Papers
Multi-Task Learning as Multi-Objective Optimization
Ozan Sener, Vladlen Koltun
Multi-Task Zipping via Layer-wise Neuron Sharing
Xiaoxi He, Zimu Zhou, Lothar Thiele
Multivariate Convolutional Sparse Coding for Electromagnetic Brain Signals
Tom Dupré la Tour, Thomas Moreau, Mainak Jas et al.
Multivariate Time Series Imputation with Generative Adversarial Networks
Yonghong Luo, Xiangrui Cai, Ying ZHANG et al.
Multi-View Silhouette and Depth Decomposition for High Resolution 3D Object Representation
Edward Smith, Scott Fujimoto, David Meger
M-Walk: Learning to Walk over Graphs using Monte Carlo Tree Search
Yelong Shen, Jianshu Chen, Po-Sen Huang et al.
NAIS-Net: Stable Deep Networks from Non-Autonomous Differential Equations
Marco Ciccone, Marco Gallieri, Jonathan Masci et al.
Natasha 2: Faster Non-Convex Optimization Than SGD
Zeyuan Allen-Zhu
Navigating with Graph Representations for Fast and Scalable Decoding of Neural Language Models
Minjia Zhang, Wenhan Wang, Xiaodong Liu et al.
Nearly tight sample complexity bounds for learning mixtures of Gaussians via sample compression schemes
Hassan Ashtiani, Shai Ben-David, Nicholas Harvey et al.
Near Optimal Exploration-Exploitation in Non-Communicating Markov Decision Processes
Ronan Fruit, Matteo Pirotta, Alessandro Lazaric
Near-Optimal Policies for Dynamic Multinomial Logit Assortment Selection Models
Yining Wang, Xi Chen, Yuan Zhou
Near-Optimal Time and Sample Complexities for Solving Markov Decision Processes with a Generative Model
Aaron Sidford, Mengdi Wang, Xian Wu et al.
Negotiable Reinforcement Learning for Pareto Optimal Sequential Decision-Making
Nishant Desai, Andrew Critch, Stuart Russell
Neighbourhood Consensus Networks
Ignacio Rocco, Mircea Cimpoi, Relja Arandjelović et al.
NEON2: Finding Local Minima via First-Order Oracles
Zeyuan Allen-Zhu, Yuanzhi Li
Neural Architecture Optimization
Renqian Luo, Fei Tian, Tao Qin et al.
Neural Architecture Search with Bayesian Optimisation and Optimal Transport
Kirthevasan Kandasamy, Willie Neiswanger, Jeff Schneider et al.
Neural Arithmetic Logic Units
Andrew Trask, Felix Hill, Scott E Reed et al.
Neural Code Comprehension: A Learnable Representation of Code Semantics
Tal Ben-Nun, Alice Shoshana Jakobovits, Torsten Hoefler
Neural Edit Operations for Biological Sequences
Satoshi Koide, Keisuke Kawano, Takuro Kutsuna
Neural Guided Constraint Logic Programming for Program Synthesis
Lisa Zhang, Gregory Rosenblatt, Ethan Fetaya et al.
Neural Interaction Transparency (NIT): Disentangling Learned Interactions for Improved Interpretability
Michael Tsang, Hanpeng Liu, Sanjay Purushotham et al.
Neural Nearest Neighbors Networks
Tobias Plötz, Stefan Roth