BruceQFWang
Currently I am a pre-graduate student in Southeast University. My research interests include Meta-Learning, Continual Learning and Robust ML.
Nanjing
BruceQFWang's Stars
huggingface/transformers
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
weiaicunzai/pytorch-cifar100
Practice on cifar100(ResNet, DenseNet, VGG, GoogleNet, InceptionV3, InceptionV4, Inception-ResNetv2, Xception, Resnet In Resnet, ResNext,ShuffleNet, ShuffleNetv2, MobileNet, MobileNetv2, SqueezeNet, NasNet, Residual Attention Network, SENet, WideResNet)
lixin4ever/Conference-Acceptance-Rate
Acceptance rates for the major AI conferences
thunlp/PromptPapers
Must-read papers on prompt-based tuning for pre-trained language models.
facebookresearch/vissl
VISSL is FAIR's library of extensible, modular and scalable components for SOTA Self-Supervised Learning with images.
open-mmlab/mmselfsup
OpenMMLab Self-Supervised Learning Toolbox and Benchmark
FLHonker/Awesome-Knowledge-Distillation
Awesome Knowledge-Distillation. 分类整理的知识蒸馏paper(2014-2021)。
tata1661/FSL-Mate
FSL-Mate: A collection of resources for few-shot learning (FSL).
GMvandeVen/continual-learning
PyTorch implementation of various methods for continual learning (XdG, EWC, SI, LwF, FROMP, DGR, BI-R, ER, A-GEM, iCaRL, Generative Classifier) in three different scenarios.
TorchSSL/TorchSSL
A PyTorch-based library for semi-supervised learning (NeurIPS'21)
yfzhang114/Generalization-Causality
关于domain generalization，domain adaptation，causality，robutness，prompt，optimization，generative model各式各样研究的阅读笔记
JosephKJ/OWOD
(CVPR 2021 Oral) Open World Object Detection
zhmiao/OpenLongTailRecognition-OLTR
Pytorch implementation for "Large-Scale Long-Tailed Recognition in an Open World" (CVPR 2019 ORAL)
ej0cl6/deep-active-learning
Deep Active Learning
SimonVandenhende/Multi-Task-Learning-PyTorch
PyTorch implementation of multi-task learning architectures, incl. MTI-Net (ECCV2020).
google-research/meta-dataset
A dataset of datasets for learning to learn from few examples
optimass/continual_learning_papers
Relevant papers in Continual Learning
ContinualAI/continual-learning-papers
Continual Learning papers list, curated by ContinualAI
songhwanjun/Awesome-Noisy-Labels
A Survey
evanzd/ICLR2021-OpenReviewData
Crawl & visualize ICLR papers and reviews.
Continvvm/continuum
A clean and simple data loading library for Continual Learning
facebookresearch/low-shot-shrink-hallucinate
Presenting Low-shot Visual Recognition by Shrinking and Hallucinating Features
ContinualAI/continual-learning-baselines
Continual learning baselines and strategies from popular papers, using Avalanche. We include EWC, SI, GEM, AGEM, LwF, iCarl, GDumb, and other strategies.
ylsung/pytorch-adversarial-training
PyTorch-1.0 implementation for the adversarial training on MNIST/CIFAR-10 and visualization on robustness classifier.
lebrice/Sequoia
The Research Tree - A playground for research at the intersection of Continual, Reinforcement, and Self-Supervised Learning.
Harry24k/PGD-pytorch
A pytorch implementation of "Towards Deep Learning Models Resistant to Adversarial Attacks"
JinkaiZheng/awesome-adversarial-attack-and-defense-papers
takashiishida/comp
[NeurIPS 2017] [ICML 2019] Code for complementary-label learning
LDlabs/seqMultiTaskRNN
sequential learning in orthogonal subspaces
BruceQFWang/Awesome-Incremental-Learning
Awesome Incremental Learning