Papers
11,015 papers found
Contrastive Preference Learning: Learning from Human Feedback without Reinforcement Learning
Joey Hejna, Rafael Rafailov, Harshit Sikchi et al.
Controlled Text Generation via Language Model Arithmetic
Jasper Dekoninck, Marc Fischer, Luca Beurer-Kellner et al.
Controlling Vision-Language Models for Multi-Task Image Restoration
Ziwei Luo, Fredrik K. Gustafsson, Zheng Zhao et al.
ControlVideo: Training-free Controllable Text-to-video Generation
Yabo Zhang, Yuxiang Wei, Dongsheng Jiang et al.
Convergence of Bayesian Bilevel Optimization
Shi Fu, Fengxiang He, Xinmei Tian et al.
Conversational Drug Editing Using Retrieval and Domain Feedback
Shengchao Liu, Jiongxiao Wang, Yijin Yang et al.
Convolutional Deep Kernel Machines
Edward Milsom, Ben Anson, Laurence Aitchison
Convolution Meets LoRA: Parameter Efficient Finetuning for Segment Anything Model
Zihan Zhong, Zhiqiang Tang, Tong He et al.
Coordinate-Aware Modulation for Neural Fields
Joo Chan Lee, Daniel Rho, Seungtae Nam et al.
Copilot4D: Learning Unsupervised World Models for Autonomous Driving via Discrete Diffusion
Lunjun Zhang, Yuwen Xiong, Ze Yang et al.
COPlanner: Plan to Roll Out Conservatively but to Explore Optimistically for Model-Based RL
Xiyao Wang, Ruijie Zheng, Yanchao Sun et al.
Copula Conformal prediction for multi-step time series prediction
Sophia Huiwen Sun, Rose Yu
CoRe-GD: A Hierarchical Framework for Scalable Graph Visualization with GNNs
Florian Grötschla, Joël Mathys, Robert Veres et al.
CORN: Contact-based Object Representation for Nonprehensile Manipulation of General Unseen Objects
Yoonyoung Cho, Junhyek Han, Yoontae Cho et al.
Correlated Noise Provably Beats Independent Noise for Differentially Private Learning
Christopher A. Choquette-Choo, Krishnamurthy Dj Dvijotham, Krishna Pillutla et al.
COSA: Concatenated Sample Pretrained Vision-Language Foundation Model
Sihan Chen, Xingjian He, Handong Li et al.
CoT3DRef: Chain-of-Thoughts Data-Efficient 3D Visual Grounding
Eslam Mohamed BAKR, Mohamed Ayman Mohamed, Mahmoud Ahmed et al.
Counterfactual Density Estimation using Kernel Stein Discrepancies
Diego Martinez-Taboada, Edward Kennedy
Counting Graph Substructures with Graph Neural Networks
Charilaos Kanatsoulis, Alejandro Ribeiro
Course Correcting Koopman Representations
Mahan Fathi, Clement Gehring, Jonathan Pilault et al.
CoVLM: Composing Visual Entities and Relationships in Large Language Models Via Communicative Decoding
Junyan Li, Delin Chen, Yining Hong et al.
CPPO: Continual Learning for Reinforcement Learning with Human Feedback
Han Zhang, Yu Lei, Lin Gui et al.
CRAFT: Customizing LLMs by Creating and Retrieving from Specialized Toolsets
Lifan Yuan, Yangyi Chen, Xingyao Wang et al.
CrIBo: Self-Supervised Learning via Cross-Image Object-Level Bootstrapping
Tim Lebailly, Thomas Stegmüller, Behzad Bozorgtabar et al.
Critical Learning Periods Emerge Even in Deep Linear Networks
Michael Kleinman, Alessandro Achille, Stefano Soatto