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
28,778	6	Title: Towards Inclusive Fairness Evaluation via Eliciting Disagreement Feedback from Non-Expert Stakeholders Abstract: Traditional algorithmic fairness notions rely on label feedback, which can only be elicited from expert critics. However, in most practical applications, several non-expert stakeholders also play a ma...	[ 1784 ]	Train
28,779	16	Title: Alphazzle: Jigsaw Puzzle Solver with Deep Monte-Carlo Tree Search Abstract: Solving jigsaw puzzles requires to grasp the visual features of a sequence of patches and to explore efficiently a solution space that grows exponentially with the sequence length. Therefore, visual deep reinforcement learning (DRL) shou...	[]	Validation
28,780	16	Title: Towards Evaluating Explanations of Vision Transformers for Medical Imaging Abstract: As deep learning models increasingly find applications in critical domains such as medical imaging, the need for transparent and trustworthy decision-making becomes paramount. Many explainability methods provide insights into ho...	[]	Test
28,781	26	Title: Link prediction for ex ante influence maximization on temporal networks Abstract: Influence maximization (IM) is the task of finding the most important nodes in order to maximize the spread of influence or information on a network. This task is typically studied on static or temporal networks where the complete ...	[ 22979 ]	Train
28,782	16	Title: Sample Less, Learn More: Efficient Action Recognition via Frame Feature Restoration Abstract: Training an effective video action recognition model poses significant computational challenges, particularly under limited resource budgets. Current methods primarily aim to either reduce model size or utilize pre-trai...	[ 10624, 37070, 33782 ]	Test
28,783	4	Title: Software supply chain: review of attacks, risk assessment strategies and security controls Abstract: The software product is a source of cyber-attacks that target organizations by using their software supply chain as a distribution vector. As the reliance of software projects on open-source or proprietary module...	[ 32024 ]	Train
28,784	24	Title: Training-free Neural Architecture Search for RNNs and Transformers Abstract: Neural architecture search (NAS) has allowed for the automatic creation of new and effective neural network architectures, offering an alternative to the laborious process of manually designing complex architectures. However, traditiona...	[]	Test
28,785	16	Title: STEP - Towards Structured Scene-Text Spotting Abstract: We introduce the structured scene-text spotting task, which requires a scene-text OCR system to spot text in the wild according to a query regular expression. Contrary to generic scene text OCR, structured scene-text spotting seeks to dynamically condition ...	[]	Validation
28,786	28	Title: Efficient Alternating Minimization Solvers for Wyner Multi-View Unsupervised Learning Abstract: In this work, we adopt Wyner common information framework for unsupervised multi-view representation learning. Within this framework, we propose two novel formulations that enable the development of computational effi...	[]	Test
28,787	27	Title: Static-Equilibrium Oriented Interaction Force Modeling and Control of Aerial Manipulation with Uni-Directional Thrust Multirotors Abstract: This paper presents a static-equilibrium oriented interaction force modeling and control approach of aerial manipulation employing uni-directional thrust (UDT) multirotors i...	[]	Test
28,788	30	Title: CHiLL: Zero-shot Custom Interpretable Feature Extraction from Clinical Notes with Large Language Models Abstract: Large Language Models (LLMs) have yielded fast and dramatic progress in NLP, and now offer strong few- and zero-shot capabilities on new tasks, reducing the need for annotation. This is especially ex...	[ 14032 ]	Train
28,789	27	Title: A Policy Adaptation Method for Implicit Multitask Reinforcement Learning Problems Abstract: In dynamic motion generation tasks, including contact and collisions, small changes in policy parameters can lead to extremely different returns. For example, in soccer, the ball can fly in completely different directions...	[]	Train
28,790	16	Title: QuickQual: Lightweight, convenient retinal image quality scoring with off-the-shelf pretrained models Abstract: Image quality remains a key problem for both traditional and deep learning (DL)-based approaches to retinal image analysis, but identifying poor quality images can be time consuming and subjective. Thu...	[]	Train
