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Found 6 papers, 4 papers with code
Mapping-to-Parameter Nonlinear Functional Regression with Novel B-spline Free Knot Placement Algorithm
We propose a novel approach to nonlinear functional regression, called the Mapping-to-Parameter function model, which addresses complex and nonlinear functional regression problems in parameter space by employing any supervised learning technique.
Knowledge From the Dark Side: Entropy-Reweighted Knowledge Distillation for Balanced Knowledge Transfer
Knowledge Distillation (KD) transfers knowledge from a larger "teacher" model to a compact "student" model, guiding the student with the "dark knowledge" $\unicode{x2014}$ the implicit insights present in the teacher's soft predictions.
A Novel Method of Fuzzy Topic Modeling based on Transformer Processing
Topic modeling is admittedly a convenient way to monitor markets trend.
Real-time Automatic M-mode Echocardiography Measurement with Panel Attention from Local-to-Global Pixels
Motion mode (M-mode) recording is an essential part of echocardiography to measure cardiac dimension and function.
Ranked #1 on
Real-time instance measurement
on MEIS
EDU-level Extractive Summarization with Varying Summary Lengths
To fill these gaps, this paper first conducts the comparison analysis of oracle summaries based on EDUs and sentences, which provides evidence from both theoretical and experimental perspectives to justify and quantify that EDUs make summaries with higher automatic evaluation scores than sentences.
UPANets: Learning from the Universal Pixel Attention Networks
Recently, from the successful development of multi-head attention in natural language processing, it is sure that now is a time of either using a Transformer-like model or hybrid CNNs with attention.
Ranked #1 on
Image Classification
on Tiny-ImageNet
