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
18,578	16	Title: Aerial-Ground Person Re-ID Abstract: Person re-ID matches persons across multiple non-overlapping cameras. Despite the increasing deployment of air-borne platforms in surveillance, current existing person re-ID benchmarks’ focus is on ground-ground matching and very limited efforts on aerial-aerial matching. We ...	[]	Test
18,579	25	Title: AAS-VC: On the Generalization Ability of Automatic Alignment Search based Non-autoregressive Sequence-to-sequence Voice Conversion Abstract: Non-autoregressive (non-AR) sequence-to-seqeunce (seq2seq) models for voice conversion (VC) is attractive in its ability to effectively model the temporal structure while e...	[]	Train
18,580	23	Title: How can feature usage be tracked across product variants? Implicit Feedback in Software Product Lines Abstract: Implicit feedback is collecting information about software usage to understand how and when the software is used. This research tackles implicit feedback in Software Product Lines (SPLs). The need for ...	[]	Test
18,581	24	Title: Set Learning for Accurate and Calibrated Models Abstract: Model overconfidence and poor calibration are common in machine learning and difficult to account for when applying standard empirical risk minimization. In this work, we propose a novel method to alleviate these problems that we call odd-$k$-out learning...	[ 44706, 34798 ]	Validation
18,582	24	Title: Impact of Feature Encoding on Malware Classification Explainability Abstract: This paper investigates the impact of feature encoding techniques on the explainability of XAI (Explainable Artificial Intelligence) algorithms. Using a malware classification dataset, we trained an XGBoost model and compared the perfo...	[]	Test
18,583	30	Title: Multitask Instruction-based Prompting for Fallacy Recognition Abstract: Fallacies are used as seemingly valid arguments to support a position and persuade the audience about its validity. Recognizing fallacies is an intrinsically difficult task both for humans and machines. Moreover, a big challenge for computat...	[ 31794, 44815 ]	Test
18,584	4	Title: This is How You Lose the Transient Execution War Abstract: A new class of vulnerabilities related to speculative and out-of-order execution, fault-injection, and microarchitectural side channels rose to attention in 2018. The techniques behind the transient execution vulnerabilities were not new, but the combine...	[ 28178, 36092 ]	Train
18,585	24	Title: LoopTune: Optimizing Tensor Computations with Reinforcement Learning Abstract: Advanced compiler technology is crucial for enabling machine learning applications to run on novel hardware, but traditional compilers fail to deliver performance, popular auto-tuners have long search times and expert-optimized librar...	[]	Train
18,586	16	Title: Training-free Style Transfer Emerges from h-space in Diffusion models Abstract: Diffusion models (DMs) synthesize high-quality images in various domains. However, controlling their generative process is still hazy because the intermediate variables in the process are not rigorously studied. Recently, StyleCLIP-l...	[ 36641, 23524, 16103, 7655, 18697, 34074, 44621, 6162, 20852, 41146, 23356 ]	Test
18,587	24	Title: On Tail Decay Rate Estimation of Loss Function Distributions Abstract: The study of loss function distributions is critical to characterize a model's behaviour on a given machine learning problem. For example, while the quality of a model is commonly determined by the average loss assessed on a testing set, this...	[]	Validation
18,588	16	Title: Do We Really Need a Large Number of Visual Prompts? Abstract: Due to increasing interest in adapting models on resource-constrained edges, parameter-efficient transfer learning has been widely explored. Among various methods, Visual Prompt Tuning (VPT), prepending learnable prompts to input space, shows competit...	[]	Train
18,589	25	Title: Research on an improved Conformer end-to-end Speech Recognition Model with R-Drop Structure Abstract: To address the issue of poor generalization ability in end-to-end speech recognition models within deep learning, this study proposes a new Conformer-based speech recognition model called"Conformer-R"that incorp...	[]	Train
18,590	27	Title: Teach Me How to Learn: A Perspective Review towards User-centered Neuro-symbolic Learning for Robotic Surgical Systems Abstract: Recent advances in machine learning models allowed robots to identify objects on a perceptual nonsymbolic level (e.g., through sensor fusion and natural language understanding). Howeve...	[ 17466 ]	Train
18,591	38	Title: Right HTML, Wrong JSON: Challenges in Replaying Archived Webpages Built with Client-Side Rendering Abstract: Many web sites are transitioning how they construct their pages. The conventional model is where the content is embedded server-side in the HTML and returned to the client in an HTTP response. Increasingl...	[ 26968 ]	Train
