juntingzh / incremental-learning-baselinesLinks
☆11Updated 5 years ago
Alternatives and similar repositories for incremental-learning-baselines
Users that are interested in incremental-learning-baselines are comparing it to the libraries listed below
Sorting:
- ☆15Updated 3 years ago
- Lifelong Learning via Progressive Distillation and Retrospection☆14Updated 6 years ago
- This is the official repository for Batch Level Distillation (BLD)☆14Updated 4 years ago
- CVPR2021: Out-of-Distribution Detection Using Union of 1-Dimensional Subspaces☆22Updated 3 years ago
- Unofficial PyTorch implementation of the paper "Conditional Channel Gated Networks for Task-Aware Continual Learning"☆20Updated 4 years ago
- Generative Feature Replay For Class-Incremental Learning☆37Updated 5 years ago
- [ICCV2019] Attract or Distract: Exploit the Margin of Open Set☆35Updated 4 years ago
- Continual learning using variational prototype replays☆9Updated 4 years ago
- ☆61Updated 3 years ago
- A Generic Multi-classifier Paradigm forIncremental Learning☆11Updated 4 years ago
- Official Implementation of the ECCV 2022 Paper "Class-Incremental Learning with Cross-Space Clustering and Controlled Transfer"☆17Updated 2 years ago
- The official code for the NeurIPS 2021 paper Generalized Jensen-Shannon Divergence Loss for Learning with Noisy Labels (https://arxiv.org…☆22Updated 3 years ago
- Official implementation for: "Multi-Objective Interpolation Training for Robustness to Label Noise"☆39Updated 3 years ago
- ☆33Updated 4 years ago
- PyTorch implementation of Weighted Batch-Normalization layers☆37Updated 4 years ago
- ☆29Updated 3 years ago
- This is a public repository for:☆38Updated 3 years ago
- Code for CVPR2021 paper: MOOD: Multi-level Out-of-distribution Detection☆38Updated last year
- the code for paper "Energy-Based Open-World Uncertainty Modeling for Confidence Calibration"☆41Updated 3 years ago
- implement for paper Rethinking Domain Adaptation Blending target Domain Adaptation by Adversarial Meta Adaptation Network☆38Updated 6 years ago
- The Official Implementation of the ICCV-2021 Paper: Semantically Coherent Out-of-Distribution Detection.☆70Updated 3 years ago
- [CVPR 2020] Rethinking Class-Balanced Methods for Long-Tailed Visual Recognition from a Domain Adaptation Perspective☆24Updated 4 years ago
- Learning from Limited and Imperfect Data (L2ID): Classification Challenges☆18Updated 4 years ago
- This is the repo for the paper "Episodic Training for Domain Generalization" https://arxiv.org/abs/1902.00113☆57Updated last year
- Learning Robust Global Representations by Penalizing Local Predictive Power (NeurIPS 2019))☆18Updated 2 years ago
- ☆32Updated 2 years ago
- Evaluation of semi-supervised learning on challenging datasets☆36Updated 3 years ago
- ☆28Updated 3 years ago
- CDS: Cross-Domain Self-supervised Pre-training☆26Updated 3 years ago
- Code for "Out-of-Distribution Detection Using an Ensemble of Self Supervised Leave-out Classifiers"☆27Updated 3 years ago