Summary of Control-based Graph Embeddings with Data Augmentation For Contrastive Learning, by Obaid Ullah Ahmad et al.
Control-based Graph Embeddings with Data Augmentation for Contrastive Learningby Obaid Ullah Ahmad, Anwar Said, Mudassir…
Summary of Contrastive Continual Learning with Importance Sampling and Prototype-instance Relation Distillation, by Jiyong Li et al.
Contrastive Continual Learning with Importance Sampling and Prototype-Instance Relation Distillationby Jiyong Li, Dilshod Azizov, Yang…
Summary of Robust Graph Structure Learning Under Heterophily, by Xuanting Xie et al.
Robust Graph Structure Learning under Heterophilyby Xuanting Xie, Zhao Kang, Wenyu ChenFirst submitted to arxiv…
Summary of Knowledge-guided Eeg Representation Learning, by Aditya Kommineni et al.
Knowledge-guided EEG Representation Learningby Aditya Kommineni, Kleanthis Avramidis, Richard Leahy, Shrikanth NarayananFirst submitted to arxiv…
Summary of Differentially Private Representation Learning Via Image Captioning, by Tom Sander et al.
Differentially Private Representation Learning via Image Captioningby Tom Sander, Yaodong Yu, Maziar Sanjabi, Alain Durmus,…
Summary of Inf2guard: An Information-theoretic Framework For Learning Privacy-preserving Representations Against Inference Attacks, by Sayedeh Leila Noorbakhsh et al.
Inf2Guard: An Information-Theoretic Framework for Learning Privacy-Preserving Representations against Inference Attacksby Sayedeh Leila Noorbakhsh, Binghui…
Summary of Revisiting Disentanglement in Downstream Tasks: a Study on Its Necessity For Abstract Visual Reasoning, by Ruiqian Nai et al.
Revisiting Disentanglement in Downstream Tasks: A Study on Its Necessity for Abstract Visual Reasoningby Ruiqian…
Summary of Hierarchical Multi-relational Graph Representation Learning For Large-scale Prediction Of Drug-drug Interactions, by Mengying Jiang et al.
Hierarchical Multi-Relational Graph Representation Learning for Large-Scale Prediction of Drug-Drug Interactionsby Mengying Jiang, Guizhong Liu,…
Summary of Downstream Task Guided Masking Learning in Masked Autoencoders Using Multi-level Optimization, by Han Guo et al.
Downstream Task Guided Masking Learning in Masked Autoencoders Using Multi-Level Optimizationby Han Guo, Ramtin Hosseini,…
Summary of Classes Are Not Equal: An Empirical Study on Image Recognition Fairness, by Jiequan Cui et al.
Classes Are Not Equal: An Empirical Study on Image Recognition Fairnessby Jiequan Cui, Beier Zhu,…