Papers
A Provably Accurate Randomized Sampling Algorithm for Logistic Regression
Agniva Chowdhury, Pradeep Ramuhalli
AQ-DETR: Low-Bit Quantized Detection Transformer with Auxiliary Queries
Runqi Wang, Huixin Sun, Linlin Yang et al.
Arbitrariness and Social Prediction: The Confounding Role of Variance in Fair Classification
A. Feder Cooper, Katherine Lee, Madiha Zahrah Choksi et al.
Arbitrary-Scale Point Cloud Upsampling by Voxel-Based Network with Latent Geometric-Consistent Learning
Hang Du, Xuejun Yan, Jingjing Wang et al.
Arbitrary-Scale Video Super-resolution Guided by Dynamic Context
Cong Huang, Jiahao Li, Lei Chu et al.
A Reinforcement-Learning-Based Multiple-Column Selection Strategy for Column Generation
Haofeng Yuan, Lichang Fang, Shiji Song
Are You Concerned about Limited Function Evaluations: Data-Augmented Pareto Set Learning for Expensive Multi-Objective Optimization
Yongfan Lu, Bingdong Li, Aimin Zhou
Arithmetic Feature Interaction Is Necessary for Deep Tabular Learning
Yi Cheng, Renjun Hu, Haochao Ying et al.
A Robust Mutual-Reinforcing Framework for 3D Multi-Modal Medical Image Fusion Based on Visual-Semantic Consistency
Hao Zhang, Xuhui Zuo, Huabing Zhou et al.
ArtBank: Artistic Style Transfer with Pre-trained Diffusion Model and Implicit Style Prompt Bank
Zhanjie Zhang, Quanwei Zhang, Wei Xing et al.
Artificial Intelligence in the CS2023 Undergraduate Computer Science Curriculum: Rationale and Challenges
Eric Eaton, Susan L. Epstein
A SAT + Computer Algebra System Verification of the Ramsey Problem R(3, 8) (Student Abstract)
Conor Duggan, Zhengyu Li, Curtis Bright et al.
A SAT Solver and Computer Algebra Attack on the Minimum Kochen-Specker Problem (Student Abstract)
Zhengyu Li, Curtis Bright, Vijay Ganesh
A Score-Based Deterministic Diffusion Algorithm with Smooth Scores for General Distributions
Karthik Elamvazhuthi, Xuechen Zhang, Matthew Jacobs et al.
A Separation and Alignment Framework for Black-Box Domain Adaptation
Mingxuan Xia, Junbo Zhao, Gengyu Lyu et al.
A Sequentially Fair Mechanism for Multiple Sensitive Attributes
Francois Hu, Philipp Ratz, Arthur Charpentier
A Simple and Practical Method for Reducing the Disparate Impact of Differential Privacy
Lucas Rosenblatt, Julia Stoyanovich, Christopher Musco
A Simple and Yet Fairly Effective Defense for Graph Neural Networks
Sofiane Ennadir, Yassine Abbahaddou, Johannes F. Lutzeyer et al.
Aspect-Based Sentiment Analysis with Explicit Sentiment Augmentations
Jihong Ouyang, Zhiyao Yang, Silong Liang et al.
Assume-Guarantee Reinforcement Learning
Milad Kazemi, Mateo Perez, Fabio Somenzi et al.
A Submodular Optimization Approach to Accountable Loan Approval
Kyungsik Lee, Hana Yoo, Sumin Shin et al.
A Surprisingly Simple Continuous-Action POMDP Solver: Lazy Cross-Entropy Search Over Policy Trees
Marcus Hoerger, Hanna Kurniawati, Dirk Kroese et al.
A Survey of Learning Criteria Going beyond the Usual Risk (Abstract Reprint)
Matthew J. Holland, Kazuki Tanabe
ASWT-SGNN: Adaptive Spectral Wavelet Transform-Based Self-Supervised Graph Neural Network
Ruyue Liu, Rong Yin, Yong Liu et al.
Asymmetric Mutual Alignment for Unsupervised Zero-Shot Sketch-Based Image Retrieval
Zhihui Yin, Jiexi Yan, Chenghao Xu et al.