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08/08/2023
Metaheuristic Algorithms in Artificial Intelligence with Applications to Bioinformatics, Biostatistics, Ecology and, the Manufacturing Industries
Nature-inspired metaheuristic algorithms are important components of art...
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03/16/2023
Steering Prototype with Prompt-tuning for Rehearsal-free Continual Learning
Prototype, as a representation of class embeddings, has been explored to...
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03/01/2023
StraIT: Non-autoregressive Generation with Stratified Image Transformer
We propose Stratified Image Transformer(StraIT), a pure non-autoregressi...
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08/26/2022
Deep Hypergraph Structure Learning
Learning on high-order correlation has shown superiority in data represe...
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03/30/2022
Learning Instance-Specific Adaptation for Cross-Domain Segmentation
We propose a test-time adaptation method for cross-domain image segmenta...
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01/17/2022
Exploit Customer Life-time Value with Memoryless Experiments
As a measure of the long-term contribution produced by customers in a se...
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09/07/2021
Learning Fast Sample Re-weighting Without Reward Data
Training sample re-weighting is an effective approach for tackling data ...
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06/14/2021
Improved Transformer for High-Resolution GANs
Attention-based models, exemplified by the Transformer, can effectively ...
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05/26/2021
Aggregating Nested Transformers
Although hierarchical structures are popular in recent vision transforme...
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01/11/2021
Learning from Weakly-labeled Web Videos via Exploring Sub-Concepts
Learning visual knowledge from massive weakly-labeled web videos has att...
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10/19/2020
PseudoSeg: Designing Pseudo Labels for Semantic Segmentation
Recent advances in semi-supervised learning (SSL) demonstrate that a com...
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06/04/2020
Image Augmentations for GAN Training
Data augmentations have been widely studied to improve the accuracy and ...
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05/10/2020
A Simple Semi-Supervised Learning Framework for Object Detection
Semi-supervised learning (SSL) has promising potential for improving the...
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02/11/2020
Improved Consistency Regularization for GANs
Recent work has increased the performance of Generative Adversarial Netw...
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01/21/2020
FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence
Semi-supervised learning (SSL) provides an effective means of leveraging...
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12/03/2019
Distance-Based Learning from Errors for Confidence Calibration
Deep neural networks (DNNs) are poorly-calibrated when trained in conven...
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10/26/2019
Consistency Regularization for Generative Adversarial Networks
Generative Adversarial Networks (GANs) are known to be difficult to trai...
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10/16/2019
Consistency-Based Semi-Supervised Active Learning: Towards Minimizing Labeling Cost
Active learning (AL) integrates data labeling and model training to mini...
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10/01/2019
IEG: Robust Neural Network Training to Tackle Severe Label Noise
Collecting large-scale data with clean labels for supervised training of...
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02/08/2019
Reducing Uncertainty in Undersampled MRI Reconstruction with Active Acquisition
The goal of MRI reconstruction is to restore a high fidelity image from ...
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11/27/2018
A Scalable Optimization Mechanism for Pairwise based Discrete Hashing
Maintaining the pair similarity relationship among originally high-dimen...
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11/21/2018
fastMRI: An Open Dataset and Benchmarks for Accelerated MRI
Accelerating Magnetic Resonance Imaging (MRI) by taking fewer measuremen...
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09/25/2018
Hypergraph Neural Networks
In this paper, we present a hypergraph neural networks (HGNN) framework ...
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02/27/2018
Translating and Segmenting Multimodal Medical Volumes with Cycle- and Shape-Consistency Generative Adversarial Network
Synthesized medical images have several important applications, e.g., as...
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02/26/2018
Photographic Text-to-Image Synthesis with a Hierarchically-nested Adversarial Network
This paper presents a novel method to deal with the challenging task of ...
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08/24/2017
Recent Advances in the Applications of Convolutional Neural Networks to Medical Image Contour Detection
The fast growing deep learning technologies have become the main solutio...
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08/10/2017
TandemNet: Distilling Knowledge from Medical Images Using Diagnostic Reports as Optional Semantic References
In this paper, we introduce the semantic knowledge of medical images fro...
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07/08/2017