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08/23/2023
LLMRec: Benchmarking Large Language Models on Recommendation Task
Recently, the fast development of Large Language Models (LLMs) such as C...
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08/18/2023
Attention Calibration for Transformer-based Sequential Recommendation
Transformer-based sequential recommendation (SR) has been booming in rec...
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07/05/2023
Multimodal Prompt Learning for Product Title Generation with Extremely Limited Labels
Generating an informative and attractive title for the product is a cruc...
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06/05/2023
Benchmarking Large Language Models on CMExam – A Comprehensive Chinese Medical Exam Dataset
Recent advancements in large language models (LLMs) have transformed the...
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05/26/2023
Large Language Models Are Partially Primed in Pronoun Interpretation
While a large body of literature suggests that large language models (LL...
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04/06/2023
Implicit Anatomical Rendering for Medical Image Segmentation with Stochastic Experts
Integrating high-level semantically correlated contents and low-level an...
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04/05/2023
ACTION++: Improving Semi-supervised Medical Image Segmentation with Adaptive Anatomical Contrast
Medical data often exhibits long-tail distributions with heavy class imb...
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02/03/2023
Rethinking Semi-Supervised Medical Image Segmentation: A Variance-Reduction Perspective
For medical image segmentation, contrastive learning is the dominant pra...
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11/22/2022
Aligning Source Visual and Target Language Domains for Unpaired Video Captioning
Training supervised video captioning model requires coupled video-captio...
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10/23/2022
Retrieve, Reason, and Refine: Generating Accurate and Faithful Patient Instructions
The "Patient Instruction" (PI), which contains critical instructional in...
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09/27/2022
Mine yOur owN Anatomy: Revisiting Medical Image Segmentation with Extremely Limited Labels
Recent studies on contrastive learning have achieved remarkable performa...
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09/01/2022
Learning correspondences of cardiac motion from images using biomechanics-informed modeling
Learning spatial-temporal correspondences in cardiac motion from images ...
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07/20/2022
Flow-based Visual Quality Enhancer for Super-resolution Magnetic Resonance Spectroscopic Imaging
Magnetic Resonance Spectroscopic Imaging (MRSI) is an essential tool for...
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06/17/2022
Multi-scale Super-resolution Magnetic Resonance Spectroscopic Imaging with Adjustable Sharpness
Magnetic Resonance Spectroscopic Imaging (MRSI) is a valuable tool for s...
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06/10/2022
Graph-in-Graph Network for Automatic Gene Ontology Description Generation
Gene Ontology (GO) is the primary gene function knowledge base that enab...
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06/07/2022
MIRNF: Medical Image Registration via Neural Fields
Image registration is widely used in medical image analysis to provide s...
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06/06/2022
Bootstrapping Semi-supervised Medical Image Segmentation with Anatomical-aware Contrastive Distillation
Contrastive learning has shown great promise over annotation scarcity pr...
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06/03/2022
Incremental Learning Meets Transfer Learning: Application to Multi-site Prostate MRI Segmentation
Many medical datasets have recently been created for medical image segme...
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01/26/2022
Class-Aware Generative Adversarial Transformers for Medical Image Segmentation
Transformers have made remarkable progress towards modeling long-range d...
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01/03/2022
KerGNNs: Interpretable Graph Neural Networks with Graph Kernels
Graph kernels are historically the most widely-used technique for graph ...
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11/08/2021
Auto-Encoding Knowledge Graph for Unsupervised Medical Report Generation
Medical report generation, which aims to automatically generate a long a...
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10/28/2021
MEGAN: Memory Enhanced Graph Attention Network for Space-Time Video Super-Resolution
Space-time video super-resolution (STVSR) aims to construct a high space...
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08/13/2021
SimCVD: Simple Contrastive Voxel-Wise Representation Distillation for Semi-Supervised Medical Image Segmentation
Automated segmentation in medical image analysis is a challenging task t...
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06/04/2021
Self-supervised Dialogue Learning for Spoken Conversational Question Answering
In spoken conversational question answering (SCQA), the answer to the co...
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05/16/2021
Undistillable: Making A Nasty Teacher That CANNOT teach students
Knowledge Distillation (KD) is a widely used technique to transfer knowl...
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05/14/2021
Momentum Contrastive Voxel-wise Representation Learning for Semi-supervised Volumetric Medical Image Segmentation
Automated segmentation in medical image analysis is a challenging task t...
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01/08/2021
Good Students Play Big Lottery Better
Lottery ticket hypothesis suggests that a dense neural network contains ...
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12/20/2020
Adaptive Bi-directional Attention: Exploring Multi-Granularity Representations for Machine Reading Comprehension
Recently, the attention-enhanced multi-layer encoder, such as Transforme...
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10/21/2020
Knowledge Distillation for Improved Accuracy in Spoken Question Answering
Spoken question answering (SQA) is a challenging task that requires the ...
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10/21/2020
Contextualized Attention-based Knowledge Transfer for Spoken Conversational Question Answering
Spoken conversational question answering (SCQA) requires machines to mod...
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10/18/2020
Towards Data Distillation for End-to-end Spoken Conversational Question Answering
In spoken question answering, QA systems are designed to answer question...
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09/06/2020
Unsupervised Wasserstein Distance Guided Domain Adaptation for 3D Multi-Domain Liver Segmentation
Deep neural networks have shown exceptional learning capability and gene...
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11/26/2018
Low-Dose CT via Deep CNN with Skip Connection and Network in Network
A major challenge in computed tomography (CT) is how to minimize patient...
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08/10/2018
CT Super-resolution GAN Constrained by the Identical, Residual, and Cycle Learning Ensemble(GAN-CIRCLE)
Computed tomography (CT) is a popular medical imaging modality for scree...
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05/02/2018