penghui-yang's Stars
jingyi0000/VLM_survey
Collection of AWESOME vision-language models for vision tasks
linuxdeepin/deepin-unioncode
llm-attacks/llm-attacks
Universal and Transferable Attacks on Aligned Language Models
Paitesanshi/LLM-Agent-Survey
magic-research/Dataset_Quantization
[ICCV2023] Dataset Quantization
weijiaheng/Advances-in-Label-Noise-Learning
A curated (most recent) list of resources for Learning with Noisy Labels
JeanKaddour/NoTrainNoGain
Revisiting Efficient Training Algorithms For Transformer-based Language Models (NeurIPS 2023)
ykhli/cat-town
A custom AI-town with cats. Based on https://github.com/a16z-infra/AI-town
THUYimingLi/backdoor-learning-resources
A list of backdoor learning resources
zhoubolei/bolei_awesome_posters
CVPR and NeurIPS poster examples and templates. May we have in-person poster session soon!
kalelpark/RAL
Robust Asymmetric Loss for Multi-Label Long-Tailed Learning
Lumos-Jiateng/LFP
This is the official code repository for our paper: A Language First Approach to Procedural Planning.
pengsida/learning_research
本人的科研经验
LantaoYu/MARL-Papers
Paper list of multi-agent reinforcement learning (MARL)
hyp1231/awesome-llm-powered-agent
Awesome things about LLM-powered agents. Papers / Repos / Blogs / ...
YuejiangLIU/awesome-source-free-test-time-adaptation
A curated list of papers in Test-time Adaptation, Test-time Training and Source-free Domain Adaptation
zju3dv/mlp_maps
Code for "Representing Volumetric Videos as Dynamic MLP Maps" CVPR 2023
tim-learn/awesome-test-time-adaptation
Collection of awesome test-time (domain/batch/instance) adaptation methods
vcl-iisc/ZSKD
Zero-Shot Knowledge Distillation in Deep Networks
kyegomez/AttentionIsOFFByOne
Implementation of "Attention Is Off By One" by Evan Miller
penghui-yang/L2D
Official Implementation of ICCV'23 paper "Multi-Label Knowledge Distillation"
amusi/ICCV2023-Papers-with-Code
ICCV 2023 论文和开源项目合集
zhangyongshun/BagofTricks-LT
A scientific and useful toolbox, which contains practical and effective long-tail related tricks with extensive experimental results
daochenzha/data-centric-AI
A curated, but incomplete, list of data-centric AI resources.
Sirius222/Bag-of-tricks-for-learning-with-noisy-labels
Bag of tricks for learning with noisy labels
ningkp/paper
NVlabs/DeepInversion
Official PyTorch implementation of Dreaming to Distill: Data-free Knowledge Transfer via DeepInversion (CVPR 2020)
jonbarron/website
Hannibal046/Awesome-LLM
Awesome-LLM: a curated list of Large Language Model
yunqing-me/AttackVLM
[NeurIPS-2023] Annual Conference on Neural Information Processing Systems