Papers
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.
Deep Discourse Analysis for Generating Personalized Feedback in Intelligent Tutor Systems
Matt Grenander, Robert Belfer, Ekaterina Kochmar et al.
DeepDT: Learning Geometry From Delaunay Triangulation for Surface Reconstruction
Yiming Luo, Zhenxing Mi, Wenbing Tao
Deepening the Sense of Touch in Planetary Exploration with Geometric and Topological Deep Learning
Yuzhou Chen, Yuliya Marchetti, Yulia R. Gel
Deep Epidemiological Modeling by Black-box Knowledge Distillation: An Accurate Deep Learning Model for COVID-19
Dongdong Wang, Shunpu Zhang, Liqiang Wang
Deep Event Stereo Leveraged by Event-to-Image Translation
Soikat Hasan Ahmed, Hae Woong Jang, S M Nadim Uddin et al.
Deep Feature Space Trojan Attack of Neural Networks by Controlled Detoxification
Siyuan Cheng, Yingqi Liu, Shiqing Ma et al.
Deep Frequency Principle Towards Understanding Why Deeper Learning Is Faster
Zhiqin John Xu, Hanxu Zhou
Deep Fusion Clustering Network
Wenxuan Tu, Sihang Zhou, Xinwang Liu et al.
Deep Graph-neighbor Coherence Preserving Network for Unsupervised Cross-modal Hashing
Jun Yu, Hao Zhou, Yibing Zhan et al.
Deep Graph Spectral Evolution Networks for Graph Topological Evolution
Negar Etemadyrad, Qingzhe Li, Liang Zhao
Deep Innovation Protection: Confronting the Credit Assignment Problem in Training Heterogeneous Neural Architectures
Sebastian Risi, Kenneth O. Stanley
Deep Just-In-Time Inconsistency Detection Between Comments and Source Code
Sheena Panthaplackel, Junyi Jessy Li, Milos Gligoric et al.
Deeplite NeutrinoTM: A BlackBox Framework for Constrained Deep Learning Model Optimization
Anush Sankaran, Olivier Mastropietro, Ehsan Saboori et al.
Deep Low-Contrast Image Enhancement using Structure Tensor Representation
Hyungjoo Jung, Hyunsung Jang, Namkoo Ha et al.
Deep Metric Learning with Graph Consistency
Binghui Chen, Pengyu Li, Zhaoyi Yan et al.
Deep Metric Learning with Self-Supervised Ranking
Zheren Fu, Yan Li, Zhendong Mao et al.