Papers
Constrained GPI for Zero-Shot Transfer in Reinforcement Learning
Jaekyeom Kim, Seohong Park, Gunhee Kim
Constrained Langevin Algorithms with L-mixing External Random Variables
Yuping Zheng, Andrew Lamperski
Constrained Predictive Coding as a Biologically Plausible Model of the Cortical Hierarchy
Siavash Golkar, Tiberiu Tesileanu, Yanis Bahroun et al.
Constrained Stochastic Nonconvex Optimization with State-dependent Markov Data
Abhishek Roy, Krishnakumar Balasubramanian, Saeed Ghadimi
Constrained Update Projection Approach to Safe Policy Optimization
Long Yang, Jiaming Ji, Juntao Dai et al.
Constraining Gaussian Processes to Systems of Linear Ordinary Differential Equations
Andreas Besginow, Markus Lange-Hegermann
Contact-aware Human Motion Forecasting
Wei Mao, miaomiao Liu, Richard I Hartley et al.
CoNT: Contrastive Neural Text Generation
Chenxin An, Jiangtao Feng, Kai Lv et al.
Context-Based Dynamic Pricing with Partially Linear Demand Model
Jinzhi Bu, David Simchi-Levi, Chonghuan Wang
Contextual Bandits with Knapsacks for a Conversion Model
Zhen LI, Gilles Stoltz
Contextual Dynamic Pricing with Unknown Noise: Explore-then-UCB Strategy and Improved Regrets
Yiyun Luo, Will Wei Sun, Yufeng Liu
Contextual Squeeze-and-Excitation for Efficient Few-Shot Image Classification
Massimiliano Patacchiola, John Bronskill, Aliaksandra Shysheya et al.
Continual learning: a feature extraction formalization, an efficient algorithm, and fundamental obstructions
Binghui Peng, Andrej Risteski
Continual Learning In Environments With Polynomial Mixing Times
Matthew Riemer, Sharath Chandra Raparthy, Ignacio Cases et al.
Continual Learning with Evolving Class Ontologies
Zhiqiu Lin, Deepak Pathak, Yu-Xiong Wang et al.
Continuous Deep Q-Learning in Optimal Control Problems: Normalized Advantage Functions Analysis
Anton Plaksin, Stepan Martyanov
Continuously Tempered PDMP samplers
Matthew Sutton, Robert Salomone, Augustin Chevallier et al.
Continuous MDP Homomorphisms and Homomorphic Policy Gradient
Sahand Rezaei-Shoshtari, Rosie Zhao, Prakash Panangaden et al.
Contrastive Adapters for Foundation Model Group Robustness
Michael Zhang, Christopher Ré
Contrastive and Non-Contrastive Self-Supervised Learning Recover Global and Local Spectral Embedding Methods
Randall Balestriero, Yann LeCun
Contrastive Graph Structure Learning via Information Bottleneck for Recommendation
Chunyu Wei, Jian Liang, Di Liu et al.
Contrastive Language-Image Pre-Training with Knowledge Graphs
Xuran Pan, Tianzhu Ye, Dongchen Han et al.
Contrastive Learning as Goal-Conditioned Reinforcement Learning
Benjamin Eysenbach, Tianjun Zhang, Sergey Levine et al.
Contrastive Neural Ratio Estimation
Benjamin K Miller, Christoph Weniger, Patrick Forré
Controllable 3D Face Synthesis with Conditional Generative Occupancy Fields
Keqiang Sun, Shangzhe Wu, Zhaoyang Huang et al.