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Poster
Wed Jul 15 01:00 PM -- 01:45 PM & Thu Jul 16 02:00 AM -- 02:45 AM (PDT) @ Virtual
Convergence of a Stochastic Gradient Method with Momentum for Non-Smooth Non-Convex Optimization
Vien Mai · Mikael Johansson
[ Slides
Poster
Wed Jul 15 01:00 PM -- 01:45 PM & Thu Jul 16 02:00 AM -- 02:45 AM (PDT) @ Virtual
Leveraging Frequency Analysis for Deep Fake Image Recognition
Joel Frank · Thorsten Eisenhofer · Lea Schönherr · Asja Fischer · Dorothea Kolossa · Thorsten Holz
[ Slides
Poster
Wed Jul 15 01:00 PM -- 01:45 PM & Thu Jul 16 02:00 AM -- 02:45 AM (PDT) @ Virtual
Interference and Generalization in Temporal Difference Learning
Emmanuel Bengio · Joelle Pineau · Doina Precup
[ Slides
Poster
Wed Jul 15 01:00 PM -- 01:45 PM & Thu Jul 16 02:00 AM -- 02:45 AM (PDT) @ Virtual
Fast Adaptation to New Environments via Policy-Dynamics Value Functions
Roberta Raileanu · Max Goldstein · Arthur Szlam · Facebook Rob Fergus
[ Slides
Poster
Wed Jul 15 01:00 PM -- 01:45 PM & Thu Jul 16 02:00 AM -- 02:45 AM (PDT) @ Virtual
On the Sample Complexity of Adversarial Multi-Source PAC Learning
Nikola Konstantinov · Elias Frantar · Dan Alistarh · Christoph H. Lampert
[ Slides
Poster
Wed Jul 15 01:00 PM -- 01:45 PM & Thu Jul 16 01:00 AM -- 01:45 AM (PDT)
Super-efficiency of automatic differentiation for functions defined as a minimum
Pierre Ablin · Gabriel Peyré · Thomas Moreau
Poster
Wed Jul 15 01:00 PM -- 01:45 PM & Thu Jul 16 02:00 AM -- 02:45 AM (PDT)
Scalable and Efficient Comparison-based Search without Features
Daniyar Chumbalov · Lucas Maystre · Matthias Grossglauser
Poster
Wed Jul 15 01:00 PM -- 01:45 PM & Thu Jul 16 01:00 AM -- 01:45 AM (PDT) @ Virtual
On the Generalization Benefit of Noise in Stochastic Gradient Descent
Samuel Smith · Erich Elsen · Soham De
[ Slides
Poster
Wed Jul 15 01:00 PM -- 01:45 PM & Thu Jul 16 02:00 AM -- 02:45 AM (PDT)
Implicit Geometric Regularization for Learning Shapes
Amos Gropp · Lior Yariv · Niv Haim · Matan Atzmon · Yaron Lipman
Poster
Wed Jul 15 01:00 PM -- 01:45 PM & Thu Jul 16 12:00 AM -- 12:45 AM (PDT) @ Virtual
Boosting Frank-Wolfe by Chasing Gradients
Cyrille W. Combettes · Sebastian Pokutta
[ Slides
Poster
Wed Jul 15 01:00 PM -- 01:45 PM & Thu Jul 16 02:00 AM -- 02:45 AM (PDT)
Continuous Time Bayesian Networks with Clocks
Nicolai Engelmann · Dominik Linzner · Heinz Koeppl
Poster
Wed Jul 15 01:00 PM -- 01:45 PM & Thu Jul 16 12:00 AM -- 12:45 AM (PDT)
Up or Down? Adaptive Rounding for Post-Training Quantization
Markus Nagel · Rana Ali Amjad · Marinus van Baalen · Christos Louizos · Tijmen Blankevoort
Poster
Wed Jul 15 01:00 PM -- 01:45 PM & Thu Jul 16 02:00 AM -- 02:45 AM (PDT) @ Virtual
State Space Expectation Propagation: Efficient Inference Schemes for Temporal Gaussian Processes
William Wilkinson · Paul Chang · Michael Andersen · Arno Solin
[ Slides
Poster
Wed Jul 15 01:00 PM -- 01:45 PM & Thu Jul 16 12:00 AM -- 12:45 AM (PDT)
Estimating the Error of Randomized Newton Methods: A Bootstrap Approach
Miles Lopes · Jessie X.T. Chen
Poster
Wed Jul 15 01:00 PM -- 01:45 PM & Thu Jul 16 01:00 AM -- 01:45 AM (PDT)
