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Workshop
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Sat 18:30
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Panel - Geoffrey Hinton, Irina Rish, Edouard Oyallon, Timoleon Moraitis - Localized Learning: Past, Present and Future
Mengye Ren
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Workshop
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Efficient Estimation of Local Robustness of Machine Learning Models
Tessa Han · Suraj Srinivas · Himabindu Lakkaraju
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Poster
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Wed 17:00
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A Unified Audio-Visual Learning Framework for Localization, Separation, and Recognition
Shentong Mo · Pedro Morgado
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Workshop
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Sat 17:15
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Training Spiking Neural Networks with Local Tandem Learning
Qu Yang
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Oral
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Tue 21:26
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Marginalization is not Marginal: No Bad VAE Local Minima when Learning Optimal Sparse Representations
David Wipf
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Poster
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Thu 13:30
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Multi-Task Structural Learning using Local Task Similarity induced Neuron Creation and Removal
Naresh Kumar Gurulingan · Bahram Zonooz · Elahe Arani
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Poster
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Thu 16:30
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Learning Instance-Specific Augmentations by Capturing Local Invariances
Ning Miao · Tom Rainforth · Emile Mathieu · Yann Dubois · Yee-Whye Teh · Adam Foster · Hyunjik Kim
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Poster
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Wed 14:00
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Neural Wave Machines: Learning Spatiotemporally Structured Representations with Locally Coupled Oscillatory Recurrent Neural Networks
T. Anderson Keller · Max Welling
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Poster
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Wed 17:00
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Marginalization is not Marginal: No Bad VAE Local Minima when Learning Optimal Sparse Representations
David Wipf
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Workshop
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The Local Inconsistency Resolution Algorithm
Oliver Richardson
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Workshop
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The Local Inconsistency Resolution Algorithm
Oliver Richardson
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Workshop
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Demystifying Local and Global Fairness Trade-offs in Federated Learning Using Information Theory
Faisal Hamman · Sanghamitra Dutta
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