shenxiangzhuang / lifelong
Lifelong Learning
☆21Updated 2 years ago
Alternatives and similar repositories for lifelong:
Users that are interested in lifelong are comparing it to the libraries listed below
- ☆23Updated 3 years ago
- ☆35Updated 3 years ago
- ICLR 2022 Paper submission trend analysis from https://openreview.net/group?id=ICLR.cc/2022/Conference☆86Updated 2 years ago
- The newest reading list for representation learning☆114Updated 4 years ago
- The implementation of mixup and mainfold mixup method with standard models(PreActRes, WideRes, Dense) in Cifar10, Cifar100 and SVHN datas…☆44Updated 3 years ago
- Code for the ICML 2021 paper "Bridging Multi-Task Learning and Meta-Learning: Towards Efficient Training and Effective Adaptation", Haoxi…☆68Updated 3 years ago
- Code for paper: “What Data Benefits My Classifier?” Enhancing Model Performance and Interpretability through Influence-Based Data Selecti…☆22Updated 10 months ago
- ZhiJian: A Unifying and Rapidly Deployable Toolbox for Pre-trained Model Reuse☆51Updated last year
- Machine Learning Course Materials, Tsinghua IIIS☆15Updated 6 years ago
- Code release of paper "ForkMerge: Mitigating Negative Transfer in Auxiliary-Task Learning" (NeurIPS 2023)☆14Updated last year
- This is the implementation for the NeurIPS 2022 paper: ZIN: When and How to Learn Invariance Without Environment Partition?☆22Updated 2 years ago
- This is the project for IRM methods☆12Updated 3 years ago
- 记录本校高等概率论课程笔记☆38Updated 6 years ago
- ☆9Updated 3 years ago
- ☆29Updated 2 years ago
- This repository is unmaintained, please see lumo for details.☆10Updated 2 years ago
- ☆42Updated 2 years ago
- [NeurIPS 2022] Make Sharpness-Aware Minimization Stronger: A Sparsified Perturbation Approach -- Official Implementation☆44Updated last year
- Code to reproduce experiments from 'Does Knowledge Distillation Really Work' a paper which appeared in the 2021 NeurIPS proceedings.☆33Updated last year
- [ICML 2021] The official PyTorch Implementations of Positive-Negative Momentum Optimizers.☆28Updated 2 years ago
- Code for "BayesAdapter: Being Bayesian, Inexpensively and Robustly, via Bayeisan Fine-tuning"☆31Updated 8 months ago
- All you need for MATH5411 Advanced Probability, 2020 Fall, HKUST, Lecturer BAO Zhigang.☆54Updated 4 years ago
- This repository demonstrates the application of our proposed task-free continual learning method on a synthetic experiment.☆13Updated 5 years ago
- ☆17Updated 3 years ago
- Codes for Causal Semantic Generative model (CSG), the model proposed in "Learning Causal Semantic Representation for Out-of-Distribution …☆73Updated 2 years ago
- Adjust Decision Boundary for Class Imbalanced Learning☆19Updated 4 years ago
- Code for the paper "Efficient Dataset Distillation using Random Feature Approximation"☆37Updated 2 years ago
- Class Incremental learning, Task Incremental Learning☆16Updated 2 years ago
- PyTorch implementation of "Online Hyperparameter Optimization for Class-Incremental Learning" (AAAI 2023 Oral)☆17Updated last year
- [NeurIPS'22] What Makes a "Good" Data Augmentation in Knowledge Distillation -- A Statistical Perspective☆36Updated 2 years ago