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
37,978	24	Title: Self-Supervised Pretraining on Paired Sequences of fMRI Data for Transfer Learning to Brain Decoding Tasks Abstract: In this work we introduce a self-supervised pretraining framework for transformers on functional Magnetic Resonance Imaging (fMRI) data. First, we pretrain our architecture on two self-supervised ...	[]	Train
37,979	30	Title: MemeCap: A Dataset for Captioning and Interpreting Memes Abstract: Memes are a widely popular tool for web users to express their thoughts using visual metaphors. Understanding memes requires recognizing and interpreting visual metaphors with respect to the text inside or around the meme, often while employing b...	[ 10624, 22722, 13700, 36522, 41104, 40884, 8535, 6328, 45242 ]	Train
37,980	37	Title: Learning to Optimize LSM-trees: Towards A Reinforcement Learning based Key-Value Store for Dynamic Workloads Abstract: LSM-trees are widely adopted as the storage backend of key-value stores. However, optimizing the system performance under dynamic workloads has not been sufficiently studied or evaluated in prev...	[]	Train
37,981	16	Title: Where We Are and What We're Looking At: Query Based Worldwide Image Geo-localization Using Hierarchies and Scenes Abstract: Determining the exact latitude and longitude that a photo was taken is a useful and widely applicable task, yet it remains exceptionally difficult despite the accelerated progress of other ...	[]	Test
37,982	16	Title: Dyna-DepthFormer: Multi-frame Transformer for Self-Supervised Depth Estimation in Dynamic Scenes Abstract: Self-supervised methods have showed promising results on depth estimation task. However, previous methods estimate the target depth map and camera ego-motion simultaneously, underusing multi-frame correlati...	[ 2497 ]	Train
37,983	24	Title: From Group-Differences to Single-Subject Probability: Conformal Prediction-based Uncertainty Estimation for Brain-Age Modeling Abstract: The brain-age gap is one of the most investigated risk markers for brain changes across disorders. While the field is progressing towards large-scale models, recently incorpora...	[]	Train
37,984	3	Title: Metapopulation Graph Neural Networks: Deep Metapopulation Epidemic Modeling with Human Mobility Abstract: nan	[]	Train
37,985	24	Title: Understanding Label Bias in Single Positive Multi-Label Learning Abstract: Annotating data for multi-label classification is prohibitively expensive because every category of interest must be confirmed to be present or absent. Recent work on single positive multi-label (SPML) learning shows that it is possible t...	[ 20121 ]	Test
37,986	24	Title: Optimal partition of feature using Bayesian classifier Abstract: The Naive Bayesian classifier is a popular classification method employing the Bayesian paradigm. The concept of having conditional dependence among input variables sounds good in theory but can lead to a majority vote style behaviour. Achieving co...	[]	Train
37,987	16	Title: Visual Instruction Tuning Abstract: Instruction tuning large language models (LLMs) using machine-generated instruction-following data has improved zero-shot capabilities on new tasks, but the idea is less explored in the multimodal field. In this paper, we present the first attempt to use language-only GPT-4 to...	[ 5123, 5, 27144, 25097, 34314, 35855, 5649, 8210, 3609, 30745, 24607, 13345, 30243, 11815, 1064, 17968, 15413, 19509, 45116, 25155, 5700, 19013, 14923, 24653, 14928, 9810, 21078, 5720, 13408, 9825, 29280, 3178, 31850, 13935, 6770, 5236, 19066, ...	Validation
37,988	16	Title: Area is all you need: repeatable elements make stronger adversarial attacks Abstract: Over the last decade, deep neural networks have achieved state of the art in computer vision tasks. These models, however, are susceptible to unusual inputs, known as adversarial examples, that cause them to misclassify or othe...	[]	Train
37,989	28	Title: Randomized Decoding of Linearized Reed–Solomon Codes Beyond the Unique Decoding Radius Abstract: In this paper we address the problem of decoding linearized Reed–Solomon (LRS) codes beyond their unique decoding radius. We analyze the complexity in order to evaluate if the considered problem is of cryptographic r...	[]	Train
