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03/04/2023
IKD+: Reliable Low Complexity Deep Models For Retinopathy Classification
Deep neural network (DNN) models for retinopathy have estimated predicti...
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02/20/2023
Domain-Specific Pretraining Improves Confidence in Whole Slide Image Classification
Whole Slide Images (WSIs) or histopathology images are used in digital p...
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01/15/2023
Neuro-symbolic Meta Reinforcement Learning for Trading
We model short-duration (e.g. day) trading in financial markets as a seq...
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01/04/2023
A Protocol for Intelligible Interaction Between Agents That Learn and Explain
Recent engineering developments have seen the emergence of Machine Learn...
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11/29/2022
Neural Feature-Adaptation for Symbolic Predictions Using Pre-Training and Semantic Loss
We are interested in neurosymbolic systems consisting of a high-level sy...
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09/19/2022
Knowledge-based Analogical Reasoning in Neuro-symbolic Latent Spaces
Analogical Reasoning problems challenge both connectionist and symbolic ...
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06/01/2022
Composition of Relational Features with an Application to Explaining Black-Box Predictors
Relational machine learning programs like those developed in Inductive L...
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11/19/2021
Solving Visual Analogies Using Neural Algorithmic Reasoning
We consider a class of visual analogical reasoning problems that involve...
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10/19/2021
Using Program Synthesis and Inductive Logic Programming to solve Bongard Problems
The ability to recognise and make analogies is often used as a measure o...
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10/14/2021
Zero-Shot Dense Retrieval with Momentum Adversarial Domain Invariant Representations
Dense retrieval (DR) methods conduct text retrieval by first encoding te...
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07/21/2021
How to Tell Deep Neural Networks What We Know
We present a short survey of ways in which existing scientific knowledge...
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05/22/2021
Inclusion of Domain-Knowledge into GNNs using Mode-Directed Inverse Entailment
We present a general technique for constructing Graph Neural Networks (G...
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02/27/2021
Incorporating Domain Knowledge into Deep Neural Networks
We present a survey of ways in which domain-knowledge has been included ...
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12/19/2020
Constructing and Evaluating an Explainable Model for COVID-19 Diagnosis from Chest X-rays
In this paper, our focus is on constructing models to assist a clinician...
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10/23/2020
Incorporating Symbolic Domain Knowledge into Graph Neural Networks
Our interest is in scientific problems with the following characteristic...
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07/23/2019
Dr.Quad at MEDIQA 2019: Towards Textual Inference and Question Entailment using contextualized representations
This paper presents the submissions by Team Dr.Quad to the ACL-BioNLP 20...
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06/06/2019
One-shot Information Extraction from Document Images using Neuro-Deductive Program Synthesis
Our interest in this paper is in meeting a rapidly growing industrial de...
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12/11/2018
Deep Reader: Information extraction from Document images via relation extraction and Natural Language
Recent advancements in the area of Computer Vision with state-of-art Neu...
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07/02/2018
Logical Explanations for Deep Relational Machines Using Relevance Information
Our interest in this paper is in the construction of symbolic explanatio...
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12/20/2016
Neuro-symbolic EDA-based Optimisation using ILP-enhanced DBNs
We investigate solving discrete optimisation problems using the estimati...
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08/03/2016
Generation of Near-Optimal Solutions Using ILP-Guided Sampling
Our interest in this paper is in optimisation problems that are intracta...
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10/31/2011