Nyströmformer: A Nyström-Based Algorithm for Approximating Self-Attention Ravi, Shailesh Acharya, Glenn Fung, Vikas Singh You only sample (almost) once: Linear cost self-attention via Bernoulli sampling

Linear Programming with Nonparametric Penalty Programs and Iterated Thresholding Knowledge-Based Neural Network Classifiers Saravanan Thirumuruganathan, Han Li, Nan Tang, Mourad Ouzzani, Yash Govind, Derek Paulsen, Glenn Fung, AnHai Doan.Ī Model for Zero-shot Text Multi-labeling Using Semantics-based LabelsĪnanth Raj GV, Daniel Dickinson, Glenn Fungĭocument Classification and Information Extraction framework for Insurance ApplicationsĪnanth Raj GV, Qian You, Eric Bunch, James Kim, Marepally Santosh, Daniel Dickinson, Glenn Fung Aug 2021.ĭeep Learning for Blocking in Entity Matching: A Design Space Exploration. Journal of the Royal Statistical Society. Jeff Kline, Devin Conathan, Glenn Fung, Zachary Zhou.Īssessing Hail Risk for Property Insurers with a Dependent Marked Point Process Low Resource Quadratic Forms for Knowledge Graph Embeddings Jaya Krishna Mandivarapu, Eric Bunch, Glenn Fung. Practical applications of metric space magnitude and weighting vectorsĮric bunch, Dan Dickinson, Jeffrey Kline, Glenn Fungĭomain Agnostic Few-Shot Learning For Document Intelligence Non-subscribers can contact the authors to request a copy of the paper. WIREs Data Mining Knowledge Discovery 2020 e1363. Maleeha Qazi, Kaya Tollas, Teja Kanchinadam, Joseph Bockhorst, Glenn Fung ĭesigning and Deploying Insurance Recommender Systems Using Machine Learning Workshop on Data Science with Human in the Loop (DaSH). Human-In-The-Loop Topic Discovery with Word Embedding LDA for Insurance Applications Workshop on Conversational Systems Towards Mainstream Adoption. Using Optimal Embeddings to Learn New Intents with Few Examples: An Application in the Insurance Domain Workshop on Knowledge Graphs and E-commerce. KDD 2020.Īn Interactive Scribe for Guiding Task-Oriented Conversations in Enterprise Call Centersĭevin Conathan, Joseph Bockhorst, Dan Dickinson, Shailesh Acharya, Glenn Fung, Scott Rouse Rationale-based Active Learning with Supervised Attention Teja Kanchinadam, Zihang Meng, Joseph Bockhorst, Vikas Singh, Glenn Fung Predicting satisfaction after customer's phone interactions: A GNN approach Teja Kanchinadam, Qian You, Keith Westpfahl, James Kim, Siva Gunda, Sebastian Seith, Glenn FungĪpplications of Metric Space Magnitude to Machine Learning via Boundary Detection Spotlight session at the Topological Data Analysis and Beyond: Workshop at NeurIPS 2020Ī Simple yet Brisk and Efficient Active Learning Platform for Text Classification

Weighting vectors for machine learning: numerical harmonic analysis applied to boundary detectionĮric Bunch, Daniel Dickinson, Jeffery Kline, Glenn Fung Poster session at the Topological Data Analysis and Beyond: Workshop at NeurIPS 2020 Simplicial 2-Complex Convolutional Neural NetworksĮric Bunch, Qian You, Glenn Fung, Vikas Singh In Proceedings of the ITC32 Conference, Osaka, Japan, September, 2020 Jeffery Kline, Avram Aelony, Brian Carpenter and Paul Barford

Triangulated Rank-ordering of Web Domains Unital Sums of the Möbius and Mertens Functions

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