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
22,378	10	Title: Towards risk-informed PBSHM: Populations as hierarchical systems Abstract: The prospect of informed and optimal decision-making regarding the operation and maintenance (O&M) of structures provides impetus to the development of structural health monitoring (SHM) systems. A probabilistic risk-based framework for d...	[]	Train
22,379	31	Title: A Unified Framework for Learned Sparse Retrieval Abstract: nan	[ 25397, 14206 ]	Train
22,380	24	Title: The Meta-Evaluation Problem in Explainable AI: Identifying Reliable Estimators with MetaQuantus Abstract: One of the unsolved challenges in the field of Explainable AI (XAI) is determining how to most reliably estimate the quality of an explanation method in the absence of ground truth explanation labels. Resolv...	[ 25951 ]	Train
22,381	24	Title: BayesDAG: Gradient-Based Posterior Sampling for Causal Discovery Abstract: Bayesian causal discovery aims to infer the posterior distribution over causal models from observed data, quantifying epistemic uncertainty and benefiting downstream tasks. However, computational challenges arise due to joint inference ov...	[ 22066, 39799 ]	Train
22,382	23	Title: An Exploratory Study on the Evidence of Hackathons' Role in Solving OSS Newcomers' Challenges Abstract: Background: OSS projects face various challenges. One major challenge is to onboard and integrate newcomers to the project. Aim: We aim to understand and discuss the challenges newcomers face when joining an O...	[]	Validation
22,383	16	Title: Predicting dynamic, motion-related changes in B0 field in the brain at a 7 T MRI using a subject-specific fine-tuned U-net Abstract: Subject movement during the magnetic resonance examination is inevitable and causes not only image artefacts but also deteriorates the homogeneity of the main magnetic field (B0), ...	[]	Test
22,384	24	Title: Regret Bounds for Risk-sensitive Reinforcement Learning with Lipschitz Dynamic Risk Measures Abstract: We study finite episodic Markov decision processes incorporating dynamic risk measures to capture risk sensitivity. To this end, we present two model-based algorithms applied to \emph{Lipschitz} dynamic risk me...	[ 27243, 32021, 6167 ]	Train
22,385	16	Title: Centroid-aware feature recalibration for cancer grading in pathology images Abstract: Cancer grading is an essential task in pathology. The recent developments of artificial neural networks in computational pathology have shown that these methods hold great potential for improving the accuracy and quality of can...	[]	Test
22,386	16	Title: Unlocking Feature Visualization for Deeper Networks with MAgnitude Constrained Optimization Abstract: Feature visualization has gained substantial popularity, particularly after the influential work by Olah et al. in 2017, which established it as a crucial tool for explainability. However, its widespread adoptio...	[ 17202, 38803 ]	Train
22,387	33	Title: Automata in toposes, and general Myhill-Nerode theorems Abstract: We extend the functorial approach to automata by Colcombet and Petri\c{s}an [arXiv:1712.07121] from the category of sets to any elementary topos with a natural number object and establish general Myhill-Nerode theorems in our setting. As a special...	[]	Train
22,388	30	Title: Parameter-efficient Modularised Bias Mitigation via AdapterFusion Abstract: Large pre-trained language models contain societal biases and carry along these biases to downstream tasks. Current in-processing bias mitigation approaches (like adversarial training) impose debiasing by updating a model’s parameters, e...	[ 34835 ]	Train
22,389	30	Title: Adapting the NICT-JLE Corpus for Disfluency Detection Models Abstract: The detection of disfluencies such as hesitations, repetitions and false starts commonly found in speech is a widely studied area of research. With a standardised process for evaluation using the Switchboard Corpus, model performance can be e...	[]	Validation
22,390	30	Title: Persian Semantic Role Labeling Using Transfer Learning and BERT-Based Models Abstract: Semantic role labeling (SRL) is the process of detecting the predicate-argument structure of each predicate in a sentence. SRL plays a crucial role as a pre-processing step in many NLP applications such as topic and concept ex...	[]	Train
