Papers
A Survey on Hierarchical Planning – One Abstract Idea, Many Concrete Realizations
Pascal Bercher, Ron Alford, Daniel Höller
A Replication Study of Semantics in Argumentation
Leila Amgoud
Integrating Knowledge and Reasoning in Image Understanding
Somak Aditya, Yezhou Yang, Chitta Baral
Adversarial Attacks on Neural Networks for Graph Data
Daniel Zügner, Amir Akbarnejad, Stephan Günnemann
Taskonomy: Disentangling Task Transfer Learning
Amir Zamir, Alexander Sax, William Shen et al.
Causal Embeddings for Recommendation: An Extended Abstract
Flavian Vasile, Stephen Bonner
Differentiable Physics and Stable Modes for Tool-Use and Manipulation Planning - Extended Abtract
Marc Toussaint, Kelsey R. Allen, Kevin A. Smith et al.
Trust Dynamics and Transfer across Human-Robot Interaction Tasks: Bayesian and Neural Computational Models
Harold Soh, Shu Pan, Min Chen et al.
Optimally Efficient Bidirectional Search
Eshed Shaham, Ariel Felner, Nathan R. Sturtevant et al.
Constraint Games for Stable and Optimal Allocation of Demands in SDN
Anthony Palmieri, Arnaud Lallouet, Luc Pons
Not All FPRASs are Equal: Demystifying FPRASs for DNF-Counting (Extended Abstract)
Kuldeep S. Meel, Aditya A. Shrotri, Moshe Y. Vardi
Discovering Reliable Dependencies from Data: Hardness and Improved Algorithms
Panagiotis Mandros, Mario Boley, Jilles Vreeken
Impact of Consuming Suggested Items on the Assessment of Recommendations in User Studies on Recommender Systems
Benedikt Loepp, Tim Donkers, Timm Kleemann et al.
Delayed Impact of Fair Machine Learning
Lydia T. Liu, Sarah Dean, Esther Rolf et al.
A Walkthrough for the Principle of Logit Separation
Gil Keren, Sivan Sabato, Björn Schuller
Meta-Interpretive Learning Using HEX-Programs
Tobias Kaminski, Thomas Eiter, Katsumi Inoue
On Causal Identification under Markov Equivalence
Amin Jaber, Jiji Zhang, Elias Bareinboim
The Power of Context in Networks: Ideal Point Models with Social Interactions
Mohammad T. Irfan, Tucker Gordon
On Guiding Search in HTN Planning with Classical Planning Heuristics
Daniel Höller, Pascal Bercher, Gregor Behnke et al.
Clause Learning and New Bounds for Graph Coloring
Emmanuel Hebrard, George Katsirelos
The Provable Virtue of Laziness in Motion Planning
Nika Haghtalab, Simon Mackenzie, Ariel D. Procaccia et al.
A Dual Approach to Verify and Train Deep Networks
Sven Gowal, Krishnamurthy Dvijotham, Robert Stanforth et al.
Sharpness of the Satisfiability Threshold for Non-Uniform Random k-SAT
Tobias Friedrich, Ralf Rothenberger
Addressing Age-Related Bias in Sentiment Analysis
Mark Díaz, Isaac Johnson, Amanda Lazar et al.
Do We Need Many-valued Logics for Incomplete Information?
Marco Console, Paolo Guagliardo, Leonid Libkin