Texformer: 3D Human Texture Estimation from a Single Image with Transformers

Github: https://github.com/xuxy09/texformer

Paper: http://arxiv.org/abs/2109.02563

Meta data: https://www.dropbox.com/s/ekxn300cuw8bw6b/meta.zip

@Machine_learn

A study on Ensemble Learning for Time Series
Forecasting and the need for Meta-Learning #Paper #2021 @Machine_learn

Ensemble deep learning: A review #Paper #2021 @Machine_learn

A Survey on Ensemble Learning under the Era of Deep Learning #Paper #2021 @Machine_learn

✅ AliceMind: ALIbaba's Collection of Encoder-decoders from MinD (Machine IntelligeNce of Damo) Lab

Github: https://github.com/alibaba/AliceMind

Paper: https://arxiv.org/abs/2109.05687v1

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

@Machine_learn

A New Deep Learning-Based Methodology for Video Deepfake
Detection Using XGBoost #Deepfake #Paper @Machine_learn

ConvXGB: A new deep learning model for classification problems
based on CNN and XGBoost #XGBoost #Paper @Machine_learn

Conformal Prediction Interval for Dynamic Time-Series #Timeseries #Paper @Machine_learn

TI-Capsule: Capsule Network for Stock Exchange Prediction #Paper #2021 Author:@Raminmousa @Machine_learn

Dynamic Slimmable Network (DS-Net)

Github: https://github.com/M3DV/AlignShift

Paper: https://arxiv.org/abs/2109.10060v1 @Machine_learn

CompilerGym: Robust, Performant Compiler Optimization Environments for AI Research

CompilerGym is a library of easy to use and performant reinforcement learning environments for compiler tasks.

Github: https://github.com/facebookresearch/CompilerGym

Documents: https://facebookresearch.github.io/CompilerGym/

Paper: https://arxiv.org/abs/2109.08267v1 @Machine_learn

Hands-On Gradient Boosting with XGBoost and scikit-learn
#book #python #XGBoost
@Machine_learn

Unseen Object Amodal Instance Segmentation (UOAIS)

Github: https://github.com/gist-ailab/uoais

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

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

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

@Machine_learn

Hierarchical Memory Matching Network for Video Object Segmentation

Github: https://github.com/hongje/hmmn

Paper: https://arxiv.org/abs/2109.11404v1

Dataset: https://paperswithcode.com/dataset/davis-2016

@Machine_learn

Ensemble Deep Learning Models for Forecasting
Cryptocurrency Time-Series #Paper #Ensemble #2021 @Machine_learn

DERN: Deep Ensemble Learning Model for Shortand Long-Term Prediction of Baltic Dry Index #Paper #Ensemble #2021 @Machine_learn

AI in Healthcare: Time-Series
Forecasting Using Statistical, Neural,
and Ensemble Architectures #Paper #Ensemble #2021 @Machine_learn

An Actor-Critic Ensemble Aggregation Model for
Time-Series Forecasting #Paper #Ensemble #2021 @Machine_learn

Multi-Time Resolution Ensemble LSTMs for Enhanced Feature
Extraction in High-Rate Time Series #Paper #Ensemble #2021 @Machine_learn