#自然语言处理#Curated list of open source tooling for data-centric AI on unstructured data.
#计算机科学#A curated (most recent) list of resources for Learning with Noisy Labels
ST-SSL (STSSL): Spatio-Temporal Self-Supervised Learning for Traffic Flow Forecasting/Prediction
⚔️ Blades: A Unified Benchmark Suite for Attacks and Defenses in Federated Learning
#计算机科学#pyDVL is a library of stable implementations of algorithms for data valuation and influence function computation
Reading list for adversarial perspective and robustness in deep reinforcement learning.
A repository contains a collection of resources and papers on Imbalance Learning On Graphs
#计算机科学#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 tim...
#计算机科学#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 tim...
Robust Reinforcement Learning with the Alternating Training of Learned Adversaries (ATLA) framework
Robust Reinforcement Learning with the Alternating Training of Learned Adversaries (ATLA) framework
#计算机科学#Randomized Smoothing of All Shapes and Sizes (ICML 2020).
#计算机科学#Randomized Smoothing of All Shapes and Sizes (ICML 2020).
#计算机科学#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 increas...
#计算机科学#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 increas...
#计算机科学#This is the code for our paper `Robust Federated Learning with Attack-Adaptive Aggregation' accepted by FTL-IJCAI'21.
#计算机科学#This is the code for our paper `Robust Federated Learning with Attack-Adaptive Aggregation' accepted by FTL-IJCAI'21.
#计算机科学#The code of AAAI-21 paper titled "Defending against Backdoors in Federated Learning with Robust Learning Rate".
[ICLR 2023] "Combating Exacerbated Heterogeneity for Robust Models in Federated Learning"
#计算机科学#The code of AAAI-21 paper titled "Defending against Backdoors in Federated Learning with Robust Learning Rate".