Papers
Contextual Pandora’s Box
Alexia Atsidakou, Constantine Caramanis, Evangelia Gergatsouli et al.
Contextual Pre-planning on Reward Machine Abstractions for Enhanced Transfer in Deep Reinforcement Learning
Guy Azran, Mohamad H. Danesh, Stefano V. Albrecht et al.
Continual Relation Extraction via Sequential Multi-Task Learning
Thanh-Thien Le, Manh Nguyen, Tung Thanh Nguyen et al.
Continual Vision-Language Retrieval via Dynamic Knowledge Rectification
Zhenyu Cui, Yuxin Peng, Xun Wang et al.
Continuous Piecewise-Affine Based Motion Model for Image Animation
Hexiang Wang, Fengqi Liu, Qianyu Zhou et al.
Continuous Rotation Group Equivariant Network Inspired by Neural Population Coding
Zhiqiang Chen, Yang Chen, Xiaolong Zou et al.
Continuous-Time Graph Representation with Sequential Survival Process
Abdulkadir Çelikkanat, Nikolaos Nakis, Morten Mørup
Continuous Treatment Effect Estimation Using Gradient Interpolation and Kernel Smoothing
Lokesh Nagalapatti, Akshay Iyer, Abir De et al.
ContraNovo: A Contrastive Learning Approach to Enhance De Novo Peptide Sequencing
Zhi Jin, Sheng Xu, Xiang Zhang et al.
Contrastive Balancing Representation Learning for Heterogeneous Dose-Response Curves Estimation
Minqin Zhu, Anpeng Wu, Haoxuan Li et al.
Contrastive Continual Learning with Importance Sampling and Prototype-Instance Relation Distillation
Jiyong Li, Dilshod Azizov, Yang LI et al.
Contrastive Credibility Propagation for Reliable Semi-supervised Learning
Brody Kutt, Pralay Ramteke, Xavier Mignot et al.
Contrastive Learning for Low-Light Raw Denoising (Student Abstract)
Taoyong Cui, Yuhan Dong
Contrastive Tuning: A Little Help to Make Masked Autoencoders Forget
Johannes Lehner, Benedikt Alkin, Andreas Fürst et al.
Contributing Dimension Structure of Deep Feature for Coreset Selection
Zhijing Wan, Zhixiang Wang, Yuran Wang et al.
Controllable 3D Face Generation with Conditional Style Code Diffusion
Xiaolong Shen, Jianxin Ma, Chang Zhou et al.
Controllable Mind Visual Diffusion Model
Bohan Zeng, Shanglin Li, Xuhui Liu et al.
Controller-Guided Partial Label Consistency Regularization with Unlabeled Data
Qian-Wei Wang, Bowen Zhao, Mingyan Zhu et al.
Conversational Modeling for Constraint Satisfaction
Eugene C. Freuder
Convolutional Channel-Wise Competitive Learning for the Forward-Forward Algorithm
Andreas Papachristodoulou, Christos Kyrkou, Stelios Timotheou et al.
Convolutional Spectral Kernel Learning with Generalization Guarantees (Abstract Reprint)
Jian Li, Yong Liu, Weiping Wang
ConVQG: Contrastive Visual Question Generation with Multimodal Guidance
Li Mi, Syrielle Montariol, Javiera Castillo Navarro et al.
Cooperative Knowledge Distillation: A Learner Agnostic Approach
Michael Livanos, Ian Davidson, Stephen Wong
Cooper: Coordinating Specialized Agents towards a Complex Dialogue Goal
Yi Cheng, Wenge Liu, Jian Wang et al.