Papers
Action Graphs for Goal Recognition Problems with Inaccurate Initial States (Student Abstract)
Helen Harman, Pieter Simoens
Active Goal Recognition
Maayan Shvo, Sheila A. McIlraith
Active Learning in the Geometric Block Model
Eli Chien, Antonia Tulino, Jaime Llorca
Active Learning with Query Generation for Cost-Effective Text Classification
Yi-Fan Yan, Sheng-Jun Huang, Shaoyi Chen et al.
Active Ordinal Querying for Tuplewise Similarity Learning
Gregory Canal, Stefano Fenu, Christopher Rozell
ActiveThief: Model Extraction Using Active Learning and Unannotated Public Data
Soham Pal, Yash Gupta, Aditya Shukla et al.
Actor Critic Deep Reinforcement Learning for Neural Malware Control
Yu Wang, Jack Stokes, Mady Marinescu
Adabot: Fault-Tolerant Java Decompiler (Student Abstract)
Zhiming Li, Qing Wu, Kun Qian
AdaCare: Explainable Clinical Health Status Representation Learning via Scale-Adaptive Feature Extraction and Recalibration
Liantao Ma, Junyi Gao, Yasha Wang et al.
AdaFilter: Adaptive Filter Fine-Tuning for Deep Transfer Learning
Yunhui Guo, Yandong Li, Liqiang Wang et al.
Adapting Language Models for Non-Parallel Author-Stylized Rewriting
Bakhtiyar Syed, Gaurav Verma, Balaji Vasan Srinivasan et al.
Adapting Stable Matchings to Evolving Preferences
Robert Bredereck, Jiehua Chen, Dušan Knop et al.
Adapting to Smoothness: A More Universal Algorithm for Online Convex Optimization
Guanghui Wang, Shiyin Lu, Yao Hu et al.
Adaptive Activation Network and Functional Regularization for Efficient and Flexible Deep Multi-Task Learning
Yingru Liu, Xuewen Yang, Dongliang Xie et al.
Adaptive Convolutional ReLUs
Hongyang Gao, Lei Cai, Shuiwang Ji
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