David Bieber - RankMe

21 papers A* 7A 1Journal 12Unranked 1

Year	Rank	Type	Title / Venue / Authors
2023	A*	`conf`	Can Large Language Models Reason about Program Invariants? ICML Kexin Pei, David Bieber, Kensen Shi, Charles Sutton, Pengcheng Yin
2023	A*	`conf`	Static Prediction of Runtime Errors by Learning to Execute Programs with External Resource Descriptions. ICLR David Bieber, Rishab Goel, Daniel Zheng, Hugo Larochelle, Daniel Tarlow
2022	J	`jnl`	A Library for Representing Python Programs as Graphs for Machine Learning. CoRR David Bieber, Kensen Shi, Petros Maniatis, Charles Sutton, Vincent J. Hellendoorn, Daniel D. Johnson, Daniel Tarlow
2022	J	`jnl`	Language Model Cascades. CoRR David Dohan, Winnie Xu, Aitor Lewkowycz, Jacob Austin, David Bieber, Raphael Gontijo Lopes, Yuhuai Wu, Henryk Michalewski, Rif A. Saurous, Jascha Sohl-Dickstein, Kevin Murphy, Charles Sutton
2022	J	`jnl`	Static Prediction of Runtime Errors by Learning to Execute Programs with External Resource Descriptions. CoRR David Bieber, Rishab Goel, Daniel Zheng, Hugo Larochelle, Daniel Tarlow
2022	J	`jnl`	TF-Coder: Program Synthesis for Tensor Manipulations. ACM Trans. Program. Lang. Syst. Kensen Shi, David Bieber, Rishabh Singh
2021	A*	`conf`	BUSTLE: Bottom-Up Program Synthesis Through Learning-Guided Exploration. ICLR Augustus Odena, Kensen Shi, David Bieber, Rishabh Singh, Charles Sutton, Hanjun Dai
2021	A*	`conf`	Learning Semantic Representations to Verify Hardware Designs. NeurIPS Shobha Vasudevan, Wenjie Jiang, David Bieber, Rishabh Singh, Hamid Shojaei, Richard Ho, Charles Sutton
2021	J	`jnl`	Show Your Work: Scratchpads for Intermediate Computation with Language Models. CoRR Maxwell I. Nye, Anders Johan Andreassen, Guy Gur-Ari, Henryk Michalewski, Jacob Austin, David Bieber, David Dohan, Aitor Lewkowycz, Maarten Bosma, David Luan, Charles Sutton, Augustus Odena
2020	J	`jnl`	BUSTLE: Bottom-up program-Synthesis Through Learning-guided Exploration. CoRR Augustus Odena, Kensen Shi, David Bieber, Rishabh Singh, Charles Sutton
2020	A*	`conf`	Global Relational Models of Source Code. ICLR Vincent J. Hellendoorn, Charles Sutton, Rishabh Singh, Petros Maniatis, David Bieber
2020	A*	`conf`	Incremental Sampling Without Replacement for Sequence Models. ICML Kensen Shi, David Bieber, Charles Sutton
2020	J	`jnl`	Incremental Sampling Without Replacement for Sequence Models. CoRR Kensen Shi, David Bieber, Charles Sutton
2020	A*	`conf`	Learning to Execute Programs with Instruction Pointer Attention Graph Neural Networks. NeurIPS David Bieber, Charles Sutton, Hugo Larochelle, Daniel Tarlow
2020	J	`jnl`	Learning to Execute Programs with Instruction Pointer Attention Graph Neural Networks. CoRR David Bieber, Charles Sutton, Hugo Larochelle, Daniel Tarlow
2020	J	`jnl`	TF-Coder: Program Synthesis for Tensor Manipulations. CoRR Kensen Shi, David Bieber, Rishabh Singh
2019	J	`jnl`	Neural Networks for Modeling Source Code Edits. CoRR Rui Zhao, David Bieber, Kevin Swersky, Daniel Tarlow
2019	—	`conf`	Neural Program Repair by Jointly Learning to Localize and Repair. ICLR (Poster) Marko Vasic, Aditya Kanade, Petros Maniatis, David Bieber, Rishabh Singh
2019	J	`jnl`	Neural Program Repair by Jointly Learning to Localize and Repair. CoRR Marko Vasic, Aditya Kanade, Petros Maniatis, David Bieber, Rishabh Singh
2017	A	`conf`	PixColor: Pixel Recursive Colorization. BMVC Sergio Guadarrama, Ryan Dahl, David Bieber, Jonathon Shlens, Mohammad Norouzi, Kevin Murphy
2017	J	`jnl`	PixColor: Pixel Recursive Colorization. CoRR Sergio Guadarrama, Ryan Dahl, David Bieber, Mohammad Norouzi, Jonathon Shlens, Kevin Murphy