Vincent Dumoulin

55 papers A* 8A 2C 1Journal 38Unranked 6

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Capturing Individual Human Preferences with Reward Features. CoRR André Barreto, Vincent Dumoulin, Yiran Mao, Nicolas Perez Nieves, Bobak Shahriari, Yann N. Dauphin, Doina Precup, Hugo Larochelle
2025	J	`jnl`	Perch 2.0 transfers 'whale' to underwater tasks. CoRR Andrea Burns, Lauren Harrell, Bart van Merriënboer, Vincent Dumoulin, Jenny Hamer, Tom Denton
2025	J	`jnl`	Perch 2.0: The Bittern Lesson for Bioacoustics. CoRR Bart van Merriënboer, Vincent Dumoulin, Jenny Hamer, Lauren Harrell, Andrea Burns, Tom Denton
2024	J	`jnl`	A density estimation perspective on learning from pairwise human preferences. Trans. Mach. Learn. Res. Vincent Dumoulin, Daniel D. Johnson, Pablo Samuel Castro, Hugo Larochelle, Yann N. Dauphin
2024	J	`jnl`	Are we making progress in unlearning? Findings from the first NeurIPS unlearning competition. CoRR Eleni Triantafillou, Peter Kairouz, Fabian Pedregosa, Jamie Hayes, Meghdad Kurmanji, Kairan Zhao, Vincent Dumoulin, Júlio C. S. Jacques Júnior, Ioannis Mitliagkas, Jun Wan, Lisheng Sun-Hosoya, Sergio Escalera, Gintare Karolina Dziugaite, Peter Triantafillou, Isabelle Guyon
2024	J	`jnl`	Data Selection for Transfer Unlearning. CoRR Nazanin Mohammadi Sepahvand, Vincent Dumoulin, Eleni Triantafillou, Gintare Karolina Dziugaite
2024	J	`jnl`	Leveraging tropical reef, bird and unrelated sounds for superior transfer learning in marine bioacoustics. CoRR Ben Williams, Bart van Merriënboer, Vincent Dumoulin, Jenny Hamer, Eleni Triantafillou, Abram B. Fleishman, Matthew McKown, Jill E. Munger, Aaron N. Rice, Ashlee Lillis, Clemency E. White, Catherine A. D. Hobbs, Tries B. Razak, Kate E. Jones, Tom Denton
2024	J	`jnl`	On the Response Entropy of APUFs. CoRR Vincent Dumoulin, Wenjing Rao, Natasha Devroye
2024	J	`jnl`	On the Response Entropy of APUFs. J. Hardw. Syst. Secur. Vincent Dumoulin, Wenjing Rao, Natasha Devroye
2023	J	`jnl`	A density estimation perspective on learning from pairwise human preferences. CoRR Vincent Dumoulin, Daniel D. Johnson, Pablo Samuel Castro, Hugo Larochelle, Yann N. Dauphin
2023	C	`conf`	Active learning for fast and slow modeling attacks on Arbiter PUFs. DSD Vincent Dumoulin, Wenjing Rao, Natasha Devroye
2023	J	`jnl`	Active learning for fast and slow modeling attacks on Arbiter PUFs. CoRR Vincent Dumoulin, Wenjing Rao, Natasha Devroye
2023	J	`jnl`	BIRB: A Generalization Benchmark for Information Retrieval in Bioacoustics. CoRR Jenny Hamer, Eleni Triantafillou, Bart van Merriënboer, Stefan Kahl, Holger Klinck, Tom Denton, Vincent Dumoulin
2023	A*	`conf`	In Search for a Generalizable Method for Source Free Domain Adaptation. ICML Malik Boudiaf, Tom Denton, Bart van Merrienboer, Vincent Dumoulin, Eleni Triantafillou
2023	J	`jnl`	In Search for a Generalizable Method for Source Free Domain Adaptation. CoRR Malik Boudiaf, Tom Denton, Bart van Merriënboer, Vincent Dumoulin, Eleni Triantafillou
2022	A	`conf`	APUF Faults: Impact, Testing, and Diagnosis. DATE Yeqi Wei, Tim Fox, Vincent Dumoulin, Wenjing Rao, Natasha Devroye
