A unified evaluation framework for large language models
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Updated
Jul 25, 2024 - Python
A unified evaluation framework for large language models
A Toolbox for Adversarial Robustness Research
关于domain generalization,domain adaptation,causality,robutness,prompt,optimization,generative model各式各样研究的阅读笔记
Corruption and Perturbation Robustness (ICLR 2019)
Benchmarking Generalized Out-of-Distribution Detection
A curated (most recent) list of resources for Learning with Noisy Labels
Out-of-distribution detection, robustness, and generalization resources. The repository contains a professionally curated list of papers, tutorials, books, videos, articles and open-source libraries etc
INTERSPEECH 2023 Papers: A complete collection of influential and exciting research papers from the INTERSPEECH 2023 conference. Explore the latest advances in speech and language processing. Code included. Star the repository to support the advancement of speech technology!
Awesome-LLM-Robustness: a curated list of Uncertainty, Reliability and Robustness in Large Language Models
A Harder ImageNet Test Set (CVPR 2021)
PyBullet CartPole and Quadrotor environments—with CasADi symbolic a priori dynamics—for learning-based control and RL
Raising the Cost of Malicious AI-Powered Image Editing
Code and information for face image quality assessment with SER-FIQ
A curated list of papers in Test-time Adaptation, Test-time Training and Source-free Domain Adaptation
Diffusion Classifier leverages pretrained diffusion models to perform zero-shot classification without additional training
Adversarial attacks and defenses on Graph Neural Networks.
Benchmark your model on out-of-distribution datasets with carefully collected human comparison data (NeurIPS 2021 Oral)
Tensorflow implementation of "Compounding the Performance Improvements of Assembled Techniques in a Convolutional Neural Network"
EasyRobust: an Easy-to-use library for state-of-the-art Robust Computer Vision Research with PyTorch.
A curated list of trustworthy deep learning papers. Daily updating...
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