icml2019paper2428 / Towards-A-Deep-and-Unified-Understanding-of-Deep-Neural-Models-in-NLPView on GitHub
Code implementation of paper Towards A Deep and Unified Understanding of Deep Neural Models in NLP
☆73Jun 7, 2019Updated 6 years ago
Alternatives and similar repositories for Towards-A-Deep-and-Unified-Understanding-of-Deep-Neural-Models-in-NLP
Users that are interested in Towards-A-Deep-and-Unified-Understanding-of-Deep-Neural-Models-in-NLP are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Experiments from "The Description Length of Deep Learning Models"☆10Aug 1, 2018Updated 7 years ago
- Code for the paper "Learning Variational Word Masks to Improve the Interpretability of Neural Text Classifiers"☆18Dec 15, 2020Updated 5 years ago
- ☆20Jun 7, 2020Updated 5 years ago
- Code for OrthDNNs: Orthogonal Deep Neural Networks☆14Jan 9, 2020Updated 6 years ago
- Dockerized code for E3: Entailment-driven Extracting and Editing for Conversational Machine Reading.☆48Jul 22, 2023Updated 2 years ago
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- Code for the SIGIR20 paper -- Measuring and Mitigating Item Under-Recommendation Bias inPersonalized Ranking Systems☆16Apr 28, 2020Updated 5 years ago
- This project is used to automatically grab the query results of ChatGPT in batches without manual input. And it supports automatic switch…☆14Feb 28, 2023Updated 3 years ago
- Active Learning with Partial Feedback, ICLR 2019☆11Apr 27, 2020Updated 5 years ago
- PyTorch code for KDD 18 paper: Towards Explanation of DNN-based Prediction with Guided Feature Inversion☆21Feb 4, 2019Updated 7 years ago
- NAACL 2022 Findings☆15May 4, 2022Updated 3 years ago
- pytorch implementation for "Mutual Information Neural Estimation"☆11Dec 13, 2019Updated 6 years ago
- ☆10Oct 2, 2024Updated last year
- This repository provides the dataset used in "Schema-Guided Natural Language Generation" by Yuheng Du, Shereen Oraby, Vittorio Perera, Mi…☆13Dec 8, 2020Updated 5 years ago
- Realistic benchmark for different causal inference methods. The realism comes from fitting generative models to data with an assumed caus…☆86Mar 29, 2021Updated 5 years ago
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting with the flexibility to host WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Cloudways by DigitalOcean.
- ☆14Feb 19, 2023Updated 3 years ago
- Adversarial learning by utilizing model interpretation☆10Oct 19, 2018Updated 7 years ago
- Finding Generalizable Evidence by Learning to Convince Q&A Models☆25Jan 5, 2023Updated 3 years ago
- Official PyTorch (Lightning) implementation of the NeurIPS 2020 paper "Efficient Marginalization of Discrete and Structured Latent Variab…☆27May 3, 2021Updated 4 years ago
- Robust Attribution Regularization☆16Feb 17, 2022Updated 4 years ago
- Code for EMNLP 2021 paper "Measuring Association Between Labels and Free-Text Rationales"☆12Sep 12, 2023Updated 2 years ago
- Code for the paper "Generating Hierarchical Explanations on Text Classification via Feature Interaction Detection"☆30Jan 23, 2021Updated 5 years ago
- Child-Sum Tree-LSTM Implementation in PyTorch☆19Sep 19, 2017Updated 8 years ago
- The accompanying code for "Are We Modeling the Task or the Annotator? An Investigation of Annotator Bias in Natural Language Understandin…☆21Sep 4, 2019Updated 6 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click and start building anything your business needs.
- Solutions for CS294-112 Fall2018 assignments in Pytorch☆20Oct 13, 2018Updated 7 years ago
- Tensorflow implementation of TrialAttack (Triple Adversarial Learning for Influence based Poisoning Attack in Recommender Systems. KDD 20…☆12Sep 2, 2021Updated 4 years ago
- Neural network definition models☆20Nov 15, 2016Updated 9 years ago
- Pytorch implementation of Count-ception and custom CNN counting models for Kaggle Sea Lion Count challenge☆11Jun 30, 2017Updated 8 years ago
- Repository for code from "On Adversarial Removal of Hypothesis-only Bias in Natural Language Inference" (StarSem 2019) and "Don’t Take th…☆15Apr 6, 2020Updated 6 years ago
- Code of the paper "Synthesizing Aspect-Driven Recommendation Explanations from Reviews", IJCAI'20☆10Apr 5, 2024Updated 2 years ago
- Companion site for "Analysis Methods in Neural Language Processing: A Survey"☆66Feb 28, 2020Updated 6 years ago
- Author implementation of the paper "Decoupling Structure and Lexicon for Zero-Shot Semantic Parsing"☆18Nov 2, 2018Updated 7 years ago
- Code and data release for the paper "Learning from noisy labels by distillation"☆21Nov 17, 2017Updated 8 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.
- A little Python script to generate Cohen's Kappa and Weighted Kappa measures for inter-rater reliability☆23Sep 17, 2019Updated 6 years ago
- A tool for extracting plain text and internal Wikipedia links from Wikipedia dumps☆11Apr 18, 2019Updated 6 years ago
- Code for the COLING 2018 paper "Document-level Multi-aspect Sentiment Classification by Jointly Modeling Users, Aspects, and Overall Rati…☆23Dec 10, 2018Updated 7 years ago
- Prompting Small Language Models for Personalized Cold-Start Recommendation☆31Mar 9, 2024Updated 2 years ago
- This is the official implementation for the paper "Learning to Scaffold: Optimizing Model Explanations for Teaching"☆20May 19, 2022Updated 3 years ago
- Sensor data science and AI tutorial☆11Feb 15, 2026Updated last month
- A comparison of human attention with computational attention mechanisms☆12Jul 3, 2020Updated 5 years ago