tiger2017 / MLclfLinks
mini-imagenet and tiny-imagent dataset transformation for traditional classification task and also for the format for few-shot learning / meta-learning tasks
☆29Updated 2 years ago
Alternatives and similar repositories for MLclf
Users that are interested in MLclf are comparing it to the libraries listed below
Sorting:
- (Pytorch) Training ResNets on ImageNet-100 data☆62Updated 3 years ago
- Code for ICLR 2023 paper (Oral) — Towards Stable Test-Time Adaptation in Dynamic Wild World☆191Updated last year
- [AAAI-2022] Up to 100x Faster Data-free Knowledge Distillation☆71Updated 2 years ago
- This is a method of dataset condensation, and it has been accepted by CVPR-2022.☆70Updated last year
- ☆86Updated 2 years ago
- [IJCAI-2021] Contrastive Model Inversion for Data-Free Knowledge Distillation☆72Updated 3 years ago
- Code of Data-Free Knowledge Distillation via Feature Exchange and Activation Region Constraint☆18Updated last year
- Code for ICML 2022 paper — Efficient Test-Time Model Adaptation without Forgetting☆128Updated 2 years ago
- ICLR‘2021: Robust Early-learning: Hindering the Memorization of Noisy Labels☆77Updated 4 years ago
- Official PyTorch implementation of "Dataset Condensation via Efficient Synthetic-Data Parameterization" (ICML'22)☆113Updated last year
- [ICLR 2023] Trainable Weight Averaging: Efficient Training by Optimizing Historical Solutions☆27Updated 5 months ago
- [CVPR 2022] Official CoTTA Code for our paper Continual Test-Time Domain Adaptation☆280Updated last year
- ☆66Updated 2 years ago
- An Numpy and PyTorch Implementation of CKA-similarity with CUDA support☆91Updated 4 years ago
- This codebase is the official implementation of Test-Time Classifier Adjustment Module for Model-Agnostic Domain Generalization (NeurIPS2…☆100Updated 3 years ago
- A repository and benchmark for online test-time adaptation.☆237Updated last month
- Efficient Dataset Distillation by Representative Matching☆112Updated last year
- ☆35Updated 5 years ago
- Code for CVPR2022 paper "Not Just Selection, but Exploration: Online Class-Incremental Continual Learning via Dual View Consistency"☆26Updated 3 years ago
- Data-Free Knowledge Distillation☆21Updated 3 years ago
- [NeurIPS 2022] The official code for our NeurIPS 2022 paper "Inducing Neural Collapse in Imbalanced Learning: Do We Really Need a Learnab…☆45Updated 2 years ago
- Code for coreset selection methods☆236Updated 2 years ago
- A PyTorch implementation of Centered Kernel Alignment (CKA) with GPU acceleration.☆51Updated last year
- Paper of out of distribution detection and generalization☆56Updated last year
- Official [ICLR] Code Repository for "Gradient Projection Memory for Continual Learning"☆93Updated 4 years ago
- [ECCV 2022] A generalized long-tailed challenge that incorporates both the conventional class-wise imbalance and the overlooked attribute…☆126Updated 11 months ago
- Official implementation of "When Adversarial Training Meets Vision Transformers: Recipes from Training to Architecture" published at Neur…☆33Updated 9 months ago
- PyTorch implementation of CIDER (How to exploit hyperspherical embeddings for out-of-distribution detection), ICLR 2023☆61Updated last year
- PyTorch implementation of our Adam-NSCL algorithm from our CVPR2021 (oral) paper "Training Networks in Null Space for Continual Learning"☆62Updated 3 years ago
- PyTorch custom dataset APIs -- CUB-200-2011, Stanford Dogs, Stanford Cars, FGVC Aircraft, NABirds, Tiny ImageNet, iNaturalist2017☆157Updated 2 years ago