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09/08/2023
GLS-CSC: A Simple but Effective Strategy to Mitigate Chinese STM Models' Over-Reliance on Superficial Clue
Pre-trained models have achieved success in Chinese Short Text Matching ...
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08/30/2023
Physics-Informed DeepMRI: Bridging the Gap from Heat Diffusion to k-Space Interpolation
In the field of parallel imaging (PI), alongside image-domain regulariza...
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08/28/2023
An Empirical Study of Consistency Regularization for End-to-End Speech-to-Text Translation
Consistency regularization methods, such as R-Drop (Liang et al., 2021) ...
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08/13/2023
Dual Meta-Learning with Longitudinally Generalized Regularization for One-Shot Brain Tissue Segmentation Across the Human Lifespan
Brain tissue segmentation is essential for neuroscience and clinical stu...
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08/05/2023
Dynamic Dual-Graph Fusion Convolutional Network For Alzheimer's Disease Diagnosis
In this paper, a dynamic dual-graph fusion convolutional network is prop...
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06/12/2023
Learning Multilingual Sentence Representations with Cross-lingual Consistency Regularization
Multilingual sentence representations are the foundation for similarity-...
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05/12/2023
Improving Zero-shot Multilingual Neural Machine Translation by Leveraging Cross-lingual Consistency Regularization
The multilingual neural machine translation (NMT) model has a promising ...
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05/06/2023
Synthesizing PET images from High-field and Ultra-high-field MR images Using Joint Diffusion Attention Model
MRI and PET are crucial diagnostic tools for brain diseases, as they pro...
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05/04/2023
Meta-Learning Enabled Score-Based Generative Model for 1.5T-Like Image Reconstruction from 0.5T MRI
Magnetic resonance imaging (MRI) is known to have reduced signal-to-nois...
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11/09/2022
ERNIE-UniX2: A Unified Cross-lingual Cross-modal Framework for Understanding and Generation
Recent cross-lingual cross-modal works attempt to extend Vision-Language...
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11/02/2022
PLATO-K: Internal and External Knowledge Enhanced Dialogue Generation
Recently, the practical deployment of open-domain dialogue systems has b...
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10/27/2022
ERNIE-ViLG 2.0: Improving Text-to-Image Diffusion Model with Knowledge-Enhanced Mixture-of-Denoising-Experts
Recent progress in diffusion models has revolutionized the popular techn...
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10/24/2022
A Novel Adaptive Causal Sampling Method for Physics-Informed Neural Networks
Physics-Informed Neural Networks (PINNs) have become a kind of attractiv...
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10/21/2022
Clip-Tuning: Towards Derivative-free Prompt Learning with a Mixture of Rewards
Derivative-free prompt learning has emerged as a lightweight alternative...
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10/12/2022
ERNIE-Layout: Layout Knowledge Enhanced Pre-training for Visually-rich Document Understanding
Recent years have witnessed the rise and success of pre-training techniq...
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09/30/2022
ERNIE-ViL 2.0: Multi-view Contrastive Learning for Image-Text Pre-training
Recent Vision-Language Pre-trained (VLP) models based on dual encoder ha...
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09/02/2022
Self-Score: Self-Supervised Learning on Score-Based Models for MRI Reconstruction
Recently, score-based diffusion models have shown satisfactory performan...
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08/30/2022
Towards Boosting the Open-Domain Chatbot with Human Feedback
Many open-domain dialogue models pre-trained with social media comments ...
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08/25/2022
Citation advantage of COVID-19 related publications
With the global spread of the COVID-19 pandemic, scientists from various...
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08/15/2022
DuETA: Traffic Congestion Propagation Pattern Modeling via Efficient Graph Learning for ETA Prediction at Baidu Maps
Estimated time of arrival (ETA) prediction, also known as travel time es...
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08/11/2022
K-UNN: k-Space Interpolation With Untrained Neural Network
Recently, untrained neural networks (UNNs) have shown satisfactory perfo...
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06/28/2022
SINC: Service Information Augmented Open-Domain Conversation
Generative open-domain dialogue systems can benefit from external knowle...
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06/25/2022
Render unto Numerics : Orthogonal Polynomial Neural Operator for PDEs with Non-periodic Boundary Conditions
By learning the map between function spaces using carefully designed dee...
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06/22/2022
Evolutionary Game-Theoretical Analysis for General Multiplayer Asymmetric Games
Evolutionary game theory has been a successful tool to combine classical...
