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09/12/2023
Dual-Path Temporal Map Optimization for Make-up Temporal Video Grounding
Make-up temporal video grounding (MTVG) aims to localize the target vide...
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09/06/2023
Improving Code Generation by Dynamic Temperature Sampling
Recently, Large Language Models (LLMs) have shown impressive results in ...
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09/03/2023
A method based on hierarchical spatiotemporal features for trojan traffic detection
Trojans are one of the most threatening network attacks currently. HTTP-...
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08/30/2023
Affective Visual Dialog: A Large-Scale Benchmark for Emotional Reasoning Based on Visually Grounded Conversations
We introduce Affective Visual Dialog, an emotion explanation and reasoni...
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08/26/2023
EditSum: A Retrieve-and-Edit Framework for Source Code Summarization
Existing studies show that code summaries help developers understand and...
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08/26/2023
ZC3: Zero-Shot Cross-Language Code Clone Detection
Developers introduce code clones to improve programming productivity. Ma...
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08/25/2023
Exploiting Diverse Feature for Multimodal Sentiment Analysis
In this paper, we present our solution to the MuSe-Personalisation sub-c...
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08/24/2023
A Co-training Approach for Noisy Time Series Learning
In this work, we focus on robust time series representation learning. Ou...
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08/20/2023
Cell Spatial Analysis in Crohn's Disease: Unveiling Local Cell Arrangement Pattern with Graph-based Signatures
Crohn's disease (CD) is a chronic and relapsing inflammatory condition t...
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07/31/2023
Towards Unbalanced Motion: Part-Decoupling Network for Video Portrait Segmentation
Video portrait segmentation (VPS), aiming at segmenting prominent foregr...
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07/22/2023
Spectral Normalized-Cut Graph Partitioning with Fairness Constraints
Normalized-cut graph partitioning aims to divide the set of nodes in a g...
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07/15/2023
Semantic Contrastive Bootstrapping for Single-positive Multi-label Recognition
Learning multi-label image recognition with incomplete annotation is gai...
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07/04/2023
All in One: Multi-task Prompting for Graph Neural Networks
Recently, ”pre-training and fine-tuning” has been adopted as a standard ...
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06/28/2023
Human Sensing via Passive Spectrum Monitoring
Human sensing is significantly improving our lifestyle in many fields su...
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06/21/2023
GADBench: Revisiting and Benchmarking Supervised Graph Anomaly Detection
With a long history of traditional Graph Anomaly Detection (GAD) algorit...
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06/02/2023
GAD-NR: Graph Anomaly Detection via Neighborhood Reconstruction
Graph Anomaly Detection (GAD) is a technique used to identify abnormal n...
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06/01/2023
Using Genetic Programming to Build Self-Adaptivity into Software-Defined Networks
Self-adaptation solutions need to periodically monitor, reason about, an...
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05/24/2023
EvEval: A Comprehensive Evaluation of Event Semantics for Large Language Models
Events serve as fundamental units of occurrence within various contexts....
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05/19/2023
Smart Pressure e-Mat for Human Sleeping Posture and Dynamic Activity Recognition
With the emphasis on healthcare, early childhood education, and fitness,...
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05/11/2023
Enabling Programming Thinking in Large Language Models Toward Code Generation
Large Language Models (LLMs) (e.g., ChatGPT) have shown impressive perfo...
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05/11/2023
A Fused Gromov-Wasserstein Framework for Unsupervised Knowledge Graph Entity Alignment
Entity alignment is the task of identifying corresponding entities acros...
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05/09/2023
StarCoder: may the source be with you!
The BigCode community, an open-scientific collaboration working on the r...
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05/06/2023
Self-Edit: Fault-Aware Code Editor for Code Generation
Large language models (LLMs) have demonstrated an impressive ability to ...
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05/06/2023
ToolCoder: Teach Code Generation Models to use API search tools
Automatically generating source code from natural language descriptions ...