37,990	24	Title: Transformer Encoder with Multiscale Deep Learning for Pain Classification Using Physiological Signals Abstract: Pain is a serious worldwide health problem that affects a vast proportion of the population. For efficient pain management and treatment, accurate classification and evaluation of pain severity are nec...	[]	Test
37,991	27	Title: Discrete States-Based Trajectory Planning for Nonholonomic Robots Abstract: Due to nonholonomic dynamics, the motion planning of nonholonomic robots is always a difficult problem. This letter presents a Discrete States-based Trajectory Planning(DSTP) algorithm for autonomous nonholonomic robots. The proposed alg...	[]	Train
37,992	37	Title: A Generic Framework for Hidden Markov Models on Biomedical Data Abstract: Background: Biomedical data are usually collections of longitudinal data assessed at certain points in time. Clinical observations assess the presences and severity of symptoms, which are the basis for description and modeling of disease p...	[]	Train
37,993	24	Title: Branched Latent Neural Operators Abstract: We introduce Branched Latent Neural Operators (BLNOs) to learn input-output maps encoding complex physical processes. A BLNO is defined by a simple and compact feedforward partially-connected neural network that structurally disentangles inputs with different intrinsic ...	[ 4798 ]	Validation
37,994	30	Title: Automatic Model Selection with Large Language Models for Reasoning Abstract: Chain-of-Thought and Program-Aided Language Models represent two distinct reasoning methods, each with its own strengths and weaknesses. We demonstrate that it is possible to combine the best of both worlds by using different models for...	[ 40610, 33220, 10502, 43980, 19727, 19472, 1595, 17789 ]	Test
37,995	4	Title: SoK: A Data-driven View on Methods to Detect Reflective Amplification DDoS Attacks Using Honeypots Abstract: In this paper, we revisit the use of honeypots for detecting reflective amplification attacks. These measurement tools require careful design of both data collection and data analysis including cautious t...	[]	Train
37,996	6	Title: WhisperWand: Simultaneous Voice and Gesture Tracking Interface Abstract: This paper presents the design and implementation of WhisperWand , a comprehensive voice and motion tracking interface for voice assistants. Distinct from prior works, WhisperWand is a precise tracking interface that can co-exist with the v...	[]	Validation
37,997	16	Title: Patch-Wise Point Cloud Generation: A Divide-and-Conquer Approach Abstract: A generative model for high-fidelity point clouds is of great importance in synthesizing 3d environments for applications such as autonomous driving and robotics. Despite the recent success of deep generative models for 2d images, it is n...	[ 42686 ]	Train
37,998	24	Title: Logit-Based Ensemble Distribution Distillation for Robust Autoregressive Sequence Uncertainties Abstract: Efficiently and reliably estimating uncertainty is an important objective in deep learning. It is especially pertinent to autoregressive sequence tasks, where training and inference costs are typically very ...	[]	Train
37,999	4	Title: SoK: Cross-Domain MEV Abstract: We examine the current state of the cross-domain world, with particular focus on the protocols being used/planned for use by multi-domain users. We build on existing frameworks for analyzing how MEV is extracted, while also adding a new categorization of intrinsic-extractable valu...	[ 42790, 1143 ]	Train
38,000	16	Title: Physical Adversarial Attacks for Surveillance: A Survey Abstract: Modern automated surveillance techniques are heavily reliant on deep learning methods. Despite the superior performance, these learning systems are inherently vulnerable to adversarial attacks - maliciously crafted inputs that are designed to misl...	[ 30621 ]	Train
38,001	24	Title: Data-Driven Estimation of Heterogeneous Treatment Effects Abstract: Estimating how a treatment affects different individuals, known as heterogeneous treatment effect estimation, is an important problem in empirical sciences. In the last few years, there has been a considerable interest in adapting machine learni...	[]	Train
38,002	30	Title: Semantic Parsing in Limited Resource Conditions Abstract: This thesis explores challenges in semantic parsing, specifically focusing on scenarios with limited data and computational resources. It offers solutions using techniques like automatic data curation, knowledge transfer, active learning, and continual le...	[ 39258 ]	Test
