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ORCIDEdward J. Hu
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2020 – today
- 2024
[c15]Edward J. Hu, Moksh Jain, Eric Elmoznino, Younesse Kaddar, Guillaume Lajoie, Yoshua Bengio, Nikolay Malkin:
Amortizing intractable inference in large language models. ICLR 2024- 2023
- [j2]Yoshua Bengio, Salem Lahlou, Tristan Deleu, Edward J. Hu, Mo Tiwari, Emmanuel Bengio:
GFlowNet Foundations. J. Mach. Learn. Res. 24: 210:1-210:55 (2023) - [c14]Nikolay Malkin, Salem Lahlou, Tristan Deleu, Xu Ji, Edward J. Hu, Katie Everett, Dinghuai Zhang, Yoshua Bengio:
GFlowNets and variational inference. ICLR 2023 - [c13]Edward J. Hu, Nikolay Malkin, Moksh Jain, Katie E. Everett, Alexandros Graikos, Yoshua Bengio:
GFlowNet-EM for Learning Compositional Latent Variable Models. ICML 2023: 13528-13549 - [c12]Paul Soulos, Edward J. Hu, Kate McCurdy, Yunmo Chen, Roland Fernandez, Paul Smolensky, Jianfeng Gao:
Differentiable Tree Operations Promote Compositional Generalization. ICML 2023: 32499-32520 - [i15]Edward J. Hu, Nikolay Malkin, Moksh Jain, Katie Everett, Alexandros Graikos, Yoshua Bengio:
GFlowNet-EM for learning compositional latent variable models. CoRR abs/2302.06576 (2023) - [i14]Paul Soulos, Edward J. Hu, Kate McCurdy, Yunmo Chen, Roland Fernandez, Paul Smolensky, Jianfeng Gao:
Differentiable Tree Operations Promote Compositional Generalization. CoRR abs/2306.00751 (2023) - [i13]Edward J. Hu, Moksh Jain, Eric Elmoznino, Younesse Kaddar, Guillaume Lajoie, Yoshua Bengio, Nikolay Malkin:
Amortizing intractable inference in large language models. CoRR abs/2310.04363 (2023) - 2022
- [c11]Edward J. Hu, Yelong Shen, Phillip Wallis, Zeyuan Allen-Zhu, Yuanzhi Li, Shean Wang, Lu Wang, Weizhu Chen:
LoRA: Low-Rank Adaptation of Large Language Models. ICLR 2022 - [c10]Greg Yang, Michael Santacroce, Edward J. Hu:
Efficient Computation of Deep Nonlinear Infinite-Width Neural Networks that Learn Features. ICLR 2022 - [i12]Greg Yang, Edward J. Hu, Igor Babuschkin, Szymon Sidor, Xiaodong Liu, David Farhi, Nick Ryder, Jakub Pachocki, Weizhu Chen, Jianfeng Gao:
Tensor Programs V: Tuning Large Neural Networks via Zero-Shot Hyperparameter Transfer. CoRR abs/2203.03466 (2022) - [i11]Nikolay Malkin, Salem Lahlou
, Tristan Deleu, Xu Ji, Edward J. Hu, Katie Everett, Dinghuai Zhang, Yoshua Bengio:
GFlowNets and variational inference. CoRR abs/2210.00580 (2022) - 2021
- [j1]Ryan Culkin, J. Edward Hu, Elias Stengel-Eskin, Guanghui Qin, Benjamin Van Durme:
Iterative Paraphrastic Augmentation with Discriminative Span Alignment. Trans. Assoc. Comput. Linguistics 9: 494-509 (2021) - [c9]Greg Yang, Edward J. Hu:
Tensor Programs IV: Feature Learning in Infinite-Width Neural Networks. ICML 2021: 11727-11737 - [c8]Ge Yang, Edward J. Hu, Igor Babuschkin, Szymon Sidor, Xiaodong Liu, David Farhi, Nick Ryder, Jakub Pachocki, Weizhu Chen, Jianfeng Gao:
Tuning Large Neural Networks via Zero-Shot Hyperparameter Transfer. NeurIPS 2021: 17084-17097 - [i10]Edward J. Hu, Yelong Shen, Phillip Wallis, Zeyuan Allen-Zhu, Yuanzhi Li, Shean Wang, Weizhu Chen:
