Introduction to RNNs!
Arun Mallya! #RNN #Slide @Machine_learn

Computational Tutorial:
An introduction to LSTMs in Tensorflow #Slide #RNN @Machine_learn

Recurrent Neural Network
TINGWU WANG,
MACHINE LEARNING GROUP,
UNIVERSITY OF TORONTO #Slide #RNN @Machine_learn

A Critical Review of Recurrent Neural Networks
for Sequence Learning #Survey #RNN @Machine_learn

Time Series Data Imputation: A Survey on Deep Learning Approaches #RNN #Survey @Machine_learn

Survey on Recurrent Neural Network in Natural Language Processing #Survey #RNN @Machine_learn

Recurrent Neural Networks for Edge Intelligence: A Survey #Survey #RNN @Machine_learn

#RNN #Slide and #Survey @Machine_learn

GoEmotions: A Dataset for Fine-Grained Emotion Classification


https://ai.googleblog.com/2021/10/goemotions-dataset-for-fine-grained.html

@Machine_learn

🔊 Torchaudio: an audio library for PyTorch

Github: https://github.com/pytorch/audio

Paper: https://arxiv.org/abs/2110.15018v1

Dataset: https://paperswithcode.com/dataset/ljspeech

@Machine_learn

The fashion industry is on the verge of an unprecedented change. The implementation of machine learning, computer vision, and artificial intelligence (AI) in fashion applications is opening lots of new opportunities for this industry. This paper provides a comprehensive survey on this matter, categorizing more than 580 related articles into 22 well-defined fashion-related tasks. Such structured task-based multi-label classification of fashion research articles provides researchers with explicit research directions and facilitates their access to the related studies, improving the visibility of studies simultaneously. For each task, a time chart is provided to analyze the progress through the years. Furthermore, we provide a list of 86 public fashion datasets accompanied by a list of suggested applications and additional information for each.
link: https://arxiv.org/abs/2111.00905

@Machine_learn

COMPARATIVE STUDY OF CAPSULE NEURAL NETWORK IN VARIOUS APPLICATIONS #CapsuleNet #Paper #Survey @Machine_learn

An overview over Capsule Networks #CapsuleNet #Paper #survey @Machine_learn

MetNet-2: Deep Learning for 12-Hour Precipitation Forecasting


https://ai.googleblog.com/2021/11/metnet-2-deep-learning-for-12-hour.html

@Machine_learn

Code:
https://github.com/gist-ailab/uoais#unseen-object-amodal-instance-segmentation-uoais

Paper:
https://arxiv.org/abs/2109.11103

Dataset:
https://paperswithcode.com/dataset/ocid

Project page:
https://sites.google.com/view/uoais


@Machine_learn

What is Twitter, a Social Network or a News Media #Twitter #Paper @Machine_learn

Social Networks and Microblogging;The Emerging Marketing
Trends&Tools of the Twenty-first Century #Twitter #Paper @Machine_learn

Twitter as a Tool for Health Research:
a Systematic Review #Paper #Twitter @Machine_learn

Sentiment Analysis of Twitter Messages Using Word2Vec #Twitter #Paper @Machine_learn

Public Sentiment Analysis in Twitter Data for
Prediction of A Company’s Stock Price Movements #Twitter #Paper @Machine_learn

The impact of microblogging data for stock market prediction: Using
Twitter to predict returns, volatility, trading volume and survey
sentiment indices #Twitter #Paper @Machine_learn