18,592	24	Title: Federated Gradient Matching Pursuit Abstract: Traditional machine learning techniques require centralizing all training data on one server or data hub. Due to the development of communication technologies and a huge amount of decentralized data on many clients, collaborative machine learning has become the main ...	[ 33148 ]	Validation
18,593	33	Title: Hypernode Automata Abstract: We introduce hypernode automata as a new specification formalism for hyperproperties of concurrent systems. They are finite automata with nodes labeled with hypernode logic formulas and transitions labeled with actions. A hypernode logic formula specifies relations between sequences ...	[ 38736 ]	Validation
18,594	10	Title: PushWorld: A benchmark for manipulation planning with tools and movable obstacles Abstract: While recent advances in artificial intelligence have achieved human-level performance in environments like Starcraft and Go, many physical reasoning tasks remain challenging for modern algorithms. To date, few algorithms...	[]	Train
18,595	24	Title: Surrogate Model Extension (SME): A Fast and Accurate Weight Update Attack on Federated Learning Abstract: In Federated Learning (FL) and many other distributed training frameworks, collaborators can hold their private data locally and only share the network weights trained with the local data after multiple iter...	[]	Validation
18,596	16	Title: DAM-Net: Global Flood Detection from SAR Imagery Using Differential Attention Metric-Based Vision Transformers Abstract: The detection of flooded areas using high-resolution synthetic aperture radar (SAR) imagery is a critical task with applications in crisis and disaster management, as well as environmental res...	[]	Train
18,597	3	Title: Exploring Programming Task Creation of Primary School Teachers in Training Abstract: Introducing computational thinking in primary school curricula implies that teachers have to prepare appropriate lesson material. Typically this includes creating programming tasks, which may overwhelm primary school teachers wi...	[]	Validation
18,598	33	Title: EnPAC: Petri Net Model Checking for Linear Temporal Logic Abstract: State generation and exploration (counterexample search) are two cores of explicit-state Petri net model checking for linear temporal logic (LTL). Traditional state generation updates a structure to reduce the computation of all transitions and ...	[]	Validation
18,599	16	Title: SlAction: Non-intrusive, Lightweight Obstructive Sleep Apnea Detection using Infrared Video Abstract: Obstructive sleep apnea (OSA) is a prevalent sleep disorder affecting approximately one billion people world-wide. The current gold standard for diagnosing OSA, Polysomnography (PSG), involves an overnight hospi...	[]	Validation
18,600	24	Title: AutoML-GPT: Large Language Model for AutoML Abstract: With the emerging trend of GPT models, we have established a framework called AutoML-GPT that integrates a comprehensive set of tools and libraries. This framework grants users access to a wide range of data preprocessing techniques, feature engineering metho...	[]	Train
18,601	23	Title: Demystifying Practices, Challenges and Expected Features of Using GitHub Copilot Abstract: With the advances in machine learning, there is a growing interest in AI-enabled tools for autocompleting source code. GitHub Copilot has been trained on billions of lines of open source GitHub code, and is one of such too...	[ 40436, 18349 ]	Train
18,602	4	Title: Publishing Wikipedia usage data with strong privacy guarantees Abstract: For almost 20 years, the Wikimedia Foundation has been publishing statistics about how many people visited each Wikipedia page on each day. This data helps Wikipedia editors determine where to focus their efforts to improve the online encyc...	[]	Test
18,603	16	Title: Industrial Anomaly Detection with Domain Shift: A Real-world Dataset and Masked Multi-scale Reconstruction Abstract: Industrial anomaly detection (IAD) is crucial for automating industrial quality inspection. The diversity of the datasets is the foundation for developing comprehensive IAD algorithms. Existing IA...	[ 24513, 21028 ]	Validation
18,604	29	Title: Empirical Investigation of Factors influencing Function as a Service Performance in Different Cloud/Edge System Setups Abstract: nan	[]	Train
18,605	16	Title: CERiL: Continuous Event-based Reinforcement Learning Abstract: This paper explores the potential of event cameras to enable continuous time reinforcement learning. We formalise this problem where a continuous stream of unsynchronised observations is used to produce a corresponding stream of output actions for th...	[]	Test
