philqc / deep-value-networks-pytorchLinks
Structured Prediction with Deep Value Networks (PyTorch implementation)
☆13Updated last year
Alternatives and similar repositories for deep-value-networks-pytorch
Users that are interested in deep-value-networks-pytorch are comparing it to the libraries listed below
Sorting:
- Code accompanying our paper at AISTATS 2020☆21Updated 4 years ago
- Repository for ACL 2019 paper☆74Updated 6 years ago
- ☆65Updated last year
- Code and dataset for "Transfer Learning Between Related Tasks Using Expected Label Proportions"☆16Updated 6 years ago
- Code for ACL2018 paper "Learn How to Actively Learn: An Imitation Learning Approach"☆10Updated 6 years ago
- ☆16Updated 6 years ago
- Tensorflow implementation of Invariant Rationalization☆49Updated 2 years ago
- Code for the article "Automatic Temperature Control for Neural Machine Translation" (EMNLP 2018)☆14Updated 6 years ago
- PyTorch code for meta seq2seq learning☆43Updated 5 years ago
- PyTorch implementation for the paper Classification from Positive, Unlabeled and Biased Negative Data.☆19Updated 2 years ago
- Re-implementation of Bi-Directional Block Self-Attention for Fast and Memory-Efficient Sequence Modeling (T. Shen et al., ICLR 2018) on P…☆42Updated 7 years ago
- This repository contains the code used for Ordered Memory paper☆29Updated 5 years ago
- Layerwise Relevance Visualization in Convolutional Text Graph Classifiers☆12Updated 4 years ago
- SparseMax activation function implementation (ICML 2016) (PyTorch)☆28Updated 8 years ago
- Pytorch Implemetation for our NAACL2019 Paper "Riemannian Normalizing Flow on Variational Wasserstein Autoencoder for Text Modeling" http…☆63Updated 5 years ago
- Variational Auto-encoder with Non-parametric Bayesian Prior☆43Updated 8 years ago
- A simple Tensorflow implementation of https://arxiv.org/abs/1906.04985☆13Updated 6 years ago
- An implementation of a Variational-Autoencoder using the Gumbel-Softmax reparametrization trick in TensorFlow (tested on r1.5 CPU and GPU…☆72Updated 7 years ago
- Code to reproduce the paper Working Memory Networks☆26Updated 7 years ago
- "Deriving Machine Attention from Human Rationales" EMNLP 2018☆27Updated 6 years ago
- Code for ICLR 2019 Paper, "MAX-MIG: AN INFORMATION THEORETIC APPROACH FOR JOINT LEARNING FROM CROWDS"☆25Updated 2 years ago
- Policy based Active Learning with DQN (EMNLP-2017)☆90Updated 7 years ago
- Selection Distribution Generator for Domain Adaptation☆27Updated 6 years ago
- Language Model Baselines for PyTorch☆41Updated 5 years ago
- Codes for NIPS 2019 Paper: Rethinking Kernel Methods for Node Representation Learning on Graphs☆34Updated 5 years ago
- An implementation of DIP-VAE from the paper "Variational Inference of Disentangled Latent Concepts from Unlabelled Observations" by Kumar…☆26Updated 7 years ago
- Ouroboros: On Accelerating Training of Transformer-Based Language Models☆10Updated 6 years ago
- Keras implementation of Deep Wasserstein Embeddings☆48Updated 7 years ago
- Density Order Embeddings☆33Updated 6 years ago
- ReGAN: Sequence GAN using RE[INFORCE|LAX|BAR] based PG estimators☆41Updated 7 years ago