Stars
A curated list of resources on energy-based models.
Explicit Personalization and Local Training: Double Communication Acceleration in Federated Learning. TMLR, 2025.
A curated list of resources on federated learning, especially focusing on the theoretical perspectives.
Variance Reduced ProxSkip: Algorithm, Theory and Application to Federated Learning. NeurIPS, 2022
EF-BV: A Unified Theory of Error Feedback and Variance Reduction Mechanisms for Biased and Unbiased Compression in Distributed Optimization. NeurIPS, 2022
Exploring Hierarchical Graph Representation for Large-Scale Zero-Shot Image Classification. ECCV 2022.
WilliamYi96 / CIZSL
Forked from mhelhoseiny/CIZSLCreativity Inspired Zero-Shot Learning
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
Latest progresses (papers & datasets) of zero-shot learning.
A curated list of resources on continual zero-shot learning
This is a weather broadcast app created by William Yi!
Transplant Android 2.0 platform to Android 4.0 by using EMBV210.
My harvests, summaries and paper reading about Deep Reinforcement Learning.
My new systematic learning procedure of algorithms and Data Structures.
The design and implementation of simple computer by quartus.
My notes of learning in all aspects.
Contributer, Object Recognition by using BoF+SVM
This is all my summary and harvests of Computer Science learning.
Graph Theory Applied to Biological Network Alignment. Motivated by Professor Hayes.
A brief summary of machine learning studies.