Pascal Vincent
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
48
Venues
17
Active years
1990–2025
Best venue rank
A*
Where they publish
Papers
48 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | ICLR | The Pitfalls of Memorization: When Memorization Hurts Generalization. | Reza Bayat, Mohammad Pezeshki, Elvis Dohmatob, David Lopez-Paz, Pascal Vincent |
| 2025 | ICLR | MaestroMotif: Skill Design from Artificial Intelligence Feedback. | Martin Klissarov, Mikael Henaff, Roberta Raileanu, Shagun Sodhani, Pascal Vincent, Amy Zhang, Pierre-Luc Bacon, Doina Precup, Marlos C. Machado, Pierluca D'Oro |
| 2025 | ICML | Compositional Risk Minimization. | Divyat Mahajan, Mohammad Pezeshki, Charles Arnal, Ioannis Mitliagkas, Kartik Ahuja, Pascal Vincent |
| 2024 | ICLR | Motif: Intrinsic Motivation from Artificial Intelligence Feedback. | Martin Klissarov, Pierluca D'Oro, Shagun Sodhani, Roberta Raileanu, Pierre-Luc Bacon, Pascal Vincent, Amy Zhang, Mikael Henaff |
| 2024 | ICML | Stochastic positional embeddings improve masked image modeling. | Amir Bar, Florian Bordes, Assaf Shocher, Mido Assran, Pascal Vincent, Nicolas Ballas, Trevor Darrell, Amir Globerson, Yann LeCun |
| 2024 | ICML | Discovering Environments with XRM. | Mohammad Pezeshki, Diane Bouchacourt, Mark Ibrahim, Nicolas Ballas, Pascal Vincent, David Lopez-Paz |
| 2023 | CVPR | Self-Supervised Learning from Images with a Joint-Embedding Predictive Architecture. | Mahmoud Assran, Quentin Duval, Ishan Misra, Piotr Bojanowski, Pascal Vincent, Michael G. Rabbat, Yann LeCun, Nicolas Ballas |
| 2023 | ICLR | The hidden uniform cluster prior in self-supervised learning. | Mido Assran, Randall Balestriero, Quentin Duval, Florian Bordes, Ishan Misra, Piotr Bojanowski, Pascal Vincent, Michael G. Rabbat, Nicolas Ballas |
| 2023 | ICLR | ImageNet-X: Understanding Model Mistakes with Factor of Variation Annotations. | Badr Youbi Idrissi, Diane Bouchacourt, Randall Balestriero, Ivan Evtimov, Caner Hazirbas, Nicolas Ballas, Pascal Vincent, Michal Drozdzal, David Lopez-Paz, Mark Ibrahim |
| 2023 | ICLR | Disentanglement of Correlated Factors via Hausdorff Factorized Support. | Karsten Roth, Mark Ibrahim, Zeynep Akata, Pascal Vincent, Diane Bouchacourt |
| 2022 | ECCV | Masked Siamese Networks for Label-Efficient Learning. | Mahmoud Assran, Mathilde Caron, Ishan Misra, Piotr Bojanowski, Florian Bordes, Pascal Vincent, Armand Joulin, Mike Rabbat, Nicolas Ballas |
| 2022 | ICLR | Understanding Dimensional Collapse in Contrastive Self-supervised Learning. | Li Jing, Pascal Vincent, Yann LeCun, Yuandong Tian |
| 2022 | ICLR | Online Adversarial Attacks. | Andjela Mladenovic, Avishek Joey Bose, Hugo Berard, William L. Hamilton, Simon Lacoste-Julien, Pascal Vincent, Gauthier Gidel |
| 2021 | AISTATS | Implicit Regularization via Neural Feature Alignment. | Aristide Baratin, Thomas George, Csar Laurent, R. Devon Hjelm, Guillaume Lajoie, Pascal Vincent, Simon Lacoste-Julien |
| 2020 | AISTATS | Stochastic Neural Network with Kronecker Flow. | Chin-Wei Huang, Ahmed Touati, Pascal Vincent, Gintare Karolina Dziugaite, Alexandre Lacoste, Aaron C. Courville |
| 2020 | EMNLP | Do sequence-to-sequence VAEs learn global features of sentences? | Tom Bosc, Pascal Vincent |
| 2020 | ICLR | A Closer Look at the Optimization Landscapes of Generative Adversarial Networks. | Hugo Berard, Gauthier Gidel, Amjad Almahairi, Pascal Vincent, Simon Lacoste-Julien |
| 2020 | ICML | Stochastic Hamiltonian Gradient Methods for Smooth Games. | Nicolas Loizou, Hugo Berard, Alexia Jolicoeur-Martineau, Pascal Vincent, Simon Lacoste-Julien, Ioannis Mitliagkas |
| 2020 | IJCAI | SVRG for Policy Evaluation with Fewer Gradient Evaluations. | Zilun Peng, Ahmed Touati, Pascal Vincent, Doina Precup |
| 2020 | UAI | Stable Policy Optimization via Off-Policy Divergence Regularization. | Ahmed Touati, Amy Zhang, Joelle Pineau, Pascal Vincent |
| 2019 | CVPR | Reducing Uncertainty in Undersampled MRI Reconstruction With Active Acquisition. | Zizhao Zhang, Adriana Romero, Matthew J. Muckley, Pascal Vincent, Lin Yang, Michal Drozdzal |
| 2019 | ICLR | A Variational Inequality Perspective on Generative Adversarial Networks. | Gauthier Gidel, Hugo Berard, Gatan Vignoud, Pascal Vincent, Simon Lacoste-Julien |
| 2019 | ICML | Unreproducible Research is Reproducible. | Xavier Bouthillier, Csar Laurent, Pascal Vincent |
