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
31,778	24	Title: Fourier Neural Operators for Arbitrary Resolution Climate Data Downscaling Abstract: Climate simulations are essential in guiding our understanding of climate change and responding to its effects. However, it is computationally expensive to resolve complex climate processes at high spatial resolution. As one way...	[ 1116 ]	Train
31,779	24	Title: Drag-guided diffusion models for vehicle image generation Abstract: Denoising diffusion models trained at web-scale have revolutionized image generation. The application of these tools to engineering design is an intriguing possibility, but is currently limited by their inability to parse and enforce concrete en...	[ 14842, 3690, 8798 ]	Test
31,780	16	Title: NFTVis: Visual Analysis of NFT Performance Abstract: A non-fungible token (NFT) is a data unit stored on the blockchain. Nowadays, more and more investors and collectors (NFT traders), who participate in transactions of NFTs, have an urgent need to assess the performance of NFTs. However, there are two challenge...	[]	Test
31,781	16	Title: PolyGNN: Polyhedron-based Graph Neural Network for 3D Building Reconstruction from Point Clouds Abstract: We present PolyGNN, a polyhedron-based graph neural network for 3D building reconstruction from point clouds. PolyGNN learns to assemble primitives obtained by polyhedral decomposition via graph node classif...	[ 1690 ]	Train
31,782	3	Title: Nanomodular Electronics Abstract: It may be possible to reinvent how microelectronics are made using a two step process: (1) Synthesizing modular, nanometer-scale components -- transistors, sensors, and other devices -- and suspending them in a liquid"ink"for storage or transport; (2) Using a 3D-printer-like mac...	[]	Test
31,783	24	Title: SpReME: Sparse Regression for Multi-Environment Dynamic Systems Abstract: Learning dynamical systems is a promising avenue for scientific discoveries. However, capturing the governing dynamics in multiple environments still remains a challenge: model-based approaches rely on the fidelity of assumptions made for ...	[]	Train
31,784	24	Title: Elastic Interaction Energy-Based Generative Model: Approximation in Feature Space Abstract: In this paper, we propose a novel approach to generative modeling using a loss function based on elastic interaction energy (EIE), which is inspired by the elastic interaction between defects in crystals. The utilization ...	[ 37545, 20388 ]	Test
31,785	8	Title: Enhancing End-to-End Determinism and Reliability in 6TiSCH networks with disjoint leaf-based MPLS-like tunnels Abstract: Industrial multi-hop Internet of Things (IIoT) have strict reliability requirements and they are expected to have deterministic behavior. Reliability is associated with the network's ability t...	[]	Test
31,786	24	Title: Denial-of-Service or Fine-Grained Control: Towards Flexible Model Poisoning Attacks on Federated Learning Abstract: Federated learning (FL) is vulnerable to poisoning attacks, where adversaries corrupt the global aggregation results and cause denial-of-service (DoS). Unlike recent model poisoning attacks that op...	[ 6650 ]	Train
31,787	31	Title: Hybrid Contrastive Constraints for Multi-Scenario Ad Ranking Abstract: Multi-scenario ad ranking aims at leveraging the data from multiple domains or channels for training a unified ranking model to improve the performance at each individual scenario. Although the research on this task has made important progres...	[]	Train
31,788	30	Title: Towards Personalized Review Summarization by Modeling Historical Reviews from Customer and Product Separately Abstract: Review summarization is a non-trivial task that aims to summarize the main idea of the product review in the E-commerce website. Different from the document summary which only needs to focus on...	[ 9834 ]	Validation
31,789	30	Title: AaKOS: Aspect-adaptive Knowledge-based Opinion Summarization Abstract: The rapid growth of information on the Internet has led to an overwhelming amount of opinions and comments on various activities, products, and services. This makes it difficult and time-consuming for users to process all the available inform...	[]	Test
31,790	24	Title: Provably Robust Temporal Difference Learning for Heavy-Tailed Rewards Abstract: In a broad class of reinforcement learning applications, stochastic rewards have heavy-tailed distributions, which lead to infinite second-order moments for stochastic (semi)gradients in policy evaluation and direct policy optimizati...	[]	Validation
