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
30,478	8	Title: Dangerously Driven Cars Need to Go First Abstract: We propose that dangerously driven vehicles take a higher priority in multiple access for vehicle-to-everything communications (V2X). As more vehicles communicate, it is one's easy anticipation that the air interface will be crowded and thus a high magnitude of ...	[ 12726 ]	Train
30,479	4	Title: Automatic Scam-Baiting Using ChatGPT Abstract: Automatic scam-baiting is an online fraud countermeasure that involves automated systems responding to online fraudsters in order to waste their time and deplete their resources, diverting attackers away from real potential victims. Previous work has demonstrated th...	[ 12128, 7585, 43930 ]	Test
30,480	16	Title: ProxyFormer: Proxy Alignment Assisted Point Cloud Completion with Missing Part Sensitive Transformer Abstract: Problems such as equipment defects or limited view-points will lead the captured point clouds to be incomplete. Therefore, recovering the complete point clouds from the partial ones plays an vital role ...	[ 12190 ]	Train
30,481	16	Title: TranSG: Transformer-Based Skeleton Graph Prototype Contrastive Learning with Structure-Trajectory Prompted Reconstruction for Person Re-Identification Abstract: Person re-identification (re-ID) via 3D skeleton data is an emerging topic with prominent advantages. Existing methods usually design skeleton descripto...	[ 3988 ]	Train
30,482	34	Title: On the Parameterized Complexity of Computing st-Orientations with Few Transitive Edges Abstract: Orienting the edges of an undirected graph such that the resulting digraph satisfies some given constraints is a classical problem in graph theory, with multiple algorithmic applications. In particular, an $st$-orien...	[]	Test
30,483	24	Title: Formulation of Weighted Average Smoothing as a Projection of the Origin onto a Convex Polytope Abstract: Our study focuses on determining the best weight windows for a weighted moving average smoother under squared loss. We show that there exists an optimal weight window that is symmetrical around its center. We...	[]	Test
30,484	24	Title: Learning Differentiable Logic Programs for Abstract Visual Reasoning Abstract: Visual reasoning is essential for building intelligent agents that understand the world and perform problem-solving beyond perception. Differentiable forward reasoning has been developed to integrate reasoning with gradient-based mach...	[ 37271 ]	Train
30,485	24	Title: Adaptive incentive for cross-silo federated learning: A multi-agent reinforcement learning approach Abstract: Cross-silo federated learning (FL) is a typical FL that enables organizations(e.g., financial or medical entities) to train global models on isolated data. Reasonable incentive is key to encouraging orga...	[]	Train
30,486	23	Title: Dealing with Popularity Bias in Recommender Systems for Third-party Libraries: How far Are We? Abstract: Recommender systems for software engineering (RSSEs) assist software engineers in dealing with a growing information overload when discerning alternative development solutions. While RSSEs are becoming more a...	[]	Train
30,487	34	Title: MMS Allocations of Chores with Connectivity Constraints: New Methods and New Results Abstract: We study the problem of allocating indivisible chores to agents under the Maximin share (MMS) fairness notion. The chores are embedded on a graph and each bundle of chores assigned to an agent should be connected. Alth...	[]	Train
30,488	24	Title: Generalization Across Observation Shifts in Reinforcement Learning Abstract: Learning policies which are robust to changes in the environment are critical for real world deployment of Reinforcement Learning agents. They are also necessary for achieving good generalization across environment shifts. We focus on b...	[]	Test
30,489	16	Title: SOOD: Towards Semi-Supervised Oriented Object Detection Abstract: Semi-Supervised Object Detection (SSOD), aiming to explore unlabeled data for boosting object detectors, has become an active task in recent years. However, existing SSOD approaches mainly focus on horizontal objects, leaving multi-oriented object...	[ 21197 ]	Validation
