Nate Kushman - RankMe

34 papers A* 8A 1B 1Misc 2Journal 14Unranked 7

Year	Rank	Type	Title / Venue / Authors
2022	J	`jnl`	Competition-Level Code Generation with AlphaCode. CoRR Yujia Li, David H. Choi, Junyoung Chung, Nate Kushman, Julian Schrittwieser, Rémi Leblond, Tom Eccles, James Keeling, Felix Gimeno, Agustin Dal Lago, Thomas Hubert, Peter Choy, Cyprien de Masson d'Autume, Igor Babuschkin, Xinyun Chen, Po-Sen Huang, Johannes Welbl, Sven Gowal, Alexey Cherepanov, James Molloy, Daniel J. Mankowitz, Esme Sutherland Robson, Pushmeet Kohli, Nando de Freitas, Koray Kavukcuoglu, Oriol Vinyals
2022	J	`jnl`	Solving math word problems with process- and outcome-based feedback. CoRR Jonathan Uesato, Nate Kushman, Ramana Kumar, H. Francis Song, Noah Y. Siegel, Lisa Wang, Antonia Creswell, Geoffrey Irving, Irina Higgins
2020	J	`jnl`	Interpreting Spatially Infinite Generative Models. CoRR Chaochao Lu, Richard E. Turner, Yingzhen Li, Nate Kushman
2020	J	`jnl`	Inverse Graphics GAN: Learning to Generate 3D Shapes from Unstructured 2D Data. CoRR Sebastian Lunz, Yingzhen Li, Andrew W. Fitzgibbon, Nate Kushman
2020	A*	`conf`	Learning Robust Representations via Multi-View Information Bottleneck. ICLR Marco Federici, Anjan Dutta, Patrick Forré, Nate Kushman, Zeynep Akata
2020	J	`jnl`	Learning Robust Representations via Multi-View Information Bottleneck. CoRR Marco Federici, Anjan Dutta, Patrick Forré, Nate Kushman, Zeynep Akata
2019	A	`conf`	Inverting Supervised Representations with Autoregressive Neural Density Models. AISTATS Charlie Nash, Nate Kushman, Christopher K. I. Williams
2018	A*	`conf`	Constructing Unrestricted Adversarial Examples with Generative Models. NeurIPS Yang Song, Rui Shu, Nate Kushman, Stefano Ermon
2018	J	`jnl`	Generative Adversarial Examples. CoRR Yang Song, Rui Shu, Nate Kushman, Stefano Ermon
2018	J	`jnl`	Inverting Supervised Representations with Autoregressive Neural Density Models. CoRR Charlie Nash, Nate Kushman, Christopher K. I. Williams
2018	—	`conf`	PixelDefend: Leveraging Generative Models to Understand and Defend against Adversarial Examples. ICLR (Poster) Yang Song, Taesup Kim, Sebastian Nowozin, Stefano Ermon, Nate Kushman
2018	B	`conf`	Understanding the Rational Speech Act model. CogSci Arianna Yuan, Will Monroe, Yu Bai, Nate Kushman
2017	A*	`conf`	Differentiable Programs with Neural Libraries. ICML Alexander L. Gaunt, Marc Brockschmidt, Nate Kushman, Daniel Tarlow
2017	—	`conf`	Lifelong Perceptual Programming By Example. ICLR (Workshop) Alexander L. Gaunt, Marc Brockschmidt, Nate Kushman, Daniel Tarlow
2017	—	`conf`	Neural Program Lattices. ICLR (Poster) Chengtao Li, Daniel Tarlow, Alexander L. Gaunt, Marc Brockschmidt, Nate Kushman
2017	J	`jnl`	PixelDefend: Leveraging Generative Models to Understand and Defend against Adversarial Examples. CoRR Yang Song, Taesup Kim, Sebastian Nowozin, Stefano Ermon, Nate Kushman
2016	J	`jnl`	A Deep Learning Approach for Joint Video Frame and Reward Prediction in Atari Games. CoRR Felix Leibfried, Nate Kushman, Katja Hofmann
2016	J	`jnl`	Lifelong Perceptual Programming By Example. CoRR Alexander L. Gaunt, Marc Brockschmidt, Nate Kushman, Daniel Tarlow
2016	—	`conf`	MAWPS: A Math Word Problem Repository. HLT-NAACL Rik Koncel-Kedziorski, Subhro Roy, Aida Amini, Nate Kushman, Hannaneh Hajishirzi
2016	A*	`conf`	Neural Generation of Regular Expressions from Natural Language with Minimal Domain Knowledge. EMNLP Nicholas Locascio, Karthik Narasimhan, Eduardo DeLeon, Nate Kushman, Regina Barzilay
2016	J	`jnl`	Neural Generation of Regular Expressions from Natural Language with Minimal Domain Knowledge. CoRR Nicholas Locascio, Karthik Narasimhan, Eduardo DeLeon, Nate Kushman, Regina Barzilay
2016	J	`jnl`	Summary - TerpreT: A Probabilistic Programming Language for Program Induction. CoRR Alexander L. Gaunt, Marc Brockschmidt, Rishabh Singh, Nate Kushman, Pushmeet Kohli, Jonathan Taylor, Daniel Tarlow
2016	J	`jnl`	TerpreT: A Probabilistic Programming Language for Program Induction. CoRR Alexander L. Gaunt, Marc Brockschmidt, Rishabh Singh, Nate Kushman, Pushmeet Kohli, Jonathan Taylor, Daniel Tarlow
2015	—	`—`	Generating computer programs from natural language descriptions. Nate Kushman
2014	—	`conf`	Learning to Automatically Solve Algebra Word Problems. ACL (1) Nate Kushman, Luke Zettlemoyer, Regina Barzilay, Yoav Artzi
2014	A*	`conf`	Learning to Solve Arithmetic Word Problems with Verb Categorization. EMNLP Mohammad Javad Hosseini, Hannaneh Hajishirzi, Oren Etzioni, Nate Kushman
2013	—	`conf`	Using Semantic Unification to Generate Regular Expressions from Natural Language. HLT-NAACL Nate Kushman, Regina Barzilay
2012	—	`conf`	Learning High-Level Planning from Text. ACL (1) S. R. K. Branavan, Nate Kushman, Tao Lei, Regina Barzilay
2010	A*	`conf`	Enabling Configuration-Independent Automation by Non-Expert Users. OSDI Nate Kushman, Dina Katabi
2009	Misc	`conf`	WikiDo. HotNets Nate Kushman, Micah Z. Brodsky, S. R. K. Branavan, Dina Katabi, Regina Barzilay, Martin C. Rinard
2008	A*	`conf`	Learning to share: narrowband-friendly wideband networks. SIGCOMM Hariharan Rahul, Nate Kushman, Dina Katabi, Charles G. Sodini, Farinaz Edalat
2008	A*	`conf`	ZipTx: exploiting the gap between bit errors and packet loss. MobiCom Kate Ching-Ju Lin, Nate Kushman, Dina Katabi
2007	J	`jnl`	Can you hear me now?!: it must be BGP. Comput. Commun. Rev. Nate Kushman, Srikanth Kandula, Dina Katabi
2007	Misc	`conf`	R-BGP: Staying Connected in a Connected World. NSDI Nate Kushman, Srikanth Kandula, Dina Katabi, Bruce M. Maggs