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09/19/2023
Visible and NIR Image Fusion Algorithm Based on Information Complementarity
Visible and near-infrared(NIR) band sensors provide images that capture ...
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09/19/2023
Rethinking Imitation-based Planner for Autonomous Driving
In recent years, imitation-based driving planners have reported consider...
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09/18/2023
Self-supervised Multi-view Clustering in Computer Vision: A Survey
Multi-view clustering (MVC) has had significant implications in cross-mo...
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09/11/2023
Zero-Shot Co-salient Object Detection Framework
Co-salient Object Detection (CoSOD) endeavors to replicate the human vis...
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09/02/2023
Towards Code Watermarking with Dual-Channel Transformations
The expansion of the open source community and the rise of large languag...
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08/30/2023
Maximin-Aware Allocations of Indivisible Chores with Symmetric and Asymmetric Agents
The real-world deployment of fair allocation algorithms usually involves...
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08/28/2023
DiffSmooth: Certifiably Robust Learning via Diffusion Models and Local Smoothing
Diffusion models have been leveraged to perform adversarial purification...
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08/16/2023
Classification Committee for Active Deep Object Detection
In object detection, the cost of labeling is much high because it needs ...
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08/15/2023
An Interpretable Machine Learning Model with Deep Learning-based Imaging Biomarkers for Diagnosis of Alzheimer's Disease
Machine learning methods have shown large potential for the automatic ea...
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08/13/2023
Target before Shooting: Accurate Anomaly Detection and Localization under One Millisecond via Cascade Patch Retrieval
In this work, by re-examining the "matching" nature of Anomaly Detection...
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08/07/2023
LoRA-FA: Memory-efficient Low-rank Adaptation for Large Language Models Fine-tuning
The low-rank adaptation (LoRA) method can largely reduce the amount of t...
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08/04/2023
Eva: A General Vectorized Approximation Framework for Second-order Optimization
Second-order optimization algorithms exhibit excellent convergence prope...
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07/25/2023
Benchmarking and Analyzing Generative Data for Visual Recognition
Advancements in large pre-trained generative models have expanded their ...
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07/17/2023
Evaluating Climate Models with Sliced Elastic Distance
The validation of global climate models plays a crucial role in ensuring...
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07/05/2023
SoK: Privacy-Preserving Data Synthesis
As the prevalence of data analysis grows, safeguarding data privacy has ...
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07/03/2023
Mobility Behaviors Shift Disparity in Flood Exposure in U.S. Population Groups
Current characterization of flood exposure is largely based on residenti...
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07/03/2023
Structured Network Pruning by Measuring Filter-wise Interactions
Structured network pruning is a practical approach to reduce computation...
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07/02/2023
Query-Efficient Decision-based Black-Box Patch Attack
Deep neural networks (DNNs) have been showed to be highly vulnerable to ...
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06/28/2023
Learning to Pan-sharpening with Memories of Spatial Details
Pan-sharpening, as one of the most commonly used techniques in remote se...
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06/26/2023
FunQA: Towards Surprising Video Comprehension
Surprising videos, e.g., funny clips, creative performances, or visual i...
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06/23/2023
Synthetic data shuffling accelerates the convergence of federated learning under data heterogeneity
In federated learning, data heterogeneity is a critical challenge. A str...
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06/20/2023
DecodingTrust: A Comprehensive Assessment of Trustworthiness in GPT Models
Generative Pre-trained Transformer (GPT) models have exhibited exciting ...
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06/18/2023
Prior-knowledge-informed deep learning for lacune detection and quantification using multi-site brain MRI
Lacunes of presumed vascular origin, also referred to as lacunar infarct...
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06/18/2023
Deep learning-based group-wise registration for longitudinal MRI analysis in glioma
Glioma growth may be quantified with longitudinal image registration. Ho...
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06/15/2023
Evaluation and Optimization of Gradient Compression for Distributed Deep Learning
To accelerate distributed training, many gradient compression methods ha...
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06/10/2023
An Adaptive Hybrid Channel Reservation Medium Access Control Protocol for Differentiated QoS
In a densely deployed distributed wireless network, there may be various...
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06/08/2023
MIMIC-IT: Multi-Modal In-Context Instruction Tuning
High-quality instructions and responses are essential for the zero-shot ...
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06/07/2023
MultiSum: A Dataset for Multimodal Summarization and Thumbnail Generation of Videos
Multimodal summarization with multimodal output (MSMO) has emerged as a ...
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06/01/2023
How to Estimate Model Transferability of Pre-Trained Speech Models?
In this work, we introduce a “score-based assessment” framework for esti...
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05/30/2023
Competing for Shareable Arms in Multi-Player Multi-Armed Bandits
Competitions for shareable and limited resources have long been studied ...
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05/29/2023
UMD: Unsupervised Model Detection for X2X Backdoor Attacks
Backdoor (Trojan) attack is a common threat to deep neural networks, whe...
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05/25/2023
On the Tool Manipulation Capability of Open-source Large Language Models
Recent studies on software tool manipulation with large language models ...
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05/25/2023
Mixture-of-Expert Conformer for Streaming Multilingual ASR
End-to-end models with large capacity have significantly improved multil...
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05/24/2023
Reconstructive Neuron Pruning for Backdoor Defense
Deep neural networks (DNNs) have been found to be vulnerable to backdoor...
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05/20/2023
Can Public Large Language Models Help Private Cross-device Federated Learning?
We study (differentially) private federated learning (FL) of language mo...
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05/18/2023
Towards Generalizable Data Protection With Transferable Unlearnable Examples
Artificial Intelligence (AI) is making a profound impact in almost every...
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05/18/2023
Re-thinking Data Availablity Attacks Against Deep Neural Networks
The unauthorized use of personal data for commercial purposes and the cl...
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05/18/2023
Content-based Unrestricted Adversarial Attack
Unrestricted adversarial attacks typically manipulate the semantic conte...
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05/05/2023
Otter: A Multi-Modal Model with In-Context Instruction Tuning
Large language models (LLMs) have demonstrated significant universal cap...
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04/28/2023
An Adaptive Channel Reservation MAC Protocol Based on Forwarding Traffic of Key Nodes
Ad Hoc networks with multi-hop topology are widely used in military and ...
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04/23/2023
Evaluating ChatGPT's Information Extraction Capabilities: An Assessment of Performance, Explainability, Calibration, and Faithfulness
The capability of Large Language Models (LLMs) like ChatGPT to comprehen...
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04/14/2023
The Second Monocular Depth Estimation Challenge
This paper discusses the results for the second edition of the Monocular...
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04/13/2023
Shall We Pretrain Autoregressive Language Models with Retrieval? A Comprehensive Study
Large decoder-only language models (LMs) can be largely improved in term...
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04/11/2023
Conditional Adapters: Parameter-efficient Transfer Learning with Fast Inference
We propose Conditional Adapter (CoDA), a parameter-efficient transfer le...
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04/10/2023
Can SAM Segment Anything? When SAM Meets Camouflaged Object Detection
SAM is a segmentation model recently released by Meta AI Research and ha...
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04/04/2023
A method of combining traffic classification and traffic prediction based on machine learning in wireless networks
With the increasing number of service types of wireless network and the ...
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04/01/2023
Predictive Heterogeneity: Measures and Applications
As an intrinsic and fundamental property of big data, data heterogeneity...
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03/30/2023
Invertible Convolution with Symmetric Paddings
We show that symmetrically padded convolution can be analytically invert...
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03/21/2023
Efficient Decision-based Black-box Patch Attacks on Video Recognition
Although Deep Neural Networks (DNNs) have demonstrated excellent perform...
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03/14/2023
