default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDSung Ju Hwang
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2024
[j7]Hoyong Jeong
, Kiwon Chung, Sung Ju Hwang, Sooel Son:
Targeted Model Inversion: Distilling style encoded in predictions. Comput. Secur. 144: 103967 (2024)- [c139]Yongrae Jo, Seongyun Lee, Minju Seo, Sung Ju Hwang, Moontae Lee:
LG AI Research & KAIST at EHRSQL 2024: Self-Training Large Language Models with Pseudo-Labeled Unanswerable Questions for a Reliable Text-to-SQL System on EHRs. ClinicalNLP@NAACL 2024: 635-643 - [c138]Beomyoung Kim, Joonsang Yu, Sung Ju Hwang:
ECLIPSE: Efficient Continual Learning in Panoptic Segmentation with Visual Prompt Tuning. CVPR 2024: 3346-3356 - [c137]Jaewoo Lee, Boyang Li, Sung Ju Hwang:
Concept-skill Transferability-based Data Selection for Large Vision-Language Models. EMNLP 2024: 5060-5080 - [c136]Minju Seo, Jinheon Baek, Sung Ju Hwang:
Rethinking Code Refinement: Learning to Judge Code Efficiency. EMNLP (Findings) 2024: 11045-11056 - [c135]Sohyun An, Hayeon Lee, Jaehyeong Jo, Seanie Lee, Sung Ju Hwang:
DiffusionNAG: Predictor-guided Neural Architecture Generation with Diffusion Models. ICLR 2024 - [c134]Haeyong Kang, Jaehong Yoon, Dahyun Kim, Sung Ju Hwang, Chang D. Yoo:
Progressive Fourier Neural Representation for Sequential Video Compilation. ICLR 2024 - [c133]Heejun Lee, Jina Kim, Jeffrey Willette, Sung Ju Hwang:
SEA: Sparse Linear Attention with Estimated Attention Mask. ICLR 2024 - [c132]Dong Bok Lee, Seanie Lee, Joonho Ko, Kenji Kawaguchi, Juho Lee, Sung Ju Hwang:
Self-Supervised Dataset Distillation for Transfer Learning. ICLR 2024 - [c131]Sunil Hwang, Jaehong Yoon, Youngwan Lee, Sung Ju Hwang:
EVEREST: Efficient Masked Video Autoencoder by Removing Redundant Spatiotemporal Tokens. ICML 2024 - [c130]Jaehyeong Jo, Sung Ju Hwang:
Generative Modeling on Manifolds Through Mixture of Riemannian Diffusion Processes. ICML 2024 - [c129]Jaehyeong Jo, Dongki Kim, Sung Ju Hwang:
Graph Generation with Diffusion Mixture. ICML 2024 - [c128]Seul Lee, Seanie Lee, Kenji Kawaguchi, Sung Ju Hwang:
Drug Discovery with Dynamic Goal-aware Fragments. ICML 2024 - [c127]Daeun Lee, Jaehong Yoon, Sung Ju Hwang:
BECoTTA: Input-dependent Online Blending of Experts for Continual Test-time Adaptation. ICML 2024 - [c126]Jaewoo Lee, Jaehong Yoon, Wonjae Kim, Yunji Kim, Sung Ju Hwang:
STELLA: Continual Audio-Video Pre-training with SpatioTemporal Localized Alignment. ICML 2024 - [c125]Ruochen Wang, Sohyun An, Minhao Cheng, Tianyi Zhou, Sung Ju Hwang, Cho-Jui Hsieh:
One Prompt is not Enough: Automated Construction of a Mixture-of-Expert Prompts. ICML 2024 - [c124]Yujin Kim, Jaehong Yoon, Seonghyeon Ye, Sangmin Bae, Namgyu Ho, Sung Ju Hwang, Se-Young Yun:
Carpe diem: On the Evaluation of World Knowledge in Lifelong Language Models. NAACL-HLT 2024: 5401-5415 - [c123]Soyeong Jeong, Jinheon Baek, Sukmin Cho, Sung Ju Hwang, Jong Park:
Adaptive-RAG: Learning to Adapt Retrieval-Augmented Large Language Models through Question Complexity. NAACL-HLT 2024: 7036-7050 - [i148]Daeun Lee, Jaehong Yoon, Sung Ju Hwang:
BECoTTA: Input-dependent Online Blending of Experts for Continual Test-time Adaptation. CoRR abs/2402.08712 (2024) - [i147]Minju Seo, Jinheon Baek, James Thorne, Sung Ju Hwang:
Retrieval-Augmented Data Augmentation for Low-Resource Domain Tasks. CoRR abs/2402.13482 (2024) - [i146]Bedionita Soro, Bruno Andreis, Hayeon Lee, Song Chong, Frank Hutter, Sung Ju Hwang:
Diffusion-based Neural Network Weights Generation. CoRR abs/2402.18153 (2024) - [i145]Soyeong Jeong, Jinheon Baek, Sukmin Cho, Sung Ju Hwang, Jong C. Park:
Adaptive-RAG: Learning to Adapt Retrieval-Augmented Large Language Models through Question Complexity. CoRR abs/2403.14403 (2024) - [i144]Beomyoung Kim, Joonsang Yu, Sung Ju Hwang:
ECLIPSE: Efficient Continual Learning in Panoptic Segmentation with Visual Prompt Tuning. CoRR abs/2403.20126 (2024) - [i143]Beomyoung Kim, Donghyun Kim, Sung Ju Hwang:
Rethinking Saliency-Guided Weakly-Supervised Semantic Segmentation. CoRR abs/2404.00918 (2024) - [i142]Beomyoung Kim, Myeong-Yeon Yi, Joonsang Yu, Young Joon Yoo, Sung Ju Hwang:
Towards Label-Efficient Human Matting: A Simple Baseline for Weakly Semi-Supervised Trimap-Free Human Matting. CoRR abs/2404.00921 (2024) - [i141]Sangwon Jang, Jaehyeong Jo, Kimin Lee, Sung Ju Hwang:
Identity Decoupling for Multi-Subject Personalization of Text-to-Image Models. CoRR abs/2404.04243 (2024) - [i140]Jinheon Baek, Sujay Kumar Jauhar, Silviu Cucerzan, Sung Ju Hwang:
ResearchAgent: Iterative Research Idea Generation over Scientific Literature with Large Language Models. CoRR abs/2404.07738 (2024) - [i139]Yongrae Jo, Seongyun Lee, Minju Seo, Sung Ju Hwang, Moontae Lee:
LG AI Research & KAIST at EHRSQL 2024: Self-Training Large Language Models with Pseudo-Labeled Unanswerable Questions for a Reliable Text-to-SQL System on EHRs. CoRR abs/2405.11162 (2024) - [i138]Minseon Kim, Hyomin Lee, Boqing Gong, Huishuai Zhang, Sung Ju Hwang:
Automatic Jailbreaking of the Text-to-Image Generative AI Systems. CoRR abs/2405.16567 (2024) - [i137]Dong Bok Lee, Aoxuan Silvia Zhang, Byungjoo Kim, Junhyeon Park, Juho Lee, Sung Ju Hwang, Hae Beom Lee:
Cost-Sensitive Multi-Fidelity Bayesian Optimization with Transfer of Learning Curve Extrapolation. CoRR abs/2405.17918 (2024) - [i136]Youngwan Lee, Jeffrey Ryan Willette, Jonghee Kim, Sung Ju Hwang:
Visualizing the loss landscape of Self-supervised Vision Transformer. CoRR abs/2405.18042 (2024) - [i135]Seanie Lee, Minsu Kim, Lynn Cherif, David Dobre, Juho Lee, Sung Ju Hwang, Kenji Kawaguchi, Gauthier Gidel, Yoshua Bengio, Nikolay Malkin, Moksh Jain:
Learning diverse attacks on large language models for robust red-teaming and safety tuning. CoRR abs/2405.18540 (2024) - [i134]Heejun Lee, Geon Park, Youngwan Lee, Jina Kim, Wonyoung Jeong, Myeongjae Jeon, Sung Ju Hwang:
HiP Attention: Sparse Sub-Quadratic Attention with Hierarchical Attention Pruning. CoRR abs/2406.09827 (2024) - [i133]Jaewoo Lee, Boyang Li, Sung Ju Hwang:
Concept-skill Transferability-based Data Selection for Large Vision-Language Models. CoRR abs/2406.10995 (2024) - [i132]Soyeong Jeong, Jinheon Baek, Sukmin Cho, Sung Ju Hwang, Jong C. Park:
