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
21,478	36	Title: Byzantine Robust Cooperative Multi-Agent Reinforcement Learning as a Bayesian Game Abstract: In this study, we explore the robustness of cooperative multi-agent reinforcement learning (c-MARL) against Byzantine failures, where any agent can enact arbitrary, worst-case actions due to malfunction or adversarial at...	[ 32170 ]	Train
21,479	22	Title: An Evaluation Algorithm for Datalog with Equality Abstract: We describe an evaluation algorithm for relational Horn logic (RHL). RHL extends Datalog with quantification over sorts, existential quantification in conclusions and, crucially, the ability to infer equalities. These capabilities allow RHL evaluation t...	[ 4248, 36541 ]	Train
21,480	11	Title: Decentralized core-periphery structure in social networks accelerates cultural innovation in agent-based model Abstract: Previous investigations into creative and innovation networks have suggested that innovations often occurs at the boundary between the network's core and periphery. In this work, we investigat...	[]	Train
21,481	13	Title: Sparsifying Spiking Networks through Local Rhythms Abstract: It has been well-established that within conventional neural networks, many of the values produced at each layer are zero. In this work, it is demonstrated that spiking neural networks can prevent the transmission of spikes representing values close to...	[ 36557 ]	Train
21,482	16	Title: Towards Saner Deep Image Registration Abstract: With recent advances in computing hardware and surges of deep-learning architectures, learning-based deep image registration methods have surpassed their traditional counterparts, in terms of metric performance and inference time. However, these methods focus on im...	[]	Train
21,483	30	Title: Leveraging Implicit Feedback from Deployment Data in Dialogue Abstract: We study improving social conversational agents by learning from natural dialogue between users and a deployed model, without extra annotations. To implicitly measure the quality of a machine-generated utterance, we leverage signals like use...	[ 32263, 18607, 3861, 1369, 39642 ]	Test
21,484	24	Title: FedCP: Separating Feature Information for Personalized Federated Learning via Conditional Policy Abstract: Recently, personalized federated learning (pFL) has attracted increasing attention in privacy protection, collaborative learning, and tackling statistical heterogeneity among clients, e.g., hospitals, mobil...	[ 45379, 8077, 42878 ]	Validation
21,485	30	Title: Does Conceptual Representation Require Embodiment? Insights From Large Language Models Abstract: Recent advances in large language models (LLM) have the potential to shed light on the debate regarding the extent to which knowledge representation requires the grounding of embodied experience. Despite learning fro...	[ 37100, 36528, 24022, 87, 6010, 17726 ]	Validation
21,486	24	Title: Improving Adaptive Conformal Prediction Using Self-Supervised Learning Abstract: Conformal prediction is a powerful distribution-free tool for uncertainty quantification, establishing valid prediction intervals with finite-sample guarantees. To produce valid intervals which are also adaptive to the difficulty of...	[ 31430 ]	Train
21,487	6	Title: Is AI the better programming partner? Human-Human Pair Programming vs. Human-AI pAIr Programming Abstract: The emergence of large-language models (LLMs) that excel at code generation and commercial products such as GitHub's Copilot has sparked interest in human-AI pair programming (referred to as"pAIr programmin...	[ 13510, 40166, 16464, 27185, 3314, 46102, 39547, 20892 ]	Train
21,488	27	Title: The Effect of Flagella Stiffness on the Locomotion of a Multi-Flagellated Robot at Low Reynolds Environment Abstract: Microorganisms such as algae and bacteria move in a viscous environment with extremely low Reynolds ($Re$), where the viscous drag dominates the inertial forces. They have adapted to this environ...	[]	Train
21,489	24	Title: Relaxing the Additivity Constraints in Decentralized No-Regret High-Dimensional Bayesian Optimization Abstract: Bayesian Optimization (BO) is typically used to optimize an unknown function $f$ that is noisy and costly to evaluate, by exploiting an acquisition function that must be maximized at each optimization ...	[]	Train
21,490	30	Title: Learning Summary-Worthy Visual Representation for Abstractive Summarization in Video Abstract: Multimodal abstractive summarization for videos (MAS) requires generating a concise textual summary to describe the highlights of a video according to multimodal resources, in our case, the video content and its transc...	[]	Train