28,791	24	Title: JoinGym: An Efficient Query Optimization Environment for Reinforcement Learning Abstract: In this paper, we present \textsc{JoinGym}, an efficient and lightweight query optimization environment for reinforcement learning (RL). Join order selection (JOS) is a classic NP-hard combinatorial optimization problem fro...	[ 24355, 32021 ]	Validation
28,792	2	Title: Going Deep and Going Wide: Counting Logic and Homomorphism Indistinguishability over Graphs of Bounded Treedepth and Treewidth Abstract: We study the expressive power of first-order logic with counting quantifiers, especially the $k$-variable and quantifier-rank-$q$ fragment $\mathsf{C}^k_q$, using homomorphism ...	[ 31492 ]	Train
28,793	16	Title: A real-time algorithm for human action recognition in RGB and thermal video Abstract: Monitoring the movement and actions of humans in video in real-time is an important task. We present a deep learning based algorithm for human action recognition for both RGB and thermal cameras. It is able to detect and track ...	[]	Train
28,794	24	Title: On Interpolating Experts and Multi-Armed Bandits Abstract: Learning with expert advice and multi-armed bandit are two classic online decision problems which differ on how the information is observed in each round of the game. We study a family of problems interpolating the two. For a vector $\mathbf{m}=(m_1,\dot...	[ 41137, 29593, 30091 ]	Train
28,795	24	Title: Vision Through the Veil: Differential Privacy in Federated Learning for Medical Image Classification Abstract: The proliferation of deep learning applications in healthcare calls for data aggregation across various institutions, a practice often associated with significant privacy concerns. This concern intensif...	[]	Train
28,796	24	Title: Uncertainty Quantification for Local Model Explanations Without Model Access Abstract: We present a model-agnostic algorithm for generating post-hoc explanations and uncertainty intervals for a machine learning model when only a static sample of inputs and outputs from the model is available, rather than direct ...	[]	Train
28,797	24	Title: Policy Gradient Methods in the Presence of Symmetries and State Abstractions Abstract: Reinforcement learning on high-dimensional and complex problems relies on abstraction for improved efficiency and generalization. In this paper, we study abstraction in the continuous-control setting, and extend the definition...	[]	Validation
28,798	39	Title: Signed double Roman domination on cubic graphs Abstract: The signed double Roman domination problem is a combinatorial optimization problem on a graph asking to assign a label from $\{\pm{}1,2,3\}$ to each vertex feasibly, such that the total sum of assigned labels is minimized. Here feasibility is given wheneve...	[]	Train
28,799	30	Title: Retrieving Texts based on Abstract Descriptions Abstract: In this work, we aim to connect two research areas: instruction models and retrieval-based models. While instruction-tuned Large Language Models (LLMs) excel at extracting information from text, they are not suitable for semantic retrieval. Similarity sea...	[ 9509 ]	Validation
28,800	7	Title: An efficient mass lumping scheme for isogeometric analysis based on approximate dual basis functions Abstract: In this contribution, we provide a new mass lumping scheme for explicit dynamics in isogeometric analysis (IGA). To this end, an element formulation based on the idea of dual functionals is developed. N...	[ 29843 ]	Train
28,801	30	Title: Uncertainty-Aware Natural Language Inference with Stochastic Weight Averaging Abstract: This paper introduces Bayesian uncertainty modeling using Stochastic Weight Averaging-Gaussian (SWAG) in Natural Language Understanding (NLU) tasks. We apply the approach to standard tasks in natural language inference (NLI) ...	[ 18564 ]	Train
28,802	24	Title: When Are Two Lists Better than One?: Benefits and Harms in Joint Decision-making Abstract: Historically, much of machine learning research has focused on the performance of the algorithm alone, but recently more attention has been focused on optimizing joint human-algorithm performance. Here, we analyze a specif...	[ 5600, 24129, 21605, 19275, 27188 ]	Validation
