iia-iccv23 / iia
The official PyTorch implementation of the Iterated Integrated Attributions (IIA) method.
☆9Updated 9 months ago
Related projects ⓘ
Alternatives and complementary repositories for iia
- ☆34Updated 2 years ago
- LISA for ICML 2022☆47Updated last year
- ☆16Updated last year
- ICLR 2024: Energy-Based Concept Bottleneck Models: Unifying Prediction, Concept Intervention, and Probabilistic Interpretations☆15Updated 7 months ago
- Repository for our NeurIPS 2022 paper "Concept Embedding Models: Beyond the Accuracy-Explainability Trade-Off" and our NeurIPS 2023 paper…☆52Updated this week
- Official repository for Do Pre-trained Models Benefit Equally in Continual Learning? (Accepted to WACV'23)☆25Updated last month
- 👋 Code for : "CRAFT: Concept Recursive Activation FacTorization for Explainability" (CVPR 2023)☆56Updated last year
- Github code for the paper Maximum Class Separation as Inductive Bias in One Matrix. Arxiv link: https://arxiv.org/abs/2206.08704☆27Updated last year
- Code release for paper Extremely Simple Activation Shaping for Out-of-Distribution Detection☆49Updated 2 months ago
- Code for the ICCV 2023 paper "Benchmarking Low-Shot Robustness to Natural Distribution Shifts"☆11Updated 10 months ago
- DiWA: Diverse Weight Averaging for Out-of-Distribution Generalization☆28Updated last year
- Code for CVPR 2024 paper - Resurrecting Old Classes with New Data for Exemplar-Free Continual Learning☆20Updated last week
- This repository contains the implementation of Concept Activation Regions, a new framework to explain deep neural networks with human con…☆9Updated 2 years ago
- ☆14Updated 2 weeks ago
- Official repo of Progressive Data Expansion: data, code and evaluation☆27Updated last year
- ProtoPFormer: Concentrating on Prototypical Parts in Vision Transformers for Interpretable Image Recognition☆34Updated last year
- Official PyTorch code for "Out-of-distribution detection with denoising diffusion models"☆44Updated 5 months ago
- ☆41Updated last year
- [MICCAI 2024 🔥] HLSS, the first study to explore hierarchical information inherent in histopathology images and their language descripti…☆23Updated 3 months ago
- Code for the paper "A Whac-A-Mole Dilemma Shortcuts Come in Multiples Where Mitigating One Amplifies Others"☆45Updated 4 months ago
- [CVPR'24] Validation-free few-shot adaptation of CLIP, using a well-initialized Linear Probe (ZSLP) and class-adaptive constraints (CLAP)…☆59Updated 5 months ago
- Learning Bottleneck Concepts in Image Classification (CVPR 2023)☆34Updated last year
- This is the official implementation of the Concept Discovery Models paper.☆11Updated last year
- ImageNetV2 Pytorch Dataset☆37Updated last year
- ☆15Updated 5 months ago
- Code for the paper "Efficient Dataset Distillation using Random Feature Approximation"☆36Updated last year
- This repository includes the official project of L2B, from our paper "Learning to Bootstrap for Combating Label Noise".☆31Updated 4 months ago
- Code and benchmark for the paper: "A Practitioner's Guide to Continual Multimodal Pretraining" [NeurIPS'24]☆35Updated 2 months ago
- [NeurIPS 2023] Factorized Contrastive Learning: Going Beyond Multi-view Redundancy☆60Updated last year
- Recycling diverse models☆44Updated last year