Database-Augmented Query Representation for Information Retrieval. CoRR abs/2406.16013 (2024) - [i131]Jeffrey Willette, Heejun Lee, Youngwan Lee, Myeongjae Jeon, Sung Ju Hwang:
Training-Free Exponential Extension of Sliding Window Context with Cascading KV Cache. CoRR abs/2406.17808 (2024) - [i130]Ruochen Wang, Sohyun An, Minhao Cheng, Tianyi Zhou, Sung Ju Hwang, Cho-Jui Hsieh:
One Prompt is not Enough: Automated Construction of a Mixture-of-Expert Prompts. CoRR abs/2407.00256 (2024) - [i129]Hamin Koo, Minseon Kim, Sung Ju Hwang:
Optimizing Query Generation for Enhanced Document Retrieval in RAG. CoRR abs/2407.12325 (2024) - [i128]Seanie Lee, Haebin Seong, Dong Bok Lee, Minki Kang, Xiaoyin Chen, Dominik Wagner, Yoshua Bengio, Juho Lee, Sung Ju Hwang:
HarmAug: Effective Data Augmentation for Knowledge Distillation of Safety Guard Models. CoRR abs/2410.01524 (2024) - [i127]Jaewoo Lee, Joonho Ko, Jinheon Baek, Soyeong Jeong, Sung Ju Hwang:
Unified Multi-Modal Interleaved Document Representation for Information Retrieval. CoRR abs/2410.02729 (2024) - [i126]Patara Trirat, Wonyong Jeong, Sung Ju Hwang:
AutoML-Agent: A Multi-Agent LLM Framework for Full-Pipeline AutoML. CoRR abs/2410.02958 (2024) - 2023
- [j6]Youngsung Kim, Yoonsuk Hyun, Jae-Joon Han, Eunho Yang, Sung Ju Hwang, Jinwoo Shin:
Deep Self-Supervised Diversity Promoting Learning on Hierarchical Hyperspheres for Regularization. IEEE Access 11: 146208-146222 (2023) - [j5]Taesik Gong, Yewon Kim, Adiba Orzikulova, Yunxin Liu, Sung Ju Hwang, Jinwoo Shin, Sung-Ju Lee:
DAPPER: Label-Free Performance Estimation after Personalization for Heterogeneous Mobile Sensing. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 7(2): 55:1-55:27 (2023) - [c122]Soyeong Jeong, Jinheon Baek, Sung Ju Hwang, Jong Park:
Phrase Retrieval for Open Domain Conversational Question Answering with Conversational Dependency Modeling via Contrastive Learning. ACL (Findings) 2023: 6019-6031 - [c121]Jinheon Baek, Alham Fikri Aji, Jens Lehmann, Sung Ju Hwang:
Direct Fact Retrieval from Knowledge Graphs without Entity Linking. ACL (1) 2023: 10038-10055 - [c120]Jin Myung Kwak, Minseon Kim, Sung Ju Hwang:
Language Detoxification with Attribute-Discriminative Latent Space. ACL (1) 2023: 10149-10171 - [c119]Hayeon Lee, Rui Hou, Jongpil Kim, Davis Liang, Sung Ju Hwang, Alexander Min:
A Study on Knowledge Distillation from Weak Teacher for Scaling Up Pre-trained Language Models. ACL (Findings) 2023: 11239-11246 - [c118]Beomyoung Kim, Joonhyun Jeong, Dongyoon Han, Sung Ju Hwang:
The Devil is in the Points: Weakly Semi-Supervised Instance Segmentation via Point-Guided Mask Representation. CVPR 2023: 11360-11370 - [c117]Soyeong Jeong, Jinheon Baek, Sung Ju Hwang, Jong Park:
Realistic Conversational Question Answering with Answer Selection based on Calibrated Confidence and Uncertainty Measurement. EACL 2023: 477-490 - [c116]Jinheon Baek, Soyeong Jeong, Minki Kang, Jong C. Park, Sung Ju Hwang:
Knowledge-Augmented Language Model Verification. EMNLP 2023: 1720-1736 - [c115]Hayeon Lee, Rui Hou, Jongpil Kim, Davis Liang, Hongbo Zhang, Sung Ju Hwang, Alexander Min:
Co-training and Co-distillation for Quality Improvement and Compression of Language Models. EMNLP (Findings) 2023: 7458-7467 - [c114]Soyeong Jeong, Jinheon Baek, Sukmin Cho, Sung Ju Hwang, Jong Park:
Test-Time Self-Adaptive Small Language Models for Question Answering. EMNLP (Findings) 2023: 15459-15469 - [c113]Minki Kang, Dongchan Min, Sung Ju Hwang:
Grad-StyleSpeech: Any-Speaker Adaptive Text-to-Speech Synthesis with Diffusion Models. ICASSP 2023: 1-5 - [c112]Jaewoong Lee, Sangwon Jang, Jaehyeong Jo, Jaehong Yoon, Yunji Kim, Jin-Hwa Kim, Jung-Woo Ha, Sung Ju Hwang:
Text-Conditioned Sampling Framework for Text-to-Image Generation with Masked Generative Models. ICCV 2023: 23195-23205 - [c111]Haeyong Kang, Jaehong Yoon, Sultan Rizky Hikmawan Madjid, Sung Ju Hwang, Chang D. Yoo:
On the Soft-Subnetwork for Few-Shot Class Incremental Learning. ICLR 2023 - [c110]Hayeon Lee, Sohyun An, Minseon Kim, Sung Ju Hwang:
Meta-prediction Model for Distillation-Aware NAS on Unseen Datasets. ICLR 2023 - [c109]Seanie Lee, Minki Kang, Juho Lee, Sung Ju Hwang, Kenji Kawaguchi:
Self-Distillation for Further Pre-training of Transformers. ICLR 2023 - [c108]Heejun Lee, Minki Kang, Youngwan Lee, Sung Ju Hwang:
Sparse Token Transformer with Attention Back Tracking. ICLR 2023 - [c107]Dong Bok Lee, Seanie Lee, Kenji Kawaguchi, Yunji Kim, Jihwan Bang, Jung-Woo Ha, Sung Ju Hwang:
Self-Supervised Set Representation Learning for Unsupervised Meta-Learning. ICLR 2023 - [c106]Youngwan Lee, Jeffrey Ryan Willette, Jonghee Kim, Juho Lee, Sung Ju Hwang:
Exploring The Role of Mean Teachers in Self-supervised Masked Auto-Encoders. ICLR 2023 - [c105]Jinheon Baek, Wonyong Jeong, Jiongdao Jin, Jaehong Yoon, Sung Ju Hwang:
Personalized Subgraph Federated Learning. ICML 2023: 1396-1415 - [c104]Byungjoo Kim, Suyoung Lee, Seanie Lee, Sooel Son, Sung Ju Hwang:
Margin-based Neural Network Watermarking. ICML 2023: 16696-16711 - [c103]Seul Lee, Jaehyeong Jo, Sung Ju Hwang:
Exploring Chemical Space with Score-based Out-of-distribution Generation. ICML 2023: 18872-18892 - [c102]Jeffrey Willette, Seanie Lee, Bruno Andreis, Kenji Kawaguchi, Juho Lee, Sung Ju Hwang:
Scalable Set Encoding with Universal Mini-Batch Consistency and Unbiased Full Set Gradient Approximation. ICML 2023: 37008-37041 - [c101]Jaehong Yoon, Sung Ju Hwang, Yue Cao:
Continual Learners are Incremental Model Generalizers. ICML 2023: 40129-40146 - [c100]Minki Kang, Wooseok Han, Sung Ju Hwang, Eunho Yang:
ZET-Speech: Zero-shot adaptive Emotion-controllable Text-to-Speech Synthesis with Diffusion and Style-based Models. INTERSPEECH 2023: 4339-4343 - [c99]Hyeonjeong Ha, Minseon Kim, Sung Ju Hwang:
Generalizable Lightweight Proxy for Robust NAS against Diverse Perturbations. NeurIPS 2023 - [c98]Sujin Jang, Dae Ung Jo, Sung Ju Hwang, Dongwook Lee, Daehyun Ji:
STXD: Structural and Temporal Cross-Modal Distillation for Multi-View 3D Object Detection. NeurIPS 2023 - [c97]Minki Kang, Seanie Lee, Jinheon Baek, Kenji Kawaguchi, Sung Ju Hwang:
Knowledge-Augmented Reasoning Distillation for Small Language Models in Knowledge-Intensive Tasks. NeurIPS 2023 - [c96]Minseon Kim, Hyeonjeong Ha, Sooel Son, Sung Ju Hwang:
Effective Targeted Attacks for Adversarial Self-Supervised Learning. NeurIPS 2023 - [c95]Minseon Kim, Jihoon Tack, Jinwoo Shin, Sung Ju Hwang:
Rethinking the Entropy of Instance in Adversarial Training. SaTML 2023: 316-326 - [i125]Jaehyeong Jo, Dongki Kim, Sung Ju Hwang:
Graph Generation with Destination-Driven Diffusion Mixture. CoRR abs/2302.03596 (2023) - [i124]Soyeong Jeong, Jinheon Baek, Sung Ju Hwang, Jong C. Park:
Realistic Conversational Question Answering with Answer Selection based on Calibrated Confidence and Uncertainty Measurement. CoRR abs/2302.05137 (2023) - [i123]Haeyong Kang, Jaehong Yoon, Sultan Rizky Hikmawan Madjid, Sung Ju Hwang, Chang D. Yoo:
Forget-free Continual Learning with Soft-Winning SubNetworks. CoRR abs/2303.14962 (2023) - [i122]Beomyoung Kim, Joonhyun Jeong, Dongyoon Han, Sung Ju Hwang:
The Devil is in the Points: Weakly Semi-Supervised Instance Segmentation via Point-Guided Mask Representation. CoRR abs/2303.15062 (2023) - [i121]Jaewoong Lee, Sangwon Jang, Jaehyeong Jo, Jaehong Yoon, Yunji Kim, Jin-Hwa Kim, Jung-Woo Ha, Sung Ju Hwang:
Text-Conditioned Sampling Framework for Text-to-Image Generation with Masked Generative Models. CoRR abs/2304.01515 (2023) - [i120]Jinheon Baek, Alham Fikri Aji, Jens Lehmann, Sung Ju Hwang:
Direct Fact Retrieval from Knowledge Graphs without Entity Linking. CoRR abs/2305.12416 (2023) - [i119]Minki Kang, Wooseok Han, Sung Ju Hwang, Eunho Yang:
ZET-Speech: Zero-shot adaptive Emotion-controllable Text-to-Speech Synthesis with Diffusion and Style-based Models. CoRR abs/2305.13831 (2023) - [i118]Bruno Andreis, Bedionita Soro, Sung Ju Hwang:
Set-based Neural Network Encoding. CoRR abs/2305.16625 (2023) - [i117]Sohyun An, Hayeon Lee, Jaehyeong Jo, Seanie Lee, Sung Ju Hwang:
DiffusionNAG: Task-guided Neural Architecture Generation with Diffusion Models. CoRR abs/2305.16943 (2023) - [i116]Hayeon Lee, Sohyun An, Minseon Kim, Sung Ju Hwang:
Meta-prediction Model for Distillation-Aware NAS on Unseen Datasets. CoRR abs/2305.16948 (2023) - [i115]Hayeon Lee, Rui Hou, Jongpil Kim, Davis Liang, Sung Ju Hwang, Alexander Min:
A Study on Knowledge Distillation from Weak Teacher for Scaling Up Pre-trained Language Models. CoRR abs/2305.18239 (2023) - [i114]Minki Kang, Seanie Lee, Jinheon Baek, Kenji Kawaguchi, Sung Ju Hwang:
Knowledge-Augmented Reasoning Distillation for Small Language Models in Knowledge-Intensive Tasks. CoRR abs/2305.18395 (2023) - [i113]Minki Kang, Jin Myung Kwak, Jinheon Baek, Sung Ju Hwang:
Knowledge Graph-Augmented Language Models for Knowledge-Grounded Dialogue Generation. CoRR abs/2305.18846 (2023) - [i112]Doyeon Kim, Eunji Ko, Hyunsu Kim, Yunji Kim, Junho Kim, Dongchan Min, Junmo Kim, Sung Ju Hwang:
Context-Preserving Two-Stage Video Domain Translation for Portrait Stylization. CoRR abs/2305.19135 (2023) - [i111]Soyeong Jeong, Jinheon Baek, Sung Ju Hwang, Jong C. Park:
Phrase Retrieval for Open-Domain Conversational Question Answering with Conversational Dependency Modeling via Contrastive Learning. CoRR abs/2306.04293 (2023) - [i110]Hyeonjeong Ha, Minseon Kim, Sung Ju Hwang:
Generalizable Lightweight Proxy for Robust NAS against Diverse Perturbations. CoRR abs/2306.05031 (2023) - [i109]Haeyong Kang, Dahyun Kim, Jaehong Yoon, Sung Ju Hwang, Chang D. Yoo:
Progressive Neural Representation for Sequential Video Compilation. CoRR abs/2306.11305 (2023) - [i108]Jaehong Yoon, Sung Ju Hwang, Yue Cao:
Continual Learners are Incremental Model Generalizers. CoRR abs/2306.12026 (2023) - [i107]Seul Lee, Seanie Lee, Sung Ju Hwang:
Drug Discovery with Dynamic Goal-aware Fragments. CoRR abs/2310.00841 (2023) - [i106]Heejun Lee, Jina Kim, Jeffrey Willette, Sung Ju Hwang:
SEA: Sparse Linear Attention with Estimated Attention Mask. CoRR abs/2310.01777 (2023) - [i105]Dong Bok Lee, Seanie Lee, Joonho Ko, Kenji Kawaguchi, Juho Lee, Sung Ju Hwang:
Self-Supervised Dataset Distillation for Transfer Learning. CoRR abs/2310.06511 (2023) - [i104]Jaehyeong Jo, Sung Ju Hwang:
Generative Modeling on Manifolds Through Mixture of Riemannian Diffusion Processes. CoRR abs/2310.07216 (2023) - [i103]Jaewoo Lee, Jaehong Yoon, Wonjae Kim, Yunji Kim, Sung Ju Hwang:
STELLA: Continual Audio-Video Pre-training with Spatio-Temporal Localized Alignment. CoRR abs/2310.08204 (2023) - [i102]Jinheon Baek, Soyeong Jeong, Minki Kang, Jong C. Park, Sung Ju Hwang:
Knowledge-Augmented Language Model Verification. CoRR abs/2310.12836 (2023) - [i101]Soyeong Jeong, Jinheon Baek, Sukmin Cho, Sung Ju Hwang, Jong C. Park:
Test-Time Self-Adaptive Small Language Models for Question Answering. CoRR abs/2310.13307 (2023) - [i100]Hayeon Lee, Rui Hou, Jongpil Kim, Davis Liang, Hongbo Zhang, Sung Ju Hwang, Alexander Min:
Co-training and Co-distillation for Quality Improvement and Compression of Language Models. CoRR abs/2311.02849 (2023) - [i99]Jin Myung Kwak, Minseon Kim, Sung Ju Hwang:
Context-dependent Instruction Tuning for Dialogue Response Generation. CoRR abs/2311.07006 (2023) - [i98]Yujin Kim, Jaehong Yoon, Seonghyeon Ye, Sung Ju Hwang, Se-young Yun:
Carpe Diem: On the Evaluation of World Knowledge in Lifelong Language Models. CoRR abs/2311.08106 (2023) - [i97]Youngwan Lee, Kwanyong Park, Yoorhim Cho, Yong-Ju Lee, Sung Ju Hwang:
KOALA: Self-Attention Matters in Knowledge Distillation of Latent Diffusion Models for Memory-Efficient and Fast Image Synthesis. CoRR abs/2312.04005 (2023) - [i96]Taewook Nam, Juyong Lee, Jesse Zhang, Sung Ju Hwang, Joseph J. Lim, Karl Pertsch:
LiFT: Unsupervised Reinforcement Learning with Foundation Models as Teachers. CoRR abs/2312.08958 (2023) - [i95]Haeyong Kang, Jaehong Yoon, Sung Ju Hwang, Chang D. Yoo:
Continual Learning: Forget-free Winning Subnetworks for Video Representations. CoRR abs/2312.11973 (2023) - 2022
- [j4]Youngbum Hur, Eunho Yang, Sung Ju Hwang:
A Simple Framework for Robust Out-of-Distribution Detection. IEEE Access 10: 23086-23097 (2022) - [j3]Hanze Dong, Yanwei Fu, Sung Ju Hwang, Leonid Sigal, Xiangyang Xue:
Learning the Compositional Domains for Generalized Zero-shot Learning. Comput. Vis. Image Underst. 221: 103454 (2022) - [c94]Joonhyung Park, June Yong Yang, Jinwoo Shin, Sung Ju Hwang, Eunho Yang:
Saliency Grafting: Innocuous Attribution-Guided Mixup with Calibrated Label Mixing. AAAI 2022: 7957-7965 - [c93]Jihoon Tack, Sihyun Yu, Jongheon Jeong, Minseon Kim, Sung Ju Hwang, Jinwoo Shin:
Consistency Regularization for Adversarial Robustness. AAAI 2022: 8414-8422 - [c92]Soyeong Jeong, Jinheon Baek, Sukmin Cho, Sung Ju Hwang, Jong C. Park:
Augmenting Document Representations for Dense Retrieval with Interpolation and Perturbation. ACL (2) 2022: 442-452 - [c91]Youngwan Lee, Jonghee Kim, Jeffrey Willette, Sung Ju Hwang:
MPViT: Multi-Path Vision Transformer for Dense Prediction. CVPR 2022: 7277-7286 - [c90]Youngwan Lee, Joong-Won Hwang, Hyung-Il Kim, Kimin Yun, Yongjin Kwon, Yuseok Bae, Sung Ju Hwang:
Localization Uncertainty Estimation for Anchor-Free Object Detection. ECCV Workshops (8) 2022: 27-42 - [c89]Geon Park, Jaehong Yoon, Haiyang Zhang, Xing Zhang, Sung Ju Hwang, Yonina C. Eldar:
BiTAT: Neural Network Binarization with Task-Dependent Aggregated Transformation. ECCV Workshops (7) 2022: 50-66 - [c88]Jongha Kim, Jinheon Baek, Sung Ju Hwang:
Object Detection in Aerial Images with Uncertainty-Aware Graph Network. ECCV Workshops (4) 2022: 521-536 - [c87]Seanie Lee, Haebeom Lee, Juho Lee, Sung Ju Hwang:
Sequential Reptile: Inter-Task Gradient Alignment for Multilingual Learning. ICLR 2022 - [c86]Haebeom Lee, Hayeon Lee, Jaewoong Shin, Eunho Yang, Timothy M. Hospedales, Sung Ju Hwang:
Online Hyperparameter Meta-Learning with Hypergradient Distillation. ICLR 2022 - [c85]Divyam Madaan, Jaehong Yoon, Yuanchun Li, Yunxin Liu, Sung Ju Hwang:
Representational Continuity for Unsupervised Continual Learning. ICLR 2022 - [c84]Taewook Nam, Shao-Hua Sun, Karl Pertsch, Sung Ju Hwang, Joseph J. Lim:
Skill-based Meta-Reinforcement Learning. ICLR 2022 - [c83]Youngmin Oh, Jinwoo Shin, Eunho Yang, Sung Ju Hwang:
Model-augmented Prioritized Experience Replay. ICLR 2022 - [c82]Jeffrey Ryan Willette, Hae Beom Lee, Juho Lee, Sung Ju Hwang:
Meta Learning Low Rank Covariance Factors for Energy Based Deterministic Uncertainty. ICLR 2022 - [c81]Jaehong Yoon, Divyam Madaan, Eunho Yang, Sung Ju Hwang:
Online Coreset Selection for Rehearsal-based Continual Learning. ICLR 2022 - [c80]Bruno Andreis, Seanie Lee, Tuan A. Nguyen, Juho Lee, Eunho Yang, Sung Ju Hwang:
Set Based Stochastic Subsampling. ICML 2022: 619-638 - [c79]Jaehyeong Jo, Seul Lee, Sung Ju Hwang:
Score-based Generative Modeling of Graphs via the System of Stochastic Differential Equations. ICML 2022: 10362-10383 - [c78]Haeyong Kang, Rusty John Lloyd Mina, Sultan Rizky Hikmawan Madjid, Jaehong Yoon, Mark Hasegawa-Johnson, Sung Ju Hwang, Chang D. Yoo:
Forget-free Continual Learning with Winning Subnetworks. ICML 2022: 10734-10750 - [c77]Jaehong Yoon, Geon Park, Wonyong Jeong, Sung Ju Hwang:
Bitwidth Heterogeneous Federated Learning with Progressive Weight Dequantization. ICML 2022: 25552-25565 - [c76]Minki Kang, Jinheon Baek, Sung Ju Hwang:
KALA: Knowledge-Augmented Language Model Adaptation. NAACL-HLT 2022: 5144-5167 - [c75]Wonyong Jeong, Sung Ju Hwang:
Factorized-FL: Personalized Federated Learning with Parameter Factorization & Similarity Matching. NeurIPS 2022 - [c74]Hoyong Jeong, Suyoung Lee, Sung Ju Hwang, Sooel Son:
Learning to Generate Inversion-Resistant Model Explanations. NeurIPS 2022 - [c73]Dongki Kim, Jinheon Baek, Sung Ju Hwang:
Graph Self-supervised Learning with Accurate Discrepancy Learning. NeurIPS 2022 - [c72]Seanie Lee, Bruno Andreis, Kenji Kawaguchi, Juho Lee, Sung Ju Hwang:
Set-based Meta-Interpolation for Few-Task Meta-Learning. NeurIPS 2022 - [i94]Wonyong Jeong, Sung Ju Hwang:
Factorized-FL: Agnostic Personalized Federated Learning with Kernel Factorization & Similarity Matching. CoRR abs/2202.00270 (2022) - [i93]Jaehyeong Jo, Seul Lee, Sung Ju Hwang:
Score-based Generative Modeling of Graphs via the System of Stochastic Differential Equations. CoRR abs/2202.02514 (2022) - [i92]Dongki Kim, Jinheon Baek, Sung Ju Hwang:
Graph Self-supervised Learning with Accurate Discrepancy Learning. CoRR abs/2202.02989 (2022) - [i91]Jaehong Yoon, Geon Park, Wonyong Jeong, Sung Ju Hwang:
Bitwidth Heterogeneous Federated Learning with Progressive Weight Dequantization. CoRR abs/2202.11453 (2022) - [i90]Soyeong Jeong, Jinheon Baek, Sukmin Cho, Sung Ju Hwang, Jong C. Park:
Augmenting Document Representations for Dense Retrieval with Interpolation and Perturbation. CoRR abs/2203.07735 (2022) - [i89]Minki Kang, Jinheon Baek, Sung Ju Hwang:
KALA: Knowledge-Augmented Language Model Adaptation. CoRR abs/2204.10555 (2022) - [i88]Taewook Nam, Shao-Hua Sun, Karl Pertsch, Sung Ju Hwang, Joseph J. Lim:
Skill-based Meta-Reinforcement Learning. CoRR abs/2204.11828 (2022) - [i87]Seanie Lee, Andreis Bruno, Kenji Kawaguchi, Juho Lee, Sung Ju Hwang:
Set-based Meta-Interpolation for Few-Task Meta-Learning. CoRR abs/2205.09990 (2022) - [i86]Seul Lee, Jaehyeong Jo, Sung Ju Hwang:
Exploring Chemical Space with Score-based Out-of-distribution Generation. CoRR abs/2206.07632 (2022) - [i85]Hyunsu Rhee, Dongchan Min, Sunil Hwang, Bruno Andreis, Sung Ju Hwang:
Distortion-Aware Network Pruning and Feature Reuse for Real-time Video Segmentation. CoRR abs/2206.09604 (2022) - [i84]Jinheon Baek, Wonyong Jeong, Jiongdao Jin, Jaehong Yoon, Sung Ju Hwang:
Personalized Subgraph Federated Learning. CoRR abs/2206.10206 (2022) - [i83]Geon Park, Jaehong Yoon, Haiyang Zhang, Xing Zhang, Sung Ju Hwang, Yonina C. Eldar:
BiTAT: Neural Network Binarization with Task-dependent Aggregated Transformation. CoRR abs/2207.01394 (2022) - [i82]Hae Beom Lee, Dong Bok Lee, Sung Ju Hwang:
Dataset Condensation with Latent Space Knowledge Factorization and Sharing. CoRR abs/2208.10494 (2022) - [i81]Jongha Kim, Jinheon Baek, Sung Ju Hwang:
Object Detection in Aerial Images with Uncertainty-Aware Graph Network. CoRR abs/2208.10781 (2022) - [i80]Dongchan Min, Minyoung Song, Sung Ju Hwang:
StyleTalker: One-shot Style-based Audio-driven Talking Head Video Generation. CoRR abs/2208.10922 (2022) - [i79]Jeffrey Willette, Andreis Bruno, Juho Lee, Sung Ju Hwang:
Universal Mini-Batch Consistency for Set Encoding Functions. CoRR abs/2208.12401 (2022) - [i78]Haeyong Kang, Jaehong Yoon, Sultan Rizky Hikmawan Madjid, Sung Ju Hwang, Chang D. Yoo:
On the Soft-Subnetwork for Few-shot Class Incremental Learning. CoRR abs/2209.07529 (2022) - [i77]Youngwan Lee, Jeffrey Willette, Jonghee Kim, Juho Lee, Sung Ju Hwang:
Exploring The Role of Mean Teachers in Self-supervised Masked Auto-Encoders. CoRR abs/2210.02077 (2022) - [i76]Seanie Lee, Minki Kang, Juho Lee, Sung Ju Hwang, Kenji Kawaguchi:
Self-Distillation for Further Pre-training of Transformers. CoRR abs/2210.02871 (2022) - [i75]Jin Myung Kwak, Minseon Kim, Sung Ju Hwang:
Language Detoxification with Attribute-Discriminative Latent Space. CoRR abs/2210.10329 (2022) - [i74]Minseon Kim, Hyeonjeong Ha, Sooel Son, Sung Ju Hwang:
Targeted Adversarial Self-Supervised Learning. CoRR abs/2210.10482 (2022) - [i73]Minseon Kim, Hyeonjeong Ha, Sung Ju Hwang:
Few-shot Transferable Robust Representation Learning via Bilevel Attacks. CoRR abs/2210.10485 (2022) - [i72]Minki Kang, Dongchan Min, Sung Ju Hwang:
Any-speaker Adaptive Text-To-Speech Synthesis with Diffusion Models. CoRR abs/2211.09383 (2022) - [i71]Sunil Hwang, Jaehong Yoon, Youngwan Lee, Sung Ju Hwang:
Efficient Video Representation Learning via Masked Video Modeling with Motion-centric Token Selection. CoRR abs/2211.10636 (2022) - 2021
- [c71]Seung-Woo Seo, You Young Song, June Yong Yang, Seohui Bae, Hankook Lee, Jinwoo Shin, Sung Ju Hwang, Eunho Yang:
GTA: Graph Truncated Attention for Retrosynthesis. AAAI 2021: 531-539 - [c70]Tuan A. Nguyen, Hyewon Jeong, Eunho Yang, Sung Ju Hwang:
Clinical Risk Prediction with Temporal Probabilistic Asymmetric Multi-Task Learning. AAAI 2021: 9081-9091 - [c69]Seanie Lee, Minki Kang, Juho Lee, Sung Ju Hwang:
Learning to Perturb Word Embeddings for Out-of-distribution QA. ACL/IJCNLP (1) 2021: 5583-5595 - [c68]Jung Hyun Lee, Jihun Yun, Sung Ju Hwang, Eunho Yang:
Cluster-Promoting Quantization with Bit-Drop for Minimizing Network Quantization Loss. ICCV 2021: 5350-5359 - [c67]Jinheon Baek, Minki Kang, Sung Ju Hwang:
Accurate Learning of Graph Representations with Graph Multiset Pooling. ICLR 2021 - [c66]Wonyong Jeong, Jaehong Yoon, Eunho Yang, Sung Ju Hwang:
Federated Semi-Supervised Learning with Inter-Client Consistency & Disjoint Learning. ICLR 2021 - [c65]Hayeon Lee, Eunyoung Hyung, Sung Ju Hwang:
Rapid Neural Architecture Search by Learning to Generate Graphs from Datasets. ICLR 2021 - [c64]Seanie Lee, Dong Bok Lee, Sung Ju Hwang:
Contrastive Learning with Adversarial Perturbations for Conditional Text Generation. ICLR 2021 - [c63]Dong Bok Lee, Dongchan Min, Seanie Lee, Sung Ju Hwang:
Meta-GMVAE: Mixture of Gaussian VAE for Unsupervised Meta-Learning. ICLR 2021 - [c62]Youngmin Oh, Kimin Lee, Jinwoo Shin, Eunho Yang, Sung Ju Hwang:
Learning to Sample with Local and Global Contexts in Experience Replay Buffer. ICLR 2021 - [c61]Tehrim Yoon, Sumin Shin, Sung Ju Hwang, Eunho Yang:
FedMix: Approximation of Mixup under Mean Augmented Federated Learning. ICLR 2021 - [c60]Divyam Madaan, Jinwoo Shin, Sung Ju Hwang:
Learning to Generate Noise for Multi-Attack Robustness. ICML 2021: 7279-7289 - [c59]Dongchan Min, Dong Bok Lee, Eunho Yang, Sung Ju Hwang:
Meta-StyleSpeech : Multi-Speaker Adaptive Text-to-Speech Generation. ICML 2021: 7748-7759 - [c58]Jaewoong Shin, Haebeom Lee, Boqing Gong, Sung Ju Hwang:
Large-Scale Meta-Learning with Continual Trajectory Shifting. ICML 2021: 9603-9613 - [c57]Jongmin Yoon, Sung Ju Hwang, Juho Lee:
Adversarial Purification with Score-based Generative Models. ICML 2021: 12062-12072 - [c56]Jaehong Yoon, Wonyong Jeong, Giwoong Lee, Eunho Yang, Sung Ju Hwang:
Federated Continual Learning with Weighted Inter-client Transfer. ICML 2021: 12073-12086 - [c55]Hankook Lee, Sungsoo Ahn, Seung-Woo Seo, You Young Song, Eunho Yang, Sung Ju Hwang, Jinwoo Shin:
RetCL: A Selection-based Approach for Retrosynthesis via Contrastive Learning. IJCAI 2021: 2673-2679 - [c54]Ho-Gyeong Kim, Min-Joong Lee, Hoshik Lee, Tae Gyoon Kang, Jihyun Lee, Eunho Yang, Sung Ju Hwang:
Multi-Domain Knowledge Distillation via Uncertainty-Matching for End-to-End ASR Models. Interspeech 2021: 2531-2535 - [c53]Jaehyeong Jo, Jinheon Baek, Seul Lee, Dongki Kim, Minki Kang, Sung Ju Hwang:
Edge Representation Learning with Hypergraphs. NeurIPS 2021: 7534-7546 - [c52]Soojung Yang, Doyeong Hwang, Seul Lee, Seongok Ryu, Sung Ju Hwang:
Hit and Lead Discovery with Explorative RL and Fragment-based Molecule Generation. NeurIPS 2021: 7924-7936 - [c51]Wonyong Jeong, Hayeon Lee, Geon Park, Eunyoung Hyung, Jinheon Baek, Sung Ju Hwang:
Task-Adaptive Neural Network Search with Meta-Contrastive Learning. NeurIPS 2021: 21310-21324 - [c50]Andreis Bruno, Jeffrey Willette, Juho Lee, Sung Ju Hwang:
Mini-Batch Consistent Slot Set Encoder for Scalable Set Encoding. NeurIPS 2021: 21365-21374 - [c49]Hayeon Lee, Sewoong Lee, Song Chong, Sung Ju Hwang:
Hardware-adaptive Efficient Latency Prediction for NAS via Meta-Learning. NeurIPS 2021: 27016-27028 - [i70]Youngmin Oh, Jinwoo Shin, Eunho Yang, Sung Ju Hwang:
Model-Augmented Q-learning. CoRR abs/2102.03866 (2021) - [i69]Jaewoong Shin, Haebeom Lee, Boqing Gong, Sung Ju Hwang:
Large-Scale Meta-Learning with Continual Trajectory Shifting. CoRR abs/2102.07215 (2021) - [i68]Jeffrey Willette, Juho Lee, Sung Ju Hwang:
Improving Uncertainty Calibration via Prior Augmented Data. CoRR abs/2102.10803 (2021) - [i67]Jinheon Baek, Minki Kang, Sung Ju Hwang:
Accurate Learning of Graph Representations with Graph Multiset Pooling. CoRR abs/2102.11533 (2021) - [i66]Wonyong Jeong, Hayeon Lee, Gun Park, Eunyoung Hyung, Jinheon Baek, Sung Ju Hwang:
Task-Adaptive Neural Network Retrieval with Meta-Contrastive Learning. CoRR abs/2103.01495 (2021) - [i65]Andreis Bruno, Jeffrey Willette, Juho Lee, Sung Ju Hwang:
Mini-Batch Consistent Slot Set Encoder for Scalable Set Encoding. CoRR abs/2103.01615 (2021) - [i64]Jihoon Tack, Sihyun Yu, Jongheon Jeong, Minseon Kim, Sung Ju Hwang, Jinwoo Shin:
Consistency Regularization for Adversarial Robustness. CoRR abs/2103.04623 (2021) - [i63]Hankook Lee, Sungsoo Ahn, Seung-Woo Seo, You Young Song, Sung Ju Hwang, Eunho Yang, Jinwoo Shin:
RetCL: A Selection-based Approach for Retrosynthesis via Contrastive Learning. CoRR abs/2105.00795 (2021) - [i62]Seanie Lee, Minki Kang, Juho Lee, Sung Ju Hwang:
Learning to Perturb Word Embeddings for Out-of-distribution QA. CoRR abs/2105.02692 (2021) - [i61]Jaehong Yoon, Divyam Madaan, Eunho Yang, Sung Ju Hwang:
Online Coreset Selection for Rehearsal-based Continual Learning. CoRR abs/2106.01085 (2021) - [i60]Dongchan Min, Dong Bok Lee, Eunho Yang, Sung Ju Hwang:
Meta-StyleSpeech : Multi-Speaker Adaptive Text-to-Speech Generation. CoRR abs/2106.03153 (2021) - [i59]Jongmin Yoon, Sung Ju Hwang, Juho Lee:
Adversarial purification with Score-based generative models. CoRR abs/2106.06041 (2021) - [i58]Hayeon Lee, Sewoong Lee, Song Chong, Sung Ju Hwang:
HELP: Hardware-Adaptive Efficient Latency Predictor for NAS via Meta-Learning. CoRR abs/2106.08630 (2021) - [i57]Jaehyeong Jo, Jinheon Baek, Seul Lee, Dongki Kim, Minki Kang, Sung Ju Hwang:
Edge Representation Learning with Hypergraphs. CoRR abs/2106.15845 (2021) - [i56]Tehrim Yoon, Sumin Shin, Sung Ju Hwang, Eunho Yang:
FedMix: Approximation of Mixup under Mean Augmented Federated Learning. CoRR abs/2107.00233 (2021) - [i55]Hayeon Lee, Eunyoung Hyung, Sung Ju Hwang:
Rapid Neural Architecture Search by Learning to Generate Graphs from Datasets. CoRR abs/2107.00860 (2021) - [i54]Jung Hyun Lee, Jihun Yun, Sung Ju Hwang, Eunho Yang:
Cluster-Promoting Quantization with Bit-Drop for Minimizing Network Quantization Loss. CoRR abs/2109.02100 (2021) - [i53]Soojung Yang, Doyeong Hwang, Seul Lee, Seongok Ryu, Sung Ju Hwang:
Hit and Lead Discovery with Explorative RL and Fragment-based Molecule Generation. CoRR abs/2110.01219 (2021) - [i52]Haebeom Lee, Hayeon Lee, Jaewoong Shin, Eunho Yang, Timothy M. Hospedales, Sung Ju Hwang:
Online Hyperparameter Meta-Learning with Hypergradient Distillation. CoRR abs/2110.02508 (2021) - [i51]Seanie Lee, Haebeom Lee, Juho Lee, Sung Ju Hwang:
Sequential Reptile: Inter-Task Gradient Alignment for Multilingual Learning. CoRR abs/2110.02600 (2021) - [i50]Jeffrey Ryan Willette, Haebeom Lee, Juho Lee, Sung Ju Hwang:
Meta Learning Low Rank Covariance Factors for Energy-Based Deterministic Uncertainty. CoRR abs/2110.06381 (2021) - [i49]Divyam Madaan, Jaehong Yoon, Yuanchun Li, Yunxin Liu, Sung Ju Hwang:
Rethinking the Representational Continuity: Towards Unsupervised Continual Learning. CoRR abs/2110.06976 (2021) - [i48]Taesik Gong, Yewon Kim, Adiba Orzikulova, Yunxin Liu, Sung Ju Hwang, Jinwoo Shin, Sung-Ju Lee:
DAPPER: Performance Estimation of Domain Adaptation in Mobile Sensing. CoRR abs/2111.11053 (2021) - [i47]Joonhyung Park, June Yong Yang, Jinwoo Shin, Sung Ju Hwang, Eunho Yang:
Saliency Grafting: Innocuous Attribution-Guided Mixup with Calibrated Label Mixing. CoRR abs/2112.08796 (2021) - [i46]Youngwan Lee, Jonghee Kim, Jeffrey Willette, Sung Ju Hwang:
MPViT: Multi-Path Vision Transformer for Dense Prediction. CoRR abs/2112.11010 (2021) - 2020
- [c48]Ingyo Chung, Saehoon Kim, Juho Lee, Kwang Joon Kim, Sung Ju Hwang, Eunho Yang:
Deep Mixed Effect Model Using Gaussian Processes: A Personalized and Reliable Prediction for Healthcare. AAAI 2020: 3649-3657 - [c47]Dong Bok Lee, Seanie Lee, Woo Tae Jeong, Donghwan Kim, Sung Ju Hwang:
Generating Diverse and Consistent QA pairs from Contexts with Information-Maximizing Hierarchical Conditional VAEs. ACL 2020: 208-224 - [c46]Minki Kang, Moonsu Han, Sung Ju Hwang:
Neural Mask Generator: Learning to Generate Adaptive Word Maskings for Language Model Adaptation. EMNLP (1) 2020: 6102-6120 - [c45]Haebeom Lee, Hayeon Lee, Donghyun Na, Saehoon Kim, Minseop Park, Eunho Yang, Sung Ju Hwang:
Learning to Balance: Bayesian Meta-Learning for Imbalanced and Out-of-distribution Tasks. ICLR 2020 - [c44]Haebeom Lee, Taewook Nam, Eunho Yang, Sung Ju Hwang:
Meta Dropout: Learning to Perturb Latent Features for Generalization. ICLR 2020 - [c43]Joonyoung Yi, Juhyuk Lee, Kwang Joon Kim, Sung Ju Hwang, Eunho Yang:
Why Not to Use Zero Imputation? Correcting Sparsity Bias in Training Neural Networks. ICLR 2020 - [c42]Jaehong Yoon, Saehoon Kim, Eunho Yang, Sung Ju Hwang:
Scalable and Order-robust Continual Learning with Additive Parameter Decomposition. ICLR 2020 - [c41]Jay Heo, Junhyeon Park, Hyewon Jeong, Kwang Joon Kim, Juho Lee, Eunho Yang, Sung Ju Hwang:
Cost-Effective Interactive Attention Learning with Neural Attention Processes. ICML 2020: 4228-4238 - [c40]Hankook Lee, Sung Ju Hwang, Jinwoo Shin:
Self-supervised Label Augmentation via Input Transformations. ICML 2020: 5714-5724 - [c39]Divyam Madaan, Jinwoo Shin, Sung Ju Hwang:
Adversarial Neural Pruning with Latent Vulnerability Suppression. ICML 2020: 6575-6585 - [c38]Seong-Jin Park, Seungju Han, Ji-Won Baek, Insoo Kim, Juhwan Song, Haebeom Lee, Jae-Joon Han, Sung Ju Hwang:
Meta Variance Transfer: Learning to Augment from the Others. ICML 2020: 7510-7520 - [c37]Dokwan Oh, Daehyun Ji, Cheolhun Jang, Yoonsuk Hyun, Hong S. Bae, Sung Ju Hwang:
Segmenting 2K-Videos at 36.5 FPS with 24.3 GFLOPs: Accurate and Lightweight Realtime Semantic Segmentation Network. ICRA 2020: 3153-3160 - [c36]Seong Min Kye, Youngmoon Jung, Haebeom Lee, Sung Ju Hwang, Hoirin Kim:
Meta-Learning for Short Utterance Speaker Recognition with Imbalance Length Pairs. INTERSPEECH 2020: 2982-2986 - [c35]Jinheon Baek, Dong Bok Lee, Sung Ju Hwang:
Learning to Extrapolate Knowledge: Transductive Few-shot Out-of-Graph Link Prediction. NeurIPS 2020 - [c34]In Huh, Eunho Yang, Sung Ju Hwang, Jinwoo Shin:
Time-Reversal Symmetric ODE Network. NeurIPS 2020 - [c33]Jaehyung Kim, Youngbum Hur, Sejun Park, Eunho Yang, Sung Ju Hwang, Jinwoo Shin:
Distribution Aligning Refinery of Pseudo-label for Imbalanced Semi-supervised Learning. NeurIPS 2020 - [c32]Youngsung Kim, Jinwoo Shin, Eunho Yang, Sung Ju Hwang:
Few-shot Visual Reasoning with Meta-Analogical Contrastive Learning. NeurIPS 2020 - [c31]Minseon Kim, Jihoon Tack, Sung Ju Hwang:
Adversarial Self-Supervised Contrastive Learning. NeurIPS 2020 - [c30]Yoonho Lee, Juho Lee, Sung Ju Hwang, Eunho Yang, Seungjin Choi:
Neural Complexity Measures. NeurIPS 2020 - [c29]Juho Lee, Yoonho Lee, Jungtaek Kim, Eunho Yang, Sung Ju Hwang, Yee Whye Teh:
Bootstrapping neural processes. NeurIPS 2020 - [c28]Geondo Park, June Yong Yang, Sung Ju Hwang, Eunho Yang:
