Code for Interpretable Adversarial Perturbation in Input Embedding Space for Text, IJCAI 2018.
☆42Feb 27, 2020Updated 6 years ago
Alternatives and similar repositories for interpretable-adv
Users that are interested in interpretable-adv are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Code for Adversarial Training Methods for Semi-Supervised Text Classification☆124Jul 10, 2018Updated 7 years ago
- Adversarial perturbations on word embeddings of BERT☆13Jan 17, 2021Updated 5 years ago
- Generate adversarial text via gradient methods☆30Mar 16, 2019Updated 7 years ago
- Implementation code for the paper "Generating Natural Language Adversarial Examples"☆171Aug 30, 2019Updated 6 years ago
- Implementation of "Effective Adversarial Regularization for Neural Machine Translation", ACL 2019☆21Jan 11, 2020Updated 6 years ago
- End-to-end encrypted email - Proton Mail • AdSpecial offer: 40% Off Yearly / 80% Off First Month. All Proton services are open source and independently audited for security.
- Code for reproducing the results on the MNIST dataset in the paper "Distributional Smoothing with Virtual Adversarial Training"☆110Jun 25, 2017Updated 8 years ago
- Adversarial examples for Seq2Seq model in NLP☆40Nov 3, 2018Updated 7 years ago
- Adversarial Training for Natural Language Understanding☆252Sep 6, 2023Updated 2 years ago
- ☆12Sep 26, 2019Updated 6 years ago
- Implementation of "Semi-supervised learning of hierarchical representations of molecules using neural message passing" (arXiv:1711.10168)☆14Jun 20, 2018Updated 7 years ago
- ☆10Jun 23, 2018Updated 7 years ago
- Variational Dropout Sparsifies Deep Neural Networks (Molchanov et al. 2017) by Chainer☆18Jun 22, 2017Updated 8 years ago
- Adaptive embedding and softmax☆17Jan 22, 2022Updated 4 years ago
- Code release for the paper "Calibrating Energy-based Generative Adversarial Networks"☆24Oct 31, 2017Updated 8 years ago
- Serverless GPU API endpoints on Runpod - Get Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- ☆24Feb 15, 2020Updated 6 years ago
- Recurrent Additive Networks for Tensorflow☆16Jun 30, 2017Updated 8 years ago
- Aspect-augmented Adversarial Networks for Domain Adaptation☆49Feb 16, 2017Updated 9 years ago
- Generating Natural Adversarial Examples, ICLR 2018☆142May 17, 2018Updated 8 years ago
- ☆12Jan 15, 2015Updated 11 years ago
- Keras implementation of ABCNN by Yin & Schütze (WIP)☆23Jun 16, 2020Updated 5 years ago
- Graph Adversarial Training: Dynamically Regularizing Based on Graph Structure☆21Mar 21, 2020Updated 6 years ago
- Implement DeViSE: A Deep Visual-Semantic Embedding Model☆18Jan 15, 2018Updated 8 years ago
- Universal Adversarial Triggers for Attacking and Analyzing NLP (EMNLP 2019)☆299Jul 25, 2024Updated last year
- AI Agents on DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- Source code for the paper "Neural Multi-Step Reasoning for Question Answering on Semi-Structured Tables"☆20May 18, 2017Updated 9 years ago
- Densely Connected Graph Convolutional Networks for Graph-to-Sequence Learning (authors' MXNet implementation for the TACL19 paper)☆77Mar 25, 2021Updated 5 years ago
- Corpus and code for Aligned Recipe Actions (ARA) corpus, EMNLP 2021☆10May 22, 2024Updated 2 years ago
- Adversarial Training for NLP in Keras☆46Feb 29, 2020Updated 6 years ago
- ☆28Oct 6, 2020Updated 5 years ago
- syntactically controlled paraphrase networks☆168Dec 30, 2018Updated 7 years ago
- ☆34Jun 6, 2017Updated 9 years ago
- 高性能小模型测评 Shared Tasks in NLPCC 2020. Task 1 - Light Pre-Training Chinese Language Model for NLP Task☆60Jun 1, 2020Updated 6 years ago
- ☆54Nov 7, 2020Updated 5 years ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- Segment graph convolutional neural network for relation classification. Paper in JAMIA.☆10May 13, 2019Updated 7 years ago
- Codes for our paper at EMNLP2019☆36Dec 21, 2019Updated 6 years ago
- Adversarial Training for Neural Relation Extraction☆108Jun 3, 2018Updated 8 years ago
- Code for Paper: Calibrated Language Model Fine-Tuning for In- and Out-of-Distribution Data☆36Nov 16, 2020Updated 5 years ago
- this is a high performance cuda porting of cbow model of word2vec☆17Sep 14, 2014Updated 11 years ago
- A Tree-LSTM-based dependency tree sentiment labeler☆15May 9, 2019Updated 7 years ago
- Plausible looking adversarial examples for text classification☆94Dec 16, 2018Updated 7 years ago