Topic: robust-machine-learning Goto Github
Some thing interesting about robust-machine-learning
Some thing interesting about robust-machine-learning
robust-machine-learning,pyDVL is a library of stable implementations of algorithms for data valuation and influence function computation
Organization: aai-institute
Home Page: https://pydvl.org
robust-machine-learning,Robust Single-Linkage Clustering
User: aggrathon
robust-machine-learning,Repository for the Reliable and Trustworthy AI course offered in Fall 2022 at ETH Zürich: implementation of DeepPoly, Robustness Analyzer for Deep Neural Networks
User: angelognazzo
robust-machine-learning,AQuA: A Benchmarking Tool for Label Quality Assessment
Organization: autonlab
robust-machine-learning,Implementation of the paper "Improving the Accuracy-Robustness Trade-off of Classifiers via Adaptive Smoothing".
User: bai-yt
Home Page: https://arxiv.org/abs/2301.12554
robust-machine-learning,MixedNUTS: Training-Free Accuracy-Robustness Balance via Nonlinearly Mixed Classifiers
User: bai-yt
robust-machine-learning,Semi-Supervised Robust Deep Neural Networks for Multi-Label Classification
User: bbenligiray
robust-machine-learning,This is the code for our paper `Robust Federated Learning with Attack-Adaptive Aggregation' accepted by FTL-IJCAI'21.
User: cpwan
robust-machine-learning,A project to improve out-of-distribution detection (open set recognition) and uncertainty estimation by changing a few lines of code in your project! Perform efficient inferences (i.e., do not increase inference time) without repetitive model training, hyperparameter tuning, or collecting additional data.
User: dlmacedo
robust-machine-learning,A project to add scalable state-of-the-art out-of-distribution detection (open set recognition) support by changing two lines of code! Perform efficient inferences (i.e., do not increase inference time) and detection without classification accuracy drop, hyperparameter tuning, or collecting additional data.
User: dlmacedo
robust-machine-learning,A project to train your model from scratch or fine-tune a pretrained model using the losses provided in this library to improve out-of-distribution detection and uncertainty estimation performances. Calibrate your model to produce enhanced uncertainty estimations. Detect out-of-distribution data using the defined score type and threshold.
User: dlmacedo
robust-machine-learning,ST-SSL (STSSL): Spatio-Temporal Self-Supervised Learning for Traffic Flow Forecasting/Prediction
User: echo-ji
robust-machine-learning,Breast Cancer Detection - This project tackles the crucial challenge of early breast cancer detection using machine learning techniques. Using Machine learnig algorithms, Support Vector Machine, Randon Forest.
User: ekanshojha
robust-machine-learning,👀🛡️ Code for the paper “Carefully Blending Adversarial Training and Purification Improves Adversarial Robustness” by Emanuele Ballarin, Alessio Ansuini and Luca Bortolussi (2024)
User: emaballarin
Home Page: https://arxiv.org/abs/2306.06081
robust-machine-learning,Reading list for adversarial perspective and robustness in deep reinforcement learning.
User: ezgikorkmaz
robust-machine-learning,Are machines "learning" anything? This repository explores some of the concepts from the book "Artificial Intelligence, a guide for thinking humans", by Melanie Mitchell.
Organization: fau-masters-collected-works-cgarbin
robust-machine-learning,Robust Object Detection Fusion Against Deception
Organization: git-disl
robust-machine-learning,Investigation of the effects of adversarial attacks and adversarial training on different variants of LSTM and CNN.
User: goktugocal
robust-machine-learning,Robust Reinforcement Learning with the Alternating Training of Learned Adversaries (ATLA) framework
User: huanzhang12
Home Page: https://arxiv.org/pdf/2101.08452.pdf
robust-machine-learning,[Findings of EMNLP 2022] Holistic Sentence Embeddings for Better Out-of-Distribution Detection
Organization: lancopku
robust-machine-learning,Blades: A Unified Benchmark Suite for Byzantine Attacks and Defenses in Federated Learning
User: lishenghui
robust-machine-learning,Official implementation of the paper: "REGroup: Rank-aggregating Ensemble of Generative Classifiers for Robust Predictions", IEEE WACV, 2022
User: lokender
Home Page: https://lokender.github.io/REGroup.html
robust-machine-learning,Final Project for CS486 - Robust Machine Learning. PyTorch Implementation of DefenseGAN using the CIFAR-10 Dataset
User: lukeingram
robust-machine-learning,Implementation of the paper: Explain2Attack: Text Adversarial Attacks via Cross-Domain Interpretability (ICPR 2020)
User: mahossam
robust-machine-learning,A curated list of Distribution Shift papers/articles and recent advancements.
User: monk1337
robust-machine-learning,A curated list of Robust Machine Learning papers/articles and recent advancements.
User: monk1337
robust-machine-learning,"RDA: Reciprocal Distribution Alignment for Robust Semi-supervised Learning" by Yue Duan (ECCV 2022)
User: njuyued
robust-machine-learning,Curated list of open source tooling for data-centric AI on unstructured data.
Organization: renumics
Home Page: https://renumics.com
robust-machine-learning,Repository for code release of preprint: "Repairing Systematic Outliers by Learning Clean Subspaces in VAEs".
User: sfme
robust-machine-learning,A collection of algorithms for detecting and handling label noise
User: shihab-shahriar
Home Page: https://scikit-clean.readthedocs.io/en/latest/
robust-machine-learning,The official implementation code of Paper "PointCVaR: Risk-optimized Outlier Removal for Robust 3D Point Cloud Classification" in AAAI 2024 (Oral)
User: shinke-li
Home Page: https://sites.google.com/view/pointcvar
robust-machine-learning,Repository for the paper "An Adversarial Approach for the Robust Classification of Pneumonia from Chest Radiographs"
Organization: suinleelab
Home Page: http://arxiv.org/abs/2001.04051
robust-machine-learning,Applying K-Means and Agglomerative hierarchical clustering to dataset
User: temmyfioye
Home Page: https://www.kaggle.com/code/apttemi/clustering-wine-dataset
robust-machine-learning,Code of ICLR SRML paper titled "Fair Machine Learning under Limited Demographically Labeled Data"
User: tinfoilhat0
Home Page: https://arxiv.org/abs/2106.04757
robust-machine-learning,The code of AAAI-21 paper titled "Defending against Backdoors in Federated Learning with Robust Learning Rate".
User: tinfoilhat0
Home Page: https://ojs.aaai.org/index.php/AAAI/article/view/17118
robust-machine-learning,Randomized Smoothing of All Shapes and Sizes (ICML 2020).
User: tonyduan
robust-machine-learning,Trustworthy AI/ML course by Professor Birhanu Eshete, University of Michigan, Dearborn.
User: trustworthy-ml-course
Home Page: https://trustworthy-ml-course.github.io
robust-machine-learning,A curated (most recent) list of resources for Learning with Noisy Labels
User: weijiaheng
robust-machine-learning, A repository contains a collection of resources and papers on Imbalance Learning On Graphs
User: yanliang3612
robust-machine-learning,Fast Distributionally Robust Learning with Variance Reduced Min-Max Optimization
User: yaodongyu
robust-machine-learning,[ICLR 2023] "Combating Exacerbated Heterogeneity for Robust Models in Federated Learning"
User: zfancy
Home Page: https://openreview.net/forum?id=eKllxpLOOm
robust-machine-learning,Challenging label noise called BadLabel; Robust label-noise learning called Robust DivideMix
User: zjfheart
Home Page: https://arxiv.org/abs/2305.18377
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