18,606	28	Title: Achievable Rate Analysis in Molecular Channels with Reset-Counting Fully Absorbing Receivers Abstract: In this paper, we investigate the achievable rate of a diffusive Molecular Communication (MC) channel with fully absorbing receiver, which counts particles absorbed along each symbol interval and resets the cou...	[]	Train
18,607	30	Title: Improving Open Language Models by Learning from Organic Interactions Abstract: We present BlenderBot 3x, an update on the conversational model BlenderBot 3, which is now trained using organic conversation and feedback data from participating users of the system in order to improve both its skills and safety. We ...	[ 41122, 33220, 13700, 21483, 44173, 35580 ]	Validation
18,608	4	Title: An Efficient Authentication Protocol for Smart Grid Communication Based on On-Chip-Error-Correcting Physical Unclonable Function Abstract: Security has become a main concern for the smart grid to move from research and development to industry. The concept of security has usually referred to resistance to threats...	[]	Validation
18,609	36	Title: The Complexity of Fair Division of Indivisible Items with Externalities Abstract: We study the computational complexity of fairly allocating a set of indivisible items under externalities. In this recently-proposed setting, in addition to the utility the agent gets from their bundle, they also receive utility fr...	[ 36441, 7348 ]	Train
18,610	31	Title: AutoDenoise: Automatic Data Instance Denoising for Recommendations Abstract: Historical user-item interaction datasets are essential in training modern recommender systems for predicting user preferences. However, the arbitrary user behaviors in most recommendation scenarios lead to a large volume of noisy data ...	[]	Train
18,611	6	Title: How are the people in the photos judged? Analysis of brain activity when assessing levels of trust and attractiveness Abstract: Trust is the foundation of every area of life. Without it, it is difficult to build lasting relationships. Unfortunately, in recent years, trust has been severely damaged by the spread ...	[]	Train
18,612	24	Title: SAGC-A68: a space access graph dataset for the classification of spaces and space elements in apartment buildings Abstract: The analysis of building models for usable area, building safety, and energy use requires accurate classification data of spaces and space elements. To reduce input model preparation effort...	[]	Train
18,613	31	Title: Mem-Rec: Memory Efficient Recommendation System using Alternative Representation Abstract: Deep learning-based recommendation systems (e.g., DLRMs) are widely used AI models to provide high-quality personalized recommendations. Training data used for modern recommendation systems commonly includes categorical fe...	[]	Test
18,614	16	Title: Semi-Supervised and Long-Tailed Object Detection with CascadeMatch Abstract: nan	[ 19400, 36810 ]	Test
18,615	24	Title: Generative Diffusion Models on Graphs: Methods and Applications Abstract: Diffusion models, as a novel generative paradigm, have achieved remarkable success in various image generation tasks such as image inpainting, image-to-text translation, and video generation. Graph generation is a crucial computational tas...	[ 4610, 1603, 26279, 2826, 429, 45455, 34000, 8308, 43605, 14047 ]	Train
18,616	6	Title: Teachable Reality: Prototyping Tangible Augmented Reality with Everyday Objects by Leveraging Interactive Machine Teaching Abstract: This paper introduces Teachable Reality, an augmented reality (AR) prototyping tool for creating interactive tangible AR applications with arbitrary everyday objects. Teachable Rea...	[ 16969, 42829, 42590 ]	Train
18,617	16	Title: Hard-aware Instance Adaptive Self-training for Unsupervised Cross-domain Semantic Segmentation Abstract: The divergence between labeled training data and unlabeled testing data is a significant challenge for recent deep learning models. Unsupervised domain adaptation (UDA) attempts to solve such problem. Recent ...	[]	Validation
18,618	24	Title: Can Copyright be Reduced to Privacy? Abstract: There is an increasing concern that generative AI models may produce outputs that are remarkably similar to the copyrighted input content on which they are trained. This worry has escalated as the quality and complexity of generative models have immensely improved, ...	[ 45104, 2855 ]	Train
18,619	24	Title: Application of Deep Learning Methods in Monitoring and Optimization of Electric Power Systems Abstract: This PhD thesis thoroughly examines the utilization of deep learning techniques as a means to advance the algorithms employed in the monitoring and optimization of electric power systems. The first major contr...	[]	Validation