22,391	30	Title: Efficient Open Domain Multi-Hop Question Answering with Few-Shot Data Synthesis Abstract: Few-shot learning for open domain multi-hop question answering typically relies on large language models (LLMs). While powerful, LLMs are inefficient at the inference time. We propose a data synthesis framework for multi-ho...	[ 12741, 30280, 28878, 10510, 15220, 14143 ]	Train
22,392	16	Title: Augmentation-aware Self-supervised Learning with Guided Projector Abstract: Self-supervised learning (SSL) is a powerful technique for learning robust representations from unlabeled data. By learning to remain invariant to applied data augmentations, methods such as SimCLR and MoCo are able to reach quality on p...	[ 13969 ]	Test
22,393	34	Title: Collapsing the Hierarchy of Compressed Data Structures: Suffix Arrays in Optimal Compressed Space Abstract: In the last decades, the necessity to process massive amounts of textual data fueled the development of compressed text indexes: data structures efficiently answering queries on a given text while occupyin...	[]	Test
22,394	4	Title: Composable Security of Distributed Symmetric Key Exchange Protocol Abstract: The Distributed Symmetric Key Exchange (DSKE) protocol provides secure secret exchange (e.g., for key exchange) between two honest parties that need not have had prior contact, and use intermediaries with whom they each securely share c...	[]	Train
22,395	16	Title: Explicit3D: Graph Network with Spatial Inference \\for Single Image 3D Object Detection Abstract: Indoor 3D object detection is an essential task in single image scene understanding, impacting spatial cognition fundamentally in visual reasoning. Existing works on 3D object detection from a single image either pu...	[]	Train
22,396	38	Title: Do Successful Researchers Reach the Self-Organized Critical Point? Abstract: The index of success of the researchers are now mostly measured using the Hirsch index ($h$). Our recent precise demonstration, that statistically $h \sim \sqrt {N_c} \sim \sqrt {N_p}$, where $N_p$ and $N_c$ denote respectively the tota...	[]	Validation
22,397	2	Title: Branching Place Bisimilarity Abstract: Place bisimilarity is a behavioral equivalence for finite Petri nets, proposed in \cite{ABS91} and proved decidable in \cite{Gor21}. In this paper we propose an extension to finite Petri nets with silent moves of the place bisimulation idea, yielding {\em branching} place b...	[]	Train
22,398	31	Title: Extension of Dictionary-Based Compression Algorithms for the Quantitative Visualization of Patterns from Log Files Abstract: Many services today massively and continuously produce log files of different and varying formats. These logs are important since they contain information about the application activities,...	[]	Train
22,399	24	Title: New challenges in reinforcement learning: a survey of security and privacy Abstract: nan	[]	Train
22,400	27	Title: Latent Exploration for Reinforcement Learning Abstract: In Reinforcement Learning, agents learn policies by exploring and interacting with the environment. Due to the curse of dimensionality, learning policies that map high-dimensional sensory input to motor output is particularly challenging. During training, s...	[ 38679 ]	Train
22,401	38	Title: The funding effect on citation and social attention: the UN Sustainable Development Goals (SDGs) as a case study Abstract: PurposeAcademic citation and social attention measure different dimensions in the impact of research results. The authors quantify the contribution of funding to both indicators considering ...	[]	Train
22,402	28	Title: Time and Energy Constrained Large-Scale IoT Networks: The Feedback Dilemma Abstract: Closed-loop rate adaptation and error-control depends on the availability of feedback, which is necessary to maintain efficient and reliable wireless links. In the 6G era, many Internet of Things (IoT) devices may not be able to...	[]	Train
22,403	27	Title: Interactive Trajectory Planner for Mandatory Lane Changing in Dense Non-Cooperative Traffic Abstract: When the traffic stream is extremely congested and surrounding vehicles are not cooperative, the mandatory lane changing can be significantly difficult. In this work, we propose an interactive trajectory planner...	[ 28939, 34237 ]	Train
