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2020 – today
- 2024
[c22]Shreyas Havaldar, Jatin Chauhan, Karthikeyan Shanmugam, Jay Nandy, Aravindan Raghuveer:
Fairness under Covariate Shift: Improving Fairness-Accuracy Tradeoff with Few Unlabeled Test Samples. AAAI 2024: 12331-12339- [c21]Sneha Mondal, Ritika, Ashish Agrawal, Preethi Jyothi, Aravindan Raghuveer:
DIMSIM: Distilled Multilingual Critics for Indic Text Simplification. ACL (Findings) 2024: 16093-16109 - [c20]Anand Brahmbhatt, Mohith Pokala, Rishi Saket, Aravindan Raghuveer:
LLP-Bench: A Large Scale Tabular Benchmark for Learning from Label Proportions. CIKM 2024: 4374-4381 - [c19]Shreyas Havaldar, Navodita Sharma, Shubhi Sareen, Karthikeyan Shanmugam, Aravindan Raghuveer:
Learning from Label Proportions: Bootstrapping Supervised Learners via Belief Propagation. ICLR 2024 - [i11]Yukti Makhija, Priyanka Agrawal, Rishi Saket, Aravindan Raghuveer:
FRACTAL: Fine-Grained Scoring from Aggregate Text Labels. CoRR abs/2404.04817 (2024) - 2023
- [c18]Abhirut Gupta, Ananya B. Sai, Richard Sproat, Yuri Vasilevski, James S. Ren, Ambarish Jash, Sukhdeep S. Sodhi, Aravindan Raghuveer:
Bi-Phone: Modeling Inter Language Phonetic Influences in Text. ACL (1) 2023: 2580-2592 - [c17]Jay Nandy
, Jatin Chauhan, Rishi Saket, Aravindan Raghuveer:
Non-Uniform Adversarial Perturbations for Discrete Tabular Datasets. CIKM 2023: 1887-1896 - [c16]Deepanway Ghosal, Preksha Nema, Aravindan Raghuveer:
ReTAG: Reasoning Aware Table to Analytic Text Generation. EMNLP 2023: 6310-6324 - [c15]Anand Brahmbhatt, Rishi Saket, Aravindan Raghuveer:
PAC Learning Linear Thresholds from Label Proportions. NeurIPS 2023 - [i10]Deepanway Ghosal, Preksha Nema, Aravindan Raghuveer:
STOAT: Structured Data to Analytical Text With Controls. CoRR abs/2305.11826 (2023) - [i9]Abhirut Gupta, Ananya B. Sai, Richard Sproat, Yuri Vasilevski, James S. Ren, Ambarish Jash, Sukhdeep S. Sodhi, Aravindan Raghuveer:
BiPhone: Modeling Inter Language Phonetic Influences in Text. CoRR abs/2307.03322 (2023) - [i8]Shreyas Havaldar, Jatin Chauhan, Karthikeyan Shanmugam, Jay Nandy, Aravindan Raghuveer:
Improving Fairness-Accuracy tradeoff with few Test Samples under Covariate Shift. CoRR abs/2310.07535 (2023) - [i7]Shreyas Havaldar, Navodita Sharma, Shubhi Sareen, Karthikeyan Shanmugam, Aravindan Raghuveer:
Learning from Label Proportions: Bootstrapping Supervised Learners via Belief Propagation. CoRR abs/2310.08056 (2023) - [i6]Anand Brahmbhatt, Rishi Saket, Shreyas Havaldar, Anshul Nasery, Aravindan Raghuveer:
Label Differential Privacy via Aggregation. CoRR abs/2310.10092 (2023) - [i5]Anand Brahmbhatt, Mohith Pokala, Rishi Saket, Aravindan Raghuveer:
LLP-Bench: A Large Scale Tabular Benchmark for Learning from Label Proportions. CoRR abs/2310.10096 (2023) - [i4]Anand Brahmbhatt, Rishi Saket, Aravindan Raghuveer:
PAC Learning Linear Thresholds from Label Proportions. CoRR abs/2310.10098 (2023) - 2022
- [c14]Rishi Saket, Aravindan Raghuveer, Balaraman Ravindran:
On Combining Bags to Better Learn from Label Proportions. AISTATS 2022: 5913-5927 - [c13]Jay Nandy, Rishi Saket, Prateek Jain, Jatin Chauhan, Balaraman Ravindran, Aravindan Raghuveer:
Domain-Agnostic Contrastive Representations for Learning from Label Proportions. CIKM 2022: 1542-1551 - [c12]Sneha Mondal, Ritika, Shreya Pathak, Preethi Jyothi, Aravindan Raghuveer:
CoCoa: An Encoder-Decoder Model for Controllable Code-switched Generation. EMNLP 2022: 2466-2479 - [c11]Anubhav Jangra, Preksha Nema, Aravindan Raghuveer:
T-STAR: Truthful Style Transfer using AMR Graph as Intermediate Representation. EMNLP 2022: 8805-8825 - [c10]Jatin Chauhan, Aravindan Raghuveer, Rishi Saket, Jay Nandy, Balaraman Ravindran:
Multi-Variate Time Series Forecasting on Variable Subsets. KDD 2022: 76-86 - [c9]Madhurima Vardhan, Narayan Hegde, Srujana Merugu, Shantanu Prabhat, Deepak Nathani, Martin Seneviratne, Nur Muhammad, Pranay Reddy, Sriram Lakshminarasimhan, Rahul Singh, Karina Lorenzana, Eshan Motwani, Partha Talukdar, Aravindan Raghuveer:
Walking with PACE - Personalized and Automated Coaching Engine. UMAP 2022: 57-68 - [i3]Jatin Chauhan, Aravindan Raghuveer, Rishi Saket, Jay Nandy, Balaraman Ravindran:
Multi-Variate Time Series Forecasting on Variable Subsets. CoRR abs/2206.12626 (2022) - [i2]Anubhav Jangra, Preksha Nema, Aravindan Raghuveer:
T-STAR: Truthful Style Transfer using AMR Graph as Intermediate Representation. CoRR abs/2212.01667 (2022) - 2021
- [c8]Sahana Ramnath, Melvin Johnson, Abhirut Gupta, Aravindan Raghuveer:
HintedBT: Augmenting Back-Translation with Quality and Transliteration Hints. EMNLP (1) 2021: 1717-1733 - [i1]Sahana Ramnath, Melvin Johnson, Abhirut Gupta, Aravindan Raghuveer:
HintedBT: Augmenting Back-Translation with Quality and Transliteration Hints. CoRR abs/2109.04443 (2021)
2010 – 2019
- 2018
- [c7]Djordje Gligorijevic, Jelena Gligorijevic, Aravindan Raghuveer, Mihajlo Grbovic, Zoran Obradovic:
Modeling Mobile User Actions for Purchase Recommendation using Deep Memory Networks. SIGIR 2018: 1021-1024 - 2011
- [c6]Aravindan Raghuveer:
Automated Content Labeling using Context in Email. COMAD 2011: 23-34 - [c5]Aravindan Raghuveer:
WOOster: A Map-Reduce based Platform for Graph Mining. COMAD 2011: 105-113 - 2010
- [j2]Aravindan Raghuveer, Yingfei Dong, David Hung-Chang Du:
StatStream: providing statistical reliability guarantees in peer-to-peer live video streaming. Int. J. Adv. Media Commun. 4(1): 4-30 (2010)
2000 – 2009
- 2007
- [j1]Aravindan Raghuveer, Ewa Kusmierek, David Hung-Chang Du:
A Network-Aware Approach for Video and Metadata Streaming. IEEE Trans. Circuits Syst. Video Technol. 17(8): 1028-1040 (2007) - [c4]Aravindan Raghuveer, Meera Jindal, Mohamed F. Mokbel, Biplob K. Debnath, David Hung-Chang Du:
Towards efficient search on unstructured data: an intelligent-storage approach. CIKM 2007: 951-954 - [c3]Aravindan Raghuveer, Steven W. Schlosser, Sami Iren:
Enabling database-aware storage with OSD. MSST 2007: 129-142 - 2005
- [c2]Aravindan Raghuveer, Nam Oh Kang, David H. C. Du:
Techniques for efficient stream of layered video in heterogeneous client environments. GLOBECOM 2005: 6 - 2004
- [c1]Aravindan Raghuveer, Ewa Kusmierek, David Hung-Chang Du:
Network-aware rate adaptation for video streaming. ICME 2004: 1039-1042
Coauthor Index
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