Vincent Dumoulin

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 47

Top Topics

Domain Adaptation

Intermediate Representations

Top Venues

Publications

Nazanin Mohammadi Sepahvand, Vincent Dumoulin, Eleni Triantafillou, Gintare Karolina Dziugaite
Data Selection for Transfer Unlearning. CoRR (2024)
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
Leveraging tropical reef, bird and unrelated sounds for superior transfer learning in marine bioacoustics. CoRR (2024)
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
Are we making progress in unlearning? Findings from the first NeurIPS unlearning competition. CoRR (2024)
Vincent Dumoulin, Daniel D. Johnson, Pablo Samuel Castro, Hugo Larochelle, Yann N. Dauphin
A density estimation perspective on learning from pairwise human preferences. Trans. Mach. Learn. Res. 2024 (2024)
Vincent Dumoulin, Wenjing Rao, Natasha Devroye
On the Response Entropy of APUFs. CoRR (2024)
Vincent Dumoulin, Wenjing Rao, Natasha Devroye
Active learning for fast and slow modeling attacks on Arbiter PUFs. DSD (2023)
Malik Boudiaf, Tom Denton, Bart van Merrienboer, Vincent Dumoulin, Eleni Triantafillou
In Search for a Generalizable Method for Source Free Domain Adaptation. ICML (2023)
Vincent Dumoulin, Daniel D. Johnson, Pablo Samuel Castro, Hugo Larochelle, Yann N. Dauphin
A density estimation perspective on learning from pairwise human preferences. CoRR (2023)
Jenny Hamer, Eleni Triantafillou, Bart van Merriënboer, Stefan Kahl, Holger Klinck, Tom Denton, Vincent Dumoulin
BIRB: A Generalization Benchmark for Information Retrieval in Bioacoustics. CoRR (2023)
Vincent Dumoulin, Wenjing Rao, Natasha Devroye
Active learning for fast and slow modeling attacks on Arbiter PUFs. CoRR (2023)
Malik Boudiaf, Tom Denton, Bart van Merriënboer, Vincent Dumoulin, Eleni Triantafillou
In Search for a Generalizable Method for Source Free Domain Adaptation. CoRR (2023)
Halley Young, Vincent Dumoulin, Pablo S. Castro, Jesse H. Engel, Cheng-Zhi Anna Huang
Compositional Steering of Music Transformers 66-80. IUI Workshops (2022)
Cristina Vasconcelos, Vighnesh Birodkar, Vincent Dumoulin
Proper Reuse of Image Classification Features Improves Object Detection. CVPR (2022)
Utku Evci, Vincent Dumoulin, Hugo Larochelle, Michael C. Mozer
Head2Toe: Utilizing Intermediate Representations for Better Transfer Learning. ICML (2022)
Yeqi Wei, Tim Fox, Vincent Dumoulin, Wenjing Rao, Natasha Devroye
APUF Faults: Impact, Testing, and Diagnosis. DATE (2022)
Utku Evci, Vincent Dumoulin, Hugo Larochelle, Michael C. Mozer
Head2Toe: Utilizing Intermediate Representations for Better Transfer Learning. CoRR (2022)
Cristina Vasconcelos, Vighnesh Birodkar, Vincent Dumoulin
Proper Reuse of Image Classification Features Improves Object Detection. CoRR (2022)
Cristina Vasconcelos, Hugo Larochelle, Vincent Dumoulin, Rob Romijnders, Nicolas Le Roux, Ross Goroshin
Impact of Aliasing on Generalization in Deep Convolutional Networks. ICCV (2021)
Eleni Triantafillou, Hugo Larochelle, Richard S. Zemel, Vincent Dumoulin
Learning a Universal Template for Few-shot Dataset Generalization. CoRR (2021)
Joao Monteiro, Xavier Gibert Serra, Jianqiao Feng, Vincent Dumoulin, Dar-Shyang Lee
Domain Conditional Predictors for Domain Adaptation. CoRR (2021)
Vincent Dumoulin, Neil Houlsby, Utku Evci, Xiaohua Zhai, Ross Goroshin, Sylvain Gelly, Hugo Larochelle
Comparing Transfer and Meta Learning Approaches on a Unified Few-Shot Classification Benchmark. CoRR (2021)
Vincent Dumoulin, Neil Houlsby, Utku Evci, Xiaohua Zhai, Ross Goroshin, Sylvain Gelly, Hugo Larochelle
A Unified Few-Shot Classification Benchmark to Compare Transfer and Meta Learning Approaches. NeurIPS Datasets and Benchmarks (2021)
Eleni Triantafillou, Hugo Larochelle, Richard S. Zemel, Vincent Dumoulin
Learning a Universal Template for Few-shot Dataset Generalization. ICML (2021)
Cristina Vasconcelos, Hugo Larochelle, Vincent Dumoulin, Rob Romijnders, Nicolas Le Roux, Ross Goroshin
Impact of Aliasing on Generalization in Deep Convolutional Networks. CoRR (2021)
João Monteiro, Xavier Gibert Serra, Jianqiao Feng, Vincent Dumoulin, Dar-Shyang Lee
