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• Context Matters: Graph-based Self-supervised Representation Learning for Medical Images

  Li Sun, Ke Yu, Kayhan Batmanghelich

  4874-4882

  2021-05-18

• Tracking Disease Outbreaks from Sparse Data with Bayesian Inference

  Bryan Wilder, Michael Mina, Milind Tambe

  4883-4891

  2021-05-18

• C-Watcher: A Framework for Early Detection of High-Risk Neighborhoods Ahead of COVID-19 Outbreak

  Congxi Xiao, Jingbo Zhou, Jizhou Huang, An Zhuo, Ji Liu, Haoyi Xiong, Dejing Dou

  4892-4900

  2021-05-18

• Conversational Neuro-Symbolic Commonsense Reasoning

  Forough Arabshahi, Jennifer Lee, Mikayla Gawarecki, Kathryn Mazaitis, Amos Azaria, Tom Mitchell

  4902-4911

  2021-05-18

• Interpretable Actions: Controlling Experts with Understandable Commands

  Shumeet Baluja, David Marwood, Michele Covell

  4912-4922

  2021-05-18

• Dynamic Neuro-Symbolic Knowledge Graph Construction for Zero-shot Commonsense Question Answering

  Antoine Bosselut, Ronan Le Bras, Yejin Choi

  4923-4931

  2021-05-18

• Aligning Artificial Neural Networks and Ontologies towards Explainable AI

  Manuel de Sousa Ribeiro, João Leite

  4932-4940

  2021-05-18

• Planning from Pixels in Atari with Learned Symbolic Representations

  Andrea Dittadi, Frederik K. Drachmann, Thomas Bolander

  4941-4949

  2021-05-18

• Learning Game-Theoretic Models of Multiagent Trajectories Using Implicit Layers

  Philipp Geiger, Christoph-Nikolas Straehle

  4950-4958

  2021-05-18

• Learning by Fixing: Solving Math Word Problems with Weak Supervision

  Yining Hong, Qing Li, Daniel Ciao, Siyuan Huang, Song-Chun Zhu

  4959-4967

  2021-05-18

• Answering Complex Queries in Knowledge Graphs with Bidirectional Sequence Encoders

  Bhushan Kotnis, Carolin Lawrence, Mathias Niepert

  4968-4977

  2021-05-18

• Self-Supervised Self-Supervision by Combining Deep Learning and Probabilistic Logic

  Hunter Lang, Hoifung Poon

  4978-4986

  2021-05-18

• Explaining Neural Matrix Factorization with Gradient Rollback

  Carolin Lawrence, Timo Sztyler, Mathias Niepert

  4987-4995

  2021-05-18

• A Scalable Reasoning and Learning Approach for Neural-Symbolic Stream Fusion

  Danh Le-Phuoc, Thomas Eiter, Anh Le-Tuan

  4996-5005

  2021-05-18

• Recognizing and Verifying Mathematical Equations using Multiplicative Differential Neural Units

  Ankur Mali, Alexander G. Ororbia, Daniel Kifer, C. Lee Giles

  5006-5015

  2021-05-18

• A Unified Framework for Planning with Learned Neural Network Transition Models

  Buser Say

  5016-5024

  2021-05-18

• Classification by Attention: Scene Graph Classification with Prior Knowledge

  Sahand Sharifzadeh, Sina Moayed Baharlou, Volker Tresp

  5025-5033

  2021-05-18

• Differentiable Inductive Logic Programming for Structured Examples

  Hikaru Shindo, Masaaki Nishino, Akihiro Yamamoto

  5034-5041

  2021-05-18

• Encoding Human Domain Knowledge to Warm Start Reinforcement Learning

  Andrew Silva, Matthew Gombolay

  5042-5050

  2021-05-18

• Neural-Symbolic Integration: A Compositional Perspective

  Efthymia Tsamoura, Timothy Hospedales, Loizos Michael

  5051-5060

  2021-05-18

• Adaptive Teaching of Temporal Logic Formulas to Preference-based Learners

  Zhe Xu, Yuxin Chen, Ufuk Topcu

  5061-5068

  2021-05-18

• Double Oracle Algorithm for Computing Equilibria in Continuous Games

  Lukáš Adam, Rostislav Horčík, Tomáš Kasl, Tomáš Kroupa

  5070-5077

  2021-05-18

• A Few Queries Go a Long Way: Information-Distortion Tradeoffs in Matching

  Georgios Amanatidis, Georgios Birmpas, Aris Filos-Ratsikas, Alexandros A. Voudouris

  5078-5085

  2021-05-18

• Representative Proxy Voting

  Elliot Anshelevich, Zack Fitzsimmons, Rohit Vaish, Lirong Xia

  5086-5093

  2021-05-18

• Forming Better Stable Solutions in Group Formation Games Inspired by Internet Exchange Points (IXPs)

  Elliot Anshelevich, Wennan Zhu

  5094-5101

  2021-05-18