Papers
11,015 papers found
Interpretable Complex-Valued Neural Networks for Privacy Protection
Liyao Xiang, Hao Zhang, Haotian Ma et al.
Intriguing Properties of Adversarial Training at Scale
Cihang Xie, Alan Yuille
Intrinsically Motivated Discovery of Diverse Patterns in Self-Organizing Systems
Chris Reinke, Mayalen Etcheverry, Pierre-Yves Oudeyer
Intrinsic Motivation for Encouraging Synergistic Behavior
Rohan Chitnis, Shubham Tulsiani, Saurabh Gupta et al.
Is a Good Representation Sufficient for Sample Efficient Reinforcement Learning?
Simon S. Du, Sham M. Kakade, Ruosong Wang et al.
Iterative energy-based projection on a normal data manifold for anomaly localization
David Dehaene, Oriel Frigo, Sébastien Combrexelle et al.
Jacobian Adversarially Regularized Networks for Robustness
Alvin Chan, Yi Tay, Yew Soon Ong et al.
Jelly Bean World: A Testbed for Never-Ending Learning
Emmanouil Antonios Platanios, Abulhair Saparov, Tom Mitchell
Kaleidoscope: An Efficient, Learnable Representation For All Structured Linear Maps
Tri Dao, Nimit Sohoni, Albert Gu et al.
Keep Doing What Worked: Behavior Modelling Priors for Offline Reinforcement Learning
Noah Siegel, Jost Tobias Springenberg, Felix Berkenkamp et al.
Kernelized Wasserstein Natural Gradient
M Arbel, A Gretton, W Li et al.
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 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