28,803	16	Title: Delving into Motion-Aware Matching for Monocular 3D Object Tracking Abstract: Recent advances of monocular 3D object detection facilitate the 3D multi-object tracking task based on low-cost camera sensors. In this paper, we find that the motion cue of objects along different time frames is critical in 3D multi-o...	[ 36257 ]	Train
28,804	11	Title: Consensus-based Participatory Budgeting for Legitimacy: Decision Support via Multi-agent Reinforcement Learning Abstract: The legitimacy of bottom-up democratic processes for the distribution of public funds by policy-makers is challenging and complex. Participatory budgeting is such a process, where voting outc...	[ 23176, 19910 ]	Test
28,805	30	Title: Mitigating Language Model Hallucination with Interactive Question-Knowledge Alignment Abstract: Despite the remarkable recent advances in language models, they still struggle with the hallucination problem and can generate misleading and unsupported responses. A common approach to mitigate the hallucination issu...	[ 21127, 37360, 22422, 38102, 29755, 35580, 2779, 42747 ]	Train
28,806	28	Title: Computing Unique Information for Poisson and Multinomial Systems Abstract: Bivariate Partial Information Decomposition (PID) describes how the mutual information between a random variable M and two random variables Y and Z is decomposed into unique, redundant, and synergistic terms. Recently, PID has shown promi...	[ 26538 ]	Validation
28,807	30	Title: Open, Closed, or Small Language Models for Text Classification? Abstract: Recent advancements in large language models have demonstrated remarkable capabilities across various NLP tasks. But many questions remain, including whether open-source models match closed ones, why these models excel or struggle with cer...	[ 36738, 40610, 13700, 20710, 17606, 44361, 25071 ]	Validation
28,808	27	Title: A Hierarchical Hybrid Learning Framework for Multi-agent Trajectory Prediction Abstract: Accurate and robust trajectory prediction of neighboring agents is critical for autonomous vehicles traversing in complex scenes. Most methods proposed in recent years are deep learning-based due to their strength in encodin...	[]	Test
28,809	30	Title: Unlimiformer: Long-Range Transformers with Unlimited Length Input Abstract: Since the proposal of transformers, these models have been limited to bounded input lengths, because of their need to attend to every token in the input. In this work, we propose Unlimiformer: a general approach that wraps any existing p...	[ 27936, 11745, 27801, 15973, 12957, 425, 38253, 42574, 41453, 41392, 37971, 32407, 4761, 43196, 2013 ]	Train
28,810	27	Title: Fillet-based RRT∗\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\text {RRT}^{*}$$\end{document}: A Rapid Convergence Abstract: na...	[]	Train
28,811	6	Title: Metacognition and Motivation: The Role of Time-Awareness in Preparation for Future Learning Abstract: In this work, we investigate how two factors, metacognitive skills and motivation, would impact student learning across domains. More specifically, our primary goal is to identify the critical, yet robust, inter...	[ 27554, 34452, 43823, 38919 ]	Validation
28,812	24	Title: Bayesian polynomial neural networks and polynomial neural ordinary differential equations Abstract: Symbolic regression with polynomial neural networks and polynomial neural ordinary differential equations (ODEs) are two recent and powerful approaches for equation recovery of many science and engineering problem...	[ 28720 ]	Train
28,813	10	Title: EFOk-CQA: Towards Knowledge Graph Complex Query Answering beyond Set Operation Abstract: To answer complex queries on knowledge graphs, logical reasoning over incomplete knowledge is required due to the open-world assumption. Learning-based methods are essential because they are capable of generalizing over unob...	[ 16049, 33892, 15293 ]	Train
28,814	15	Title: AutoMM: Energy-Efficient Multi-Data-Type Matrix Multiply Design on Heterogeneous Programmable System-on-Chip Abstract: As the increasing complexity of Neural Network(NN) models leads to high demands for computation, AMD introduces a heterogeneous programmable system-on-chip (SoC), i.e., Versal ACAP architectures...	[ 4617 ]	Train
