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1
Representation Learning for Music and Audio Intelligence.
Representation Learning for Music and Audio Intelligence.
Chen, Ke.Computer Science and Engineering. | University of California, San Diego. | 2024
Naver
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2
Deep Signal Compression with Feature Representation Learning.
Deep Signal Compression with Feature Representation Learning.
Liu, Bowen.Electrical and Computer Engineering. | University of Michigan. | 2024
Naver
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3
Mining Visual Knowledge from Pre-Trained Models.
Mining Visual Knowledge from Pre-Trained Models.
Tang, Luming.Computer Science. | Cornell University. | 2024
Naver
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4
Towards Expressive and Robust Learning With Hyperbolic Geometry.
Towards Expressive and Robust Learning With Hyperbolic Geometry.
Yu, Tao.Computer Science. | Cornell University. | 2024
Naver
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5
Learning Visual Representations from Cross-Modal Correspondence.
Learning Visual Representations from Cross-Modal Correspondence.
El Banani, Mohamed.Computer Science & Engineering. | University of Michigan. | 2024
Naver
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6
Language Supervision for Computer Vision.
Language Supervision for Computer Vision.
Desai, Karan P.Computer Science & Engineering. | University of Michigan. | 2024
Naver
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7
Scaling and Renormalization in Statistical Learning.
Scaling and Renormalization in Statistical Learning.
Atanasov, Alexander Blagoev.Physics. | Harvard University. | 2024
Naver
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8
Observations and Theories: Cognitive Mechanisms of Discovery.
Observations and Theories: Cognitive Mechanisms of Discovery.
Dubova, Marina.Cognitive Science. | Indiana University. | 2024
Naver
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9
Analyzing and Enhancing Molecular Dynamics Through the Synergy of Physics and Artificial Intelligence.
Analyzing and Enhancing Molecular Dynamics Through the Synergy of Physics and Artificial Intelligence.
Wang, Dedi.Biophysics (BIPH). | University of Maryland, College Park. | 2024
Naver
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