Papers
Adaptive Cross-Modal Embeddings for Image-Text Alignment
Jonatas Wehrmann, Camila Kolling, Rodrigo C Barros
Adaptive Double-Exploration Tradeoff for Outlier Detection
Xiaojin Zhang, Honglei Zhuang, Shengyu Zhang et al.
Adaptive Factorization Network: Learning Adaptive-Order Feature Interactions
Weiyu Cheng, Yanyan Shen, Linpeng Huang
Adaptive Greedy versus Non-Adaptive Greedy for Influence Maximization
Wei Chen, Binghui Peng, Grant Schoenebeck et al.
Adaptive Quantitative Trading: An Imitative Deep Reinforcement Learning Approach
Yang Liu, Qi Liu, Hongke Zhao et al.
Adaptive Trust Region Policy Optimization: Global Convergence and Faster Rates for Regularized MDPs
Lior Shani, Yonathan Efroni, Shie Mannor
Adaptive Two-Dimensional Embedded Image Clustering
Zhihui Li, Lina Yao, Sen Wang et al.
Adaptive Unimodal Cost Volume Filtering for Deep Stereo Matching
Youmin Zhang, Yimin Chen, Xiao Bai et al.
A Dataset for Low-Resource Stylized Sequence-to-Sequence Generation
Yu Wu, Yunli Wang, Shujie Liu
ADDMC: Weighted Model Counting with Algebraic Decision Diagrams
Jeffrey Dudek, Vu Phan, Moshe Vardi
A Deep Neural Network Model of Particle Thermal Radiation in Packed Bed
Hao Wu, Shuang Hao
A Distributed Multi-Sensor Machine Learning Approach to Earthquake Early Warning
Kevin Fauvel, Daniel Balouek-Thomert, Diego Melgar et al.
Adversarial Attack on Deep Product Quantization Network for Image Retrieval
Yan Feng, Bin Chen, Tao Dai et al.
Adversarial Cross-Domain Action Recognition with Co-Attention
Boxiao Pan, Zhangjie Cao, Ehsan Adeli et al.
Adversarial Deep Network Embedding for Cross-Network Node Classification
Xiao Shen, Quanyu Dai, Fu-lai Chung et al.
Adversarial Disentanglement with Grouped Observations
Jozsef Nemeth
Adversarial Domain Adaptation with Domain Mixup
Minghao Xu, Jian Zhang, Bingbing Ni et al.
Adversarial Dynamic Shapelet Networks
Qianli Ma, Wanqing Zhuang, Sen Li et al.
Adversarial Fence Patrolling: Non-Uniform Policies for Asymmetric Environments
Yaniv Oshrat, Noa Agmon, Sarit Kraus
Adversarial-Learned Loss for Domain Adaptation
Minghao Chen, Shuai Zhao, Haifeng Liu et al.
Adversarial Learning of Privacy-Preserving and Task-Oriented Representations
Taihong Xiao, Yi-Hsuan Tsai, Kihyuk Sohn et al.
Adversarial Localized Energy Network for Structured Prediction
Pingbo Pan, Ping Liu, Yan Yan et al.
Adversarially Robust Distillation
Micah Goldblum, Liam Fowl, Soheil Feizi et al.
Adversarial Training Based Multi-Source Unsupervised Domain Adaptation for Sentiment Analysis
Yong Dai, Jian Liu, Xiancong Ren et al.
Adversarial Transformations for Semi-Supervised Learning
Teppei Suzuki, Ikuro Sato