Papers
11,951 papers found
Mutual Information Gradient Estimation for Representation Learning
Liangjian Wen, Yiji Zhou, Lirong He et al.
Mutual Mean-Teaching: Pseudo Label Refinery for Unsupervised Domain Adaptation on Person Re-identification
Yixiao Ge, Dapeng Chen, Hongsheng Li
NAS-Bench-1Shot1: Benchmarking and Dissecting One-shot Neural Architecture Search
Arber Zela, Julien Siems, Frank Hutter
NAS-Bench-201: Extending the Scope of Reproducible Neural Architecture Search
Xuanyi Dong, Yi Yang
NAS evaluation is frustratingly hard
Antoine Yang, Pedro M. Esperança, Fabio M. Carlucci
N-BEATS: Neural basis expansion analysis for interpretable time series forecasting
Boris N. Oreshkin, Dmitri Carpov, Nicolas Chapados et al.
Nesterov Accelerated Gradient and Scale Invariance for Adversarial Attacks
Jiadong Lin, Chuanbiao Song, Kun He et al.
NetTLP: A Development Platform for PCIe devices in Software Interacting with Hardware
Yohei Kuga, Ryo Nakamura, Takeshi Matsuya et al.
Network Deconvolution
Chengxi Ye, Matthew Evanusa, Hua He et al.
Network Randomization: A Simple Technique for Generalization in Deep Reinforcement Learning
Kimin Lee, Kibok Lee, Jinwoo Shin et al.
Neural Arithmetic Units
Andreas Madsen, Alexander Rosenberg Johansen
Neural Epitome Search for Architecture-Agnostic Network Compression
Daquan Zhou, Xiaojie Jin, Qibin Hou et al.
Neural Execution of Graph Algorithms
Petar Veličković, Rex Ying, Matilde Padovano et al.
Neural Machine Translation with Universal Visual Representation
Zhuosheng Zhang, Kehai Chen, Rui Wang et al.
Neural Mesh Flow: 3D Manifold Mesh Generation via Diffeomorphic Flows
Kunal Gupta, Manmohan Chandraker
Neural Module Networks for Reasoning over Text
Nitish Gupta, Kevin Lin, Dan Roth et al.
Neural Network Branching for Neural Network Verification
Jingyue Lu, M. Pawan Kumar
Neural Oblivious Decision Ensembles for Deep Learning on Tabular Data
Sergei Popov, Stanislav Morozov, Artem Babenko
Neural Outlier Rejection for Self-Supervised Keypoint Learning
Jiexiong Tang, Hanme Kim, Vitor Guizilini et al.
Neural Policy Gradient Methods: Global Optimality and Rates of Convergence
Lingxiao Wang, Qi Cai, Zhuoran Yang et al.
Neural Stored-program Memory
Hung Le, Truyen Tran, Svetha Venkatesh
Neural Symbolic Reader: Scalable Integration of Distributed and Symbolic Representations for Reading Comprehension
Xinyun Chen, Chen Liang, Adams Wei Yu et al.
Neural tangent kernels, transportation mappings, and universal approximation
Ziwei Ji, Matus Telgarsky, Ruicheng Xian
Neural Tangents: Fast and Easy Infinite Neural Networks in Python
Roman Novak, Lechao Xiao, Jiri Hron et al.
Neural Text Generation With Unlikelihood Training
Sean Welleck, Ilia Kulikov, Stephen Roller et al.