G. Fung

发表

Multi Resolution Analysis (MRA) for Approximate Self-Attention

Zhanpeng Zeng, Sourav Pal, Vikas Singh, 2022, ICML.

You Only Sample (Almost) Once: Linear Cost Self-Attention Via Bernoulli Sampling

Vikas Singh, Sathya Ravi, Yunyang Xiong, 2021, ICML.

Domain Agnostic Few-Shot Learning For Document Intelligence pdf

Jaya Krishna Mandivarapu, Glenn Fung, Eric Hunch, 2021, ArXiv.

Weighting vectors for machine learning: numerical harmonic analysis applied to boundary detection

Glenn Fung, Jeffery Kline, Eric Bunch, 2020, ArXiv.

Nyströmformer: A Nyström-Based Algorithm for Approximating Self-Attention

Glenn M. Fung, Mingxing Tan, Yin Li, 2021, AAAI.

Efficient Relative Attribute Learning Using Graph Neural Networks

Vikas Singh, Glenn Fung, Hyunwoo J. Kim, 2018, ECCV.

Probabilistic-Logic Bots for Efficient Evaluation of Business Rules Using Conversational Interfaces

Joseph Bockhorst, Glenn M. Fung, Devin Conathan, 2019, AAAI.

Ordinal Regression using Noisy Pairwise Comparisons for Quetelet Index Range Estimation

G. Fung, L. Polanía, Dongning Wang, 2018 .

Simplicial 2-Complex Convolutional Neural Networks

Glenn Fung, Vikas Singh, Eric Bunch, 2020 .

A Simple yet Brisk and Efficient Active Learning Platform for Text Classification pdf

Sebastian Seith, Teja Kanchinadam, Qian You, 2021, ArXiv.

Designing and deploying insurance recommender systems using machine learning

Glenn Fung, Teja Kanchinadam, Maleeha Qazi, 2020, Wiley Interdiscip. Rev. Data Min. Knowl. Discov..

Using Optimal Embeddings to Learn New Intents with Few Examples: An Application in the Insurance Domain

Glenn Fung, Shailesh Acharya, Shailesh Acharya, 2020, Converse@KDD.

Knowledge Graph-Driven Conversational Agents

Joseph Bockhorst, G. Fung, D. Conathan, 2019 .

Using Discriminative Graphical Models for Insurance Recommender Systems

Glenn Fung, Joseph Bockhorst, Maleeha Qazi, 2018, 2018 17th IEEE International Conference on Machine Learning and Applications (ICMLA).

An Insurance Recommendation System Using Bayesian Networks

Maleeha Qazi, Glenn M. Fung, Katie J. Meissner, 2017, RecSys.

Task-Optimized Word Embeddings for Text Classification Representations

Glenn Fung, Sukrat Gupta, Teja Kanchinadam, 2020, Frontiers in Applied Mathematics and Statistics.

Optimizing Nondecomposable Data Dependent Regularizers via Lagrangian Reparameterization offers Significant Performance and Efficiency Gains

Sathya N. Ravi, Abhay Venkatesh, Glenn Moo Fung, 2019, AAAI.

Human-In-The-Loop Topic Discovery with Embedded Text Representations

Eric Bunch, Qian You, G. Fung, 2020, DaSH@KDD.

Practical applications of metric space magnitude and weighting vectors pdf

Glenn Fung, Eric Bunch, Daniel Dickinson, 2020, ArXiv.

Efficient Document Image Classification Using Region-Based Graph Neural Network pdf

Jaya Krishna Mandivarapu, Eric Bunch, Qian You, 2021, ArXiv.

SGD Distributional Dynamics of Three Layer Neural Networks pdf

Yazhen Wang, Glenn Fung, Victor Luo, 2020, ArXiv.