Chinese NER(Named Entity Recognition) using BERT(Softmax, CRF, Span)
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Updated
Mar 11, 2023 - Python
Chinese NER(Named Entity Recognition) using BERT(Softmax, CRF, Span)
StyleTTS 2: Towards Human-Level Text-to-Speech through Style Diffusion and Adversarial Training with Large Speech Language Models
PyTorch-1.0 implementation for the adversarial training on MNIST/CIFAR-10 and visualization on robustness classifier.
Pytorch-Named-Entity-Recognition-with-transformers
Code for the paper "Adversarial Self-supervised Contrastive Learning" (NeurIPS 2020)
Codes for NeurIPS 2020 paper "Adversarial Weight Perturbation Helps Robust Generalization"
Migrate to PyTorch. Re-implementation of Bayesian Convolutional Neural Networks (BCNNs)
Official code for Self-supervised Learning of Adversarial Example: Towards Good Generalizations for Deepfake Detection (CVPR 2022 oral)
Language-Adversarial Training for Cross-Lingual Text Classification (TACL)
Understanding and Improving Fast Adversarial Training [NeurIPS 2020]
Semi-supervised adversarial neural networks for classification of single cell transcriptomics data
Adversarial attacks on Deep Reinforcement Learning (RL)
Research Code for NeurIPS 2020 Spotlight paper "Large-Scale Adversarial Training for Vision-and-Language Representation Learning": UNITER adversarial training part
[ICML 2022]Source code for "A Closer Look at Smoothness in Domain Adversarial Training",
Feature Scattering Adversarial Training (NeurIPS19)
Chainer implementation of Bayesian Convolutional Neural Networks (BCNNs)
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
Code for the paper "MMA Training: Direct Input Space Margin Maximization through Adversarial Training"
Contains notebooks for the PAR tutorial at CVPR 2021.
KitanaQA: Adversarial training and data augmentation for neural question-answering models
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