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32 Results
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Workshop
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Human alignment of neural network representations Lukas Muttenthaler · Lorenz Linhardt · Jonas Dippel · Robert Vandermeulen · Simon Kornblith |
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Workshop
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Adapting Brain-Like Neural Networks for Modeling Cortical Visual Prostheses Jacob Granley · Alexander Riedel |
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Poster
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Thu 9:00 |
Handcrafted Backdoors in Deep Neural Networks Sanghyun Hong · Nicholas Carlini · Alexey Kurakin |
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Workshop
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Fri 6:30 |
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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Workshop
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Proto-Value Networks: Scaling Representation Learning with Auxiliary Tasks Jesse Farebrother · Joshua Greaves · Rishabh Agarwal · Charline Le Lan · Ross Goroshin · Pablo Samuel Castro · Marc Bellemare |
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Poster
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TTOpt: A Maximum Volume Quantized Tensor Train-based Optimization and its Application to Reinforcement Learning Konstantin Sozykin · Andrei Chertkov · Roman Schutski · Anh-Huy Phan · Andrzej S CICHOCKI · Ivan Oseledets |
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Workshop
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Using Sum-Product Networks to estimate neural population stutcture in the brain Koosha Khalvati · Samantha Johnson · Stefan Mihalas · Michael Buice |
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Poster
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Tue 9:00 |
Distinguishing Learning Rules with Brain Machine Interfaces Jacob Portes · Christian Schmid · James M Murray |
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Poster
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Tue 9:00 |
Brain Network Transformer Xuan Kan · Wei Dai · Hejie Cui · Zilong Zhang · Ying Guo · Carl Yang |
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Workshop
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Scalable Vector Representation for Topological Data Analysis Based Classification Tananun Songdechakraiwut · Bryan Krause · Matthew Banks · Kirill Nourski · Barry Van Veen |
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Workshop
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Proto-Value Networks: Scaling Representation Learning with Auxiliary Tasks Jesse Farebrother · Joshua Greaves · Rishabh Agarwal · Charline Le Lan · Ross Goroshin · Pablo Samuel Castro · Marc Bellemare |
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Workshop
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Fast Implicit Constrained Optimization of Non-decomposable Objectives for Deep Networks Yatong Chen · Abhishek Kumar · Yang Liu · Ehsan Amid |