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09/19/2023
Task Graph offloading via Deep Reinforcement Learning in Mobile Edge Computing
Various mobile applications that comprise dependent tasks are gaining wi...
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09/13/2023
DEFormer: DCT-driven Enhancement Transformer for Low-light Image and Dark Vision
The goal of low-light image enhancement is to restore the color and deta...
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09/13/2023
Tackling the Non-IID Issue in Heterogeneous Federated Learning by Gradient Harmonization
Federated learning (FL) is a privacy-preserving paradigm for collaborati...
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09/12/2023
Fast Sparse PCA via Positive Semidefinite Projection for Unsupervised Feature Selection
In the field of unsupervised feature selection, sparse principal compone...
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09/06/2023
Knowledge Solver: Teaching LLMs to Search for Domain Knowledge from Knowledge Graphs
Large language models (LLMs), such as ChatGPT and GPT-4, are versatile a...
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09/04/2023
Frequentist Model Averaging for Global Fréchet Regression
To consider model uncertainty in global Fréchet regression and improve d...
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09/04/2023
Unified Pre-training with Pseudo Texts for Text-To-Image Person Re-identification
The pre-training task is indispensable for the text-to-image person re-i...
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08/30/2023
Optimizing Factual Accuracy in Text Generation through Dynamic Knowledge Selection
Language models (LMs) have revolutionized the way we interact with infor...
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08/24/2023
SkipcrossNets: Adaptive Skip-cross Fusion for Road Detection
Multi-modal fusion is increasingly being used for autonomous driving tas...
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07/31/2023
HAGRID: A Human-LLM Collaborative Dataset for Generative Information-Seeking with Attribution
The rise of large language models (LLMs) had a transformative impact on ...
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07/31/2023
Text-CRS: A Generalized Certified Robustness Framework against Textual Adversarial Attacks
The language models, especially the basic text classification models, ha...
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07/27/2023
Tactile Bodily Gaze Mapping Could Regulate Human Attention
Increasing individuals' awareness of their own body signals can lead to ...
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07/26/2023
Reinforced Potential Field for Multi-Robot Motion Planning in Cluttered Environments
Motion planning is challenging for multiple robots in cluttered environm...
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07/25/2023
Optical Flow boosts Unsupervised Localization and Segmentation
Unsupervised localization and segmentation are long-standing robot visio...
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07/17/2023
ROFusion: Efficient Object Detection using Hybrid Point-wise Radar-Optical Fusion
Radars, due to their robustness to adverse weather conditions and abilit...
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07/15/2023
Towards Optimal Neural Networks: the Role of Sample Splitting in Hyperparameter Selection
When artificial neural networks have demonstrated exceptional practical ...
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06/02/2023
GAIA Search: Hugging Face and Pyserini Interoperability for NLP Training Data Exploration
Noticing the urgent need to provide tools for fast and user-friendly qua...
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05/30/2023
Multi-source adversarial transfer learning for ultrasound image segmentation with limited similarity
Lesion segmentation of ultrasound medical images based on deep learning ...
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05/23/2023
Neural Image Re-Exposure
The shutter strategy applied to the photo-shooting process has a signifi...
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05/18/2023
Spectral Change Point Estimation for High Dimensional Time Series by Sparse Tensor Decomposition
We study the problem of change point (CP) detection with high dimensiona...
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05/17/2023
Optimal Weighted Random Forests
The random forest (RF) algorithm has become a very popular prediction me...
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05/14/2023
Path Planning for Air-Ground Robot Considering Modal Switching Point Optimization
An innovative sort of mobility platform that can both drive and fly is t...
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05/10/2023
Evaluating Embedding APIs for Information Retrieval
The ever-increasing size of language models curtails their widespread ac...
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05/03/2023
Zero-Shot Listwise Document Reranking with a Large Language Model
Supervised ranking methods based on bi-encoder or cross-encoder architec...
