Eugene Belilovsky
Concordia University
H-index: 21
North America-Canada
Top articles of Eugene Belilovsky
Title | Journal | Author(s) | Publication Date |
|---|---|---|---|
Adversarial attacks on the interpretation of neuron activation maximization | Proceedings of the AAAI Conference on Artificial Intelligence | Geraldin Nanfack Alexander Fulleringer Jonathan Marty Michael Eickenberg Eugene Belilovsky | 2024/3/24 |
Simple and Scalable Strategies to Continually Pre-train Large Language Models | arXiv preprint arXiv:2403.08763 | Adam Ibrahim Benjamin Thérien Kshitij Gupta Mats L Richter Quentin Anthony | 2024/3/13 |
Channel-Selective Normalization for Label-Shift Robust Test-Time Adaptation | arXiv preprint arXiv:2402.04958 | Pedro Vianna Muawiz Chaudhary Paria Mehrbod An Tang Guy Cloutier | 2024/2/7 |
Re-weighted softmax cross-entropy to control forgetting in federated learning | Collas 2023 | Gwen Legate Lucas Caccia Eugene Belilovsky | 2023/4/11 |
Can We Learn Communication-Efficient Optimizers? | arXiv preprint arXiv:2312.02204 | Charles-Étienne Joseph Benjamin Thérien Abhinav Moudgil Boris Knyazev Eugene Belilovsky | 2023/12/2 |
Preventing dimensional collapse in contrastive local learning with subsampling | Louis Fournier Adeetya Patel Michael Eickenberg Edouard Oyallon Eugene Belilovsky | 2023/7/29 | |
Simulated Annealing in Early Layers Leads to Better Generalization | Amir M Sarfi Zahra Karimpour Muawiz Chaudhary Nasir M Khalid Mirco Ravanelli | 2023 | |
Learning to Optimize with Recurrent Hierarchical Transformers | Abhinav Moudgil Boris Knyazev Guillaume Lajoie Eugene Belilovsky | 2023/7/9 | |
DragD3D: Vertex-based Editing for Realistic Mesh Deformations using 2D Diffusion Priors | arXiv preprint arXiv:2310.04561 | Tianhao Xie Eugene Belilovsky Sudhir Mudur Tiberiu Popa | 2023/10/6 |
Clip-mesh: Generating textured meshes from text using pretrained image-text models | Nasir Mohammad Khalid Tianhao Xie Eugene Belilovsky Tiberiu Popa | 2022/11/29 | |
: Accelerating Asynchronous Communication in Decentralized Deep Learning | Neurips 2023 | Adel Nabli Eugene Belilovsky Edouard Oyallon | 2023/6/14 |
Comparison of radiologists and deep learning for US grading of hepatic steatosis | Radiology | Pedro Vianna Sara-Ivana Calce Pamela Boustros Cassandra Larocque-Rigney Laurent Patry-Beaudoin | 2023/10/3 |
Prototype-Sample Relation Distillation: Towards Replay-Free Continual Learning | Nader Asadi MohammadReza Davari Sudhir Mudur Rahaf Aljundi Eugene Belilovsky | 2023/7/3 | |
Can Forward Gradient Match Backpropagation? | ICML 2023 | Louis Fournier Stéphane Rivaud Eugene Belilovsky Michael Eickenberg Edouard Oyallon | 2023/6/12 |
Automated liver segmentation and steatosis grading using deep learning on B-mode ultrasound images | Pedro Vianna Merve Kulbay Pamela Boustros Sara-Ivana Calce Cassandra Larocque-Rigney | 2023/9/3 | |
Imitation from Observation With Bootstrapped Contrastive Learning | arXiv preprint arXiv:2302.06540 | Medric Sonwa Johanna Hansen Eugene Belilovsky | 2023/2/13 |
Guiding The Last Layer in Federated Learning with Pre-Trained Models | NeurIPS 2023 | Gwen Legate Nicolas Bernier Lucas Caccia Edouard Oyallon Eugene Belilovsky | 2023/6/6 |
Model breadcrumbs: Scaling multi-task model merging with sparse masks | arXiv preprint arXiv:2312.06795 | MohammadReza Davari Eugene Belilovsky | 2023/12/11 |
Continual Pre-Training of Large Language Models: How to (re) warm your model? | ICML Workshop on Efficient Foundational Models 2023 | Kshitij Gupta Benjamin Thérien Adam Ibrahim Mats L Richter Quentin Anthony | 2023/8/8 |
Reliability of CKA as a Similarity Measure in Deep Learning | arXiv preprint arXiv:2210.16156 | MohammadReza Davari Stefan Horoi Amine Natik Guillaume Lajoie Guy Wolf | 2022/10/28 |
Co-Authors
