AI$\mathsf{OPA}$: One-shot Private Aggregation with Single Client Interaction and its Applications to Federated Learning Oct 30, 2024 userComment on $\mathsf{OPA}$: One-shot Private Aggregation with Single Client Interaction and its Applications to Federated Learning Authors: Harish Karthikeyan, Antigoni Polychroniadou Abstract: Our work aims to minimize interaction in secure computation
AISVIP: Towards Verifiable Inference of Open-source Large Language Models Oct 30, 2024 userComment on SVIP: Towards Verifiable Inference of Open-source Large Language Models Authors: Yifan Sun, Yuhang Li, Yue Zhang, Yuchen Jin, Huan Zhang Abstract: Open-source Large Language
AIRobots Pre-train Robots: Manipulation-Centric Robotic Representation from Large-Scale Robot Dataset Oct 30, 2024
AIBLAST: Block-Level Adaptive Structured Matrices for Efficient Deep Neural Network Inference Oct 29, 2024 userComment on BLAST: Block-Level Adaptive Structured Matrices for Efficient Deep Neural Network Inference Authors: Changwoo Lee, Soo Min Kwon, Qing Qu, Hun-Seok Kim Abstract: Large-scale foundation models have
AILARP: Tokenizing Videos with a Learned Autoregressive Generative Prior Oct 29, 2024 userComment on LARP: Tokenizing Videos with a Learned Autoregressive Generative Prior Authors: Hanyu Wang, Saksham Suri, Yixuan Ren, Hao Chen, Abhinav Shrivastava Abstract: We present LARP,
AIEoRA: Training-free Compensation for Compressed LLM with Eigenspace Low-Rank Approximation Oct 29, 2024
AIEnhancing Action Recognition by Leveraging the Hierarchical Structure of Actions and Textual Context Oct 29, 2024