18,620	4	Title: A Lightweight Approach for Network Intrusion Detection based on Self-Knowledge Distillation Abstract: Network Intrusion Detection (NID) works as a kernel technology for the security network environment, obtaining extensive research and application. Despite enormous efforts by researchers, NID still faces challen...	[]	Validation
18,621	16	Title: The All-Seeing Project: Towards Panoptic Visual Recognition and Understanding of the Open World Abstract: We present the All-Seeing (AS) project: a large-scale data and model for recognizing and understanding everything in the open world. Using a scalable data engine that incorporates human feedback and efficien...	[ 10624, 13700, 37765, 41104, 27282, 18459, 42270, 20001, 30243, 25892, 10538, 1581, 39733, 27454, 1854, 33220, 33104, 11614, 37987, 1900, 20588, 13935, 45685, 381 ]	Test
18,622	24	Title: Integrating Psychometrics and Computing Perspectives on Bias and Fairness in Affective Computing: A case study of automated video interviews Abstract: We provide a psychometric-grounded exposition of bias and fairness as applied to a typical machine learning (ML) pipeline for affective computing (AC). We expand ...	[ 19349 ]	Train
18,623	24	Title: Private Aggregation in Wireless Federated Learning with Heterogeneous Clusters Abstract: Federated learning collaboratively trains a neural network on privately owned data held by several participating clients. The gradient descent algorithm, a well-known and popular iterative optimization procedure, is run to t...	[]	Train
18,624	24	Title: LINFA: a Python library for variational inference with normalizing flow and annealing Abstract: Variational inference is an increasingly popular method in statistics and machine learning for approximating probability distributions. We developed LINFA (Library for Inference with Normalizing Flow and Annealing), a...	[]	Test
18,625	16	Title: Multi-modal Gated Mixture of Local-to-Global Experts for Dynamic Image Fusion Abstract: Infrared and visible image fusion aims to integrate comprehensive information from multiple sources to achieve superior performances on various practical tasks, such as detection, over that of a single modality. However, most...	[]	Train
18,626	7	Title: Benchmark Solutions for Radiative Transfer with a Moving Mesh and Exact Uncollided Source Treatments Abstract: Abstract The set of benchmark solutions used in the thermal radiative transfer community suffers some coverage gaps, in particular, nonlinear, nonequilibrium problems. Also, there are no nonequilibrium,...	[]	Train
18,627	31	Title: Form 10-K Itemization Abstract: Form 10-K report is a financial report disclosing the annual financial state of a public company. It is an important evidence to conduct financial analysis, i.e., asset pricing, corporate finance. Practitioners and researchers are constantly designing algorithms to better conduct ...	[]	Train
18,628	5	Title: MoCA: Memory-Centric, Adaptive Execution for Multi-Tenant Deep Neural Networks Abstract: Driven by the wide adoption of deep neural networks (DNNs) across different application domains, multi-tenancy execution, where multiple DNNs are deployed simultaneously on the same hardware, has been proposed to satisfy the...	[ 25972 ]	Train
18,629	2	Title: Towards a Formal Verification of the Lightning Network with TLA+ Abstract: Payment channel networks are an approach to improve the scalability of blockchain-based cryptocurrencies. Because payment channel networks are used for transfer of financial value, their security in the presence of adversarial participant...	[]	Test
18,630	24	Title: Generalization in Visual Reinforcement Learning with the Reward Sequence Distribution Abstract: Generalization in partially observed markov decision processes (POMDPs) is critical for successful applications of visual reinforcement learning (VRL) in real scenarios. A widely used idea is to learn task-relevant re...	[]	Train
18,631	24	Title: Stochastic Subgraph Neighborhood Pooling for Subgraph Classification Abstract: Subgraph classification is an emerging field in graph representation learning where the task is to classify a group of nodes (i.e., a subgraph) within a graph. Subgraph classification has applications such as predicting the cellular f...	[ 21389 ]	Validation
18,632	16	Title: Factor Fields: A Unified Framework for Neural Fields and Beyond Abstract: We present Factor Fields, a novel framework for modeling and representing signals. Factor Fields decomposes a signal into a product of factors, each represented by a classical or neural field representation which operates on transformed in...	[ 27424, 41282, 39587, 34822, 21771, 31563, 4143, 30095, 33423, 10810, 9565, 34238 ]	Test
18,633	11	Title: Coordinated Multi-Agent Reinforcement Learning for Unmanned Aerial Vehicle Swarms in Autonomous Mobile Access Applications Abstract: This paper proposes a novel centralized training and distributed execution (CTDE)-based multi-agent deep reinforcement learning (MADRL) method for multiple unmanned aerial vehicles...	[]	Validation