38,003	30	Title: Most Language Models can be Poets too: An AI Writing Assistant and Constrained Text Generation Studio Abstract: Despite rapid advancement in the field of Constrained Natural Language Generation, little time has been spent on exploring the potential of language models which have had their vocabularies lexically, ...	[ 1374 ]	Validation
38,004	30	Title: Learning Language Representations with Logical Inductive Bias Abstract: Transformer architectures have achieved great success in solving natural language tasks, which learn strong language representations from large-scale unlabeled texts. In this paper, we seek to go further beyond and explore a new logical indu...	[]	Train
38,005	24	Title: Adaptive System Identification via Low-Rank Tensor Decomposition Abstract: Tensor-based estimation has been of particular interest of the scientific community for several years now. While showing promising results on system estimation and other tasks, one big downside is the tremendous amount of computational po...	[]	Train
38,006	5	Title: Practice of Alibaba Cloud on Elastic Resource Provisioning for Large-scale Microservices Cluster Abstract: Cloud-native architecture is becoming increasingly crucial for today's cloud computing environments due to the need for speed and flexibility in developing applications. It utilizes microservice technology ...	[]	Test
38,007	24	Title: Deep Learning Models for Flood Predictions in South Florida Abstract: Simulating and predicting water levels in river systems is essential for flood warnings, hydraulic operations, and flood mitigations. In the engineering field, tools such as HEC-RAS, MIKE, and SWMM are used to build detailed physics-based hydr...	[ 15842 ]	Train
38,008	16	Title: Line Graphics Digitization: A Step Towards Full Automation Abstract: The digitization of documents allows for wider accessibility and reproducibility. While automatic digitization of document layout and text content has been a long-standing focus of research, this problem in regard to graphical elements, such as...	[]	Test
38,009	24	Title: Learning Universal and Robust 3D Molecular Representations with Graph Convolutional Networks Abstract: To learn accurate representations of molecules, it is essential to consider both chemical and geometric features. To encode geometric information, many descriptors have been proposed in constrained circumstance...	[]	Test
38,010	16	Title: Multimodal Contrastive Learning and Tabular Attention for Automated Alzheimer's Disease Prediction Abstract: Alongside neuroimaging such as MRI scans and PET, Alzheimer's disease (AD) datasets contain valuable tabular data including AD biomarkers and clinical assessments. Existing computer vision approaches stru...	[]	Train
38,011	16	Title: Prompting Large Language Models with Answer Heuristics for Knowledge-Based Visual Question Answering Abstract: Knowledge-based visual question answering (VQA) requires external knowledge beyond the image to answer the question. Early studies retrieve required knowledge from explicit knowledge bases (KBs), which ...	[ 12706, 45605, 37227, 32947, 32669 ]	Train
38,012	30	Title: Fuzzy Alignments in Directed Acyclic Graph for Non-Autoregressive Machine Translation Abstract: Non-autoregressive translation (NAT) reduces the decoding latency but suffers from performance degradation due to the multi-modality problem. Recently, the structure of directed acyclic graph has achieved great succes...	[ 21047 ]	Validation
38,013	23	Title: Self-Supervised Query Reformulation for Code Search Abstract: Automatic query reformulation is a widely utilized technology for enriching user requirements and enhancing the outcomes of code search. It can be conceptualized as a machine translation task, wherein the objective is to rephrase a given query into a ...	[]	Train
38,014	18	Title: Reimagining Sense Amplifiers: Harnessing Phase Transition Materials for Current and Voltage Sensing Abstract: Energy-efficient sense amplifier (SA) circuits are essential for reliable detection of stored memory states in emerging memory systems. In this work, we present four novel sense amplifier (SA) topologies...	[]	Test