30,490	10	Title: Causal Strategic Learning with Competitive Selection Abstract: We study the problem of agent selection in causal strategic learning under multiple decision makers and address two key challenges that come with it. Firstly, while much of prior work focuses on studying a fixed pool of agents that remains static reg...	[]	Train
30,491	11	Title: Multi-agent Exploration with Sub-state Entropy Estimation Abstract: Researchers have integrated exploration techniques into multi-agent reinforcement learning (MARL) algorithms, drawing on their remarkable success in deep reinforcement learning. Nonetheless, exploration in MARL presents a more substantial challe...	[ 38680 ]	Train
30,492	30	Title: A Hierarchical Encoding-Decoding Scheme for Abstractive Multi-document Summarization Abstract: Pre-trained language models (PLMs) have accomplished impressive achievements in abstractive single-document summarization (SDS). However, such benefits may not be readily extended to muti-document summarization (MDS), ...	[ 2234 ]	Validation
30,493	28	Title: Graph Matching in Correlated Stochastic Block Models for Improved Graph Clustering Abstract: We consider community detection from multiple correlated graphs sharing the same community structure. The correlated graphs are generated by independent subsampling of a parent graph sampled from the stochastic block mod...	[ 24533 ]	Validation
30,494	30	Title: Multiple output samples for each input in a single-output Gaussian process Abstract: The standard Gaussian Process (GP) only considers a single output sample per input in the training set. Datasets for subjective tasks, such as spoken language assessment, may be annotated with output labels from multiple human r...	[]	Validation
30,495	24	Title: A Critical Review of Physics-Informed Machine Learning Applications in Subsurface Energy Systems Abstract: Machine learning has emerged as a powerful tool in various fields, including computer vision, natural language processing, and speech recognition. It can unravel hidden patterns within large data sets and r...	[ 44354 ]	Test
30,496	3	Title: Evaluating TCFD Reporting: A New Application of Zero-Shot Analysis to Climate-Related Financial Disclosures Abstract: We examine climate-related disclosures in a large sample of reports published by banks that officially endorsed the recommendations of the Task Force for Climate-related Financial Disclosures (TC...	[]	Validation
30,497	16	Title: No-Reference Point Cloud Quality Assessment via Weighted Patch Quality Prediction Abstract: With the rapid development of 3D vision applications based on point clouds, point cloud quality assessment(PCQA) is becoming an important research topic. However, the prior PCQA methods ignore the effect of local quality ...	[]	Train
30,498	8	Title: Two-tiered Online Optimization of Region-wide Datacenter Resource Allocation via Deep Reinforcement Learning Abstract: This paper addresses the important need for advanced techniques in continuously allocating workloads on shared infrastructures in data centers, a problem arising due to the growing popularity an...	[ 13714, 34395, 4525 ]	Train
30,499	24	Title: Comparing AutoML and Deep Learning Methods for Condition Monitoring using Realistic Validation Scenarios Abstract: This study extensively compares conventional machine learning methods and deep learning for condition monitoring tasks using an AutoML toolbox. The experiments reveal consistent high accuracy in ran...	[]	Train
30,500	16	Title: Image Captioners Are Scalable Vision Learners Too Abstract: Contrastive pretraining on image-text pairs from the web is one of the most popular large-scale pretraining strategies for vision backbones, especially in the context of large multimodal models. At the same time, image captioning on this type of data is...	[ 10624, 35, 30243, 19433, 8084, 23285, 2967, 37657, 13564, 40830 ]	Train
30,501	24	Title: Medoid Silhouette clustering with automatic cluster number selection Abstract: The evaluation of clustering results is difficult, highly dependent on the evaluated data set and the perspective of the beholder. There are many different clustering quality measures, which try to provide a general measure to validat...	[]	Validation
30,502	16	Title: Edge-Aware Mirror Network for Camouflaged Object Detection Abstract: Existing edge-aware camouflaged object detection (COD) methods normally output the edge prediction in the early stage. However, edges are important and fundamental factors in the following segmentation task. Due to the high visual similarity be...	[]	Train
