Split (1)

train · 203k rows

node_id int64 0 76.9k	label int64 0 39	text stringlengths 13 124k	neighbors listlengths 0 3.32k	mask stringclasses 4 values
33,678	24	Title: Short-Term Aggregated Residential Load Forecasting using BiLSTM and CNN-BiLSTM Abstract: Higher penetration of renewable and smart home technologies at the residential level challenges grid stability as utility-customer interactions add complexity to power system operations. In response, short-term residential l...	[]	Validation
33,679	24	Title: LESS-VFL: Communication-Efficient Feature Selection for Vertical Federated Learning Abstract: We propose LESS-VFL, a communication-efficient feature selection method for distributed systems with vertically partitioned data. We consider a system of a server and several parties with local datasets that share a sam...	[ 5648 ]	Train
33,680	16	Title: Parameter is Not All You Need: Starting from Non-Parametric Networks for 3D Point Cloud Analysis Abstract: We present a Non-parametric Network for 3D point cloud analysis, Point-NN, which consists of purely non-learnable components: farthest point sampling (FPS), k-nearest neighbors (k-NN), and pooling operation...	[ 22561, 11815, 12712, 18183, 4362, 42679, 35826, 12339, 15541, 4919 ]	Train
33,681	24	Title: Diffusion Models in Bioinformatics: A New Wave of Deep Learning Revolution in Action Abstract: Denoising diffusion models have emerged as one of the most powerful generative models in recent years. They have achieved remarkable success in many fields, such as computer vision, natural language processing (NLP), a...	[ 1603, 8308 ]	Validation
33,682	16	Title: PSDNet: Determination of Particle Size Distributions Using Synthetic Soil Images and Convolutional Neural Networks Abstract: This project aimed to determine the grain size distribution of granular materials from images using convolutional neural networks. The application of ConvNet and pretrained ConvNet models,...	[ 28261 ]	Train
33,683	20	Title: Analysis of Dynamic Voronoi Diagrams in the Hilbert Metric Abstract: The Hilbert metric is a projective metric defined on a convex body which generalizes the Cayley-Klein model of hyperbolic geometry to any convex set. In this paper we analyze Hilbert Voronoi diagrams in the Dynamic setting. In addition we intro...	[ 41163 ]	Train
33,684	36	Title: Breaking Blockchain Rationality with Out-of-Band Collusion Abstract: Blockchain systems often rely on rationality assumptions for their security, expecting that nodes are motivated to maximize their profits. These systems thus design their protocols to incentivize nodes to execute the honest protocol but fail to...	[]	Train
33,685	24	Title: Application of machine learning to gas flaring Abstract: Currently in the petroleum industry, operators often flare the produced gas instead of commodifying it. The flaring magnitudes are large in some states, which constitute problems with energy waste and CO2 emissions. In North Dakota, operators are required ...	[]	Train
33,686	4	Title: Challenges with the Application of Cyber Security for Airworthiness (CSA) in Real-World Contexts Abstract: The ever increasing push towards reliance upon computerised technology in commercial, general, and military aerospace brings with it an increasing amount of potential cyber hazards and attacks. Consequently...	[]	Train
33,687	28	Title: Enhanced Sliding Window Superposition Coding for Industrial Automation Abstract: The introduction of 5G has changed the wireless communication industry. Whereas previous generations of cellular technology are mainly based on communication for people, the wireless industry is discovering that 5G may be an era of ...	[]	Validation
33,688	30	Title: EEL: Efficiently Encoding Lattices for Reranking Abstract: Standard decoding approaches for conditional text generation tasks typically search for an output hypothesis with high model probability, but this may not yield the best hypothesis according to human judgments of quality. Reranking to optimize for “downs...	[]	Train
33,689	4	Title: IoT Threat Detection Testbed Using Generative Adversarial Networks Abstract: The Internet of Things (IoT) paradigm provides persistent sensing and data collection capabilities and is becoming increasingly prevalent across many market sectors. However, most IoT devices emphasize usability and function over securi...	[]	Validation