22,404	30	Title: PLM-GNN: A Webpage Classification Method based on Joint Pre-trained Language Model and Graph Neural Network Abstract: The number of web pages is growing at an exponential rate, accumulating massive amounts of data on the web. It is one of the key processes to classify webpages in web information mining. Some cla...	[]	Train
22,405	4	Title: Effective Data Aggregation in WSN for Enhanced Security and Data Privacy Abstract: The two biggest problems with wireless sensor networks are security and energy usage. In sensing devices, malicious nodes could be found in large numbers. The researchers have proposed several methods to find these rogue nodes. To...	[ 5154, 25547 ]	Train
22,406	4	Title: From Dragondoom to Dragonstar: Side-channel Attacks and Formally Verified Implementation of WPA3 Dragonfly Handshake Abstract: It is universally acknowledged that Wi-Fi communications are important to secure. Thus, the Wi-Fi Alliance published WPA3 in 2018 with a distinctive security feature: it leverages a Pass...	[]	Train
22,407	27	Title: On the Collocated Form with Input Decoupling of Lagrangian Systems Abstract: Suitable representations of dynamical systems can simplify their analysis and control. On this line of thought, this paper considers the input decoupling problem for input-affine Lagrangian dynamics, namely the problem of finding a tran...	[]	Validation
22,408	28	Title: Optimal Transmit Power and Channel-Information Bit Allocation With Zeroforcing Beamforming in MIMO-NOMA and MIMO-OMA Downlinks Abstract: In downlink, a base station (BS) with multiple transmit antennas applies zeroforcing beamforming to transmit to single-antenna mobile users in a cell. We propose the schemes th...	[]	Train
22,409	4	Title: Cross-Consensus Measurement of Individual-level Decentralization in Blockchains Abstract: Decentralization is widely recognized as a crucial characteristic of blockchains that enables them to resist malicious attacks such as the 51% attack and the takeover attack. Prior research has primarily examined decentrali...	[]	Train
22,410	30	Title: Knowledge-preserving Pruning for Pre-trained Language Models without Retraining Abstract: Given a pre-trained language model, how can we efficiently compress it without retraining? Retraining-free structured pruning algorithms are crucial in pre-trained language model compression due to their significantly reduc...	[ 14179 ]	Validation
22,411	16	Title: MiVOLO: Multi-input Transformer for Age and Gender Estimation Abstract: Age and gender recognition in the wild is a highly challenging task: apart from the variability of conditions, pose complexities, and varying image quality, there are cases where the face is partially or completely occluded. We present MiVOL...	[]	Test
22,412	4	Title: Real-time chaotic video encryption based on multithreaded parallel confusion and diffusion Abstract: Due to the strong correlation between adjacent pixels, most image encryption schemes perform multiple rounds of confusion and diffusion to protect the image against attacks. Such operations, however, are time-con...	[]	Train
22,413	16	Title: Brightness-Restricted Adversarial Attack Patch Abstract: Adversarial attack patches have gained increasing attention due to their practical applicability in physical-world scenarios. However, the bright colors used in attack patches represent a significant drawback, as they can be easily identified by human obse...	[ 36410 ]	Train
22,414	23	Title: Agile Methodology in Online Learning and How It Can Improve Communication: A Case Study Abstract: This paper presents a study on using Agile methodologies in the teaching process at the university/college level during the Covid-19 pandemic, online classes. We detail a list of techniques inspired from software en...	[ 38807, 20191, 9823 ]	Train
22,415	10	Title: Explainable Goal Recognition: A Framework Based on Weight of Evidence Abstract: We introduce and evaluate an eXplainable goal recognition (XGR) model that uses the Weight of Evidence (WoE) framework to explain goal recognition problems. Our model provides human-centered explanations that answer `why?' and `why n...	[]	Train
22,416	30	Title: Large Language Models on the Chessboard: A Study on ChatGPT's Formal Language Comprehension and Complex Reasoning Skills Abstract: While large language models have made strides in natural language processing, their proficiency in complex reasoning tasks requiring formal language comprehension, such as chess, rem...	[ 32618, 35580 ]	Train
