Revisiting Early-Learning Regularization When Federated Learning Meets Noisy Labelsby Taehyeon Kim, Donggyu Kim, Se-Young YunFirst…
Examining Modality Incongruity in Multimodal Federated Learning for Medical Vision and Language-based Disease Detectionby Pramit…
Wasserstein Gradient Flows for Moreau Envelopes of f-Divergences in Reproducing Kernel Hilbert Spacesby Viktor Stein,…
NeRCC: Nested-Regression Coded Computing for Resilient Distributed Prediction Serving Systemsby Parsa Moradi, Mohammad Ali Maddah-AliFirst…
OVOR: OnePrompt with Virtual Outlier Regularization for Rehearsal-Free Class-Incremental Learningby Wei-Cheng Huang, Chun-Fu Chen, Hsiang…
Diffusion World Model: Future Modeling Beyond Step-by-Step Rollout for Offline Reinforcement Learningby Zihan Ding, Amy…
Decoding-time Realignment of Language Modelsby Tianlin Liu, Shangmin Guo, Leonardo Bianco, Daniele Calandriello, Quentin Berthet,…
Discounted Adaptive Online Learning: Towards Better Regularizationby Zhiyu Zhang, David Bombara, Heng YangFirst submitted to…
Learning from Teaching Regularization: Generalizable Correlations Should be Easy to Imitateby Can Jin, Tong Che,…
Fast and interpretable Support Vector Classification based on the truncated ANOVA decompositionby Kseniya Akhalaya, Franziska…