Papers
11,951 papers found
Kernel of CycleGAN as a principal homogeneous space
Nikita Moriakov, Jonas Adler, Jonas Teuwen
Knowledge Consistency between Neural Networks and Beyond
Ruofan Liang, Tianlin Li, Longfei Li et al.
Lagrangian Fluid Simulation with Continuous Convolutions
Benjamin Ummenhofer, Lukas Prantl, Nils Thuerey et al.
LambdaNet: Probabilistic Type Inference using Graph Neural Networks
Jiayi Wei, Maruth Goyal, Greg Durrett et al.
LAMOL: LAnguage MOdeling for Lifelong Language Learning
Fan-Keng Sun*, Cheng-Hao Ho*, Hung-Yi Lee
Language GANs Falling Short
Massimo Caccia, Lucas Caccia, William Fedus et al.
Large Batch Optimization for Deep Learning: Training BERT in 76 minutes
Yang You, Jing Li, Sashank Reddi et al.
Latent Normalizing Flows for Many-to-Many Cross-Domain Mappings
Shweta Mahajan, Iryna Gurevych, Stefan Roth
Lazy-CFR: fast and near-optimal regret minimization for extensive games with imperfect information
Yichi Zhou, Tongzheng Ren, Jialian Li et al.
LEARNED STEP SIZE QUANTIZATION
Steven K. Esser, Jeffrey L. McKinstry, Deepika Bablani et al.
Learning-Augmented Data Stream Algorithms
Tanqiu Jiang, Yi Li, Honghao Lin et al.
Learning Compositional Koopman Operators for Model-Based Control
Yunzhu Li, Hao He, Jiajun Wu et al.
Learning Constrained Dynamics with Gauss’ Principle adhering Gaussian Processes
Andreas Geist, Sebastian Trimpe
Learning deep graph matching with channel-independent embedding and Hungarian attention
Tianshu Yu, Runzhong Wang, Junchi Yan et al.
Learning Disentangled Representations for CounterFactual Regression
Negar Hassanpour, Russell Greiner
Learning Efficient Parameter Server Synchronization Policies for Distributed SGD
Rong Zhu, Sheng Yang, Andreas Pfadler et al.
LEARNING EXECUTION THROUGH NEURAL CODE FUSION
Zhan Shi, Kevin Swersky, Daniel Tarlow et al.
Learning Expensive Coordination: An Event-Based Deep RL Approach
Zhenyu Shi*, Runsheng Yu*, Xinrun Wang* et al.
Learning from Explanations with Neural Execution Tree
Ziqi Wang*, Yujia Qin*, Wenxuan Zhou et al.
Learning from Rules Generalizing Labeled Exemplars
Abhijeet Awasthi, Sabyasachi Ghosh, Rasna Goyal et al.
Learning from Unlabelled Videos Using Contrastive Predictive Neural 3D Mapping
Adam W. Harley, Shrinidhi K. Lakshmikanth, Fangyu Li et al.
Learning Heuristics for Quantified Boolean Formulas through Reinforcement Learning
Gil Lederman, Markus Rabe, Sanjit Seshia et al.
Learning Hierarchical Discrete Linguistic Units from Visually-Grounded Speech
David Harwath*, Wei-Ning Hsu*, James Glass
Learning Nearly Decomposable Value Functions Via Communication Minimization
Tonghan Wang*, Jianhao Wang*, Chongyi Zheng et al.