33,690	27	Title: Robust Robot Planning for Human-Robot Collaboration Abstract: In human-robot collaboration, the objectives of the human are often unknown to the robot. Moreover, even assuming a known objective, the human behavior is also uncertain. In order to plan a robust robot behavior, a key preliminary question is then: Ho...	[]	Train
33,691	23	Title: Convert Monolithic Application to Microservice Application Abstract: Microservice architecture is a trending topic in software design architecture and many enterprises adopted microservice design due its benefits and the rapid and wide deployment of cloud computing and as a result, many enterprises transformed t...	[]	Test
33,692	16	Title: Neural architecture search using genetic algorithm for facial expression recognition Abstract: Facial expression is one of the most powerful, natural, and universal signals for human beings to express emotional states and intentions. Thus, it is evident the importance of correct and innovative facial expression ...	[]	Test
33,693	16	Title: Fast and Resource-Efficient Object Tracking on Edge Devices: A Measurement Study Abstract: Object tracking is an important functionality of edge video analytic systems and services. Multi-object tracking (MOT) detects the moving objects and tracks their locations frame by frame as real scenes are being captured ...	[ 3305, 39370 ]	Train
33,694	8	Title: Adaptive Distributed Filtering of DDoS Traffic on the Internet Abstract: Despite the proliferation of traffic filtering capabilities throughout the Internet, attackers continue to launch distributed denial-of-service (DDoS) attacks to successfully overwhelm the victims with DDoS traffic. In this paper, we introd...	[]	Train
33,695	10	Title: A Song of Ice and Fire: Analyzing Textual Autotelic Agents in ScienceWorld Abstract: Building open-ended agents that can autonomously discover a diversity of behaviours is one of the long-standing goals of artificial intelligence. This challenge can be studied in the framework of autotelic RL agents, i.e. agents...	[]	Validation
33,696	3	Title: BikeDNA: A Tool for Bicycle Infrastructure Data & Network Assessment Abstract: High-quality data on existing bicycle infrastructure are a requirement for evidence-based bicycle network planning, which supports a green transition of human mobility. However, this requirement is rarely met: Data from governmental a...	[]	Train
33,697	31	Title: Text Is All You Need: Learning Language Representations for Sequential Recommendation Abstract: Sequential recommendation aims to model dynamic user behavior from historical interactions. Existing methods rely on either explicit item IDs or general textual features for sequence modeling to understand user prefer...	[ 2881, 34466, 45481, 14282, 30764, 14349, 2994, 13682, 25334, 43000, 43801, 9917 ]	Test
33,698	1	Title: XGC-VQA: A Unified Video Quality Assessment Model for User, Professionally, and Occupationally-Generated Content Abstract: With the rapid growth of Internet video data amounts and types, a unified Video Quality Assessment (VQA) is needed to inspire video communication with perceptual quality. To meet the real-ti...	[]	Train
33,699	30	Title: ChatGPT and Simple Linguistic Inferences: Blind Spots and Blinds Abstract: This paper sheds light on the limitations of ChatGPT's understanding capabilities, focusing on simple inference tasks that are typically easy for humans but appear to be challenging for the model. Specifically, we target (i) grammatically...	[ 12128, 44419, 20228, 4071, 13224, 15049, 45608, 43979, 44173, 35824, 9586, 35580, 13278 ]	Train
33,700	16	Title: PRISTA-Net: Deep Iterative Shrinkage Thresholding Network for Coded Diffraction Patterns Phase Retrieval Abstract: The problem of phase retrieval (PR) involves recovering an unknown image from limited amplitude measurement data and is a challenge nonlinear inverse problem in computational imaging and image proce...	[ 26969 ]	Test
33,701	24	Title: A Convex Relaxation Approach to Bayesian Regret Minimization in Offline Bandits Abstract: Algorithms for offline bandits must optimize decisions in uncertain environments using only offline data. A compelling and increasingly popular objective in offline bandits is to learn a policy which achieves low Bayesian r...	[]	Test
