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Drew A. Hudson
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2020 – today
- 2023
- [i9]Drew A. Hudson, Daniel Zoran, Mateusz Malinowski, Andrew K. Lampinen, Andrew Jaegle, James L. McClelland, Loic Matthey, Felix Hill, Alexander Lerchner:
SODA: Bottleneck Diffusion Models for Representation Learning. CoRR abs/2311.17901 (2023) - 2022
- [i8]Percy Liang, Rishi Bommasani, Tony Lee, Dimitris Tsipras, Dilara Soylu, Michihiro Yasunaga, Yian Zhang, Deepak Narayanan, Yuhuai Wu, Ananya Kumar, Benjamin Newman, Binhang Yuan, Bobby Yan, Ce Zhang, Christian Cosgrove, Christopher D. Manning, Christopher Ré, Diana Acosta-Navas, Drew A. Hudson, Eric Zelikman, Esin Durmus, Faisal Ladhak, Frieda Rong, Hongyu Ren, Huaxiu Yao, Jue Wang, Keshav Santhanam, Laurel J. Orr, Lucia Zheng, Mert Yüksekgönül, Mirac Suzgun, Nathan Kim, Neel Guha, Niladri S. Chatterji, Omar Khattab, Peter Henderson, Qian Huang, Ryan Chi, Sang Michael Xie, Shibani Santurkar, Surya Ganguli, Tatsunori Hashimoto, Thomas Icard, Tianyi Zhang, Vishrav Chaudhary, William Wang, Xuechen Li, Yifan Mai, Yuhui Zhang, Yuta Koreeda:
Holistic Evaluation of Language Models. CoRR abs/2211.09110 (2022) - 2021
- [c5]Drew A. Hudson, Larry Zitnick:
Generative Adversarial Transformers. ICML 2021: 4487-4499 - [i7]Drew A. Hudson, C. Lawrence Zitnick:
Generative Adversarial Transformers. CoRR abs/2103.01209 (2021) - [i6]Rishi Bommasani, Drew A. Hudson, Ehsan Adeli, Russ B. Altman, Simran Arora, Sydney von Arx, Michael S. Bernstein, Jeannette Bohg, Antoine Bosselut, Emma Brunskill, Erik Brynjolfsson, Shyamal Buch, Dallas Card, Rodrigo Castellon, Niladri S. Chatterji, Annie S. Chen, Kathleen Creel, Jared Quincy Davis, Dorottya Demszky, Chris Donahue, Moussa Doumbouya, Esin Durmus, Stefano Ermon, John Etchemendy, Kawin Ethayarajh, Li Fei-Fei, Chelsea Finn, Trevor Gale, Lauren Gillespie, Karan Goel, Noah D. Goodman, Shelby Grossman, Neel Guha, Tatsunori Hashimoto, Peter Henderson, John Hewitt, Daniel E. Ho, Jenny Hong, Kyle Hsu, Jing Huang, Thomas Icard, Saahil Jain, Dan Jurafsky, Pratyusha Kalluri, Siddharth Karamcheti, Geoff Keeling, Fereshte Khani, Omar Khattab, Pang Wei Koh, Mark S. Krass, Ranjay Krishna, Rohith Kuditipudi, et al.:
On the Opportunities and Risks of Foundation Models. CoRR abs/2108.07258 (2021) - [i5]Drew A. Hudson, C. Lawrence Zitnick:
Compositional Transformers for Scene Generation. CoRR abs/2111.08960 (2021) - 2020
- [c4]Haejun Lee, Drew A. Hudson, Kangwook Lee, Christopher D. Manning:
SLM: Learning a Discourse Language Representation with Sentence Unshuffling. EMNLP (1) 2020: 1551-1562 - [i4]Haejun Lee, Drew A. Hudson, Kangwook Lee, Christopher D. Manning:
SLM: Learning a Discourse Language Representation with Sentence Unshuffling. CoRR abs/2010.16249 (2020)
2010 – 2019
- 2019
- [c3]Drew A. Hudson, Christopher D. Manning:
GQA: A New Dataset for Real-World Visual Reasoning and Compositional Question Answering. CVPR 2019: 6700-6709 - [c2]Drew A. Hudson, Christopher D. Manning:
Learning by Abstraction: The Neural State Machine. NeurIPS 2019: 5901-5914 - [i3]Drew A. Hudson, Christopher D. Manning:
GQA: a new dataset for compositional question answering over real-world images. CoRR abs/1902.09506 (2019) - [i2]Drew A. Hudson, Christopher D. Manning:
Learning by Abstraction: The Neural State Machine. CoRR abs/1907.03950 (2019) - 2018
- [c1]Drew A. Hudson, Christopher D. Manning:
Compositional Attention Networks for Machine Reasoning. ICLR (Poster) 2018 - [i1]Drew A. Hudson, Christopher D. Manning:
Compositional Attention Networks for Machine Reasoning. CoRR abs/1803.03067 (2018)
Coauthor Index
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