18,634	24	Title: SPADE: Self-supervised Pretraining for Acoustic DisEntanglement Abstract: Self-supervised representation learning approaches have grown in popularity due to the ability to train models on large amounts of unlabeled data and have demonstrated success in diverse fields such as natural language processing, computer...	[]	Validation
18,635	31	Title: Soft Prompt Tuning for Augmenting Dense Retrieval with Large Language Models Abstract: Dense retrieval (DR) converts queries and documents into dense embeddings and measures the similarity between queries and documents in vector space. One of the challenges in DR is the lack of domain-specific training data. Whi...	[ 13700, 39, 397, 23629, 2801, 7954, 1909, 7866 ]	Train
18,636	5	Title: Analyzing the Performance Portability of Tensor Decomposition Abstract: We employ pressure point analysis and roofline modeling to identify performance bottlenecks and determine an upper bound on the performance of the Canonical Polyadic Alternating Poisson Regression Multiplicative Update (CP-APR MU) algorithm ...	[]	Train
18,637	28	Title: For One-Shot Decoding: Self-supervised Deep Learning-Based Polar Decoder Abstract: We propose a self-supervised deep learning-based decoding scheme that enables one-shot decoding of polar codes. In the proposed scheme, rather than using the information bit vectors as labels for training the neural network (NN) t...	[]	Train
18,638	3	Title: Shall androids dream of genocides? How generative AI can change the future of memorialization of mass atrocities Abstract: nan	[ 41122, 25125, 27945, 36751, 35824, 45104, 39642, 22334 ]	Train
18,639	10	Title: Introduction and Assessment of the Addition of Links and Containers to the Blackboard Architecture Abstract: The Blackboard Architecture provides a mechanism for storing data and logic and using it to make decisions that impact the application environment that the Blackboard Architecture network models. While ru...	[]	Train
18,640	30	Title: Design Choices for Crowdsourcing Implicit Discourse Relations: Revealing the Biases Introduced by Task Design Abstract: Abstract Disagreement in natural language annotation has mostly been studied from a perspective of biases introduced by the annotators and the annotation frameworks. Here, we propose to analyze...	[]	Validation
18,641	31	Title: Methodologies for Improving Modern Industrial Recommender Systems Abstract: Recommender system (RS) is an established technology with successful applications in social media, e-commerce, entertainment, and more. RSs are indeed key to the success of many popular APPs, such as YouTube, Tik Tok, Xiaohongshu, Bilibi...	[ 40743 ]	Validation
18,642	25	Title: Parameterizable Acoustical Modeling and Auralization of Cultural Heritage Sites based on Photogrammetry Abstract: The photogrammetric and reconstructive modeling of cultural heritage sites is mostly focused on visually perceivable aspects, but if their intended purpose is the performance of cultural acts with a ...	[]	Validation
18,643	30	Title: Interactive Natural Language Processing Abstract: Interactive Natural Language Processing (iNLP) has emerged as a novel paradigm within the field of NLP, aimed at addressing limitations in existing frameworks while aligning with the ultimate goals of artificial intelligence. This paradigm considers language mode...	[ 14240, 14281, 1611, 10672, 18227, 41336 ]	Train
18,644	24	Title: Learning Symbolic Representations for Reinforcement Learning of Non-Markovian Behavior Abstract: Many real-world reinforcement learning (RL) problems necessitate learning complex, temporally extended behavior that may only receive reward signal when the behavior is completed. If the reward-worthy behavior is kno...	[ 38703 ]	Train
18,645	34	Title: Streaming Semidefinite Programs: O(√n) Passes, Small Space and Fast Runtime Abstract: We study the problem of solving semidefinite programs (SDP) in the streaming model. Specifically, $m$ constraint matrices and a target matrix $C$, all of size $n\times n$ together with a vector $b\in \mathbb{R}^m$ are streamed ...	[ 472, 29739, 2694, 12607 ]	Validation
18,646	4	Title: An extension of Overbeck's attack with an application to cryptanalysis of Twisted Gabidulin-based schemes Abstract: In this article, we discuss the decoding of Gabidulin and related codes from a cryptographic point of view, and we observe that these codes can be decoded solely from the knowledge of a generator m...	[]	Train
18,647	16	Title: Sample-Efficient Learning of Novel Visual Concepts Abstract: Despite the advances made in visual object recognition, state-of-the-art deep learning models struggle to effectively recognize novel objects in a few-shot setting where only a limited number of examples are provided. Unlike humans who excel at such ta...	[ 13672, 35624, 33220, 41104 ]	Train
