Showing 1–18 of 18 results
/ Date/ Name
Mar 15, 2022Privacy-Aware Compression for Federated Data AnalysisOct 15, 2021Trade-offs of Local SGD at Scale: An Empirical StudyFeb 4, 2026Interpreting Physics in Video World ModelsMar 15, 2026V-JEPA 2.1: Unlocking Dense Features in Video Self-Supervised LearningNov 8, 2021Papaya: Practical, Private, and Scalable Federated LearningDec 6, 2024Transformers Can Navigate Mazes With Multi-Step PredictionOct 30, 2021Sustainable AI: Environmental Implications, Challenges and OpportunitiesMar 21, 2024DP-RDM: Adapting Diffusion Models to Private Domains Without Fine-TuningJun 12, 2023Benchmarking Neural Network Training AlgorithmsJun 7, 2024The Factorization Curse: Which Tokens You Predict Underlie the Reversal Curse and MoreNov 8, 2022Privacy-Aware Compression for Federated Learning Through Numerical Mechanism DesignMay 30, 2022Towards Fair Federated Recommendation Learning: Characterizing the Inter-Dependence of System and Data HeterogeneityNov 5, 2020CPR: Understanding and Improving Failure Tolerant Training for Deep Learning Recommendation with Partial RecoveryOct 9, 2019MVFST-RL: An Asynchronous RL Framework for Congestion Control with Delayed ActionsJan 13, 2021Learning with Gradient Descent and Weakly Convex LossesDec 13, 2024EvalGIM: A Library for Evaluating Generative Image ModelsOct 7, 2025Gaussian Embeddings: How JEPAs Secretly Learn Your Data DensityFeb 3, 2026A Lightweight Library for Energy-Based Joint-Embedding Predictive Architectures