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ST-SSL (STSSL): Spatio-Temporal Self-Supervised Learning for Traffic Flow Forecasting/Prediction

pyDVL is a library of stable implementations of algorithms for data valuation and influence function computation

Entropic Out Of Distribution Detection ⭐ 47

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.

Distinction Maximization Loss ⭐ 34

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.

[ICLR 2023] "Combating Exacerbated Heterogeneity for Robust Models in Federated Learning"

[Findings of EMNLP 2022] Holistic Sentence Embeddings for Better Out-of-Distribution Detection

Repository for the paper "An Adversarial Approach for the Robust Classification of Pneumonia from Chest Radiographs"

Robust Deep Learning ⭐ 9

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.

Scikit Clean ⭐ 9

A collection of algorithms for detecting and handling label noise

Rda4robustssl ⭐ 7

"RDA: Reciprocal Distribution Alignment for Robust Semi-supervised Learning" by Yue Duan (ECCV 2022)

Defending Against Backdoors With Robust Learning Rate ⭐ 7

The code of AAAI-21 paper titled "Defending against Backdoors in Federated Learning with Robust Learning Rate".

Atla_robust_rl ⭐ 6

Robust Reinforcement Learning with the Alternating Training with Learned Adversaries (ATLA) framework

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