31,791	16	Title: WEDGE: A multi-weather autonomous driving dataset built from generative vision-language models Abstract: The open road poses many challenges to autonomous perception, including poor visibility from extreme weather conditions. Models trained on good-weather datasets frequently fail at detection in these out-of-di...	[ 15184, 8234, 18283 ]	Train
31,792	24	Title: Causal Discovery from Temporal Data: An Overview and New Perspectives Abstract: Temporal data, representing chronological observations of complex systems, has always been a typical data structure that can be widely generated by many domains, such as industry, medicine and finance. Analyzing this type of data is ...	[ 25719, 44750, 15111 ]	Train
31,793	24	Title: A Holistic Assessment of the Reliability of Machine Learning Systems Abstract: As machine learning (ML) systems increasingly permeate high-stakes settings such as healthcare, transportation, military, and national security, concerns regarding their reliability have emerged. Despite notable progress, the performa...	[ 41187 ]	Train
31,794	30	Title: Can Large Language Models Infer Causation from Correlation? Abstract: Causal inference is one of the hallmarks of human intelligence. While the field of CausalNLP has attracted much interest in the recent years, existing causal inference datasets in NLP primarily rely on discovering causality from empirical know...	[ 34178, 13700, 16837, 33220, 26792, 24139, 12015, 2291, 7091, 18583 ]	Train
31,795	30	Title: Multi-Task End-to-End Training Improves Conversational Recommendation Abstract: In this paper, we analyze the performance of a multitask end-to-end transformer model on the task of conversational recommendations, which aim to provide recommendations based on a user's explicit preferences expressed in dialogue. W...	[ 6283 ]	Test
31,796	36	Title: Properties of Position Matrices and Their Elections Abstract: We study the properties of elections that have a given position matrix (in such elections each candidate is ranked on each position by a number of voters specified in the matrix). We show that counting elections that generate a given position matrix i...	[]	Validation
31,797	30	Title: Analyzing Norm Violations in Live-Stream Chat Abstract: Toxic language, such as hate speech, can deter users from participating in online communities and enjoying popular platforms. Previous approaches to detecting toxic language and norm violations have been primarily concerned with conversations from online fo...	[]	Train
31,798	28	Title: Chain rules for one-shot entropic quantities via operational methods Abstract: We introduce a new operational technique for deriving chain rules for general information theoretic quantities. This technique is very different from the popular (and in some cases fairly involved) methods like SDP formulation and ope...	[]	Train
31,799	28	Title: Power Allocation for the Base Matrix of Spatially Coupled Sparse Regression Codes Abstract: We investigate power allocation for the base matrix of a spatially coupled sparse regression code (SC-SPARC) for reliable communications over an additive white Gaussian noise channel. A conventional SC-SPARC allocates pow...	[]	Validation
31,800	4	Title: BaseSAP: Modular Stealth Address Protocol for Programmable Blockchains Abstract: Stealth addresses represent an approach to enhancing privacy within public and distributed blockchains, such as Ethereum and Bitcoin. Stealth address protocols generate a distinct, randomly generated address for the recipient, there...	[]	Validation
31,801	16	Title: Watch Out for the Confusing Faces: Detecting Face Swapping with the Probability Distribution of Face Identification Models Abstract: Recently, face swapping has been developing rapidly and achieved a surprising reality, raising concerns about fake content. As a countermeasure, various detection approaches have b...	[]	Validation
31,802	17	Title: Contour Completion by Transformers and Its Application to Vector Font Data Abstract: In documents and graphics, contours are a popular format to describe specific shapes. For example, in the True Type Font (TTF) file format, contours describe vector outlines of typeface shapes. Each contour is often defined as a...	[]	Test