38,015	16	Title: SelfClean: A Self-Supervised Data Cleaning Strategy Abstract: Most commonly used benchmark datasets for computer vision contain irrelevant images, near duplicates, and label errors. Consequently, model performance on these benchmarks may not be an accurate estimate of generalization ability. This is a particular...	[ 4643, 35060, 5454, 10375 ]	Validation
38,016	4	Title: Towards a Privacy-Preserving Dispute Resolution Protocol on Ethereum Abstract: We present a new dispute resolution protocol that can be built on the Ethereum blockchain. Unlike existing applications like Kleros, privacy is ensured by design through the use of the zero-knowledge protocols Semaphore and MACI (Mini...	[]	Test
38,017	16	Title: Multi-view 3D Object Reconstruction and Uncertainty Modelling with Neural Shape Prior Abstract: 3D object reconstruction is important for semantic scene understanding. It is challenging to reconstruct detailed 3D shapes from monocular images directly due to a lack of depth information, occlusion and noise. Most ...	[ 9707, 33277 ]	Train
38,018	24	Title: Structural Credit Assignment with Coordinated Exploration Abstract: A biologically plausible method for training an Artificial Neural Network (ANN) involves treating each unit as a stochastic Reinforcement Learning (RL) agent, thereby considering the network as a team of agents. Consequently, all units can learn...	[]	Test
38,019	24	Title: On Penalty-based Bilevel Gradient Descent Method Abstract: Bilevel optimization enjoys a wide range of applications in hyper-parameter optimization, meta-learning and reinforcement learning. However, bilevel optimization problems are difficult to solve. Recent progress on scalable bilevel algorithms mainly focus...	[ 42865, 3653 ]	Test
38,020	28	Title: Robust Transceiver Design for Covert Integrated Sensing and Communications With Imperfect CSI Abstract: We propose a robust transceiver design for a covert integrated sensing and communications (ISAC) system with imperfect channel state information (CSI). Considering both bounded and probabilistic CSI error mode...	[]	Train
38,021	30	Title: CORE-GPT: Combining Open Access research and large language models for credible, trustworthy question answering Abstract: In this paper, we present CORE-GPT, a novel question-answering platform that combines GPT-based language models and more than 32 million full-text open access scientific articles from CORE. W...	[ 40192 ]	Train
38,022	27	Title: Shared Telemanipulation with VR controllers in an anti slosh scenario Abstract: Telemanipulation has become a promising technology that combines human intelligence with robotic capabilities to perform tasks remotely. However, it faces several challenges such as insufficient transparency, low immersion, and limit...	[]	Train
38,023	31	Title: Bert4XMR: Cross-Market Recommendation with Bidirectional Encoder Representations from Transformer Abstract: Real-world multinational e-commerce companies, such as Amazon and eBay, serve in multiple countries and regions. Some markets are data-scarce, while others are data-rich. In recent years, cross-market reco...	[ 23375 ]	Test
38,024	30	Title: Unsupervised Sentence Representation Learning with Frequency-induced Adversarial Tuning and Incomplete Sentence Filtering Abstract: Pre-trained Language Model (PLM) is nowadays the mainstay of Unsupervised Sentence Representation Learning (USRL). However, PLMs are sensitive to the frequency information of words ...	[]	Train
38,025	24	Title: FedDWA: Personalized Federated Learning with Dynamic Weight Adjustment Abstract: Different from conventional federated learning, personalized federated learning (PFL) is able to train a customized model for each individual client according to its unique requirement. The mainstream approach is to adopt a kind of ...	[]	Test
38,026	28	Title: STAR-RIS Assisted Over-the-Air Vertical Federated Learning in Multi-Cell Wireless Networks Abstract: Vertical federated learning (FL) is a critical enabler for distributed artificial intelligence services in the emerging 6G era, as it allows for secure and efficient collaboration of machine learning among a wide...	[]	Train
38,027	16	Title: Physically Adversarial Infrared Patches with Learnable Shapes and Locations Abstract: Owing to the extensive application of infrared object detectors in the safety-critical tasks, it is necessary to evaluate their robustness against adversarial examples in the real world. However, current few physical infrared a...	[ 17601, 11363, 7856, 11443, 32696 ]	Test
