Information Bottlenecks for Attribution
☆84Nov 10, 2022Updated 3 years ago
Alternatives and similar repositories for IBA
Users that are interested in IBA are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Code for the Paper "Restricting the Flow: Information Bottlenecks for Attribution"☆79Mar 18, 2020Updated 6 years ago
- Layerwise Relevance Visualization in Convolutional Text Graph Classifiers☆11Jun 2, 2021Updated 5 years ago
- NeurIPS 2021 | Fine-Grained Neural Network Explanation by Identifying Input Features with Predictive Information☆34Dec 13, 2021Updated 4 years ago
- Do input gradients highlight discriminative features? [NeurIPS 2021] (https://arxiv.org/abs/2102.12781)☆12Jan 10, 2023Updated 3 years ago
- Codes for reproducing the experimental results in "Proper Network Interpretability Helps Adversarial Robustness in Classification", publi…☆13Jun 29, 2020Updated 6 years ago
- GPUs on demand by Runpod - Special Offer Available • AdRun AI, ML, and HPC workloads on powerful cloud GPUs—without limits or wasted spend. Deploy GPUs in under a minute and pay by the second.
- Implementation of Boundary Attributions for Normal (Vector) Explanations☆11Aug 13, 2021Updated 5 years ago
- Hyperparameter search for AllenNLP - powered by Ray TUNE☆28Mar 6, 2025Updated last year
- This repository provides a PyTorch implementation of "Fooling Neural Network Interpretations via Adversarial Model Manipulation". Our pap…☆23Dec 19, 2020Updated 5 years ago
- Code for the CVPR 2020 [ORAL] paper "SAM: The Sensitivity of Attribution Methods to Hyperparameters"☆29Dec 8, 2022Updated 3 years ago
- reference implementation for "explanations can be manipulated and geometry is to blame"☆39Jul 24, 2022Updated 4 years ago
- python package for approximately estimating mutual information in high dimensions☆14Oct 3, 2024Updated 2 years ago
- A Diagnostic Study of Explainability Techniques for Text Classification☆70Oct 23, 2020Updated 6 years ago
- Explaining neural decisions contrastively to alternative decisions.☆24Mar 18, 2021Updated 5 years ago
- ☆13Oct 21, 2021Updated 5 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- Tensorflow implementation for the ECCV20 paper "Improving Adversarial Robustness by Enforcing Local and Global Compactness"☆15Jun 13, 2021Updated 5 years ago
- Code for paper "Search Methods for Sufficient, Socially-Aligned Feature Importance Explanations with In-Distribution Counterfactuals"☆18Oct 17, 2022Updated 4 years ago
- This is a curated list for Information Bottleneck Principle, in memory of Professor Naftali Tishby.☆403Feb 12, 2026Updated 8 months ago
- Information Bottleneck Approach to Spatial Attention Learning, IJCAI2021☆15Jun 1, 2021Updated 5 years ago
- Explaining a black-box using Deep Variational Information Bottleneck Approach☆47Oct 29, 2022Updated 4 years ago
- [NeurIPS 2020] code for "Boundary thickness and robustness in learning models"☆20Dec 11, 2020Updated 5 years ago
- code release for the paper "On Completeness-aware Concept-Based Explanations in Deep Neural Networks"☆54Mar 25, 2022Updated 4 years ago
- ☆13Mar 11, 2025Updated last year
- [ICLR'25] Boosting the visual interpretability of CLIP via adversarial fine-tuning☆13Mar 10, 2025Updated last year
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- Pytorch implementation of Deep Variational Information Bottleneck☆213Mar 22, 2018Updated 8 years ago
- Discretized Integrated Gradients for Explaining Language Models (EMNLP 2021)☆27Mar 26, 2022Updated 4 years ago
- Code for the Paper 'On the Connection Between Adversarial Robustness and Saliency Map Interpretability' by C. Etmann, S. Lunz, P. Maass, …☆16May 9, 2019Updated 7 years ago
- [NeurIPS 2021] “When does Contrastive Learning Preserve Adversarial Robustness from Pretraining to Finetuning?”☆49Nov 21, 2021Updated 4 years ago
- Implementation of Multi-View Information Bottleneck☆141May 27, 2020Updated 6 years ago
- Official Implementation of Poisson2Sparse - MICCAI 2022☆16Sep 1, 2022Updated 4 years ago
- This repository contains the main scripts for local linear segmentation and subsequent analysis of the resulting model space☆16Oct 8, 2020Updated 6 years ago
- Implementation of the paper: "Turning Tables: Generating Examples from Semi-structured Tables for Endowing Language Models with Reasoning…☆22Nov 2, 2021Updated 4 years ago
- Mining GOLD Samples for Conditional GANs (NeurIPS 2019)☆18Oct 22, 2019Updated 7 years ago
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- ☆13Apr 27, 2023Updated 3 years ago
- Pre-Training Buys Better Robustness and Uncertainty Estimates (ICML 2019)☆100Mar 1, 2022Updated 4 years ago
- Code for Surgical Skill Assessment via Video Semantic Aggregation (MICCAI 2022)☆10Nov 10, 2022Updated 3 years ago
- code for ICML 2021 paper in which we explore the relationship between adversarial transferability and knowledge transferability.☆16Dec 8, 2022Updated 3 years ago
- PyTorch implementation of NICE☆34Jan 30, 2019Updated 7 years ago
- Code for the paper "Training Normalizing Flows with the Information Bottleneck for Competitive Generative Classification" (2020)☆44May 10, 2024Updated 2 years ago
- [BMVC 2022] Information Theoretic Representation Distillation☆19Oct 6, 2023Updated 3 years ago