Harm de Vries - RankMe

48 papers A* 5A 2B 2Journal 31Unranked 8

Year	Rank	Type	Title / Venue / Authors
2024	J	`jnl`	Astraios: Parameter-Efficient Instruction Tuning Code Large Language Models. CoRR Terry Yue Zhuo, Armel Zebaze, Nitchakarn Suppattarachai, Leandro von Werra, Harm de Vries, Qian Liu, Niklas Muennighoff
2024	J	`jnl`	BigCodeBench: Benchmarking Code Generation with Diverse Function Calls and Complex Instructions. CoRR Terry Yue Zhuo, Minh Chien Vu, Jenny Chim, Han Hu, Wenhao Yu, Ratnadira Widyasari, Imam Nur Bani Yusuf, Haolan Zhan, Junda He, Indraneil Paul, Simon Brunner, Chen Gong, Thong Hoang, Armel Randy Zebaze, Xiaoheng Hong, Wen-Ding Li, Jean Kaddour, Ming Xu, Zhihan Zhang, Prateek Yadav, Naman Jain, Alex Gu, Zhoujun Cheng, Jiawei Liu, Qian Liu, Zijian Wang, David Lo, Binyuan Hui, Niklas Muennighoff, Daniel Fried, Xiaoning Du, Harm de Vries, Leandro von Werra
2024	A*	`conf`	SelfCodeAlign: Self-Alignment for Code Generation. NeurIPS Yuxiang Wei, Federico Cassano, Jiawei Liu, Yifeng Ding, Naman Jain, Zachary Mueller, Harm de Vries, Leandro von Werra, Arjun Guha, Lingming Zhang
2024	J	`jnl`	SelfCodeAlign: Self-Alignment for Code Generation. CoRR Yuxiang Wei, Federico Cassano, Jiawei Liu, Yifeng Ding, Naman Jain, Zachary Mueller, Harm de Vries, Leandro von Werra, Arjun Guha, Lingming Zhang
2023	J	`jnl`	RepoFusion: Training Code Models to Understand Your Repository. CoRR Disha Shrivastava, Denis Kocetkov, Harm de Vries, Dzmitry Bahdanau, Torsten Scholak
2023	J	`jnl`	SantaCoder: don't reach for the stars! CoRR Loubna Ben Allal, Raymond Li, Denis Kocetkov, Chenghao Mou, Christopher Akiki, Carlos Muñoz Ferrandis, Niklas Muennighoff, Mayank Mishra, Alex Gu, Manan Dey, Logesh Kumar Umapathi, Carolyn Jane Anderson, Yangtian Zi, Joel Lamy-Poirier, Hailey Schoelkopf, Sergey Troshin, Dmitry Abulkhanov, Manuel Romero, Michael Lappert, Francesco De Toni, Bernardo García del Río, Qian Liu, Shamik Bose, Urvashi Bhattacharyya, Terry Yue Zhuo, Ian Yu, Paulo Villegas, Marco Zocca, Sourab Mangrulkar, David Lansky, Huu Nguyen, Danish Contractor, Luis Villa, Jia Li, Dzmitry Bahdanau, Yacine Jernite, Sean Hughes, Daniel Fried, Arjun Guha, Harm de Vries, Leandro von Werra
2023	J	`jnl`	StarCoder: may the source be with you! CoRR Raymond Li, Loubna Ben Allal, Yangtian Zi, Niklas Muennighoff, Denis Kocetkov, Chenghao Mou, Marc Marone, Christopher Akiki, Jia Li, Jenny Chim, Qian Liu, Evgenii Zheltonozhskii, Terry Yue Zhuo, Thomas Wang, Olivier Dehaene, Mishig Davaadorj, Joel Lamy-Poirier, João Monteiro, Oleh Shliazhko, Nicolas Gontier, Nicholas Meade, Armel Zebaze, Ming-Ho Yee, Logesh Kumar Umapathi, Jian Zhu, Benjamin Lipkin, Muhtasham Oblokulov, Zhiruo Wang, Rudra Murthy V, Jason Stillerman, Siva Sankalp Patel, Dmitry Abulkhanov, Marco Zocca, Manan Dey, Zhihan Zhang, Nour Moustafa-Fahmy, Urvashi Bhattacharyya, Wenhao Yu, Swayam Singh, Sasha Luccioni, Paulo Villegas, Maxim Kunakov, Fedor Zhdanov, Manuel Romero, Tony Lee, Nadav Timor, Jennifer Ding, Claire Schlesinger, Hailey Schoelkopf, Jan Ebert, Tri Dao, Mayank Mishra, Alex Gu, Jennifer Robinson, Carolyn Jane Anderson, Brendan Dolan-Gavitt, Danish Contractor, Siva Reddy, Daniel Fried, Dzmitry Bahdanau, Yacine Jernite, Carlos Muñoz Ferrandis, Sean Hughes, Thomas Wolf, Arjun Guha, Leandro von Werra, Harm de Vries
