10 citations · 39 across the 10 of their papers we have counts for
5 papers · 1 filter
Transfer Learning in Visual and Relational Reasoning
T. S. Jayram, Vincent Marois, Tomasz Kornuta +3
Transfer learning has become the de facto standard in computer vision and natural language processing, especially where labeled data is scarce. Accuracy can be significantly improv…
Leveraging Medical Visual Question Answering with Supporting Facts
Tomasz Kornuta, Deepta Rajan, Chaitanya Shivade +2
In this working notes paper, we describe IBM Research AI (Almaden) team's participation in the ImageCLEF 2019 VQA-Med competition. The challenge consists of four question-answering…
On transfer learning using a MAC model variant
Vincent Marois, T. S. Jayram, Vincent Albouy +3
We introduce a variant of the MAC model (Hudson and Manning, ICLR 2018) with a simplified set of equations that achieves comparable accuracy, while training faster. We evaluate bot…
Object-based reasoning in VQA
Mikyas T. Desta, Larry Chen, Tomasz Kornuta
Visual Question Answering (VQA) is a novel problem domain where multi-modal inputs must be processed in order to solve the task given in the form of a natural language. As the solu…
Utilization of Deep Reinforcement Learning for saccadic-based object visual search
Tomasz Kornuta, Kamil Rocki
The paper focuses on the problem of learning saccades enabling visual object search. The developed system combines reinforcement learning with a neural network for learning to pred…