31,803	16	Title: Perceptual Quality Assessment of NeRF and Neural View Synthesis Methods for Front-Facing Views Abstract: Neural view synthesis (NVS) is one of the most successful techniques for synthesizing free viewpoint videos, capable of achieving high fidelity from only a sparse set of captured images. This success has led ...	[ 2593 ]	Train
31,804	30	Title: MedMine: Examining Pre-trained Language Models on Medication Mining Abstract: Automatic medication mining from clinical and biomedical text has become a popular topic due to its real impact on healthcare applications and the recent development of powerful language models (LMs). However, fully-automatic extractio...	[]	Validation
31,805	31	Title: A Survey on Point-of-Interest Recommendations Leveraging Heterogeneous Data Abstract: Tourism is an important application domain for recommender systems. In this domain, recommender systems are for example tasked with providing personalized recommendations for transportation, accommodation, points-of-interest (P...	[]	Train
31,806	27	Title: Magnetic Ball Chain Robots for Endoluminal Interventions Abstract: This paper introduces a novel class of hyperredun-dant robots comprised of chains of permanently magnetized spheres enclosed in a cylindrical polymer skin. With their shape controlled using an externally-applied magnetic field, the spherical join...	[]	Train
31,807	24	Title: Rotational Optimizers: Simple & Robust DNN Training Abstract: The training dynamics of modern deep neural networks depend on complex interactions between the learning rate, weight decay, initialization, and other hyperparameters. These interactions can give rise to Spherical Motion Dynamics in scale-invariant la...	[]	Train
31,808	30	Title: Score-balanced Loss for Multi-aspect Pronunciation Assessment Abstract: With rapid technological growth, automatic pronunciation assessment has transitioned toward systems that evaluate pronunciation in various aspects, such as fluency and stress. However, despite the highly imbalanced score labels within each a...	[]	Test
31,809	16	Title: Web Photo Source Identification based on Neural Enhanced Camera Fingerprint Abstract: With the growing popularity of smartphone photography in recent years, web photos play an increasingly important role in all walks of life. Source camera identification of web photos aims to establish a reliable linkage from th...	[]	Train
31,810	28	Title: Spatial Secrecy Spectral Efficiency Optimization Enabled by Reconfigurable Intelligent Surfaces Abstract: Reconfigurable Intelligent Surfaces (RISs) constitute a strong candidate physical-layer technology for the $6$-th Generation (6G) of wireless networks, offering new design degrees of freedom for efficiently ...	[ 32701 ]	Test
31,811	4	Title: An ontological approach to compliance verification of the NIS 2 directive Abstract: Cybersecurity, which notoriously concerns both human and technological aspects, is becoming more and more regulated by a number of textual documents spanning several pages, such as the European GDPR Regulation and the NIS Directi...	[]	Train
31,812	16	Title: 3D-MuPPET: 3D Multi-Pigeon Pose Estimation and Tracking Abstract: Markerless methods for animal posture tracking have been developing recently, but frameworks and benchmarks for tracking large animal groups in 3D are still lacking. To overcome this gap in the literature, we present 3D-MuPPET, a framework to esti...	[ 20209 ]	Test
31,813	27	Title: Potato: A Data-Oriented Programming 3D Simulator for Large-Scale Heterogeneous Swarm Robotics Abstract: Large-scale simulation with realistic nonlinear dynamic models is crucial for algorithms development for swarm robotics. However, existing platforms are mainly developed based on Object-Oriented Programming (O...	[ 9978 ]	Train
31,814	24	Title: Robust Tickets Can Transfer Better: Drawing More Transferable Subnetworks in Transfer Learning Abstract: Transfer learning leverages feature representations of deep neural networks (DNNs) pretrained on source tasks with rich data to empower effective finetuning on downstream tasks. However, the pre-trained model...	[ 36588 ]	Train
31,815	30	Title: The distribution of discourse relations within and across turns in spontaneous conversation Abstract: Time pressure and topic negotiation may impose constraints on how people leverage discourse relations (DRs) in spontaneous conversational contexts. In this work, we adapt a system of DRs for written language to ...	[ 9875 ]	Train