33,702	16	Title: Video-SwinUNet: Spatio-temporal Deep Learning Framework for VFSS Instance Segmentation Abstract: This paper presents a deep learning framework for medical video segmentation. Convolution neural network (CNN) and transformer-based methods have achieved great milestones in medical image segmentation tasks due to t...	[]	Validation
33,703	4	Title: Stealthy Low-frequency Backdoor Attack against Deep Neural Networks Abstract: Deep neural networks (DNNs) have gain its popularity in various scenarios in recent years. However, its excellent ability of fitting complex functions also makes it vulnerable to backdoor attacks. Specifically, a backdoor can remain hi...	[]	Validation
33,704	24	Title: MEGA-DAgger: Imitation Learning with Multiple Imperfect Experts Abstract: Imitation learning has been widely applied to various autonomous systems thanks to recent development in interactive algorithms that address covariate shift and compounding errors induced by traditional approaches like behavior cloning. Ho...	[ 10254 ]	Train
33,705	24	Title: FLEX: an Adaptive Exploration Algorithm for Nonlinear Systems Abstract: Model-based reinforcement learning is a powerful tool, but collecting data to fit an accurate model of the system can be costly. Exploring an unknown environment in a sample-efficient manner is hence of great importance. However, the complex...	[]	Test
33,706	30	Title: A Technical Report for Polyglot-Ko: Open-Source Large-Scale Korean Language Models Abstract: Polyglot is a pioneering project aimed at enhancing the non-English language performance of multilingual language models. Despite the availability of various multilingual models such as mBERT (Devlin et al., 2019), XGLM ...	[ 29396, 13700, 29375 ]	Train
33,707	16	Title: MetaGCD: Learning to Continually Learn in Generalized Category Discovery Abstract: In this paper, we consider a real-world scenario where a model that is trained on pre-defined classes continually encounters unlabeled data that contains both known and novel classes. The goal is to continually discover novel clas...	[]	Validation
33,708	16	Title: Maturity-Aware Active Learning for Semantic Segmentation with Hierarchically-Adaptive Sample Assessment Abstract: Active Learning (AL) for semantic segmentation is challenging due to heavy class imbalance and different ways of defining"sample"(pixels, areas, etc.), leaving the interpretation of the data distribu...	[]	Validation
33,709	23	Title: On the Applicability of Explainable Artificial Intelligence for Software Requirement Analysis Abstract: The applications of Artificial Intelligence (AI) methods especially machine learning techniques have increased in recent years. Classification algorithms have been successfully applied to different problems su...	[]	Train
33,710	6	Title: Generating Visual Information for Motion Sickness Reduction Using a Computational Model Based on SVC Theory Abstract: With the advancements in automated driving, there is concern that motion sickness will increase as non-driving-related tasks increase. Therefore, techniques to reduce motion sickness have drawn m...	[]	Validation
33,711	16	Title: Video Pre-trained Transformer: A Multimodal Mixture of Pre-trained Experts Abstract: We present Video Pre-trained Transformer. VPT uses four SOTA encoder models from prior work to convert a video into a sequence of compact embeddings. Our backbone, based on a reference Flan-T5-11B architecture, learns a universa...	[]	Train
33,712	5	Title: Is RISC-V ready for HPC prime-time: Evaluating the 64-core Sophon SG2042 RISC-V CPU Abstract: The Sophon SG2042 is the world's first commodity 64-core RISC-V CPU for high performance workloads and an important question is whether the SG2042 has the potential to encourage the HPC community to embrace RISC-V. In t...	[ 1320, 15059, 10999 ]	Train
33,713	16	Title: Exact Diffusion Inversion via Bi-directional Integration Approximation Abstract: Recently, various methods have been proposed to address the inconsistency issue of DDIM inversion to enable image editing, such as EDICT [36] and Null-text inversion [22]. However, the above methods introduce considerable computatio...	[ 30638 ]	Train
