1 citations · 2 across the 4 of their papers we have counts for
5 papers
Continuously Generalized Ordinal Regression for Linear and Deep Models
Fred Lu, Francis Ferraro, Edward Raff
Ordinal regression is a classification task where classes have an order and prediction error increases the further the predicted class is from the true class. The standard approach…
Discriminative and Generative Transformer-based Models For Situation Entity Classification
Mehdi Rezaee, Kasra Darvish, Gaoussou Youssouf Kebe +1
We re-examine the situation entity (SE) classification task with varying amounts of available training data. We exploit a Transformer-based variational autoencoder to encode senten…
Neural Variational Learning for Grounded Language Acquisition
Nisha Pillai, Cynthia Matuszek, Francis Ferraro
We propose a learning system in which language is grounded in visual percepts without specific pre-defined categories of terms. We present a unified generative method to acquire a…
Sampling Approach Matters: Active Learning for Robotic Language Acquisition
Nisha Pillai, Edward Raff, Francis Ferraro +1
Ordering the selection of training data using active learning can lead to improvements in learning efficiently from smaller corpora. We present an exploration of active learning ap…
Presentation and Analysis of a Multimodal Dataset for Grounded Language Learning
Patrick Jenkins, Rishabh Sachdeva, Gaoussou Youssouf Kebe +7
Grounded language acquisition -- learning how language-based interactions refer to the world around them -- is amajor area of research in robotics, NLP, and HCI. In practice the da…