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Workshop
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Multi-Source Transfer Learning for Deep Model-Based Reinforcement Learning
Remo Sasso · Matthia Sabatelli · Marco Wiering
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Poster
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Wed 14:00
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Deep Model Reassembly
Xingyi Yang · Daquan Zhou · Songhua Liu · Jingwen Ye · Xinchao Wang
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Poster
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Tue 14:00
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Expected Frequency Matrices of Elections: Computation, Geometry, and Preference Learning
Niclas Boehmer · Robert Bredereck · Edith Elkind · Piotr Faliszewski · Stanisław Szufa
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Poster
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Wed 14:00
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Data-Efficient Augmentation for Training Neural Networks
Tian Yu Liu · Baharan Mirzasoleiman
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Poster
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Wed 14:00
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The Mechanism of Prediction Head in Non-contrastive Self-supervised Learning
Zixin Wen · Yuanzhi Li
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Poster
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Thu 9:00
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On the Robustness of Deep Clustering Models: Adversarial Attacks and Defenses
Anshuman Chhabra · Ashwin Sekhari · Prasant Mohapatra
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Workshop
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Solving Singular Liouville Equations Using Deep Learning
Yuxiang Ji
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Poster
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Thu 9:00
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Asymptotic Properties for Bayesian Neural Network in Besov Space
Kyeongwon Lee · Jaeyong Lee
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Affinity Workshop
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Topic: Building Identification In Aerial Imagery using Deep learning
Proscovia Nakiranda
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Workshop
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EuclidNet: Deep Visual Reasoning for Constructible Problems in Geometry
Man Fai Wong · Xintong Qi · Chee-Wei Tan
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Workshop
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Deep Transformer Q-Networks for Partially Observable Reinforcement Learning
Kevin Esslinger · Robert Platt · Christopher Amato
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Poster
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Tue 9:00
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Uncertainty Estimation Using Riemannian Model Dynamics for Offline Reinforcement Learning
Guy Tennenholtz · Shie Mannor
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