ejkim47 / prob-cbm
Official code for "Probabilistic Concept Bottleneck Models (ICML 2023)"
☆17Updated last year
Alternatives and similar repositories for prob-cbm:
Users that are interested in prob-cbm are comparing it to the libraries listed below
- Learning Bottleneck Concepts in Image Classification (CVPR 2023)☆35Updated last year
- This is the official implementation of the Concept Discovery Models paper.☆13Updated last year
- ☆51Updated last year
- ProtoPFormer: Concentrating on Prototypical Parts in Vision Transformers for Interpretable Image Recognition☆34Updated 2 years ago
- Model calibration in CLIP Adapters☆14Updated 5 months ago
- ☆15Updated 2 years ago
- [TMLR'24] This repository includes the official implementation our paper "Unleashing the Power of Visual Prompting At the Pixel Level"☆38Updated 9 months ago
- Official PyTorch implementation of "Masked Images Are Counterfactual Samples for Robust Fine-tuning" (CVPR 2023)☆15Updated last year
- [CVPR'24] Validation-free few-shot adaptation of CLIP, using a well-initialized Linear Probe (ZSLP) and class-adaptive constraints (CLAP)…☆66Updated 8 months ago
- An open-world scenario domain generalization code base☆25Updated last year
- Test-time adaptation via Nearest neighbor information (TAST), submitted to ICLR'23☆22Updated last year
- ☆29Updated 3 months ago
- Official Implementation of LADS (Latent Augmentation using Domain descriptionS)☆49Updated last year
- 【ICCV 2023】Diverse Data Augmentation with Diffusions for Effective Test-time Prompt Tuning & 【IJCV 2025】Diffusion-Enhanced Test-time Adap…☆60Updated last month
- [ICCV 2023] Bayesian Prompt Learning for Image-Language Model Generalization☆30Updated last year
- Official code of "Generating Instance-level Prompts for Rehearsal-free Continual Learning (ICCV 2023)"☆41Updated last year
- About Code Release for "CLIPood: Generalizing CLIP to Out-of-Distributions" (ICML 2023), https://arxiv.org/abs/2302.00864☆63Updated last year
- Official code for "Understanding and Mitigating Overfitting in Prompt Tuning for Vision-Language Models" (TCSVT'2023)☆27Updated last year
- Code for the ICLR2022 paper on Subspace Regularization for few-shot class incremental image classification☆28Updated last year
- ICCV2021 paper: Interpretable Image Recognition by Constructing Transparent Embedding Space (TesNet)☆22Updated 2 years ago
- 🔥 🔥 [ECCV 2024 Oral ] Official code for "Weighted Ensemble Models Are Strong Continual Learners"☆21Updated 3 weeks ago
- [CVPR 2024] Official Repository for "Efficient Test-Time Adaptation of Vision-Language Models"☆75Updated 7 months ago
- CVPR 2023: Language in a Bottle: Language Model Guided Concept Bottlenecks for Interpretable Image Classification☆86Updated 8 months ago
- Official PyTorch implementation of CVPRW 2022 paper "Attention Consistency on Visual Corruptions for Single-Source Domain Generalization"☆29Updated last year
- [CVPR23] "Understanding and Improving Visual Prompting: A Label-Mapping Perspective" by Aochuan Chen, Yuguang Yao, Pin-Yu Chen, Yihua Zha…☆52Updated last year
- [CVPR 2023] TeSLA: Test-Time Self-Learning With Automatic Adversarial Augmentation☆22Updated last year
- Exploiting Domain-Specific Features to Enhance Domain Generalization (NeurIPS 2021).☆27Updated 2 years ago
- PyTorch implementation of our CVPR2023 paper "OpenMix: Exploring Out-of-Distribution samples for Misclassification Detection"☆23Updated last year
- ☆17Updated last year
- [ACLW'24] LMPT: Prompt Tuning with Class-Specific Embedding Loss for Long-tailed Multi-Label Visual Recognition☆50Updated 6 months ago