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Psychology 논문 리뷰
Psychology 분야 주요 연구 논문을 연구 동기·방법·결과로 구조화한 AI 논문 리뷰 목록입니다.
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필터
1,563개의 결과
A Topic-Attentive Transformer-based Model For Multimodal Depression Detection
Yanrong Guo, Chenyang Zhu 외 2명
arXiv (Cornell University)
|
2022
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8 회 인용
A transformer-based approach to video frame-level prediction in Affective Behaviour Analysis In-the-wild
Dang-Khanh Nguyen, Ngoc-Huynh Ho 외 2명
arXiv (Cornell University)
|
2023
|
8 회 인용
Advanced LSTM: A Study about Better Time Dependency Modeling in Emotion Recognition
Fei Tao, Gang Liu
arXiv (Cornell University)
|
2017
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8 회 인용
AI Companions Reduce Loneliness
Julian De Freitas, Ahmet K Uguralp 외 2명
arXiv (Cornell University)
|
2024
|
8 회 인용
AntGPT: Can Large Language Models Help Long-term Action Anticipation from Videos?
Qi Zhao, Shijie Wang 외 6명
arXiv (Cornell University)
|
2023
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8 회 인용
Assistive Tele-op: Leveraging Transformers to Collect Robotic Task Demonstrations
Henry Clever, Ankur Handa 외 8명
arXiv (Cornell University)
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2021
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8 회 인용
Attention-Augmented End-to-End Multi-Task Learning for Emotion Prediction from Speech
Zixing Zhang, Bingwen Wu 외 1명
arXiv (Cornell University)
|
2019
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8 회 인용
AttX: Attentive Cross-Connections for Fusion of Wearable Signals in Emotion Recognition
Anubhav Bhatti, Behnam Behinaein 외 2명
arXiv (Cornell University)
|
2022
|
8 회 인용
Benefits and Harms of Large Language Models in Digital Mental Health
Munmun De Choudhury, Sachin R. Pendse 외 1명
arXiv (Cornell University)
|
2023
|
8 회 인용
Causal Curiosity: RL Agents Discovering Self-supervised Experiments for Causal Representation Learning
Sumedh Sontakke, Arash Mehrjou 외 2명
arXiv (Cornell University)
|
2020
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8 회 인용
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