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Search All 2021 Events
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Algorithms
Algorithms; Algorithms
Algorithms -> Bandit Algorithms; Reinforcement Learning and Planning
Algorithms -> Bandit Algorithms; Theory
Algorithms -> Classification; Algorithms -> Meta-Learning; Applications
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Algorithms -> Classification; Deep Learning -> CNN Architectures; Reinforcement Learning and Planning
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Algorithms -> Regression; Optimization -> Convex Optimization; Theory -> Learning Theory; Theory
Algorithms -> Regression; Probabilistic Methods; Probabilistic Methods
Algorithms -> Representation Learning; Applications -> Computer Vision; Applications
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Algorithms -> Semi-Supervised Learning; Deep Learning -> Optimization for Deep Networks; Optimization
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25 Results
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Poster
Wed 12:45
Curriculum Learning by Optimizing Learning Dynamics
Tianyi Zhou · Shengjie Wang · Jeff Bilmes
Poster
Tue 18:30
Understanding Gradient Clipping In Incremental Gradient Methods
Jiang Qian · Yuren Wu · Bojin Zhuang · Shaojun Wang · Jing Xiao
Poster
Tue 18:30
Mirror Descent View for Neural Network Quantization
Thalaiyasingam Ajanthan · Kartik Gupta · Philip Torr · RICHARD HARTLEY · Puneet Dokania
Poster
Tue 14:00
A Dynamical View on Optimization Algorithms of Overparameterized Neural Networks
Zhiqi Bu · Shiyun Xu · Kan Chen
Poster
Wed 12:45
Faster & More Reliable Tuning of Neural Networks: Bayesian Optimization with Importance Sampling
Setareh Ariafar · Zelda Mariet · Dana Brooks · Jennifer Dy · Jasper Snoek
Poster
Tue 14:00
Fast Adaptation with Linearized Neural Networks
Wesley Maddox · Shuai Tang · Pablo Moreno · Andrew Gordon Wilson · Andreas Damianou
Poster
Thu 7:30
Fractional moment-preserving initialization schemes for training deep neural networks
Mert Gurbuzbalaban · Yuanhan Hu
Poster
Wed 6:00
Deep Neural Networks Are Congestion Games: From Loss Landscape to Wardrop Equilibrium and Beyond
Nina Vesseron · Ievgen Redko · Charlotte Laclau
Poster
Wed 6:00
Regularization Matters: A Nonparametric Perspective on Overparametrized Neural Network
Tianyang Hu · Wenjia Wang · Cong Lin · Guang Cheng
Poster
Thu 7:30
Approximating Lipschitz continuous functions with GroupSort neural networks
Ugo Tanielian · Gerard Biau
Poster
Tue 14:00
Influence Decompositions For Neural Network Attribution
Kyle Reing · Greg Ver Steeg · Aram Galstyan
Poster
Wed 6:00
Adaptive wavelet pooling for convolutional neural networks
Moritz Wolter · Jochen Garcke
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