30,503	16	Title: Towards Coherent Image Inpainting Using Denoising Diffusion Implicit Models Abstract: Image inpainting refers to the task of generating a complete, natural image based on a partially revealed reference image. Recently, many research interests have been focused on addressing this problem using fixed diffusion mod...	[ 44561, 500 ]	Validation
30,504	24	Title: DiscoVars: A New Data Analysis Perspective - Application in Variable Selection for Clustering Abstract: We present a new data analysis perspective to determine variable importance regardless of the underlying learning task. Traditionally, variable selection is considered an important step in supervised learning ...	[]	Test
30,505	28	Title: A Theory for Semantic Communications Abstract: Semantic communications, as one of the potential key technologies of the sixth generation communications (6G), has attracted research interest from both academia and industry. However, semantic communication is still in its infancy and it faces many challenges, such...	[ 33282 ]	Train
30,506	16	Title: HyperNeRFGAN: Hypernetwork approach to 3D NeRF GAN Abstract: Recently, generative models for 3D objects are gaining much popularity in VR and augmented reality applications. Training such models using standard 3D representations, like voxels or point clouds, is challenging and requires complex tools for proper c...	[ 7076, 29524 ]	Train
30,507	24	Title: A conceptual model for leaving the data-centric approach in machine learning Abstract: For a long time, machine learning (ML) has been seen as the abstract problem of learning relationships from data independent of the surrounding settings. This has recently been challenged, and methods have been proposed to inc...	[]	Train
30,508	8	Title: Multi-AP Coordinated Spatial Reuse for Wi-Fi 8: Group Creation and Scheduling Abstract: Multi-Access Point Coordination (MAPC) will be a key feature in next generation Wi-Fi 8 networks. MAPC aims to improve the overall network performance by allowing Access Points (APs) to share time, frequency and/or spatial re...	[]	Train
30,509	30	Title: L3Cube-IndicSBERT: A simple approach for learning cross-lingual sentence representations using multilingual BERT Abstract: The multilingual Sentence-BERT (SBERT) models map different languages to common representation space and are useful for cross-language similarity and mining tasks. We propose a simple yet ef...	[]	Train
30,510	30	Title: Automating Behavioral Testing in Machine Translation Abstract: Behavioral testing in NLP allows fine-grained evaluation of systems by examining their linguistic capabilities through the analysis of input-output behavior. Unfortunately, existing work on behavioral testing in Machine Translation (MT) is currently ...	[ 39451, 14055 ]	Train
30,511	24	Title: Heteroscedastic Causal Structure Learning Abstract: Heretofore, learning the directed acyclic graphs (DAGs) that encode the cause-effect relationships embedded in observational data is a computationally challenging problem. A recent trend of studies has shown that it is possible to recover the DAGs with polynomi...	[]	Train
30,512	3	Title: IoT-Based Water Quality Assessment System for Industrial Waste WaterHealthcare Perspective Abstract: The environment, especially water, gets polluted due to industrialization and urbanization. Pollution due to industrialization and urbanization has harmful effects on both the environment and the lives on Earth. ...	[]	Train
30,513	31	Title: The Information Retrieval Experiment Platform Abstract: We integrate irdatasets, ir_measures, and PyTerrier with TIRA in the Information Retrieval Experiment Platform (TIREx) to promote more standardized, reproducible, scalable, and even blinded retrieval experiments. Standardization is achieved when a retrieval...	[ 23219 ]	Train
30,514	16	Title: LSFSL: Leveraging Shape Information in Few-shot Learning Abstract: Few-shot learning (FSL) techniques seek to learn the underlying patterns in data using fewer samples, analogous to how humans learn from limited experience. In this limiteddata scenario, the challenges associated with deep neural networks, such a...	[]	Train
