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Poster
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Wed 9:00
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Large-Scale Differentiable Causal Discovery of Factor Graphs
Romain Lopez · Jan-Christian Huetter · Jonathan Pritchard · Aviv Regev
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Affinity Workshop
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Unsupervised convolutional neural networks-based 3D reconstruction from 2D medical images guided by generative models
Jean-Rassaire Fouefack
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Poster
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Wed 9:00
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A Closer Look at Prototype Classifier for Few-shot Image Classification
Mingcheng Hou · Issei Sato
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Workshop
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Bayesian Optimization with a Neural Network Meta-learned on Synthetic Data Only
Samuel Müller · Sebastian Pineda Arango · Matthias Feurer · Josif Grabocka · Frank Hutter
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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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Workshop
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Frequency Shortcut Learning in Neural Networks
Shunxin Wang · Raymond Veldhuis · Christoph Brune · Nicola Strisciuglio
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Poster
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Tue 14:00
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Surprising Instabilities in Training Deep Networks and a Theoretical Analysis
Yuxin Sun · DONG LAO · Ganesh Sundaramoorthi · Anthony Yezzi
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Poster
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Tue 9:00
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Semantic Diffusion Network for Semantic Segmentation
Haoru Tan · Sitong Wu · Jimin Pi
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Workshop
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How to Combine Variational Bayesian Networks in Federated Learning
Atahan Özer · Kadir Burak Buldu · Abdullah Akgül · Gozde Unal
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Poster
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Tue 14:00
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Asymptotics of ℓ2 Regularized Network Embeddings
Andrew Davison
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Poster
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Thu 9:00
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Geometric Knowledge Distillation: Topology Compression for Graph Neural Networks
Chenxiao Yang · Qitian Wu · Junchi Yan
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Workshop
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Optimal Complexity in Non-Convex Decentralized Learning over Time-Varying Networks
Xinmeng Huang · Kun Yuan
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