28,815	27	Title: Incipient Slip-Based Rotation Measurement via Visuotactile Sensing During In-Hand Object Pivoting Abstract: In typical in-hand manipulation tasks represented by object pivoting, the real-time perception of rotational slippage has been proven beneficial for improving the dexterity and stability of robotic hands. ...	[ 41420 ]	Train
28,816	16	Title: RobustCLEVR: A Benchmark and Framework for Evaluating Robustness in Object-centric Learning Abstract: Object-centric representation learning offers the potential to overcome limitations of image-level representations by explicitly parsing image scenes into their constituent components. While image-level represen...	[]	Train
28,817	4	Title: TPU as Cryptographic Accelerator Abstract: Polynomials defined on specific rings are heavily involved in various cryptographic schemes, and the corresponding operations are usually the computation bottleneck of the whole scheme. We propose to utilize TPU, an emerging hardware designed for AI applications, to spe...	[ 9610 ]	Test
28,818	7	Title: Nonlinear dynamic analysis of shear- and torsion-free rods using isogeometric discretization, outlier removal and robust time integration Abstract: In this paper, we present a discrete formulation of nonlinear shear- and torsion-free rods based on \cite{gebhardt_2021_beam} that uses isogeometric discretization a...	[]	Validation
28,819	4	Title: Achilles' Heels: Vulnerable Record Identification in Synthetic Data Publishing Abstract: Synthetic data is seen as the most promising solution to share individual-level data while preserving privacy. Shadow modeling-based membership inference attacks (MIAs) have become the standard approach to evaluate the priva...	[ 41657, 11301 ]	Validation
28,820	30	Title: Do you really follow me? Adversarial Instructions for Evaluating the Robustness of Large Language Models Abstract: Large Language Models (LLMs) have shown remarkable proficiency in following instructions, making them valuable in customer-facing applications. However, their impressive capabilities also raise conc...	[ 7648, 13345, 39873, 41122, 13700, 28580, 33220, 4071, 13224, 8853, 21880 ]	Validation
28,821	27	Title: Bayesian Learning for Dynamic Target Localization with Human-provided Spatial Information Abstract: This paper considers a human-autonomy collaborative sensor data fusion for dynamic target localization in a Bayesian framework. To compensate for the shortcomings of an autonomous tracking system, we propose to co...	[]	Validation
28,822	30	Title: TKDP: Threefold Knowledge-enriched Deep Prompt Tuning for Few-shot Named Entity Recognition Abstract: Few-shot named entity recognition (NER) exploits limited annotated instances to identify named mentions. Effectively transferring the internal or external resources thus becomes the key to few-shot NER. While th...	[ 16130, 39919 ]	Train
28,823	10	Title: Spread Control Method on Unknown Networks Based on Hierarchical Reinforcement Learning Abstract: The spread of infectious diseases, rumors, and harmful speech in networks can result in substantial losses, underscoring the significance of studying how to suppress such hazardous events. However, previous studies o...	[]	Train
28,824	24	Title: Interpretable Sparsification of Brain Graphs: Better Practices and Effective Designs for Graph Neural Networks Abstract: Brain graphs, which model the structural and functional relationships between brain regions, are crucial in neuroscientific and clinical applications that can be formulated as graph classifica...	[ 27757 ]	Train
28,825	16	Title: Unposed: Unsupervised Pose Estimation based Product Image Recommendations Abstract: Product images are the most impressing medium of customer interaction on the product detail pages of e-commerce websites. Millions of products are onboarded on to webstore catalogues daily and maintaining a high quality bar for a...	[]	Test
28,826	27	Title: SBlimp: Design, Model, and Translational Motion Control for a Swing-Blimp Abstract: We present an aerial vehicle composed of a custom quadrotor with tilted rotors and a helium balloon, called SBlimp. We propose a novel control strategy that takes advantage of the natural stable attitude of the blimp to control t...	[]	Train
28,827	27	Title: Towards Generalist Robots: A Promising Paradigm via Generative Simulation Abstract: This document serves as a position paper that outlines the authors' vision for a potential pathway towards generalist robots. The purpose of this document is to share the excitement of the authors with the community and highlight...	[ 4481, 13700, 15628, 41104, 37014, 8994, 5539, 15779, 680, 42666, 33715, 436, 15413, 44726, 16823, 33853, 1854, 10943, 26562, 30402, 33220, 13510, 10831, 21457, 25816, 40281, 5481, 16619, 17526, 634, 22518, 23545, 14842, 13564, 28414 ]	Train
