Pinned Repositories
active_learning_coreset
Source code for ICLR 2018 Paper: Active Learning for Convolutional Neural Networks: A Core-Set Approach
ActiveLearning
active learning SOTA
AIMakeup
AI make up based on face-detection
Algorithm
archive_xianglinyang.github.io
Xianglin's homepage
CS-Books
📚 Computer Science Books 计算机技术类书籍 PDF
DeepDebugger
Official source code for ESEC/FSE 2023 Paper: DeepDebugger: An Interactive Time-Travelling Debugging Approach for Deep Classifiers
DeepVisualInsight
DeepVisualInsight (DVI) is a time-travelling visualization solution for how the classification boundaries of a learned model is trained in two-dimensional space.
TimeVis
Official source code for IJCAI 2022 Paper: Temporality Spatialization: A Scalable and Faithful Time-Travelling Visualization for Deep Classifier Training
TS
Simple proof minimax optimal thompson sampling.
xianglinyang's Repositories
xianglinyang/DeepVisualInsight
DeepVisualInsight (DVI) is a time-travelling visualization solution for how the classification boundaries of a learned model is trained in two-dimensional space.
xianglinyang/DeepDebugger
Official source code for ESEC/FSE 2023 Paper: DeepDebugger: An Interactive Time-Travelling Debugging Approach for Deep Classifiers
xianglinyang/TimeVis
Official source code for IJCAI 2022 Paper: Temporality Spatialization: A Scalable and Faithful Time-Travelling Visualization for Deep Classifier Training
xianglinyang/ActiveLearning
active learning SOTA
xianglinyang/TS
Simple proof minimax optimal thompson sampling.
xianglinyang/archive_xianglinyang.github.io
Xianglin's homepage
xianglinyang/backdoor_attack
Backdoor Attacks
xianglinyang/backdoor_attack_nlp
An open-source toolkit for textual backdoor attack and defense (NeurIPS 2022 D&B, Spotlight)
xianglinyang/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.
xianglinyang/DeepLearning
深度学习入门教程, 优秀文章, Deep Learning Tutorial
xianglinyang/DeepViewExp
xianglinyang/DeepVis
xianglinyang/DVI_baseline_exp
xianglinyang/DVI_supplementary
the experiment code for DVI
xianglinyang/EM
xianglinyang/EMNIST_Resnet
subject models for DVI using EMNIST dataset
xianglinyang/example_cml
xianglinyang/github-actions-tutorial
Sample repository to demonstrate use of Github Actions for SE&PL Research Group.
xianglinyang/gitignore
A collection of useful .gitignore templates
xianglinyang/Noisy_Training
Noisy datset. The case study for dl-vis-debugger.
xianglinyang/PyG-GNN
graph dataset for visualization
xianglinyang/pytorch-cifar
95.47% on CIFAR10 with PyTorch
xianglinyang/PyTorch_CIFAR10
Pretrained TorchVision models on CIFAR10 dataset (with weights)
xianglinyang/tensorboard
TensorFlow's Visualization Toolkit
xianglinyang/tensorboardVis
xianglinyang/umap
Uniform Manifold Approximation and Projection
xianglinyang/vis_datasets
The subject model datasets for visualization methods.
xianglinyang/xianglinyang
xianglinyang/xianglinyang.github.io
xianglin's homepage
xianglinyang/YOPO-You-Only-Propagate-Once
Code for our nips19 paper: You Only Propagate Once: Accelerating Adversarial Training Via Maximal Principle