Summary of Blackvip: Black-box Visual Prompting For Robust Transfer Learning, by Changdae Oh et al.
BlackVIP: Black-Box Visual Prompting for Robust Transfer Learningby Changdae Oh, Hyeji Hwang, Hee-young Lee, YongTaek…
Summary of Towards Understanding the Effect Of Pretraining Label Granularity, by Guan Zhe Hong et al.
Towards Understanding the Effect of Pretraining Label Granularityby Guan Zhe Hong, Yin Cui, Ariel Fuxman,…
Summary of Segmentation Of Planning Target Volume in Ct Series For Total Marrow Irradiation Using U-net, by Ricardo Coimbra Brioso et al.
Segmentation of Planning Target Volume in CT Series for Total Marrow Irradiation Using U-Netby Ricardo…
Summary of Addressing the Issue Of Stochastic Environments and Local Decision-making in Multi-objective Reinforcement Learning, by Kewen Ding
Addressing the issue of stochastic environments and local decision-making in multi-objective reinforcement learningby Kewen DingFirst…
Summary of Efficienttrain: Exploring Generalized Curriculum Learning For Training Visual Backbones, by Yulin Wang et al.
EfficientTrain: Exploring Generalized Curriculum Learning for Training Visual Backbonesby Yulin Wang, Yang Yue, Rui Lu,…
Summary of Distributionally Robust Survival Analysis: a Novel Fairness Loss Without Demographics, by Shu Hu et al.
Distributionally Robust Survival Analysis: A Novel Fairness Loss Without Demographicsby Shu Hu, George H. ChenFirst…
Summary of Linear Stability Hypothesis and Rank Stratification For Nonlinear Models, by Yaoyu Zhang et al.
Linear Stability Hypothesis and Rank Stratification for Nonlinear Modelsby Yaoyu Zhang, Zhongwang Zhang, Leyang Zhang,…
Summary of Attention-based Feature Compression For Cnn Inference Offloading in Edge Computing, by Nan Li et al.
Attention-based Feature Compression for CNN Inference Offloading in Edge Computingby Nan Li, Alexandros Iosifidis, Qi…
Summary of Optimal Sparse Regression Trees, by Rui Zhang et al.
Optimal Sparse Regression Treesby Rui Zhang, Rui Xin, Margo Seltzer, Cynthia RudinFirst submitted to arxiv…
Summary of Reinforcement Learning For Multi-truck Vehicle Routing Problems, by Joshua Levin (1) et al.
Reinforcement Learning for Multi-Truck Vehicle Routing Problemsby Joshua Levin, Randall Correll, Takanori Ide, Takafumi Suzuki,…