33,714	24	Title: Improving Expressivity of Graph Neural Networks using Localization Abstract: In this paper, we propose localized versions of Weisfeiler-Leman (WL) algorithms in an effort to both increase the expressivity, as well as decrease the computational overhead. We focus on the specific problem of subgraph counting and g...	[ 43892 ]	Test
33,715	27	Title: Open-World Object Manipulation using Pre-trained Vision-Language Models Abstract: For robots to follow instructions from people, they must be able to connect the rich semantic information in human vocabulary, e.g."can you get me the pink stuffed whale?"to their sensory observations and actions. This brings up a ...	[ 13664, 3398, 40777, 28827, 28557, 29040, 16243, 8214, 21782, 41336, 7419 ]	Test
33,716	24	Title: FDAPT: Federated Domain-adaptive Pre-training for Language Models Abstract: Combining Domain-adaptive Pre-training (DAPT) with Federated Learning (FL) can enhance model adaptation by leveraging more sensitive and distributed data while preserving data privacy. However, few studies have focused on this method. Th...	[ 6942 ]	Train
33,717	30	Title: BERT-ERC: Fine-tuning BERT is Enough for Emotion Recognition in Conversation Abstract: Previous works on emotion recognition in conversation (ERC) follow a two-step paradigm, which can be summarized as first producing context-independent features via fine-tuning pretrained language models (PLMs) and then analyzi...	[]	Train
33,718	24	Title: Applied metamodelling for ATM performance simulations Abstract: The use of Air traffic management (ATM) simulators for planing and operations can be challenging due to their modelling complexity. This paper presents XALM (eXplainable Active Learning Metamodel), a three-step framework integrating active learning ...	[]	Train
33,719	33	Title: Isometric Words based on Swap and Mismatch Distance Abstract: The hypercube of dimension n is the graph whose vertices are the 2^n binary words of length n, and there is an edge between two of them if they have Hamming distance 1. We consider an edit distance based on swaps and mismatches, to which we refer as t...	[ 45668 ]	Train
33,720	8	Title: Coordinated Dynamic Spectrum Sharing Between Terrestrial and Non-Terrestrial Networks in 5G and Beyond Abstract: The emerging Non-Terrestrial Networks (NTNs) can aid to provide 5G and beyond services everywhere and anytime. However, the vast emergence of NTN systems will introduce an unseen interference to both ...	[]	Train
33,721	38	Title: Longitudinal Assessment of Reference Quality on Wikipedia Abstract: Wikipedia plays a crucial role in the integrity of the Web. This work analyzes the reliability of this global encyclopedia through the lens of its references. We operationalize the notion of reference quality by defining reference need (RN), i.e...	[ 3675 ]	Validation
33,722	16	Title: Efficient and Explicit Modelling of Image Hierarchies for Image Restoration Abstract: The aim of this paper is to propose a mechanism to efficiently and explicitly model image hierarchies in the global, regional, and local range for image restoration. To achieve that, we start by analyzing two important properti...	[ 45832, 6466, 26869 ]	Train
33,723	16	Title: Condition-Invariant Semantic Segmentation Abstract: Adaptation of semantic segmentation networks to different visual conditions from those for which ground-truth annotations are available at training is vital for robust perception in autonomous cars and robots. However, previous work has shown that most feature-...	[ 30829 ]	Train
33,724	16	Title: Towards Efficient Training with Negative Samples in Visual Tracking Abstract: Current state-of-the-art (SOTA) methods in visual object tracking often require extensive computational resources and vast amounts of training data, leading to a risk of overfitting. This study introduces a more efficient training stra...	[ 23570, 26484, 3951 ]	Train
33,725	24	Title: The Benefits of Mixup for Feature Learning Abstract: Mixup, a simple data augmentation method that randomly mixes two data points via linear interpolation, has been extensively applied in various deep learning applications to gain better generalization. However, the theoretical underpinnings of its efficacy are ...	[ 29162, 3147, 38309, 17959 ]	Test
