Summary of Am-sam: Automated Prompting and Mask Calibration For Segment Anything Model, by Yuchen Li et al.
AM-SAM: Automated Prompting and Mask Calibration for Segment Anything Modelby Yuchen Li, Li Zhang, Youwei…
AM-SAM: Automated Prompting and Mask Calibration for Segment Anything Modelby Yuchen Li, Li Zhang, Youwei…
Meta-Reinforcement Learning with Universal Policy Adaptation: Provable Near-Optimality under All-task Optimum Comparatorby Siyuan Xu, Minghui…
Towards Stable, Globally Expressive Graph Representations with Laplacian Eigenvectorsby Junru Zhou, Cai Zhou, Xiyuan Wang,…
Gradient-Free Neural Network Training on the Edgeby Dotan Di Castro, Omkar Joglekar, Shir Kozlovsky, Vladimir…
Real-time Fuel Leakage Detection via Online Change Point Detectionby Ruimin Chu, Li Chik, Yiliao Song,…
t-READi: Transformer-Powered Robust and Efficient Multimodal Inference for Autonomous Drivingby Pengfei Hu, Yuhang Qian, Tianyue…
SimBa: Simplicity Bias for Scaling Up Parameters in Deep Reinforcement Learningby Hojoon Lee, Dongyoon Hwang,…
Comparison of Machine Learning Approaches for Classifying Spinodal Eventsby Ashwini Malviya, Sparsh MittalFirst submitted to…
BiDoRA: Bi-level Optimization-Based Weight-Decomposed Low-Rank Adaptationby Peijia Qin, Ruiyi Zhang, Pengtao XieFirst submitted to arxiv…
Targeted Vaccine: Safety Alignment for Large Language Models against Harmful Fine-Tuning via Layer-wise Perturbationby Guozhi…