StyleTTS 2: Towards Human-Level Text-to-Speech through Style Diffusion and Adversarial Training with Large Speech Language Models

Chinese NER(Named Entity Recognition) using BERT(Softmax, CRF, Span)

PyTorch-1.0 implementation for the adversarial training on MNIST/CIFAR-10 and visualization on robustness classifier.

Pytorch-Named-Entity-Recognition-with-transformers

Codes for NeurIPS 2020 paper "Adversarial Weight Perturbation Helps Robust Generalization"

Code for the paper "Adversarial Self-supervised Contrastive Learning" (NeurIPS 2020)

Official code for Self-supervised Learning of Adversarial Example: Towards Good Generalizations for Deepfake Detection (CVPR 2022 oral)

Research Code for NeurIPS 2020 Spotlight paper "Large-Scale Adversarial Training for Vision-and-Language Representation Learning": UNITER adversarial training part

Understanding and Improving Fast Adversarial Training [NeurIPS 2020]

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

This respository contains the code for the NeurIPS 2024 paper SF-V: Single Forward Video Generation Model.

Adversarial attacks on Deep Reinforcement Learning (RL)

Semi-supervised adversarial neural networks for classification of single cell transcriptomics data

Feature Scattering Adversarial Training (NeurIPS19)

[ICML 2022]Source code for "A Closer Look at Smoothness in Domain Adversarial Training",

Language-Adversarial Training for Cross-Lingual Text Classification (TACL)

Adversarial Distributional Training (NeurIPS 2020)

Migrate to PyTorch. Re-implementation of Bayesian Convolutional Neural Networks (BCNNs)

KitanaQA: Adversarial training and data augmentation for neural question-answering models

Consistency Regularization for Adversarial Robustness (AAAI 2022)