monk1337 / Awesome-Robust-Machine-LearningLinks
A curated list of Robust Machine Learning papers/articles and recent advancements.
☆33Updated 3 years ago
Alternatives and similar repositories for Awesome-Robust-Machine-Learning
Users that are interested in Awesome-Robust-Machine-Learning are comparing it to the libraries listed below
Sorting:
- A curated list of papers and resources about the distribution shift in machine learning.☆123Updated 2 years ago
- Code for the paper "Getting a CLUE: A Method for Explaining Uncertainty Estimates"☆36Updated last year
- OpenDataVal: a Unified Benchmark for Data Valuation in Python (NeurIPS 2023)☆99Updated 9 months ago
- Code for Environment Inference for Invariant Learning (ICML 2021 Paper)☆51Updated 4 years ago
- Learn then Test: Calibrating Predictive Algorithms to Achieve Risk Control☆70Updated last year
- Beta Shapley: a Unified and Noise-reduced Data Valuation Framework for Machine Learning (AISTATS 2022 Oral)☆42Updated 3 years ago
- The repository contains lists of papers on causality and how relevant techniques are being used to further enhance deep learning era comp…☆99Updated 2 years ago
- This repository holds code and other relevant files for the NeurIPS 2022 tutorial: Foundational Robustness of Foundation Models.☆72Updated 2 years ago
- LISA for ICML 2022☆51Updated 2 years ago
- Materials for the course Principles of AI: LLMs at UPenn (Stat 9911, Spring 2025). LLM architectures, training paradigms (pre- and post-t…☆43Updated 5 months ago
- Conformal prediction for controlling monotonic risk functions. Simple accompanying PyTorch code for conformal risk control in computer vi…☆72Updated 2 years ago
- Bayesian Low-Rank Adaptation for Large Language Models☆36Updated last year
- A simple PyTorch implementation of influence functions.☆91Updated last year
- This is an official repository for "LAVA: Data Valuation without Pre-Specified Learning Algorithms" (ICLR2023).☆51Updated last year
- ☆22Updated 4 years ago
- Deep Learning & Information Bottleneck☆62Updated 2 years ago
- Experiments to reproduce results in Interventional Causal Representation Learning.☆26Updated 2 years ago
- Benchmark for Natural Temporal Distribution Shift (NeurIPS 2022)☆68Updated 2 years ago
- ☆46Updated 2 years ago
- Distributional Shapley: A Distributional Framework for Data Valuation☆30Updated last year
- Code to reproduce the experimental results from the paper "Active Invariant Causal Prediction: Experiment Selection Through Stability", b…☆21Updated 2 years ago
- Code repository for the paper "Invariant and Transportable Representations for Anti-Causal Domain Shifts"☆16Updated 3 years ago
- This is the implementation for the NeurIPS 2022 paper: ZIN: When and How to Learn Invariance Without Environment Partition?☆22Updated 2 years ago
- ☆10Updated 3 years ago
- For calculating Shapley values via linear regression.☆71Updated 4 years ago
- Code and results accompanying our paper titled RLSbench: Domain Adaptation under Relaxed Label Shift☆35Updated 2 years ago
- Influence Analysis and Estimation - Survey, Papers, and Taxonomy☆83Updated last year
- ☆31Updated 4 years ago
- JMLR Cover Letter Template☆10Updated 3 years ago
- ☆36Updated 4 years ago