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Spotlight
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Tue 19:10
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Learning Affordance Landscapes for Interaction Exploration in 3D Environments
Tushar Nagarajan · Kristen Grauman
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Poster
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Wed 9:00
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The interplay between randomness and structure during learning in RNNs
Friedrich Schuessler · Francesca Mastrogiuseppe · Alexis Dubreuil · Srdjan Ostojic · Omri Barak
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Oral
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Wed 6:30
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The interplay between randomness and structure during learning in RNNs
Friedrich Schuessler · Francesca Mastrogiuseppe · Alexis Dubreuil · Srdjan Ostojic · Omri Barak
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Workshop
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Fri 11:30
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Invited speaker: Concentration for matrix products, and convergence of Oja’s algorithm for streaming PCA, Rachel Ward
Rachel Ward
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Poster
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Thu 9:00
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Leveraging Predictions in Smoothed Online Convex Optimization via Gradient-based Algorithms
Yingying Li · Na Li
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Poster
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Wed 9:00
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Why Do Deep Residual Networks Generalize Better than Deep Feedforward Networks? --- A Neural Tangent Kernel Perspective
Kaixuan Huang · Yuqing Wang · Molei Tao · Tuo Zhao
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Poster
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Mon 21:00
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Model-based Reinforcement Learning for Semi-Markov Decision Processes with Neural ODEs
Jianzhun Du · Joseph Futoma · Finale Doshi-Velez
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Oral
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Thu 18:30
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Fully Dynamic Algorithm for Constrained Submodular Optimization
Silvio Lattanzi · Slobodan Mitrović · Ashkan Norouzi-Fard · Jakub Tarnawski · Morteza Zadimoghaddam
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Poster
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Tue 21:00
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Guiding Deep Molecular Optimization with Genetic Exploration
Sungsoo Ahn · Junsu Kim · Hankook Lee · Jinwoo Shin
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Poster
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Thu 21:00
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Estimating Training Data Influence by Tracing Gradient Descent
Garima Pruthi · Frederick Liu · Satyen Kale · Mukund Sundararajan
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Poster
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Wed 9:00
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Bridging the Gap between Sample-based and One-shot Neural Architecture Search with BONAS
Han Shi · Renjie Pi · Hang Xu · Zhenguo Li · James Kwok · Tong Zhang
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Poster
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Thu 21:00
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Constraining Variational Inference with Geometric Jensen-Shannon Divergence
Jacob Deasy · Nikola Simidjievski · Pietro Lió
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