31,816	16	Title: SaaFormer: Spectral-spatial Axial Aggregation Transformer for Hyperspectral Image Classification Abstract: Hyperspectral images (HSI) captured from earth observing satellites and aircraft is becoming increasingly important for applications in agriculture, environmental monitoring, mining, etc. Due to the limited...	[ 22654 ]	Train
31,817	23	Title: The Hitchhiker's Guide to Program Analysis: A Journey with Large Language Models Abstract: Static analysis is a widely used technique in software engineering for identifying and mitigating bugs. However, a significant hurdle lies in achieving a delicate balance between precision and scalability. Large Language M...	[ 40192, 40610, 33477, 15047, 36617, 39466, 37742, 9105, 22578, 26673, 40565, 6744, 29017, 7132, 23837 ]	Validation
31,818	15	Title: A Bit-Parallel Deterministic Stochastic Multiplier Abstract: This paper presents a novel bit-parallel deterministic stochastic multiplier, which improves the area-energy-latency product by up to 10.6$\times$10$^4$, while improving the computational error by 32.2\%, compared to three prior stochastic multipliers.	[ 9655 ]	Train
31,819	4	Title: FedDefender: Client-Side Attack-Tolerant Federated Learning Abstract: Federated learning enables learning from decentralized data sources without compromising privacy, which makes it a crucial technique. However, it is vulnerable to model poisoning attacks, where malicious clients interfere with the training pro...	[ 41141 ]	Validation
31,820	8	Title: Classification of networks-on-chip in the context of analysis of promising self-organizing routing algorithms Abstract: This paper contains a detailed analysis of the current state of the network-on-chip (NoC) research field, based on which the authors propose the new NoC classification that is more complete in ...	[]	Validation
31,821	4	Title: FastBCSD: Fast and Efficient Neural Network for Binary Code Similarity Detection Abstract: Binary code similarity detection (BCSD) has various applications, including but not limited to vulnerability detection, plagiarism detection, and malware detection. Previous research efforts mainly focus on transforming bi...	[]	Test
31,822	16	Title: Effects of Real-Life Traffic Sign Alteration on YOLOv7- an Object Recognition Model Abstract: The advancement of Image Processing has led to the widespread use of Object Recognition (OR) models in various applications, such as airport security and mail sorting. These models have become essential in signifying th...	[]	Validation
31,823	24	Title: Genetic heterogeneity analysis using genetic algorithm and network science Abstract: Genome-wide association studies (GWAS) have linked thousands of genetic variants to the susceptibility of many common human diseases. However, the genetic explanations of diseases are often heterogeneous, imposing a substantial ...	[]	Test
31,824	24	Title: Identification of pattern mining algorithm for rugby league players positional groups separation based on movement patterns Abstract: The application of pattern mining algorithms to extract movement patterns from sports big data can improve training specificity by facilitating a more granular evaluation of movem...	[]	Train
31,825	24	Title: Applied Bayesian Structural Health Monitoring: inclinometer data anomaly detection and forecasting Abstract: Inclinometer probes are devices that can be used to measure deformations within earthwork slopes. This paper demonstrates a novel application of Bayesian techniques to real-world inclinometer data, provid...	[]	Validation
31,826	24	Title: SparDL: Distributed Deep Learning Training with Efficient Sparse Communication Abstract: Top-$k$ sparsification has recently been widely used to reduce the communication volume in distributed deep learning; however, due to Gradient Accumulation (GA) dilemma, the performance of top-$k$ sparsification is still lim...	[]	Train
31,827	28	Title: On Belief Propagation Decoding of Quantum Codes with Quaternary Reliability Statistics Abstract: In this paper, we investigate the use of quaternary reliability statistics for ordered statistics decoding (OSD) of quantum codes. OSD can be used to improve the performance of belief propagation (BP) decoding when i...	[]	Validation
