Summary of Improving the Training Of Rectified Flows, by Sangyun Lee et al.
Improving the Training of Rectified Flowsby Sangyun Lee, Zinan Lin, Giulia FantiFirst submitted to arxiv…
Improving the Training of Rectified Flowsby Sangyun Lee, Zinan Lin, Giulia FantiFirst submitted to arxiv…
Forward-Backward Knowledge Distillation for Continual Clusteringby Mohammadreza Sadeghi, Zihan Wang, Narges ArmanfardFirst submitted to arxiv…
P4: Towards private, personalized, and Peer-to-Peer learningby Mohammad Mahdi Maheri, Sandra Siby, Sina Abdollahi, Anastasia…
Data-Free Federated Class Incremental Learning with Diffusion-Based Generative Memoryby Naibo Wang, Yuchen Deng, Wenjie Feng,…
Semantic Objective Functions: A distribution-aware method for adding logical constraints in deep learningby Miguel Angel…
Harnessing Increased Client Participation with Cohort-Parallel Federated Learningby Akash Dhasade, Anne-Marie Kermarrec, Tuan-Anh Nguyen, Rafael…
AdaGMLP: AdaBoosting GNN-to-MLP Knowledge Distillationby Weigang Lu, Ziyu Guan, Wei Zhao, Yaming YangFirst submitted to…
Exploring Dark Knowledge under Various Teacher Capacities and Addressing Capacity Mismatchby Xin-Chun Li, Wen-Shu Fan,…
GeoMask3D: Geometrically Informed Mask Selection for Self-Supervised Point Cloud Learning in 3Dby Ali Bahri, Moslem…
Federated Learning for Time-Series Healthcare Sensing with Incomplete Modalitiesby Adiba Orzikulova, Jaehyun Kwak, Jaemin Shin,…