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09/12/2023
Re-Reading Improves Reasoning in Language Models
Reasoning presents a significant and challenging issue for Large Languag...
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06/02/2023
Enhancing the Protein Tertiary Structure Prediction by Multiple Sequence Alignment Generation
The field of protein folding research has been greatly advanced by deep ...
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05/23/2023
Spatial-temporal Prompt Learning for Federated Weather Forecasting
Federated weather forecasting is a promising collaborative learning fram...
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05/15/2023
AF2-Mutation: Adversarial Sequence Mutations against AlphaFold2 on Protein Tertiary Structure Prediction
Deep learning-based approaches, such as AlphaFold2 (AF2), have significa...
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05/12/2023
Knowledge Refinement via Interaction Between Search Engines and Large Language Models
Information retrieval (IR) plays a crucial role in locating relevant res...
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04/27/2023
Large Language Models are Strong Zero-Shot Retriever
In this work, we propose a simple method that applies a large language m...
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02/06/2023
LexLIP: Lexicon-Bottlenecked Language-Image Pre-Training for Large-Scale Image-Text Retrieval
Image-text retrieval (ITR) is a task to retrieve the relevant images/tex...
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01/22/2023
Prompt Federated Learning for Weather Forecasting: Toward Foundation Models on Meteorological Data
To tackle the global climate challenge, it urgently needs to develop a c...
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12/20/2022
Fine-Grained Distillation for Long Document Retrieval
Long document retrieval aims to fetch query-relevant documents from a la...
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12/20/2022
Adam: Dense Retrieval Distillation with Adaptive Dark Examples
To improve the performance of the dual-encoder retriever, one effective ...
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12/19/2022
Optimal Individualized Decision-Making with Proxies
A common concern when a policymaker draws causal inferences from and mak...
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09/12/2022
DUET: A Tuning-Free Device-Cloud Collaborative Parameters Generation Framework for Efficient Device Model Generalization
Device Model Generalization (DMG) is a practical yet under-investigated ...
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08/31/2022
LexMAE: Lexicon-Bottlenecked Pretraining for Large-Scale Retrieval
In large-scale retrieval, the lexicon-weighting paradigm, learning weigh...
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08/29/2022
LED: Lexicon-Enlightened Dense Retriever for Large-Scale Retrieval
Retrieval models based on dense representations in semantic space have b...
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07/04/2022
E2Efold-3D: End-to-End Deep Learning Method for accurate de novo RNA 3D Structure Prediction
RNA structure determination and prediction can promote RNA-targeted drug...
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06/21/2022
KnowDA: All-in-One Knowledge Mixture Model for Data Augmentation in Few-Shot NLP
This paper focuses on text data augmentation for few-shot NLP tasks. The...
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06/16/2022
Towards Robust Ranker for Text Retrieval
A ranker plays an indispensable role in the de facto 'retrieval rera...
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05/23/2022
UnifieR: A Unified Retriever for Large-Scale Retrieval
Large-scale retrieval is to recall relevant documents from a huge collec...
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03/04/2022
ClarET: Pre-training a Correlation-Aware Context-To-Event Transformer for Event-Centric Generation and Classification
Generating new events given context with correlated ones plays a crucial...
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01/28/2022
PCL: Peer-Contrastive Learning with Diverse Augmentations for Unsupervised Sentence Embeddings
Learning sentence embeddings in an unsupervised manner is fundamental in...
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11/11/2021
Edge-Cloud Polarization and Collaboration: A Comprehensive Survey
Influenced by the great success of deep learning via cloud computing and...
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10/13/2021
EventBERT: A Pre-Trained Model for Event Correlation Reasoning
Event correlation reasoning infers whether a natural language paragraph ...
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09/07/2021
Sequential Diagnosis Prediction with Transformer and Ontological Representation
Sequential diagnosis prediction on the Electronic Health Record (EHR) ha...
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09/06/2021
Eliminating Sentiment Bias for Aspect-Level Sentiment Classification with Unsupervised Opinion Extraction
Aspect-level sentiment classification (ALSC) aims at identifying the sen...
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08/24/2021
Federated Learning for Privacy-Preserving Open Innovation Future on Digital Health
Privacy protection is an ethical issue with broad concern in Artificial ...
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07/20/2021
MIMO: Mutual Integration of Patient Journey and Medical Ontology for Healthcare Representation Learning
Healthcare representation learning on the Electronic Health Record (EHR)...
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05/24/2021
Federated Graph Learning – A Position Paper
Graph neural networks (GNN) have been successful in many fields, and der...
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05/11/2021
EBM-Fold: Fully-Differentiable Protein Folding Powered by Energy-based Models
Accurate protein structure prediction from amino-acid sequences is criti...
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05/10/2021
tFold-TR: Combining Deep Learning Enhanced Hybrid Potential Energy for Template-Based Modelling Structure Refinement
Proteins structure prediction has long been a grand challenge over the p...
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10/18/2020
Federated Unsupervised Representation Learning
To leverage enormous unlabeled data on distributed edge devices, we form...
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10/10/2020
RatE: Relation-Adaptive Translating Embedding for Knowledge Graph Completion
Many graph embedding approaches have been proposed for knowledge graph c...
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09/24/2020
BiteNet: Bidirectional Temporal Encoder Network to Predict Medical Outcomes
Electronic health records (EHRs) are longitudinal records of a patient's...
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06/27/2020
Federated Mutual Learning
Federated learning enables collaboratively training machine learning mod...
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05/03/2020
Multi-Center Federated Learning
Federated learning has received great attention for its capability to tr...
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04/30/2020
Semantic Triple Encoder for Fast Open-Set Link Prediction
We improve both the open-set generalization and efficiency of link predi...
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04/29/2020
Exploiting Structured Knowledge in Text via Graph-Guided Representation Learning
In this work, we aim at equipping pre-trained language models with struc...
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11/27/2019
Self-Attention Enhanced Selective Gate with Entity-Aware Embedding for Distantly Supervised Relation Extraction
Distantly supervised relation extraction intrinsically suffers from nois...
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10/11/2019
Multi-Task Learning for Conversational Question Answering over a Large-Scale Knowledge Base
We consider the problem of conversational question answering over a larg...
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09/15/2019
Temporal Self-Attention Network for Medical Concept Embedding
In longitudinal electronic health records (EHRs), the event records of a...
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09/06/2019
Effective Search of Logical Forms for Weakly Supervised Knowledge-Based Question Answering
Many algorithms for Knowledge-Based Question Answering (KBQA) depend on ...
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05/02/2018
Fast Directional Self-Attention Mechanism
In this paper, we propose a self-attention mechanism, dubbed "fast direc...
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04/03/2018
Bi-Directional Block Self-Attention for Fast and Memory-Efficient Sequence Modeling
Recurrent neural networks (RNN), convolutional neural networks (CNN) and...
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01/31/2018
Reinforced Self-Attention Network: a Hybrid of Hard and Soft Attention for Sequence Modeling
Many natural language processing tasks solely rely on sparse dependencie...
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09/14/2017
