Stars
The official GitHub page for the survey paper "A Survey of Large Language Models".
[TMLR 2024] Efficient Large Language Models: A Survey
Awesome-LLM: a curated list of Large Language Model
ID-like Prompt Learning for Few-Shot Out-of-Distribution Detection
Easily compute clip embeddings and build a clip retrieval system with them
Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
AcadHomepage: A Modern and Responsive Academic Personal Homepage
A minimal and fully-customizable CV template for Typst.
Collection of Summer 2025 tech internships!
This is the official code of "Uncovering Prototypical Knowledge for Weakly Open-Vocabulary Semantic Segmentation, NeurIPS 23"
A collection of papers on the topic of ``Computer Vision in the Wild (CVinW)''
Collection of awesome test-time (domain/batch/instance) adaptation methods
This repo lists relevant papers summarized in our survey paper: A Systematic Survey of Prompt Engineering on Vision-Language Foundation Models.
Out-of-distribution detection, robustness, and generalization resources. The repository contains a professionally curated list of papers, tutorials, books, videos, articles and open-source librarie…
Awesome-LLM-Robustness: a curated list of Uncertainty, Reliability and Robustness in Large Language Models
A list of papers that studies out-of-distribution (OOD) detection and misclassification detection (MisD)
[arXiv:2311.03191] "DeepInception: Hypnotize Large Language Model to Be Jailbreaker"
A curation of awesome tools, documents and projects about LLM Security.
A curated list of trustworthy deep learning papers. Daily updating...
Collection of AWESOME vision-language models for vision tasks
[NeurIPS 2023] "Diversified Outlier Exposure for Out-of-Distribution Detection via Informative Extrapolation"
更新2008年版本的《上海交通大学生存手册》gitbook发布于https://survivesjtu.gitbook.io/survivesjtumanual/
https://survivesjtu.github.io/SJTU-Application/#/
[ICLR 2023] "Combating Exacerbated Heterogeneity for Robust Models in Federated Learning"
[ICLR 2023] PyTorch implementation for "Long-Tailed Partial Label Learning via Dynamic Rebalancing"
Summary of related papers on visual attention. Related code will be released based on Jittor gradually.