☆33Jan 8, 2021Updated 5 years ago
Alternatives and similar repositories for disentangled-information-bottleneck
Users that are interested in disentangled-information-bottleneck are comparing it to the libraries listed below
Sorting:
- Implementation of Information Bottleneck with Mutual Information Neural Estimation (MINE)☆20Jun 18, 2021Updated 4 years ago
- ☆25Apr 16, 2021Updated 4 years ago
- Code for the CVPR '23 paper, "Defending Against Patch-based Backdoor Attacks on Self-Supervised Learning"☆10Jun 9, 2023Updated 2 years ago
- Deep Variational Information Bottleneck (DVIB) in PyTorch.☆10Apr 25, 2020Updated 5 years ago
- ☆13Mar 30, 2022Updated 3 years ago
- ☆27May 16, 2021Updated 4 years ago
- Pytorch implementation of Deep Variational Information Bottleneck☆212Mar 22, 2018Updated 7 years ago
- The repository provide augment function of "Stain mix-up: Unsupervised domain generalization for histopathology images"☆12Feb 22, 2022Updated 4 years ago
- Pytorch implementation of Learning Disentangled Representations via Mutual Information Estimation (ECCV 2020)☆82Aug 3, 2021Updated 4 years ago
- DataLoader for TinyImageNet Dataset☆12Sep 15, 2021Updated 4 years ago
- Materials for the paper https://arxiv.org/pdf/2007.15036.pdf☆14Aug 3, 2020Updated 5 years ago
- This package contains a PyTorch Implementation of IB-GAN of the submitted paper in AAAI 2021☆14Aug 22, 2021Updated 4 years ago
- Learning Representations that Support Robust Transfer of Predictors☆20Nov 7, 2021Updated 4 years ago
- Energy-based Out-of-distribution Detection☆17Dec 23, 2020Updated 5 years ago
- Codes for our ICLR2020 paper: Knowledge Consistency between Neural Networks and Beyond☆16Jan 11, 2020Updated 6 years ago
- ☆16Jan 30, 2022Updated 4 years ago
- Implementation for Variational Information Bottleneck for Effective Low-resource Fine-tuning, ICLR 2021☆43May 10, 2021Updated 4 years ago
- The official source code for "Conditional Graph Information Bottleneck for Molecular Relational Learning".☆44May 6, 2023Updated 2 years ago
- This repository is the official implementation of: Experimental design for MRI by greedy policy search (NeurIPS, 2020).☆23Mar 14, 2022Updated 3 years ago
- Official PyTorch implementation of "Loss-Curvature Matching for Dataset Selection and Condensation" (AISTATS 2023)☆22Mar 14, 2023Updated 2 years ago
- Graph Information Bottleneck (GIB) for learning minimal sufficient structural and feature information using GNNs☆138Nov 29, 2022Updated 3 years ago
- Official implementation of MICCAI2024 paper "Evidential Concept Embedding Models: Towards Reliable Concept Explanations for Skin Disease …☆25Nov 21, 2024Updated last year
- Implementation of Multi-View Information Bottleneck☆137May 27, 2020Updated 5 years ago
- ☆20May 28, 2019Updated 6 years ago
- "Maximum-Entropy Adversarial Data Augmentation for Improved Generalization and Robustness" (NeurIPS 2020).☆52Nov 27, 2020Updated 5 years ago
- Official Code for ICML 2023 Paper: On the Generalization of Multi-modal Contrastive Learning☆26Nov 15, 2023Updated 2 years ago
- ☆23May 12, 2021Updated 4 years ago
- ☆25Jun 23, 2021Updated 4 years ago
- [ICASSP 2020] Code release of paper 'Heterogeneous Domain Generalization via Domain Mixup'☆26Aug 3, 2020Updated 5 years ago
- Official repository of the paper: Marking Code Without Breaking It: Code Watermarking for Detecting LLM-Generated Code (Findings of EACL …☆12Feb 11, 2026Updated 3 weeks ago
- This is unofficial repository for Towards Efficient and Scalable Sharpness-Aware Minimization.☆37Apr 15, 2024Updated last year
- Deep Neural Networks Entropy from Replicas☆34Nov 2, 2019Updated 6 years ago
- signal denoising + modulation recognition☆10Aug 7, 2018Updated 7 years ago
- PyTorch implementation of the paper "SuperLoss: A Generic Loss for Robust Curriculum Learning" in NIPS 2020.☆29Jan 26, 2021Updated 5 years ago
- ☆15Jan 14, 2025Updated last year
- ☆12May 6, 2022Updated 3 years ago
- ☆17Mar 22, 2025Updated 11 months ago
- [ICLR 2024]Implementation of "Prototypical Information Bottlenecking and Disentangling for Multimodal Cancer Survival Prediction"☆78May 5, 2024Updated last year
- Sharp-MAML: Sharpness-Aware Model-Agnostic Meta Learning☆33Feb 7, 2023Updated 3 years ago