2022	—	`conf`	Compositional Steering of Music Transformers 66-80. IUI Workshops Halley Young, Vincent Dumoulin, Pablo S. Castro, Jesse H. Engel, Cheng-Zhi Anna Huang
2022	A*	`conf`	Head2Toe: Utilizing Intermediate Representations for Better Transfer Learning. ICML Utku Evci, Vincent Dumoulin, Hugo Larochelle, Michael C. Mozer
2022	J	`jnl`	Head2Toe: Utilizing Intermediate Representations for Better Transfer Learning. CoRR Utku Evci, Vincent Dumoulin, Hugo Larochelle, Michael C. Mozer
2022	A*	`conf`	Proper Reuse of Image Classification Features Improves Object Detection. CVPR Cristina Nader Vasconcelos, Vighnesh Birodkar, Vincent Dumoulin
2022	J	`jnl`	Proper Reuse of Image Classification Features Improves Object Detection. CoRR Cristina Nader Vasconcelos, Vighnesh Birodkar, Vincent Dumoulin
2021	—	`conf`	A Unified Few-Shot Classification Benchmark to Compare Transfer and Meta Learning Approaches. NeurIPS Datasets and Benchmarks Vincent Dumoulin, Neil Houlsby, Utku Evci, Xiaohua Zhai, Ross Goroshin, Sylvain Gelly, Hugo Larochelle
2021	J	`jnl`	Comparing Transfer and Meta Learning Approaches on a Unified Few-Shot Classification Benchmark. CoRR Vincent Dumoulin, Neil Houlsby, Utku Evci, Xiaohua Zhai, Ross Goroshin, Sylvain Gelly, Hugo Larochelle
2021	J	`jnl`	Domain Conditional Predictors for Domain Adaptation. CoRR João Monteiro, Xavier Gibert Serra, Jianqiao Feng, Vincent Dumoulin, Dar-Shyang Lee
2021	A*	`conf`	Impact of Aliasing on Generalization in Deep Convolutional Networks. ICCV Cristina Nader Vasconcelos, Hugo Larochelle, Vincent Dumoulin, Rob Romijnders, Nicolas Le Roux, Ross Goroshin
2021	J	`jnl`	Impact of Aliasing on Generalization in Deep Convolutional Networks. CoRR Cristina Nader Vasconcelos, Hugo Larochelle, Vincent Dumoulin, Rob Romijnders, Nicolas Le Roux, Ross Goroshin
2021	A*	`conf`	Learning a Universal Template for Few-shot Dataset Generalization. ICML Eleni Triantafillou, Hugo Larochelle, Richard S. Zemel, Vincent Dumoulin
2021	J	`jnl`	Learning a Universal Template for Few-shot Dataset Generalization. CoRR Eleni Triantafillou, Hugo Larochelle, Richard S. Zemel, Vincent Dumoulin
2020	J	`jnl`	An Effective Anti-Aliasing Approach for Residual Networks. CoRR Cristina Nader Vasconcelos, Hugo Larochelle, Vincent Dumoulin, Nicolas Le Roux, Ross Goroshin
2020	—	`conf`	Domain Conditional Predictors for Domain Adaptation. Preregister@NeurIPS João Monteiro, Xavier Gibert Serra, Jianqiao Feng, Vincent Dumoulin, Dar-Shyang Lee
2020	A*	`conf`	Meta-Dataset: A Dataset of Datasets for Learning to Learn from Few Examples. ICLR Eleni Triantafillou, Tyler Zhu, Vincent Dumoulin, Pascal Lamblin, Utku Evci, Kelvin Xu, Ross Goroshin, Carles Gelada, Kevin Swersky, Pierre-Antoine Manzagol, Hugo Larochelle
2020	J	`jnl`	The Hanabi challenge: A new frontier for AI research. Artif. Intell. Nolan Bard, Jakob N. Foerster, Sarath Chandar, Neil Burch, Marc Lanctot, H. Francis Song, Emilio Parisotto, Vincent Dumoulin, Subhodeep Moitra, Edward Hughes, Iain Dunning, Shibl Mourad, Hugo Larochelle, Marc G. Bellemare, Michael Bowling
2019	J	`jnl`	Meta-Dataset: A Dataset of Datasets for Learning to Learn from Few Examples. CoRR Eleni Triantafillou, Tyler Zhu, Vincent Dumoulin, Pascal Lamblin, Kelvin Xu, Ross Goroshin, Carles Gelada, Kevin Swersky, Pierre-Antoine Manzagol, Hugo Larochelle
