Vincent Dumoulin

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All published works

Action	Title	Year	Authors
+ PDF Chat	On the Response Entropy of APUFs	2024	Vincent Dumoulin Wenjing Rao Natasha Devroye
+ PDF Chat	Are we making progress in unlearning? Findings from the first NeurIPS unlearning competition	2024	Eleni Triantafillou Peter Kairouz Fabian Pedregosa Jamie Hayes Meghdad Kurmanji Kairan Zhao Vincent Dumoulin Julio Jacques Junior Ioannis Mitliagkas Jun Wan
+ PDF Chat	Data Selection for Transfer Unlearning	2024	Nazanin Mohammadi Sepahvand Vincent Dumoulin Eleni Triantafillou Gintare Karolina Dziugaite
+ PDF Chat	Leveraging tropical reef, bird and unrelated sounds for superior transfer learning in marine bioacoustics	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
+ PDF Chat	Active learning for fast and slow modeling attacks on Arbiter PUFs	2023	Vincent Dumoulin Wenjing Rao Natasha Devroye
+	In Search for a Generalizable Method for Source Free Domain Adaptation	2023	Malik Boudiaf Tom Denton Bart van Merriënboer Vincent Dumoulin Eleni Triantafillou
+	Active learning for fast and slow modeling attacks on Arbiter PUFs	2023	Vincent Dumoulin Wenjing Rao Natasha Devroye
+	A density estimation perspective on learning from pairwise human preferences	2023	Vincent Dumoulin Daniel D. Johnson Pablo Samuel Castro Hugo Larochelle Yann Dauphin
+	BIRB: A Generalization Benchmark for Information Retrieval in Bioacoustics	2023	Jenny Hamer Eleni Triantafillou Bart van Merriënboer Stefan Kahl Holger Klinck Tom Denton Vincent Dumoulin
+ PDF Chat	Proper Reuse of Image Classification Features Improves Object Detection	2022	Cristina Nader Vasconcelos Vighnesh Birodkar Vincent Dumoulin
+	Head2Toe: Utilizing Intermediate Representations for Better Transfer Learning	2022	Utku Evci Vincent Dumoulin Hugo Larochelle Michael C. Mozer
+	Proper Reuse of Image Classification Features Improves Object Detection	2022	Cristina Nader Vasconcelos Vighnesh Birodkar Vincent Dumoulin
+ PDF Chat	Impact of Aliasing on Generalization in Deep Convolutional Networks	2021	Cristina Nader Vasconcelos Hugo Larochelle Vincent Dumoulin Rob Romijnders Nicolas Le Roux Ross Goroshin
+	Impact of Aliasing on Generalization in Deep Convolutional Networks	2021	Cristina Nader Vasconcelos Hugo Larochelle Vincent Dumoulin Rob Romijnders Nicolas Le Roux Ross Goroshin
+	Domain Conditional Predictors for Domain Adaptation	2021	João Monteiro Xavier Gibert Jianqiao Feng Vincent Dumoulin Dar-Shyang Lee
+	Learning a Universal Template for Few-shot Dataset Generalization	2021	Eleni Triantafillou Hugo Larochelle Richard S. Zemel Vincent Dumoulin
+	Comparing Transfer and Meta Learning Approaches on a Unified Few-Shot Classification Benchmark.	2021	Vincent Dumoulin Neil Houlsby Utku Evci Xiaohua Zhai Ross Goroshin Sylvain Gelly Hugo Larochelle
+	Impact of Aliasing on Generalization in Deep Convolutional Networks	2021	Cristina Nader Vasconcelos Hugo Larochelle Vincent Dumoulin Rob Romijnders Nicolas Le Roux Ross Goroshin