30,515	8	Title: The Membership Degree Min-Max Localisation Algorithm Abstract: We introduce the Membership Degree Min-Max (MD-Min-Max) localisation algorithm as a precise and simple lateration algorithm for indoor localisation. MD-Min-Max is based on the well-known Min-Max algorithm that computes a bounding box to estimate the ...	[]	Test
30,516	24	Title: InfoDiffusion: Representation Learning Using Information Maximizing Diffusion Models Abstract: While diffusion models excel at generating high-quality samples, their latent variables typically lack semantic meaning and are not suitable for representation learning. Here, we propose InfoDiffusion, an algorithm tha...	[]	Test
30,517	30	Title: On Evaluating and Mitigating Gender Biases in Multilingual Settings Abstract: While understanding and removing gender biases in language models has been a long-standing problem in Natural Language Processing, prior research work has primarily been limited to English. In this work, we investigate some of the chal...	[ 21574 ]	Train
30,518	16	Title: Scaling-up Remote Sensing Segmentation Dataset with Segment Anything Model Abstract: The success of the Segment Anything Model (SAM) demonstrates the significance of data-centric machine learning. However, due to the difficulties and high costs associated with annotating Remote Sensing (RS) images, a large amoun...	[ 12704, 35263, 32431, 13876, 22808, 42267, 1151 ]	Test
30,519	24	Title: Data augmentation and explainability for bias discovery and mitigation in deep learning Abstract: This dissertation explores the impact of bias in deep neural networks and presents methods for reducing its influence on model performance. The first part begins by categorizing and describing potential sources of b...	[]	Train
30,520	27	Title: Data-efficient, Explainable and Safe Payload Manipulation: An Illustration of the Advantages of Physical Priors in Model-Predictive Control Abstract: Machine Learning methods, such as those from the Reinforcement Learning (RL) literature, have increasingly been applied to robot control problems. However, such co...	[ 42973 ]	Train
30,521	16	Title: Efficient Transfer Learning in Diffusion Models via Adversarial Noise Abstract: Diffusion Probabilistic Models (DPMs) have demonstrated substantial promise in image generation tasks but heavily rely on the availability of large amounts of training data. Previous works, like GANs, have tackled the limited data pr...	[]	Validation
30,522	16	Title: DomainStudio: Fine-Tuning Diffusion Models for Domain-Driven Image Generation using Limited Data Abstract: Denoising diffusion probabilistic models (DDPMs) have been proven capable of synthesizing high-quality images with remarkable diversity when trained on large amounts of data. Typical diffusion models and mo...	[ 31913, 41167, 28532, 17647 ]	Train
30,523	1	Title: Inspire creativity with ORIBA: Transform Artists' Original Characters into Chatbots through Large Language Model Abstract: This research delves into the intersection of illustration art and artificial intelligence (AI), focusing on how illustrators engage with AI agents that embody their original characters (OCs...	[ 9681, 27059, 2876 ]	Train
30,524	34	Title: Quantum Graph Drawing Abstract: In this paper, we initiate the study of quantum algorithms in the Graph Drawing research area. We focus on two foundational drawing standards: 2-level drawings and book layouts. Concerning $2$-level drawings, we consider the problems of obtaining drawings with the minimum number o...	[]	Validation
30,525	16	Title: Faster Video Moment Retrieval with Point-Level Supervision Abstract: Video Moment Retrieval (VMR) aims at retrieving the most relevant events from an untrimmed video with natural language queries. Existing VMR methods suffer from two defects: (1) massive expensive temporal annotations are required to obtain sati...	[]	Test
30,526	16	Title: Cheap Lunch for Medical Image Segmentation by Fine-tuning SAM on Few Exemplars Abstract: The Segment Anything Model (SAM) has demonstrated remarkable capabilities of scaled-up segmentation models, enabling zero-shot generalization across a variety of domains. By leveraging large-scale foundational models as pre-...	[ 18112, 19907 ]	Train
30,527	31	Title: Multi-behavior Recommendation with SVD Graph Neural Networks Abstract: Graph Neural Networks (GNNs) has been extensively employed in the field of recommender systems, offering users personalized recommendations and yielding remarkable outcomes. Recently, GNNs incorporating contrastive learning have demonstrated ...	[]	Test