38,028	16	Title: RLSAC: Reinforcement Learning enhanced Sample Consensus for End-to-End Robust Estimation Abstract: Robust estimation is a crucial and still challenging task, which involves estimating model parameters in noisy environments. Although conventional sampling consensus-based algorithms sample several times to achieve...	[]	Train
38,029	24	Title: Variance-aware robust reinforcement learning with linear function approximation under heavy-tailed rewards Abstract: This paper presents two algorithms, AdaOFUL and VARA, for online sequential decision-making in the presence of heavy-tailed rewards with only finite variances. For linear stochastic bandits, we ad...	[ 6306, 1428, 24703 ]	Validation
38,030	8	Title: Learning Cellular Coverage from Real Network Configurations using GNNs Abstract: Cellular coverage quality estimation has been a critical task for self-organized networks. In real-world scenarios, deep-learning-powered coverage quality estimation methods cannot scale up to large areas due to little ground truth ...	[]	Test
38,031	16	Title: DANet: Density Adaptive Convolutional Network With Interactive Attention for 3D Point Clouds Abstract: Local features and contextual dependencies are crucial for 3D point cloud analysis. Many works have been devoted to designing better local convolutional kernels that exploit the contextual dependencies. However...	[]	Validation
38,032	24	Title: Improving Automatic Parallel Training via Balanced Memory Workload Optimization Abstract: Transformer models have emerged as the leading approach for achieving state-of-the-art performance across various application domains, serving as the foundation for advanced large-scale deep learning (DL) models. However, e...	[ 21543 ]	Train
38,033	24	Title: Differentially private low-dimensional representation of high-dimensional data Abstract: Differentially private synthetic data provide a powerful mechanism to enable data analysis while protecting sensitive information about individuals. However, when the data lie in a high-dimensional space, the accuracy of the...	[ 912 ]	Train
38,034	24	Title: Perimeter Control Using Deep Reinforcement Learning: A Model-free Approach towards Homogeneous Flow Rate Optimization Abstract: Perimeter control maintains high traffic efficiency within protected regions by controlling transfer flows among regions to ensure that their traffic densities are below critical values...	[]	Train
38,035	23	Title: Evaluation and Measurement of Software Process Improvement—A Systematic Literature Review Abstract: BACKGROUND-Software Process Improvement (SPI) is a systematic approach to increase the efficiency and effectiveness of a software development organization and to enhance software products. OBJECTIVE-This paper aim...	[ 14267, 8604, 36975 ]	Train
38,036	27	Title: Human Comfortability Index Estimation in Industrial Human-Robot Collaboration Task Abstract: Fluent human-robot collaboration requires a robot teammate to understand, learn, and adapt to the human's psycho-physiological state. Such collaborations require a computing system that monitors human physiological signa...	[]	Train
38,037	16	Title: General Rotation Invariance Learning for Point Clouds via Weight-Feature Alignment Abstract: Compared to 2D images, 3D point clouds are much more sensitive to rotations. We expect the point features describing certain patterns to keep invariant to the rotation transformation. There are many recent SOTA works ded...	[ 6470 ]	Validation
38,038	16	Title: Fast Adversarial CNN-based Perturbation Attack on No-Reference Image- and Video-Quality Metrics Abstract: Modern neural-network-based no-reference image- and video-quality metrics exhibit performance as high as full-reference metrics. These metrics are widely used to improve visual quality in computer vision met...	[]	Validation
38,039	24	Title: Fast computation of permutation equivariant layers with the partition algebra Abstract: Linear neural network layers that are either equivariant or invariant to permutations of their inputs form core building blocks of modern deep learning architectures. Examples include the layers of DeepSets, as well as linear...	[ 43247, 35583 ]	Train