Adding seemingly uninformative labels helps in low data regimes
Christos Matsoukas · Albert Bou Hernandez · Yue Liu · Karin Dembrower · Gisele Miranda · Emir Konuk · Johan Fredin Haslum · Athanasios Zouzos · Peter Lindholm · Fredrik Strand · Kevin Smith
Poster
Wed Jul 15 01:00 PM -- 01:45 PM & Thu Jul 16 02:00 AM -- 02:45 AM (PDT) @ Virtual
Bayesian Learning from Sequential Data using Gaussian Processes with Signature Covariances
Csaba Toth · Harald Oberhauser
[ Slides
Poster
Wed Jul 15 01:00 PM -- 01:45 PM & Thu Jul 16 01:00 AM -- 01:45 AM (PDT)
Discriminative Adversarial Search for Abstractive Summarization
Thomas Scialom · Paul-Alexis Dray · Sylvain Lamprier · Benjamin Piwowarski · Jacopo Staiano
Poster
Wed Jul 15 01:00 PM -- 01:45 PM & Thu Jul 16 01:00 AM -- 01:45 AM (PDT)
Involutive MCMC: a Unifying Framework
Kirill Neklyudov · Max Welling · Evgenii Egorov · Dmitry Vetrov
Poster
Wed Jul 15 01:00 PM -- 01:45 PM & Thu Jul 16 02:00 AM -- 02:45 AM (PDT)
Quantum Boosting
Srinivasan Arunachalam · Reevu Maity
Poster
Wed Jul 15 01:00 PM -- 01:45 PM & Thu Jul 16 01:00 AM -- 01:45 AM (PDT)
Transformers are RNNs: Fast Autoregressive Transformers with Linear Attention
Angelos Katharopoulos · Apoorv Vyas · Nikolaos Pappas · François Fleuret
Poster
Wed Jul 15 01:00 PM -- 01:45 PM & Thu Jul 16 02:00 AM -- 02:45 AM (PDT)
Growing Adaptive Multi-hyperplane Machines
Nemanja Djuric · Zhuang Wang · Slobodan Vucetic
Poster
Wed Jul 15 01:00 PM -- 01:45 PM & Thu Jul 16 02:00 AM -- 02:45 AM (PDT)
A Unified Theory of Decentralized SGD with Changing Topology and Local Updates
Anastasiia Koloskova · Nicolas Loizou · Sadra Boreiri · Martin Jaggi · Sebastian Stich
Poster
Wed Jul 15 01:00 PM -- 01:45 PM & Thu Jul 16 12:00 AM -- 12:45 AM (PDT)
Attentive Group Equivariant Convolutional Networks
David Romero · Erik Bekkers · Jakub Tomczak · Mark Hoogendoorn
Poster
Wed Jul 15 01:00 PM -- 01:45 PM & Thu Jul 16 01:00 AM -- 01:45 AM (PDT) @ Virtual
Student-Teacher Curriculum Learning via Reinforcement Learning: Predicting Hospital Inpatient Admission Location
Rasheed El-Bouri · David Eyre · Peter Watkinson · Tingting Zhu · David Clifton
[ Slides
Poster
Wed Jul 15 01:00 PM -- 01:45 PM & Thu Jul 16 02:00 AM -- 02:45 AM (PDT) @ Virtual
Generalisation error in learning with random features and the hidden manifold model
Federica Gerace · Bruno Loureiro · Florent Krzakala · Marc Mezard · Lenka Zdeborova
[ Slides
Poster
Wed Jul 15 01:00 PM -- 01:45 PM & Thu Jul 16 02:00 AM -- 02:45 AM (PDT)
A Natural Lottery Ticket Winner: Reinforcement Learning with Ordinary Neural Circuits
Ramin Hasani · Mathias Lechner · Alexander Amini · Daniela Rus · Radu Grosu
Poster
Wed Jul 15 01:00 PM -- 01:45 PM & Thu Jul 16 01:00 AM -- 01:45 AM (PDT)
Self-Attentive Hawkes Process
Qiang Zhang · Aldo Lipani · Omer Kirnap · Emine Yilmaz
Poster
Wed Jul 15 01:00 PM -- 01:45 PM & Thu Jul 16 01:00 AM -- 01:45 AM (PDT) @ Virtual
Interpretations are Useful: Penalizing Explanations to Align Neural Networks with Prior Knowledge
Laura Rieger · Chandan Singh · William Murdoch · Bin Yu
[ Slides