Papers
Consistency Purification: Effective and Efficient Diffusion Purification towards Certified Robustness
Yiquan Li, Zhongzhu Chen, Kun Jin et al.
Constant Acceleration Flow
Dogyun Park, Sojin Lee, Sihyeon Kim et al.
ConStat: Performance-Based Contamination Detection in Large Language Models
Jasper Dekoninck, Mark Niklas Müller, Martin Vechev
Constrained Adaptive Attack: Effective Adversarial Attack Against Deep Neural Networks for Tabular Data
Thibault Simonetto, Salah Ghamizi, Maxime Cordy
Constrained Binary Decision Making
Daniel Průša, Vojtěch Franc
Constrained Diffusion Models via Dual Training
Shervin Khalafi, Dongsheng Ding, Alejandro Ribeiro
Constrained Diffusion with Trust Sampling
William Huang, Yifeng Jiang, Tom Van Wouwe et al.
Constrained Human-AI Cooperation: An Inclusive Embodied Social Intelligence Challenge
Weihua Du, Qiushi Lyu, Jiaming Shan et al.
Constrained Latent Action Policies for Model-Based Offline Reinforcement Learning
Marvin Alles, Philip Becker-Ehmck, Patrick van der Smagt et al.
Constrained Sampling with Primal-Dual Langevin Monte Carlo
Luiz F. O. Chamon, Mohammad Reza Karimi, Anna Korba
Constrained Synthesis with Projected Diffusion Models
Jacob K. Christopher, Stephen Baek, Ferdinando Fioretto
Constructing Semantics-Aware Adversarial Examples with a Probabilistic Perspective
Andi Zhang, Mingtian Zhang, Damon Wischik
Construction and Application of Materials Knowledge Graph in Multidisciplinary Materials Science via Large Language Model
Yanpeng Ye, Jie Ren, Shaozhou Wang et al.
ContactField: Implicit Field Representation for Multi-Person Interaction Geometry
Hansol Lee, Tackgeun You, Hansoo Park et al.
Context and Geometry Aware Voxel Transformer for Semantic Scene Completion
Zhu Yu, Runmin Zhang, Jiacheng Ying et al.
Context-Aware Testing: A New Paradigm for Model Testing with Large Language Models
Paulius Rauba, Nabeel Seedat, Max Ruiz Luyten et al.
ContextCite: Attributing Model Generation to Context
Benjamin Cohen-Wang, Harshay Shah, Kristian Georgiev et al.
ContextGS : Compact 3D Gaussian Splatting with Anchor Level Context Model
Yufei Wang, Zhihao Li, Lanqing Guo et al.
Contextual Active Model Selection
Xuefeng Liu, Fangfang Xia, Rick L. Stevens et al.
Contextual Bilevel Reinforcement Learning for Incentive Alignment
Vinzenz Thoma, Barna Pasztor, Andreas Krause et al.
Contextual Decision-Making with Knapsacks Beyond the Worst Case
Zhaohua Chen, Rui Ai, Mingwei Yang et al.
Contextual Linear Optimization with Bandit Feedback
Yichun Hu, Nathan Kallus, Xiaojie Mao et al.
Contextual Multinomial Logit Bandits with General Value Functions
Mengxiao Zhang, Haipeng Luo
Continual Audio-Visual Sound Separation
Weiguo Pian, Yiyang Nan, Shijian Deng et al.
Continual Counting with Gradual Privacy Expiration
Joel Daniel Andersson, Monika Henzinger, Rasmus Pagh et al.