Title | Who | Link |
---|---|---|
DONE - Taking a HINT: Leveraging Explanations to Make Vision and Language Models More Grounded | Lucia | |
DONE - Gated Path Planning Networks | Georgios | |
DONE - A robust self-learning method for fully unsupervised cross-lingual mappings of word embeddings | Julia | |
DONE - Deliberation Networks: Sequence Generation Beyond One-Pass Decoding | Pranava | |
DONE - A Visual Attention Grounding Neural Model for Multimodal Machine Translation | Chiraag | |
DONE - Learning do Translate in Real-time with Neural Machine Translation | Lucia | |
D2KE: From Distance to Kernel and Embedding | Pranava | |
Improving Neural Machine Translation with Conditional Sequence Generative Adversarial Nets | Lucia | |
Adversarial Neural Machine Translation | Lucia | |
GAN Dissection: Visualizing and Understanding Generative Adversarial Networks | Pranava | Link |
Causal Inference via Kernel Deviance Measures | Pranava | |
Variational Learning on Aggregate Outputs with Gaussian Processes | Pranava | |
Grammar Variational Autoencoder | Pranava | |
Pervasive Attention: 2D Convolutional Neural Networks for Sequence-to-Sequence Prediction | Pranava | |
Residual Loss Prediction: Reinforcement Learning with no Incremental Feedback | Pranava | |
Hierarchical Imitation and Reinforcement Learning | Pranava | |
Reinforcement Learning for Bandit Neural Machine Translation with Simulated Human Feedback | Pranava | |
Supervising Unsupervised Learning | Pranava | |
Learning SMaLL Predictors | Pranava | |
Deep-carving: Discovering visual attributes by carving deep neural nets | Pranava |