Papers
Multi-task Batch Reinforcement Learning with Metric Learning
Jiachen Li, Quan Vuong, Shuang Liu et al.
Multi-task Causal Learning with Gaussian Processes
Virginia Aglietti, Theodoros Damoulas, Mauricio Álvarez et al.
Multi-Task Reinforcement Learning with Soft Modularization
Ruihan Yang, Huazhe Xu, YI WU et al.
Multi-Task Temporal Shift Attention Networks for On-Device Contactless Vitals Measurement
Xin Liu, Josh Fromm, Shwetak Patel et al.
Multiview Neural Surface Reconstruction by Disentangling Geometry and Appearance
Lior Yariv, Yoni Kasten, Dror Moran et al.
Munchausen Reinforcement Learning
Nino Vieillard, Olivier Pietquin, Matthieu Geist
MuSCLE: Multi Sweep Compression of LiDAR using Deep Entropy Models
Sourav Biswas, Jerry Liu, Kelvin Wong et al.
Mutual exclusivity as a challenge for deep neural networks
Kanishk Gandhi, Brenden M Lake
Myersonian Regression
Allen Liu, Renato Leme, Jon Schneider
NanoFlow: Scalable Normalizing Flows with Sublinear Parameter Complexity
Sang-gil Lee, Sungwon Kim, Sungroh Yoon
Natural Graph Networks
Pim de Haan, Taco S Cohen, Max Welling
Natural Policy Gradient Primal-Dual Method for Constrained Markov Decision Processes
Dongsheng Ding, Kaiqing Zhang, Tamer Basar et al.
Near-Optimal Comparison Based Clustering
Michaël Perrot, Pascal Esser, Debarghya Ghoshdastidar
Near-Optimal Reinforcement Learning with Self-Play
Yu Bai, Chi Jin, Tiancheng Yu
Near-Optimal SQ Lower Bounds for Agnostically Learning Halfspaces and ReLUs under Gaussian Marginals
Ilias Diakonikolas, Daniel Kane, Nikos Zarifis
Network Diffusions via Neural Mean-Field Dynamics
Shushan He, Hongyuan Zha, Xiaojing Ye
Network size and size of the weights in memorization with two-layers neural networks
Sebastien Bubeck, Ronen Eldan, Yin Tat Lee et al.
Network-to-Network Translation with Conditional Invertible Neural Networks
Robin Rombach, Patrick Esser, Bjorn Ommer
NeuMiss networks: differentiable programming for supervised learning with missing values.
Marine Le Morvan, Julie Josse, Thomas Moreau et al.
Neural Anisotropy Directions
Guillermo Ortiz-Jimenez, Apostolos Modas, Seyed-Mohsen Moosavi et al.
Neural Architecture Generator Optimization
Robin Ru, Pedro Esperança, Fabio Maria Carlucci
Neural Bridge Sampling for Evaluating Safety-Critical Autonomous Systems
Aman Sinha, Matthew O'Kelly, Russ Tedrake et al.
Neural Complexity Measures
Yoonho Lee, Juho Lee, Sung Ju Hwang et al.
Neural Controlled Differential Equations for Irregular Time Series
Patrick Kidger, James Morrill, James Foster et al.
Neural Dynamic Policies for End-to-End Sensorimotor Learning
Shikhar Bahl, Mustafa Mukadam, Abhinav Gupta et al.