Papers
Deep Recurrent Belief Propagation Network for POMDPs
Yuhui Wang, Xiaoyang Tan
Deep Reinforcement Learning for a Dictionary Based Compression Schema (Student Abstract)
Keren Nivasch, Dana Shapira, Amos Azaria
DeepRobust: a Platform for Adversarial Attacks and Defenses
Yaxin Li, Wei Jin, Han Xu et al.
Deep Semantic Dictionary Learning for Multi-label Image Classification
Fengtao Zhou, Sheng Huang, Yun Xing
Deep Spiking Neural Network with Neural Oscillation and Spike-Phase Information
Yi Chen, Hong Qu, Malu Zhang et al.
Deep Style Transfer for Line Drawings
Xueting Liu, Wenliang Wu, Huisi Wu et al.
Deep Switching Auto-Regressive Factorization: Application to Time Series Forecasting
Amirreza Farnoosh, Bahar Azari, Sarah Ostadabbas
DeepSynth: Automata Synthesis for Automatic Task Segmentation in Deep Reinforcement Learning
Mohammadhosein Hasanbeig, Natasha Yogananda Jeppu, Alessandro Abate et al.
DeepTrader: A Deep Reinforcement Learning Approach for Risk-Return Balanced Portfolio Management with Market Conditions Embedding
Zhicheng Wang, Biwei Huang, Shikui Tu et al.
Deep Transfer Tensor Decomposition with Orthogonal Constraint for Recommender Systems
Zhengyu Chen, Ziqing Xu, Donglin Wang
Deep Unsupervised Image Hashing by Maximizing Bit Entropy
Yunqiang Li, Jan van Gemert
Deep Verifier Networks: Verification of Deep Discriminative Models with Deep Generative Models
Tong Che, Xiaofeng Liu, Site Li et al.
Deep Wasserstein Graph Discriminant Learning for Graph Classification
Tong Zhang, Yun Wang, Zhen Cui et al.
DeepWriteSYN: On-Line Handwriting Synthesis via Deep Short-Term Representations
Ruben Tolosana, Paula Delgado-Santos, Andres Perez-Uribe et al.
Defending against Backdoors in Federated Learning with Robust Learning Rate
Mustafa Safa Ozdayi, Murat Kantarcioglu, Yulia R. Gel
Defending against Contagious Attacks on a Network with Resource Reallocation
Rufan Bai, Haoxing Lin, Xinyu Yang et al.
Degree Planning with PLAN-BERT: Multi-Semester Recommendation Using Future Courses of Interest
Erzhuo Shao, Shiyuan Guo, Zachary A. Pardos
DeHiB: Deep Hidden Backdoor Attack on Semi-supervised Learning via Adversarial Perturbation
Zhicong Yan, Gaolei Li, Yuan TIan et al.
Delving into Variance Transmission and Normalization: Shift of Average Gradient Makes the Network Collapse
Yuxiang Liu, Jidong Ge, Chuanyi Li et al.
Democratizing Constraint Satisfaction Problems through Machine Learning
Mohit Kumar, Samuel Kolb, Clement Gautrais et al.
Demodalizing Face Recognition with Synthetic Samples
Zhonghua Zhai, Pengju Yang, Xiaofeng Zhang et al.
Demonstration of the EMPATHIC Framework for Task Learning from Implicit Human Feedback
Yuchen Cui, Qiping Zhang, Sahil Jain et al.
Denoising Distantly Supervised Named Entity Recognition via a Hypergeometric Probabilistic Model
Wenkai Zhang, Hongyu Lin, Xianpei Han et al.
Dense Events Grounding in Video
Peijun Bao, Qian Zheng, Yadong Mu