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Emotion Recognition

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하위 태스크: 12
평가표: 10
보존된 평가 기록: 18

Emotion Recognition is an important area of research to enable effective human-computer interaction. Human emotions can be detected using speech signal, facial expressions, body language, and electroencephalography (EEG). Source: Using Deep Autoencoders for Facial Expression Recognition

코드

관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/IBM/lale-gpl

Type-Driven Automated Learning with Lale

https://github.com/IBM/pytorch-seq2seq

Attention Is All You Need

https://github.com/IBM/seizure-type-classification-tuh

SeizureNet: Multi-Spectral Deep Feature Learning for Seizure Type Classification

https://github.com/ICB-DCM/AMICI

AMICI: High-Performance Sensitivity Analysis for Large Ordinary Differential Equation Models

https://github.com/IEWbgfnYDwHRoRRSKtkdyMDUzgdwuBYgDKtDJWd/doldy

GANs Trained by a Two Time-Scale Update Rule Converge to a Local Nash Equilibrium

https://github.com/IMPLabUniPr/UniParma-at-semeval-2021-task-5

BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

https://github.com/INK-USC/AFET

Context-Dependent Fine-Grained Entity Type Tagging

https://github.com/IOB-Muenster/TEclass2

Attention Is All You Need

https://github.com/Impavidity/relogic

BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

https://github.com/InSpaceAI/RL-Zoo

Continuous control with deep reinforcement learning

https://github.com/IndicoDataSolutions/finetune

Convolutional Neural Networks for Sentence Classification

https://github.com/Intoxillectual/Monocular-Depth-Estimation-using-DenseNet169

High Quality Monocular Depth Estimation via Transfer Learning

https://github.com/IricsDo/Data-Hidding-Using-GAN

SteganoGAN: High Capacity Image Steganography with GANs

https://github.com/IrishCoffee/cudnnMultiHeadAttention

Attention Is All You Need

https://github.com/IvanVigor/Deep-Deterministic-Policy-Gradient-Unity-Env

Continuous control with deep reinforcement learning

https://github.com/IvanVigor/MADDPG-Unity

Continuous control with deep reinforcement learning

https://github.com/Iwontbecreative/Abstractive-summarization-OpenNMT

Attention Is All You Need

https://github.com/Izecson/saml-nmt

Attention Is All You Need

https://github.com/Izecson/sockeye-1.16.6

Attention Is All You Need

https://github.com/J93T/TP4-DDPG

Continuous control with deep reinforcement learning

https://github.com/JA-Bar/nlp-depression

BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

https://github.com/JL321/mujo-2DHalf-Cheetah

Continuous control with deep reinforcement learning

https://github.com/JL321/mujo-2DWalker

Continuous control with deep reinforcement learning

https://github.com/JMSaindon/NlpSquad

BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

https://github.com/JNUpython/bert

Attention Is All You Need

https://github.com/JRC1995/Machine-Translation-Transformers

Attention Is All You Need

https://github.com/Jackma3/NER-Bert-BiLstm

BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

https://github.com/JacobLau0513/676-MBTI

Convolutional Neural Networks for Sentence Classification

https://github.com/JahnaviRamagiri/DenseDepth_1

High Quality Monocular Depth Estimation via Transfer Learning

https://github.com/JanAthmer/Compositional-generalization-capabillity-of-Transformer

Attention Is All You Need

https://github.com/JanMarcelKezmann/TensorFlow-Advanced-Segmentation-Models

Deep High-Resolution Representation Learning for Visual Recognition

https://github.com/Jarr0d/Human-Parsing-Network

High-Resolution Representations for Labeling Pixels and Regions

https://github.com/Jarvx/text-classification-pytorch

Convolutional Neural Networks for Sentence Classification

https://github.com/JeheonPark596/sentimentsurvival

Attention Is All You Need

https://github.com/JeongHyunJin/Pix2PixHD

High-Resolution Image Synthesis and Semantic Manipulation with Conditional GANs

https://github.com/Jerryten/model_nlp

Convolutional Neural Networks for Sentence Classification

출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.