31,828	28	Title: High-dimensional Expansion of Product Codes is Stronger than Robust and Agreement Testability Abstract: We study the coboundary expansion property of product codes called product expansion, which played a key role in all recent constructions of good qLDPC codes. It was shown before that this property is equivale...	[]	Train
31,829	37	Title: DQSOps: Data Quality Scoring Operations Framework for Data-Driven Applications Abstract: Data quality assessment has become a prominent component in the successful execution of complex data-driven artificial intelligence (AI) software systems. In practice, real-world applications generate huge volumes of data at...	[]	Validation
31,830	27	Title: Spatial Intelligence of a Self-driving Car and Rule-Based Decision Making Abstract: In this paper we show how rule-based decision making can be combined with traditional motion planning techniques to achieve human-like behavior of a self-driving vehicle in complex traffic situations. We give and discuss examples...	[]	Train
31,831	16	Title: 3D Face Arbitrary Style Transfer Abstract: Style transfer of 3D faces has gained more and more attention. However, previous methods mainly use images of artistic faces for style transfer while ignoring arbitrary style images such as abstract paintings. To solve this problem, we propose a novel method, namely Fac...	[]	Validation
31,832	30	Title: Through the Lens of Core Competency: Survey on Evaluation of Large Language Models Abstract: “From pre-trained language model (PLM) to large language model (LLM), the field of naturallanguage processing (NLP) has witnessed steep performance gains and wide practical uses. Theevaluation of a research field guides ...	[ 40192, 7695, 9105, 39061, 32542, 1575, 6061, 10165, 33853, 8894, 34755, 33220, 13510, 44623, 7125, 29017, 11612, 24931, 615, 22638, 35580 ]	Train
31,833	30	Title: The student becomes the master: Matching GPT3 on Scientific Factual Error Correction Abstract: Due to the prohibitively high cost of creating error correction datasets, most Factual Claim Correction methods rely on a powerful verification model to guide the correction process. This leads to a significant drop in...	[]	Train
31,834	30	Title: Improving Text Semantic Similarity Modeling through a 3D Siamese Network Abstract: Siamese networks have gained popularity as a method for modeling text semantic similarity. Traditional methods rely on pooling operation to compress the semantic representations from Transformer blocks in encoding, resulting in tw...	[]	Test
31,835	24	Title: Evolutionary Deep Nets for Non-Intrusive Load Monitoring Abstract: Non-Intrusive Load Monitoring (NILM) is an energy efficiency technique to track electricity consumption of an individual appliance in a household by one aggregated single, such as building level meter readings. The goal of NILM is to disaggregate...	[]	Train
31,836	30	Title: Athena 2.0: Discourse and User Modeling in Open Domain Dialogue Abstract: Conversational agents are consistently growing in popularity and many people interact with them every day. While many conversational agents act as personal assistants, they can have many different goals. Some are task-oriented, such as pro...	[ 29832, 19778 ]	Validation
31,837	30	Title: XuanYuan 2.0: A Large Chinese Financial Chat Model with Hundreds of Billions Parameters Abstract: In recent years, pre-trained language models have undergone rapid development with the emergence of large-scale models. However, there is a lack of open-sourced chat models specifically designed for the Chinese lang...	[ 13700, 29894, 12104, 17258, 395, 10163, 24308, 24087, 31895 ]	Train
31,838	23	Title: An Exploratory Approach for Game Engine Architecture Recovery Abstract: Game engines provide video game developers with a wide range of fundamental subsystems for creating games, such as 2D/3D graphics rendering, input device management, and audio playback. Developers often integrate these subsystems with other ...	[ 8370 ]	Test
31,839	2	Title: Incorporating Data Dependencies and Properties in Difference Verification with Conditions (Technical Report) Abstract: Software changes frequently. To efficiently deal with such frequent changes, software verification tools must be incremental. Most of today's approaches for incremental verification consider one...	[]	Train