28,828	27	Title: A Hybrid Adaptive Controller for Soft Robot Interchangeability Abstract: Soft robots have been leveraged in considerable areas like surgery, rehabilitation, and bionics due to their softness, flexibility, and safety. However, it is challenging to produce two same soft robots even with the same mold and manufactu...	[ 2648, 7402, 19348 ]	Validation
28,829	24	Title: Exploring Complex Dynamical Systems via Nonconvex Optimization Abstract: Cataloging the complex behaviors of dynamical systems can be challenging, even when they are well-described by a simple mechanistic model. If such a system is of limited analytical tractability, brute force simulation is often the only reso...	[]	Train
28,830	27	Title: A Supervisory Learning Control Framework for Autonomous & Real-time Task Planning for an Underactuated Cooperative Robotic task Abstract: We introduce a framework for cooperative manipulation, applied on an underactuated manipulation problem. Two stationary robotic manipulators are required to cooperate in order...	[]	Train
28,831	24	Title: Robust Distortion-free Watermarks for Language Models Abstract: We propose a methodology for planting watermarks in text from an autoregressive language model that are robust to perturbations without changing the distribution over text up to a certain maximum generation budget. We generate watermarked text by ma...	[ 1416, 38235, 18134 ]	Train
28,832	13	Title: Discovering Attention-Based Genetic Algorithms via Meta-Black-Box Optimization Abstract: Genetic algorithms constitute a family of black-box optimization algorithms, which take inspiration from the principles of biological evolution. While they provide a general-purpose tool for optimization, their particular in...	[ 241, 20929, 1229 ]	Train
28,833	16	Title: SkipcrossNets: Adaptive Skip-cross Fusion for Road Detection Abstract: Multi-modal fusion is increasingly being used for autonomous driving tasks, as images from different modalities provide unique information for feature extraction. However, the existing two-stream networks are only fused at a specific network ...	[]	Test
28,834	3	Title: Mixed-model Sequencing with Stochastic Failures: A Case Study for Automobile Industry Abstract: In the automotive industry, the sequence of vehicles to be produced is determined ahead of the production day. However, there are some vehicles, failed vehicles, that cannot be produced due to some reasons such as mat...	[]	Train
28,835	2	Title: Proving Almost-Sure Innermost Termination of Probabilistic Term Rewriting Using Dependency Pairs Abstract: Dependency pairs are one of the most powerful techniques to analyze termination of term rewrite systems (TRSs) automatically. We adapt the dependency pair framework to the probabilistic setting in order to ...	[ 23040 ]	Train
28,836	24	Title: Information Fusion for Assistance Systems in Production Assessment Abstract: We propose a novel methodology to define assistance systems that rely on information fusion to combine different sources of information while providing an assessment. The main contribution of this paper is providing a general framework ...	[]	Train
28,837	24	Title: LSTM-Based Forecasting Model for GRACE Accelerometer Data Abstract: The Gravity Recovery and Climate Experiment (GRACE) satellite mission, spanning from 2002 to 2017, has provided a valuable dataset for monitoring variations in Earth's gravity field, enabling diverse applications in geophysics and hydrology. The...	[]	Train
28,838	24	Title: Cross-Domain Policy Adaptation via Value-Guided Data Filtering Abstract: Generalizing policies across different domains with dynamics mismatch poses a significant challenge in reinforcement learning. For example, a robot learns the policy in a simulator, but when it is deployed in the real world, the dynamics of...	[ 15201 ]	Train
28,839	16	Title: A2Nav: Action-Aware Zero-Shot Robot Navigation by Exploiting Vision-and-Language Ability of Foundation Models Abstract: We study the task of zero-shot vision-and-language navigation (ZS-VLN), a practical yet challenging problem in which an agent learns to navigate following a path described by language instructi...	[ 16232, 40202, 19719, 18007 ]	Train