+	Domain Conditional Predictors for Domain Adaptation	2021	João Monteiro Xavier Gibert Jianqiao Feng Vincent Dumoulin Dar-Shyang Lee
+	Learning a Universal Template for Few-shot Dataset Generalization	2021	Eleni Triantafillou Hugo Larochelle Richard S. Zemel Vincent Dumoulin
+	Comparing Transfer and Meta Learning Approaches on a Unified Few-Shot Classification Benchmark	2021	Vincent Dumoulin Neil Houlsby Utku Evci Xiaohua Zhai Ross Goroshin Sylvain Gelly Hugo Larochelle
+	An Effective Anti-Aliasing Approach for Residual Networks	2020	Cristina Nader Vasconcelos Hugo Larochelle Vincent Dumoulin Nicolas Le Roux Ross Goroshin
+	The Hanabi challenge: A new frontier for AI research	2019	Nolan Bard Jakob Foerster Sarath Chandar Neil Burch Marc Lanctot Hai-Jing Song Emilio Parisotto Vincent Dumoulin Subhodeep Moitra Edward Hughes
+	Meta-Dataset: A Dataset of Datasets for Learning to Learn from Few Examples	2019	Eleni Triantafillou Tyler Zhu Vincent Dumoulin Pascal Lamblin Utku Evci Kelvin Xu Ross Goroshin Carles Gelada Kevin Swersky Pierre-Antoine Manzagol
+	Meta-Dataset: A Dataset of Datasets for Learning to Learn from Few Examples	2019	Eleni Triantafillou Tyler Zhu Vincent Dumoulin Pascal Lamblin Utku Evci Kelvin Xu Ross Goroshin Carles Gelada Kevin Swersky Pierre-Antoine Manzagol
+	Cross-Modulation Networks for Few-Shot Learning.	2018	Hugo Prol Vincent Dumoulin Luis Herranz
+ PDF Chat	FiLM: Visual Reasoning with a General Conditioning Layer	2018	Ethan Perez Florian Strub Harm de Vries Vincent Dumoulin Aaron Courville
+ PDF Chat	Generative Adversarial Networks: An Overview	2018	Antonia Creswell Tom White Vincent Dumoulin Kai Arulkumaran Biswa Sengupta Anil A. Bharath
+	Cross-Modulation Networks for Few-Shot Learning	2018	Hugo Prol Vincent Dumoulin Luis Herranz
+	Exploring the structure of a real-time, arbitrary neural artistic stylization network	2017	Golnaz Ghiasi Honglak Lee Manjunath Kudlur Vincent Dumoulin Jonathon Shlens
+	FiLM: Visual Reasoning with a General Conditioning Layer	2017	Ethan Perez Harm de Vries Florian Strub Vincent Dumoulin Aaron Courville
+	Exploring the structure of a real-time, arbitrary neural artistic stylization network	2017	Golnaz Ghiasi Honglak Lee Manjunath Kudlur Vincent Dumoulin Jonathon Shlens
+	Improved Training of Wasserstein GANs	2017	Ishaan Gulrajani Faruk Ahmed Martín Arjovsky Vincent Dumoulin Aaron Courville
+	Exploring the structure of a real-time, arbitrary neural artistic stylization network	2017	Golnaz Ghiasi Honglak Lee Manjunath Kudlur Vincent Dumoulin Jonathon Shlens
+	A Learned Representation For Artistic Style	2016	Vincent Dumoulin Jonathon Shlens Manjunath Kudlur
+	Adversarially Learned Inference	2016	Vincent Dumoulin Ishmael Belghazi Ben Poole Olivier Mastropietro Alex Lamb Martín Arjovsky Aaron Courville
+	Discriminative Regularization for Generative Models	2016	Alex Lamb Vincent Dumoulin Aaron Courville
+	A guide to convolution arithmetic for deep learning	2016	Vincent Dumoulin Francesco Visin
+	Theano: A Python framework for fast computation of mathematical expressions	2016	The Theano Development Team Rami Al‐Rfou Guillaume Alain Amjad Almahairi Christof Angermueller Dzmitry Bahdanau Nicolas Ballas Frédéric Bastien Justin Bayer Anatoly Belikov
