Papers
11,951 papers found
Considering Constraint Monotonicity and Foundedness in Answer Set Programming
Yi-Dong Shen, Thomas Eiter
Consistent Counterfactuals for Deep Models
Emily Black, Zifan Wang, Matt Fredrikson
Constrained Physical-Statistics Models for Dynamical System Identification and Prediction
Jérémie DONA, Marie Déchelle, patrick gallinari et al.
Constrained Policy Optimization via Bayesian World Models
Yarden As, Ilnura Usmanova, Sebastian Curi et al.
Constraining Linear-chain CRFs to Regular Languages
Sean Papay, Roman Klinger, Sebastian Pado
Constructing a Good Behavior Basis for Transfer using Generalized Policy Updates
Safa Alver, Doina Precup
Constructing Orthogonal Convolutions in an Explicit Manner
Tan Yu, Jun Li, YUNFENG CAI et al.
Contact Points Discovery for Soft-Body Manipulations with Differentiable Physics
Sizhe Li, Zhiao Huang, Tao Du et al.
Context-Aware Sparse Deep Coordination Graphs
Tonghan Wang, Liang Zeng, Weijun Dong et al.
Contextualized Scene Imagination for Generative Commonsense Reasoning
PeiFeng Wang, Jonathan Zamora, Junfeng Liu et al.
Continual Learning with Filter Atom Swapping
Zichen Miao, Ze Wang, Wei Chen et al.
Continual Learning with Recursive Gradient Optimization
Hao Liu, Huaping Liu
Continual Normalization: Rethinking Batch Normalization for Online Continual Learning
Quang Pham, Chenghao Liu, Steven HOI
Continuously Discovering Novel Strategies via Reward-Switching Policy Optimization
Zihan Zhou, Wei Fu, Bingliang Zhang et al.
Continuous-Time Meta-Learning with Forward Mode Differentiation
Tristan Deleu, David Kanaa, Leo Feng et al.
Contrastive Clustering to Mine Pseudo Parallel Data for Unsupervised Translation
Xuan-Phi Nguyen, Hongyu Gong, Yun Tang et al.
Contrastive Fine-grained Class Clustering via Generative Adversarial Networks
Yunji Kim, Jung-Woo Ha
Controlling Directions Orthogonal to a Classifier
Yilun Xu, Hao He, Tianxiao Shen et al.
Controlling the Complexity and Lipschitz Constant improves Polynomial Nets
Zhenyu Zhu, Fabian Latorre, Grigorios Chrysos et al.
Convergent and Efficient Deep Q Learning Algorithm
Zhikang T. Wang, Masahito Ueda
Convergent Graph Solvers
Junyoung Park, Jinhyun Choo, Jinkyoo Park
Coordination Among Neural Modules Through a Shared Global Workspace
Anirudh Goyal, Aniket Rajiv Didolkar, Alex Lamb et al.
CoordX: Accelerating Implicit Neural Representation with a Split MLP Architecture
Ruofan Liang, Hongyi Sun, Nandita Vijaykumar
COPA: Certifying Robust Policies for Offline Reinforcement Learning against Poisoning Attacks
Fan Wu, Linyi Li, Huan Zhang et al.
COptiDICE: Offline Constrained Reinforcement Learning via Stationary Distribution Correction Estimation
Jongmin Lee, Cosmin Paduraru, Daniel J Mankowitz et al.