28,840	24	Title: ProGAP: Progressive Graph Neural Networks with Differential Privacy Guarantees Abstract: Graph Neural Networks (GNNs) have become a popular tool for learning on graphs, but their widespread use raises privacy concerns as graph data can contain personal or sensitive information. Differentially private GNN models ...	[ 34218 ]	Train
28,841	31	Title: Adaptive Graph Contrastive Learning for Recommendation Abstract: Graph neural networks (GNNs) have recently emerged as an effective collaborative filtering (CF) approaches for recommender systems. The key idea of GNN-based recommender systems is to recursively perform message passing along user-item interaction ...	[ 1059, 23375, 20982, 5559, 9150 ]	Validation
28,842	27	Title: Direct Robot Configuration Space Construction using Convolutional Encoder-Decoders Abstract: Intelligent robots must be able to perform safe and efficient motion planning in their environments. Central to modern motion planning is the configuration space. Configuration spaces define the set of configurations of ...	[]	Train
28,843	23	Title: Studying Logging Practice in Machine Learning-based Applications Abstract: Logging is a common practice in traditional software development. Several research works have been done to investigate the different characteristics of logging practices in traditional software systems (e.g., Android applications, JAVA ap...	[]	Test
28,844	16	Title: Spatiotemporal Deformation Perception for Fisheye Video Rectification Abstract: Although the distortion correction of fisheye images has been extensively studied, the correction of fisheye videos is still an elusive challenge. For different frames of the fisheye video, the existing image correction methods ignor...	[]	Train
28,845	24	Title: The Role of Codeword-to-Class Assignments in Error-Correcting Codes: An Empirical Study Abstract: Error-correcting codes (ECC) are used to reduce multiclass classification tasks to multiple binary classification subproblems. In ECC, classes are represented by the rows of a binary matrix, corresponding to codewor...	[]	Train
28,846	24	Title: Optimal Bandwidth Selection for DENCLUE Algorithm Abstract: In modern day industry, clustering algorithms are daily routines of algorithm engineers. Although clustering algorithms experienced rapid growth before 2010, innovation related to the research topic has stagnated after deep learning became the de facto ...	[]	Train
28,847	27	Title: Efficient Skill Acquisition for Complex Manipulation Tasks in Obstructed Environments Abstract: Data efficiency in robotic skill acquisition is crucial for operating robots in varied small-batch assembly settings. To operate in such environments, robots must have robust obstacle avoidance and versatile goal cond...	[ 23246 ]	Train
28,848	31	Title: Opportunities and challenges of ChatGPT for design knowledge management Abstract: Recent advancements in Natural Language Processing have opened up new possibilities for the development of large language models like ChatGPT, which can facilitate knowledge management in the design process by providing designers w...	[ 18250 ]	Train
28,849	30	Title: A Dataset and Strong Baselines for Classification of Czech News Texts Abstract: Pre-trained models for Czech Natural Language Processing are often evaluated on purely linguistic tasks (POS tagging, parsing, NER) and relatively simple classification tasks such as sentiment classification or article classification...	[]	Train
28,850	24	Title: Matrix Estimation for Individual Fairness Abstract: In recent years, multiple notions of algorithmic fairness have arisen. One such notion is individual fairness (IF), which requires that individuals who are similar receive similar treatment. In parallel, matrix estimation (ME) has emerged as a natural paradigm ...	[]	Train
28,851	16	Title: DebSDF: Delving into the Details and Bias of Neural Indoor Scene Reconstruction Abstract: In recent years, the neural implicit surface has emerged as a powerful representation for multi-view surface reconstruction due to its simplicity and state-of-the-art performance. However, reconstructing smooth and detailed...	[ 2908, 19781 ]	Train