33,726	8	Title: Open RAN: Evolution of Architecture, Deployment Aspects, and Future Directions Abstract: The Open Radio Access Network (Open RAN) aims to enable disaggregated, virtualized, programmable, and data-driven intelligent network with open interfaces to support various real-time and non-real-time applications for diffe...	[]	Train
33,727	24	Title: Federated Zeroth-Order Optimization using Trajectory-Informed Surrogate Gradients Abstract: Federated optimization, an emerging paradigm which finds wide real-world applications such as federated learning, enables multiple clients (e.g., edge devices) to collaboratively optimize a global function. The clients do...	[]	Train
33,728	6	Title: Value Reflection: Motivation, Examples and The Role of Technology Abstract: Findings from existing research provide possible evidence that values are an important construct that should be part of the self-reflection process. However, many questions about value reflection remain unexplored. As such, this position...	[ 12090 ]	Validation
33,729	10	Title: Cheap Talk Discovery and Utilization in Multi-Agent Reinforcement Learning Abstract: By enabling agents to communicate, recent cooperative multi-agent reinforcement learning (MARL) methods have demonstrated better task performance and more coordinated behavior. Most existing approaches facilitate inter-agent com...	[]	Train
33,730	16	Title: Automatic Number Plate Recognition Using Random Forest Classifier Abstract: nan	[]	Train
33,731	23	Title: Comparing Software Developers with ChatGPT: An Empirical Investigation Abstract: The advent of automation in particular Software Engineering (SE) tasks has transitioned from theory to reality. Numerous scholarly articles have documented the successful application of Artificial Intelligence to address issues in a...	[ 21313, 33220, 18411, 25227, 14799 ]	Validation
33,732	24	Title: Physics-informed neural networks for predicting gas flow dynamics and unknown parameters in diesel engines Abstract: nan	[ 25821 ]	Train
33,733	16	Title: Unsupervised Recognition of Unknown Objects for Open-World Object Detection Abstract: Open-World Object Detection (OWOD) extends object detection problem to a realistic and dynamic scenario, where a detection model is required to be capable of detecting both known and unknown objects and incrementally learning n...	[ 19400 ]	Train
33,734	23	Title: AI for Low-Code for AI Abstract: Low-code programming allows citizen developers to create programs with minimal coding effort, typically via visual (e.g. drag-and-drop) interfaces. In parallel, recent AI-powered tools such as Copilot and ChatGPT generate programs from natural language instructions. We argue that...	[]	Train
33,735	10	Title: Assessing Drivers' Situation Awareness in Semi-Autonomous Vehicles: ASP based Characterisations of Driving Dynamics for Modelling Scene Interpretation and Projection Abstract: Semi-autonomous driving, as it is already available today and will eventually become even more accessible, implies the need for driver an...	[]	Test
33,736	24	Title: When No-Rejection Learning is Optimal for Regression with Rejection Abstract: Learning with rejection is a prototypical model for studying the interaction between humans and AI on prediction tasks. The model has two components, a predictor and a rejector. Upon the arrival of a sample, the rejector first decides ...	[ 13035, 11414 ]	Train
33,737	39	Title: Bounded twin-width graphs are polynomially χ-bounded Abstract: We show that every graph with twin-width $t$ has chromatic number $O(\omega ^{k_t})$ for some integer $k_t$, where $\omega$ denotes the clique number. This extends a quasi-polynomial bound from Pilipczuk and Soko{\l}owski and generalizes a result for...	[]	Test
33,738	24	Title: Feedback is All You Need: Real-World Reinforcement Learning with Approximate Physics-Based Models Abstract: We focus on developing efficient and reliable policy optimization strategies for robot learning with real-world data. In recent years, policy gradient methods have emerged as a promising paradigm for train...	[]	Validation
33,739	20	Title: A Normalized Bottleneck Distance on Persistence Diagrams and Homology Preservation under Dimension Reduction Abstract: Persistence diagrams are used as signatures of point cloud data assumed to be sampled from manifolds, and represent their topology in a compact fashion. Further, two given clouds of points can b...	[]	Train
