Papers
Learning to Simulate Complex Physics with Graph Networks
Alvaro Sanchez-Gonzalez, Jonathan Godwin, Tobias Pfaff et al.
Learning To Stop While Learning To Predict
Xinshi Chen, Hanjun Dai, Yu Li et al.
Learning What to Defer for Maximum Independent Sets
Sungsoo Ahn, Younggyo Seo, Jinwoo Shin
Learning with Bounded Instance and Label-dependent Label Noise
Jiacheng Cheng, Tongliang Liu, Kotagiri Ramamohanarao et al.
Learning with Feature and Distribution Evolvable Streams
Zhen-Yu Zhang, Peng Zhao, Yuan Jiang et al.
Learning with Good Feature Representations in Bandits and in RL with a Generative Model
Tor Lattimore, Csaba Szepesvari, Gellert Weisz
Learning with Multiple Complementary Labels
Lei Feng, Takuo Kaneko, Bo Han et al.
LEEP: A New Measure to Evaluate Transferability of Learned Representations
Cuong Nguyen, Tal Hassner, Matthias Seeger et al.
Let’s Agree to Agree: Neural Networks Share Classification Order on Real Datasets
Guy Hacohen, Leshem Choshen, Daphna Weinshall
Leveraging Frequency Analysis for Deep Fake Image Recognition
Joel Frank, Thorsten Eisenhofer, Lea Schönherr et al.
Leveraging Procedural Generation to Benchmark Reinforcement Learning
Karl Cobbe, Chris Hesse, Jacob Hilton et al.
Lifted Disjoint Paths with Application in Multiple Object Tracking
Andrea Hornakova, Roberto Henschel, Bodo Rosenhahn et al.
Likelihood-free MCMC with Amortized Approximate Ratio Estimators
Joeri Hermans, Volodimir Begy, Gilles Louppe
Linear bandits with Stochastic Delayed Feedback
Claire Vernade, Alexandra Carpentier, Tor Lattimore et al.
Linear Lower Bounds and Conditioning of Differentiable Games
Adam Ibrahim, Waı̈ss Azizian, Gauthier Gidel et al.
Linear Mode Connectivity and the Lottery Ticket Hypothesis
Jonathan Frankle, Gintare Karolina Dziugaite, Daniel Roy et al.
(Locally) Differentially Private Combinatorial Semi-Bandits
Xiaoyu Chen, Kai Zheng, Zixin Zhou et al.
Logarithmic Regret for Adversarial Online Control
Dylan Foster, Max Simchowitz
Logarithmic Regret for Learning Linear Quadratic Regulators Efficiently
Asaf Cassel, Alon Cohen, Tomer Koren
Lookahead-Bounded Q-learning
Ibrahim El Shar, Daniel Jiang
Lorentz Group Equivariant Neural Network for Particle Physics
Alexander Bogatskiy, Brandon Anderson, Jan Offermann et al.
Loss Function Search for Face Recognition
Xiaobo Wang, Shuo Wang, Cheng Chi et al.
Low Bias Low Variance Gradient Estimates for Boolean Stochastic Networks
Adeel Pervez, Taco Cohen, Efstratios Gavves