22,417	8	Title: Cooperative Positioning for Sparsely Distributed High-Mobility Wireless Networks With EKF Based Spatio-Temporal Data Fusion Abstract: We propose a distributed cooperative positioning algorithm using the extended Kalman filter (EKF) based spatio-temporal data fusion (STDF) for a wireless network composed of spars...	[]	Train
22,418	3	Title: Drones4Good: Supporting Disaster Relief Through Remote Sensing and AI Abstract: In order to respond effectively in the aftermath of a disaster, emergency services and relief organizations rely on timely and accurate information about the affected areas. Remote sensing has the potential to significantly reduce th...	[]	Validation
22,419	4	Title: Exploring Post-Quantum Cryptographic Schemes for TLS in 5G Nb-IoT: Feasibility and Recommendations Abstract: Narrowband Internet of Things (NB-IoT) is a wireless communication technology that enables a wide range of applications, from smart cities to industrial automation. As a part of the 5G extension, NB-IoT p...	[]	Train
22,420	24	Title: Intrinsic Motivation via Surprise Memory Abstract: We present a new computing model for intrinsic rewards in reinforcement learning that addresses the limitations of existing surprise-driven explorations. The reward is the novelty of the surprise rather than the surprise norm. We estimate the surprise novelty as...	[]	Train
22,421	30	Title: How to choose "Good" Samples for Text Data Augmentation Abstract: Deep learning-based text classification models need abundant labeled data to obtain competitive performance. Unfortunately, annotating large-size corpus is time-consuming and laborious. To tackle this, multiple researches try to use data augmentat...	[]	Train
22,422	30	Title: Zero-Resource Hallucination Prevention for Large Language Models Abstract: The prevalent use of large language models (LLMs) in various domains has drawn attention to the issue of"hallucination,"which refers to instances where LLMs generate factually inaccurate or ungrounded information. Existing techniques for ...	[ 10179, 28805, 29606, 9518, 37360, 16401, 28886, 21593, 41210, 9403, 31291, 22781 ]	Test
22,423	24	Title: An efficient and straightforward online quantization method for a data stream through remove-birth updating Abstract: The growth of network-connected devices is creating an explosion of data, known as big data, and posing significant challenges to efficient data analysis. This data is generated continuously, cre...	[]	Train
22,424	16	Title: Detect Any Shadow: Segment Anything for Video Shadow Detection Abstract: Segment anything model (SAM) has achieved great success in the field of natural image segmentation. Nevertheless, SAM tends to classify shadows as background, resulting in poor segmentation performance for shadow detection task. In this pap...	[ 12704, 37505, 38612, 23092 ]	Validation
22,425	6	Title: Boundary Blending: Reconsidering the Design of Multi-View Visualizations Abstract: Multiple-view visualizations (MVs) have been widely used for visual analysis. Each view shows some part of the data in a usable way, and together multiple views enable a holistic understanding of the data under investigation. For ...	[]	Train
22,426	30	Title: CPET: Effective Parameter-Efficient Tuning for Compressed Large Language Models Abstract: Parameter-efficient tuning (PET) has been widely explored in recent years because it tunes much fewer parameters (PET modules) than full-parameter fine-tuning (FT) while still stimulating sufficient knowledge from large lan...	[ 40192, 13564 ]	Train
22,427	15	Title: SpOctA: A 3D Sparse Convolution Accelerator with Octree-Encoding-Based Map Search and Inherent Sparsity-Aware Processing Abstract: Point-cloud-based 3D perception has attracted great attention in various applications including robotics, autonomous driving and AR/VR. In particular, the 3D sparse convolution (SpCo...	[]	Validation
22,428	28	Title: Deceptive Information Retrieval Abstract: We introduce the problem of deceptive information retrieval (DIR), in which a user wishes to download a required file out of multiple independent files stored in a system of databases while \emph{deceiving} the databases by making the databases' predictions on the user-r...	[]	Train
