Rethinking the Starting Point: Collaborative Pre-Training for Federated Downstream Tasksby Yun-Wei Chu, Dong-Jun Han, Seyyedali…
Flexible Variational Information Bottleneck: Achieving Diverse Compression with a Single Trainingby Sota Kudo, Naoaki Ono,…
Deep Clustering Using the Soft Silhouette Score: Towards Compact and Well-Separated Clustersby Georgios Vardakas, Ioannis…
Spatial-temporal-demand clustering for solving large-scale vehicle routing problems with time windowsby Christoph Kerscher, Stefan MinnerFirst…
Convergence analysis of t-SNE as a gradient flow for point cloud on a manifoldby Seonghyeon…
Step-size Optimization for Continual Learningby Thomas Degris, Khurram Javed, Arsalan Sharifnassab, Yuxin Liu, Richard SuttonFirst…
Compositional Generative Inverse Designby Tailin Wu, Takashi Maruyama, Long Wei, Tao Zhang, Yilun Du, Gianluca…
SpacTor-T5: Pre-training T5 Models with Span Corruption and Replaced Token Detectionby Ke Ye, Heinrich Jiang,…
AutoFT: Learning an Objective for Robust Fine-Tuningby Caroline Choi, Yoonho Lee, Annie Chen, Allan Zhou,…
A Globally Convergent Algorithm for Neural Network Parameter Optimization Based on Difference-of-Convex Functionsby Daniel Tschernutter,…