2019	J	`jnl`	The Hanabi Challenge: A New Frontier for AI Research. CoRR Nolan Bard, Jakob N. Foerster, Sarath Chandar, Neil Burch, Marc Lanctot, H. Francis Song, Emilio Parisotto, Vincent Dumoulin, Subhodeep Moitra, Edward Hughes, Iain Dunning, Shibl Mourad, Hugo Larochelle, Marc G. Bellemare, Michael Bowling
2018	J	`jnl`	Cross-Modulation Networks for Few-Shot Learning. CoRR Hugo Prol, Vincent Dumoulin, Luis Herranz
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`	Generative Adversarial Networks: An Overview. IEEE Signal Process. Mag. Antonia Creswell, Tom White, Vincent Dumoulin, Kai Arulkumaran, Biswa Sengupta, Anil A. Bharath
2017	—	`conf`	A Learned Representation For Artistic Style. ICLR (Poster) Vincent Dumoulin, Jonathon Shlens, Manjunath Kudlur
2017	—	`conf`	Adversarially Learned Inference. ICLR (Poster) Vincent Dumoulin, Ishmael Belghazi, Ben Poole, Alex Lamb, Martín Arjovsky, Olivier Mastropietro, Aaron C. Courville
2017	A	`conf`	Exploring the structure of a real-time, arbitrary neural artistic stylization network. BMVC Golnaz Ghiasi, Honglak Lee, Manjunath Kudlur, Vincent Dumoulin, Jonathon Shlens
2017	J	`jnl`	Exploring the structure of a real-time, arbitrary neural artistic stylization network. CoRR Golnaz Ghiasi, Honglak Lee, Manjunath Kudlur, Vincent Dumoulin, Jonathon Shlens
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	J	`jnl`	Generative Adversarial Networks: An Overview. CoRR Antonia Creswell, Tom White, Vincent Dumoulin, Kai Arulkumaran, Biswa Sengupta, Anil A. Bharath
2017	—	`conf`	Improved Training of Wasserstein GANs. NIPS Ishaan Gulrajani, Faruk Ahmed, Martín Arjovsky, Vincent Dumoulin, Aaron C. Courville
2017	J	`jnl`	Improved Training of Wasserstein GANs. CoRR Ishaan Gulrajani, Faruk Ahmed, Martín Arjovsky, Vincent Dumoulin, 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
2016	J	`jnl`	A Learned Representation For Artistic Style. CoRR Vincent Dumoulin, Jonathon Shlens, Manjunath Kudlur
2016	J	`jnl`	A guide to convolution arithmetic for deep learning. CoRR Vincent Dumoulin, Francesco Visin
2016	J	`jnl`	Adversarially Learned Inference. CoRR Vincent Dumoulin, Ishmael Belghazi, Ben Poole, Alex Lamb, Martín Arjovsky, Olivier Mastropietro, Aaron C. Courville
2016	J	`jnl`	Discriminative Regularization for Generative Models. CoRR Alex Lamb, Vincent Dumoulin, 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`	Blocks and Fuel: Frameworks for deep learning. CoRR Bart van Merriënboer, Dzmitry Bahdanau, Vincent Dumoulin, Dmitriy Serdyuk, David Warde-Farley, Jan Chorowski, Yoshua Bengio
2014	A*	`conf`	On the Challenges of Physical Implementations of RBMs. AAAI Vincent Dumoulin, Ian J. Goodfellow, Aaron C. Courville, Yoshua Bengio
2013	J	`jnl`	On the Challenges of Physical Implementations of RBMs. CoRR Vincent Dumoulin, Ian J. Goodfellow, Aaron C. Courville, Yoshua Bengio
2013	J	`jnl`	Pylearn2: a machine learning research library. CoRR Ian J. Goodfellow, David Warde-Farley, Pascal Lamblin, Vincent Dumoulin, Mehdi Mirza, Razvan Pascanu, James Bergstra, Frédéric Bastien, Yoshua Bengio