#大语言模型#A unified evaluation framework for large language models
#计算机科学#A Toolbox for Adversarial Robustness Research
#计算机科学#关于domain generalization,domain adaptation,causality,robutness,prompt,optimization,generative model各式各样研究的阅读笔记
#计算机科学#Corruption and Perturbation Robustness (ICLR 2019)
Benchmarking Generalized Out-of-Distribution Detection
Out-of-distribution detection, robustness, and generalization resources. The repository contains a curated list of papers, tutorials, books, videos, articles and open-source libraries etc
#Awesome#Awesome-LLM-Robustness: a curated list of Uncertainty, Reliability and Robustness in Large Language Models
PyBullet CartPole and Quadrotor environments—with CasADi symbolic a priori dynamics—for learning-based control and RL
#计算机科学#A curated (most recent) list of resources for Learning with Noisy Labels
A Harder ImageNet Test Set (CVPR 2021)
翻译 - 较难的ImageNet测试仪
#计算机科学#Raising the Cost of Malicious AI-Powered Image Editing
#人脸识别#Code and information for face image quality assessment with SER-FIQ
#Awesome#A curated list of papers in Test-time Adaptation, Test-time Training and Source-free Domain Adaptation
#计算机科学#Diffusion Classifier leverages pretrained diffusion models to perform zero-shot classification without additional training
#Awesome#Adversarial attacks and defenses on Graph Neural Networks.
#计算机科学#A curated list of trustworthy deep learning papers. Daily updating...
Benchmark your model on out-of-distribution datasets with carefully collected human comparison data (NeurIPS 2021 Oral)
Model Merging in LLMs, MLLMs, and Beyond: Methods, Theories, Applications and Opportunities. arXiv:2408.07666.
#计算机科学#EasyRobust: an Easy-to-use library for state-of-the-art Robust Computer Vision Research with PyTorch.
#计算机科学#Tensorflow implementation of "Compounding the Performance Improvements of Assembled Techniques in a Convolutional Neural Network"
翻译 - 正式实施“在卷积神经网络中组合技术的性能改进”