Papers
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
Neural Networks Trained to Solve Differential Equations Learn General Representations
Martin Magill, Faisal Qureshi, Hendrick de Haan
Neural Ordinary Differential Equations
Ricky T. Q. Chen, Yulia Rubanova, Jesse Bettencourt et al.
Neural Proximal Gradient Descent for Compressive Imaging
Morteza Mardani, Qingyun Sun, David Donoho et al.
Neural-Symbolic VQA: Disentangling Reasoning from Vision and Language Understanding
Kexin Yi, Jiajun Wu, Chuang Gan et al.
Neural Tangent Kernel: Convergence and Generalization in Neural Networks
Arthur Jacot, Franck Gabriel, Clement Hongler
Neural Voice Cloning with a Few Samples
Sercan Arik, Jitong Chen, Kainan Peng et al.
New Insight into Hybrid Stochastic Gradient Descent: Beyond With-Replacement Sampling and Convexity
Pan Zhou, Xiaotong Yuan, Jiashi Feng
Non-Adversarial Mapping with VAEs
Yedid Hoshen
Non-delusional Q-learning and value-iteration
Tyler Lu, Dale Schuurmans, Craig Boutilier
Nonlocal Neural Networks, Nonlocal Diffusion and Nonlocal Modeling
Yunzhe Tao, Qi Sun, Qiang Du et al.
Non-Local Recurrent Network for Image Restoration
Ding Liu, Bihan Wen, Yuchen Fan et al.
Non-metric Similarity Graphs for Maximum Inner Product Search
Stanislav Morozov, Artem Babenko
Non-monotone Submodular Maximization in Exponentially Fewer Iterations
Eric Balkanski, Adam Breuer, Yaron Singer
Nonparametric Bayesian Lomax delegate racing for survival analysis with competing risks
Quan Zhang, Mingyuan Zhou
Nonparametric Density Estimation under Adversarial Losses
Shashank Singh, Ananya Uppal, Boyue Li et al.
Nonparametric learning from Bayesian models with randomized objective functions
Simon Lyddon, Stephen Walker, Chris C Holmes
Norm matters: efficient and accurate normalization schemes in deep networks
Elad Hoffer, Ron Banner, Itay Golan et al.
Norm-Ranging LSH for Maximum Inner Product Search
Xiao Yan, Jinfeng Li, Xinyan Dai et al.
Objective and efficient inference for couplings in neuronal networks
Yu Terada, Tomoyuki Obuchi, Takuya Isomura et al.
Object-Oriented Dynamics Predictor
Guangxiang Zhu, Zhiao Huang, Chongjie Zhang
Occam's razor is insufficient to infer the preferences of irrational agents
Stuart Armstrong, Sören Mindermann
On Binary Classification in Extreme Regions
Hamid JALALZAI, Stephan Clémençon, Anne Sabourin