Summary of Score-based Change Point Detection Via Tracking the Best Of Infinitely Many Experts, by Anna Markovich et al.
Score-based change point detection via tracking the best of infinitely many expertsby Anna Markovich, Nikita…
Summary of Estimating Causal Effects From Learned Causal Networks, by Anna Raichev et al.
Estimating Causal Effects from Learned Causal Networksby Anna Raichev, Alexander Ihler, Jin Tian, Rina DechterFirst…
Summary of Hierarchical Learning and Computing Over Space-ground Integrated Networks, by Jingyang Zhu et al.
Hierarchical Learning and Computing over Space-Ground Integrated Networksby Jingyang Zhu, Yuanming Shi, Yong Zhou, Chunxiao…
Summary of Towards Lifelong Learning Embeddings: An Algorithmic Approach to Dynamically Extend Embeddings, by Miguel Alves Gomes et al.
Towards Lifelong Learning Embeddings: An Algorithmic Approach to Dynamically Extend Embeddingsby Miguel Alves Gomes, Philipp…
Summary of Enhancing Fairness Through Reweighting: a Path to Attain the Sufficiency Rule, by Xuan Zhao and Klaus Broelemann and Salvatore Ruggieri and Gjergji Kasneci
Enhancing Fairness through Reweighting: A Path to Attain the Sufficiency Ruleby Xuan Zhao, Klaus Broelemann,…
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 Neighborhood and Global Perturbations Supported Sam in Federated Learning: From Local Tweaks to Global Awareness, by Boyuan Li et al.
Neighborhood and Global Perturbations Supported SAM in Federated Learning: From Local Tweaks To Global Awarenessby…
Summary of Tsak: Two-stage Semantic-aware Knowledge Distillation For Efficient Wearable Modality and Model Optimization in Manufacturing Lines, by Hymalai Bello et al.
TSAK: Two-Stage Semantic-Aware Knowledge Distillation for Efficient Wearable Modality and Model Optimization in Manufacturing Linesby…