kaiwang960112 / CAFELinks
This is a method of dataset condensation, and it has been accepted by CVPR-2022.
☆71Updated last year
Alternatives and similar repositories for CAFE
Users that are interested in CAFE are comparing it to the libraries listed below
Sorting:
- Distilling Dataset into Generative Models☆54Updated 2 years ago
- Efficient Dataset Distillation by Representative Matching☆112Updated last year
- [ICLR 2023 Spotlight] Divide to Adapt: Mitigating Confirmation Bias for Domain Adaptation of Black-Box Predictors☆39Updated 2 years ago
- This code accompanies the paper "Parameter-free Online Test-time Adaptation".☆76Updated 3 years ago
- Official PyTorch implementation of "Dataset Condensation via Efficient Synthetic-Data Parameterization" (ICML'22)☆113Updated last year
- PyTorch implementation of paper "Dataset Distillation via Factorization" in NeurIPS 2022.☆66Updated 2 years ago
- ☆87Updated 2 years ago
- [ECCV 2022] A generalized long-tailed challenge that incorporates both the conventional class-wise imbalance and the overlooked attribute…☆125Updated last year
- PyTorch implementation of our Adam-NSCL algorithm from our CVPR2021 (oral) paper "Training Networks in Null Space for Continual Learning"☆64Updated 4 years ago
- [CVPR23] "Understanding and Improving Visual Prompting: A Label-Mapping Perspective" by Aochuan Chen, Yuguang Yao, Pin-Yu Chen, Yihua Zha…☆53Updated 2 years ago
- The code of the paper "Minimizing the Accumulated Trajectory Error to Improve Dataset Distillation" (CVPR2023)☆40Updated 2 years ago
- ☆67Updated 2 years ago
- This repository is the official Pytorch implementation of Self-Supervised Aggregation of Diverse Experts for Test-Agnostic Long-Tailed Re…☆164Updated 2 years ago
- [ICCV 2023] DataDAM: Efficient Dataset Distillation with Attention Matching☆34Updated last year
- Official repo for PAC-Bayes Information Bottleneck. ICLR 2022.☆49Updated 3 years ago
- Official Implementation of CVPR 2022 paper: "Mimicking the Oracle: An Initial Phase Decorrelation Approach for Class Incremental Learning…☆34Updated 2 years ago
- ReSSL: Relational Self-Supervised Learning with Weak Augmentation☆58Updated 3 years ago
- Code for ICML 2022 paper — Efficient Test-Time Model Adaptation without Forgetting☆128Updated 2 years ago
- [ CVPR 2021 Oral ] Pytorch implementation for "Adversarial Robustness under Long-Tailed Distribution"☆102Updated 4 years ago
- ☆58Updated 8 months ago
- ☆115Updated 2 years ago
- Official repository of "Back to Source: Diffusion-Driven Test-Time Adaptation"☆81Updated last year
- This codebase is the official implementation of Test-Time Classifier Adjustment Module for Model-Agnostic Domain Generalization (NeurIPS2…☆101Updated 3 years ago
- [CVPR 2021] MetaSAug: Meta Semantic Augmentation for Long-Tailed Visual Recognition☆61Updated 2 years ago
- (NeurIPS 2023 spotlight) Large-scale Dataset Distillation/Condensation, 50 IPC (Images Per Class) achieves the highest 60.8% on original …☆129Updated 10 months ago
- NeurIPS'2020: Part-dependent Label Noise: Towards Instance-dependent Label Noise☆59Updated 4 years ago
- [NeurIPS] TTT++: When Does Self-supervised Test-time Training Fail or Thrive?☆70Updated 3 years ago
- Improving Calibration for Long-Tailed Recognition (CVPR2021)☆149Updated 3 years ago
- Code for ICLR 2023 paper (Oral) — Towards Stable Test-Time Adaptation in Dynamic Wild World☆191Updated 2 years ago
- VL-LTR: Learning Class-wise Visual-Linguistic Representation for Long-Tailed Visual Recognition☆68Updated 2 years ago