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2020 – today
- 2024
[i9]Guoli Yin, Haoping Bai, Shuang Ma, Feng Nan, Yanchao Sun, Zhaoyang Xu, Shen Ma, Jiarui Lu, Xiang Kong, Aonan Zhang, Dian Ang Yap, Yizhe Zhang, Karsten Ahnert, Vik Kamath, Mathias Berglund, Dominic Walsh, Tobias Gindele, Juergen Wiest, Zhengfeng Lai, Xiaoming Wang, Jiulong Shan, Meng Cao, Ruoming Pang, Zirui Wang:
MMAU: A Holistic Benchmark of Agent Capabilities Across Diverse Domains. CoRR abs/2407.18961 (2024)- [i8]Tom Gunter, Zirui Wang, Chong Wang, Ruoming Pang, Andy Narayanan, Aonan Zhang, Bowen Zhang, Chen Chen, Chung-Cheng Chiu, David Qiu, Deepak Gopinath, Dian Ang Yap, Dong Yin, Feng Nan, Floris Weers, Guoli Yin, Haoshuo Huang, Jianyu Wang, Jiarui Lu, John Peebles, Ke Ye, Mark Lee, Nan Du, Qibin Chen, Quentin Keunebroek, Sam Wiseman, Syd Evans, Tao Lei, Vivek Rathod, Xiang Kong, Xianzhi Du, Yanghao Li, Yongqiang Wang, Yuan Gao, Zaid Ahmed, Zhaoyang Xu, Zhiyun Lu, Al Rashid, Albin Madappally Jose, Alec Doane, Alfredo Bencomo, Allison Vanderby, Andrew Hansen, Ankur Jain, Anupama Mann Anupama, Areeba Kamal, Bugu Wu, Carolina Brum, Charlie Maalouf, Chinguun Erdenebileg, Chris Dulhanty, Dominik Moritz, Doug Kang, Eduardo Jimenez, Evan Ladd, Fangping Shi, Felix Bai, Frank Chu, Fred Hohman, Hadas Kotek, Hannah Gillis Coleman, Jane Li, Jeffrey P. Bigham, Jeffery Cao, Jeff Lai, Jessica Cheung, Jiulong Shan, Joe Zhou, John Li, Jun Qin, Karanjeet Singh, Karla Vega, Kelvin Zou, Laura Heckman, Lauren Gardiner, Margit Bowler, Maria Cordell, Meng Cao, Nicole Hay, Nilesh Shahdadpuri, Otto Godwin, Pranay Dighe, Pushyami Rachapudi, Ramsey Tantawi, Roman Frigg, Sam Davarnia, Sanskruti Shah, Saptarshi Guha, Sasha Sirovica, Shen Ma, Shuang Ma, Simon Wang, Sulgi Kim, Suma Jayaram, Vaishaal Shankar, Varsha Paidi, Vivek Kumar, Xin Wang, Xin Zheng, Walker Cheng:
Apple Intelligence Foundation Language Models. CoRR abs/2407.21075 (2024) - 2023
- [i7]David Berthelot, Arnaud Autef, Jierui Lin, Dian Ang Yap, Shuangfei Zhai, Siyuan Hu, Daniel Zheng, Walter Talbott, Eric Gu:
TRACT: Denoising Diffusion Models with Transitive Closure Time-Distillation. CoRR abs/2303.04248 (2023) - 2020
- [i6]Josh Payne
, Mario Srouji, Dian Ang Yap, Vineet Kosaraju:
BERT Learns (and Teaches) Chemistry. CoRR abs/2007.16012 (2020)
2010 – 2019
- 2019
- [c1]Vinay Uday Prabhu, Sanghyun Han, Dian Ang Yap, Mihail Douhaniaris, Preethi Seshadri:
A Seed-Augment-Train Framework for Universal Digit Classification. DGS@ICLR 2019 - [i5]Vinay Uday Prabhu, Sanghyun Han, Dian Ang Yap, Mihail Douhaniaris, Preethi Seshadri, John Whaley:
Fonts-2-Handwriting: A Seed-Augment-Train framework for universal digit classification. CoRR abs/1905.08633 (2019) - [i4]Vinay Uday Prabhu, Dian Ang Yap, Joyce Xu, John Whaley:
Understanding Adversarial Robustness Through Loss Landscape Geometries. CoRR abs/1907.09061 (2019) - [i3]Vinay Uday Prabhu, Dian Ang Yap, Alexander Wang, John Whaley:
Covering up bias in CelebA-like datasets with Markov blankets: A post-hoc cure for attribute prior avoidance. CoRR abs/1907.12917 (2019) - [i2]Dian Ang Yap, Nicholas Roberts, Vinay Uday Prabhu:
Grassmannian Packings in Neural Networks: Learning with Maximal Subspace Packings for Diversity and Anti-Sparsity. CoRR abs/1911.07418 (2019) - [i1]Nicholas Roberts, Dian Ang Yap, Vinay Uday Prabhu:
Deep Connectomics Networks: Neural Network Architectures Inspired by Neuronal Networks. CoRR abs/1912.08986 (2019)
Coauthor Index
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