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Eugene Belilovsky

  1. Simple and Scalable Strategies to Continually Pre-train Large Language Models
    2024/03/13 by Adam Ibrahim, Benjamin Thérien, Ibrahim, Adam +14 · 3 voices · 22 citations
    Computer Science · #Natural Language Processing Techniques #Topic Modeling #cs.AI #cs.CL #cs.LG
  2. New Insights on Reducing Abrupt Representation Change in Online Continual Learning
    2022/03/08 by Lucas Caccia, Caccia, Lucas, Rahaf Aljundi +9 · 26 citations
    Computer Science · Decision Sciences · #Advanced Bandit Algorithms Research #Artificial Intelligence (cs.AI) #Data Stream Mining Techniques #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG)
  3. Kymatio: Scattering Transforms in Python
    2018/12/28 by Mathieu Andreux, Tomás Angles, Andreux, Mathieu +33 · 1 voice · 3 citations
    #cs.LG #cs.CV #cs.SD #eess.AS #stat.ML
  4. Model Breadcrumbs: Scaling Multi-Task Model Merging with Sparse Masks
    2023/12/11 by MohammadReza Davari, Eugene Belilovsky, Davari, MohammadReza +1 · 21 citations
    Computer Science · #Adversarial Robustness in Machine Learning #Machine Learning and Data Classification #Anomaly Detection Techniques and Applications
  5. Greedy Layerwise Learning Can Scale to ImageNet
    2018/12/29 by Eugene Belilovsky, Belilovsky, Eugene, Michael Eickenberg +3 · 9 citations
    Computer Science · #Advanced Neural Network Applications #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and ELM
  6. Overcoming the Communication-Performance Tradeoff in LLM Pretraining
    2025/08/21 by Amir Sarfi, Benjamin Thérien, Benjamin Therien +6 · 4 voices · 4 citations
    Computer Science · #Advanced Neural Network Applications #Speech Recognition and Synthesis #Topic Modeling #cs.LG
  7. Reliability of CKA as a Similarity Measure in Deep Learning
    2022/10/28 by MohammadReza Davari, Stefan Horoi, Davari, MohammadReza +9 · 7 citations
    Biochemistry, Genetics and Molecular Biology · Computer Science · #Anomaly Detection Techniques and Applications #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning in Bioinformatics #Topic Modeling
  8. Towards Scaling Difference Target Propagation by Learning Backprop Targets
    2022/01/31 by Maxence Ernoult, Ernoult, Maxence, Fabrice Normandin +13 · 6 citations
    Computer Science · Engineering · Neuroscience · #Advanced Memory and Neural Computing #FOS: Computer and information sciences #Neural Networks and Applications #Neural and Evolutionary Computing (cs.NE) #Neural dynamics and brain function
  9. Probing Representation Forgetting in Supervised and Unsupervised Continual Learning
    2022/03/24 by MohammadReza Davari, Davari, MohammadReza, Nader Asadi +7 · 5 citations
    Computer Science · #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Multimodal Machine Learning Applications
  10. MuLoCo: Muon is a practical inner optimizer for DiLoCo
    2025/05/29 by Benjamin Therien, Xiaolong Huang, Thérien, Benjamin +6 · 9 citations
    Computer Science · Materials Science · #Big Data and Digital Economy #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning in Materials Science #Topic Modeling
  11. Covenant-72B: Pre-Training a 72B LLM with Trustless Peers Over-the-Internet
    2026/03/09 by Joel Lidin, Amir Sarfi, Erfan Miahi +6 · 2 voices · 1 citation
    #cs.DC #cs.LG
  12. Decoupled Greedy Learning of CNNs
    2019/01/23 by Eugene Belilovsky, Michael Eickenberg, Belilovsky, Eugene +3 · 1 citation
    Computer Science · #Advanced Neural Network Applications #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Face and Expression Recognition #Human Pose and Action Recognition #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Neural Networks and Applications #Stochastic Gradient Optimization Techniques
  13. VideoNavQA: Bridging the Gap between Visual and Embodied Question Answering
    2019/08/14 by Cătălina Cangea, Cangea, Cătălina, Eugene Belilovsky +5 · 1 citation
    Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Human Pose and Action Recognition #Machine Learning (cs.LG) #Multimodal Machine Learning Applications #Video Analysis and Summarization
  14. Graph Density-Aware Losses for Novel Compositions in Scene Graph Generation
    2020/05/17 by B. A. Knyazev, Harm de Vries, Knyazev, Boris +9 · 1 citation
    Computer Science · #Advanced Image and Video Retrieval Techniques #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Multimodal Machine Learning Applications #Topic Modeling
  15. Parametric Scattering Networks
    2021/07/20 by Shanel Gauthier, Gauthier, Shanel, Benjamin Therien +13 · 1 citation
    Computer Science · #F.2.2 #FOS: Computer and information sciences #FOS: Electrical engineering #Face and Expression Recognition #I.2.7 #Image and Signal Denoising Methods #Machine Learning (cs.LG) #Optical measurement and interference techniques #Signal Processing (eess.SP) #electronic engineering #information engineering
  16. Understanding and Exploiting Weight Update Sparsity for Communication-Efficient Distributed RL
    2026/02/03 by Erfan Miahi, Eugene Belilovsky · 1 voice
    Computer Science · #cs.LG
  17. Accelerating Training with Neuron Interaction and Nowcasting Networks
    2024/09/06 by B. A. Knyazev, Knyazev, Boris, Abhinav Moudgil +7 · 2 citations
    Computer Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Neural Networks and Applications
  18. Beyond Cosine Decay: On the effectiveness of Infinite Learning Rate Schedule for Continual Pre-training
    2025/03/04 by Vaibhav Singh, Paul Janson, Singh, Vaibhav +11 · 3 citations
    Computer Science · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Algorithms
  19. DragD3D: Realistic Mesh Editing with Rigidity Control Driven by 2D Diffusion Priors
    2023/10/06 by Tianhao Xie, Xie, Tianhao, Eugene Belilovsky +5 · 1 citation
    Computer Science · Engineering · #3D Shape Modeling and Analysis #Advanced Vision and Imaging #Computer Graphics and Visualization Techniques #FOS: Computer and information sciences #Graphics (cs.GR) #Machine Learning (cs.LG)
  20. AdaFisher: Adaptive Second Order Optimization via Fisher Information
    2024/05/26 by Damien Martins Gomes, Yanlei Zhang, Gomes, Damien Martins +7 · 1 citation
    Computer Science · #Neural Networks and Applications #Metaheuristic Optimization Algorithms Research
  21. Stabilizing Native Low-Rank LLM Pretraining
    2026/02/12 by Paul Janson, Edouard Oyallon, Eugene Belilovsky · 2 citations
    #cs.LG