Can we use explanations to improve hate speech models? Our paper accepted at AAAI 2021 tries to explore that question.
-
Updated
Jun 12, 2023 - Python
Can we use explanations to improve hate speech models? Our paper accepted at AAAI 2021 tries to explore that question.
Plot the vector graph of attention based text visualisation
This repository contains PyTorch implementation of 4 different models for classification of emotions of the speech.
This repository contain various types of attention mechanism like Bahdanau , Soft attention , Additive Attention , Hierarchical Attention etc in Pytorch, Tensorflow, Keras
[AAAI 2020] Modeling Personality with Attentive Networks and Contextual Embeddings
Ipython Notebooks for solving problems like classification, segmentation, generation using latest Deep learning algorithms on different publicly available text and image data-sets.
Tensorflow Implementation of Im2Latex
A Tensorflow 2 (Keras) implementation of DA-RNN (A Dual-Stage Attention-Based Recurrent Neural Network for Time Series Prediction, arXiv:1704.02971)
This is a implementation of integrating a simple but efficient attention block in CNN + bidirectional LSTM for video classification.
Forex price movement forecast
Deep representation of visual and textual descriptions using StackGAN
Enhanced BiLSTM Inference Model for Natural Language Inference
This repository implementation of the Attention mechanism using Tensorflow using various examples.
Generating text sequences using attention-based Bi-LSTM
An Image Caption Generation based search
Tensoflow 1.11 implementation of the Neural Sign Language Translation CVPR 2018 paper
Experiments with Deep Learning for generating music
Add a description, image, and links to the attention-lstm topic page so that developers can more easily learn about it.
To associate your repository with the attention-lstm topic, visit your repo's landing page and select "manage topics."