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06/21/2023
Interactive Molecular Discovery with Natural Language
Natural language is expected to be a key medium for various human-machin...
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05/07/2023
Unified Demonstration Retriever for In-Context Learning
In-context learning is a new learning paradigm where a language model co...
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04/26/2023
Filter Pruning via Filters Similarity in Consecutive Layers
Filter pruning is widely adopted to compress and accelerate the Convolut...
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10/21/2022
HCL: Improving Graph Representation with Hierarchical Contrastive Learning
Contrastive learning has emerged as a powerful tool for graph representa...
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05/29/2022
SFE-AI at SemEval-2022 Task 11: Low-Resource Named Entity Recognition using Large Pre-trained Language Models
Large scale pre-training models have been widely used in named entity re...
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05/18/2022
PASH at TREC 2021 Deep Learning Track: Generative Enhanced Model for Multi-stage Ranking
This paper describes the PASH participation in TREC 2021 Deep Learning T...
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03/11/2022
Automatic Fine-grained Glomerular Lesion Recognition in Kidney Pathology
Recognition of glomeruli lesions is the key for diagnosis and treatment ...
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03/02/2022
CandidateDrug4Cancer: An Open Molecular Graph Learning Benchmark on Drug Discovery for Cancer
Anti-cancer drug discoveries have been serendipitous, we sought to prese...
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12/09/2021
Superpixel-Based Building Damage Detection from Post-earthquake Very High Resolution Imagery Using Deep Neural Networks
Building damage detection after natural disasters like earthquakes is cr...
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10/26/2021
Pairwise Half-graph Discrimination: A Simple Graph-level Self-supervised Strategy for Pre-training Graph Neural Networks
Self-supervised learning has gradually emerged as a powerful technique f...
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10/11/2021
Multi-institutional Validation of Two-Streamed Deep Learning Method for Automated Delineation of Esophageal Gross Tumor Volume using planning-CT and FDG-PETCT
Background: The current clinical workflow for esophageal gross tumor vol...
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09/23/2021
SAME: Deformable Image Registration based on Self-supervised Anatomical Embeddings
In this work, we introduce a fast and accurate method for unsupervised 3...
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09/20/2021
DeepStationing: Thoracic Lymph Node Station Parsing in CT Scans using Anatomical Context Encoding and Key Organ Auto-Search
Lymph node station (LNS) delineation from computed tomography (CT) scans...
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06/24/2021
Winner Team Mia at TextVQA Challenge 2021: Vision-and-Language Representation Learning with Pre-trained Sequence-to-Sequence Model
TextVQA requires models to read and reason about text in images to answe...
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06/15/2021
CBLUE: A Chinese Biomedical Language Understanding Evaluation Benchmark
Artificial Intelligence (AI), along with the recent progress in biomedic...
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05/05/2021
Lesion Segmentation and RECIST Diameter Prediction via Click-driven Attention and Dual-path Connection
Measuring lesion size is an important step to assess tumor growth and mo...
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05/03/2021
Weakly-Supervised Universal Lesion Segmentation with Regional Level Set Loss
Accurately segmenting a variety of clinically significant lesions from w...
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04/29/2021
Scalable Semi-supervised Landmark Localization for X-ray Images using Few-shot Deep Adaptive Graph
Landmark localization plays an important role in medical image analysis....
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04/12/2021
Learning from Subjective Ratings Using Auto-Decoded Deep Latent Embeddings
Depending on the application, radiological diagnoses can be associated w...
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03/24/2021
Semi-Supervised Learning for Bone Mineral Density Estimation in Hip X-ray Images
Bone mineral density (BMD) is a clinically critical indicator of osteopo...
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12/21/2020
Learn molecular representations from large-scale unlabeled molecules for drug discovery
How to produce expressive molecular representations is a fundamental cha...
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12/09/2020
Semi-supervised Active Learning for Instance Segmentation via Scoring Predictions
Active learning generally involves querying the most representative samp...
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09/22/2020
AutoRC: Improving BERT Based Relation Classification Models via Architecture Search
Although BERT based relation classification (RC) models have achieved si...
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09/04/2020
AutoTrans: Automating Transformer Design via Reinforced Architecture Search
Though the transformer architectures have shown dominance in many natura...
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07/31/2017