30,528	16	Title: StylerDALLE: Language-Guided Style Transfer Using a Vector-Quantized Tokenizer of a Large-Scale Generative Model Abstract: Despite the progress made in the style transfer task, most previous work focus on transferring only relatively simple features like color or texture, while missing more abstract concepts suc...	[ 28532, 23356 ]	Train
30,529	39	Title: Complexity of total dominator coloring in graphs Abstract: Let $G=(V,E)$ be a graph with no isolated vertices. A vertex $v$ totally dominate a vertex $w$ ($w \ne v$), if $v$ is adjacent to $w$. A set $D \subseteq V$ called a total dominating set of $G$ if every vertex $v\in V$ is totally dominated by some vertex...	[]	Validation
30,530	16	Title: TriVol: Point Cloud Rendering via Triple Volumes Abstract: Existing learning-based methods for point cloud rendering adopt various 3D representations and feature querying mechanisms to alleviate the sparsity problem of point clouds. However, artifacts still appear in rendered images, due to the challenges in ext...	[ 3438 ]	Train
30,531	4	Title: PowerGAN: A Machine Learning Approach for Power Side-Channel Attack on Compute-in-Memory Accelerators Abstract: Analog compute-in-memory (CIM) systems are promising for deep neural network (DNN) inference acceleration due to their energy efficiency and high throughput. However, as the use of DNNs expands, protec...	[]	Validation
30,532	30	Title: Parallel Corpus for Indigenous Language Translation: Spanish-Mazatec and Spanish-Mixtec Abstract: In this paper, we present a parallel Spanish- Mazatec and Spanish-Mixtec corpus for machine translation (MT) tasks, where Mazatec and Mixtec are two indigenous Mexican languages. We evaluated the usability of the co...	[ 21161 ]	Test
30,533	30	Title: A Simple and Flexible Modeling for Mental Disorder Detection by Learning from Clinical Questionnaires Abstract: Social media is one of the most highly sought resources for analyzing characteristics of the language by its users. In particular, many researchers utilized various linguistic features of mental health...	[]	Validation
30,534	3	Title: Gender Bias in Multimodal Models: A Transnational Feminist Approach Considering Geographical Region and Culture Abstract: Deep learning based visual-linguistic multimodal models such as Contrastive Language Image Pre-training (CLIP) have become increasingly popular recently and are used within text-to-image gene...	[ 31868 ]	Validation
30,535	27	Title: Design and Control of a Micro Overactuated Aerial Robot with an Origami Delta Manipulator Abstract: This work presents the mechanical design and control of a novel small-size and lightweight Micro Aerial Vehicle (MAV) for aerial manipulation. To our knowledge, with a total take-off mass of only 2.0 kg, the propo...	[]	Test
30,536	16	Title: Offloading Deep Learning Powered Vision Tasks From UAV to 5G Edge Server With Denoising Abstract: Offloading computationally heavy tasks from an unmanned aerial vehicle (UAV) to a remote server helps improve battery life and can help reduce resource requirements. Deep learning based state-of-the-art computer vis...	[]	Train
30,537	8	Title: NetGPT: Generative Pretrained Transformer for Network Traffic Abstract: All data on the Internet are transferred by network traffic, thus accurately modeling network traffic can help improve network services quality and protect data privacy. Pretrained models for network traffic can utilize large-scale raw data ...	[ 4639 ]	Train
30,538	30	Title: Exploring Equation as a Better Intermediate Meaning Representation for Numerical Reasoning Abstract: Numerical reasoning is vital for natural language processing models to understand and process numerical information in real-world scenarios. Most current methods first generate the Intermediate Meaning Representa...	[ 43970, 10502, 13510, 16014, 19727, 10293, 8630, 9141, 5078 ]	Train
30,539	23	Title: An investigation of challenges encountered when specifying training data and runtime monitors for safety critical ML applications Abstract: Context and motivation: The development and operation of critical software that contains machine learning (ML) models requires diligence and established processes. Especiall...	[ 34505, 45614 ]	Validation
