Here are
83 public repositories
matching this topic...
Chinese NER(Named Entity Recognition) using BERT(Softmax, CRF, Span)
Updated
Jul 18, 2022
Python
PyTorch-1.0 implementation for the adversarial training on MNIST/CIFAR-10 and visualization on robustness classifier.
Updated
Aug 26, 2020
Python
Pytorch-Named-Entity-Recognition-with-transformers
Updated
Jun 1, 2020
Python
Code for the paper "Adversarial Self-supervised Contrastive Learning" (NeurIPS 2020)
Updated
Nov 30, 2020
Python
Research Code for NeurIPS 2020 Spotlight paper "Large-Scale Adversarial Training for Vision-and-Language Representation Learning": UNITER adversarial training part
Updated
Jan 13, 2021
Python
Understanding and Improving Fast Adversarial Training [NeurIPS 2020]
Updated
Sep 23, 2021
Python
Codes for NeurIPS 2020 paper "Adversarial Weight Perturbation Helps Robust Generalization"
Updated
Feb 18, 2021
Python
Language-Adversarial Training for Cross-Lingual Text Classification (TACL)
Updated
Oct 21, 2020
Python
Feature Scattering Adversarial Training
Updated
May 19, 2021
Python
KitanaQA: Adversarial training and data augmentation for neural question-answering models
Updated
Jun 22, 2022
Python
Adversarial Distributional Training (NeurIPS 2020)
Updated
Mar 17, 2021
Python
[WACV 2022] "Sandwich Batch Normalization: A Drop-In Replacement for Feature Distribution Heterogeneity" by Xinyu Gong, Wuyang Chen, Tianlong Chen and Zhangyang Wang
Updated
Dec 29, 2021
Python
Semi-supervised adversarial neural networks for classification of single cell transcriptomics data
Updated
Jul 12, 2022
Python
Adversarial attacks on Deep Reinforcement Learning (RL)
Updated
Feb 27, 2021
Jupyter Notebook
Unofficial implementation of the DeepMind papers "Uncovering the Limits of Adversarial Training against Norm-Bounded Adversarial Examples" & "Fixing Data Augmentation to Improve Adversarial Robustness" in PyTorch
Updated
Mar 4, 2022
Python
Updated
Nov 22, 2018
Python
Consistency Regularization for Adversarial Robustness (AAAI 2022)
Updated
Dec 12, 2021
Python
Migrate to PyTorch. Re-implementation of Bayesian Convolutional Neural Networks (BCNNs)
Updated
Mar 30, 2020
Python
Chainer implementation of Bayesian Convolutional Neural Networks (BCNNs)
Updated
Jul 4, 2020
Python
Updated
Mar 6, 2021
Python
Contains notebooks for the PAR tutorial at CVPR 2021.
Updated
Jun 29, 2021
Jupyter Notebook
Ensemble Adversarial Black-Box Attacks against Deep Learning Systems Trained by MNIST, USPS and GTSRB Datasets
Updated
Dec 16, 2019
Python
[NeurIPS 2021] Better Safe Than Sorry: Preventing Delusive Adversaries with Adversarial Training
Updated
Jan 9, 2022
Python
Dynamic Divide-and-Conquer Adversarial Training for Robust Semantic Segmentation (ICCV2021)
Updated
Oct 13, 2021
Python
Code for the paper "MMA Training: Direct Input Space Margin Maximization through Adversarial Training"
Updated
Apr 1, 2020
Python
Learnable Boundary Guided Adversarial Training (ICCV2021)
Updated
Jun 14, 2022
Python
Code for the paper "Addressing Model Vulnerability to Distributional Shifts over Image Transformation Sets", ICCV 2019
Updated
Mar 17, 2020
Python
Code for the paper: Adversarial Training Against Location-Optimized Adversarial Patches. ECCV-W 2020.
Updated
Mar 12, 2022
Python
Tensorflow deep learning based domain adaptation model implementations with experiment of estimate MNIST by SVHN data (SVHN -> MNIST): DANN (domain-adversarial neural network), Deep JDOT (joint distribution optimal transportation)
Updated
Apr 14, 2019
Python
Understanding Catastrophic Overfitting in Single-step Adversarial Training [AAAI 2021]
Updated
Jun 27, 2022
Jupyter Notebook
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