22,429	16	Title: Detection of Adversarial Physical Attacks in Time-Series Image Data Abstract: Deep neural networks (DNN) have become a common sensing modality in autonomous systems as they allow for semantically perceiving the ambient environment given input images. Nevertheless, DNN models have proven to be vulnerable to adver...	[]	Train
22,430	16	Title: An Edge Assisted Robust Smart Traffic Management and Signalling System for Guiding Emergency Vehicles During Peak Hours Abstract: nan	[]	Train
22,431	27	Title: Certifiably Optimal Rotation and Pose Estimation Based on the Cayley Map Abstract: We present novel, tight, convex relaxations for rotation and pose estimation problems that can guarantee global optimality via strong Lagrangian duality. Some such relaxations exist in the literature for specific problem setups th...	[ 17009 ]	Validation
22,432	16	Title: Evaluating Object Hallucination in Large Vision-Language Models Abstract: Inspired by the superior language abilities of large language models (LLM), large vision-language models (LVLM) have been recently explored by integrating powerful LLMs for improving the performance on complex multimodal tasks. Despite the...	[ 10624, 40192, 13700, 41104, 16401, 1530, 8084, 4251, 10911, 7982, 29999, 33220, 19405, 14928, 38102, 11612, 13408, 481, 17633, 22114, 37987, 42983, 11628, 25580, 13935, 6770, 19578, 42747, 35580, 14974 ]	Train
22,433	28	Title: Low-overhead Joint Channel Estimation and Data Detection in ZP-OTFS System Abstract: High pilot overhead and peak-to-average power ratio (PAPR) are challenging issues in channel estimation for orthogonal time frequency space (OTFS) systems. ZP-OTFS is a modified OTFS system where multiple rows along the delay ax...	[]	Train
22,434	16	Title: View while Moving: Efficient Video Recognition in Long-untrimmed Videos Abstract: Recent adaptive methods for efficient video recognition mostly follow the two-stage paradigm of"preview-then-recognition"and have achieved great success on multiple video benchmarks. However, this two-stage paradigm involves two vi...	[]	Train
22,435	6	Title: Fitted avatars: automatic skeleton adjustment for self-avatars in virtual reality Abstract: nan	[ 389 ]	Train
22,436	27	Title: Towards Open World NeRF-Based SLAM Abstract: Neural Radiance Fields (NeRFs) offer versatility and robustness in map representations for Simultaneous Localization and Mapping (SLAM) tasks. This paper extends NICE-SLAM, a recent state-of-the-art NeRF-based SLAM algorithm capable of producing high quality NeRF maps...	[ 33277 ]	Train
22,437	30	Title: Unbalanced Optimal Transport for Unbalanced Word Alignment Abstract: Monolingual word alignment is crucial to model semantic interactions between sentences.In particular, null alignment, a phenomenon in which words have no corresponding counterparts, is pervasive and critical in handling semantically divergent s...	[]	Train
22,438	13	Title: Analysis of (1+1) EA on LeadingOnes with Constraints Abstract: Understanding how evolutionary algorithms perform on constrained problems has gained increasing attention in recent years. In this paper, we study how evolutionary algorithms optimize constrained versions of the classical LeadingOnes problem. We firs...	[]	Validation
22,439	24	Title: IGB: Addressing The Gaps In Labeling, Features, Heterogeneity, and Size of Public Graph Datasets for Deep Learning Research Abstract: Graph neural networks (GNNs) have shown high potential for a variety of real-world, challenging applications, but one of the major obstacles in GNN research is the lack of large-s...	[ 4644, 269 ]	Train
22,440	30	Title: Type-enhanced Ensemble Triple Representation via Triple-aware Attention for Cross-lingual Entity Alignment Abstract: Entity alignment(EA) is a crucial task for integrating cross-lingual and cross-domain knowledge graphs(KGs), which aims to discover entities referring to the same real-world object from different ...	[]	Test
22,441	24	Title: Uncertainty-aware deep learning for digital twin-driven monitoring: Application to fault detection in power lines Abstract: Deep neural networks (DNNs) are often coupled with physics-based models or data-driven surrogate models to perform fault detection and health monitoring of systems in the low data regime. T...	[]	Train
