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Poster
Fri Jul 17 04:00 AM -- 04:45 AM & Fri Jul 17 05:00 PM -- 05:45 PM (KST)
Data-Efficient Image Recognition with Contrastive Predictive Coding
In Poster Session 55
Olivier Henaff
Poster
Fri Jul 17 04:00 AM -- 04:45 AM & Fri Jul 17 05:00 PM -- 05:45 PM (KST)
Revisiting Training Strategies and Generalization Performance in Deep Metric Learning
In Poster Session 55
Karsten Roth · Timo Milbich · Samrath Sinha · Prateek Gupta · Bjorn Ommer · Joseph Paul Cohen
Poster
Fri Jul 17 04:00 AM -- 04:45 AM & Fri Jul 17 05:00 PM -- 05:45 PM (KST)
Conditional gradient methods for stochastically constrained convex minimization
In Poster Session 55
Maria-Luiza Vladarean · Ahmet Alacaoglu · Ya-Ping Hsieh · Volkan Cevher
Poster
Fri Jul 17 04:00 AM -- 04:45 AM & Fri Jul 17 05:00 PM -- 05:45 PM (KST)
The k-tied Normal Distribution: A Compact Parameterization of Gaussian Mean Field Posteriors in Bayesian Neural Networks
In Poster Session 55
Jakub Swiatkowski · Kevin Roth · Bastiaan Veeling · Linh Tran · Joshua V Dillon · Jasper Snoek · Stephan Mandt · Tim Salimans · Rodolphe Jenatton · Sebastian Nowozin
Poster
Fri Jul 17 04:00 AM -- 04:45 AM & Fri Jul 17 05:00 PM -- 05:45 PM (KST)
Predictive Coding for Locally-Linear Control
In Poster Session 55
Rui Shu · Tung Nguyen · Yinlam Chow · Tuan Pham · Khoat Than · Mohammad Ghavamzadeh · Stefano Ermon · Hung Bui
Poster
Fri Jul 17 04:00 AM -- 04:45 AM & Fri Jul 17 05:00 PM -- 05:45 PM (KST)
Efficient Robustness Certificates for Discrete Data: Sparsity-Aware Randomized Smoothing for Graphs, Images and More
In Poster Session 55
Aleksandar Bojchevski · Johannes Gasteiger · Stephan Günnemann
Poster
Fri Jul 17 04:00 AM -- 04:45 AM & Fri Jul 17 05:00 PM -- 05:45 PM (KST)
Minimally distorted Adversarial Examples with a Fast Adaptive Boundary Attack
In Poster Session 55
Francesco Croce · Matthias Hein
Poster
Fri Jul 17 04:00 AM -- 04:45 AM & Fri Jul 17 05:00 PM -- 05:45 PM (KST)
Discriminative Jackknife: Quantifying Uncertainty in Deep Learning via Higher-Order Influence Functions
In Poster Session 55
Ahmed Alaa · Mihaela van der Schaar
Poster
Fri Jul 17 04:00 AM -- 04:45 AM & Fri Jul 17 05:00 PM -- 05:45 PM (KST) @ Virtual
Graph-based Nearest Neighbor Search: From Practice to Theory
In Poster Session 55
Liudmila Prokhorenkova · Aleksandr Shekhovtsov
Poster
Fri Jul 17 04:00 AM -- 04:45 AM & Fri Jul 17 05:00 PM -- 05:45 PM (KST)
PEGASUS: Pre-training with Extracted Gap-sentences for Abstractive Summarization
In Poster Session 55
Jingqing Zhang · Yao Zhao · Mohammad Saleh · Peter Liu
Poster
Fri Jul 17 04:00 AM -- 04:45 AM & Fri Jul 17 05:00 PM -- 05:45 PM (KST)
The Complexity of Finding Stationary Points with Stochastic Gradient Descent
In Poster Session 55
Yoel Drori · Ohad Shamir
Poster
Fri Jul 17 04:00 AM -- 04:45 AM & Fri Jul 17 05:00 PM -- 05:45 PM (KST)
Learning to Rank Learning Curves
In Poster Session 55
Martin Wistuba · Tejaswini Pedapati
Poster
Fri Jul 17 04:00 AM -- 04:45 AM & Fri Jul 17 05:00 PM -- 05:45 PM (KST)
Frequency Bias in Neural Networks for Input of Non-Uniform Density
In Poster Session 55
Ronen Basri · Meirav Galun · Amnon Geifman · David Jacobs · Yoni Kasten · Shira Kritchman
Poster
Fri Jul 17 04:00 AM -- 04:45 AM & Fri Jul 17 05:00 PM -- 05:45 PM (KST)
Near-optimal Regret Bounds for Stochastic Shortest Path
In Poster Session 55
Aviv Rosenberg · Alon Cohen · Yishay Mansour · Haim Kaplan
Poster
Fri Jul 17 04:00 AM -- 04:45 AM & Fri Jul 17 05:00 PM -- 05:45 PM (KST)
Extra-gradient with player sampling for faster convergence in n-player games
In Poster Session 55
Samy Jelassi · Carles Domingo-Enrich · Damien Scieur · Arthur Mensch · Joan Bruna
Poster
Fri Jul 17 04:00 AM -- 04:45 AM & Fri Jul 17 05:00 PM -- 05:45 PM (KST)
