Papers
A Character-Centric Neural Model for Automated Story Generation
Danyang Liu, Juntao Li, Meng-Hsuan Yu et al.
Achieving Fairness in the Stochastic Multi-Armed Bandit Problem
Vishakha Patil, Ganesh Ghalme, Vineet Nair et al.
A Cluster-Weighted Kernel K-Means Method for Multi-View Clustering
Jing Liu, Fuyuan Cao, Xiao-Zhi Gao et al.
A Coarse-to-Fine Adaptive Network for Appearance-Based Gaze Estimation
Yihua Cheng, Shiyao Huang, Fei Wang et al.
A Comparison of Architectures and Pretraining Methods for Contextualized Multilingual Word Embeddings
Niels van der Heijden, Samira Abnar, Ekaterina Shutova
A Constraint-Based Approach to Learning and Explanation
Gabriele Ciravegna, Francesco Giannini, Stefano Melacci et al.
Acquiring Knowledge from Pre-Trained Model to Neural Machine Translation
Rongxiang Weng, Heng Yu, Shujian Huang et al.
A Critique of the Smooth Inverse Frequency Sentence Embeddings (Student Abstract)
Aidana Karipbayeva, Alena Sorokina, Zhenisbek Assylbekov
Actionable Ethics through Neural Learning
Daniele Rossini, Danilo Croce, Sara Mancini et al.
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