30,540	16	Title: Unfinished Architectures: A Perspective from Artificial Intelligence Abstract: Los edificios inacabados son una constante a lo largo de la historia de la arquitectura y han dado lugar a intensos debates sobre la pertinencia o no de su finalización, además de ofrecer coartadas para la teorización sobre las posibi...	[]	Train
30,541	5	Title: PipeLearn: Pipeline Parallelism for Collaborative Machine Learning Abstract: Collaborative machine learning (CML) techniques, such as federated learning, were proposed to collaboratively train deep learning models using multiple end-user devices and a server. CML techniques preserve the privacy of end-users as i...	[]	Train
30,542	30	Title: Refashioning Emotion Recognition Modelling: The Advent of Generalised Large Models Abstract: After the inception of emotion recognition or affective computing, it has increasingly become an active research topic due to its broad applications. Over the past couple of decades, emotion recognition models have gradu...	[ 40192, 33220, 42983, 14966, 37177 ]	Train
30,543	24	Title: The Underlying Scaling Laws and Universal Statistical Structure of Complex Datasets Abstract: We study universal traits which emerge both in real-world complex datasets, as well as in artificially generated ones. Our approach is to analogize data to a physical system and employ tools from statistical physics and...	[ 5008 ]	Train
30,544	20	Title: Machining feature recognition using descriptors with range constraints for mechanical 3D models Abstract: In machining feature recognition, geometric elements generated in a three-dimensional computer-aided design model are identified. This technique is used in manufacturability evaluation, process planning, and...	[]	Train
30,545	10	Title: Querying Circumscribed Description Logic Knowledge Bases Abstract: Circumscription is one of the main approaches for defining non-monotonic description logics (DLs) and the decidability and complexity of traditional reasoning tasks, such as satisfiability of circumscribed DL knowledge bases (KBs) are well unders...	[]	Test
30,546	5	Title: A Wait-free Queue with Polylogarithmic Step Complexity Abstract: We present a novel linearizable wait-free queue implementation using single-word CAS instructions. Previous lock-free queue implementations from CAS all have amortized step complexity of Ω(p) per operation in worst-case executions, where p is the n...	[]	Train
30,547	25	Title: An Initial Exploration: Learning to Generate Realistic Audio for Silent Video Abstract: Generating realistic audio effects for movies and other media is a challenging task that is accomplished today primarily through physical techniques known as Foley art. Foley artists create sounds with common objects (e.g., b...	[]	Validation
30,548	3	Title: How to Design and Deliver Courses for Higher Education in the AI Era: Insights from Exam Data Analysis Abstract: In this position paper, we advocate for the idea that courses and exams in the AI era have to be designed based on two factors: (1) the strengths and limitations of AI, and (2) the pedagogical educati...	[ 29922, 12431, 44246, 1401, 17789 ]	Test
30,549	17	Title: Neural Stream Functions Abstract: We present a neural network approach to compute stream functions, which are scalar functions with gradients orthogonal to a given vector field. As a result, isosurfaces of the stream function extract stream surfaces, which can be visualized to analyze flow features. Our approach...	[]	Train
30,550	24	Title: How to prepare your task head for finetuning Abstract: In deep learning, transferring information from a pretrained network to a downstream task by finetuning has many benefits. The choice of task head plays an important role in fine-tuning, as the pretrained and downstream tasks are usually different. Although ...	[ 14008, 24122, 37611, 45228 ]	Train
30,551	24	Title: Stabilizing and Improving Federated Learning with Non-IID Data and Client Dropout Abstract: The label distribution skew induced data heterogeniety has been shown to be a significant obstacle that limits the model performance in federated learning, which is particularly developed for collaborative model training ...	[]	Test
30,552	27	Title: Situated Participatory Design: A Method for In Situ Design of Robotic Interaction with Older Adults Abstract: We present a participatory design method to design human-robot interactions with older adults and its application through a case study of designing an assistive robot for a senior living facility. The me...	[]	Train
