Summary of Unicl: a Universal Contrastive Learning Framework For Large Time Series Models, by Jiawei Li et al.
UniCL: A Universal Contrastive Learning Framework for Large Time Series Modelsby Jiawei Li, Jingshu Peng,…
Summary of Harnessing Collective Structure Knowledge in Data Augmentation For Graph Neural Networks, by Rongrong Ma et al.
Harnessing Collective Structure Knowledge in Data Augmentation for Graph Neural Networksby Rongrong Ma, Guansong Pang,…
Summary of Two-phase Dynamics Of Interactions Explains the Starting Point Of a Dnn Learning Over-fitted Features, by Junpeng Zhang et al.
Two-Phase Dynamics of Interactions Explains the Starting Point of a DNN Learning Over-Fitted Featuresby Junpeng…
Summary of A Finite-sample Generalization Bound For Stable Lpv Systems, by Daniel Racz et al.
A finite-sample generalization bound for stable LPV systemsby Daniel Racz, Martin Gonzalez, Mihaly Petreczky, Andras…
Summary of Harmonizing Generalization and Personalization in Federated Prompt Learning, by Tianyu Cui et al.
Harmonizing Generalization and Personalization in Federated Prompt Learningby Tianyu Cui, Hongxia Li, Jingya Wang, Ye…
Summary of Densely Distilling Cumulative Knowledge For Continual Learning, by Zenglin Shi et al.
Densely Distilling Cumulative Knowledge for Continual Learningby Zenglin Shi, Pei Liu, Tong Su, Yunpeng Wu,…
Summary of Mgser-sam: Memory-guided Soft Experience Replay with Sharpness-aware Optimization For Enhanced Continual Learning, by Xingyu Li and Bo Tang
MGSER-SAM: Memory-Guided Soft Experience Replay with Sharpness-Aware Optimization for Enhanced Continual Learningby Xingyu Li, Bo…
Summary of A Comprehensive Survey on Data Augmentation, by Zaitian Wang et al.
A Comprehensive Survey on Data Augmentationby Zaitian Wang, Pengfei Wang, Kunpeng Liu, Pengyang Wang, Yanjie…
Summary of Response Matching For Generating Materials and Molecules, by Bingqing Cheng
Response Matching for generating materials and moleculesby Bingqing ChengFirst submitted to arxiv on: 15 May…
Summary of Tight Bounds For Online Convex Optimization with Adversarial Constraints, by Abhishek Sinha and Rahul Vaze
Tight Bounds for Online Convex Optimization with Adversarial Constraintsby Abhishek Sinha, Rahul VazeFirst submitted to…