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Poster
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Wed 14:00
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ReFactor GNNs: Revisiting Factorisation-based Models from a Message-Passing Perspective
Yihong Chen · Pushkar Mishra · Luca Franceschi · Pasquale Minervini · Pontus Lars Erik Saito Stenetorp · Sebastian Riedel
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Poster
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Thu 14:00
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Graph Neural Networks are Dynamic Programmers
Andrew J Dudzik · Petar Veličković
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Workshop
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Improving Levenberg-Marquardt Algorithm for Neural Networks
Omead Pooladzandi · Yiming Zhou
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Invited Talk
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Thu 12:30
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The Forward-Forward Algorithm for Training Deep Neural Networks
Geoffrey Hinton
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Poster
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Wed 9:00
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Stability and Generalization Analysis of Gradient Methods for Shallow Neural Networks
Yunwen Lei · Rong Jin · Yiming Ying
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Workshop
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Look Back When Surprised: Stabilizing Reverse Experience Replay for Neural Approximation
Ramnath Kumar · Dheeraj Nagaraj
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Workshop
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Fri 6:30
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Has it Trained Yet? A Workshop for Algorithmic Efficiency in Practical Neural Network Training
Frank Schneider · Zachary Nado · Philipp Hennig · George Dahl · Naman Agarwal
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Affinity Workshop
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SOIL MINERAL DEFICIENCY DETECTION USING A DEEP LEARNING ALGORITHM COMMONLY KNOWN AS CONVOLUTIONAL NEURAL NETWORKS
Jean Amukwatse
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Workshop
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Out-of-Distribution Generalization in Algorithmic Reasoning Through Curriculum Learning
Andrew Nam · Mustafa Abdool · Trevor Maxfield · James McClelland
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Poster
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Thu 14:00
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Recall Distortion in Neural Network Pruning and the Undecayed Pruning Algorithm
Aidan Good · Jiaqi Lin · Xin Yu · Hannah Sieg · Mikey Fergurson · Shandian Zhe · Jerzy Wieczorek · Thiago Serra
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Workshop
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Toward Neural Network Simulation of Variational Quantum Algorithms
Oliver Knitter · James Stokes · Shravan Veerapaneni
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Workshop
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A Better Way to Decay: Proximal Gradient Training Algorithms for Neural Nets
Liu Yang · Jifan Zhang · Joseph Shenouda · Dimitris Papailiopoulos · Kangwook Lee · Robert Nowak
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