Summary of Active-passive Federated Learning For Vertically Partitioned Multi-view Data, by Jiyuan Liu et al.
Active-Passive Federated Learning for Vertically Partitioned Multi-view Databy Jiyuan Liu, Xinwang Liu, Siqi Wang, Xingchen…
Summary of Curling the Dream: Contrastive Representations For World Modeling in Reinforcement Learning, by Victor Augusto Kich et al.
CURLing the Dream: Contrastive Representations for World Modeling in Reinforcement Learningby Victor Augusto Kich, Jair…
Summary of Safe Semi-supervised Contrastive Learning Using In-distribution Data As Positive Examples, by Min Gu Kwak et al.
Safe Semi-Supervised Contrastive Learning Using In-Distribution Data as Positive Examplesby Min Gu Kwak, Hyungu Kahng,…
Summary of Contrastive Learning Of Asset Embeddings From Financial Time Series, by Rian Dolphin et al.
Contrastive Learning of Asset Embeddings from Financial Time Seriesby Rian Dolphin, Barry Smyth, Ruihai DongFirst…
Summary of Distribution-aware Robust Learning From Long-tailed Data with Noisy Labels, by Jae Soon Baik et al.
Distribution-Aware Robust Learning from Long-Tailed Data with Noisy Labelsby Jae Soon Baik, In Young Yoon,…
Summary of Crmsp: a Semi-supervised Approach For Key Information Extraction with Class-rebalancing and Merged Semantic Pseudo-labeling, by Qi Zhang et al.
CRMSP: A Semi-supervised Approach for Key Information Extraction with Class-Rebalancing and Merged Semantic Pseudo-Labelingby Qi…
Summary of Out Of Spuriousity: Improving Robustness to Spurious Correlations Without Group Annotations, by Phuong Quynh Le et al.
Out of spuriousity: Improving robustness to spurious correlations without group annotationsby Phuong Quynh Le, Jörg…
Summary of Etscl: An Evidence Theory-based Supervised Contrastive Learning Framework For Multi-modal Glaucoma Grading, by Zhiyuan Yang et al.
ETSCL: An Evidence Theory-Based Supervised Contrastive Learning Framework for Multi-modal Glaucoma Gradingby Zhiyuan Yang, Bo…
Summary of Audio-visual Generalized Zero-shot Learning the Easy Way, by Shentong Mo et al.
Audio-visual Generalized Zero-shot Learning the Easy Wayby Shentong Mo, Pedro MorgadoFirst submitted to arxiv on:…
Summary of Msfusion: a Dynamic Model Splitting Approach For Resource-constrained Machines to Collaboratively Train Larger Models, by Jin Xie et al.
MSfusion: A Dynamic Model Splitting Approach for Resource-Constrained Machines to Collaboratively Train Larger Modelsby Jin…