Papers
Building a Personalized Messaging System for Health Intervention in Underprivileged Regions Using Reinforcement Learning
Sarah Kinsey, Jack Wolf, Nalini Saligram et al.
Building Concise Logical Patterns by Constraining Tsetlin Machine Clause Size
K. Darshana Abeyrathna, Ahmed A. O. Abouzeid, Bimal Bhattarai et al.
CADParser: A Learning Approach of Sequence Modeling for B-Rep CAD
Shengdi Zhou, Tianyi Tang, Bin Zhou
Calibrating a Deep Neural Network with Its Predecessors
Linwei Tao, Minjing Dong, Daochang Liu et al.
Can I Really Do That? Verification of Meta-Operators via Stackelberg Planning
Florian Pham, Alvaro Torralba
Can You Improve My Code? Optimizing Programs with Local Search
Fatemeh Abdollahi, Saqib Ameen, Matthew E. Taylor et al.
Cardinality-Minimal Explanations for Monotonic Neural Networks
Ouns El Harzli, Bernardo Cuenca Grau, Ian Horrocks
Case-Based Reasoning with Language Models for Classification of Logical Fallacies
Zhivar Sourati, Filip Ilievski, Hông-Ân Sandlin et al.
Causal-Based Supervision of Attention in Graph Neural Network: A Better and Simpler Choice towards Powerful Attention
Hongjun Wang, Jiyuan Chen, Lun Du et al.
Causal Deep Reinforcement Learning Using Observational Data
Wenxuan Zhu, Chao Yu, Qiang Zhang
Certified CNF Translations for Pseudo-Boolean Solving (Extended Abstract).
Stephan Gocht, Ruben Martins, Jakob Nordström et al.
CGS: Coupled Growth and Survival Model with Cohort Fairness
Erhu He, Yue Wan, Benjamin H. Letcher et al.
Character As Pixels: A Controllable Prompt Adversarial Attacking Framework for Black-Box Text Guided Image Generation Models
Ziyi Kou, Shichao Pei, Yijun Tian et al.
Choose your Data Wisely: A Framework for Semantic Counterfactuals
Edmund Dervakos, Konstantinos Thomas, Giorgos Filandrianos et al.
Choosing Well Your Opponents: How to Guide the Synthesis of Programmatic Strategies
Rubens O. Moraes, David S. Aleixo, Lucas N. Ferreira et al.
CiT-Net: Convolutional Neural Networks Hand in Hand with Vision Transformers for Medical Image Segmentation
Tao Lei, Rui Sun, Xuan Wang et al.
CLE-ViT: Contrastive Learning Encoded Transformer for Ultra-Fine-Grained Visual Categorization
Xiaohan Yu, Jun Wang, Yongsheng Gao
Clustered-patch Element Connection for Few-shot Learning
Jinxiang Lai, Siqian Yang, Junhong Zhou et al.
Co-Certificate Learning with SAT Modulo Symmetries
Markus Kirchweger, Tomáš Peitl, Stefan Szeider
Cognitively Inspired Learning of Incremental Drifting Concepts
Mohammad Rostami, Aram Galstyan
Collaborative Neural Rendering Using Anime Character Sheets
Zuzeng Lin, Ailin Huang, Zhewei Huang
Commonsense Knowledge Enhanced Sentiment Dependency Graph for Sarcasm Detection
Zhe Yu, Di Jin, Xiaobao Wang et al.
Communication-Efficient Stochastic Gradient Descent Ascent with Momentum Algorithms
Yihan Zhang, Meikang Qiu, Hongchang Gao