LoRA: Low-Rank Adaptation of Large Language Models. CoRR abs/2106.09685 (2021) - [i9]Zhongyang Li, Xiao Ding, Ting Liu, J. Edward Hu, Benjamin Van Durme:
Guided Generation of Cause and Effect. CoRR abs/2107.09846 (2021) - [i8]Yoshua Bengio, Tristan Deleu, Edward J. Hu, Salem Lahlou, Mo Tiwari, Emmanuel Bengio:
GFlowNet Foundations. CoRR abs/2111.09266 (2021) - 2020
- [c7]Greg Yang, Tony Duan, J. Edward Hu, Hadi Salman, Ilya P. Razenshteyn, Jerry Li:
Randomized Smoothing of All Shapes and Sizes. ICML 2020: 10693-10705 - [c6]Zhongyang Li, Xiao Ding, Ting Liu, J. Edward Hu, Benjamin Van Durme:
Guided Generation of Cause and Effect. IJCAI 2020: 3629-3636 - [i7]Greg Yang, Tony Duan, J. Edward Hu, Hadi Salman, Ilya P. Razenshteyn, Jerry Li:
Randomized Smoothing of All Shapes and Sizes. CoRR abs/2002.08118 (2020) - [i6]J. Edward Hu, Adith Swaminathan, Hadi Salman, Greg Yang:
Improved Image Wasserstein Attacks and Defenses. CoRR abs/2004.12478 (2020) - [i5]Ryan Culkin, J. Edward Hu, Elias Stengel-Eskin, Guanghui Qin, Benjamin Van Durme:
Iterative Paraphrastic Augmentation with Discriminative Span Alignment. CoRR abs/2007.00320 (2020) - [i4]Greg Yang, J. Edward Hu:
Feature Learning in Infinite-Width Neural Networks. CoRR abs/2011.14522 (2020)
2010 – 2019
- 2019
- [c5]J. Edward Hu, Rachel Rudinger, Matt Post, Benjamin Van Durme:
PARABANK: Monolingual Bitext Generation and Sentential Paraphrasing via Lexically-Constrained Neural Machine Translation. AAAI 2019: 6521-6528 - [c4]J. Edward Hu, Abhinav Singh, Nils Holzenberger, Matt Post, Benjamin Van Durme:
Large-Scale, Diverse, Paraphrastic Bitexts via Sampling and Clustering. CoNLL 2019: 44-54 - [c3]J. Edward Hu, Huda Khayrallah, Ryan Culkin, Patrick Xia, Tongfei Chen, Matt Post, Benjamin Van Durme:
Improved Lexically Constrained Decoding for Translation and Monolingual Rewriting. NAACL-HLT (1) 2019: 839-850 - [i3]Yunmo Chen, Seth Ebner, Tongfei Chen, Patrick Xia, Elias Stengel-Eskin, Tzu-Ray Su, J. Edward Hu, Nils Holzenberger, Ryan Culkin, Craig Harman, Max Thomas, Thomas Lippincott, Aaron Steven White, Kyle Rawlins, Benjamin Van Durme:
NIST TAC SM-KBP 2019 System Description: JHU/UR Framework. TAC 2019 - [i2]J. Edward Hu, Rachel Rudinger, Matt Post, Benjamin Van Durme:
ParaBank: Monolingual Bitext Generation and Sentential Paraphrasing via Lexically-constrained Neural Machine Translation. CoRR abs/1901.03644 (2019) - 2018
- [c2]Adam Poliak, Aparajita Haldar, Rachel Rudinger, J. Edward Hu, Ellie Pavlick, Aaron Steven White, Benjamin Van Durme:
Collecting Diverse Natural Language Inference Problems for Sentence Representation Evaluation. EMNLP 2018: 67-81 - [c1]Adam Poliak, Aparajita Haldar, Rachel Rudinger, J. Edward Hu, Ellie Pavlick, Aaron Steven White, Benjamin Van Durme:
Collecting Diverse Natural Language Inference Problems for Sentence Representation Evaluation. BlackboxNLP@EMNLP 2018: 337-340 - [i1]Adam Poliak, Aparajita Haldar, Rachel Rudinger, J. Edward Hu, Ellie Pavlick, Aaron Steven White, Benjamin Van Durme:
Towards a Unified Natural Language Inference Framework to Evaluate Sentence Representations. CoRR abs/1804.08207 (2018)
Coauthor Index
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