Papers
Accurate Fairness: Improving Individual Fairness without Trading Accuracy
Xuran Li, Peng Wu, Jing Su
ACE: Cooperative Multi-Agent Q-learning with Bidirectional Action-Dependency
Chuming Li, Jie Liu, Yinmin Zhang et al.
Achieving Zero Constraint Violation for Constrained Reinforcement Learning via Conservative Natural Policy Gradient Primal-Dual Algorithm
Qinbo Bai, Amrit Singh Bedi, Vaneet Aggarwal
ACL-Net: Semi-supervised Polyp Segmentation via Affinity Contrastive Learning
Huisi Wu, Wende Xie, Jingyin Lin et al.
A Composite Multi-Attention Framework for Intraoperative Hypotension Early Warning
Feng Lu, Wei Li, Zhiqiang Zhou et al.
A Continual Pre-training Approach to Tele-Triaging Pregnant Women in Kenya
Wenbo Zhang, Hangzhi Guo, Prerna Ranganathan et al.
A Coreset Learning Reality Check
Fred Lu, Edward Raff, James Holt
A Crowd-AI Collaborative Duo Relational Graph Learning Framework towards Social Impact Aware Photo Classification
Yang Zhang, Ziyi Kou, Lanyu Shang et al.
Actional Atomic-Concept Learning for Demystifying Vision-Language Navigation
Bingqian Lin, Yi Zhu, Xiaodan Liang et al.
Action-Conditioned Generation of Bimanual Object Manipulation Sequences
Haziq Razali, Yiannis Demiris
Actionness Inconsistency-Guided Contrastive Learning for Weakly-Supervised Temporal Action Localization
Zhilin Li, Zilei Wang, Qinying Liu
Active Token Mixer
Guoqiang Wei, Zhizheng Zhang, Cuiling Lan et al.
AdaBoost.C2: Boosting Classifiers Chains for Multi-Label Classification
Jiaxuan Li, Xiaoyan Zhu, Jiayin Wang
AdaCM: Adaptive ColorMLP for Real-Time Universal Photo-Realistic Style Transfer
Tianwei Lin, Honglin Lin, Fu Li et al.
AdapSafe: Adaptive and Safe-Certified Deep Reinforcement Learning-Based Frequency Control for Carbon-Neutral Power Systems
Xu Wan, Mingyang Sun, Boli Chen et al.
Adapting Object Size Variance and Class Imbalance for Semi-supervised Object Detection
Yuxiang Nie, Chaowei Fang, Lechao Cheng et al.
Adaptive Constraint Partition Based Optimization Framework for Large-Scale Integer Linear Programming (Student Abstract)
Huigen Ye, Hongyan Wang, Hua Xu et al.
Adaptive Discrete Communication Bottlenecks with Dynamic Vector Quantization for Heterogeneous Representational Coarseness
Dianbo Liu, Alex Lamb, Xu Ji et al.
Adaptive Dynamic Filtering Network for Image Denoising
Hao Shen, Zhong-Qiu Zhao, Wandi Zhang
Adaptive Hierarchy-Branch Fusion for Online Knowledge Distillation
Linrui Gong, Shaohui Lin, Baochang Zhang et al.
Adaptive Low-Precision Training for Embeddings in Click-Through Rate Prediction
Shiwei Li, Huifeng Guo, Lu Hou et al.
Adaptive Mixing of Auxiliary Losses in Supervised Learning
Durga Sivasubramanian, Ayush Maheshwari, Prathosh AP et al.
Adaptive Perturbation-Based Gradient Estimation for Discrete Latent Variable Models
Pasquale Minervini, Luca Franceschi, Mathias Niepert
Adaptive Policy Learning for Offline-to-Online Reinforcement Learning
Han Zheng, Xufang Luo, Pengfei Wei et al.
Adaptive Temporal Planning for Multi-Robot Systems in Operations and Maintenance of Offshore Wind Farms
Ferdian Jovan, Sara Bernardini