+	A Learned Representation For Artistic Style	2016	Vincent Dumoulin Jonathon Shlens Manjunath Kudlur
+	Adversarially Learned Inference	2016	Vincent Dumoulin Ishmael Belghazi Ben Poole Olivier Mastropietro Alex Lamb Martín Arjovsky Aaron Courville
+	Blocks and Fuel: Frameworks for deep learning	2015	Bart van Merriënboer Dzmitry Bahdanau Vincent Dumoulin Dmitriy Serdyuk David Warde-Farley Jan Chorowski Yoshua Bengio
+	Blocks and Fuel: Frameworks for deep learning	2015	Bart van Merriënboer Dzmitry Bahdanau Vincent Dumoulin Dmitriy Serdyuk David Warde-Farley Jan Chorowski Yoshua Bengio
+ PDF Chat	On the Challenges of Physical Implementations of RBMs	2014	Vincent Dumoulin Ian Goodfellow Aaron Courville Yoshua Bengio
+	A Ballistic Monte Carlo Approximation of {\pi}	2014	Vincent Dumoulin Félix Thouin
+	A Ballistic Monte Carlo Approximation of π	2014	Vincent Dumoulin Félix Thouin
+	Pylearn2: a machine learning research library	2013	Ian Goodfellow David Warde-Farley Pascal Lamblin Vincent Dumoulin Mehdi Mirza Razvan Pascanu James Bergstra Frédéric Bastien Yoshua Bengio
+	Pylearn2: a machine learning research library	2013	Ian Goodfellow David Warde-Farley Pascal Lamblin Vincent Dumoulin Mehdi Mirza Razvan Pascanu James Bergstra Frédéric Bastien Yoshua Bengio
+	On the Challenges of Physical Implementations of RBMs	2013	Vincent Dumoulin Ian Goodfellow Aaron Courville Yoshua Bengio

Common Coauthors

Coauthor	Papers Together
Hugo Larochelle	13
Aaron Courville	9
Ross Goroshin	8
Yoshua Bengio	7
Bart van Merriënboer	6
Cristina Nader Vasconcelos	6
Jonathon Shlens	5
Ian Goodfellow	5
Eleni Triantafillou	5
Utku Evci	5
Pascal Lamblin	5
Manjunath Kudlur	5
David Warde-Farley	5
Nicolas Le Roux	4
Eleni Triantafillou	4
Alex Lamb	4
Natasha Devroye	3
Golnaz Ghiasi	3
Frédéric Bastien	3
Kelvin Xu	3
Jan Chorowski	3
Martín Arjovsky	3
Razvan Pascanu	3
Rob Romijnders	3
Dzmitry Bahdanau	3
Wenjing Rao	3
Harm de Vries	3
Pierre-Antoine Manzagol	3
Dmitriy Serdyuk	3
Olivier Mastropietro	3
Honglak Lee	3
James Bergstra	3
Ishmael Belghazi	2
Vighnesh Birodkar	2
Ben Poole	2
Luis Herranz	2
Francesco Visin	2
Dar-Shyang Lee	2
Tyler Zhu	2
Carles Gelada	2
Xiaohua Zhai	2
Xavier Gibert	2
Gintare Karolina Dziugaite	2
Yann N. Dauphin	2
Tom Denton	2
Neil Houlsby	2
Richard S. Zemel	2
Félix Thouin	2
Sylvain Gelly	2
Jenny Hamer	2

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+ PDF Chat	ImageNet Large Scale Visual Recognition Challenge	2015	Olga Russakovsky Jia Deng Hao Su Jonathan Krause Sanjeev Satheesh Sean Ma Zhiheng Huang Andrej Karpathy Aditya Khosla Michael S. Bernstein	8
+	Matching networks for one shot learning	2016	Oriol Vinyals Charles Blundell Timothy Lillicrap Koray Kavukcuoglu Daan Wierstra	7
+ PDF Chat	Deep Residual Learning for Image Recognition	2016	Kaiming He Xiangyu Zhang Shaoqing Ren Jian Sun	7
+	TADAM: Task dependent adaptive metric for improved few-shot learning	2018	Boris N. Oreshkin Pau Rodríguez Alexandre Lacoste	6