30,553	30	Title: LCT-1 at SemEval-2023 Task 10: Pre-training and Multi-task Learning for Sexism Detection and Classification Abstract: Misogyny and sexism are growing problems in social media. Advances have been made in online sexism detection but the systems are often uninterpretable. SemEval-2023 Task 10 on Explainable Detecti...	[ 16936 ]	Validation
30,554	30	Title: Unsupervised Melody-to-Lyrics Generation Abstract: Automatic melody-to-lyric generation is a task in which song lyrics are generated to go with a given melody. It is of significant practical interest and more challenging than unconstrained lyric generation as the music imposes additional constraints onto the lyr...	[]	Test
30,555	24	Title: SMAP: A Novel Heterogeneous Information Framework for Scenario-based Optimal Model Assignment Abstract: The increasing maturity of big data applications has led to a proliferation of models targeting the same objectives within the same scenarios and datasets. However, selecting the most suitable model that consi...	[]	Test
30,556	24	Title: Choosing the Right Weights: Balancing Value, Strategy, and Noise in Recommender Systems Abstract: Many recommender systems are based on optimizing a linear weighting of different user behaviors, such as clicks, likes, shares, etc. Though the choice of weights can have a significant impact, there is little formal...	[ 33051 ]	Train
30,557	16	Title: Segmentação e contagem de troncos de madeira utilizando deep learning e processamento de imagens Abstract: Counting objects in images is a pattern recognition problem that focuses on identifying an element to determine its incidence and is approached in the literature as Visual Object Counting (VOC). In this wor...	[]	Validation
30,558	27	Title: ONE PIECE: One Patchwork In Effectively Combined Extraction for grasp Abstract: For grasp network algorithms, generating grasp datasets for a large number of 3D objects is a crucial task. However, generating grasp datasets for hundreds of objects can be very slow and consume a lot of storage resources, which hin...	[]	Validation
30,559	27	Title: Reachable Set-based Path Planning for Automated Vertical Parking System Abstract: This paper proposes a local path planning method with a reachable set for Automated vertical Parking Systems (APS). First, given a parking lot layout with a goal position, we define an intermediate pose for the APS to accomplish re...	[]	Train
30,560	16	Title: Research on self-cross transformer model of point cloud change detecter Abstract: With the vigorous development of the urban construction industry, engineering deformation or changes often occur during the construction process. To combat this phenomenon, it is necessary to detect changes in order to detect const...	[]	Test
30,561	30	Title: Prompted LLMs as Chatbot Modules for Long Open-domain Conversation Abstract: In this paper, we propose MPC (Modular Prompted Chatbot), a new approach for creating high-quality conversational agents without the need for fine-tuning. Our method utilizes pre-trained large language models (LLMs) as individual module...	[ 7936, 5603, 9012, 2597 ]	Train
30,562	37	Title: Incentivising Building Data Availability and Accessibility Using Tokenized Data Assets Abstract: Smart cities are data driven and collect data from a variety of sources. Certain types of data such as building data is under-represented and remains harder to find despite its value. Our goal is to incentivise the s...	[ 26595 ]	Train
30,563	28	Title: The weight spectrum of two families of Reed-Muller codes Abstract: nan	[]	Test
30,564	24	Title: Understanding Generalization of Federated Learning via Stability: Heterogeneity Matters Abstract: Generalization performance is a key metric in evaluating machine learning models when applied to real-world applications. Good generalization indicates the model can predict unseen data correctly when trained under ...	[]	Train
30,565	6	Title: Unleashing ChatGPT on the Metaverse: Savior or Destroyer? Abstract: The incorporation of artificial intelligence (AI) technology, and in particular natural language processing (NLP), is becoming increasingly vital for the development of immersive and interactive metaverse experiences. One such artificial intelli...	[ 18705, 28570 ]	Train
