Papers
A Neural Span-Based Continual Named Entity Recognition Model
Yunan Zhang, Qingcai Chen
A New Challenge in Policy Evaluation
Shangtong Zhang
An Explainable Forecasting System for Humanitarian Needs Assessment
Rahul Nair, Bo Madsen, Alexander Kjærum
An Extreme-Adaptive Time Series Prediction Model Based on Probability-Enhanced LSTM Neural Networks
Yanhong Li, Jack Xu, David C. Anastasiu
AnimateSVG: Autonomous Creation and Aesthetics Evaluation of Scalable Vector Graphics Animations for the Case of Brand Logos
Deborah Mateja, Rebecca Armbruster, Jonathan Baumert et al.
An Improved Algorithm for Online Min-Sum Set Cover
Marcin Bienkowski, Marcin Mucha
An Improved Approximation Algorithm for Wage Determination and Online Task Allocation in Crowd-Sourcing
Yuya Hikima, Yasunori Akagi, Hideaki Kim et al.
An Introduction to Rule-Based Feature and Object Perception for Middle School Students
Daniella DiPaola, Parker Malachowsky, Nancye Blair Black et al.
A Noise-Tolerant Differentiable Learning Approach for Single Occurrence Regular Expression with Interleaving
Rongzhen Ye, Tianqu Zhuang, Hai Wan et al.
Anomaly Segmentation for High-Resolution Remote Sensing Images Based on Pixel Descriptors
Jingtao Li, Xinyu Wang, Hengwei Zhao et al.
An Online Presentation Slide Assessment System Using Visual and Semantic Segmentation Features
Shengzhou Yi, Junichiro Matsugami, Hiroshi Yumoto et al.
Anonymization for Skeleton Action Recognition
Saemi Moon, Myeonghyeon Kim, Zhenyue Qin et al.
An Operator Theoretic Approach for Analyzing Sequence Neural Networks
Ilan Naiman, Omri Azencot
AnoViz: A Visual Inspection Tool of Anomalies in Multivariate Time Series
Patara Trirat, Youngeun Nam, Taeyoon Kim et al.
Anti-drifting Feature Selection via Deep Reinforcement Learning (Student Abstract)
Aoran Wang, Hongyang Yang, Feng Mao et al.
Anytime User Engagement Prediction in Information Cascades for Arbitrary Observation Periods
Akshay Aravamudan, Xi Zhang, Georgios C. Anagnostopoulos
A Pair-Approximation Method for Modelling the Dynamics of Multi-Agent Stochastic Games
Chen Chu, Zheng Yuan, Shuyue Hu et al.
A Parameterized Theory of PAC Learning
Cornelius Brand, Robert Ganian, Kirill Simonov
Approval-Based Voting with Mixed Goods
Xinhang Lu, Jannik Peters, Haris Aziz et al.
Approximating Full Conformal Prediction at Scale via Influence Functions
Javier Abad Martinez, Umang Bhatt, Adrian Weller et al.
Approximations for Indivisible Concave Allocations with Applications to Nash Welfare Maximization
Nathaniel Kell, Kevin Sun
A Probabilistic Graph Diffusion Model for Source Localization (Student Abstract)
Tangjiang Qian, Xovee Xu, Zhe Xiao et al.
A Proof That Using Crossover Can Guarantee Exponential Speed-Ups in Evolutionary Multi-Objective Optimisation
Duc-Cuong Dang, Andre Opris, Bahare Salehi et al.
A Provable Framework of Learning Graph Embeddings via Summarization
Houquan Zhou, Shenghua Liu, Danai Koutra et al.
A Question-Answering Approach to Key Value Pair Extraction from Form-Like Document Images
Kai Hu, Zhuoyuan Wu, Zhuoyao Zhong et al.