Summary of An Embedding Is Worth a Thousand Noisy Labels, by Francesco Di Salvo and Sebastian Doerrich and Ines Rieger and Christian Ledig
An Embedding is Worth a Thousand Noisy Labelsby Francesco Di Salvo, Sebastian Doerrich, Ines Rieger,…
Summary of Dual-cba: Improving Online Continual Learning Via Dual Continual Bias Adaptors From a Bi-level Optimization Perspective, by Quanziang Wang et al.
Dual-CBA: Improving Online Continual Learning via Dual Continual Bias Adaptors from a Bi-level Optimization Perspectiveby…
Summary of Theoretical Proportion Label Perturbation For Learning From Label Proportions in Large Bags, by Shunsuke Kubo et al.
Theoretical Proportion Label Perturbation for Learning from Label Proportions in Large Bagsby Shunsuke Kubo, Shinnosuke…
Summary of 2d-malafide: Adversarial Attacks Against Face Deepfake Detection Systems, by Chiara Galdi et al.
2D-Malafide: Adversarial Attacks Against Face Deepfake Detection Systemsby Chiara Galdi, Michele Panariello, Massimiliano Todisco, Nicholas…
Summary of Exploring the Potential Of Large Language Models For Heterophilic Graphs, by Yuxia Wu et al.
Exploring the Potential of Large Language Models for Heterophilic Graphsby Yuxia Wu, Shujie Li, Yuan…
Summary of A Prototype-based Model For Set Classification, by Mohammad Mohammadi and Sreejita Ghosh
A prototype-based model for set classificationby Mohammad Mohammadi, Sreejita GhoshFirst submitted to arxiv on: 25…
Summary of Rocp-gnn: Robust Conformal Prediction For Graph Neural Networks in Node-classification, by S. Akansha
RoCP-GNN: Robust Conformal Prediction for Graph Neural Networks in Node-Classificationby S. AkanshaFirst submitted to arxiv…
Summary of Time Series Analysis For Education: Methods, Applications, and Future Directions, by Shengzhong Mao et al.
Time Series Analysis for Education: Methods, Applications, and Future Directionsby Shengzhong Mao, Chaoli Zhang, Yichi…
Summary of Hierarchical Network Fusion For Multi-modal Electron Micrograph Representation Learning with Foundational Large Language Models, by Sakhinana Sagar Srinivas et al.
Hierarchical Network Fusion for Multi-Modal Electron Micrograph Representation Learning with Foundational Large Language Modelsby Sakhinana…
Summary of Sea: Semantic Adversarial Augmentation For Last Layer Features From Unsupervised Representation Learning, by Qi Qian et al.
SeA: Semantic Adversarial Augmentation for Last Layer Features from Unsupervised Representation Learningby Qi Qian, Yuanhong…