400 Result(s)
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Article
ConDA: state-based data augmentation for context-dependent text-to-SQL
The context-dependent text-to-SQL task has profound real-world implications, as it facilitates users in extracting knowledge from vast databases, which allows users to acquire the information interactively for...
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Article
A novel abstractive summarization model based on topic-aware and contrastive learning
The majority of abstractive summarization models are designed based on the Sequence-to-Sequence(Seq2Seq) architecture. These models are able to capture syntactic and contextual information between words. Howev...
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Article
Research on the Virtual–real Interaction System and Interaction Characteristics of a Single-leg of Quadruped Robots Based on Digital Twin
Quadruped robots which have flexibility and load-bearing capacity, are regarded as the best mobile platform for remote operation in unstructured and restricted environments. In the process of remote operation ...
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Article
Open AccessOptimization-Based Fuzzy System Application on Deformation of Geogrid-Reinforced Soil Structures
When it comes to the geosynthetic-reinforced soil structures’ structural design, the analysis of deformation is of the highest relevance. In spite of this, the academic literature lays a substantial amount of ...
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Article
Re-ID-leak: Membership Inference Attacks Against Person Re-identification
Person re-identification (Re-ID) has rapidly advanced due to its widespread real-world applications. It poses a significant risk of exposing private data from its training dataset. This paper aims to quantify ...
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Article
Adaptive Discriminative Regularization for Visual Classification
How to improve discriminative feature learning is central in classification. Existing works address this problem by explicitly increasing inter-class separability and intra-class compactness by constructing po...
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Article
Domain generalization person re-identification via style adaptation learning
Domain generalization person re-identification (DG Re-ID) aims to deploy a Re-ID model trained on multiple source domains to unseen domains without adaptation, which is a practical and challenging problem. Due...
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Article
Visual surround suppression at the neural and perceptual levels
Surround suppression was initially identified as a phenomenon at the neural level in which stimuli outside the neuron’s receptive field alone cannot activate responses but can modulate neural responses to stim...
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Article
Open AccessRetraction Note: Research on Feature Extraction and Diagnosis Method of Gearbox Vibration Signal Based on VMD and ResNeXt
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Article
A noise-immune and attention-based multi-modal framework for short-term traffic flow forecasting
Accurately forecasting short-term traffic flow is essential for intelligent transportation systems. However, current methods often struggle to fully exploit implicit variation patterns and heterogeneous correl...
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Article
Pruning and quantization algorithm with applications in memristor-based convolutional neural network
The human brain’s ultra-low power consumption and highly parallel computational capabilities can be accomplished by memristor-based convolutional neural networks. However, with the rapid development of memrist...
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Article
A Simple yet Effective Framework for Active Learning to Rank
While China has become the largest online market in the world with approximately 1 billion internet users, Baidu runs the world’s largest Chinese search engine serving more than hundreds of millions of daily a...
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Article
Open AccessTowards accurate knowledge transfer via target-awareness representation disentanglement
Fine-tuning deep neural networks pre-trained on large scale datasets is one of the most practical transfer learning paradigm given limited quantity of training samples. To obtain better generalization, using t...
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Article
Program synthesis algorithm based on context consistency heuristic
Programming-by-example (PBE) is a program synthesis technique that automatically synthesizes computer programs from input–output (I/O) examples. There are many approaches to program synthesis, and one of the m...
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Article
Open AccessDWSR: an architecture optimization framework for adaptive super-resolution neural networks based on meta-heuristics
Despite recent advancements in super-resolution neural network optimization, a fundamental challenge remains unresolved: as the number of parameters is reduced, the network’s performance significantly deterior...
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Chapter and Conference Paper
A Review of Image and Point Cloud Fusion in Autonomous Driving
In the task of autonomous driving perception scenarios, multi-sensor fusion is gradually becoming the current mainstream trend. At this stage, researchers use multimodal fusion to leverage information and ulti...
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Chapter and Conference Paper
Formalization of the Filter Extension Principle (FEP) in Coq
The Filter Extension Principle (FEP) asserts that every filter can be extended to an ultrafilter, which plays a crucial role in the quest for non-principal ultrafilters. Non-principal ultrafilters find widespr...
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Chapter and Conference Paper
AL-SQUARES: SQL Synthesis System with the Addition of Reducer
During the early stages of artificial intelligence development, researchers began exploring methods for computer-aided program synthesis. Among these methods, SQL reverse synthesis emerged as a crucial branch ...
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Chapter and Conference Paper
A TMFV-Based Adaptive E-Learning System for Generating and Allocating Questions
In this study, an adaptive e-learning system called the Adaptive Learning in Multi-form Vocabulary Teaching (AL-TMFV) system is developed. The system is designed to automatically set questions, including setti...
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Chapter and Conference Paper
A Multiple Correspondence Analysis on the Adverbial Uses of the Chinese Color Term Bai ‘White’
This paper conducts a corpus-based semantic analysis on the adverbial uses of the Chinese color term bai ‘white’ regarding its two metaphorical meanings – “In vain/For no reason” and “Free of charge”. Based on di...