31,840	24	Title: The Edge of Orthogonality: A Simple View of What Makes BYOL Tick Abstract: Self-predictive unsupervised learning methods such as BYOL or SimSiam have shown impressive results, and counter-intuitively, do not collapse to trivial representations. In this work, we aim at exploring the simplest possible mathematical...	[ 17352 ]	Validation
31,841	24	Title: Rectifying Group Irregularities in Explanations for Distribution Shift Abstract: It is well-known that real-world changes constituting distribution shift adversely affect model performance. How to characterize those changes in an interpretable manner is poorly understood. Existing techniques to address this prob...	[]	Train
31,842	24	Title: CoRe Optimizer: An All-in-One Solution for Machine Learning Abstract: The optimization algorithm and its hyperparameters can significantly affect the training speed and resulting model accuracy in machine learning applications. The wish list for an ideal optimizer includes fast and smooth convergence to low erro...	[]	Train
31,843	24	Title: Stable Vectorization of Multiparameter Persistent Homology using Signed Barcodes as Measures Abstract: Persistent homology (PH) provides topological descriptors for geometric data, such as weighted graphs, which are interpretable, stable to perturbations, and invariant under, e.g., relabeling. Most applications ...	[]	Train
31,844	20	Title: Computing Hive Plots: A Combinatorial Framework Abstract: Hive plots are a graph visualization style placing vertices on a set of radial axes emanating from a common center and drawing edges as smooth curves connecting their respective endpoints. In previous work on hive plots, assignment to an axis and vertex p...	[]	Train
31,845	16	Title: HoughLaneNet: Lane Detection with Deep Hough Transform and Dynamic Convolution Abstract: The task of lane detection has garnered considerable attention in the field of autonomous driving due to its complexity. Lanes can present difficulties for detection, as they can be narrow, fragmented, and often obscured by ...	[]	Validation
31,846	30	Title: A Static Evaluation of Code Completion by Large Language Models Abstract: Large language models trained on code have shown great potential to increase productivity of software developers. Several execution-based benchmarks have been proposed to evaluate functional correctness of model-generated code on simple pr...	[]	Train
31,847	24	Title: The Best of Both Worlds: Accurate Global and Personalized Models through Federated Learning with Data-Free Hyper-Knowledge Distillation Abstract: Heterogeneity of data distributed across clients limits the performance of global models trained through federated learning, especially in the settings with highly imb...	[]	Test
31,848	16	Title: NASiam: Efficient Representation Learning using Neural Architecture Search for Siamese Networks Abstract: Siamese networks are one of the most trending methods to achieve self-supervised visual representation learning (SSL). Since hand labeling is costly, SSL can play a crucial part by allowing deep learning to ...	[ 20104 ]	Train
31,849	24	Title: Causal Discovery with Score Matching on Additive Models with Arbitrary Noise Abstract: Causal discovery methods are intrinsically constrained by the set of assumptions needed to ensure structure identifiability. Moreover additional restrictions are often imposed in order to simplify the inference task: this is t...	[ 9229, 40078 ]	Train
31,850	16	Title: PathAsst: Redefining Pathology through Generative Foundation AI Assistant for Pathology Abstract: As advances in large language models (LLMs) and multimodal techniques continue to mature, the development of general-purpose multimodal large language models (MLLMs) has surged, with significant applications in natu...	[ 10624, 30243, 13700, 37987, 33220, 9609, 14281, 15598, 1854, 41104, 6770, 3609, 13564, 3454 ]	Train
31,851	30	Title: Memory Injections: Correcting Multi-Hop Reasoning Failures during Inference in Transformer-Based Language Models Abstract: Answering multi-hop reasoning questions requires retrieving and synthesizing information from diverse sources. Large Language Models (LLMs) struggle to perform such reasoning consistently. H...	[ 29441, 40610, 10502, 20794, 13549, 33933, 39602, 41683, 38834, 33365, 4634, 45275, 41053 ]	Test
31,852	16	Title: Epistemic and aleatoric uncertainty quantification for crack detection using a Bayesian Boundary Aware Convolutional Network Abstract: nan	[]	Train