2023	J	`jnl`	StarCoder: may the source be with you! Trans. Mach. Learn. Res. Raymond Li, Loubna Ben Allal, Yangtian Zi, Niklas Muennighoff, Denis Kocetkov, Chenghao Mou, Marc Marone, Christopher Akiki, Jia Li, Jenny Chim, Qian Liu, Evgenii Zheltonozhskii, Terry Yue Zhuo, Thomas Wang, Olivier Dehaene, Mishig Davaadorj, Joel Lamy-Poirier, João Monteiro, Oleh Shliazhko, Nicolas Gontier, Nicholas Meade, Armel Zebaze, Ming-Ho Yee, Logesh Kumar Umapathi, Jian Zhu, Benjamin Lipkin, Muhtasham Oblokulov, Zhiruo Wang, Rudra Murthy V, Jason T. Stillerman, Siva Sankalp Patel, Dmitry Abulkhanov, Marco Zocca, Manan Dey, Zhihan Zhang, Nour Fahmy, Urvashi Bhattacharyya, Wenhao Yu, Swayam Singh, Sasha Luccioni, Paulo Villegas, Maxim Kunakov, Fedor Zhdanov, Manuel Romero, Tony Lee, Nadav Timor, Jennifer Ding, Claire Schlesinger, Hailey Schoelkopf, Jan Ebert, Tri Dao, Mayank Mishra, Alex Gu, Jennifer Robinson, Carolyn Jane Anderson, Brendan Dolan-Gavitt, Danish Contractor, Siva Reddy, Daniel Fried, Dzmitry Bahdanau, Yacine Jernite, Carlos Muñoz Ferrandis, Sean Hughes, Thomas Wolf, Arjun Guha, Leandro von Werra, Harm de Vries
2023	J	`jnl`	The BigCode Project Governance Card. CoRR Sean Hughes, Harm de Vries, Jennifer Robinson, Carlos Muñoz Ferrandis, Loubna Ben Allal, Leandro von Werra, Jennifer Ding, Sébastien Paquet, Yacine Jernite
2023	J	`jnl`	The Stack: 3 TB of permissively licensed source code. Trans. Mach. Learn. Res. Denis Kocetkov, Raymond Li, Loubna Ben Allal, Jia Li, Chenghao Mou, Yacine Jernite, Margaret Mitchell, Carlos Muñoz Ferrandis, Sean Hughes, Thomas Wolf, Dzmitry Bahdanau, Leandro von Werra, Harm de Vries
2023	A	`conf`	The StatCan Dialogue Dataset: Retrieving Data Tables through Conversations with Genuine Intents. EACL Xing Han Lù, Siva Reddy, Harm de Vries
2023	J	`jnl`	The StatCan Dialogue Dataset: Retrieving Data Tables through Conversations with Genuine Intents. CoRR Xing Han Lù, Siva Reddy, Harm de Vries
2022	—	`conf`	The Power of Prompt Tuning for Low-Resource Semantic Parsing. ACL (2) Nathan Schucher, Siva Reddy, Harm de Vries
2022	J	`jnl`	The Stack: 3 TB of permissively licensed source code. CoRR Denis Kocetkov, Raymond Li, Loubna Ben Allal, Jia Li, Chenghao Mou, Carlos Muñoz Ferrandis, Yacine Jernite, Margaret Mitchell, Sean Hughes, Thomas Wolf, Dzmitry Bahdanau, Leandro von Werra, Harm de Vries
2022	J	`jnl`	TopiOCQA: Open-domain Conversational Question Answering with Topic Switching. Trans. Assoc. Comput. Linguistics Vaibhav Adlakha, Shehzaad Dhuliawala, Kaheer Suleman, Harm de Vries, Siva Reddy
2021	—	`conf`	DuoRAT: Towards Simpler Text-to-SQL Models. NAACL-HLT Torsten Scholak, Raymond Li, Dzmitry Bahdanau, Harm de Vries, Chris Pal
2021	A*	`conf`	Generative Compositional Augmentations for Scene Graph Prediction. ICCV Boris Knyazev, Harm de Vries, Catalina Cangea, Graham W. Taylor, Aaron C. Courville, Eugene Belilovsky
2021	J	`jnl`	The Power of Prompt Tuning for Low-Resource Semantic Parsing. CoRR Nathan Schucher, Siva Reddy, Harm de Vries
2021	J	`jnl`	TopiOCQA: Open-domain Conversational Question Answeringwith Topic Switching. CoRR Vaibhav Adlakha, Shehzaad Dhuliawala, Kaheer Suleman, Harm de Vries, Siva Reddy
2020	J	`jnl`	DuoRAT: Towards Simpler Text-to-SQL Models. CoRR Torsten Scholak, Raymond Li, Dzmitry Bahdanau, Harm de Vries, Chris Pal