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04/10/2023
Missing Data Imputation with Graph Laplacian Pyramid Network
Data imputation is a prevalent and important task due to the ubiquitousn...
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04/01/2023
Cross-scale Multi-instance Learning for Pathological Image Diagnosis
Analyzing high resolution whole slide images (WSIs) with regard to infor...
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03/31/2023
Towards Enhancing In-Context Learning for Code Generation
In-context learning (ICL) with pre-trained language models (PTLMs) has s...
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03/16/2023
Multimodal Feature Extraction and Fusion for Emotional Reaction Intensity Estimation and Expression Classification in Videos with Transformers
In this paper, we present our solutions to the two sub-challenges of Aff...
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03/13/2023
TriDet: Temporal Action Detection with Relative Boundary Modeling
In this paper, we present a one-stage framework TriDet for temporal acti...
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03/12/2023
A Convergent Single-Loop Algorithm for Relaxation of Gromov-Wasserstein in Graph Data
In this work, we present the Bregman Alternating Projected Gradient (BAP...
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03/04/2023
Decision Support System for Chronic Diseases Based on Drug-Drug Interactions
Many patients with chronic diseases resort to multiple medications to re...
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02/25/2023
Knowledge Graph Completion with Counterfactual Augmentation
Graph Neural Networks (GNNs) have demonstrated great success in Knowledg...
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02/13/2023
SkCoder: A Sketch-based Approach for Automatic Code Generation
Recently, deep learning techniques have shown great success in automatic...
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02/08/2023
Syntax and Domain Aware Model for Unsupervised Program Translation
There is growing interest in software migration as the development of so...
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01/30/2023
Robust Attributed Graph Alignment via Joint Structure Learning and Optimal Transport
Graph alignment, which aims at identifying corresponding entities across...
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01/17/2023
Rethinking Lightweight Salient Object Detection via Network Depth-Width Tradeoff
Existing salient object detection methods often adopt deeper and wider n...
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01/09/2023
SantaCoder: don't reach for the stars!
The BigCode project is an open-scientific collaboration working on the r...
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01/05/2023
Max-Min Diversification with Fairness Constraints: Exact and Approximation Algorithms
Diversity maximization aims to select a diverse and representative subse...
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12/28/2022
Parsing Objects at a Finer Granularity: A Survey
Fine-grained visual parsing, including fine-grained part segmentation an...
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12/28/2022
Part-guided Relational Transformers for Fine-grained Visual Recognition
Fine-grained visual recognition is to classify objects with visually sim...
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12/22/2022
Self-supervised Hypergraph Representation Learning for Sociological Analysis
Modern sociology has profoundly uncovered many convincing social criteri...
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11/30/2022
Handling Missing Data via Max-Entropy Regularized Graph Autoencoder
Graph neural networks (GNNs) are popular weapons for modeling relational...
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11/20/2022
The Stack: 3 TB of permissively licensed source code
Large Language Models (LLMs) play an ever-increasing role in the field o...
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11/03/2022
Fine-Tuning Pre-Trained Language Models Effectively by Optimizing Subnetworks Adaptively
Large-scale pre-trained language models have achieved impressive results...
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10/31/2022
CodeEditor: Learning to Edit Source Code with Pre-trained Models
Developers often perform repetitive code editing activities for various ...
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10/31/2022
Poison Attack and Defense on Deep Source Code Processing Models
In the software engineering community, deep learning (DL) has recently b...
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09/27/2022
View-aware Salient Object Detection for 360° Omnidirectional Image
Image-based salient object detection (ISOD) in 360 scenarios is signific...
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09/16/2022
ImDrug: A Benchmark for Deep Imbalanced Learning in AI-aided Drug Discovery
The last decade has witnessed a prosperous development of computational ...
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08/15/2022
Cross-scale Attention Guided Multi-instance Learning for Crohn's Disease Diagnosis with Pathological Images
Multi-instance learning (MIL) is widely used in the computer-aided inter...
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08/15/2022