33,740	27	Title: Geometric Mechanics of Contact-Switching Systems Abstract: Discrete and periodic contact switching is a key characteristic of steady state legged locomotion. This paper introduces a framework for modeling and analyzing this contact-switching behavior through the framework of geometric mechanics on a toy robot mo...	[ 21979 ]	Train
33,741	10	Title: VR.net: A Real-world Dataset for Virtual Reality Motion Sickness Research Abstract: Researchers have used machine learning approaches to identify motion sickness in VR experience. These approaches demand an accurately-labeled, real-world, and diverse dataset for high accuracy and generalizability. As a starting ...	[]	Train
33,742	16	Title: Inherent Consistent Learning for Accurate Semi-supervised Medical Image Segmentation Abstract: Semi-supervised medical image segmentation has attracted much attention in recent years because of the high cost of medical image annotations. In this paper, we propose a novel Inherent Consistent Learning (ICL) method...	[]	Train
33,743	16	Title: Diagnosis of Scalp Disorders using Machine Learning and Deep Learning Approach - A Review Abstract: The morbidity of scalp diseases is minuscule compared to other diseases, but the impact on the patient's life is enormous. It is common for people to experience scalp problems that include Dandruff, Psoriasis, Tin...	[]	Validation
33,744	28	Title: Sub-Array Selection in Full-Duplex Massive MIMO for Enhanced Self-Interference Suppression Abstract: This study considers a novel full-duplex (FD) massive multiple-input multiple-output (mMIMO) system using hybrid beamforming (HBF) architecture, which allows for simultaneous uplink (UL) and downlink (DL) transmi...	[]	Train
33,745	4	Title: TeleBTC: Trustless Wrapped Bitcoin Abstract: This paper introduces TeleBTC, a fully decentralized protocol designed to wrap Bitcoin (BTC) on programmable blockchains. The creation of a decentralized wrapped BTC presents challenges due to the non-programmable nature of Bitcoin, making it difficult to custody BTCs...	[]	Test
33,746	16	Title: FastPillars: A Deployment-friendly Pillar-based 3D Detector Abstract: The deployment of 3D detectors strikes one of the major challenges in real-world self-driving scenarios. Existing BEV-based (i.e., Bird Eye View) detectors favor sparse convolution (known as SPConv) to speed up training and inference, which pu...	[]	Train
33,747	34	Title: New Bounds for Time-Dependent Scheduling with Uniform Deterioration Abstract: Time-dependent scheduling with linear deterioration involves determining when to execute jobs whose processing times degrade as their beginning is delayed. Each job i is associated with a release time r_i and a processing time function...	[]	Validation
33,748	24	Title: Model-Agnostic Reachability Analysis on Deep Neural Networks Abstract: Verification plays an essential role in the formal analysis of safety-critical systems. Most current verification methods have specific requirements when working on Deep Neural Networks (DNNs). They either target one particular network catego...	[ 19505, 28580 ]	Train
33,749	24	Title: Psychotherapy AI Companion with Reinforcement Learning Recommendations and Interpretable Policy Dynamics Abstract: We introduce a Reinforcement Learning Psychotherapy AI Companion that generates topic recommendations for therapists based on patient responses. The system uses Deep Reinforcement Learning (DRL) to ...	[ 41041, 40537, 21301 ]	Test
33,750	16	Title: Human Trajectory Forecasting with Explainable Behavioral Uncertainty Abstract: Human trajectory forecasting helps to understand and predict human behaviors, enabling applications from social robots to self-driving cars, and therefore has been heavily investigated. Most existing methods can be divided into model-...	[]	Validation
33,751	16	Title: GeCoNeRF: Few-shot Neural Radiance Fields via Geometric Consistency Abstract: We present a novel framework to regularize Neural Radiance Field (NeRF) in a few-shot setting with a geometry-aware consistency regularization. The proposed approach leverages a rendered depth map at unobserved viewpoint to warp sparse...	[ 23392, 26086, 8870, 11016, 18810 ]	Validation
