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09/13/2023
APICom: Automatic API Completion via Prompt Learning and Adversarial Training-based Data Augmentation
Based on developer needs and usage scenarios, API (Application Programmi...
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06/06/2023
Query Complexity of Active Learning for Function Family With Nearly Orthogonal Basis
Many machine learning algorithms require large numbers of labeled data t...
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06/05/2023
DAGrid: Directed Accumulator Grid
Recent research highlights that the Directed Accumulator (DA), through i...
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05/30/2023
DyGen: Learning from Noisy Labels via Dynamics-Enhanced Generative Modeling
Learning from noisy labels is a challenge that arises in many real-world...
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05/25/2023
FedHC: A Scalable Federated Learning Framework for Heterogeneous and Resource-Constrained Clients
Federated Learning (FL) is a distributed learning paradigm that empowers...
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05/15/2023
Continual Multimodal Knowledge Graph Construction
Multimodal Knowledge Graph Construction (MKGC) involves creating structu...
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04/23/2023
GACER: Granularity-Aware ConcurrEncy Regulation for Multi-Tenant Deep Learning
As deep learning continues to advance and is applied to increasingly com...
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04/11/2023
Loop Closure Detection Based on Object-level Spatial Layout and Semantic Consistency
Visual simultaneous localization and mapping (SLAM) systems face challen...
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03/21/2023
Learning A Sparse Transformer Network for Effective Image Deraining
Transformers-based methods have achieved significant performance in imag...
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03/09/2023
A Syntax-Guided Multi-Task Learning Approach for Turducken-Style Code Generation
Due to the development of pre-trained language models, automated code ge...
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02/28/2023
Self-Supervised Interest Transfer Network via Prototypical Contrastive Learning for Recommendation
Cross-domain recommendation has attracted increasing attention from indu...
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02/17/2023
Binary Embedding-based Retrieval at Tencent
Large-scale embedding-based retrieval (EBR) is the cornerstone of search...
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01/25/2023
One Model for All Domains: Collaborative Domain-Prefix Tuning for Cross-Domain NER
Cross-domain NER is a challenging task to address the low-resource probl...
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12/19/2022
Reasoning with Language Model Prompting: A Survey
Reasoning, as an essential ability for complex problem-solving, can prov...
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11/29/2022
How Important are Good Method Names in Neural Code Generation? A Model Robustness Perspective
Pre-trained code generation models (PCGMs) have been widely applied in n...
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11/24/2022
Joint segmentation and discontinuity-preserving deformable registration: Application to cardiac cine-MR images
Medical image registration is a challenging task involving the estimatio...
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11/24/2022
How We Express Ourselves Freely: Censorship, Self-censorship, and Anti-censorship on a Chinese Social Media
Censorship, anti-censorship, and self-censorship in an authoritarian reg...
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11/14/2022
On Analyzing the Role of Image for Visual-enhanced Relation Extraction
Multimodal relation extraction is an essential task for knowledge graph ...
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11/02/2022
Title2Event: Benchmarking Open Event Extraction with a Large-scale Chinese Title Dataset
Event extraction (EE) is crucial to downstream tasks such as new aggrega...
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10/26/2022
ReSel: N-ary Relation Extraction from Scientific Text and Tables by Learning to Retrieve and Select
We study the problem of extracting N-ary relation tuples from scientific...
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10/19/2022
Schema-aware Reference as Prompt Improves Data-Efficient Relational Triple and Event Extraction
Information Extraction, which aims to extract structural relational trip...
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10/19/2022
Towards Realistic Low-resource Relation Extraction: A Benchmark with Empirical Baseline Study
This paper presents an empirical study to build relation extraction syst...
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10/01/2022
Multimodal Analogical Reasoning over Knowledge Graphs
Analogical reasoning is fundamental to human cognition and holds an impo...
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09/30/2022
Fed-CBS: A Heterogeneity-Aware Client Sampling Mechanism for Federated Learning via Class-Imbalance Reduction
Due to limited communication capacities of edge devices, most existing f...
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08/04/2022
QC-ODKLA: Quantized and Communication-Censored Online Decentralized Kernel Learning via Linearized ADMM
This paper focuses on online kernel learning over a decentralized networ...
