tulipScaleable input gradient regularization
Stars: ✭ 19 (+26.67%)
industry-eval-EAAn Industry Evaluation of Embedding-based Entity Alignment @ COLING'20
Stars: ✭ 19 (+26.67%)
adVAEImplementation of 'Self-Adversarial Variational Autoencoder with Gaussian Anomaly Prior Distribution for Anomaly Detection'
Stars: ✭ 17 (+13.33%)
MultiKEMulti-view Knowledge Graph Embedding for Entity Alignment, IJCAI 2019
Stars: ✭ 102 (+580%)
linguistic-style-transfer-pytorchImplementation of "Disentangled Representation Learning for Non-Parallel Text Style Transfer(ACL 2019)" in Pytorch
Stars: ✭ 55 (+266.67%)
Transferable-E2E-ABSATransferable End-to-End Aspect-based Sentiment Analysis with Selective Adversarial Learning (EMNLP'19)
Stars: ✭ 62 (+313.33%)
collateral-learningCollateral Learning - Functional Encryption and Adversarial Training on partially encrypted networks
Stars: ✭ 67 (+346.67%)
RASAISTATS 2019: Reference-based Adversarial Sampling & Its applications to Soft Q-learning
Stars: ✭ 15 (+0%)
MANMultimodal Adversarial Network for Cross-modal Retrieval (PyTorch Code)
Stars: ✭ 26 (+73.33%)
AliNetKnowledge Graph Alignment Network with Gated Multi-hop Neighborhood Aggregation, AAAI 2020
Stars: ✭ 89 (+493.33%)
Clan( CVPR2019 Oral ) Taking A Closer Look at Domain Shift: Category-level Adversaries for Semantics Consistent Domain Adaptation
Stars: ✭ 248 (+1553.33%)
Awesome TensorlayerA curated list of dedicated resources and applications
Stars: ✭ 248 (+1553.33%)
Reenactgan[ECCV 2018] ReenactGAN: Learning to Reenact Faces via Boundary Transfer
Stars: ✭ 147 (+880%)
SeganSegAN: Semantic Segmentation with Adversarial Learning
Stars: ✭ 143 (+853.33%)
Unsupervised detectionAn Unsupervised Learning Framework for Moving Object Detection From Videos
Stars: ✭ 139 (+826.67%)
Free adv trainOfficial TensorFlow Implementation of Adversarial Training for Free! which trains robust models at no extra cost compared to natural training.
Stars: ✭ 127 (+746.67%)
ArelCode for the ACL paper "No Metrics Are Perfect: Adversarial Reward Learning for Visual Storytelling"
Stars: ✭ 124 (+726.67%)
GpndGenerative Probabilistic Novelty Detection with Adversarial Autoencoders
Stars: ✭ 112 (+646.67%)
Lggan[CVPR 2020] Local Class-Specific and Global Image-Level Generative Adversarial Networks for Semantic-Guided Scene Generation
Stars: ✭ 97 (+546.67%)
Pose Adv AugCode for "Jointly Optimize Data Augmentation and Network Training: Adversarial Data Augmentation in Human Pose Estimation" (CVPR 2018)
Stars: ✭ 83 (+453.33%)
Ali PytorchPyTorch implementation of Adversarially Learned Inference (BiGAN).
Stars: ✭ 61 (+306.67%)
GvbCode of Gradually Vanishing Bridge for Adversarial Domain Adaptation (CVPR2020)
Stars: ✭ 52 (+246.67%)
A2cl PtAdversarial Background-Aware Loss for Weakly-supervised Temporal Activity Localization (ECCV 2020)
Stars: ✭ 34 (+126.67%)
Lab[CVPR 2018] Look at Boundary: A Boundary-Aware Face Alignment Algorithm
Stars: ✭ 956 (+6273.33%)
AdvertorchA Toolbox for Adversarial Robustness Research
Stars: ✭ 826 (+5406.67%)
TaadpapersMust-read Papers on Textual Adversarial Attack and Defense
Stars: ✭ 800 (+5233.33%)
NeurecNext RecSys Library
Stars: ✭ 731 (+4773.33%)
AdaptsegnetLearning to Adapt Structured Output Space for Semantic Segmentation, CVPR 2018 (spotlight)
Stars: ✭ 654 (+4260%)
Tf DannDomain-Adversarial Neural Network in Tensorflow
Stars: ✭ 556 (+3606.67%)
AdvsemisegAdversarial Learning for Semi-supervised Semantic Segmentation, BMVC 2018
Stars: ✭ 382 (+2446.67%)
Selectiongan[CVPR 2019 Oral] Multi-Channel Attention Selection GAN with Cascaded Semantic Guidance for Cross-View Image Translation
Stars: ✭ 366 (+2340%)
adaptAwesome Domain Adaptation Python Toolbox
Stars: ✭ 46 (+206.67%)
CDFSL-ATA[IJCAI 2021] Cross-Domain Few-Shot Classification via Adversarial Task Augmentation
Stars: ✭ 21 (+40%)
gym-advGym environments modified with adversarial agents
Stars: ✭ 26 (+73.33%)
nalp🗣️ NALP is a library that covers Natural Adversarial Language Processing.
Stars: ✭ 17 (+13.33%)
AdverseBiNetImproving Document Binarization via Adversarial Noise-Texture Augmentation
Stars: ✭ 34 (+126.67%)
CADAAttending to Discriminative Certainty for Domain Adaptation
Stars: ✭ 17 (+13.33%)
NMNSource code and datasets for ACL 2020 paper: Neighborhood Matching Network for Entity Alignment.
Stars: ✭ 55 (+266.67%)
HyperKAKnowledge Association with Hyperbolic Knowledge Graph Embeddings, EMNLP 2020
Stars: ✭ 27 (+80%)