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09/06/2023
Prompt-based Effective Input Reformulation for Legal Case Retrieval
Legal case retrieval plays an important role for legal practitioners to ...
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07/13/2023
TinyMetaFed: Efficient Federated Meta-Learning for TinyML
The field of Tiny Machine Learning (TinyML) has made substantial advance...
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07/13/2023
AutoHint: Automatic Prompt Optimization with Hint Generation
This paper presents AutoHint, a novel framework for automatic prompt eng...
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02/03/2023
Revisiting Long-tailed Image Classification: Survey and Benchmarks with New Evaluation Metrics
Recently, long-tailed image classification harvests lots of research att...
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12/08/2022
A Novel Efficient Signcryption Scheme for Resource-Constrained Smart Terminals in Cyber-Physical Power Systems
Most of the existing signcryption schemes generate pseudonym by key gene...
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11/19/2022
Tired of Over-smoothing? Stress Graph Drawing Is All You Need!
In designing and applying graph neural networks, we often fall into some...
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09/15/2022
Causal Coupled Mechanisms: A Control Method with Cooperation and Competition for Complex System
Complex systems are ubiquitous in the real world and tend to have compli...
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09/12/2022
TEDL: A Two-stage Evidential Deep Learning Method for Classification Uncertainty Quantification
In this paper, we propose TEDL, a two-stage learning approach to quantif...
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06/07/2022
Object Scan Context: Object-centric Spatial Descriptor for Place Recognition within 3D Point Cloud Map
Place recognition technology endows a SLAM algorithm with the ability to...
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06/06/2022
Real2Sim or Sim2Real: Robotics Visual Insertion using Deep Reinforcement Learning and Real2Sim Policy Adaptation
Reinforcement learning has shown a wide usage in robotics tasks, such as...
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05/02/2022
Attack Detection for Networked Control Systems Using Event-Triggered Dynamic Watermarking
Dynamic watermarking schemes can enhance the cyber attack detection capa...
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03/11/2022
Integrating Dependency Tree Into Self-attention for Sentence Representation
Recent progress on parse tree encoder for sentence representation learni...
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01/20/2022
Signature Entrenchment and Conceptual Changes in Automated Theory Repair
Human beliefs change, but so do the concepts that underpin them. The rec...
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12/19/2021
Camera-aware Style Separation and Contrastive Learning for Unsupervised Person Re-identification
Unsupervised person re-identification (ReID) is a challenging task witho...
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04/27/2021
Confined Gradient Descent: Privacy-preserving Optimization for Federated Learning
Federated learning enables multiple participants to collaboratively trai...
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01/22/2021
An ensemble solver for segregated cardiovascular FSI
Computational models are increasingly used for diagnosis and treatment o...
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01/15/2021
TextGNN: Improving Text Encoder via Graph Neural Network in Sponsored Search
Text encoders based on C-DSSM or transformers have demonstrated strong p...
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11/26/2020
Learning Causal Bayesian Networks from Text
Causal relationships form the basis for reasoning and decision-making in...
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10/19/2020
A Unified Model for Recommendation with Selective Neighborhood Modeling
Neighborhood-based recommenders are a major class of Collaborative Filte...
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05/30/2020
Understanding the Message Passing in Graph Neural Networks via Power Iteration
The mechanism of message passing in graph neural networks(GNNs) is still...
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05/28/2020
Disentanglement Then Reconstruction: Learning Compact Features for Unsupervised Domain Adaptation
Recent works in domain adaptation always learn domain invariant features...
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05/28/2020
Learning Various Length Dependence by Dual Recurrent Neural Networks
Recurrent neural networks (RNNs) are widely used as a memory model for s...
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04/16/2020
Suicidal Ideation and Mental Disorder Detection with Attentive Relation Networks
Mental health is a critical issue in the modern society, mental disorder...
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03/21/2020
Dynamic Sampling and Selective Masking for Communication-Efficient Federated Learning
Federated learning (FL) is a novel machine learning setting which enable...
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03/19/2020
Clustering with Fast, Automated and Reproducible assessment applied to longitudinal neural tracking
Across many areas, from neural tracking to database entity resolution, m...
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11/07/2019
Sequence-Aware Factorization Machines for Temporal Predictive Analytics
In various web applications like targeted advertising and recommender sy...
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10/23/2019
Suicidal Ideation Detection: A Review of Machine Learning Methods and Applications
Suicide is a critical issue in the modern society. Early detection and p...
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09/27/2019
DBRec: Dual-Bridging Recommendation via Discovering Latent Groups
In recommender systems, the user-item interaction data is usually sparse...
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05/19/2019
Decentralized Learning with Average Difference Aggregation for Proactive Online Social Care
The Internet and the Web are being increasingly used in proactive social...
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01/30/2019
Learning Fast Matching Models from Weak Annotations
This paper proposes a novel training scheme for fast matching models in ...
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12/17/2018
Learning Private Neural Language Modeling with Attentive Aggregation
Mobile keyboard suggestion is typically regarded as a word-level languag...
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08/03/2018
Where-and-When to Look: Deep Siamese Attention Networks for Video-based Person Re-identification
Video-based person re-identification (re-id) is a central application in...
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06/29/2018
YH Technologies at ActivityNet Challenge 2018
This notebook paper presents an overview and comparative analysis of our...
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05/08/2018
The Effectiveness of Instance Normalization: a Strong Baseline for Single Image Dehazing
We propose a novel deep neural network architecture for the challenging ...
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10/14/2017
When Point Process Meets RNNs: Predicting Fine-Grained User Interests with Mutual Behavioral Infectivity
Predicting fine-grained interests of users with temporal behavior is imp...
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07/21/2017
What-and-Where to Match: Deep Spatially Multiplicative Integration Networks for Person Re-identification
Matching pedestrians across disjoint camera views, known as person re-id...
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07/17/2017
PDD Graph: Bridging Electronic Medical Records and Biomedical Knowledge Graphs via Entity Linking
Electronic medical records contain multi-format electronic medical data ...
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06/10/2017
Deep Adaptive Feature Embedding with Local Sample Distributions for Person Re-identification
Person re-identification (re-id) aims to match pedestrians observed by d...
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04/20/2017
Call Attention to Rumors: Deep Attention Based Recurrent Neural Networks for Early Rumor Detection
The proliferation of social media in communication and information disse...
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06/09/2014