18,648	28	Title: Rank Generalized Subsapce subcode Abstract: . Rank metric codes were study by E. Gabidulin in 1985 after a brief introduction by Delaste in 1978 as an alternative to Reed-Solomon codes based on linear polynomials. They have found applications in many area including linear network coding and space-time coding. Th...	[]	Test
18,649	10	Title: Artificial Intelligence can facilitate selfish decisions by altering the appearance of interaction partners Abstract: The increasing prevalence of image-altering filters on social media and video conferencing technologies has raised concerns about the ethical and psychological implications of using Artificial In...	[]	Train
18,650	31	Title: Discovery and recognition of formula concepts using machine learning Abstract: nan	[]	Train
18,651	27	Title: Adaptive Failure Search Using Critical States from Domain Experts Abstract: Uncovering potential failure cases is a crucial step in the validation of safety critical systems such as autonomous vehicles. Failure search may be done through logging substantial vehicle miles in either simulation or real world testin...	[]	Validation
18,652	26	Title: On Performance Discrepancies Across Local Homophily Levels in Graph Neural Networks Abstract: Graph Neural Network (GNN) research has highlighted a relationship between high homophily (i.e., the tendency of nodes of the same class to connect) and strong predictive performance in node classification. However, rec...	[ 14797 ]	Validation
18,653	34	Title: Improved Analysis of two Algorithms for Min-Weighted Sum Bin Packing Abstract: We study the Min-Weighted Sum Bin Packing problem, a variant of the classical Bin Packing problem in which items have a weight, and each item induces a cost equal to its weight multiplied by the index of the bin in which it is packed....	[]	Test
18,654	24	Title: Contextual Conservative Q-Learning for Offline Reinforcement Learning Abstract: Offline reinforcement learning learns an effective policy on offline datasets without online interaction, and it attracts persistent research attention due to its potential of practical application. However, extrapolation error gener...	[]	Validation
18,655	4	Title: Exploratory analysis of a measurement scale of an information security management system Abstract: This research shows the analysis of multiple factors that inhibit the implementation of an Information Security Management System (ISMS). The research data were collected from 143 respondents from two universities ...	[]	Train
18,656	24	Title: A Framework for History-Aware Hyperparameter Optimisation in Reinforcement Learning Abstract: A Reinforcement Learning (RL) system depends on a set of initial conditions (hyperparameters) that affect the system's performance. However, defining a good choice of hyperparameters is a challenging problem. Hyperparam...	[]	Train
18,657	20	Title: On the Line-Separable Unit-Disk Coverage and Related Problems Abstract: Given a set $P$ of $n$ points and a set $S$ of $m$ disks in the plane, the disk coverage problem asks for a smallest subset of disks that together cover all points of $P$. The problem is NP-hard. In this paper, we consider a line-separable u...	[]	Train
18,658	16	Title: MIMIC: Masked Image Modeling with Image Correspondences Abstract: Many pixelwise dense prediction tasks-depth estimation and semantic segmentation in computer vision today rely on pretrained image representations. Therefore, curating effective pretraining datasets is vital. Unfortunately, the effective pretraini...	[]	Test
18,659	10	Title: Computational Models of Solving Raven's Progressive Matrices: A Comprehensive Introduction Abstract: As being widely used to measure human intelligence, Raven's Progressive Matrices (RPM) tests also pose a great challenge for AI systems. There is a long line of computational models for solving RPM, starting from...	[]	Validation
18,660	24	Title: BenchTemp: A General Benchmark for Evaluating Temporal Graph Neural Networks Abstract: To handle graphs in which features or connectivities are evolving over time, a series of temporal graph neural networks (TGNNs) have been proposed. Despite the success of these TGNNs, the previous TGNN evaluations reveal sever...	[ 15836 ]	Train
18,661	4	Title: Synchro: Block-generation Protocol to Synchronously Process Cross-shard Transactions in State Sharding Abstract: Traditional blockchains cannot achieve the same transaction throughput as Web2, so their use cases are limited. Therefore, state sharding has been proposed to improve transaction throughput by dividin...	[]	Test
