activity
20172021
most citedGenerating Diverse and Meaningful Captions

16 citations · 20 across the 7 of their papers we have counts for

collaborators

17 papers

cs.LG2021

Adversarial Attacks on Knowledge Graph Embeddings via Instance Attribution Methods

Peru Bhardwaj, John Kelleher, Luca Costabello +1

Despite the widespread use of Knowledge Graph Embeddings (KGE), little is known about the security vulnerabilities that might disrupt their intended behaviour. We study data poison…

cs.LG2020

Mutual Information Decay Curves and Hyper-Parameter Grid Search Design for Recurrent Neural Architectures

Abhijit Mahalunkar, John D. Kelleher

We present an approach to design the grid searches for hyper-parameter optimization for recurrent neural architectures. The basis for this approach is the use of mutual information…

cs.CL2020

Language-Driven Region Pointer Advancement for Controllable Image Captioning

Annika Lindh, Robert J. Ross, John D. Kelleher

Controllable Image Captioning is a recent sub-field in the multi-modal task of Image Captioning wherein constraints are placed on which regions in an image should be described in t…

cs.CL2020

Semantic Relatedness and Taxonomic Word Embeddings

Magdalena Kacmajor, John D. Kelleher, Filip Klubicka +1

This paper connects a series of papers dealing with taxonomic word embeddings. It begins by noting that there are different types of semantic relatedness and that different lexical…

cs.LG2019

Multi-Element Long Distance Dependencies: Using SPk Languages to Explore the Characteristics of Long-Distance Dependencies

Abhijit Mahalunkar, John D. Kelleher

In order to successfully model Long Distance Dependencies (LDDs) it is necessary to understand the full-range of the characteristics of the LDDs exhibited in a target dataset. In t…

cs.HC20193 cited

Referring to the recently seen: reference and perceptual memory in situated dialog

John D. Kelleher, Simon Dobnik

From theoretical linguistic and cognitive perspectives, situated dialog systems are interesting as they provide ideal test-beds for investigating the interaction between language a…