2020	J	`jnl`	Generative Graph Perturbations for Scene Graph Prediction. CoRR Boris Knyazev, Harm de Vries, Catalina Cangea, Graham W. Taylor, Aaron C. Courville, Eugene Belilovsky
2020	A	`conf`	Graph Density-Aware Losses for Novel Compositions in Scene Graph Generation. BMVC Boris Knyazev, Harm de Vries, Catalina Cangea, Graham W. Taylor, Aaron C. Courville, Eugene Belilovsky
2020	J	`jnl`	Graph Density-Aware Losses for Novel Compositions in Scene Graph Generation. CoRR Boris Knyazev, Harm de Vries, Catalina Cangea, Graham W. Taylor, Aaron C. Courville, Eugene Belilovsky
2020	J	`jnl`	Towards Ecologically Valid Research on Language User Interfaces. CoRR Harm de Vries, Dzmitry Bahdanau, Christopher D. Manning
2020	J	`jnl`	Uni- and multivariate probability density models for numeric subgroup discovery. Intell. Data Anal. Marvin Meeng, Harm de Vries, Peter A. Flach, Siegfried Nijssen, Arno J. Knobbe
2019	—	`conf`	CLOSURE: Assessing Systematic Generalization of CLEVR Models. ViGIL@NeurIPS Harm de Vries, Dzmitry Bahdanau, Shikhar Murty, Aaron C. Courville, Philippe Beaudoin
2019	J	`jnl`	CLOSURE: Assessing Systematic Generalization of CLEVR Models. CoRR Dzmitry Bahdanau, Harm de Vries, Timothy J. O'Donnell, Shikhar Murty, Philippe Beaudoin, Yoshua Bengio, Aaron C. Courville
2019	—	`conf`	Systematic Generalization: What Is Required and Can It Be Learned? ICLR (Poster) Dzmitry Bahdanau, Shikhar Murty, Michael Noukhovitch, Thien Huu Nguyen, Harm de Vries, Aaron C. Courville
2018	A*	`conf`	FiLM: Visual Reasoning with a General Conditioning Layer. AAAI Ethan Perez, Florian Strub, Harm de Vries, Vincent Dumoulin, Aaron C. Courville
2018	J	`jnl`	Systematic Generalization: What Is Required and Can It Be Learned? CoRR Dzmitry Bahdanau, Shikhar Murty, Michael Noukhovitch, Thien Huu Nguyen, Harm de Vries, Aaron C. Courville
2018	J	`jnl`	Talk the Walk: Navigating New York City through Grounded Dialogue. CoRR Harm de Vries, Kurt Shuster, Dhruv Batra, Devi Parikh, Jason Weston, Douwe Kiela
2018	—	`conf`	Visual Reasoning with Multi-hop Feature Modulation. ECCV (5) Florian Strub, Mathieu Seurin, Ethan Perez, Harm de Vries, Jérémie Mary, Philippe Preux, Aaron C. Courville, Olivier Pietquin
2018	J	`jnl`	Visual Reasoning with Multi-hop Feature Modulation. CoRR Florian Strub, Mathieu Seurin, Ethan Perez, Harm de Vries, Jérémie Mary, Philippe Preux, Aaron C. Courville, Olivier Pietquin
2017	—	`conf`	Empirical evaluation of gradient methods for matrix learning vector quantization. WSOM Michael LeKander, Michael Biehl, Harm de Vries
2017	A*	`conf`	End-to-end optimization of goal-driven and visually grounded dialogue systems. IJCAI Florian Strub, Harm de Vries, Jérémie Mary, Bilal Piot, Aaron C. Courville, Olivier Pietquin
2017	J	`jnl`	End-to-end optimization of goal-driven and visually grounded dialogue systems. CoRR Florian Strub, Harm de Vries, Jérémie Mary, Bilal Piot, Aaron C. Courville, Olivier Pietquin
2017	J	`jnl`	FiLM: Visual Reasoning with a General Conditioning Layer. CoRR Ethan Perez, Florian Strub, Harm de Vries, Vincent Dumoulin, Aaron C. Courville
2017	A*	`conf`	GuessWhat?! Visual Object Discovery through Multi-modal Dialogue. CVPR Harm de Vries, Florian Strub, Sarath Chandar, Olivier Pietquin, Hugo Larochelle, Aaron C. Courville
