NeurAI-Lab / DoGoLinks
This is the official repo for the CVPR 2021 L2ID paper "Distill on the Go: Online knowledge distillation in self-supervised learning"
☆12Updated 4 years ago
Alternatives and similar repositories for DoGo
Users that are interested in DoGo are comparing it to the libraries listed below
Sorting:
- Official PyTorch implementation of PS-KD☆89Updated 3 years ago
- Probabilistic lifElong Test-time Adaptation with seLf-training prior (PETAL)☆13Updated 2 years ago
- Codes for ECCV2022 paper - contrastive deep supervision☆69Updated 3 years ago
- Official repository of CVPR '22 paper "Contrastive Test-Time Adaptation"☆106Updated 3 years ago
- This codebase is the official implementation of Test-Time Classifier Adjustment Module for Model-Agnostic Domain Generalization (NeurIPS2…☆105Updated 4 years ago
- ☆30Updated 3 years ago
- An open-world scenario domain generalization code base☆27Updated 2 years ago
- On-Device Domain Generalization☆46Updated 3 years ago
- Code for the paper: "Trash to Treasure: Harvesting OOD Data with Cross-Modal Matching for Open-Set Semi-Supervised Learning"☆25Updated 4 years ago
- This code accompanies the paper "Parameter-free Online Test-time Adaptation".☆77Updated 3 years ago
- Official implementation of the paper "Masked Autoencoders are Efficient Class Incremental Learners"☆45Updated last year
- [NeurIPS-2021] Mosaicking to Distill: Knowledge Distillation from Out-of-Domain Data☆45Updated 3 years ago
- Code for ICML 2022 paper — Efficient Test-Time Model Adaptation without Forgetting☆135Updated 2 years ago
- 【ICCV 2023】Towards Instance-adaptive Inference for Federated Learning☆13Updated 10 months ago
- Repository for the paper `DASO: Distribution-Aware Semantics-Oriented Pseudo-label Imbalanced Semi-Supervised Learning'.☆73Updated 3 years ago
- [NeurIPS] TTT++: When Does Self-supervised Test-time Training Fail or Thrive?☆73Updated 3 years ago
- ☆17Updated 4 years ago
- ICLR 2023 - FedFA: Federated Feature Augmentation☆59Updated 2 years ago
- This repository is an unofficial implementation in PyTorch for Learning to Generate Novel Domains for Domain Generalization☆22Updated 4 years ago
- Official Implementation of Curriculum of Data Augmentation for Long-tailed Recognition (CUDA) (ICLR'23 Spotlight)☆23Updated 2 years ago
- [NeurIPS 2022] Revisiting Realistic Test-Time Training: Sequential Inference and Adaptation by Anchored Clustering☆49Updated 2 years ago
- The official codes of our CVPR-2023 paper: Sharpness-Aware Gradient Matching for Domain Generalization☆79Updated 2 years ago
- ☆45Updated 2 years ago
- ☆47Updated 4 years ago
- Densely Guided Knowledge Distillation using Multiple Teacher Assistants☆11Updated 4 years ago
- Pytorch implementation for "Towards Realistic Long-Tailed Semi-Supervised Learning: Consistency Is All You Need" (CVPR 2023)☆71Updated 2 years ago
- [ICLR 2023 Spotlight] Divide to Adapt: Mitigating Confirmation Bias for Domain Adaptation of Black-Box Predictors☆39Updated 2 years ago
- code for our CVPR 2022 paper "DINE: Domain Adaptation from Single and Multiple Black-box Predictors"☆82Updated last year
- Domain Generalization via Gradient Surgery☆51Updated 3 years ago
- PyTorch implementation of the paper "Trustworthy Long-Tailed Classification" (CVPR 2022)☆61Updated 2 years ago