31,853	23	Title: Large-Scale Evaluation of Method-Level Bug Localization with FinerBench4BL Abstract: Bug localization is an important aspect of software maintenance because it can locate modules that need to be changed to fix a specific bug. Although method-level bug localization is helpful for developers, there are only a few ...	[]	Train
31,854	5	Title: Orchestration in the Cloud-to-Things Compute Continuum: Taxonomy, Survey and Future Directions Abstract: IoT systems are becoming an essential part of our environment. Smart cities, smart manufacturing, augmented reality, and self-driving cars are just some examples of the wide range of domains, where the applic...	[]	Train
31,855	30	Title: Grandma Karl is 27 years old – research agenda for pseudonymization of research data Abstract: Accessibility of research data is critical for advances in many research fields, but textual data often cannot be shared due to the personal and sensitive information which it contains, e.g names or political opinions....	[]	Test
31,856	4	Title: Towards Robust Image-in-Audio Deep Steganography Abstract: The field of steganography has experienced a surge of interest due to the recent advancements in AI-powered techniques, particularly in the context of multimodal setups that enable the concealment of signals within signals of a different nature. The prim...	[]	Train
31,857	30	Title: Detecting ChatGPT: A Survey of the State of Detecting ChatGPT-Generated Text Abstract: While recent advancements in the capabilities and widespread accessibility of generative language models, such as ChatGPT (OpenAI, 2022), have brought about various benefits by generating fluent human-like text, the task of di...	[ 19968, 39233, 31330, 30149, 14410, 3050, 22476, 3250, 11219, 43930, 38235, 61, 32542, 36991 ]	Train
31,858	34	Title: Fully Dynamic Consistent k-Center Clustering Abstract: We study the consistent k-center clustering problem. In this problem, the goal is to maintain a constant factor approximate $k$-center solution during a sequence of $n$ point insertions and deletions while minimizing the recourse, i.e., the number of changes...	[ 34166, 32934, 28942 ]	Test
31,859	25	Title: What artificial intelligence might teach us about the origin of human language Abstract: This study has not undergone peer review. Proceed with scepticism. ABSTRACT This study explores an interesting pattern emerging from research that combines artificial intelligence with sound symbolism. In these studies, supe...	[]	Test
31,860	24	Title: A Data-Driven State Aggregation Approach for Dynamic Discrete Choice Models Abstract: We study dynamic discrete choice models, where a commonly studied problem involves estimating parameters of agent reward functions (also known as"structural"parameters), using agent behavioral data. Maximum likelihood estimatio...	[ 39747, 2991 ]	Validation
31,861	8	Title: Channel Selection for Wi-Fi 7 Multi-Link Operation via Optimistic-Weighted VDN and Parallel Transfer Reinforcement Learning Abstract: Dense and unplanned IEEE 802.11 Wireless Fidelity(Wi-Fi) deployments and the continuous increase of throughput and latency stringent services for users have led to machine learnin...	[]	Train
31,862	16	Title: YOLO series target detection algorithms for underwater environments Abstract: You Only Look Once (YOLO) algorithm is a representative target detection algorithm emerging in 2016, which is known for its balance of computing speed and accuracy, and now plays an important role in various fields of human production ...	[]	Train
31,863	16	Title: Consistent Multimodal Generation via A Unified GAN Framework Abstract: We investigate how to generate multimodal image outputs, such as RGB, depth, and surface normals, with a single generative model. The challenge is to produce outputs that are realistic, and also consistent with each other. Our solution builds...	[]	Train
31,864	8	Title: Tactile based Intelligence Touch Technology in IoT configured WCN in B5G/6G-A Survey Abstract: Touch enabled sensation and actuation is expected to be one of the most promising, straightforward and important uses of the next generation communication networks. In light of the next generation (B5G/6G) system’s nee...	[]	Validation