22,442	10	Title: Precise Benchmarking of Explainable AI Attribution Methods Abstract: The rationale behind a deep learning model's output is often difficult to understand by humans. EXplainable AI (XAI) aims at solving this by developing methods that improve interpretability and explainability of machine learning models. Reliabl...	[]	Train
22,443	8	Title: Goal-Oriented Policies for Cost of Actuation Error Minimization in Wireless Autonomous Systems Abstract: We consider the minimization of the cost of actuation error under resource constraints for real-time tracking in wireless autonomous systems. A transmitter monitors the state of a discrete random process and ...	[ 7008, 21130, 39525, 485 ]	Train
22,444	30	Title: Chain-of-Thought Hub: A Continuous Effort to Measure Large Language Models' Reasoning Performance Abstract: As large language models (LLMs) are continuously being developed, their evaluation becomes increasingly important yet challenging. This work proposes Chain-of-Thought Hub, an open-source evaluation suite o...	[ 13700, 33815, 3745, 1575, 26792, 45494, 25786, 29115, 12602, 1595, 10944, 1345, 33220, 29396, 45909, 25447, 38379, 28920, 24316 ]	Train
22,445	16	Title: PointWavelet: Learning in Spectral Domain for 3D Point Cloud Analysis Abstract: With recent success of deep learning in 2D visual recognition, deep learning-based 3D point cloud analysis has received increasing attention from the community, especially due to the rapid development of autonomous driving technologi...	[]	Train
22,446	37	Title: Deep Clustering for Data Cleaning and Integration Abstract: Deep Learning (DL) techniques now constitute the state-of-the-art for important problems in areas such as text and image processing, and there have been impactful results that deploy DL in several data management tasks. Deep Clustering (DC) has recently...	[]	Validation
22,447	24	Title: Exploring Resiliency to Natural Image Corruptions in Deep Learning using Design Diversity Abstract: In this paper, we investigate the relationship between diversity metrics, accuracy, and resiliency to natural image corruptions of Deep Learning (DL) image classifier ensembles. We investigate the potential of an ...	[]	Train
22,448	27	Title: Conformal Predictive Safety Filter for RL Controllers in Dynamic Environments Abstract: The interest in using reinforcement learning (RL) controllers in safety-critical applications such as robot navigation around pedestrians motivates the development of additional safety mechanisms. Running RL-enabled systems a...	[ 31022, 16190 ]	Test
22,449	16	Title: Channel and Spatial Relation-Propagation Network for RGB-Thermal Semantic Segmentation Abstract: RGB-Thermal (RGB-T) semantic segmentation has shown great potential in handling low-light conditions where RGB-based segmentation is hindered by poor RGB imaging quality. The key to RGB-T semantic segmentation is to ...	[]	Validation
22,450	16	Title: Weakly Supervised Multi-Modal 3D Human Body Pose Estimation for Autonomous Driving Abstract: Accurate 3D human pose estimation (3D HPE) is crucial for enabling autonomous vehicles (AVs) to make informed decisions and respond proactively in critical road scenarios. Promising results of 3D HPE have been gained in ...	[]	Test
22,451	24	Title: Performative Prediction with Neural Networks Abstract: Performative prediction is a framework for learning models that influence the data they intend to predict. We focus on finding classifiers that are performatively stable, i.e. optimal for the data distribution they induce. Standard convergence results for fi...	[ 39932 ]	Test
22,452	24	Title: An LSTM-Based Predictive Monitoring Method for Data with Time-varying Variability Abstract: The recurrent neural network and its variants have shown great success in processing sequences in recent years. However, this deep neural network has not aroused much attention in anomaly detection through predictively pr...	[]	Train
22,453	16	Title: Privacy-Preserving Representations are not Enough: Recovering Scene Content from Camera Poses Abstract: Visual localization is the task of estimating the camera pose from which a given image was taken and is central to several 3D computer vision applications. With the rapid growth in the popularity of AR/VR/MR d...	[ 8854 ]	Train
