IJCLR 2021 Opening

(19:34)

IJCLR 2021 - NeSy Industry Track

(1:46:53)

IJCLR 2021 - NeSy - A New Concept for Explaining Graph Neural Networks

(13:59)

IJCLR 2021 - ILP - Scalable Non-observational Predicate Learning in ASP

(13:38)

IJCLR 2021 - ILP - Beneficial and Harmful Explanatory Machine Learning

(11:36)

IJCLR 2021 Keynote Talk by Zhi-Hua Zhou: \

(46:30)

IJCLR 2021 - ILP - Generative Clausal Networks: Relational Decision Trees as Probabilistic Circuits

(9:18)

IJCLR 2021 - Nesy XAI Tutorial

(57:46)

IJCLR 2021 - ILP - Learning Programs by Learning from Failures

(13:50)

IJCLR 2021 - AAIP - Programmatic Policy Extraction by Iterative Local Search

(15:25)

IJCLR 2021 - ILP - autoBOT: Evolving Neuro‑Symbolic Representations for Explainable Low-Resource...

(12:2)

IJCLR 2021 - ILP - Lifting Symmetry Breaking Constraints with Inductive Logic Programming

(12:42)

IJCLR 2021 - ILP - Symbolic DNN Tuner

(8:24)

IJCLR 2021: A Comparison of Statistical Relational Learning and Graph Neural Networks for...

(21:24)

IJCLR 2021 - AAIP Inv. Talk by Armando Solar-Lezama: Neurosymbolic Reasoning for Better Learning

(33:3)

IJCLR 2021 - NeSy Invited Talk by Ian Horrocks: Knowledge Graphs: Theory, Applications \u0026 Challenges

(27:47)

IJCLR 2021 Keynote Talk by Gary Marcus: \

(43:)

IJCLR 2021 - NeSy - Coherent and Consistent Relational Transfer Learning with Auto encoders

(18:26)

IJCLR 2021: Detect, Understand, Act: A Neuro-Symbolic Hierarchical Reinforcement Learning Framework

(18:17)