33,752	24	Title: Efficient Detection of LLM-generated Texts with a Bayesian Surrogate Model Abstract: The detection of machine-generated text, especially from large language models (LLMs), is crucial in preventing serious social problems resulting from their misuse. Some methods train dedicated detectors on specific datasets but...	[ 43930, 38235, 13700 ]	Train
33,753	30	Title: LM-CPPF: Paraphrasing-Guided Data Augmentation for Contrastive Prompt-Based Few-Shot Fine-Tuning Abstract: In recent years, there has been significant progress in developing pre-trained language models for NLP. However, these models often struggle when fine-tuned on small datasets. To address this issue, researc...	[]	Train
33,754	30	Title: QICHWABASE: A Quechua Language and Knowledge Base for Quechua Communities Abstract: Over the last decade, the Web has increasingly become a space of language and knowledge representation. However, it is only true for well-spread languages and well-established communities, while minority communities and their res...	[]	Train
33,755	4	Title: Is Homomorphic Encryption Feasible for Smart Mobility? Abstract: Smart mobility is a promising approach to meet urban transport needs in an environmentally and and user-friendly way. Smart mobility computes itineraries with multiple means of transportation, e.g., trams, rental bikes or electric scooters, accordi...	[]	Train
33,756	27	Title: On the importance of patient acceptance for medical robotic imaging Abstract: nan	[ 7040 ]	Train
33,757	6	Title: Supporting Human-AI Collaboration in Auditing LLMs with LLMs Abstract: Large language models (LLMs) are increasingly becoming all-powerful and pervasive via deployment in sociotechnical systems. Yet these language models, be it for classification or generation, have been shown to be biased, behave irresponsibly,...	[ 45923, 43146, 1917, 20598, 16221 ]	Train
33,758	16	Title: MobileVidFactory: Automatic Diffusion-Based Social Media Video Generation for Mobile Devices from Text Abstract: Videos for mobile devices become the most popular access to share and acquire information recently. For the convenience of users' creation, in this paper, we present a system, namely MobileVidFactory,...	[ 25216, 23563, 7597, 21778, 33621 ]	Validation
33,759	4	Title: Deciphering the Blockchain: A Comprehensive Analysis of Bitcoin's Evolution, Adoption, and Future Implications Abstract: This research paper provides a comprehensive analysis of Bitcoin, delving into its evolution, adoption, and potential future implications. As the pioneering cryptocurrency, Bitcoin has sparked...	[]	Train
33,760	30	Title: Distilling Efficient Language-Specific Models for Cross-Lingual Transfer Abstract: Massively multilingual Transformers (MMTs), such as mBERT and XLM-R, are widely used for cross-lingual transfer learning. While these are pretrained to represent hundreds of languages, end users of NLP systems are often interested...	[ 32249 ]	Train
33,761	16	Title: You can have your ensemble and run it too -- Deep Ensembles Spread Over Time Abstract: Ensembles of independently trained deep neural networks yield uncertainty estimates that rival Bayesian networks in performance. They also offer sizable improvements in terms of predictive performance over single models. Howev...	[ 20183 ]	Train
33,762	16	Title: Rethinking Domain Generalization for Face Anti-spoofing: Separability and Alignment Abstract: This work studies the generalization issue of face anti-spoofing (FAS) models on domain gaps, such as image resolution, blurriness and sensor variations. Most prior works regard domain-specific signals as a negative imp...	[ 184 ]	Train
33,763	24	Title: DECODE: Data-driven Energy Consumption Prediction leveraging Historical Data and Environmental Factors in Buildings Abstract: Energy prediction in buildings plays a crucial role in effective energy management. Precise predictions are essential for achieving optimal energy consumption and distribution within the ...	[]	Validation
33,764	27	Title: Choosing the Correct Generalized Inverse for the Numerical Solution of the Inverse Kinematics of Incommensurate Robotic Manipulators Abstract: Numerical methods for Inverse Kinematics (IK) employ iterative, linear approximations of the IK until the end-effector is brought from its initial pose to the desired fin...	[ 3210 ]	Validation
