Summary of Distributionally Generative Augmentation For Fair Facial Attribute Classification, by Fengda Zhang et al.
Distributionally Generative Augmentation for Fair Facial Attribute Classificationby Fengda Zhang, Qianpei He, Kun Kuang, Jiashuo…
Summary of Elephants Never Forget: Testing Language Models For Memorization Of Tabular Data, by Sebastian Bordt et al.
Elephants Never Forget: Testing Language Models for Memorization of Tabular Databy Sebastian Bordt, Harsha Nori,…
Summary of Peeraid: Improving Adversarial Distillation From a Specialized Peer Tutor, by Jaewon Jung et al.
PeerAiD: Improving Adversarial Distillation from a Specialized Peer Tutorby Jaewon Jung, Hongsun Jang, Jaeyong Song,…
Summary of Unpacking Tokenization: Evaluating Text Compression and Its Correlation with Model Performance, by Omer Goldman et al.
Unpacking Tokenization: Evaluating Text Compression and its Correlation with Model Performanceby Omer Goldman, Avi Caciularu,…
Summary of Physics-guided Abnormal Trajectory Gap Detection, by Arun Sharma et al.
Physics-Guided Abnormal Trajectory Gap Detectionby Arun Sharma, Shashi ShekharFirst submitted to arxiv on: 10 Mar…
Summary of Understanding and Mitigating Human-labelling Errors in Supervised Contrastive Learning, by Zijun Long and Lipeng Zhuang and George Killick and Richard Mccreadie and Gerardo Aragon Camarasa and Paul Henderson
Understanding and Mitigating Human-Labelling Errors in Supervised Contrastive Learningby Zijun Long, Lipeng Zhuang, George Killick,…
Summary of Analysis Of Total Variation Minimization For Clustered Federated Learning, by A. Jung
Analysis of Total Variation Minimization for Clustered Federated Learningby A. JungFirst submitted to arxiv on:…
Summary of Nonparametric Automatic Differentiation Variational Inference with Spline Approximation, by Yuda Shao et al.
Nonparametric Automatic Differentiation Variational Inference with Spline Approximationby Yuda Shao, Shan Yu, Tianshu FengFirst submitted…
Summary of Optimal Policy Sparsification and Low Rank Decomposition For Deep Reinforcement Learning, by Vikram Goddla
Optimal Policy Sparsification and Low Rank Decomposition for Deep Reinforcement Learningby Vikram GoddlaFirst submitted to…
Summary of Fake or Compromised? Making Sense Of Malicious Clients in Federated Learning, by Hamid Mozaffari et al.
Fake or Compromised? Making Sense of Malicious Clients in Federated Learningby Hamid Mozaffari, Sunav Choudhary,…