Guang000 / Awesome-Dataset-DistillationLinks
A curated list of awesome papers on dataset distillation and related applications.
☆1,763Updated last week
Alternatives and similar repositories for Awesome-Dataset-Distillation
Users that are interested in Awesome-Dataset-Distillation are comparing it to the libraries listed below
Sorting:
- Dataset Condensation (ICLR21 and ICML21)☆522Updated last year
- Collection of awesome test-time (domain/batch/instance) adaptation methods☆1,057Updated last month
- Official code for our CVPR '22 paper "Dataset Distillation by Matching Training Trajectories"☆428Updated last year
- ❄️🔥 Visual Prompt Tuning [ECCV 2022] https://arxiv.org/abs/2203.12119☆1,150Updated last year
- Some Conferences' accepted paper lists (including AI, ML, Robotic)☆1,263Updated 7 months ago
- A curated list of prompt-based paper in computer vision and vision-language learning.☆922Updated last year
- A collection of literature after or concurrent with Masked Autoencoder (MAE) (Kaiming He el al.).☆849Updated last year
- Prompt Learning for Vision-Language Models (IJCV'22, CVPR'22)☆2,038Updated last year
- 关于domain generalization,domain adaptation,causality,robutness,prompt,optimization,generative model各式各样研究的阅读笔记☆1,230Updated last year
- Open-source code for paper "Dataset Distillation"☆811Updated 2 months ago
- Awesome Machine Unlearning (A Survey of Machine Unlearning)☆867Updated this week
- 2024 up-to-date list of DATASETS, CODEBASES and PAPERS on Multi-Task Learning (MTL), from Machine Learning perspective.☆781Updated 2 months ago
- A Comprehensive Survey of Forgetting in Deep Learning Beyond Continual Learning. TPAMI, 2024.☆318Updated 2 weeks ago
- A PyTorch toolbox for domain generalization, domain adaptation and semi-supervised learning.☆1,357Updated last year
- The official implementation of [CVPR2022] Decoupled Knowledge Distillation https://arxiv.org/abs/2203.08679 and [ICCV2023] DOT: A Distill…☆867Updated last year
- CVPR and NeurIPS poster examples and templates. May we have in-person poster session soon!☆1,740Updated 2 years ago
- A collection of parameter-efficient transfer learning papers focusing on computer vision and multimodal domains.☆406Updated 11 months ago
- A collection of papers on the topic of ``Computer Vision in the Wild (CVinW)''☆1,324Updated last year
- A comprehensive list of awesome contrastive self-supervised learning papers.☆1,286Updated 11 months ago
- Diffusion model papers, survey, and taxonomy☆3,238Updated 2 months ago
- A collection of AWESOME things about mixture-of-experts☆1,192Updated 8 months ago
- Existing Literature about Machine Unlearning☆897Updated last month
- An Extendible (General) Continual Learning Framework based on Pytorch - official codebase of Dark Experience for General Continual Learni…☆722Updated last week
- Test-time Adaptation, Test-time Training and Source-free Domain Adaptation☆510Updated last year
- [ICLR 2020] Contrastive Representation Distillation (CRD), and benchmark of recent knowledge distillation methods☆2,367Updated last year
- Code for coreset selection methods☆240Updated 2 years ago
- Code for ALBEF: a new vision-language pre-training method☆1,693Updated 2 years ago
- A curated, but incomplete, list of data-centric AI resources.☆1,121Updated last year
- Benchmarking Generalized Out-of-Distribution Detection☆982Updated 3 weeks ago
- Awesome Knowledge-Distillation. 分类整理的知识蒸馏paper(2014-2021)。☆2,623Updated 2 years ago