Papers
Argument Mining Driven Analysis of Peer-Reviews
Michael Fromm, Evgeniy Faerman, Max Berrendorf et al.
Artificial Dummies for Urban Dataset Augmentation
Antonín Vobecký, David Hurych, Michal Uřičář et al.
A Sample-Efficient Algorithm for Episodic Finite-Horizon MDP with Constraints
Krishna C. Kalagarla, Rahul Jain, Pierluigi Nuzzo
A SAT-based Resolution of Lam's Problem
Curtis Bright, Kevin K. H. Cheung, Brett Stevens et al.
A Scalable Reasoning and Learning Approach for Neural-Symbolic Stream Fusion
Danh Le-Phuoc, Thomas Eiter, Anh Le-Tuan
A Scalable Two Stage Approach to Computing Optimal Decision Sets
Alexey Ignatiev, Edward Lam, Peter J. Stuckey et al.
A Semantic Parsing and Reasoning-Based Approach to Knowledge Base Question Answering
Ibrahim Abdelaziz, Srinivas Ravishankar, Pavan Kapanipathi et al.
A Serverless Approach to Federated Learning Infrastructure Oriented for IoT/Edge Data Sources (Student Abstract)
Anshul Ahuja, Geetesh Gupta, Suman Kundu
A Sharp Leap from Quantified Boolean Formula to Stochastic Boolean Satisfiability Solving
Pei-Wei Chen, Yu-Ching Huang, Jie-Hong R. Jiang
ASHF-Net: Adaptive Sampling and Hierarchical Folding Network for Robust Point Cloud Completion
Daoming Zong, Shiliang Sun, Jing Zhao
A Simple and Effective Self-Supervised Contrastive Learning Framework for Aspect Detection
Tian Shi, Liuqing Li, Ping Wang et al.
A Simple Framework for Cognitive Planning
Jorge Luis Fernandez Davila, Dominique Longin, Emiliano Lorini et al.
Asking the Right Questions: Learning Interpretable Action Models Through Query Answering
Pulkit Verma, Shashank Rao Marpally, Siddharth Srivastava
A Spatial Regulated Patch-Wise Approach for Cervical Dysplasia Diagnosis
Ying Zhang, Yifang Yin, Zhenguang Liu et al.
Aspect-Level Sentiment-Controllable Review Generation with Mutual Learning Framework
Huimin Chen, Yankai Lin, Fanchao Qi et al.
A Student-Teacher Architecture for Dialog Domain Adaptation Under the Meta-Learning Setting
Kun Qian, Wei Wei, Zhou Yu
A Supervised Multi-Head Self-Attention Network for Nested Named Entity Recognition
Yongxiu Xu, Heyan Huang, Chong Feng et al.
Asynchronous Optimization Methods for Efficient Training of Deep Neural Networks with Guarantees
Vyacheslav Kungurtsev, Malcolm Egan, Bapi Chatterjee et al.
Asynchronous Stochastic Gradient Descent for Extreme-Scale Recommender Systems
Lewis Liu, Kun Zhao
Asynchronous Teacher Guided Bit-wise Hard Mining for Online Hashing
Sheng Jin, Qin Zhou, Hongxun Yao et al.
A Systematic Evaluation of Object Detection Networks for Scientific Plots
Pritha Ganguly, Nitesh S Methani, Mitesh M. Khapra et al.
A Theoretical Analysis of the Repetition Problem in Text Generation
Zihao Fu, Wai Lam, Anthony Man-Cho So et al.
A Theory of Independent Mechanisms for Extrapolation in Generative Models
Michel Besserve, Remy Sun, Dominik Janzing et al.
A Trace-restricted Kronecker-Factored Approximation to Natural Gradient
Kaixin Gao, Xiaolei Liu, Zhenghai Huang et al.