Summary of Multi-layer Learnable Attention Mask For Multimodal Tasks, by Wayner Barrios and Souyoung Jin
Multi-layer Learnable Attention Mask for Multimodal Tasksby Wayner Barrios, SouYoung JinFirst submitted to arxiv on:…
Summary of Pefad: a Parameter-efficient Federated Framework For Time Series Anomaly Detection, by Ronghui Xu et al.
PeFAD: A Parameter-Efficient Federated Framework for Time Series Anomaly Detectionby Ronghui Xu, Hao Miao, Senzhang…
Summary of Smcl: Saliency Masked Contrastive Learning For Long-tailed Recognition, by Sanglee Park et al.
SMCL: Saliency Masked Contrastive Learning for Long-tailed Recognitionby Sanglee Park, Seung-won Hwang, Jungmin SoFirst submitted…
Summary of Cr-utp: Certified Robustness Against Universal Text Perturbations on Large Language Models, by Qian Lou et al.
CR-UTP: Certified Robustness against Universal Text Perturbations on Large Language Modelsby Qian Lou, Xin Liang,…
Summary of Sparser, Better, Deeper, Stronger: Improving Sparse Training with Exact Orthogonal Initialization, by Aleksandra Irena Nowak et al.
Sparser, Better, Deeper, Stronger: Improving Sparse Training with Exact Orthogonal Initializationby Aleksandra Irena Nowak, Łukasz…
Summary of Simsam: Zero-shot Medical Image Segmentation Via Simulated Interaction, by Benjamin Towle et al.
SimSAM: Zero-shot Medical Image Segmentation via Simulated Interactionby Benjamin Towle, Xin Chen, Ke ZhouFirst submitted…
Summary of Harmodt: Harmony Multi-task Decision Transformer For Offline Reinforcement Learning, by Shengchao Hu et al.
HarmoDT: Harmony Multi-Task Decision Transformer for Offline Reinforcement Learningby Shengchao Hu, Ziqing Fan, Li Shen,…
Summary of Anyfit: Controllable Virtual Try-on For Any Combination Of Attire Across Any Scenario, by Yuhan Li et al.
AnyFit: Controllable Virtual Try-on for Any Combination of Attire Across Any Scenarioby Yuhan Li, Hao…
Summary of Towards Communication-efficient Federated Learning Via Sparse and Aligned Adaptive Optimization, by Xiumei Deng et al.
Towards Communication-efficient Federated Learning via Sparse and Aligned Adaptive Optimizationby Xiumei Deng, Jun Li, Kang…
Summary of Emr-merging: Tuning-free High-performance Model Merging, by Chenyu Huang et al.
EMR-Merging: Tuning-Free High-Performance Model Mergingby Chenyu Huang, Peng Ye, Tao Chen, Tong He, Xiangyu Yue,…