2 citations · 3 across the 2 of their papers we have counts for
3 papers
Divergences in Color Perception between Deep Neural Networks and Humans
Ethan O. Nadler, Elise Darragh-Ford, Bhargav Srinivasa Desikan +4
Deep neural networks (DNNs) are increasingly proposed as models of human vision, bolstered by their impressive performance on image classification and object recognition tasks. Yet…
Signal in Noise: Exploring Meaning Encoded in Random Character Sequences with Character-Aware Language Models
Mark Chu, Bhargav Srinivasa Desikan, Ethan O. Nadler +3
Natural language processing models learn word representations based on the distributional hypothesis, which asserts that word context (e.g., co-occurrence) correlates with meaning.…
comp-syn: Perceptually Grounded Word Embeddings with Color
Bhargav Srinivasa Desikan, Tasker Hull, Ethan O. Nadler +4
Popular approaches to natural language processing create word embeddings based on textual co-occurrence patterns, but often ignore embodied, sensory aspects of language. Here, we i…