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07/13/2023
DIALGEN: Collaborative Human-LM Generated Dialogues for Improved Understanding of Human-Human Conversations
Applications that could benefit from automatic understanding of human-hu...
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07/01/2023
S-Omninet: Structured Data Enhanced Universal Multimodal Learning Architecture
Multimodal multitask learning has attracted an increasing interest in re...
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05/02/2023
Early Classifying Multimodal Sequences
Often pieces of information are received sequentially over time. When di...
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04/07/2023
A Policy for Early Sequence Classification
Sequences are often not received in their entirety at once, but instead,...
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02/28/2023
Gradient-Boosted Based Structured and Unstructured Learning
We propose two frameworks to deal with problem settings in which both st...
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02/28/2023
Multi-Layer Attention-Based Explainability via Transformers for Tabular Data
We propose a graph-oriented attention-based explainability method for ta...
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03/01/2022
Tricks and Plugins to GBM on Images and Sequences
Convolutional neural networks (CNNs) and transformers, which are compose...
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01/31/2021
Classification Models for Partially Ordered Sequences
Many models such as Long Short Term Memory (LSTMs), Gated Recurrent Unit...
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09/29/2020
Inverse Classification with Limited Budget and Maximum Number of Perturbed Samples
Most recent machine learning research focuses on developing new classifi...
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09/25/2018
Combined convolutional and recurrent neural networks for hierarchical classification of images
Deep learning models based on CNNs are predominantly used in image class...
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09/24/2018
Unified recurrent neural network for many feature types
There are time series that are amenable to recurrent neural network (RNN...
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08/30/2018