Attribution Preservation in Network Compression for Reliable Network Interpretation. NeurIPS 2020 - [c27]Jeongun Ryu, Jaewoong Shin, Haebeom Lee, Sung Ju Hwang:
MetaPerturb: Transferable Regularizer for Heterogeneous Tasks and Architectures. NeurIPS 2020 - [i45]Seong Min Kye, Haebeom Lee, Hoirin Kim, Sung Ju Hwang:
Transductive Few-shot Learning with Meta-Learned Confidence. CoRR abs/2002.12017 (2020) - [i44]Jaehong Yoon, Wonyong Jeong, Giwoong Lee, Eunho Yang, Sung Ju Hwang:
Federated Continual Learning with Adaptive Parameter Communication. CoRR abs/2003.03196 (2020) - [i43]Seong Min Kye, Youngmoon Jung, Haebeom Lee, Sung Ju Hwang, Hoirin Kim:
Meta-Learning for Short Utterance Speaker Recognition with Imbalance Length Pairs. CoRR abs/2004.02863 (2020) - [i42]Dong Bok Lee, Seanie Lee, Woo Tae Jeong, Donghwan Kim, Sung Ju Hwang:
Generating Diverse and Consistent QA pairs from Contexts with Information-Maximizing Hierarchical Conditional VAEs. CoRR abs/2005.13837 (2020) - [i41]Jay Heo, Junhyeon Park, Hyewon Jeong, Kwang Joon Kim, Juho Lee, Eunho Yang, Sung Ju Hwang:
Cost-effective Interactive Attention Learning with Neural Attention Processes. CoRR abs/2006.05419 (2020) - [i40]Jinheon Baek, Dong Bok Lee, Sung Ju Hwang:
Learning to Extrapolate Knowledge: Transductive Few-shot Out-of-Graph Link Prediction. CoRR abs/2006.06648 (2020) - [i39]Jeongun Ryu, Jaewoong Shin, Haebeom Lee, Sung Ju Hwang:
MetaPerturb: Transferable Regularizer for Heterogeneous Tasks and Architectures. CoRR abs/2006.07540 (2020) - [i38]Minseon Kim, Jihoon Tack, Sung Ju Hwang:
Adversarial Self-Supervised Contrastive Learning. CoRR abs/2006.07589 (2020) - [i37]Wonyong Jeong, Jaehong Yoon, Eunho Yang, Sung Ju Hwang:
Federated Semi-Supervised Learning with Inter-Client Consistency. CoRR abs/2006.12097 (2020) - [i36]Divyam Madaan, Jinwoo Shin, Sung Ju Hwang:
Learning to Generate Noise for Robustness against Multiple Perturbations. CoRR abs/2006.12135 (2020) - [i35]Minyoung Song, Jaehong Yoon, Eunho Yang, Sung Ju Hwang:
Rapid Structural Pruning of Neural Networks with Set-based Task-Adaptive Meta-Pruning. CoRR abs/2006.12139 (2020) - [i34]Tuan A. Nguyen, Hyewon Jeong, Eunho Yang, Sung Ju Hwang:
Clinical Risk Prediction with Temporal Probabilistic Asymmetric Multi-Task Learning. CoRR abs/2006.12777 (2020) - [i33]Tuan A. Nguyen, Andreis Bruno, Juho Lee, Eunho Yang, Sung Ju Hwang:
Stochastic Subset Selection. CoRR abs/2006.14222 (2020) - [i32]Youngmin Oh, Kimin Lee, Jinwoo Shin, Eunho Yang, Sung Ju Hwang:
Learning to Sample with Local and Global Contexts in Experience Replay Buffer. CoRR abs/2007.07358 (2020) - [i31]Jaehyung Kim, Youngbum Hur, Sejun Park, Eunho Yang, Sung Ju Hwang, Jinwoo Shin:
Distribution Aligning Refinery of Pseudo-label for Imbalanced Semi-supervised Learning. CoRR abs/2007.08844 (2020) - [i30]In Huh, Eunho Yang, Sung Ju Hwang, Jinwoo Shin:
Time-Reversal Symmetric ODE Network. CoRR abs/2007.11362 (2020) - [i29]Youngsung Kim, Jinwoo Shin, Eunho Yang, Sung Ju Hwang:
Few-shot Visual Reasoning with Meta-analogical Contrastive Learning. CoRR abs/2007.12020 (2020) - [i28]Yoonho Lee, Juho Lee, Sung Ju Hwang, Eunho Yang, Seungjin Choi:
Neural Complexity Measures. CoRR abs/2008.02953 (2020) - [i27]Juho Lee, Yoonho Lee, Jungtaek Kim, Eunho Yang, Sung Ju Hwang, Yee Whye Teh:
Bootstrapping Neural Processes. CoRR abs/2008.02956 (2020) - [i26]Minki Kang, Moonsu Han, Sung Ju Hwang:
Neural Mask Generator: Learning to Generate Adaptive Word Maskings for Language Model Adaptation. CoRR abs/2010.02705 (2020) - [i25]Geondo Park, June Yong Yang, Sung Ju Hwang, Eunho Yang:
Attribution Preservation in Network Compression for Reliable Network Interpretation. CoRR abs/2010.15054 (2020) - [i24]Byunggill Joe, Jihun Hamm, Sung Ju Hwang, Sooel Son, Insik Shin:
Learning to Separate Clusters of Adversarial Representations for Robust Adversarial Detection. CoRR abs/2012.03483 (2020) - [i23]Seanie Lee, Dong Bok Lee, Sung Ju Hwang:
Contrastive Learning with Adversarial Perturbations for Conditional Text Generation. CoRR abs/2012.07280 (2020)
2010 – 2019
- 2019
- [c26]Moonsu Han, Minki Kang, Hyunwoo Jung, Sung Ju Hwang:
Episodic Memory Reader: Learning What to Remember for Question Answering from Streaming Data. ACL (1) 2019: 4407-4417 - [c25]Sangil Jung, Changyong Son, Seohyung Lee, JinWoo Son, Jae-Joon Han, Youngjun Kwak, Sung Ju Hwang, Changkyu Choi:
Learning to Quantize Deep Networks by Optimizing Quantization Intervals With Task Loss. CVPR 2019: 4350-4359 - [c24]Yanbin Liu, Juho Lee, Minseop Park, Saehoon Kim, Eunho Yang, Sung Ju Hwang, Yi Yang:
Learning to Propagate Labels: Transductive Propagation Network for Few-Shot Learning. ICLR (Poster) 2019 - [c23]Yunhun Jang, Hankook Lee, Sung Ju Hwang, Jinwoo Shin:
Learning What and Where to Transfer. ICML 2019: 3030-3039 - [i22]Jaehong Yoon, Saehoon Kim, Eunho Yang, Sung Ju Hwang:
ORACLE: Order Robust Adaptive Continual LEarning. CoRR abs/1902.09432 (2019) - [i21]Moonsu Han, Minki Kang, Hyunwoo Jung, Sung Ju Hwang:
Episodic Memory Reader: Learning What to Remember for Question Answering from Streaming Data. CoRR abs/1903.06164 (2019) - [i20]Yunhun Jang, Hankook Lee, Sung Ju Hwang, Jinwoo Shin:
Learning What and Where to Transfer. CoRR abs/1905.05901 (2019) - [i19]Haebeom Lee, Taewook Nam, Eunho Yang, Sung Ju Hwang:
Meta Dropout: Learning to Perturb Features for Generalization. CoRR abs/1905.12914 (2019) - [i18]Donghyun Na, Haebeom Lee, Saehoon Kim, Minseop Park, Eunho Yang, Sung Ju Hwang:
Learning to Balance: Bayesian Meta-Learning for Imbalanced and Out-of-distribution Tasks. CoRR abs/1905.12917 (2019) - [i17]Joonyoung Yi, Juhyuk Lee, Sung Ju Hwang, Eunho Yang:
Sparsity Normalization: Stabilizing the Expected Outputs of Deep Networks. CoRR abs/1906.00150 (2019) - [i16]Sungyub Kim, Yongsu Baek, Sung Ju Hwang, Eunho Yang:
Reliable Estimation of Individual Treatment Effect with Causal Information Bottleneck. CoRR abs/1906.03118 (2019) - [i15]Hayeon Lee, Donghyun Na, Haebeom Lee, Sung Ju Hwang:
Learning to Generalize to Unseen Tasks with Bilevel Optimization. CoRR abs/1908.01457 (2019) - [i14]Divyam Madaan, Sung Ju Hwang:
Adversarial Neural Pruning. CoRR abs/1908.04355 (2019) - [i13]Byunggill Joe, Sung Ju Hwang, Insik Shin:
