sebastianruder / learn-to-select-dataLinks
Code for Learning to select data for transfer learning with Bayesian Optimization
☆174Updated 7 years ago
Alternatives and similar repositories for learn-to-select-data
Users that are interested in learn-to-select-data are comparing it to the libraries listed below
Sorting:
- Bayesian Deep Active Learning for Natural Language Processing Tasks☆147Updated 6 years ago
- Convolutional Neural Networks with Recurrent Neural Filters☆53Updated 6 years ago
- Code for Sluice networks: Learning what to share between loosely related tasks☆155Updated 6 years ago
- TensorFlow implementation of 'Ask Me Anything: Dynamic Memory Networks for Natural Language Processing (2015)'☆42Updated 7 years ago
- 2019 NAACL NLI with Deep Learning tutorial site.☆31Updated 6 years ago
- Implementation of Hierarchical Attention Networks as presented in https://www.cs.cmu.edu/~diyiy/docs/naacl16.pdf☆57Updated 7 years ago
- ACL 2018: Dating Documents using Graph Convolution Networks☆59Updated 2 years ago
- Interpretable Models for NLP using PyTorch☆105Updated 7 years ago
- Code for Supervised Word Mover's Distance (SWMD)☆92Updated 7 years ago
- Source code for ``A Structured Self-Attentive Sentence Embedding'' published in ICLR 2017☆53Updated 7 years ago
- Multiclass Naive Bayes SVM (NB-SVM) - Learns a multiclass classifier (OneVsRest) based on word ngrams.☆35Updated 9 years ago
- Text Generation Using A Variational Autoencoder☆110Updated 8 years ago
- Code for reproducing the results from the paper Few Shot Text Classification with a Human in the Loop☆90Updated 7 years ago
- Code for the TACL paper "Overcoming Language Variation in Sentiment Analysis with Social Attention"☆45Updated 8 years ago
- Example Recurrent Neural Networks for Sentiment Analysis (Aspect-Based) on SemEval 2014☆74Updated 7 years ago
- Understanding and visualizing PyTorch Batching with LSTM☆140Updated 8 years ago
- A short tutorial for Torchtext, the NLP-specific add-on for Pytorch.☆85Updated 8 years ago
- Code for NAACL 2018 paper "Multi-task Learning of Pairwise Sequence Classification Tasks Over Disparate Label Spaces" by Isabelle Augenst…☆35Updated 7 years ago
- Uncovering divergent linguistic information in word embeddings with lessons for intrinsic and extrinsic evaluation☆63Updated 7 years ago
- Code to accompany "A Neural Framework for Generalized Topic Models"☆67Updated 7 years ago
- A simple implementation of CNN based text classification in Pytorch☆66Updated 8 years ago
- Neural Tensor Network Implementation as a keras layer☆59Updated 8 years ago
- Tensorflow implementation of Very Deep Convolutional Networks for Natural Language Processing☆79Updated 7 years ago
- A sentence encoding-based model for natural language inference☆31Updated 7 years ago
- Implementation in Tensorflow of A Structured Self-attentive Sentence Embedding with the sentiment analysis task.☆66Updated 8 years ago
- this is the code used in the paper "Discrete-State Variational Autoencoders for Joint Discovery and Factorization of Relations"☆65Updated 8 years ago
- State-of-the-art model evaluation☆41Updated 5 years ago
- Code for "Strong Baselines for Neural Semi-supervised Learning under Domain Shift" (Ruder & Plank, 2018 ACL)☆61Updated 2 years ago
- Pytorch and Torchtext implementation of Sequence to sequence☆59Updated 7 years ago
- utility class for building/evaluating document representations☆53Updated 5 years ago