33,765	16	Title: General vs. Long-Tailed Age Estimation: An Approach to Kill Two Birds with One Stone Abstract: Facial age estimation has received a lot of attention for its diverse application scenarios. Most existing studies treat each sample equally and aim to reduce the average estimation error for the entire dataset, which ...	[ 33523 ]	Train
33,766	16	Title: Few-shot 3D Shape Generation Abstract: Realistic and diverse 3D shape generation is helpful for a wide variety of applications such as virtual reality, gaming, and animation. Modern generative models, such as GANs and diffusion models, learn from large-scale datasets and generate new samples following similar da...	[ 25816, 43248, 43144, 34167 ]	Train
33,767	16	Title: Effective pseudo-labeling based on heatmap for unsupervised domain adaptation in cell detection Abstract: nan	[ 28603, 25709 ]	Test
33,768	16	Title: LATR: 3D Lane Detection from Monocular Images with Transformer Abstract: 3D lane detection from monocular images is a fundamental yet challenging task in autonomous driving. Recent advances primarily rely on structural 3D surrogates (e.g., bird's eye view) built from front-view image features and camera paramete...	[]	Test
33,769	16	Title: RGI: robust GAN-inversion for mask-free image inpainting and unsupervised pixel-wise anomaly detection Abstract: Generative adversarial networks (GANs), trained on a large-scale image dataset, can be a good approximator of the natural image manifold. GAN-inversion, using a pre-trained generator as a deep generat...	[]	Train
33,770	28	Title: A Low-Complexity Design for Rate-Splitting Multiple Access in Overloaded MIMO Networks Abstract: Rate-Splitting Multiple Access (RSMA) is a robust multiple access scheme for multi-antenna wireless networks. In this work, we study the performance of RSMA in downlink overloaded networks, where the number of transm...	[ 23589 ]	Train
33,771	24	Title: Adaptable and Interpretable Framework for Novelty Detection in Real-Time IoT Systems Abstract: This paper presents the Real-time Adaptive and Interpretable Detection (RAID) algorithm. The novel approach addresses the limitations of state-of-the-art anomaly detection methods for multivariate dynamic processes, wh...	[ 23705 ]	Train
33,772	6	Title: Simply tell me how - On Trustworthiness and Technology Acceptance of Attribute-Based Credentials Abstract: Attribute-based Credential Systems (ACS) have been long proposed as privacy-preserving means of attribute-based authentication, yet neither been considered particularly usable nor found wide-spread adoption...	[ 15368 ]	Train
33,773	23	Title: How Early Participation Determines Long-Term Sustained Activity in GitHub Projects? Abstract: Although the open source model bears many advantages in software development, open source projects are always hard to sustain. Previous research on open source sustainability mainly focuses on projects that have already...	[ 44400, 31654 ]	Test
33,774	16	Title: Spatio-Temporal Context Modeling for Road Obstacle Detection Abstract: nan	[]	Train
33,775	30	Title: Utilizing Social Media Attributes for Enhanced Keyword Detection: An IDF-LDA Model Applied to Sina Weibo Abstract: With the rapid development of social media such as Twitter and Weibo, detecting keywords from a huge volume of text data streams in real-time has become a critical problem. The keyword detection pro...	[]	Test
33,776	30	Title: Leveraging A Medical Knowledge Graph into Large Language Models for Diagnosis Prediction Abstract: Electronic Health Records (EHRs) and routine documentation practices play a vital role in patients' daily care, providing a holistic record of health, diagnoses, and treatment. However, complex and verbose EHR narr...	[ 18053, 43566, 31215 ]	Train
33,777	28	Title: Revealing the Impact of Beamforming in ISAC Abstract: This letter proposes advanced beamforming design and analyzes its influence on the sensing and communications (S&C) performance for a multiple-antenna integrated S&C (ISAC) system with a single communication user and a single target. Novel closed-form beamfor...	[ 24551 ]	Train

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