StyleTTS 2: Towards Human-Level Text-to-Speech through Style Diffusion and Adversarial Training with Large Speech Language Models
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Updated
Aug 10, 2024 - Python
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
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)
[WACV 2022] "Sandwich Batch Normalization: A Drop-In Replacement for Feature Distribution Heterogeneity" by Xinyu Gong, Wuyang Chen, Tianlong Chen and Zhangyang Wang
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