+	Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift	2015	Sergey Ioffe Christian Szegedy	5
+	Prototypical Networks for Few-shot Learning	2017	Jake Snell Kevin Swersky Richard S. Zemel	5
+	Meta-Dataset: A Dataset of Datasets for Learning to Learn from Few Examples	2019	Eleni Triantafillou Tyler Zhu Vincent Dumoulin Pascal Lamblin Utku Evci Kelvin Xu Ross Goroshin Carles Gelada Kevin Swersky Pierre-Antoine Manzagol	5
+ PDF Chat	Learning to Compare: Relation Network for Few-Shot Learning	2018	Flood Sung Yongxin Yang Li Zhang Tao Xiang Philip H. S. Torr Timothy M. Hospedales	4
+	Very Deep Convolutional Networks for Large-Scale Image Recognition	2014	Karen Simonyan Andrew Zisserman	4
+	Theano: new features and speed improvements	2012	Frédéric Bastien Pascal Lamblin Razvan Pascanu James Bergstra Ian J. Goodfellow Arnaud Bergeron Nicolas Bouchard David Warde-Farley Yoshua Bengio	4
+	A Closer Look at Few-shot Classification	2019	Wei-Yu Chen Yen‐Cheng Liu Zsolt Kira Yu-Chiang Frank Wang Jia‐Bin Huang	4
+	Adam: A Method for Stochastic Optimization	2014	Diederik P. Kingma Jimmy Ba	4
+	Deep Generative Image Models using a Laplacian Pyramid of Adversarial Networks	2015	Emily Denton Soumith Chintala Arthur Szlam Rob Fergus	3
+	WaveNet: A Generative Model for Raw Audio	2016	Aäron van den Oord Sander Dieleman Heiga Zen Karen Simonyan Oriol Vinyals Alex Graves Nal Kalchbrenner Andrew Senior Koray Kavukcuoglu	3
+	DRAW: A Recurrent Neural Network For Image Generation	2015	Karol Gregor Ivo Danihelka Alex Graves Danilo Jimenez Rezende Daan Wierstra	3
+ PDF Chat	Identity Mappings in Deep Residual Networks	2016	Kaiming He Xiangyu Zhang Shaoqing Ren Jian Sun	3
+ PDF Chat	Randaugment: Practical automated data augmentation with a reduced search space	2020	Ekin D. Cubuk Barret Zoph Jonathon Shlens Quoc V. Le	3
+	Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks	2017	Chelsea Finn Pieter Abbeel Sergey Levine	3
+	A Learned Representation For Artistic Style	2016	Vincent Dumoulin Jonathon Shlens Manjunath Kudlur	3
+	Cross-Domain Few-Shot Classification via Learned Feature-Wise Transformation	2020	Hung-Yu Tseng Hsin-Ying Lee Jia‐Bin Huang Ming–Hsuan Yang	3
+ PDF Chat	Arbitrary Style Transfer in Real-Time with Adaptive Instance Normalization	2017	Xun Huang Serge Belongie	3
+	Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks	2015	Alec Radford Luke Metz Soumith Chintala	3
+	Why do deep convolutional networks generalize so poorly to small image transformations?	2018	Aharon Azulay Yair Weiss	3
+	Meta-learning with differentiable closed-form solvers	2018	Luca Bertinetto João F. Henriques Philip H. S. Torr Andrea Vedaldi	3
+	Conditional Image Generation with PixelCNN Decoders	2016	Aäron van den Oord Nal Kalchbrenner Oriol Vinyals Lasse Espeholt Alex Graves Koray Kavukcuoglu	3
+	A Fourier Perspective on Model Robustness in Computer Vision	2019	Dong Yin Raphael Gontijo Lopes Jonathon Shlens Ekin D. Cubuk Justin Gilmer	3
+	Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks	2015	Alec Radford Luke Metz Soumith Chintala	3