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06/06/2022
Bi-SimCut: A Simple Strategy for Boosting Neural Machine Translation
We introduce Bi-SimCut: a simple but effective training strategy to boos...
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05/25/2022
Less Learn Shortcut: Analyzing and Mitigating Learning of Spurious Feature-Label Correlation
Many recent works indicate that the deep neural networks tend to take da...
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05/23/2022
A Fine-grained Interpretability Evaluation Benchmark for Neural NLP
While there is increasing concern about the interpretability of neural m...
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05/18/2022
ERNIE-Search: Bridging Cross-Encoder with Dual-Encoder via Self On-the-fly Distillation for Dense Passage Retrieval
Neural retrievers based on pre-trained language models (PLMs), such as d...
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05/17/2022
HelixADMET: a robust and endpoint extensible ADMET system incorporating self-supervised knowledge transfer
Accurate ADMET (an abbreviation for "absorption, distribution, metabolis...
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04/22/2022
Towards Multi-Turn Empathetic Dialogs with Positive Emotion Elicitation
Emotional support is a crucial skill for many real-world scenarios, incl...
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04/15/2022
Where to Go for the Holidays: Towards Mixed-Type Dialogs for Clarification of User Goals
Most dialog systems posit that users have figured out clear and specific...
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04/05/2022
Multi-Weight Respecification of Scan-specific Learning for Parallel Imaging
Parallel imaging is widely used in magnetic resonance imaging as an acce...
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03/19/2022
DuReader_retrieval: A Large-scale Chinese Benchmark for Passage Retrieval from Web Search Engine
In this paper, we present DuReader_retrieval, a large-scale Chinese data...
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03/17/2022
POLARIS: A Geographic Pre-trained Model and its Applications in Baidu Maps
Pre-trained models (PTMs) have become a fundamental backbone for downstr...
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03/17/2022
UNIMO-2: End-to-End Unified Vision-Language Grounded Learning
Vision-Language Pre-training (VLP) has achieved impressive performance o...
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03/11/2022
Long Time No See! Open-Domain Conversation with Long-Term Persona Memory
Most of the open-domain dialogue models tend to perform poorly in the se...
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02/19/2022
Function-valued RKHS-based Operator Learning for Differential Equations
Recently, a steam of works seek for solving a family of partial differen...
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02/16/2022
Understanding the Impact of the COVID-19 Pandemic on Transportation-related Behaviors with Human Mobility Data
The constrained outbreak of COVID-19 in Mainland China has recently been...
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02/05/2022
Semantic Similarity Computing Model Based on Multi Model Fine-Grained Nonlinear Fusion
Natural language processing (NLP) task has achieved excellent performanc...
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01/03/2022
A Gradient Mapping Guided Explainable Deep Neural Network for Extracapsular Extension Identification in 3D Head and Neck Cancer Computed Tomography Images
Diagnosis and treatment management for head and neck squamous cell carci...
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01/03/2022
Rice Diseases Detection and Classification Using Attention Based Neural Network and Bayesian Optimization
In this research, an attention-based depthwise separable neural network ...
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12/31/2021
ERNIE-ViLG: Unified Generative Pre-training for Bidirectional Vision-Language Generation
Conventional methods for the image-text generation tasks mainly tackle t...
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12/23/2021
ERNIE 3.0 Titan: Exploring Larger-scale Knowledge Enhanced Pre-training for Language Understanding and Generation
Pre-trained language models have achieved state-of-the-art results in va...
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12/23/2021
TOD-DA: Towards Boosting the Robustness of Task-oriented Dialogue Modeling on Spoken Conversations
Task-oriented dialogue systems have been plagued by the difficulties of ...
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12/18/2021
Equilibrated Zeroth-Order Unrolled Deep Networks for Accelerated MRI
Recently, model-driven deep learning unrolls a certain iterative algorit...
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12/16/2021
DuQM: A Chinese Dataset of Linguistically Perturbed Natural Questions for Evaluating the Robustness of Question Matching Models
In this paper, we focus on studying robustness evaluation of Chinese que...
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12/06/2021
End-to-end Adaptive Distributed Training on PaddlePaddle
Distributed training has become a pervasive and effective approach for t...
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12/01/2021
Highly accelerated MR parametric mapping by undersampling the k-space and reducing the contrast number simultaneously with deep learning
Purpose: To propose a novel deep learning-based method called RG-Net (re...
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11/18/2021
Docking-based Virtual Screening with Multi-Task Learning
Machine learning shows great potential in virtual screening for drug dis...
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10/25/2021