2017	J	`jnl`	Learning Visual Reasoning Without Strong Priors. CoRR Ethan Perez, Harm de Vries, Florian Strub, Vincent Dumoulin, Aaron C. Courville
2017	—	`conf`	Modulating early visual processing by language. NIPS Harm de Vries, Florian Strub, Jérémie Mary, Hugo Larochelle, Olivier Pietquin, Aaron C. Courville
2017	J	`jnl`	Modulating early visual processing by language. CoRR Harm de Vries, Florian Strub, Jérémie Mary, Hugo Larochelle, Olivier Pietquin, Aaron C. Courville
2016	B	`conf`	Deep Learning Vector Quantization. ESANN Harm de Vries, Roland Memisevic, Aaron C. Courville
2016	J	`jnl`	GuessWhat?! Visual object discovery through multi-modal dialogue. CoRR Harm de Vries, Florian Strub, Sarath Chandar, Olivier Pietquin, Hugo Larochelle, Aaron C. Courville
2016	J	`jnl`	Theano: A Python framework for fast computation of mathematical expressions. CoRR Rami Al-Rfou, Guillaume Alain, Amjad Almahairi, Christof Angermüller, Dzmitry Bahdanau, Nicolas Ballas, Frédéric Bastien, Justin Bayer, Anatoly Belikov, Alexander Belopolsky, Yoshua Bengio, Arnaud Bergeron, James Bergstra, Valentin Bisson, Josh Bleecher Snyder, Nicolas Bouchard, Nicolas Boulanger-Lewandowski, Xavier Bouthillier, Alexandre de Brébisson, Olivier Breuleux, Pierre Luc Carrier, Kyunghyun Cho, Jan Chorowski, Paul F. Christiano, Tim Cooijmans, Marc-Alexandre Côté, Myriam Côté, Aaron C. Courville, Yann N. Dauphin, Olivier Delalleau, Julien Demouth, Guillaume Desjardins, Sander Dieleman, Laurent Dinh, Melanie Ducoffe, Vincent Dumoulin, Samira Ebrahimi Kahou, Dumitru Erhan, Ziye Fan, Orhan Firat, Mathieu Germain, Xavier Glorot, Ian J. Goodfellow, Matthew Graham, Çaglar Gülçehre, Philippe Hamel, Iban Harlouchet, Jean-Philippe Heng, Balázs Hidasi, Sina Honari, Arjun Jain, Sébastien Jean, Kai Jia, Mikhail Korobov, Vivek Kulkarni, Alex Lamb, Pascal Lamblin, Eric Larsen, César Laurent, Sean Lee, Simon Lefrançois, Simon Lemieux, Nicholas Léonard, Zhouhan Lin, Jesse A. Livezey, Cory Lorenz, Jeremiah Lowin, Qianli Ma, Pierre-Antoine Manzagol, Olivier Mastropietro, Robert McGibbon, Roland Memisevic, Bart van Merriënboer, Vincent Michalski, Mehdi Mirza, Alberto Orlandi, Christopher Joseph Pal, Razvan Pascanu, Mohammad Pezeshki, Colin Raffel, Daniel Renshaw, Matthew Rocklin, Adriana Romero, Markus Roth, Peter Sadowski, John Salvatier, François Savard, Jan Schlüter, John Schulman, Gabriel Schwartz, Iulian Vlad Serban, Dmitriy Serdyuk, Samira Shabanian, Étienne Simon, Sigurd Spieckermann, S. Ramana Subramanyam, Jakub Sygnowski, Jérémie Tanguay, Gijs van Tulder, Joseph P. Turian, Sebastian Urban, Pascal Vincent, Francesco Visin, Harm de Vries, David Warde-Farley, Dustin J. Webb, Matthew Willson, Kelvin Xu, Lijun Xue, Li Yao, Saizheng Zhang, Ying Zhang
2015	J	`jnl`	Can deep learning help you find the perfect match? CoRR Harm de Vries, Jason Yosinski
2015	—	`conf`	Equilibrated adaptive learning rates for non-convex optimization. NIPS Yann N. Dauphin, Harm de Vries, Yoshua Bengio
2015	J	`jnl`	RMSProp and equilibrated adaptive learning rates for non-convex optimization. CoRR Yann N. Dauphin, Harm de Vries, Junyoung Chung, Yoshua Bengio
2014	B	`conf`	Parametric Nonlinear Regression Models for Dike Monitoring Systems. IDA Harm de Vries, George Azzopardi, André Koelewijn, Arno J. Knobbe