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07/11/2022
On the Age of Information for AMP based Grant-Free Random Access
With the rapid development of Internet of Things (IoT), massive devices ...
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06/27/2022
BashExplainer: Retrieval-Augmented Bash Code Comment Generation based on Fine-tuned CodeBERT
Developers use shell commands for many tasks, such as file system manage...
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06/20/2022
Domain-Adaptive Text Classification with Structured Knowledge from Unlabeled Data
Domain adaptive text classification is a challenging problem for the lar...
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05/29/2022
Decoupling Knowledge from Memorization: Retrieval-augmented Prompt Learning
Prompt learning approaches have made waves in natural language processin...
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05/07/2022
Good Visual Guidance Makes A Better Extractor: Hierarchical Visual Prefix for Multimodal Entity and Relation Extraction
Multimodal named entity recognition and relation extraction (MNER and MR...
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05/04/2022
Hybrid Transformer with Multi-level Fusion for Multimodal Knowledge Graph Completion
Multimodal Knowledge Graphs (MKGs), which organize visual-text factual k...
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05/04/2022
Relation Extraction as Open-book Examination: Retrieval-enhanced Prompt Tuning
Pre-trained language models have contributed significantly to relation e...
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04/28/2022
BI-GreenNet: Learning Green's functions by boundary integral network
Green's function plays a significant role in both theoretical analysis a...
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04/24/2022
M2N: Mesh Movement Networks for PDE Solvers
Mainstream numerical Partial Differential Equation (PDE) solvers require...
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04/15/2022
Dense Learning based Semi-Supervised Object Detection
Semi-supervised object detection (SSOD) aims to facilitate the training ...
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04/11/2022
Defect Identification, Categorization, and Repair: Better Together
Just-In-Time defect prediction (JIT-DP) models can identify defect-induc...
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04/07/2022
TOSE: A Fast Capacity Determination Algorithm Based on Random Matrix Theory
Wireless network capacity is one of the most important performance metri...
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04/01/2022
QuadraLib: A Performant Quadratic Neural Network Library for Architecture Optimization and Design Exploration
The significant success of Deep Neural Networks (DNNs) is highly promote...
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03/28/2022
Optimization of Directional Landmark Deployment for Visual Observer on SE(3)
An optimization method is proposed in this paper for novel deployment of...
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03/20/2022
NeuralReshaper: Single-image Human-body Retouching with Deep Neural Networks
In this paper, we present NeuralReshaper, a novel method for semantic re...
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03/17/2022
A Survey of Multi-Tenant Deep Learning Inference on GPU
Deep Learning (DL) models have achieved superior performance. Meanwhile,...
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03/15/2022
Unpaired Deep Image Dehazing Using Contrastive Disentanglement Learning
We present an effective unpaired learning based image dehazing network f...
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02/20/2022
SOTitle: A Transformer-based Post Title Generation Approach for Stack Overflow
On Stack Overflow, developers can not only browse question posts to solv...
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02/20/2022
DualSC: Automatic Generation and Summarization of Shellcode via Transformer and Dual Learning
A shellcode is a small piece of code and it is executed to exploit a sof...
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02/17/2022
Single UHD Image Dehazing via Interpretable Pyramid Network
Currently, most single image dehazing models cannot run an ultra-high-re...
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01/29/2022
A Simple Information-Based Approach to Unsupervised Domain-Adaptive Aspect-Based Sentiment Analysis
Aspect-based sentiment analysis (ABSA) is a fine-grained sentiment analy...
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01/27/2022
Ontology-enhanced Prompt-tuning for Few-shot Learning
Few-shot Learning (FSL) is aimed to make predictions based on a limited ...
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01/14/2022
Reasoning Through Memorization: Nearest Neighbor Knowledge Graph Embeddings
Previous knowledge graph embedding approaches usually map entities to re...
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01/10/2022
DeepKE: A Deep Learning Based Knowledge Extraction Toolkit for Knowledge Base Population
We present a new open-source and extensible knowledge extraction toolkit...
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01/09/2022