Papers
11,015 papers found
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.
cosFormer: Rethinking Softmax In Attention
Zhen Qin, Weixuan Sun, Hui Deng et al.
CoST: Contrastive Learning of Disentangled Seasonal-Trend Representations for Time Series Forecasting
Gerald Woo, Chenghao Liu, Doyen Sahoo et al.
Counterfactual Plans under Distributional Ambiguity
Ngoc Bui, Duy Nguyen, Viet Anh Nguyen
C-Planning: An Automatic Curriculum for Learning Goal-Reaching Tasks
Tianjun Zhang, Benjamin Eysenbach, Ruslan Salakhutdinov et al.
Creating Training Sets via Weak Indirect Supervision
Jieyu Zhang, Bohan Wang, Xiangchen Song et al.
Critical Points in Quantum Generative Models
Eric Ricardo Anschuetz
CROP: Certifying Robust Policies for Reinforcement Learning through Functional Smoothing
Fan Wu, Linyi Li, Zijian Huang et al.
CrossBeam: Learning to Search in Bottom-Up Program Synthesis
Kensen Shi, Hanjun Dai, Kevin Ellis et al.
Cross-Domain Imitation Learning via Optimal Transport
Arnaud Fickinger, Samuel Cohen, Stuart Russell et al.
CrossFormer: A Versatile Vision Transformer Hinging on Cross-scale Attention
Wenxiao Wang, Lu Yao, Long Chen et al.
Cross-Lingual Transfer with Class-Weighted Language-Invariant Representations
Ruicheng Xian, Heng Ji, Han Zhao