harsh19 / TRUCELinks
Truth-Conditional Captions for Time Series Data. EMNLP 2021. Harsh Jhamtani, Taylor Berg-Kirkpatrick
☆13Updated 3 years ago
Alternatives and similar repositories for TRUCE
Users that are interested in TRUCE are comparing it to the libraries listed below
Sorting:
- Transformer-based Conditional Variational Autoencoder for Controllable Story Generation☆162Updated 3 years ago
- Tensorflow implementation of Invariant Rationalization☆49Updated 2 years ago
- Codebase for Attentive Neural Hawkes Process (A-NHP) and Attentive Neural Datalog Through Time (A-NDTT)☆62Updated last year
- ☆21Updated 2 years ago
- Time-series-LLM☆23Updated 2 years ago
- ☆34Updated 5 years ago
- Adversarial Sparse Transformer for Time Series Forecasting☆140Updated 4 years ago
- Transformer-Based Conditioned Variational Autoencoder for Story Completion☆95Updated 5 years ago
- ☆125Updated 3 years ago
- Official Code for Towards Transparent and Explainable Attention Models paper (ACL 2020)☆35Updated 3 years ago
- ☆91Updated 4 years ago
- Code for WWW-20 Paper: HTML: Hierarchical Transformer-based Multi-task Learning for Volatility Prediction☆62Updated 2 years ago
- Contrastive Learning for Time Series☆40Updated 2 years ago
- PyTorch Implementation of GRU-D from "Recurrent Neural Networks for Multivariate Time Series with Missing Values" https://arxiv.org/abs/1…☆26Updated 5 years ago
- pytorch implementation of "A Theoretically Grounded Application of Dropout in Recurrent Neural Networks" LSTM(https://arxiv.org/abs/1512.…☆21Updated 5 years ago
- Implementation of "Intensity-Free Learning of Temporal Point Processes" (Spotlight @ ICLR 2020)☆89Updated 4 years ago
- Source code for paper "Contrastive Out-of-Distribution Detection for Pretrained Transformers", EMNLP 2021☆40Updated 4 years ago
- code for paper "Improving Sequence-to-Sequence Learning via Optimal Transport"☆68Updated 6 years ago
- implementations sde-net☆14Updated 5 years ago
- GluonTS - Probabilistic Time Series Modeling in Python☆52Updated 4 years ago
- Pytorch implementation of "Exploring Interpretable LSTM Neural Networks over Multi-Variable Data" https://arxiv.org/pdf/1905.12034.pdf☆109Updated 6 years ago
- Repository of the ICML 2020 paper "Set Functions for Time Series"☆128Updated 4 years ago
- Code and data for the paper "Multi-Source Domain Adaptation with Mixture of Experts" (EMNLP 2018)☆69Updated 5 years ago
- Code for *ScoreGrad: Multivariate Probabilistic Time Series Forecasting with Continuous Energy-based Generative Models*☆87Updated 11 months ago
- ☆69Updated 2 years ago
- Three-level Hierarchical Transformer Networks for Long-sequence and Multiple Clinical Documents Classification☆11Updated 3 years ago
- ☆48Updated 2 years ago
- ☆46Updated last year
- COT-GAN: Generating Sequential Data via Causal Optimal Transport☆39Updated 4 years ago
- Bayesian Attention Modules☆36Updated 5 years ago