| 2019 | UAI | Randomized Value Functions via Multiplicative Normalizing Flows. | Ahmed Touati, Harsh Satija, Joshua Romoff, Joelle Pineau, Pascal Vincent |
| 2018 | CVPR | Improving Landmark Localization With Semi-Supervised Learning. | Sina Honari, Pavlo Molchanov, Stephen Tyree, Pascal Vincent, Christopher J. Pal, Jan Kautz |
| 2018 | EMNLP | Auto-Encoding Dictionary Definitions into Consistent Word Embeddings. | Tom Bosc, Pascal Vincent |
| 2018 | ICLR | Parametric Adversarial Divergences are Good Task Losses for Generative Modeling. | Gabriel Huang, Hugo Berard, Ahmed Touati, Gauthier Gidel, Pascal Vincent, Simon Lacoste-Julien |
| 2018 | ICLR | An Evaluation of Fisher Approximations Beyond Kronecker Factorization. | Csar Laurent, Thomas George, Xavier Bouthillier, Nicolas Ballas, Pascal Vincent |
| 2018 | ICML | Convergent TREE BACKUP and RETRACE with Function Approximation. | Ahmed Touati, Pierre-Luc Bacon, Doina Precup, Pascal Vincent |
| 2017 | CVPR | RATM: Recurrent Attentive Tracking Model. | Samira Ebrahimi Kahou, Vincent Michalski, Roland Memisevic, Christopher Joseph Pal, Pascal Vincent |
| 2017 | ICLR | Learning to Generate Samples from Noise through Infusion Training. | Florian Bordes, Sina Honari, Pascal Vincent |
| 2017 | ICLR | Recurrent Normalization Propagation. | Csar Laurent, Nicolas Ballas, Pascal Vincent |
| 2016 | CVPR | Recombinator Networks: Learning Coarse-to-Fine Feature Aggregation. | Sina Honari, Jason Yosinski, Pascal Vincent, Christopher J. Pal |
| 2013 | ICASSP | High-dimensional sequence transduction. | Nicolas Boulanger-Lewandowski, Yoshua Bengio, Pascal Vincent |
| 2013 | ICMI | Combining modality specific deep neural networks for emotion recognition in video. | Samira Ebrahimi Kahou, Christopher J. Pal, Xavier Bouthillier, Pierre Froumenty, aglar Glehre, Roland Memisevic, Pascal Vincent, Aaron C. Courville, Yoshua Bengio, Raul Chandias Ferrari, Mehdi Mirza, Sbastien Jean, Pierre Luc Carrier, Yann N. Dauphin, Nicolas Boulanger-Lewandowski, Abhishek Aggarwal, Jeremie Zumer, Pascal Lamblin, Jean-Philippe Raymond, Guillaume Desjardins, Razvan Pascanu, David Warde-Farley, Atousa Torabi, Arjun Sharma, Emmanuel Bengio, Kishore Reddy Konda, Zhenzhou Wu |
| 2013 | ICONIP | Semi Supervised Autoencoders: Better Focusing Model Capacity during Feature Extraction. | Hani Almousli, Pascal Vincent |
| 2013 | ICPRAM | Unsupervised and Transfer Learning under Uncertainty - From Object Detections to Scene Categorization. | Grgoire Mesnil, Salah Rifai, Antoine Bordes, Xavier Glorot, Yoshua Bengio, Pascal Vincent |
| 2013 | ICPRAM | Unsupervised Learning of Semantics of Object Detections for Scene Categorization. | Grgoire Mesnil, Salah Rifai, Antoine Bordes, Xavier Glorot, Yoshua Bengio, Pascal Vincent |
| 2012 | ECCV | Disentangling Factors of Variation for Facial Expression Recognition. | Salah Rifai, Yoshua Bengio, Aaron C. Courville, Pascal Vincent, Mehdi Mirza |
| 2012 | ICML | Modeling Temporal Dependencies in High-Dimensional Sequences: Application to Polyphonic Music Generation and Transcription. | Nicolas Boulanger-Lewandowski, Yoshua Bengio, Pascal Vincent |
| 2012 | ICML | A Generative Process for Contractive Auto-Encoders. | Salah Rifai, Yann N. Dauphin, Pascal Vincent, Yoshua Bengio |
| 2011 | ICML | Contractive Auto-Encoders: Explicit Invariance During Feature Extraction. | Salah Rifai, Pascal Vincent, Xavier Muller, Xavier Glorot, Yoshua Bengio |
| 2008 | ICDM | Scoring Models for Insurance Risk Sharing Pool Opimization. | Nicolas Chapados, Charles Dugas, Pascal Vincent, Rjean Ducharme |
| 2008 | ICML | Extracting and composing robust features with denoising autoencoders. | Pascal Vincent, Hugo Larochelle, Yoshua Bengio, Pierre-Antoine Manzagol |
| 2001 | RoboCup | ROBOSIX UPMC-CFA: RoboCup Team Description. | Ryad Benosman, Francis Bras, Frederic Bach, Simon Boulay, Emmanuelle Cahn, Sylvain Come, Gilles Corduri, Jarlegan Marie Annick, Lapied Loic, Cyrille Potereau, Franck Richard, Samedi Sath, Xavier Vasseur, Pascal Vincent |
| 2000 | IJCNN | A Neural Support Vector Network Architecture with Adaptive Kernels. | Pascal Vincent, Yoshua Bengio |
| 1999 | ICIP | Color Documents on the Web with DJVU. | Patrick Haffner, Yann LeCun, Lon Bottou, Paul G. Howard, Pascal Vincent, Bill Riemers |
| 1990 | MVA | Region Tracking through Neural Classifier. | Patrick Thvenoux, Pascal Vincent |