Stars
The learning routes of MIL (categorized, key paper listed, continuously updated)
Cross-Attention Guided Loss-Based Deep Dual-Branch Fusion Network for Liver Tumor Classification
A library that integrates different MIL methods into a unified framework
[ACM MM 2024] SAM-MIL: A Spatial Contextual Aware Multiple Instance Learning Approach for Whole Slide Image Classification
[ECCV'24] cDP-MIL: Robust Multiple Instance Learning via Cascaded Dirichlet Process
Code for "Reinforced GNNs for Multiple Instance Learning"
A Label Disambiguation-Based Multimodal Massive Multiple Instance Learning Approach for Immune Repertoire Classification
Vision Transformer (ViT) in PyTorch
[MICCAI 2024] Official Code for "MambaMIL: Enhancing Long Sequence Modeling with Sequence Reordering in Computational Pathology"
Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction, Inference - Red and Blue Teams
Benchmarking Generalized Out-of-Distribution Detection
[CVPR 2024] Dynamic Graph Representation with Knowledge-aware Attention for Histopathology Whole Slide Image Analysis
Robust Self-supervised Multi-instance Learning with Structure Awareness
Some Conferences' accepted paper lists (including AI, ML, Robotic)
AdvMIL: Adversarial Multiple Instance Learning for the Survival Analysis on Whole-Slide Images (Medical Image Analysis 2024)
CVPR Workshop paper - AnoDDPM: Anomaly Detection with Denoising Diffusion Probabilistic Models using Simplex Noise
Official PyTorch code for "Out-of-distribution detection with denoising diffusion models"
Out-of-distribution detection, robustness, and generalization resources. The repository contains a curated list of papers, tutorials, books, videos, articles and open-source libraries etc
Code for "Hard Label Black-box Adversarial Attacks in Low Query Budget Regimes"
Multi-Instance Causal Representation Learning
Paper of out of distribution detection and generalization
This repo contains the official implementation of Hybrid Energy Based Model in the Feature Space for Out-of-Distribution Detection (ICML'23).
Multiple Instance Learning via Iterative Self-Paced Supervised Contrastive Learning (CVPR 2023)