Papers
11,015 papers found
CLN2INV: Learning Loop Invariants with Continuous Logic Networks
Gabriel Ryan, Justin Wong, Jianan Yao et al.
CM3: Cooperative Multi-goal Multi-stage Multi-agent Reinforcement Learning
Jiachen Yang, Alireza Nakhaei, David Isele et al.
Co-Attentive Equivariant Neural Networks: Focusing Equivariance On Transformations Co-Occurring in Data
David W. Romero, Mark Hoogendoorn
Combining Q-Learning and Search with Amortized Value Estimates
Jessica B. Hamrick, Victor Bapst, Alvaro Sanchez-Gonzalez et al.
Comparing Rewinding and Fine-tuning in Neural Network Pruning
Alex Renda, Jonathan Frankle, Michael Carbin
Composing Task-Agnostic Policies with Deep Reinforcement Learning
Ahmed H. Qureshi, Jacob J. Johnson, Yuzhe Qin et al.
Compositional Language Continual Learning
Yuanpeng Li, Liang Zhao, Kenneth Church et al.
Compositional languages emerge in a neural iterated learning model
Yi Ren, Shangmin Guo, Matthieu Labeau et al.
Composition-based Multi-Relational Graph Convolutional Networks
Shikhar Vashishth, Soumya Sanyal, Vikram Nitin et al.
Compression based bound for non-compressed network: unified generalization error analysis of large compressible deep neural network
Taiji Suzuki, Hiroshi Abe, Tomoaki Nishimura
Compressive Transformers for Long-Range Sequence Modelling
Jack W. Rae, Anna Potapenko, Siddhant M. Jayakumar et al.
Computation Reallocation for Object Detection
Feng Liang, Chen Lin, Ronghao Guo et al.
Conditional Learning of Fair Representations
Han Zhao, Amanda Coston, Tameem Adel et al.
Conservative Uncertainty Estimation By Fitting Prior Networks
Kamil Ciosek, Vincent Fortuin, Ryota Tomioka et al.
Consistency Regularization for Generative Adversarial Networks
Han Zhang, Zizhao Zhang, Augustus Odena et al.
Continual Learning with Adaptive Weights (CLAW)
Tameem Adel, Han Zhao, Richard E. Turner
Continual Learning with Bayesian Neural Networks for Non-Stationary Data
Richard Kurle, Botond Cseke, Alexej Klushyn et al.
Continual learning with hypernetworks
Johannes von Oswald, Christian Henning, Benjamin F. Grewe et al.
Contrastive Learning of Structured World Models
Thomas Kipf, Elise van der Pol, Max Welling
Contrastive Representation Distillation
Yonglong Tian, Dilip Krishnan, Phillip Isola
Controlling generative models with continuous factors of variations
Antoine Plumerault, Hervé Le Borgne, Céline Hudelot
Convergence of Gradient Methods on Bilinear Zero-Sum Games
Guojun Zhang, Yaoliang Yu
Convolutional Conditional Neural Processes
Jonathan Gordon, Wessel P. Bruinsma, Andrew Y. K. Foong et al.
CoPhy: Counterfactual Learning of Physical Dynamics
Fabien Baradel, Natalia Neverova, Julien Mille et al.