28,852	10	Title: How Many Demonstrations Do You Need for In-context Learning? Abstract: Large language models (LLMs) are capable to perform complex reasoning by in-context learning (ICL) when provided with a few input-output demonstrations (demos) and more powerful when intermediate reasoning steps ("chain of thoughts (CoT)") of...	[ 26578, 12957 ]	Validation
28,853	4	Title: A Trajectory K-Anonymity Model Based on Point Density and Partition Abstract: As people's daily life becomes increasingly inseparable from various mobile electronic devices, relevant service application platforms and network operators can collect numerous individual information easily. When releasing these data ...	[]	Test
28,854	16	Title: RAMiT: Reciprocal Attention Mixing Transformer for Lightweight Image Restoration Abstract: Although many recent works have made advancements in the image restoration (IR) field, they often suffer from an excessive number of parameters. Another issue is that most Transformer-based IR methods focus only on either ...	[ 35672, 3565, 5878, 18999 ]	Train
28,855	16	Title: Efficient Subclass Segmentation in Medical Images Abstract: As research interests in medical image analysis become increasingly fine-grained, the cost for extensive annotation also rises. One feasible way to reduce the cost is to annotate with coarse-grained superclass labels while using limited fine-grained ann...	[]	Train
28,856	27	Title: Loss of Distributed Coverage Using Lazy Agents Operating Under Discrete, Local, Event-Triggered Communication Abstract: Continuous surveillance of a spatial region using distributed robots and sensors is a well-studied application in the area of multi-agent systems. This paper investigates a practically-relevant...	[]	Test
28,857	6	Title: Preliminary Results from a U.S. Demographic Analysis of SMiSh Susceptibility Abstract: As adoption of mobile phones has skyrocketed, so have scams involving them. The text method is called SMiShing, (aka SMShing, or smishing) in which a fraudster sends a phishing link via Short Message Service (SMS) text to a ph...	[]	Train
28,858	30	Title: Comparative Analysis of Libraries for the Sentimental Analysis Abstract: This study is main goal is to provide a comparative comparison of libraries using machine learning methods. Experts in natural language processing (NLP) are becoming more and more interested in sentiment analysis (SA) of text changes. The o...	[ 19545 ]	Train
28,859	16	Title: Density-Insensitive Unsupervised Domain Adaption on 3D Object Detection Abstract: 3D object detection from point clouds is crucial in safety-critical autonomous driving. Although many works have made great efforts and achieved significant progress on this task, most of them suffer from expensive annotation cost ...	[ 30113, 41730 ]	Train
28,860	4	Title: Digital Inheritance in Web3: A Case Study of Soulbound Tokens and the Social Recovery Pallet within the Polkadot and Kusama Ecosystems Abstract: — In recent years, discussions centered around digital inheritance have increased among social media users and across blockchain ecosystems. As a result, digital assets...	[]	Train
28,861	30	Title: Topic Segmentation Model Focusing on Local Context Abstract: Topic segmentation is important in understanding scientific documents since it can not only provide better readability but also facilitate downstream tasks such as information retrieval and question answering by creating appropriate sections or paragra...	[]	Train
28,862	23	Title: Assess and Summarize: Improve Outage Understanding with Large Language Models Abstract: Cloud systems have become increasingly popular in recent years due to their flexibility and scalability. Each time cloud computing applications and services hosted on the cloud are affected by a cloud outage, users can experi...	[ 9184, 17801 ]	Train
28,863	39	Title: Graph Search Trees and Their Leaves Abstract: Graph searches and their respective search trees are widely used in algorithmic graph theory. The problem whether a given spanning tree can be a graph search tree has been considered for different searches, graph classes and search tree paradigms. Similarly, the ques...	[]	Train
28,864	16	Title: Towards Building Self-Aware Object Detectors via Reliable Uncertainty Quantification and Calibration Abstract: The current approach for testing the robustness of object detectors suffers from serious deficiencies such as improper methods of performing out-of-distribution detection and using calibration metrics w...	[ 24008 ]	Train
