Summary of Balls-and-bins Sampling For Dp-sgd, by Lynn Chua et al.
Balls-and-Bins Sampling for DP-SGDby Lynn Chua, Badih Ghazi, Charlie Harrison, Ethan Leeman, Pritish Kamath, Ravi…
Summary of Algorithm Design For Continual Learning in Iot Networks, by Shugang Hao and Lingjie Duan
Algorithm Design for Continual Learning in IoT Networksby Shugang Hao, Lingjie DuanFirst submitted to arxiv…
Summary of Learning to Generate Gradients For Test-time Adaptation Via Test-time Training Layers, by Qi Deng et al.
Learning to Generate Gradients for Test-Time Adaptation via Test-Time Training Layersby Qi Deng, Shuaicheng Niu,…
Summary of Topology-aware 3d Gaussian Splatting: Leveraging Persistent Homology For Optimized Structural Integrity, by Tianqi Shen et al.
Topology-Aware 3D Gaussian Splatting: Leveraging Persistent Homology for Optimized Structural Integrityby Tianqi Shen, Shaohua Liu,…
Summary of Correcting Large Language Model Behavior Via Influence Function, by Han Zhang et al.
Correcting Large Language Model Behavior via Influence Functionby Han Zhang, Zhuo Zhang, Yi Zhang, Yuanzhao…
Summary of High-dimensional Bayesian Optimization Via Random Projection Of Manifold Subspaces, by Quoc-anh Hoang Nguyen et al.
High-Dimensional Bayesian Optimization via Random Projection of Manifold Subspacesby Quoc-Anh Hoang Nguyen, Hung TranFirst submitted…
Summary of Learning For Cross-layer Resource Allocation in Mec-aided Cell-free Networks, by Chong Zheng et al.
Learning for Cross-Layer Resource Allocation in MEC-Aided Cell-Free Networksby Chong Zheng, Shiwen He, Yongming Huang,…
Summary of Data-driven Fairness Generalization For Deepfake Detection, by Uzoamaka Ezeakunne et al.
Data-Driven Fairness Generalization for Deepfake Detectionby Uzoamaka Ezeakunne, Chrisantus Eze, Xiuwen LiuFirst submitted to arxiv…
Summary of Defeasible Visual Entailment: Benchmark, Evaluator, and Reward-driven Optimization, by Yue Zhang et al.
Defeasible Visual Entailment: Benchmark, Evaluator, and Reward-Driven Optimizationby Yue Zhang, Liqiang Jing, Vibhav GogateFirst submitted…
Summary of Offline Reinforcement Learning For Llm Multi-step Reasoning, by Huaijie Wang et al.
Offline Reinforcement Learning for LLM Multi-Step Reasoningby Huaijie Wang, Shibo Hao, Hanze Dong, Shenao Zhang,…