Papers
Continual Learning in the Frequency Domain
Ruiqi Liu, Boyu Diao, Libo Huang et al.
Continual Learning with Global Alignment
Xueying Bai, Jinghuan Shang, Yifan Sun et al.
Continual learning with the neural tangent ensemble
Ari S. Benjamin, Christian Pehle, Kyle Daruwalla
Continuous Contrastive Learning for Long-Tailed Semi-Supervised Recognition
Zi-Hao Zhou, Siyuan Fang, Zi-Jing Zhou et al.
Continuous Heatmap Regression for Pose Estimation via Implicit Neural Representation
Shengxiang Hu, Huaijiang Sun, Dong Wei et al.
Continuously Learning, Adapting, and Improving: A Dual-Process Approach to Autonomous Driving
Jianbiao Mei, Yukai Ma, Xuemeng Yang et al.
Continuous Partitioning for Graph-Based Semi-Supervised Learning
Chester Holtz, Pengwen Chen, Zhengchao Wan et al.
Continuous Product Graph Neural Networks
Aref Einizade, Fragkiskos D. Malliaros, Jhony H. Giraldo
Continuous Spatiotemporal Events Decoupling through Spike-based Bayesian Computation
Yajing Zheng, Jiyuan Zhang, Zhaofei Yu et al.
Continuous Temporal Domain Generalization
Zekun Cai, Guangji Bai, Renhe Jiang et al.
Contracting with a Learning Agent
Guru Guruganesh, Yoav Kolumbus, Jon Schneider et al.
CONTRAST: Continual Multi-source Adaptation to Dynamic Distributions
Sk Miraj Ahmed, Fahim Faisal Niloy, Xiangyu Chang et al.
Contrasting with Symile: Simple Model-Agnostic Representation Learning for Unlimited Modalities
Adriel Saporta, Aahlad Puli, Mark Goldstein et al.
Contrastive dimension reduction: when and how?
Sam Hawke, YueEn Ma, Didong Li
Contrastive-Equivariant Self-Supervised Learning Improves Alignment with Primate Visual Area IT
Thomas Yerxa, Jenelle Feather, Eero P. Simoncelli et al.
Contrastive losses as generalized models of global epistasis
David H. Brookes, Jakub Otwinowski, Sam Sinai
Controlled maximal variability along with reliable performance in recurrent neural networks
Chiara Mastrogiuseppe, Rubén Moreno-Bote
Controlling Counterfactual Harm in Decision Support Systems Based on Prediction Sets
Eleni Straitouri, Suhas Thejaswi, Manuel Gomez Rodriguez
Controlling Multiple Errors Simultaneously with a PAC-Bayes Bound
Reuben Adams, John Shawe-Taylor, Benjamin Guedj
ControlMLLM: Training-Free Visual Prompt Learning for Multimodal Large Language Models
Mingrui Wu, Xinyue Cai, Jiayi Ji et al.
ControlSynth Neural ODEs: Modeling Dynamical Systems with Guaranteed Convergence
Wenjie Mei, Dongzhe Zheng, Shihua Li
ConvBench: A Multi-Turn Conversation Evaluation Benchmark with Hierarchical Ablation Capability for Large Vision-Language Models
Shuo Liu, Kaining Ying, Hao Zhang et al.
Convergence Analysis of Split Federated Learning on Heterogeneous Data
Pengchao Han, Chao Huang, Geng Tian et al.
Convergence of $\text{log}(1/\epsilon)$ for Gradient-Based Algorithms in Zero-Sum Games without the Condition Number: A Smoothed Analysis
Ioannis Anagnostides, Tuomas Sandholm