Edward J. Hu - RankMe

16 papers A* 8Journal 8

Year	Rank	Type	Title / Venue / Authors
2024	A*	`conf`	Amortizing intractable inference in large language models. ICLR Edward J. Hu, Moksh Jain, Eric Elmoznino, Younesse Kaddar, Guillaume Lajoie, Yoshua Bengio, Nikolay Malkin
2023	J	`jnl`	Amortizing intractable inference in large language models. CoRR Edward J. Hu, Moksh Jain, Eric Elmoznino, Younesse Kaddar, Guillaume Lajoie, Yoshua Bengio, Nikolay Malkin
2023	A*	`conf`	Differentiable Tree Operations Promote Compositional Generalization. ICML Paul Soulos, Edward J. Hu, Kate McCurdy, Yunmo Chen, Roland Fernandez, Paul Smolensky, Jianfeng Gao
2023	J	`jnl`	Differentiable Tree Operations Promote Compositional Generalization. CoRR Paul Soulos, Edward J. Hu, Kate McCurdy, Yunmo Chen, Roland Fernandez, Paul Smolensky, Jianfeng Gao
2023	J	`jnl`	GFlowNet Foundations. J. Mach. Learn. Res. Yoshua Bengio, Salem Lahlou, Tristan Deleu, Edward J. Hu, Mo Tiwari, Emmanuel Bengio
2023	A*	`conf`	GFlowNet-EM for Learning Compositional Latent Variable Models. ICML Edward J. Hu, Nikolay Malkin, Moksh Jain, Katie E. Everett, Alexandros Graikos, Yoshua Bengio
2023	J	`jnl`	GFlowNet-EM for learning compositional latent variable models. CoRR Edward J. Hu, Nikolay Malkin, Moksh Jain, Katie Everett, Alexandros Graikos, Yoshua Bengio
2023	A*	`conf`	GFlowNets and variational inference. ICLR Nikolay Malkin, Salem Lahlou, Tristan Deleu, Xu Ji, Edward J. Hu, Katie Everett, Dinghuai Zhang, Yoshua Bengio
2022	A*	`conf`	Efficient Computation of Deep Nonlinear Infinite-Width Neural Networks that Learn Features. ICLR Greg Yang, Michael Santacroce, Edward J. Hu
2022	J	`jnl`	GFlowNets and variational inference. CoRR Nikolay Malkin, Salem Lahlou, Tristan Deleu, Xu Ji, Edward J. Hu, Katie Everett, Dinghuai Zhang, Yoshua Bengio
2022	A*	`conf`	LoRA: Low-Rank Adaptation of Large Language Models. ICLR Edward J. Hu, Yelong Shen, Phillip Wallis, Zeyuan Allen-Zhu, Yuanzhi Li, Shean Wang, Lu Wang, Weizhu Chen
2022	J	`jnl`	Tensor Programs V: Tuning Large Neural Networks via Zero-Shot Hyperparameter Transfer. CoRR Greg Yang, Edward J. Hu, Igor Babuschkin, Szymon Sidor, Xiaodong Liu, David Farhi, Nick Ryder, Jakub Pachocki, Weizhu Chen, Jianfeng Gao
2021	J	`jnl`	GFlowNet Foundations. CoRR Yoshua Bengio, Tristan Deleu, Edward J. Hu, Salem Lahlou, Mo Tiwari, Emmanuel Bengio
2021	J	`jnl`	LoRA: Low-Rank Adaptation of Large Language Models. CoRR Edward J. Hu, Yelong Shen, Phillip Wallis, Zeyuan Allen-Zhu, Yuanzhi Li, Shean Wang, Weizhu Chen
2021	A*	`conf`	Tensor Programs IV: Feature Learning in Infinite-Width Neural Networks. ICML Greg Yang, Edward J. Hu
2021	A*	`conf`	Tuning Large Neural Networks via Zero-Shot Hyperparameter Transfer. NeurIPS Ge Yang, Edward J. Hu, Igor Babuschkin, Szymon Sidor, Xiaodong Liu, David Farhi, Nick Ryder, Jakub Pachocki, Weizhu Chen, Jianfeng Gao