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03/10/2023
Towards MoE Deployment: Mitigating Inefficiencies in Mixture-of-Expert (MoE) Inference
Mixture-of-Experts (MoE) models have gained popularity in achieving stat...
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04/22/2022
SegDiscover: Visual Concept Discovery via Unsupervised Semantic Segmentation
Visual concept discovery has long been deemed important to improve inter...
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03/20/2021
Interpretable Machine Learning: Fundamental Principles and 10 Grand Challenges
Interpretability in machine learning (ML) is crucial for high stakes dec...
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12/08/2020
Understanding How Dimension Reduction Tools Work: An Empirical Approach to Deciphering t-SNE, UMAP, TriMAP, and PaCMAP for Data Visualization
Dimension reduction (DR) techniques such as t-SNE, UMAP, and TriMAP have...
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09/22/2019
Volume Preserving Image Segmentation with Entropic Regularization Optimal Transport and Its Applications in Deep Learning
Image segmentation with a volume constraint is an important prior for ma...
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06/06/2018
Normalized Cut with Adaptive Similarity and Spatial Regularization
In this paper, we propose a normalized cut segmentation algorithm with s...
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05/21/2018
