Jianglin954 / Awesome-papers-in-the-fileds-of-CV-ML-PR-DMLinks
This is a collection of awesome papers I have read (carefully or roughly) in the fields of computer vision, machine learning, pattern recognition, and data mining (where the notes only represent my personal views). The collection will be continuously updated, so stay tuned. Any suggestions and comments are welcome (jianglinlu@outlook.com).
☆13Updated last year
Alternatives and similar repositories for Awesome-papers-in-the-fileds-of-CV-ML-PR-DM
Users that are interested in Awesome-papers-in-the-fileds-of-CV-ML-PR-DM are comparing it to the libraries listed below
Sorting:
- [NeurIPS 2023] Latent Graph Inference with Limited Supervision☆14Updated last year
- [TKDE 2024, CIKM 2022] SLA²P: Self-supervised Anomaly Detection with Adversarial Perturbation.☆40Updated 9 months ago
- Official repository of "Back to Source: Diffusion-Driven Test-Time Adaptation"☆82Updated last year
- [ICDM 2022] Making Reconstruction-based Method Great Again for Video Anomaly Detection (PyTorch)☆39Updated last year
- Official implementation for 'Class-Balancing Diffusion Models'☆54Updated last year
- [ICLR 2024 Oral] Less is More: Fewer Interpretable Region via Submodular Subset Selection☆82Updated 3 months ago
- [ICML2022] Contrastive Learning with Boosted Memorization☆111Updated last year
- source code for ICLR'23 paper "Non-parametric Outlier Synthesis"☆52Updated last year
- [NeurIPS 2023] Generalized Logit Adjustment☆38Updated last year
- [ICCV 2023] A Unified Continual Learning Framework with General Parameter-Efficient Tuning☆88Updated 11 months ago
- Code for ICML 2022 paper — Efficient Test-Time Model Adaptation without Forgetting☆128Updated 2 years ago
- Code for ICLR 2023 paper (Oral) — Towards Stable Test-Time Adaptation in Dynamic Wild World☆191Updated 2 years ago
- Diffusion-TTA improves pre-trained discriminative models such as image classifiers or segmentors using pre-trained generative models.☆76Updated last year
- [CVPR2024] Efficient Dataset Distillation via Minimax Diffusion☆98Updated last year
- ☆16Updated last year
- source code for NeurIPS'23 paper "Dream the Impossible: Outlier Imagination with Diffusion Models"☆70Updated 5 months ago
- This codebase is the official implementation of Test-Time Classifier Adjustment Module for Model-Agnostic Domain Generalization (NeurIPS2…☆101Updated 3 years ago
- Official code for "Complementary Experts for Long-tailed Semi-Supervised Learning" (AAAI'2024)☆22Updated last year
- Official PyTorch implementation of "Masked Images Are Counterfactual Samples for Robust Fine-tuning" (CVPR 2023)☆15Updated 2 years ago
- [ICLR 2024] ViDA: Homeostatic Visual Domain Adapter for Continual Test Time Adaptation☆68Updated last year
- [ECCV 2022] A generalized long-tailed challenge that incorporates both the conventional class-wise imbalance and the overlooked attribute…☆125Updated last year
- [NeurIPS 2023 Spotlight] Combating Representation Learning Disparity with Geometric Harmonization☆24Updated 4 months ago
- [ICCV 2023 Oral] Official Implementation of "Denoising Diffusion Autoencoders are Unified Self-supervised Learners"☆179Updated last year
- [ICLR 2024] Test-Time Adaptation with CLIP Reward for Zero-Shot Generalization in Vision-Language Models.☆91Updated last year
- Distilling Dataset into Generative Models☆54Updated 2 years ago
- Code for our ICML'24 on multimodal dataset distillation☆39Updated 11 months ago
- ☆53Updated 2 years ago
- Awesome list of Mixture-of-Experts (MoE)☆21Updated last year
- Official Implementation of LADS (Latent Augmentation using Domain descriptionS)☆52Updated 2 years ago
- CCD: Official PyTorch implementation of the paper "Contextual Debiasing for Visual Recognition with Causal Mechanisms"☆16Updated 2 years ago