38,040	16	Title: Backdoor Attacks Against Deep Image Compression via Adaptive Frequency Trigger Abstract: Recent deep-learning-based compression methods have achieved superior performance compared with traditional approaches. However, deep learning models have proven to be vulnerable to backdoor attacks, where some specific trig...	[ 38336, 1729, 40422, 4521, 14744 ]	Test
38,041	16	Title: PointSmile: Point Self-supervised Learning via Curriculum Mutual Information Abstract: Self-supervised learning is attracting wide attention in point cloud processing. However, it is still not well-solved to gain discriminative and transferable features of point clouds for efficient training on downstream tasks,...	[]	Validation
38,042	24	Title: Frigate: Frugal Spatio-temporal Forecasting on Road Networks Abstract: Modelling spatio-temporal processes on road networks is a task of growing importance. While significant progress has been made on developing spatio-temporal graph neural networks (Gnns), existing works are built upon three assumptions that ar...	[ 5721 ]	Validation
38,043	23	Title: FedCSD: A Federated Learning Based Approach for Code-Smell Detection Abstract: This paper proposes a Federated Learning Code Smell Detection (FedCSD) approach that allows organizations to collaboratively train federated ML models while preserving their data privacy. These assertions have been supported by three ...	[]	Train
38,044	16	Title: BUS: Efficient and Effective Vision-language Pre-training with Bottom-Up Patch Summarization Abstract: Vision Transformer (ViT) based Vision-Language Pre-training (VLP) models have demonstrated impressive performance in various tasks. However, the lengthy visual token sequences fed into ViT can lead to training ...	[ 10624, 5361 ]	Validation
38,045	24	Title: Doubly Robust Instance-Reweighted Adversarial Training Abstract: Assigning importance weights to adversarial data has achieved great success in training adversarially robust networks under limited model capacity. However, existing instance-reweighted adversarial training (AT) methods heavily depend on heuristics...	[ 22018 ]	Test
38,046	2	Title: Semënov Arithmetic, Affine VASS, and String Constraints Abstract: We study extensions of Sem\"enov arithmetic, the first-order theory of the structure $(\mathbb{N}, +, 2^x)$. It is well-knonw that this theory becomes undecidable when extended with regular predicates over tuples of number strings, such as the B\"...	[]	Train
38,047	16	Title: Language-guided Human Motion Synthesis with Atomic Actions Abstract: Language-guided human motion synthesis has been a challenging task due to the inherent complexity and diversity of human behaviors. Previous methods face limitations in generalization to novel actions, often resulting in unrealistic or incohere...	[ 15792 ]	Train
38,048	23	Title: Towards Solving the Challenge of Minimal Overhead Monitoring Abstract: The examination of performance changes or the performance behavior of a software requires the measurement of the performance. This is done via probes, i.e., pieces of code which obtain and process measurement data, and which are inserted into...	[]	Train
38,049	16	Title: From Knowledge Distillation to Self-Knowledge Distillation: A Unified Approach with Normalized Loss and Customized Soft Labels Abstract: Knowledge Distillation (KD) uses the teacher's prediction logits as soft labels to guide the student, while self-KD does not need a real teacher to require the soft labels. Thi...	[ 12876 ]	Validation
38,050	30	Title: Sentiment Analysis in Finance: From Transformers Back to eXplainable Lexicons (XLex) Abstract: Lexicon-based sentiment analysis (SA) in finance leverages specialized, manually annotated lexicons created by human experts to extract sentiment from financial texts. Although lexicon-based methods are simple to imple...	[]	Test
38,051	24	Title: Bag of Policies for Distributional Deep Exploration Abstract: Efficient exploration in complex environments remains a major challenge for reinforcement learning (RL). Compared to previous Thompson sampling-inspired mechanisms that enable temporally extended exploration, i.e., deep exploration, we focus on deep e...	[]	Train
38,052	27	Title: Agricultural Robotic System: The Automation of Detection and Speech Control Abstract: Agriculture industries often face challenges in manual tasks such as planting, harvesting, fertilizing, and detection, which can be time consuming and prone to errors. The"Agricultural Robotic System"project addresses these iss...	[]	Train
