Papers
Black-Box Data Poisoning Attacks on Crowdsourcing
Pengpeng Chen, Yongqiang Yang, Dingqi Yang et al.
Black-box Prompt Tuning for Vision-Language Model as a Service
Lang Yu, Qin Chen, Jiaju Lin et al.
Boosting Decision-Based Black-Box Adversarial Attack with Gradient Priors
Han Liu, Xingshuo Huang, Xiaotong Zhang et al.
Boosting Few-Shot Open-Set Recognition with Multi-Relation Margin Loss
Yongjuan Che, Yuexuan An, Hui Xue
Bounding the Family-Wise Error Rate in Local Causal Discovery Using Rademacher Averages (Extended Abstract)
Dario Simionato, Fabio Vandin
BPNet: Bézier Primitive Segmentation on 3D Point Clouds
Rao Fu, Cheng Wen, Qian Li et al.
BRExIt: On Opponent Modelling in Expert Iteration
Daniel Hernandez, Hendrik Baier, Michael Kaisers
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