Papers
DeepSpeed Data Efficiency: Improving Deep Learning Model Quality and Training Efficiency via Efficient Data Sampling and Routing
Conglong Li, Zhewei Yao, Xiaoxia Wu et al.
Deep Structural Knowledge Exploitation and Synergy for Estimating Node Importance Value on Heterogeneous Information Networks
Yankai Chen, Yixiang Fang, Qiongyan Wang et al.
Deep Unfolded Network with Intrinsic Supervision for Pan-Sharpening
Hebaixu Wang, Meiqi Gong, Xiaoguang Mei et al.
Deep Variational Incomplete Multi-View Clustering: Exploring Shared Clustering Structures
Gehui Xu, Jie Wen, Chengliang Liu et al.
Defeasible Normative Reasoning: A Proof-Theoretic Integration of Logical Argumentation
Ofer Arieli, Kees van Berkel, Christian Straßer
Defying Imbalanced Forgetting in Class Incremental Learning
Shixiong Xu, Gaofeng Meng, Xing Nie et al.
Delegation-Relegation for Boolean Matrix Factorization
Florent Avellaneda, Roger Villemaire
Deletion-Robust Submodular Maximization with Knapsack Constraints
Shuang Cui, Kai Han, He Huang
Delivering Inflated Explanations
Yacine Izza, Alexey Ignatiev, Peter J. Stuckey et al.
Delving into Multimodal Prompting for Fine-Grained Visual Classification
Xin Jiang, Hao Tang, Junyao Gao et al.
DenoSent: A Denoising Objective for Self-Supervised Sentence Representation Learning
Xinghao Wang, Junliang He, Pengyu Wang et al.
Dense Projection for Anomaly Detection
Dazhi Fu, Zhao Zhang, Jicong Fan
Density Matters: Improved Core-Set for Active Domain Adaptive Segmentation
Shizhan Liu, Zhengkai Jiang, Yuxi Li et al.
Dependency Structure-Enhanced Graph Attention Networks for Event Detection
Qizhi Wan, Changxuan Wan, Keli Xiao et al.
Deploying ADVISER: Impact and Lessons from Using Artificial Intelligence for Child Vaccination Uptake in Nigeria
Opadele Kehinde, Ruth Abdul, Bose Afolabi et al.
Depression Detection via Capsule Networks with Contrastive Learning
Han Liu, Changya Li, Xiaotong Zhang et al.
DePRL: Achieving Linear Convergence Speedup in Personalized Decentralized Learning with Shared Representations
Guojun Xiong, Gang Yan, Shiqiang Wang et al.
Depth-Guided Robust and Fast Point Cloud Fusion NeRF for Sparse Input Views
Shuai Guo, Qiuwen Wang, Yijie Gao et al.
DeRDaVa: Deletion-Robust Data Valuation for Machine Learning
Xiao Tian, Rachael Hwee Ling Sim, Jue Fan et al.
DeS3: Adaptive Attention-Driven Self and Soft Shadow Removal Using ViT Similarity
Yeying Jin, Wei Ye, Wenhan Yang et al.
Descanning: From Scanned to the Original Images with a Color Correction Diffusion Model
Junghun Cha, Ali Haider, Seoyun Yang et al.
Designing Biological Sequences without Prior Knowledge Using Evolutionary Reinforcement Learning
Xi Zeng, Xiaotian Hao, Hongyao Tang et al.
Detect Any Keypoints: An Efficient Light-Weight Few-Shot Keypoint Detector
Changsheng Lu, Piotr Koniusz