Showing 1–17 of 17 results
/ Date/ Name
Mar 9, 2026Automated Tensor-Relational Decomposition for Large-Scale Sparse Tensor ComputationMay 31, 2023Auto-Differentiation of Relational Computations for Very Large Scale Machine LearningJun 1, 2023Chain-Of-Thought Prompting Under Streaming Batch: A Case StudyOct 23, 2021Federated Multiple Label Hashing (FedMLH): Communication Efficient Federated Learning on Extreme Classification TasksSep 1, 2020Tensor Relational Algebra for Machine Learning System DesignAug 4, 2019Programmable In-Network Security for Context-aware BYOD PoliciesJun 23, 2024SimCE: Simplifying Cross-Entropy Loss for Collaborative FilteringOct 3, 2024EinDecomp: Decomposition of Declaratively-Specified Machine Learning and Numerical Computations for Parallel ExecutionSep 11, 2025SEDM: Scalable Self-Evolving Distributed Memory for AgentsSep 6, 2023Federated Learning Over Images: Vertical Decompositions and Pre-Trained Backbones Are Difficult to BeatOct 4, 2019Distributed Learning of Deep Neural Networks using Independent Subnet TrainingMay 17, 2023Compress, Then Prompt: Improving Accuracy-Efficiency Trade-off of LLM Inference with Transferable PromptFeb 18, 2025COPU: Conformal Prediction for Uncertainty Quantification in Natural Language GenerationJul 23, 2025Shop-R1: Rewarding LLMs to Simulate Human Behavior in Online Shopping via Reinforcement LearningMay 25, 2024TURNIP: A "Nondeterministic" GPU Runtime with CPU RAM OffloadMay 29, 2025DOPPLER: Dual-Policy Learning for Device Assignment in Asynchronous Dataflow GraphsNov 20, 2025Multi-Agent Collaborative Reward Design for Enhancing Reasoning in Reinforcement Learning