Papers
Steering Distortions to Preserve Classes and Neighbors in Supervised Dimensionality Reduction
Benoît Colange, Jaakko Peltonen, Michael Aupetit et al.
Fictitious Play for Mean Field Games: Continuous Time Analysis and Applications
Sarah Perrin, Julien Perolat, Mathieu Lauriere et al.
Node Embeddings and Exact Low-Rank Representations of Complex Networks
Sudhanshu Chanpuriya, Cameron Musco, Konstantinos Sotiropoulos et al.
Grasp Proposal Networks: An End-to-End Solution for Visual Learning of Robotic Grasps
Chaozheng Wu, Jian Chen, Qiaoyu Cao et al.
Exemplar Guided Active Learning
Jason S Hartford, Kevin Leyton-Brown, Hadas Raviv et al.
POMDPs in Continuous Time and Discrete Spaces
Bastian Alt, Matthias Schultheis, Heinz Koeppl
Language-Conditioned Imitation Learning for Robot Manipulation Tasks
Simon Stepputtis, Joseph P. Campbell, Mariano Phielipp et al.
Self-Learning Transformations for Improving Gaze and Head Redirection
Yufeng Zheng, Seonwook Park, Xucong Zhang et al.
Quantifying Learnability and Describability of Visual Concepts Emerging in Representation Learning
Iro Laina, Ruth Fong, Andrea Vedaldi
Deep Energy-based Modeling of Discrete-Time Physics
Takashi Matsubara, Ai Ishikawa, Takaharu Yaguchi
Learning from Positive and Unlabeled Data with Arbitrary Positive Shift
Zayd Hammoudeh, Daniel Lowd
Simulating a Primary Visual Cortex at the Front of CNNs Improves Robustness to Image Perturbations
Joel Dapello, Tiago Marques, Martin Schrimpf et al.
A Spectral Energy Distance for Parallel Speech Synthesis
Alexey Gritsenko, Tim Salimans, Rianne van den Berg et al.
Emergent Complexity and Zero-shot Transfer via Unsupervised Environment Design
Michael Dennis, Natasha Jaques, Eugene Vinitsky et al.
Reconstructing Perceptive Images from Brain Activity by Shape-Semantic GAN
Tao Fang, Yu Qi, Gang Pan
EcoLight: Intersection Control in Developing Regions Under Extreme Budget and Network Constraints
Sachin Chauhan, Kashish Bansal, Rijurekha Sen
Timeseries Anomaly Detection using Temporal Hierarchical One-Class Network
Lifeng Shen, Zhuocong Li, James T. Kwok
The phase diagram of approximation rates for deep neural networks
Dmitry Yarotsky, Anton Zhevnerchuk
Sample complexity and effective dimension for regression on manifolds
Andrew McRae, Justin Romberg, Mark Davenport
CompRess: Self-Supervised Learning by Compressing Representations
Soroush Abbasi Koohpayegani, Ajinkya Tejankar, Hamed Pirsiavash
Trajectory-wise Multiple Choice Learning for Dynamics Generalization in Reinforcement Learning
Younggyo Seo, Kimin Lee, Ignasi Clavera Gilaberte et al.
Debiasing Averaged Stochastic Gradient Descent to handle missing values
Aude Sportisse, Claire Boyer, Aymeric Dieuleveut et al.
Autofocused oracles for model-based design
Clara Fannjiang, Jennifer Listgarten
Robust Optimal Transport with Applications in Generative Modeling and Domain Adaptation
Yogesh Balaji, Rama Chellappa, Soheil Feizi
Fully Dynamic Algorithm for Constrained Submodular Optimization
Silvio Lattanzi, Slobodan Mitrović, Ashkan Norouzi-Fard et al.