38,053	24	Title: A Survey on Deep Neural Network Pruning-Taxonomy, Comparison, Analysis, and Recommendations Abstract: Modern deep neural networks, particularly recent large language models, come with massive model sizes that require significant computational and storage resources. To enable the deployment of modern models on re...	[ 33220, 11562, 45490, 12851, 28443 ]	Train
38,054	16	Title: Neural-Singular-Hessian: Implicit Neural Representation of Unoriented Point Clouds by Enforcing Singular Hessian Abstract: Neural implicit representation is a promising approach for reconstructing surfaces from point clouds. Existing methods combine various regularization terms, such as the Eikonal and Laplacian...	[ 12817, 10493 ]	Train
38,055	24	Title: Provably Safe Reinforcement Learning with Step-wise Violation Constraints Abstract: In this paper, we investigate a novel safe reinforcement learning problem with step-wise violation constraints. Our problem differs from existing works in that we consider stricter step-wise violation constraints and do not assum...	[ 20827 ]	Validation
38,056	30	Title: Knowledge-augmented Graph Neural Networks with Concept-aware Attention for Adverse Drug Event Detection Abstract: Adverse drug events (ADEs) are an important aspect of drug safety. Various texts such as biomedical literature, drug reviews, and user posts on social media and medical forums contain a wealth of inf...	[]	Train
38,057	4	Title: An Omnidirectional Approach to Touch-based Continuous Authentication Abstract: This paper focuses on how touch interactions on smartphones can provide a continuous user authentication service through behaviour captured by a touchscreen. While efforts are made to advance touch-based behavioural authentication, re...	[]	Train
38,058	6	Title: Alert of the Second Decision-maker: An Introduction to Human-AI Conflict Abstract: The collaboration between humans and artificial intelligence (AI) is a significant feature in this digital age. However, humans and AI may have observation, interpretation, and action conflicts when working synchronously. This phe...	[]	Test
38,059	27	Title: Rotating Objects via In-Hand Pivoting using Vision, Force and Touch Abstract: We propose a robotic manipulation system that can pivot objects on a surface using vision, wrist force and tactile sensing. We aim to control the rotation of an object around the grip point of a parallel gripper by allowing rotational ...	[]	Train
38,060	16	Title: SportsPose - A Dynamic 3D sports pose dataset Abstract: Accurate 3D human pose estimation is essential for sports analytics, coaching, and injury prevention. However, existing datasets for monocular pose estimation do not adequately capture the challenging and dynamic nature of sports movements. In response, we ...	[ 34380 ]	Train
38,061	27	Title: SMUG Planner: A Safe Multi-Goal Planner for Mobile Robots in Challenging Environments Abstract: Robotic exploration or monitoring missions require mobile robots to autonomously and safely navigate between multiple target locations in potentially challenging environments. Currently, this type of multi-goal missio...	[]	Train
38,062	16	Title: Multi-Task Consistency for Active Learning Abstract: Learning-based solutions for vision tasks require a large amount of labeled training data to ensure their performance and reliability. In single-task vision-based settings, inconsistency-based active learning has proven to be effective in selecting informative...	[]	Test
38,063	24	Title: Are Your Explanations Reliable? Investigating the Stability of LIME in Explaining Textual Classification Models via Adversarial Perturbation Abstract: Local Surrogate models have increased in popularity for use in explaining complex black-box models for diverse types of data, including text, tabular, and image. ...	[]	Train
38,064	2	Title: Exploiting Asymmetry in Logic Puzzles: Using ZDDs for Symbolic Model Checking Dynamic Epistemic Logic Abstract: Binary decision diagrams (BDDs) are widely used to mitigate the state-explosion problem in model checking. A variation of BDDs are Zero-suppressed Decision Diagrams (ZDDs) which omit variables that mus...	[]	Train
