Papers
DAST: Unsupervised Domain Adaptation in Semantic Segmentation Based on Discriminator Attention and Self-Training
Fei Yu, Mo Zhang, Hexin Dong et al.
DASZL: Dynamic Action Signatures for Zero-shot Learning
Tae Soo Kim, Jonathan Jones, Michael Peven et al.
Data Augmentation for Abstractive Query-Focused Multi-Document Summarization
Ramakanth Pasunuru, Asli Celikyilmaz, Michel Galley et al.
Data Augmentation for Graph Neural Networks
Tong Zhao, Yozen Liu, Leonardo Neves et al.
Data Domain Change and Feature Selection to Predict Cardiac Pathology with a 2D Clinical Dataset and Convolutional Neural Networks (Student Abstract)
Mário Serra Neto, Marco Mollinetti, Inês Dutra
Data-driven Competitive Algorithms for Online Knapsack and Set Cover
Ali Zeynali, Bo Sun, Mohammad Hajiesmaili et al.
Data-Driven Multimodal Patrol Planning for Anti-poaching
Weizhe Chen, Weinan Zhang, Duo Liu et al.
DDRel: A New Dataset for Interpersonal Relation Classification in Dyadic Dialogues
Qi Jia, Hongru Huang, Kenny Q. Zhu
DEAR: Deep Reinforcement Learning for Online Advertising Impression in Recommender Systems
Xiangyu Zhao, Changsheng Gu, Haoshenglun Zhang et al.
Debiasing Evaluations That Are Biased by Evaluations
Jingyan Wang, Ivan Stelmakh, Yuting Wei et al.
DecAug: Augmenting HOI Detection via Decomposition
Hao-Shu Fang, Yichen Xie, Dian Shao et al.
DecAug: Out-of-Distribution Generalization via Decomposed Feature Representation and Semantic Augmentation
Haoyue Bai, Rui Sun, Lanqing Hong et al.
Decentralised Learning from Independent Multi-Domain Labels for Person Re-Identification
Guile Wu, Shaogang Gong
Decentralized Multi-Agent Linear Bandits with Safety Constraints
Sanae Amani, Christos Thrampoulidis
Decentralized Policy Gradient Descent Ascent for Safe Multi-Agent Reinforcement Learning
Songtao Lu, Kaiqing Zhang, Tianyi Chen et al.
Decision-Guided Weighted Automata Extraction from Recurrent Neural Networks
Xiyue Zhang, Xiaoning Du, Xiaofei Xie et al.
Decoupled and Memory-Reinforced Networks: Towards Effective Feature Learning for One-Step Person Search
Chuchu Han, Zhedong Zheng, Changxin Gao et al.
Dec-SGTS: Decentralized Sub-Goal Tree Search for Multi-Agent Coordination
Minglong Li, Zhongxuan Cai, Wenjing Yang et al.
Deductive Learning for Weakly-Supervised 3D Human Pose Estimation via Uncalibrated Cameras
Xipeng Chen, Pengxu Wei, Liang Lin
Deep Bayesian Quadrature Policy Optimization
Ravi Tej Akella, Kamyar Azizzadenesheli, Mohammad Ghavamzadeh et al.
DeepCollaboration: Collaborative Generative and Discriminative Models for Class Incremental Learning
Bo Cui, Guyue Hu, Shan Yu
Deep Conservation: A Latent-Dynamics Model for Exact Satisfaction of Physical Conservation Laws
Kookjin Lee, Kevin T. Carlberg
Deep Contextual Clinical Prediction with Reverse Distillation
Rohan Kodialam, Rebecca Boiarsky, Justin Lim et al.
DeepCOVID: An Operational Deep Learning-driven Framework for Explainable Real-time COVID-19 Forecasting
Alexander Rodríguez, Anika Tabassum, Jiaming Cui et al.