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04/23/2023
Informative Data Selection with Uncertainty for Multi-modal Object Detection
Noise has always been nonnegligible trouble in object detection by creat...
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04/15/2023
GPSMirror: Expanding Accurate GPS Positioning to Shadowed and Indoor Regions with Backscatter
Despite the prevalence of GPS services, they still suffer from intermitt...
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04/14/2023
Estimating Conditional Average Treatment Effects with Heteroscedasticity by Model Averaging and Matching
Causal inference is indispensable in many fields of empirical research, ...
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04/10/2023
WebBrain: Learning to Generate Factually Correct Articles for Queries by Grounding on Large Web Corpus
In this paper, we introduce a new NLP task – generating short factual ar...
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04/09/2023
Bionic Collapsible Wings in Aquatic-aerial Robot
The concept of aerial-aquatic robots has emerged as an innovative soluti...
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04/03/2023
Simple Yet Effective Neural Ranking and Reranking Baselines for Cross-Lingual Information Retrieval
The advent of multilingual language models has generated a resurgence of...
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03/23/2023
CMG-Net: An End-to-End Contact-Based Multi-Finger Dexterous Grasping Network
In this paper, we propose a novel representation for grasping using cont...
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03/15/2023
BEVHeight: A Robust Framework for Vision-based Roadside 3D Object Detection
While most recent autonomous driving system focuses on developing percep...
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03/03/2023
How To Guide Your Learner: Imitation Learning with Active Adaptive Expert Involvement
Imitation learning aims to mimic the behavior of experts without explici...
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02/28/2023
Spacerini: Plug-and-play Search Engines with Pyserini and Hugging Face
We present Spacerini, a modular framework for seamless building and depl...
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02/13/2023
Improving Out-of-Distribution Generalization of Neural Rerankers with Contextualized Late Interaction
Recent progress in information retrieval finds that embedding query and ...
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02/02/2023
Eloss in the way: A Sensitive Input Quality Metrics for Intelligent Driving
With the increasing complexity of the traffic environment, the importanc...
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01/15/2023
Modeling Human Cognition with a Hybrid Deep Reinforcement Learning Agent
Human cognition model could help us gain insights in how human cognition...
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01/03/2023
A Distributionally Robust Optimization Framework for Extreme Event Estimation
Conventional methods for extreme event estimation rely on well-chosen pa...
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12/26/2022
Biologically Inspired Design Concept Generation Using Generative Pre-Trained Transformers
Biological systems in nature have evolved for millions of years to adapt...
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12/19/2022
Rethinking Label Smoothing on Multi-hop Question Answering
Label smoothing is a regularization technique widely used in supervised ...
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12/18/2022
Pigeonhole Stochastic Gradient Langevin Dynamics for Large Crossed Mixed Effects Models
Large crossed mixed effects models with imbalanced structures and missin...
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11/22/2022
Asymptotic Properties of the Synthetic Control Method
This paper provides new insights into the asymptotic properties of the s...
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11/17/2022
CAE v2: Context Autoencoder with CLIP Target
Masked image modeling (MIM) learns visual representation by masking and ...
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11/10/2022
A classification performance evaluation measure considering data separability
Machine learning and deep learning classification models are data-driven...
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11/09/2022
3DFill:Reference-guided Image Inpainting by Self-supervised 3D Image Alignment
Most existing image inpainting algorithms are based on a single view, st...
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11/08/2022
Coupled Modeling and Fusion Control for a Multi-modal Deformable Land-air Robot
This paper introduces a structure-deformable land-air robot which posses...
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10/30/2022
A Multi-modal Deformable Land-air Robot for Complex Environments
Single locomotion robots often struggle to adapt in highly variable or u...
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10/27/2022
Dual Efficient Forecasting Framework for Time Series Data
Time series forecasting has been a quintessential problem in data scienc...
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10/11/2022
Better Than Whitespace: Information Retrieval for Languages without Custom Tokenizers
Tokenization is a crucial step in information retrieval, especially for ...
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09/14/2022