38,065	4	Title: Uncertainty Aware Deep Learning Model for Secure and Trustworthy Channel Estimation in 5G Networks Abstract: With the rise of intelligent applications, such as self-driving cars and augmented reality, the security and reliability of wireless communication systems have become increasingly crucial. One of the most...	[]	Train
38,066	16	Title: Parameter-Efficient Fine-Tuning for Medical Image Analysis: The Missed Opportunity Abstract: We present a comprehensive evaluation of Parameter-Efficient Fine-Tuning (PEFT) techniques for diverse medical image analysis tasks. PEFT is increasingly exploited as a valuable approach for knowledge transfer from pre-t...	[ 19907, 33638, 45959, 20595, 23092, 10070, 24763, 40863 ]	Train
38,067	24	Title: Physics-based Reduced Order Modeling for Uncertainty Quantification of Guided Wave Propagation using Bayesian Optimization Abstract: In the context of digital twins, structural health monitoring (SHM) constitutes the backbone of condition-based maintenance, facilitating the interconnection between virtual and ph...	[ 30357 ]	Test
38,068	13	Title: (1+1) Genetic Programming With Functionally Complete Instruction Sets Can Evolve Boolean Conjunctions and Disjunctions with Arbitrarily Small Error Abstract: nan	[]	Validation
38,069	30	Title: Dipping PLMs Sauce: Bridging Structure and Text for Effective Knowledge Graph Completion via Conditional Soft Prompting Abstract: Knowledge Graph Completion (KGC) often requires both KG structural and textual information to be effective. Pre-trained Language Models (PLMs) have been used to learn the textual info...	[ 12238, 31215 ]	Train
38,070	24	Title: A Neural PDE Solver with Temporal Stencil Modeling Abstract: Numerical simulation of non-linear partial differential equations plays a crucial role in modeling physical science and engineering phenomena, such as weather, climate, and aerodynamics. Recent Machine Learning (ML) models trained on low-resolution spa...	[ 27475, 19311 ]	Train
38,071	16	Title: 1st Place Solution for PSG competition with ECCV'22 SenseHuman Workshop Abstract: Panoptic Scene Graph (PSG) generation aims to generate scene graph representations based on panoptic segmentation instead of rigid bounding boxes. Existing PSG methods utilize one-stage paradigm which simultaneously generates scene...	[]	Train
38,072	16	Title: Filter Pruning for Efficient CNNs via Knowledge-driven Differential Filter Sampler Abstract: Filter pruning simultaneously accelerates the computation and reduces the memory overhead of CNNs, which can be effectively applied to edge devices and cloud services. In this paper, we propose a novel Knowledge-driven D...	[]	Train
38,073	16	Title: Nordic Vehicle Dataset (NVD): Performance of vehicle detectors using newly captured NVD from UAV in different snowy weather conditions Abstract: Vehicle detection and recognition in drone images is a complex problem that has been used for different safety purposes. The main challenge of these images is captured ...	[ 23032 ]	Test
38,074	24	Title: Real World Time Series Benchmark Datasets with Distribution Shifts: Global Crude Oil Price and Volatility Abstract: The scarcity of task-labeled time-series benchmarks in the financial domain hinders progress in continual learning. Addressing this deficit would foster innovation in this area. Therefore, we prese...	[]	Train
38,075	8	Title: A Cognitive Network Architecture for Vehicle-to-Network (V2N) Communications over Smart Meters for URLLC Abstract: With the rapid advancement of smart city infrastructure, vehicle-to-network (V2N) communication has emerged as a crucial technology to enable intelligent transportation systems (ITS). The investigat...	[]	Train
38,076	24	Title: Efficient and Direct Inference of Heart Rate Variability using Both Signal Processing and Machine Learning Abstract: Heart Rate Variability (HRV) measures the variation of the time between consecutive heartbeats and is a major indicator of physical and mental health. Recent research has demon-strated that photop...	[ 27236 ]	Train
38,077	30	Title: ByteSized32: A Corpus and Challenge Task for Generating Task-Specific World Models Expressed as Text Games Abstract: In this work we examine the ability of language models to generate explicit world models of scientific and common-sense reasoning tasks by framing this as a problem of generating text-based games....	[ 33220, 43471, 19250, 22578, 40152, 35580 ]	Test

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