Papers
11,015 papers found
MGAN: Training Generative Adversarial Nets with Multiple Generators
Quan Hoang, Tu Dinh Nguyen, Trung Le et al.
Minimal-Entropy Correlation Alignment for Unsupervised Deep Domain Adaptation
Pietro Morerio, Jacopo Cavazza, Vittorio Murino
Minimax Curriculum Learning: Machine Teaching with Desirable Difficulties and Scheduled Diversity
Tianyi Zhou, Jeff Bilmes
Mitigating Adversarial Effects Through Randomization
Cihang Xie, Jianyu Wang, Zhishuai Zhang et al.
Mixed Precision Training
Paulius Micikevicius, Sharan Narang, Jonah Alben et al.
Mixed Precision Training of Convolutional Neural Networks using Integer Operations
Dipankar Das, Naveen Mellempudi, Dheevatsa Mudigere et al.
mixup: Beyond Empirical Risk Minimization
Hongyi Zhang, Moustapha Cisse, Yann N. Dauphin et al.
Model compression via distillation and quantization
Antonio Polino, Razvan Pascanu, Dan Alistarh
Model-Ensemble Trust-Region Policy Optimization
Thanard Kurutach, Ignasi Clavera, Yan Duan et al.
Modular Continual Learning in a Unified Visual Environment
Kevin T. Feigelis, Blue Sheffer, Daniel L. K. Yamins
Monotonic Chunkwise Attention
Chung-Cheng Chiu*, Colin Raffel*
Multi-level Residual Networks from Dynamical Systems View
Bo Chang, Lili Meng, Eldad Haber et al.
Multi-Mention Learning for Reading Comprehension with Neural Cascades
Swabha Swayamdipta, Ankur P. Parikh, Tom Kwiatkowski
Multi-Scale Dense Networks for Resource Efficient Image Classification
Gao Huang, Danlu Chen, Tianhong Li et al.
Multi-Task Learning for Document Ranking and Query Suggestion
Wasi Uddin Ahmad, Kai-Wei Chang, Hongning Wang
Multi-View Data Generation Without View Supervision
Mickael Chen, Ludovic Denoyer, Thierry Artières
N2N learning: Network to Network Compression via Policy Gradient Reinforcement Learning
Anubhav Ashok, Nicholas Rhinehart, Fares Beainy et al.
Natural Language Inference over Interaction Space
Yichen Gong, Heng Luo, Jian Zhang
NerveNet: Learning Structured Policy with Graph Neural Networks
Tingwu Wang, Renjie Liao, Jimmy Ba et al.
Neumann Optimizer: A Practical Optimization Algorithm for Deep Neural Networks
Shankar Krishnan, Ying Xiao, Rif. A. Saurous
Neural-Guided Deductive Search for Real-Time Program Synthesis from Examples
Ashwin Kalyan, Abhishek Mohta, Oleksandr Polozov et al.
Neural Language Modeling by Jointly Learning Syntax and Lexicon
Yikang Shen, Zhouhan Lin, Chin-wei Huang et al.
Neural Map: Structured Memory for Deep Reinforcement Learning
Emilio Parisotto, Ruslan Salakhutdinov
Neural Sketch Learning for Conditional Program Generation
Vijayaraghavan Murali, Letao Qi, Swarat Chaudhuri et al.
Neural Speed Reading via Skim-RNN
Minjoon Seo, Sewon Min, Ali Farhadi et al.