Statistical Learning
Meta-Adapter: An Online Few-shot Learner for Vision-Language Model
The contrastive vision-language pre-training, known as CLIP, demonstrates remarkable potential in perceiving open-world visual concepts, enabling effective zero-shot image recognition.
GloptiNets: Scalable Non-Convex Optimization with Certificates
Non-convex optimization is a difficult and crucial task.
TreeDSB_Neurips_2023_FINAL
Peluchetti, S. Diffusion bridge mixture transports, Schrödinger bridge problems and generative
Fantastic Weights and How to Find Them: Where to Prune in Dynamic Sparse Training
Surprisingly, we find that most of the studied methods yield similar results.
Y ouTubePD: A Multimodal Benchmark for Parkinson's Disease Analysis Andy Zhou 1 Samuel Li
The healthcare and AI communities have witnessed a growing interest in the development of AI-assisted systems for automated diagnosis of Parkinson's Disease
Federated Learning with Manifold Regularization and Normalized Update Reaggregation
Federated Learning (FL) is an emerging collaborative machine learning framework where multiple clients train the global model without sharing their own datasets.
Supplementary Material to Bi-Level Offline Policy Optimization with Limited Exploration
The "replay" subset consists of samples