22,454	28	Title: Linear Codes From Two Weakly Regular Plateaued Functions with index (p-1)/2 Abstract: Linear codes are the most important family of codes in coding theory. Some codes have only a few weights and are widely used in many areas, such as authentication codes, secret sharing schemes, association schemes and strongly ...	[]	Train
22,455	8	Title: UJI Probes: Dataset of Wi-Fi Probe Requests Abstract: This paper focuses on the creation of a new, publicly available Wi-Fi probe request dataset. Probe requests belong to the family of management frames used by the 802.11 (Wi-Fi) protocol. As the situation changes year by year, and technology improves probe req...	[]	Train
22,456	24	Title: Efficient and Accurate Learning of Mixtures of Plackett-Luce Models Abstract: Mixture models of Plackett-Luce (PL), one of the most fundamental ranking models, are an active research area of both theoretical and practical significance. Most previously proposed parameter estimation algorithms instantiate the EM a...	[]	Train
22,457	13	Title: Evolving Populations of Diverse RL Agents with MAP-Elites Abstract: Quality Diversity (QD) has emerged as a powerful alternative optimization paradigm that aims at generating large and diverse collections of solutions, notably with its flagship algorithm MAP-ELITES (ME) which evolves solutions through mutations ...	[ 3309, 8023 ]	Train
22,458	24	Title: HurriCast: An Automatic Framework Using Machine Learning and Statistical Modeling for Hurricane Forecasting Abstract: Hurricanes present major challenges in the U.S. due to their devastating impacts. Mitigating these risks is important, and the insurance industry is central in this effort, using intricate statis...	[]	Validation
22,459	24	Title: Estimating fire Duration using regression methods Abstract: Wildfire forecasting problems usually rely on complex grid-based mathematical models, mostly involving Computational fluid dynamics(CFD) and Celluar Automata, but these methods have always been computationally expensive and difficult to deliver a fast d...	[]	Train
22,460	16	Title: Scanpath Prediction in Panoramic Videos via Expected Code Length Minimization Abstract: Predicting human scanpaths when exploring panoramic videos is a challenging task due to the spherical geometry and the multimodality of the input, and the inherent uncertainty and diversity of the output. Most previous method...	[]	Validation
22,461	3	Title: Ethics in the Age of AI: An Analysis of AI Practitioners' Awareness and Challenges Abstract: Ethics in AI has become a debated topic of public and expert discourse in recent years. But what do people who build AI - AI practitioners - have to say about their understanding of AI ethics and the challenges associate...	[]	Train
22,462	24	Title: RESTORE: Graph Embedding Assessment Through Reconstruction Abstract: Following the success of Word2Vec embeddings, graph embeddings (GEs) have gained substantial traction. GEs are commonly generated and evaluated extrinsically on downstream applications, but intrinsic evaluations of the original graph properties...	[]	Train
22,463	16	Title: Illumination Controllable Dehazing Network based on Unsupervised Retinex Embedding Abstract: On the one hand, the dehazing task is an illposedness problem, which means that no unique solution exists. On the other hand, the dehazing task should take into account the subjective factor, which is to give the user se...	[]	Train
22,464	16	Title: TextMesh: Generation of Realistic 3D Meshes From Text Prompts Abstract: The ability to generate highly realistic 2D images from mere text prompts has recently made huge progress in terms of speed and quality, thanks to the advent of image diffusion models. Naturally, the question arises if this can be also achie...	[ 34199, 37692, 3912, 2860, 31258, 28532, 32148, 2583, 16697, 11450, 38395, 9276, 12190 ]	Train
22,465	31	Title: A Large Language Model Enhanced Conversational Recommender System Abstract: Conversational recommender systems (CRSs) aim to recommend high-quality items to users through a dialogue interface. It usually contains multiple sub-tasks, such as user preference elicitation, recommendation, explanation, and item infor...	[ 24706, 13700, 25892, 12251, 33800, 27281, 25748, 2613, 634, 3643, 45117 ]	Train