+	Accurate, Large Minibatch SGD: Training ImageNet in 1 Hour	2017	Priya Goyal Piotr Dollár Ross Girshick Pieter Noordhuis Lukasz Wesolowski Aapo Kyrola Andrew Tulloch Yangqing Jia Kaiming He	3
+	Smooth Adversarial Training	2020	Cihang Xie Mingxing Tan Boqing Gong Alan Yuille Quoc V. Le	3
+ PDF Chat	Describing Textures in the Wild	2014	Mircea Cimpoi Subhransu Maji Iasonas Kokkinos Sammy Mohamed Andrea Vedaldi	3
+	Perceptual Losses for Real-Time Style Transfer and Super-Resolution	2016	Justin Johnson Alexandre Alahi Li Fei-Fei	2
+	Sequences with minimal time–frequency uncertainty	2014	Reza Parhizkar Yann Barbotin Martin Vetterli	2
+	A Multi-World Approach to Question Answering about Real-World Scenes based on Uncertain Input	2014	Mateusz Malinowski Mario Fritz	2
+	On the convergence of markovian stochastic algorithms with rapidly decreasing ergodicity rates	1999	Laurent Younes	2
+ PDF Chat	Dynamic Few-Shot Visual Learning Without Forgetting	2018	Spyros Gidaris Nikos Komodakis	2
+	AutoAugment: Learning Augmentation Policies from Data	2018	Ekin D. Cubuk Barret Zoph Dandelion Mané Vijay Vasudevan Quoc V. Le	2
+	Dynamic Layer Normalization for Adaptive Neural Acoustic Modeling in Speech Recognition	2017	Taesup Kim Inchul Song Yoshua Bengio	2
+	Visual Interaction Networks	2017	Nicholas Watters Andrea Tacchetti Théophane Weber Razvan Pascanu Peter Battaglia Daniel Zoran	2
+	A simple neural network module for relational reasoning	2017	Adam Santoro David Raposo David G. T. Barrett Mateusz Malinowski Razvan Pascanu Peter Battaglia Timothy Lillicrap	2
+ PDF Chat	Low-Shot Learning with Imprinted Weights	2018	H. Jerry Qi Matthew A. Brown David Lowe	2
+	Fast Context Adaptation via Meta-Learning	2018	Luisa Zintgraf Kyriacos Shiarlis Vitaly Kurin Katja Hofmann Shimon Whiteson	2
+	Texture Synthesis Using Convolutional Neural Networks	2015	Leon A. Gatys Alexander S. Ecker Matthias Bethge	2
+	A Neural Algorithm of Artistic Style	2015	Leon A. Gatys Alexander S. Ecker Matthias Bethge	2
+	Stochastic Backpropagation and Approximate Inference in Deep Generative Models	2014	Danilo Jimenez Rezende Shakir Mohamed Daan Wierstra	2
+ PDF Chat	GuessWhat?! Visual Object Discovery through Multi-modal Dialogue	2017	Harm de Vries Florian Strub Sarath Chandar Olivier Pietquin Hugo Larochelle Aaron Courville	2
+	Improving neural networks by preventing co-adaptation of feature detectors	2012	Geoffrey E. Hinton Nitish Srivastava Alex Krizhevsky Ilya Sutskever Ruslan Salakhutdinov	2
+ PDF Chat	Making the V in VQA Matter: Elevating the Role of Image Understanding in Visual Question Answering	2017	Yash Goyal Tejas Khot Douglas Summers-Stay Dhruv Batra Devi Parikh	2
+	Pylearn2: a machine learning research library	2013	Ian Goodfellow David Warde-Farley Pascal Lamblin Vincent Dumoulin Mehdi Mirza Razvan Pascanu James Bergstra Frédéric Bastien Yoshua Bengio	2
+	Modulating early visual processing by language	2017	Harm de Vries Florian Strub Jérémie Mary Hugo Larochelle Olivier Pietquin Aaron Courville	2
+	Neural Photo Editing with Introspective Adversarial Networks	2016	Andrew Brock Theodore Lim Jacob Ritchie Nick Weston	2