18,662	2	Title: The physical Church thesis and the sensitivity to initial conditions Abstract: The physical Church thesis is a thesis about nature that expresses that all that can be computed by a physical system-a machine-is computable in the sense of computability theory. At a first look, this thesis seems contradictory with ...	[]	Validation
18,663	31	Title: Exploring the Spatiotemporal Features of Online Food Recommendation Service Abstract: Online Food Recommendation Service (OFRS) has remarkable spatiotemporal characteristics and the advantage of being able to conveniently satisfy users' needs in a timely manner. There have been a variety of studies that have beg...	[]	Test
18,664	24	Title: AIOSA: An approach to the automatic identification of obstructive sleep apnea events based on deep learning Abstract: nan	[]	Train
18,665	16	Title: Food Classification using Joint Representation of Visual and Textual Data Abstract: Food classification is an important task in health care. In this work, we propose a multimodal classification framework that uses the modified version of EfficientNet with the Mish activation function for image classification, an...	[]	Train
18,666	31	Title: Efficient and Accurate Tree Detection from 3D Point Clouds through Paid Crowdsourcing Abstract: Accurate tree detection is of growing importance in applications such as urban planning, forest inventory, and environmental monitoring. In this article, we present an approach to creating tree maps by annotating them...	[]	Validation
18,667	27	Title: Distributed Hierarchical Distribution Control for Very-Large-Scale Clustered Multi-Agent Systems Abstract: As the scale and complexity of multi-agent robotic systems are subject to a continuous increase, this paper considers a class of systems labeled as Very-Large-Scale Multi-Agent Systems (VLMAS) with dimensio...	[]	Validation
18,668	28	Title: The Method of Types for the AWGN Channel Abstract: For the discrete-time AWGN channel with a power constraint, we give an alternative derivation of Shannon's sphere-packing upper bound on the optimal block error exponent and prove for the first time an analogous lower bound on the optimal correct-decoding expone...	[ 24650 ]	Train
18,669	27	Title: DRL-Based Trajectory Tracking for Motion-Related Modules in Autonomous Driving Abstract: Autonomous driving systems are always built on motion-related modules such as the planner and the controller. An accurate and robust trajectory tracking method is indispensable for these motion-related modules as a primitive...	[]	Train
18,670	24	Title: AutoQNN: An End-to-End Framework for Automatically Quantizing Neural Networks Abstract: nan	[]	Test
18,671	15	Title: Quark: An Integer RISC-V Vector Processor for Sub-Byte Quantized DNN Inference Abstract: In this paper, we present Quark, an integer RISC-V vector processor specifically tailored for sub-byte DNN inference. Quark is implemented in GlobalFoundries' 22FDX FD-SOI technology. It is designed on top of Ara, an open-so...	[ 5272, 1349 ]	Validation
18,672	4	Title: CoSec-RPL: detection of copycat attacks in RPL based 6LoWPANs using outlier analysis Abstract: nan	[ 43362, 34582 ]	Train
18,673	24	Title: A Bandit Approach to Online Pricing for Heterogeneous Edge Resource Allocation Abstract: Edge Computing (EC) offers a superior user experience by positioning cloud resources in close proximity to end users. The challenge of allocating edge resources efficiently while maximizing profit for the EC platform remains...	[]	Validation
18,674	6	Title: A Virtual Reality Game to Improve Physical and Cognitive Acuity Abstract: We present the Virtual Human Benchmark (VHB) game to evaluate and improve physical and cognitive acuity. VHB simulates in 3D the BATAK lightboard game, which is designed to improve physical reaction and hand-eye coordination, on the \texti...	[]	Test
18,675	23	Title: Automatic Unit Test Generation for Deep Learning Frameworks based on API Knowledge Abstract: Many automatic unit test generation tools that can generate unit test cases with high coverage over a program have been proposed. However, most of these tools are ineffective on deep learning (DL) frameworks due to the f...	[]	Train
18,676	16	Title: LinK: Linear Kernel for LiDAR-based 3D Perception Abstract: Extending the success of 2D Large Kernel to 3D perception is challenging due to: 1. the cubically-increasing overhead in processing 3D data; 2. the optimization difficulties from data scarcity and sparsity. Previous work has taken the first step to scal...	[ 41765 ]	Test
18,677	30	Title: MTCue: Learning Zero-Shot Control of Extra-Textual Attributes by Leveraging Unstructured Context in Neural Machine Translation Abstract: Efficient utilisation of both intra- and extra-textual context remains one of the critical gaps between machine and human translation. Existing research has primarily focused o...	[ 22984 ]	Train

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