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07/10/2023
FedYolo: Augmenting Federated Learning with Pretrained Transformers
The growth and diversity of machine learning applications motivate a ret...
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06/23/2023
Max-Margin Token Selection in Attention Mechanism
Attention mechanism is a central component of the transformer architectu...
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05/15/2023
Learning on Manifolds: Universal Approximations Properties using Geometric Controllability Conditions for Neural ODEs
In numerous robotics and mechanical engineering applications, among othe...
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01/04/2022
AutoBalance: Optimized Loss Functions for Imbalanced Data
Imbalanced datasets are commonplace in modern machine learning problems....
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10/06/2021
Post-hoc Models for Performance Estimation of Machine Learning Inference
Estimating how well a machine learning model performs during inference i...
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05/18/2020
Niose-Sampling Cross Entropy Loss: Improving Disparity Regression Via Cost Volume Aware Regularizer
Recent end-to-end deep neural networks for disparity regression have ach...
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09/09/2019
LCSCNet: Linear Compressing Based Skip-Connecting Network for Image Super-Resolution
In this paper, we develop a concise but efficient network architecture c...
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02/15/2019
Lightweight Feature Fusion Network for Single Image Super-Resolution
Single image super-resolution(SISR) has witnessed great progress as conv...
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08/09/2018