22,466	27	Title: 3D Multi-Robot Exploration with a Two-Level Coordination Strategy and Prioritization Abstract: This work presents a 3D multi-robot exploration framework for a team of UGVs moving on uneven terrains. The framework was designed by casting the two-level coordination strategy presented in [1] into the context of mul...	[]	Train
22,467	30	Title: Sinhala-English Parallel Word Dictionary Dataset Abstract: Parallel datasets are vital for performing and evaluating any kind of multilingual task. However, in the cases where one of the considered language pairs is a low-resource language, the existing top-down parallel data such as corpora are lacking in both ...	[]	Test
22,468	16	Title: Learning Situation Hyper-Graphs for Video Question Answering Abstract: Answering questions about complex situations in videos requires not only capturing the presence of actors, objects, and their relations but also the evolution of these relationships over time. A situation hyper-graph is a representation that ...	[]	Train
22,469	16	Title: Event Camera as Region Proposal Network Abstract: The human eye consists of two types of photoreceptors, rods and cones. Rods are responsible for monochrome vision, and cones for color vision. The number of rods is much higher than the cones, which means that most human vision processing is done in monochrome. A...	[]	Train
22,470	24	Title: Understanding Masked Autoencoders via Hierarchical Latent Variable Models Abstract: Masked autoencoder (MAE), a simple and effective self-supervised learning framework based on the reconstruction of masked image regions, has recently achieved prominent success in a variety of vision tasks. Despite the emergence ...	[ 26119 ]	Train
22,471	28	Title: Low-Latency Communication Using Delay-Aware Relays Against Reactive Adversaries Abstract: This work addresses a reactive jamming attack on the low-latency messages of a victim, wherein the jammer deploys countermeasure detection mechanisms to change its strategy. We highlight that the existing schemes against re...	[]	Test
22,472	4	Title: Security and Privacy Issues of Federated Learning Abstract: Federated Learning (FL) has emerged as a promising approach to address data privacy and confidentiality concerns by allowing multiple participants to construct a shared model without centralizing sensitive data. However, this decentralized paradigm intr...	[]	Train
22,473	28	Title: A Graph-Based Approach to the Computation of Rate-Distortion and Capacity-Cost Functions with Side Information Abstract: We consider the point-to-point lossy coding for computing and channel coding problems with two-sided information. We first unify these problems by considering a new generalized problem. Then w...	[]	Test
22,474	16	Title: Dynamic Spectrum Mixer for Visual Recognition Abstract: Recently, MLP-based vision backbones have achieved promising performance in several visual recognition tasks. However, the existing MLP-based methods directly aggregate tokens with static weights, leaving the adaptability to different images untouched. More...	[]	Validation
22,475	24	Title: Traversing Between Modes in Function Space for Fast Ensembling Abstract: Deep ensemble is a simple yet powerful way to improve the performance of deep neural networks. Under this motivation, recent works on mode connectivity have shown that parameters of ensembles are connected by low-loss subspaces, and one can...	[]	Train
22,476	24	Title: A Watermark for Large Language Models Abstract: Potential harms of large language models can be mitigated by watermarking model output, i.e., embedding signals into generated text that are invisible to humans but algorithmically detectable from a short span of tokens. We propose a watermarking framework for prop...	[ 31362, 6531, 1416, 40586, 44173, 39438, 6544, 14353, 20881, 37648, 20756, 3861, 6934, 22935, 39573, 25367, 22300, 30366, 36383, 32542, 26657, 7586, 14499, 9508, 24614, 26792, 11817, 22574, 19378, 5174, 32185, 43705, 315, 26427, 61, 44603, 39233...	Train
22,477	16	Title: ImGeoNet: Image-induced Geometry-aware Voxel Representation for Multi-view 3D Object Detection Abstract: We propose ImGeoNet, a multi-view image-based 3D object detection framework that models a 3D space by an image-induced geometry-aware voxel representation. Unlike previous methods which aggregate 2D features ...	[]	Train

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