28,865	16	Title: FInC Flow: Fast and Invertible k×k Convolutions for Normalizing Flows Abstract: Invertible convolutions have been an essential element for building expressive normalizing flow-based generative models since their introduction in Glow. Several attempts have been made to design invertible $k \times k$ convolutions ...	[]	Test
28,866	8	Title: MINDFul.jl: A Framework for Intent-driven Multi-Domain Network coordination Abstract: Network coordination across multiple domains is a complex task requiring seamless communication between network entities. Network operators target to minimize costs while ensuring the requirements of the user requests. Such eff...	[ 2718 ]	Validation
28,867	27	Title: Control Input Inference of Mobile Agents under Unknown Objective Abstract: Trajectory and control secrecy is an important issue in robotics security. This paper proposes a novel algorithm for the control input inference of a mobile agent without knowing its control objective. Specifically, the algorithm first es...	[]	Test
28,868	31	Title: An In-depth Investigation of User Response Simulation for Conversational Search Abstract: Conversational search has seen increased recent attention in both the IR and NLP communities. It seeks to clarify and solve a user's search need through multi-turn natural language interactions. However, most existing syste...	[ 4409, 33220, 19381 ]	Validation
28,869	4	Title: AI Security Threats against Pervasive Robotic Systems: A Course for Next Generation Cybersecurity Workforce Abstract: Robotics, automation, and related Artificial Intelligence (AI) systems have become pervasive bringing in concerns related to security, safety, accuracy, and trust. With growing dependency on phys...	[]	Test
28,870	16	Title: Q2ATransformer: Improving Medical VQA via an Answer Querying Decoder Abstract: Medical Visual Question Answering (VQA) systems play a supporting role to understand clinic-relevant information carried by medical images. The questions to a medical image include two categories: close-end (such as Yes/No question) a...	[ 15997, 5205 ]	Train
28,871	30	Title: Self-Supervised Sentence Compression for Meeting Summarization Abstract: The conventional summarization model often fails to capture critical information in meeting transcripts, as meeting corpus usually involves multiple parties with lengthy conversations and is stuffed with redundant and trivial content. To ta...	[]	Train
28,872	26	Title: Network Sparsification via Degree- and Subgraph-based Edge Sampling Abstract: Network (or graph) sparsification compresses a graph by removing inessential edges. By reducing the data volume, it accelerates or even facilitates many downstream analyses. Still, the accuracy of many sparsification methods, with filt...	[]	Validation
28,873	8	Title: RCS-based Quasi-Deterministic Ray Tracing for Statistical Channel Modeling Abstract: This paper presents a quasi-deterministic ray tracing (QD-RT) method for analyzing the propagation of electromagnetic waves in street canyons. The method uses a statistical bistatic distribution to model the Radar Cross Section ...	[]	Train
28,874	30	Title: Learning to Rank Hypernyms of Financial Terms Using Semantic Textual Similarity Abstract: nan	[]	Train
28,875	16	Title: DiffIR: Efficient Diffusion Model for Image Restoration Abstract: Diffusion model (DM) has achieved SOTA performance by modeling the image synthesis process into a sequential application of a denoising network. However, different from image synthesis, image restoration (IR) has a strong constraint to generate re...	[ 40647, 13582, 500, 1082, 25498 ]	Validation
28,876	24	Title: Learning Manifold Dimensions with Conditional Variational Autoencoders Abstract: Although the variational autoencoder (VAE) and its conditional extension (CVAE) are capable of state-of-the-art results across multiple domains, their precise behavior is still not fully understood, particularly in the context of da...	[ 5466 ]	Test
28,877	24	Title: BuildingsBench: A Large-Scale Dataset of 900K Buildings and Benchmark for Short-Term Load Forecasting Abstract: Short-term forecasting of residential and commercial building energy consumption is widely used in power systems and continues to grow in importance. Data-driven short-term load forecasting (STLF), alt...	[]	Train

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