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Poster
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Thu 9:00
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Collaborative Learning of Discrete Distributions under Heterogeneity and Communication Constraints
Xinmeng Huang · Donghwan Lee · Edgar Dobriban · Hamed Hassani
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Poster
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Leveraging Inter-Layer Dependency for Post -Training Quantization
changbao wang · DanDan Zheng · Yuanliu Liu · Liang Li
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Poster
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Enhance the Visual Representation via Discrete Adversarial Training
Xiaofeng Mao · YueFeng Chen · Ranjie Duan · Yao Zhu · Gege Qi · shaokai ye · Xiaodan Li · Rong Zhang · Hui Xue'
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Poster
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Wed 14:00
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Learning Distinct and Representative Modes for Image Captioning
Qi Chen · Chaorui Deng · Qi Wu
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Poster
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Thu 9:00
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Bivariate Causal Discovery for Categorical Data via Classification with Optimal Label Permutation
Yang Ni
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Poster
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Tue 9:00
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Gradient Estimation with Discrete Stein Operators
Jiaxin Shi · Yuhao Zhou · Jessica Hwang · Michalis Titsias · Lester Mackey
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Poster
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Wed 14:00
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Neural Set Function Extensions: Learning with Discrete Functions in High Dimensions
Nikolaos Karalias · Joshua Robinson · Andreas Loukas · Stefanie Jegelka
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Poster
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Tue 14:00
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Draft-and-Revise: Effective Image Generation with Contextual RQ-Transformer
Doyup Lee · Chiheon Kim · Saehoon Kim · Minsu Cho · WOOK SHIN HAN
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Poster
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Thu 9:00
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Toward Equation of Motion for Deep Neural Networks: Continuous-time Gradient Descent and Discretization Error Analysis
Taiki Miyagawa
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Poster
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Tue 9:00
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Accelerated Training of Physics-Informed Neural Networks (PINNs) using Meshless Discretizations
Ramansh Sharma · Varun Shankar
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Poster
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Thu 9:00
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A Continuous Time Framework for Discrete Denoising Models
Andrew Campbell · Joe Benton · Valentin De Bortoli · Thomas Rainforth · George Deligiannidis · Arnaud Doucet
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Poster
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Thu 14:00
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Towards Robust Blind Face Restoration with Codebook Lookup Transformer
Shangchen Zhou · Kelvin Chan · Chongyi Li · Chen Change Loy
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