Tensorflow implementation of Invariant Rationalization
☆50Feb 16, 2023Updated 3 years ago
Alternatives and similar repositories for invariant_rationalization
Users that are interested in invariant_rationalization are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Tensorflow implementation for the Class-wise Selective Rationalization☆14Feb 15, 2023Updated 3 years ago
- Code for "Counterfactual Variable Control for Robust and Interpretable Question Answering"☆14Oct 13, 2020Updated 5 years ago
- Code for Environment Inference for Invariant Learning (ICML 2021 Paper)☆52Jun 10, 2021Updated 5 years ago
- ☆10Feb 18, 2020Updated 6 years ago
- Implementation of Invariant Risk Minimization https://arxiv.org/abs/1907.02893☆95Feb 13, 2020Updated 6 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.
- ☆27Jun 12, 2023Updated 3 years ago
- ☆19Mar 28, 2022Updated 4 years ago
- PyTorch code to run synthetic experiments.☆437Sep 8, 2021Updated 4 years ago
- ☆24Jun 7, 2021Updated 5 years ago
- Group-conditional DRO to alleviate spurious correlations☆15Jul 15, 2021Updated 5 years ago
- Toy datasets to evaluate algorithms for domain generalization and invariance learning.☆43Dec 5, 2021Updated 4 years ago
- ENGINE: Energy-Based Inference Networks for Non-Autoregressive Machine Translation☆25Oct 2, 2020Updated 5 years ago
- A framework to train language models to learn invariant representations.☆14Jan 24, 2022Updated 4 years ago
- CausaLM: Causal Model Explanation Through Counterfactual Language Models☆56Jun 14, 2020Updated 6 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- ACL 2023 *oral* paper "MGR: Multi-generator based Rationalization"☆10Nov 21, 2024Updated last year
- Codes for NIPS 2019 Paper: Rethinking Kernel Methods for Node Representation Learning on Graphs☆35Feb 20, 2020Updated 6 years ago
- A Flexible Generative Framework for Graph-based Semi-supervised Learning (NeurIPS 2019)☆16Nov 14, 2021Updated 4 years ago
- Experiments for TwinNet paper☆13Apr 9, 2018Updated 8 years ago
- Repository for theory and methods for Out-of-Distribution (OoD) generalization☆63Mar 4, 2022Updated 4 years ago
- An Empirical Study of Invariant Risk Minimization☆27Jul 6, 2020Updated 6 years ago
- GraphACL: Simple and Asymmetric Graph Contrastive Learning (NeurIPS 2023)☆34Jun 11, 2024Updated 2 years ago
- Contains implementation of the DoubIL and ResiduIL algorithms from the ICML '22 paper Causal Imitation Learning under Temporally Correlat…☆11Dec 9, 2022Updated 3 years ago
- The source code of the paper "Understanding Graph Neural Networks from Graph Signal Denoising Perspectives"☆23Jun 9, 2020Updated 6 years ago
- 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.
- ☆13Sep 8, 2024Updated last year
- A dataset for realistic evaluation of noisy label methods☆15Dec 3, 2023Updated 2 years ago
- A benchmark for understanding and evaluating rationales: http://www.eraserbenchmark.com/☆102Nov 11, 2022Updated 3 years ago
- NILE : Natural Language Inference with Faithful Natural Language Explanations☆29Jun 12, 2023Updated 3 years ago
- Source codes for "Preference-grounded Token-level Guidance for Language Model Fine-tuning" (NeurIPS 2023).☆17Jan 8, 2025Updated last year
- Unsupervised spoken sentence embeddings☆14Dec 14, 2022Updated 3 years ago
- Code for NeurIPS 2021 paper: "Invariant Causal Imitation Learning for Generalizable Policies" by I. Bica, D. Jarrett, M. van der Schaar☆28Mar 3, 2022Updated 4 years ago
- ☆11Oct 3, 2021Updated 4 years ago
- Course materials for UCSB CS 292F.300 Spring 2021: Graph Laplacians and Spectral Graph Theory☆12Jun 2, 2021Updated 5 years ago
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- ☆13May 30, 2022Updated 4 years ago
- Learning the Difference that Makes a Difference with Counterfactually-Augmented Data☆173Apr 26, 2021Updated 5 years ago
- Code for the paper "Learning Variational Word Masks to Improve the Interpretability of Neural Text Classifiers"☆18Dec 15, 2020Updated 5 years ago
- Contrastive Adversarial Learning for Multi-Source Time Series Domain Adaptation☆31Sep 23, 2021Updated 4 years ago
- ☆11Apr 16, 2020Updated 6 years ago
- ☆13Dec 11, 2022Updated 3 years ago
- Synthetic graph generator☆13Nov 7, 2023Updated 2 years ago