30,566	16	Title: RealFusion 360° Reconstruction of Any Object from a Single Image Abstract: We consider the problem of reconstructing a full 360° photographic model of an object from a single image of it. We do so by fitting a neural radiance field to the image, but find this problem to be severely ill-posed. We thus take an off...	[ 32384, 18699, 23051, 3225, 541, 15393, 32293, 40485, 15785, 38959, 19893, 33845, 44726, 40888, 7994, 9276, 10942, 40256, 30024, 26825, 32844, 4559, 11728, 11473, 41174, 42214, 4583, 36083, 22006, 17529, 14842, 13308 ]	Train
30,567	2	Title: First order synthesis for data words revisited Abstract: We carry on the study of the synthesis problem on data words for fragments of first order logic, and delineate precisely the border between decidability and undecidability.	[]	Test
30,568	13	Title: Influence of Swarm Intelligence in Data Clustering Mechanisms Abstract: Data mining focuses on discovering interesting, non-trivial and meaningful information from large datasets. Data clustering is one of the unsupervised and descriptive data mining task which group data based on similarity features and physica...	[]	Validation
30,569	6	Title: EmoStim: A Database of Emotional Film Clips with Discrete and Componential Assessment Abstract: Emotion elicitation using emotional film clips is one of the most common and ecologically valid methods in Affective Computing. However, selecting and validating appropriate materials that evoke a range of emotions is...	[]	Train
30,570	24	Title: Continual Learning in the Presence of Spurious Correlation Abstract: Most continual learning (CL) algorithms have focused on tackling the stability-plasticity dilemma, that is, the challenge of preventing the forgetting of previous tasks while learning new ones. However, they have overlooked the impact of the kn...	[]	Validation
30,571	16	Title: Boundary-Refined Prototype Generation: A General End-to-End Paradigm for Semi-Supervised Semantic Segmentation Abstract: Prototype-based classification is a classical method in machine learning, and recently it has achieved remarkable success in semi-supervised semantic segmentation. However, the current approac...	[ 754, 14924 ]	Train
30,572	10	Title: Pushing the Limits of Machine Design: Automated CPU Design with AI Abstract: Design activity -- constructing an artifact description satisfying given goals and constraints -- distinguishes humanity from other animals and traditional machines, and endowing machines with design abilities at the human level or beyo...	[]	Test
30,573	6	Title: The Rational Agent Benchmark for Data Visualization Abstract: Understanding how helpful a visualization is from experimental results is difficult because the observed performance is confounded with aspects of the study design, such as how useful the information that is visualized is for the task. We develop a ra...	[ 11996 ]	Train
30,574	4	Title: Mutation-Based Adversarial Attacks on Neural Text Detectors Abstract: Neural text detectors aim to decide the characteristics that distinguish neural (machine-generated) from human texts. To challenge such detectors, adversarial attacks can alter the statistical characteristics of the generated text, making the ...	[ 26427 ]	Test
30,575	16	Title: Source-free Domain Adaptive Human Pose Estimation Abstract: Human Pose Estimation (HPE) is widely used in various fields, including motion analysis, healthcare, and virtual reality. However, the great expenses of labeled real-world datasets present a significant challenge for HPE. To overcome this, one approach ...	[ 20998 ]	Train
30,576	16	Title: A Unified Conditional Framework for Diffusion-based Image Restoration Abstract: Diffusion Probabilistic Models (DPMs) have recently shown remarkable performance in image generation tasks, which are capable of generating highly realistic images. When adopting DPMs for image restoration tasks, the crucial aspect l...	[ 20625 ]	Train
30,577	24	Title: Model-Based Uncertainty in Value Functions Abstract: We consider the problem of quantifying uncertainty over expected cumulative rewards in model-based reinforcement learning. In particular, we focus on characterizing the variance over values induced by a distribution over MDPs. Previous work upper bounds the po...	[ 10904, 23990 ]	Validation

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