Nicolas Ballas
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
35
Venues
10
Active years
2013–2025
Best venue rank
A*
Where they publish
Papers
35 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | ICCV | Scaling Language-Free Visual Representation Learning. | David Fan, Shengbang Tong, Jiachen Zhu, Koustuv Sinha, Zhuang Liu, Xinlei Chen, Michael Rabbat, Nicolas Ballas, Yann LeCun, Amir Bar, Saining Xie |
| 2025 | ICLR | VEDIT: Latent Prediction Architecture For Procedural Video Representation Learning. | Han Lin, Tushar Nagarajan, Nicolas Ballas, Mido Assran, Mojtaba Komeili, Mohit Bansal, Koustuv Sinha |
| 2025 | ICML | LOCATE 3D: Real-World Object Localization via Self-Supervised Learning in 3D. | Paul McVay, Sergio Arnaud, Ada Martin, Arjun Majumdar, Krishna Murthy Jatavallabhula, Phillip Thomas, Ruslan Partsey, Daniel Dugas, Abha Gejji, Alexander Sax, Vincent-Pierre Berges, Mikael Henaff, Ayush Jain, Ang Cao, Ishita Prasad, Mrinal Kalakrishnan, Michael Rabbat, Nicolas Ballas, Mido Assran, Oleksandr Maksymets, Aravind Rajeswaran |
| 2024 | CVPR | Jack of All Tasks, Master of Many: Designing General-purpose Coarse-to-Fine Vision-Language Model. | Shraman Pramanick, Guangxing Han, Rui Hou, Sayan Nag, Ser-Nam Lim, Nicolas Ballas, Qifan Wang, Rama Chellappa, Amjad Almahairi |
| 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 | Modeling Caption Diversity in Contrastive Vision-Language Pretraining. | Samuel Lavoie, Polina Kirichenko, Mark Ibrahim, Mido Assran, Andrew Gordon Wilson, Aaron C. Courville, Nicolas Ballas |
| 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 |
| 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 | ICPR | Cascaded Video Generation for Videos In-the-Wild. | Llus Castrejn, Nicolas Ballas, Aaron C. Courville |
| 2021 | ICCV | Semi-Supervised Learning of Visual Features by Non-Parametrically Predicting View Assignments with Support Samples. | Mahmoud Assran, Mathilde Caron, Ishan Misra, Piotr Bojanowski, Armand Joulin, Nicolas Ballas, Michael G. Rabbat |
| 2020 | ECCV | Proposal-Based Video Completion. | Yuan-Ting Hu, Heng Wang, Nicolas Ballas, Kristen Grauman, Alexander G. Schwing |
| 2020 | ICASSP | Lookahead Converges to Stationary Points of Smooth Non-convex Functions. | Jianyu Wang, Vinayak Tantia, Nicolas Ballas, Michael G. Rabbat |
| 2020 | ICLR | SlowMo: Improving Communication-Efficient Distributed SGD with Slow Momentum. | Jianyu Wang, Vinayak Tantia, Nicolas Ballas, Michael G. Rabbat |
| 2019 | ICCV | Improved Conditional VRNNs for Video Prediction. | Llus Castrejn, Nicolas Ballas, Aaron C. Courville |
| 2019 | ICLR | On the Relation Between the Sharpest Directions of DNN Loss and the SGD Step Length. | Stanislaw Jastrzebski, Zachary Kenton, Nicolas Ballas, Asja Fischer, Yoshua Bengio, Amos J. Storkey |
| 2019 | ICML | Stochastic Gradient Push for Distributed Deep Learning. | Mahmoud Assran, Nicolas Loizou, Nicolas Ballas, Michael G. Rabbat |
| 2018 | ICANN | Width of Minima Reached by Stochastic Gradient Descent is Influenced by Learning Rate to Batch Size Ratio. | Stanislaw Jastrzebski, Zachary Kenton, Devansh Arpit, Nicolas Ballas, Asja Fischer, Yoshua Bengio, Amos J. Storkey |
| 2018 | ICLR | Residual Connections Encourage Iterative Inference. | Stanislaw Jastrzebski, Devansh Arpit, Nicolas Ballas, Vikas Verma, Tong Che, Yoshua Bengio |
| 2018 | ICLR | Finding Flatter Minima with SGD. | Stanislaw Jastrzebski, Zachary Kenton, Devansh Arpit, Nicolas Ballas, Asja Fischer, Yoshua Bengio, Amos J. Storkey |
| 2018 | ICLR | An Evaluation of Fisher Approximations Beyond Kronecker Factorization. | Csar Laurent, Thomas George, Xavier Bouthillier, Nicolas Ballas, Pascal Vincent |
| 2017 | CVPR | A Dataset and Exploration of Models for Understanding Video Data through Fill-in-the-Blank Question-Answering. | Tegan Maharaj, Nicolas Ballas, Anna Rohrbach, Aaron C. Courville, Christopher Joseph Pal |
| 2017 | ICLR | Recurrent Batch Normalization. | Tim Cooijmans, Nicolas Ballas, Csar Laurent, aglar Glehre, Aaron C. Courville |
| 2017 | ICLR | Deep Nets Don't Learn via Memorization. | David Krueger, Nicolas Ballas, Stanislaw Jastrzebski, Devansh Arpit, Maxinder S. Kanwal, Tegan Maharaj, Emmanuel Bengio, Asja Fischer, Aaron C. Courville |
| 2017 | ICLR | Zoneout: Regularizing RNNs by Randomly Preserving Hidden Activations. | David Krueger, Tegan Maharaj, Jnos Kramr, Mohammad Pezeshki, Nicolas Ballas, Nan Rosemary Ke, Anirudh Goyal, Yoshua Bengio, Aaron C. Courville, Christopher J. Pal |
| 2017 | ICLR | Recurrent Normalization Propagation. | Csar Laurent, Nicolas Ballas, Pascal Vincent |
| 2017 | ICML | A Closer Look at Memorization in Deep Networks. | Devansh Arpit, Stanislaw Jastrzebski, Nicolas Ballas, David Krueger, Emmanuel Bengio, Maxinder S. Kanwal, Tegan Maharaj, Asja Fischer, Aaron C. Courville, Yoshua Bengio, Simon Lacoste-Julien |
| 2016 | BMVC | Oracle Performance for Visual Captioning. | Li Yao, Nicolas Ballas, Kyunghyun Cho, John R. Smith, Yoshua Bengio |
| 2016 | ICML | Dynamic Capacity Networks. | Amjad Almahairi, Nicolas Ballas, Tim Cooijmans, Yin Zheng, Hugo Larochelle, Aaron C. Courville |
| 2015 | ICCV | Describing Videos by Exploiting Temporal Structure. | Li Yao, Atousa Torabi, Kyunghyun Cho, Nicolas Ballas, Christopher J. Pal, Hugo Larochelle, Aaron C. Courville |
| 2015 | MMM | Large-Scale Image Mining with Flickr Groups. | Alexandru-Lucian Gnsca, Adrian Popescu, Herv Le Borgne, Nicolas Ballas, Phong Vo, Ioannis Kanellos |
| 2014 | MMM | Resource Constrained Multimedia Event Detection. | Zhen-Zhong Lan, Yi Yang, Nicolas Ballas, Shoou-I Yu, Alexander G. Hauptmann |
| 2013 | ICCV | Space-Time Robust Representation for Action Recognition. | Nicolas Ballas, Yi Yang, Zhen-Zhong Lan, Bertrand Delezoide, Franoise J. Prteux, Alexander G. Hauptmann |