Domain Conditional Predictors for Domain Adaptation. Preregister@NeurIPS (2020)
Cristina Vasconcelos, Hugo Larochelle, Vincent Dumoulin, Nicolas Le Roux, Ross Goroshin
An Effective Anti-Aliasing Approach for Residual Networks. CoRR (2020)
Eleni Triantafillou, Tyler Zhu, Vincent Dumoulin, Pascal Lamblin, Utku Evci, Kelvin Xu, Ross Goroshin, Carles Gelada, Kevin Swersky, Pierre-Antoine Manzagol, Hugo Larochelle
Meta-Dataset: A Dataset of Datasets for Learning to Learn from Few Examples. ICLR (2020)
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
The Hanabi challenge: A new frontier for AI research. Artif. Intell. 280 (2020)
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
The Hanabi Challenge: A New Frontier for AI Research. CoRR (2019)
Eleni Triantafillou, Tyler Zhu, Vincent Dumoulin, Pascal Lamblin, Kelvin Xu, Ross Goroshin, Carles Gelada, Kevin Swersky, Pierre-Antoine Manzagol, Hugo Larochelle
Meta-Dataset: A Dataset of Datasets for Learning to Learn from Few Examples. CoRR (2019)
Hugo Prol, Vincent Dumoulin, Luis Herranz
Cross-Modulation Networks for Few-Shot Learning. CoRR (2018)
Ethan Perez, Florian Strub, Harm de Vries, Vincent Dumoulin, Aaron C. Courville
FiLM: Visual Reasoning with a General Conditioning Layer. AAAI (2018)
Antonia Creswell, Tom White, Vincent Dumoulin, Kai Arulkumaran, Biswa Sengupta, Anil A. Bharath
Generative Adversarial Networks: An Overview. IEEE Signal Process. Mag. 35 (1) (2018)
Ethan Perez, Harm de Vries, Florian Strub, Vincent Dumoulin, Aaron C. Courville
Learning Visual Reasoning Without Strong Priors. CoRR (2017)
Vincent Dumoulin, Jonathon Shlens, Manjunath Kudlur
A Learned Representation For Artistic Style. ICLR (Poster) (2017)
Ethan Perez, Florian Strub, Harm de Vries, Vincent Dumoulin, Aaron C. Courville
FiLM: Visual Reasoning with a General Conditioning Layer. CoRR (2017)
Golnaz Ghiasi, Honglak Lee, Manjunath Kudlur, Vincent Dumoulin, Jonathon Shlens
Exploring the structure of a real-time, arbitrary neural artistic stylization network. BMVC (2017)
Vincent Dumoulin, Ishmael Belghazi, Ben Poole, Alex Lamb, Martín Arjovsky, Olivier Mastropietro, Aaron C. Courville
Adversarially Learned Inference. ICLR (Poster) (2017)
Golnaz Ghiasi, Honglak Lee, Manjunath Kudlur, Vincent Dumoulin, Jonathon Shlens
Exploring the structure of a real-time, arbitrary neural artistic stylization network. CoRR (2017)
Ishaan Gulrajani, Faruk Ahmed, Martín Arjovsky, Vincent Dumoulin, Aaron C. Courville
Improved Training of Wasserstein GANs. NIPS (2017)
Antonia Creswell, Tom White, Vincent Dumoulin, Kai Arulkumaran, Biswa Sengupta, Anil A. Bharath
Generative Adversarial Networks: An Overview. CoRR (2017)
Ishaan Gulrajani, Faruk Ahmed, Martín Arjovsky, Vincent Dumoulin, Aaron C. Courville
Improved Training of Wasserstein GANs. CoRR (2017)
Vincent Dumoulin, Ishmael Belghazi, Ben Poole, Alex Lamb, Martín Arjovsky, Olivier Mastropietro, Aaron C. Courville
Adversarially Learned Inference. CoRR (2016)
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
Theano: A Python framework for fast computation of mathematical expressions. CoRR (2016)
Alex Lamb, Vincent Dumoulin, Aaron C. Courville
Discriminative Regularization for Generative Models. CoRR (2016)
Vincent Dumoulin, Jonathon Shlens, Manjunath Kudlur
A Learned Representation For Artistic Style. CoRR (2016)
Vincent Dumoulin, Francesco Visin
A guide to convolution arithmetic for deep learning. CoRR (2016)
Bart van Merriënboer, Dzmitry Bahdanau, Vincent Dumoulin, Dmitriy Serdyuk, David Warde-Farley, Jan Chorowski, Yoshua Bengio
Blocks and Fuel: Frameworks for deep learning. CoRR (2015)
Vincent Dumoulin, Ian J. Goodfellow, Aaron C. Courville, Yoshua Bengio
On the Challenges of Physical Implementations of RBMs. AAAI (2014)
Vincent Dumoulin, Ian J. Goodfellow, Aaron C. Courville, Yoshua Bengio
On the Challenges of Physical Implementations of RBMs. CoRR (2013)
Ian J. Goodfellow, David Warde-Farley, Pascal Lamblin, Vincent Dumoulin, Mehdi Mirza, Razvan Pascanu, James Bergstra, Frédéric Bastien, Yoshua Bengio
Pylearn2: a machine learning research library. CoRR (2013)