Monte-Carlo Tree Search as Regularized Policy Optimization
In Poster Session 55
Jean-Bastien Grill · Florent Altché · Yunhao Tang · Thomas Hubert · Michal Valko · Ioannis Antonoglou · Remi Munos
Poster
Fri Jul 17 04:00 AM -- 04:45 AM & Fri Jul 17 05:00 PM -- 05:45 PM (KST)
Aggregation of Multiple Knockoffs
In Poster Session 55
Tuan-Binh Nguyen · Jerome-Alexis Chevalier · Thirion Bertrand · Sylvain Arlot
Poster
Fri Jul 17 04:00 AM -- 04:45 AM & Fri Jul 17 05:00 PM -- 05:45 PM (KST)
Bisection-Based Pricing for Repeated Contextual Auctions against Strategic Buyer
In Poster Session 55
Anton Zhiyanov · Alexey Drutsa
Poster
Fri Jul 17 04:00 AM -- 04:45 AM & Fri Jul 17 05:00 PM -- 05:45 PM (KST)
Optimistic Bounds for Multi-output Learning
In Poster Session 55
Henry Reeve · Ata Kaban
Poster
Fri Jul 17 04:00 AM -- 04:45 AM & Fri Jul 17 05:00 PM -- 05:45 PM (KST)
Supervised Quantile Normalization for Low Rank Matrix Factorization
In Poster Session 55
Marco Cuturi · Olivier Teboul · Jonathan Niles-Weed · Jean-Philippe Vert
Poster
Fri Jul 17 05:00 AM -- 05:45 AM & Fri Jul 17 05:00 PM -- 05:45 PM (KST)
Stochastic Differential Equations with Variational Wishart Diffusions
In Poster Session 55
Martin Jørgensen · Marc Deisenroth · Hugh Salimbeni
Poster
Fri Jul 17 05:00 AM -- 05:45 AM & Fri Jul 17 05:00 PM -- 05:45 PM (KST)
Neural Topic Modeling with Continual Lifelong Learning
In Poster Session 55
Pankaj Gupta · Yatin Chaudhary · Thomas Runkler · Hinrich Schuetze
Poster
Fri Jul 17 05:00 AM -- 05:45 AM & Fri Jul 17 05:00 PM -- 05:45 PM (KST)
Spectral Clustering with Graph Neural Networks for Graph Pooling
In Poster Session 55
Filippo Maria Bianchi · Daniele Grattarola · Cesare Alippi
Poster
Fri Jul 17 05:00 AM -- 05:45 AM & Fri Jul 17 05:00 PM -- 05:45 PM (KST)
Predicting Choice with Set-Dependent Aggregation
In Poster Session 55
Nir Rosenfeld · Kojin Oshiba · Yaron Singer
Poster
Fri Jul 17 05:00 AM -- 05:45 AM & Fri Jul 17 05:00 PM -- 05:45 PM (KST)
A quantile-based approach for hyperparameter transfer learning
In Poster Session 55
David Salinas · Huibin Shen · Valerio Perrone
Poster
Fri Jul 17 05:00 AM -- 05:45 AM & Fri Jul 17 05:00 PM -- 05:45 PM (KST)
Graph Filtration Learning
In Poster Session 55
Christoph Hofer · Florian Graf · Bastian Rieck · Marc Niethammer · Roland Kwitt
Poster
Fri Jul 17 05:00 AM -- 05:45 AM & Fri Jul 17 05:00 PM -- 05:45 PM (KST) @ Virtual
Stochastic Latent Residual Video Prediction
In Poster Session 55
Jean-Yves Franceschi · Edouard Delasalles · Mickael Chen · Sylvain Lamprier · Patrick Gallinari
Poster
Fri Jul 17 05:00 AM -- 05:45 AM & Fri Jul 17 05:00 PM -- 05:45 PM (KST)
Stochastic Subspace Cubic Newton Method
In Poster Session 55
Filip Hanzely · Nikita Doikov · Yurii Nesterov · Peter Richtarik
Poster
Fri Jul 17 06:00 AM -- 06:45 AM & Fri Jul 17 05:00 PM -- 05:45 PM (KST)
Inducing and Exploiting Activation Sparsity for Fast Inference on Deep Neural Networks
In Poster Session 55
Mark Kurtz · Justin Kopinsky · Rati Gelashvili · Alexander Matveev · John Carr · Michael Goin · William Leiserson · Sage Moore · Nir Shavit · Dan Alistarh
Poster
Fri Jul 17 06:00 AM -- 06:45 AM & Fri Jul 17 05:00 PM -- 05:45 PM (KST)
Scalable Gaussian Process Separation for Kernels with a Non-Stationary Phase
In Poster Session 55
Jan Graßhoff · Alexandra Jankowski · Philipp Rostalski
Poster
Fri Jul 17 06:00 AM -- 06:45 AM & Fri Jul 17 05:00 PM -- 05:45 PM (KST)
Extrapolation for Large-batch Training in Deep Learning
In Poster Session 55
Tao Lin · Lingjing Kong · Sebastian Stich · Martin Jaggi
Poster
Fri Jul 17 06:00 AM -- 06:45 AM & Fri Jul 17 05:00 PM -- 05:45 PM (KST)
Anderson Acceleration of Proximal Gradient Methods
In Poster Session 55
Vien Mai · Mikael Johansson