Papers
Defending with Shared Resources on a Network
Minming Li, Long Tran-Thanh, Xiaowei Wu
DefogGAN: Predicting Hidden Information in the StarCraft Fog of War with Generative Adversarial Nets
Yonghyun Jeong, Hyunjin Choi, Byoungjip Kim et al.
DeGAN: Data-Enriching GAN for Retrieving Representative Samples from a Trained Classifier
Sravanti Addepalli, Gaurav Kumar Nayak, Anirban Chakraborty et al.
Delay-Adaptive Distributed Stochastic Optimization
Zhaolin Ren, Zhengyuan Zhou, Linhai Qiu et al.
Dempster-Shafer Theoretic Learning of Indirect Speech Act Comprehension Norms
Ruchen Wen, Mohammed Aun Siddiqui, Tom Williams
Designing Committees for Mitigating Biases
Michal Feldman, Yishay Mansour, Noam Nisan et al.
Detecting and Tracking Communal Bird Roosts in Weather Radar Data
Zezhou Cheng, Saadia Gabriel, Pankaj Bhambhani et al.
Detecting Asks in Social Engineering Attacks: Impact of Linguistic and Structural Knowledge
Bonnie Dorr, Archna Bhatia, Adam Dalton et al.
Detecting Human-Object Interactions via Functional Generalization
Ankan Bansal, Sai Saketh Rambhatla, Abhinav Shrivastava et al.
Detecting Semantic Anomalies
Faruk Ahmed, Aaron Courville
Detecting Suspicious Timber Trades
Debanjan Datta, M. Raihanul Islam, Nathan Self et al.
Determining the Possibility of Transfer Learning in Deep Reinforcement Learning Using Grad-CAM (Student Abstract)
Ho-Taek Joo, Kyung-Joong Kim
Deterministic Value-Policy Gradients
Qingpeng Cai, Ling Pan, Pingzhong Tang
DGCN: Dynamic Graph Convolutional Network for Efficient Multi-Person Pose Estimation
Zhongwei Qiu, Kai Qiu, Jianlong Fu et al.
DGE: Deep Generative Network Embedding Based on Commonality and Individuality
Sheng Zhou, Xin Wang, Jiajun Bu et al.
Diachronic Embedding for Temporal Knowledge Graph Completion
Rishab Goel, Seyed Mehran Kazemi, Marcus Brubaker et al.
Dialog State Tracking with Reinforced Data Augmentation
Yichun Yin, Lifeng Shang, Xin Jiang et al.
DIANet: Dense-and-Implicit Attention Network
Zhongzhan Huang, Senwei Liang, Mingfu Liang et al.
Did That Lost Ballot Box Cost Me a Seat? Computing Manipulations of STV Elections
Michelle Blom, Andrew Conway, Peter J. Stuckey et al.
Differentiable Algorithm for Marginalising Changepoints
Hyoungjin Lim, Gwonsoo Che, Wonyeol Lee et al.
Differentiable Grammars for Videos
AJ Piergiovanni, Anelia Angelova, Michael S. Ryoo
Differentiable Meta-Learning Model for Few-Shot Semantic Segmentation
Pinzhuo Tian, Zhangkai Wu, Lei Qi et al.
Differentiable Reasoning on Large Knowledge Bases and Natural Language
Pasquale Minervini, Matko Bošnjak, Tim Rocktäschel et al.
Differential Equation Units: Learning Functional Forms of Activation Functions from Data
MohamadAli Torkamani, Shiv Shankar, Amirmohammad Rooshenas et al.