youngjae-cho / APPLinks
Official PyTorch implementation for Make Prompts Adaptable: Bayesian Modeling for Vision-Language Prompt Learning with Data-Dependent Prior [AAAI 2024]
☆17Updated last year
Alternatives and similar repositories for APP
Users that are interested in APP are comparing it to the libraries listed below
Sorting:
- Official PyTorch implementation for Distilling Dataset into Neural Field [ICLR 2025]☆14Updated 3 months ago
- ☆13Updated 7 months ago
- ☆11Updated 6 months ago
- ☆12Updated last year
- Official repo for Discriminator Guidance.☆15Updated last year
- Official PyTorch implementation for Frequency Domain-based Dataset Distillation [NeurIPS 2023]☆30Updated last year
- About Official PyTorch implementation for Training Unbiased Diffusion Models From Biased Dataset in ICLR 2024.☆10Updated last year
- ☆10Updated 6 months ago
- ☆10Updated 6 months ago
- Unknown-Aware Domain Adversarial Learning for Open-Set Domain Adaptation (UADAL) [NeurIPS 2022]☆12Updated last year
- Official PyTorch implementation For Sharpness-Aware Active Learning [ICML 2023]☆11Updated last year
- ☆13Updated 6 months ago
- (Official) PyTorch implementation for Trajectory-Class-Aware Multi-Agent Reinforcement Learning (ICLR 2025)☆19Updated 3 months ago
- Official PyTorch implementation of "Loss-Curvature Matching for Dataset Selection and Condensation" (AISTATS 2023)☆21Updated 2 years ago
- Official PyTorch implementation for Label-Noise Robust Diffusion Models (TDSM) in ICLR 2024.☆13Updated last year
- (Official) PyTorch implementation for Efficient Episodic Memory Utilization of Cooperative Multi-Agent Reinforcement Learning (EMU) in IC…☆11Updated last year
- [ICLR 2025 Spotlight] Official PyTorch implementation for Diffusion Bridge AutoEncoders for Unsupervised Representation Learning (DBAE).☆28Updated 3 months ago
- Official PyTorch implementation for Diffusion Rejection Sampling (DiffRS) in ICML 2024.☆20Updated 7 months ago
- ☆25Updated last year
- Look-Ahead Data Acquisition via Augmentation for Deep Active Learning (NeurIPS 2021)☆15Updated last year
- Official PyTorch Implementation of "Self-Guided Generation of Minority Samples Using Diffusion Models" (ECCV 2024)☆13Updated last month
- ☆32Updated 8 months ago
- Official PyTorch implementation for Maximum Likelihood Training of Implicit Nonlinear Diffusion Model (INDM) in NeurIPS 2022.☆40Updated last year
- Code for "BECoTTA: Input-dependent Online Blending of Experts for Continual Test-time Adaptation [ICML2024]".☆42Updated last year
- ☆16Updated 9 months ago
- [ICLR'24] Official code for "C-TPT: Calibrated Test-Time Prompt Tuning for Vision-Language Models via Text Feature Dispersion"☆16Updated last year
- Official code of "Generating Instance-level Prompts for Rehearsal-free Continual Learning (ICCV 2023)"☆42Updated last year
- The official PyTorch Implementation of "NOTE: Robust Continual Test-time Adaptation Against Temporal Correlation (NeurIPS '22)"☆46Updated last year
- This is the official PyTorch Implementation of "SoTTA: Robust Test-Time Adaptation on Noisy Data Streams (NeurIPS '23)" by Taesik Gong*, …☆22Updated last year
- Official Implementation of FedRCL (CVPR 2024)☆23Updated last year