31,865	30	Title: Representation biases in sentence transformers Abstract: Variants of the BERT architecture specialised for producing full-sentence representations often achieve better performance on downstream tasks than sentence embeddings extracted from vanilla BERT. However, there is still little understanding of what proper...	[]	Train
31,866	16	Title: Gait Data Augmentation using Physics-Based Biomechanical Simulation Abstract: This paper focuses on addressing the problem of data scarcity for gait analysis. Standard augmentation methods may produce gait sequences that are not consistent with the biomechanical constraints of human walking. To address this issu...	[]	Train
31,867	24	Title: A Comprehensive Survey on Graph Summarization with Graph Neural Networks Abstract: As large-scale graphs become more widespread, more and more computational challenges with extracting, processing, and interpreting large graph data are being exposed. It is therefore natural to search for ways to summarize these e...	[]	Train
31,868	16	Title: Multimodal Composite Association Score: Measuring Gender Bias in Generative Multimodal Models Abstract: Generative multimodal models based on diffusion models have seen tremendous growth and advances in recent years. Models such as DALL-E and Stable Diffusion have become increasingly popular and successful at cr...	[ 28400, 18314, 30534 ]	Validation
31,869	27	Title: Reshaping Viscoelastic-String Path-Planner (RVP) Abstract: We present Reshaping Viscoelastic-String Path-Planner a Path Planner that reshapes a desired Global Plan for a Robotic Vehicle based on sensor observations of the Environment. We model the path to be a viscoelastic string with shape preserving tendencies...	[]	Train
31,870	16	Title: Shortcut-V2V: Compression Framework for Video-to-Video Translation based on Temporal Redundancy Reduction Abstract: Video-to-video translation aims to generate video frames of a target domain from an input video. Despite its usefulness, the existing networks require enormous computations, necessitating their mod...	[]	Test
31,871	16	Title: Non-Separable Multi-Dimensional Network Flows for Visual Computing Abstract: Flows in networks (or graphs) play a significant role in numerous computer vision tasks. The scalar-valued edges in these graphs often lead to a loss of information and thereby to limitations in terms of expressiveness. For example, oft...	[]	Train
31,872	24	Title: Efficient Lipschitzian Global Optimization of Hölder Continuous Multivariate Functions Abstract: This study presents an effective global optimization technique designed for multivariate functions that are H\"older continuous. Unlike traditional methods that construct lower bounding proxy functions, this algorith...	[]	Train
31,873	30	Title: Typhoon: Towards an Effective Task-Specific Masking Strategy for Pre-trained Language Models Abstract: Through exploiting a high level of parallelism enabled by graphics processing units, transformer architectures have enabled tremendous strides forward in the field of natural language processing. In a tradition...	[ 33220 ]	Train
31,874	24	Title: Derivative-based Shapley value for global sensitivity analysis and machine learning explainability Abstract: We introduce a new Shapley value approach for global sensitivity analysis and machine learning explainability. The method is based on the first-order partial derivatives of the underlying function. The co...	[]	Validation
31,875	24	Title: CLCLSA: Cross-omics Linked embedding with Contrastive Learning and Self Attention for multi-omics integration with incomplete multi-omics data Abstract: Integration of heterogeneous and high-dimensional multi-omics data is becoming increasingly important in understanding genetic data. Each omics technique only p...	[]	Train
31,876	24	Title: Deep Occupancy-Predictive Representations for Autonomous Driving Abstract: Manually specifying features that capture the diversity in traffic environments is impractical. Consequently, learning-based agents cannot realize their full potential as neural motion planners for autonomous vehicles. Instead, this work ...	[ 20773 ]	Train
31,877	37	Title: On Distribution Dependent Sub-Logarithmic Query Time of Learned Indexing Abstract: A fundamental problem in data management is to find the elements in an array that match a query. Recently, learned indexes are being extensively used to solve this problem, where they learn a model to predict the location of the i...	[]	Train

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