Learning to Disentangle Robust and Vulnerable Features for Adversarial Detection. CoRR abs/1909.04311 (2019) - [i12]Hankook Lee, Sung Ju Hwang, Jinwoo Shin:
Rethinking Data Augmentation: Self-Supervision and Self-Distillation. CoRR abs/1910.05872 (2019) - 2018
- [c22]Jaehong Yoon, Eunho Yang, Jeongtae Lee, Sung Ju Hwang:
Lifelong Learning with Dynamically Expandable Networks. ICLR (Poster) 2018 - [c21]Haebeom Lee, Eunho Yang, Sung Ju Hwang:
Deep Asymmetric Multi-task Feature Learning. ICML 2018: 2962-2970 - [c20]Andries Bruno, Junhyeon Park, Sung Ju Hwang, Minwoo Kim:
Dynamic Detection-Tracking Switching. ICUFN 2018: 64-69 - [c19]Jay Heo, Haebeom Lee, Saehoon Kim, Juho Lee, Kwang Joon Kim, Eunho Yang, Sung Ju Hwang:
Uncertainty-Aware Attention for Reliable Interpretation and Prediction. NeurIPS 2018: 917-926 - [c18]Haebeom Lee, Juho Lee, Saehoon Kim, Eunho Yang, Sung Ju Hwang:
DropMax: Adaptive Variational Softmax. NeurIPS 2018: 927-937 - [c17]Hajin Shim, Sung Ju Hwang, Eunho Yang:
Joint Active Feature Acquisition and Classification with Variable-Size Set Encoding. NeurIPS 2018: 1375-1385 - [i11]Jay Heo, Haebeom Lee, Saehoon Kim, Juho Lee, Kwang Joon Kim, Eunho Yang, Sung Ju Hwang:
Uncertainty-Aware Attention for Reliable Interpretation and Prediction. CoRR abs/1805.09653 (2018) - [i10]Juho Lee, Saehoon Kim, Jaehong Yoon, Haebeom Lee, Eunho Yang, Sung Ju Hwang:
Adaptive Network Sparsification via Dependent Variational Beta-Bernoulli Dropout. CoRR abs/1805.10896 (2018) - [i9]Ingyo Chung, Saehoon Kim, Juho Lee, Sung Ju Hwang, Eunho Yang:
Mixed Effect Composite RNN-GP: A Personalized and Reliable Prediction Model for Healthcare. CoRR abs/1806.01551 (2018) - [i8]Hanze Dong, Yanwei Fu, Leonid Sigal, Sung Ju Hwang, Yu-Gang Jiang, Xiangyang Xue:
Learning to Separate Domains in Generalized Zero-Shot and Open Set Learning: a probabilistic perspective. CoRR abs/1810.07368 (2018) - [i7]Hyunwoo Jung, Moonsu Han, Minki Kang, Sung Ju Hwang:
Learning What to Remember: Long-term Episodic Memory Networks for Learning from Streaming Data. CoRR abs/1812.04227 (2018) - 2017
- [c16]Juyong Kim, Yookoon Park, Gunhee Kim, Sung Ju Hwang:
SplitNet: Learning to Semantically Split Deep Networks for Parameter Reduction and Model Parallelization. ICML 2017: 1866-1874 - [c15]Jaehong Yoon, Sung Ju Hwang:
Combined Group and Exclusive Sparsity for Deep Neural Networks. ICML 2017: 3958-3966 - [i6]Haebeom Lee, Eunho Yang, Sung Ju Hwang:
Deep Asymmetric Multi-task Feature Learning. CoRR abs/1708.00260 (2017) - [i5]Jeongtae Lee, Jaehong Yoon, Eunho Yang, Sung Ju Hwang:
Lifelong Learning with Dynamically Expandable Networks. CoRR abs/1708.01547 (2017) - [i4]Hajin Shim, Sung Ju Hwang, Eunho Yang:
Why Pay More When You Can Pay Less: A Joint Learning Framework for Active Feature Acquisition and Classification. CoRR abs/1709.05964 (2017) - [i3]Haebeom Lee, Juho Lee, Eunho Yang, Sung Ju Hwang:
DropMax: Adaptive Stochastic Softmax. CoRR abs/1712.07834 (2017) - 2016
- [c14]Jonghyun Choi, Sung Ju Hwang, Leonid Sigal, Larry S. Davis:
Knowledge Transfer with Interactive Learning of Semantic Relationships. AAAI 2016: 1505-1511 - [c13]Alina Kuznetsova, Sung Ju Hwang, Bodo Rosenhahn, Leonid Sigal:
Exploiting View-Specific Appearance Similarities Across Classes for Zero-Shot Pose Prediction: A Metric Learning Approach. AAAI 2016: 3523-3529 - [c12]Wonjoon Goo, Juyong Kim, Gunhee Kim, Sung Ju Hwang:
Taxonomy-Regularized Semantic Deep Convolutional Neural Networks. ECCV (2) 2016: 86-101 - [c11]Giwoong Lee, Eunho Yang, Sung Ju Hwang:
Asymmetric Multi-task Learning based on Task Relatedness and Confidence. ICML 2016: 230-238 - 2015
- [c10]Sung Ju Hwang, Leonid Sigal:
A Unified Semantic Embedding: Relating Taxonomies and Attributes. AAAI Spring Symposia 2015 - [c9]Alina Kuznetsova, Sung Ju Hwang, Bodo Rosenhahn, Leonid Sigal:
Expanding object detector's Horizon: Incremental learning framework for object detection in videos. CVPR 2015: 28-36 - [i2]Guang-Tong Zhou, Sung Ju Hwang, Mark Schmidt, Leonid Sigal, Greg Mori:
Hierarchical Maximum-Margin Clustering. CoRR abs/1502.01827 (2015) - 2014
- [c8]Sung Ju Hwang, Leonid Sigal:
A Unified Semantic Embedding: Relating Taxonomies and Attributes. NIPS 2014: 271-279 - [i1]Sung Ju Hwang, Leonid Sigal:
A Unified Semantic Embedding: Relating Taxonomies and Attributes. CoRR abs/1411.5879 (2014) - 2013
- [c7]Sung Ju Hwang, Kristen Grauman, Fei Sha:
Analogy-preserving Semantic Embedding for Visual Object Categorization. ICML (3) 2013: 639-647 - 2012
- [j2]Sung Ju Hwang, Kristen Grauman:
Learning the Relative Importance of Objects from Tagged Images for Retrieval and Cross-Modal Search. Int. J. Comput. Vis. 100(2): 134-153 (2012) - [j1]Sung Ju Hwang, Kristen Grauman:
Reading between the Lines: Object Localization Using Implicit Cues from Image Tags. IEEE Trans. Pattern Anal. Mach. Intell. 34(6): 1145-1158 (2012) - [c6]Sung Ju Hwang, Ashish Kapoor, Sing Bing Kang:
Context-Based Automatic Local Image Enhancement. ECCV (1) 2012: 569-582 - [c5]Sung Ju Hwang, Kristen Grauman, Fei Sha:
Semantic Kernel Forests from Multiple Taxonomies. NIPS 2012: 1727-1735 - 2011
- [c4]Sung Ju Hwang, Fei Sha, Kristen Grauman:
Sharing features between objects and their attributes. CVPR 2011: 1761-1768 - [c3]Sung Ju Hwang, Kristen Grauman, Fei Sha:
Learning a Tree of Metrics with Disjoint Visual Features. NIPS 2011: 621-629 - 2010
- [c2]Sung Ju Hwang, Kristen Grauman:
Accounting for the Relative Importance of Objects in Image Retrieval. BMVC 2010: 1-12 - [c1]Sung Ju Hwang, Kristen Grauman:
Reading between the lines: Object localization using implicit cues from image tags. CVPR 2010: 2971-2978
Coauthor Index
Jeffrey Willette
aka: Jeffrey Ryan Willette
aka: Jeffrey Ryan Willette
[j6] [c100] [i119] [j4] [c94] [c86] [c83] [c81] [c80] [c71] [c70] [c68] [c66] [c62] [c61] [c59] [c56] [c55] [c54] [i70] [i63] [i61] [i60] [i56] [i54] [i52] [i47] [c48] [c45] [c44] [c43] [c42] [c41] [c34] [c33] [c32] [c30] [c29] [c28] [i44] [i41] [i37] [i35] [i34] [i33] [i32] [i31] [i30] [i29] [i28] [i27] [i25] [c24] [i22] [i19] [i18] [i17] [i16] [c22] [c21] [c19] [c18] [c17] [i11] [i10] [i9] [i6] [i5] [i4] [i3] [c11]
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-11-19 20:45 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
