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08/28/2023
Proceedings 39th International Conference on Logic Programming
This volume contains the Technical Communications presented at the 39th ...
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07/09/2023
Reasoning over the Behaviour of Objects in Video-Clips for Adverb-Type Recognition
In this work, following the intuition that adverbs describing scene-sequ...
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04/11/2023
Towards preserving word order importance through Forced Invalidation
Large pre-trained language models such as BERT have been widely used as ...
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03/29/2023
Neuro-symbolic Rule Learning in Real-world Classification Tasks
Neuro-symbolic rule learning has attracted lots of attention as it offer...
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03/24/2023
Learning Reward Machines in Cooperative Multi-Agent Tasks
This paper presents a novel approach to Multi-Agent Reinforcement Learni...
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07/15/2022
Sparse Relational Reasoning with Object-Centric Representations
We investigate the composability of soft-rules learned by relational neu...
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06/21/2022
Automatic Concept Extraction for Concept Bottleneck-based Video Classification
Recent efforts in interpretable deep learning models have shown that con...
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05/31/2022
Hierarchies of Reward Machines
Reward machines (RMs) are a recent formalism for representing the reward...
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05/25/2022
Inductive Learning of Complex Knowledge from Raw Data
One of the ultimate goals of Artificial Intelligence is to learn general...
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09/16/2021
Numerical reasoning in machine reading comprehension tasks: are we there yet?
Numerical reasoning based machine reading comprehension is a task that i...
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06/24/2021
FF-NSL: Feed-Forward Neural-Symbolic Learner
Inductive Logic Programming (ILP) aims to learn generalised, interpretab...
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06/14/2021
pix2rule: End-to-end Neuro-symbolic Rule Learning
Humans have the ability to seamlessly combine low-level visual input wit...
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05/23/2021
PASOCS: A Parallel Approximate Solver for Probabilistic Logic Programs under the Credal Semantics
The Credal semantics is a probabilistic extension of the answer set sema...
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04/05/2021
Discrete Reasoning Templates for Natural Language Understanding
Reasoning about information from multiple parts of a passage to derive a...
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01/17/2021
HySTER: A Hybrid Spatio-Temporal Event Reasoner
The task of Video Question Answering (VideoQA) consists in answering nat...
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12/09/2020
NSL: Hybrid Interpretable Learning From Noisy Raw Data
Inductive Logic Programming (ILP) systems learn generalised, interpretab...
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11/13/2020
On the Transferability of VAE Embeddings using Relational Knowledge with Semi-Supervision
We propose a new model for relational VAE semi-supervision capable of ba...
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10/19/2020
FLAP – A Federated Learning Framework for Attribute-based Access Control Policies
Technology advances in areas such as sensors, IoT, and robotics, enable ...
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09/19/2020
Proceedings 36th International Conference on Logic Programming (Technical Communications)
Since the first conference held in Marseille in 1982, ICLP has been the ...
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09/08/2020
Induction and Exploitation of Subgoal Automata for Reinforcement Learning
In this paper we present ISA, an approach for learning and exploiting su...
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06/12/2020
Learning Diverse Representations for Fast Adaptation to Distribution Shift
The i.i.d. assumption is a useful idealization that underpins many succe...
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05/02/2020
The ILASP system for Inductive Learning of Answer Set Programs
The goal of Inductive Logic Programming (ILP) is to learn a program that...
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03/02/2020
A general framework for scientifically inspired explanations in AI
Explainability in AI is gaining attention in the computer science commun...
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11/29/2019
Induction of Subgoal Automata for Reinforcement Learning
In this work we present ISA, a novel approach for learning and exploitin...
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11/27/2019
Learning Neural Search Policies for Classical Planning
Heuristic forward search is currently the dominant paradigm in classical...
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09/16/2019
Learning Invariants through Soft Unification
Human reasoning involves recognising common underlying principles across...
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07/12/2019
Saliency Maps Generation for Automatic Text Summarization
Saliency map generation techniques are at the forefront of explainable A...
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10/23/2018
Learning Classical Planning Strategies with Policy Gradient
A common paradigm in classical planning is heuristic forward search. For...
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08/25/2018
Inductive Learning of Answer Set Programs from Noisy Examples
In recent years, non-monotonic Inductive Logic Programming has received ...
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05/18/2018
DeepLogic: End-to-End Logical Reasoning
Neural networks have been learning complex multi-hop reasoning in variou...
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07/21/2017
Towards learning domain-independent planning heuristics
Automated planning remains one of the most general paradigms in Artifici...
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08/05/2016
Iterative Learning of Answer Set Programs from Context Dependent Examples
In recent years, several frameworks and systems have been proposed that ...
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07/25/2011