Continual Learning: Less Forgetting, More OOD Generalization via Adaptive Contrastive Replayby Hossein Rezaei, Mohammad SabokrouFirst…
CHASE: Learning Convex Hull Adaptive Shift for Skeleton-based Multi-Entity Action Recognitionby Yuhang Wen, Mengyuan Liu,…
Simplicity Prevails: Rethinking Negative Preference Optimization for LLM Unlearningby Chongyu Fan, Jiancheng Liu, Licong Lin,…
Noise is All You Need: Private Second-Order Convergence of Noisy SGDby Dmitrii Avdiukhin, Michael Dinitz,…
Tri-Level Navigator: LLM-Empowered Tri-Level Learning for Time Series OOD Generalizationby Chengtao Jian, Kai Yang, Yang…
Learning a Neural Solver for Parametric PDE to Enhance Physics-Informed Methodsby Lise Le Boudec, Emmanuel…
Mitigating Time Discretization Challenges with WeatherODE: A Sandwich Physics-Driven Neural ODE for Weather Forecastingby Peiyuan…
DCP: Learning Accelerator Dataflow for Neural Network via Propagationby Peng Xu, Wenqi Shao, Mingyu Ding,…
Convex Distillation: Efficient Compression of Deep Networks via Convex Optimizationby Prateek Varshney, Mert PilanciFirst submitted…
WardropNet: Traffic Flow Predictions via Equilibrium-Augmented Learningby Kai Jungel, Dario Paccagnan, Axel Parmentier, Maximilian SchifferFirst…