Train an RL agent to execute natural language instructions in a 3D Environment (PyTorch)
-
Updated
Apr 16, 2018 - Python
Train an RL agent to execute natural language instructions in a 3D Environment (PyTorch)
[ACL‘20] Highway Transformer: A Gated Transformer.
GSTA: Gated Spatial-Temporal Attention Approach for Travel Time Prediction
This repository provides the implementation for studying Sycophancy-Induced Emerging Misalignment (EM) and introduces Gated Finetuning, a mechanism that enables training-free and instant reversal of EM through an inverted gated attention module.
PyTorch implementation of the Gated Attention Network for text classification. Comparison of the model with BiLSTM and soft attention models using IMDb and TREC dataset.
Gated Attention Unit (TensorFlow implementation)
⚽NFL spatio-temporal records | GRU+MLP+GNN (Deep Learning) | K-means (ML)
From-scratch PyTorch implementation of the Gated Attention mechanism for transformer architectures, focusing on efficient sequence modeling and attention optimization.
Adaptive Hierarchical Attention-Enhanced Gated Network Integrating Reviews for Item Recommendation [TKDE 2021]
Multimodal deep learning for cancer survival prediction (91.2% accuracy, 79.8% sensitivity) using Gated Attention CNNs + Random Forest
Add a description, image, and links to the gated-attention topic page so that developers can more easily learn about it.
To associate your repository with the gated-attention topic, visit your repo's landing page and select "manage topics."