seongjunyun / CNN-with-Dual-Local-and-Global-AttentionLinks
Implementaion of Interpretable Convolutional Neural Networks with Dual Local and Global Attention for Review Rating Prediction
☆123Updated 4 years ago
Alternatives and similar repositories for CNN-with-Dual-Local-and-Global-Attention
Users that are interested in CNN-with-Dual-Local-and-Global-Attention are comparing it to the libraries listed below
Sorting:
- Tensorflow implementation for the paper 'Learning Deep Latent Spaces for Multi-Label Classfications' in AAAI 2017☆98Updated 7 years ago
- Code for our KDD 2018 Paper "Multi-Pointer Co-Attention Networks for Recommendation"☆150Updated 6 years ago
- A Tensorflow implementation of the paper arXiv:1604.03539☆134Updated 7 years ago
- Low-Rank Linear Autoencoder, LLAE, AAAI 2019, From Zero-Shot Learning to Cold-Start Recommendation☆39Updated 6 years ago
- ☆54Updated 7 years ago
- Tensorflow implementation of Capsule Graph Neural Network☆75Updated 4 years ago
- Densely Connected CNN with Multi-scale Feature Attention for Text Classification☆132Updated 7 years ago
- 2018腾讯社交广告33名;☆22Updated 7 years ago
- Source code and dataset for KDD 2019 paper "Sequential Scenario-Specific Meta Learner for Online Recommendation"☆81Updated last year
- This is a repository for Multi-task learning with toy data in Pytorch and Tensorflow☆137Updated 7 years ago
- An implementation of the Co-Training semi-supervised learning technique from (Blue, Mitchell 1998) that is meant to work well with scikit…☆75Updated 5 years ago
- pytorch neural network attention mechanism☆147Updated 6 years ago
- The implementation of “A Capsule Network for Recommendation and Explaining What You Like and Dislike”, Chenliang Li, Cong Quan, Li Peng, …☆53Updated 2 years ago
- A PyTorch implementation of Ranking Distillation☆90Updated 5 years ago
- Collaborative Denoising Auto-Encoder (CDAE)☆57Updated 9 years ago
- Symmetric Metric Learning with Adaptive Margin for Recommendation☆36Updated 5 years ago
- The implementation of Meta-LSTM in "Meta Multi-Task Learning for Sequence Modeling." AAAI-18☆33Updated 7 years ago
- 6️⃣6️⃣6️⃣ Reproduce ICLR '18 under-reviewed paper "MULTI-TASK LEARNING ON MNIST IMAGE DATASETS"☆42Updated 7 years ago
- Multi-Task Learning in NLP☆94Updated 7 years ago
- TensorFlow implementation of several popular Graph Neural Network layers, wrapped with tf.keras.layers.Layer.☆20Updated 6 years ago
- Implementation of "Latent Relational Metric Learning via Memory-based Attention for Collaborative Ranking"☆38Updated 7 years ago
- Deep Bayesian Active Semi-Supervised Learning☆11Updated 7 years ago
- ☆74Updated 7 years ago
- Generative model for sequential recommendation based on Convolution Neural Networks (CNN))☆113Updated last year
- ☆61Updated 8 years ago
- This is the implementation code for the paper "Trainable Undersampling for Class-Imbalance Learning" published in AAAI2019☆16Updated 6 years ago
- Dual Attention Graph Convolutional Network☆90Updated 4 years ago
- Sample code of B-CNN paper (https://arxiv.org/abs/1709.09890) written in Python3+.☆56Updated 4 years ago
- ☆65Updated 7 years ago
- The implementation of "Gated Attentive-Autoencoder for Content-Aware Recommendation"☆63Updated 2 years ago