21,491	24	Title: Path Planning using Reinforcement Learning: A Policy Iteration Approach Abstract: With the impact of real-time processing being realized in the recent past, the need for efficient implementations of reinforcement learning algorithms has been on the rise. Albeit the numerous advantages of Bellman equations utiliz...	[]	Train
21,492	4	Title: Side Auth: Synthesizing Virtual Sensors for Authentication Abstract: While the embedded security research community aims to protect systems by reducing analog sensor side channels, our work argues that sensor side channels can be beneficial to defenders. This work introduces the general problem of synthesizing v...	[]	Train
21,493	16	Title: Novel Categories Discovery from probability matrix perspective Abstract: Novel Categories Discovery (NCD) tackles the open-world problem of classifying known and clustering novel categories based on the class semantics using partial class space annotated data. Unlike traditional pseudo-label and retraining, we i...	[ 33570, 13303 ]	Test
21,494	10	Title: C5: Towards Better Conversation Comprehension and Contextual Continuity for ChatGPT Abstract: Large language models (LLMs), such as ChatGPT, have demonstrated outstanding performance in various fields, particularly in natural language understanding and generation tasks. In complex application scenarios, users te...	[ 6048, 38849, 33220, 11273, 19083, 37424, 20402, 12087, 17789 ]	Test
21,495	33	Title: An Easily Checkable Algebraic Characterization of Positive Expansivity for Additive Cellular Automata over a Finite Abelian Group Abstract: We provide an easily checkable algebraic characterization of positive expansivity for Additive Cellular Automata over a finite abelian group. First of all, an easily checkab...	[]	Train
21,496	10	Title: Topological Guided Actor-Critic Modular Learning of Continuous Systems with Temporal Objectives Abstract: This work investigates the formal policy synthesis of continuous-state stochastic dynamic systems given high-level specifications in linear temporal logic. To learn an optimal policy that maximizes the satis...	[]	Train
21,497	27	Title: Assessing MSDs before Introduction of a Cobot: Psychosocial Aspects and Employee's Subjective Experience Abstract: Musculoskeletal disorders (MSDs) are one of the main causes of work disability (EU-OSHA, 2019; WHO, 2019). Several solutions, including the cobotic system (EUROGIP, 2017), have been put forward to i...	[]	Test
21,498	30	Title: UAlberta at SemEval-2023 Task 1: Context Augmentation and Translation for Multilingual Visual Word Sense Disambiguation Abstract: We describe the systems of the University of Alberta team for the SemEval-2023 Visual Word Sense Disambiguation (V-WSD) Task. We present a novel algorithm that leverages glosses retri...	[]	Validation
21,499	6	Title: From Driver to Supervisor: Comparing Cognitive Load and EEG-based Attentional Resource Allocation across Automation Levels Abstract: With increasing automation, drivers' roles transition from active operators to passive system supervisors, affecting their behaviour and cognitive processes. This study addresses t...	[]	Test
21,500	30	Title: Racial Bias Trends in the Text of US Legal Opinions Abstract: Although there is widespread recognition of racial bias in US law, it is unclear how such bias appears in the language of law, namely judicial opinions, and whether it varies across time period or region. Building upon approaches for measuring implici...	[]	Train
21,501	2	Title: System of Spheres-based Two Level Credibility-limited Revisions Abstract: Two level credibility-limited revision is a non-prioritized revision operation. When revising by a two level credibility-limited revision, two levels of credibility and one level of incredibility are considered. When revising by a sentence...	[]	Validation
21,502	38	Title: A Bibliographic Study on Artificial Intelligence Research: Global Panorama and Indian Appearance Abstract: The present study identifies and assesses the bibliographic trend in Artificial Intelligence (AI) research for the years 2015-2020 using the science mapping method of bibliometric study. The required data h...	[]	Train
21,503	16	Title: Close-up View synthesis by Interpolating Optical Flow Abstract: The virtual viewpoint is perceived as a new technique in virtual navigation, as yet not supported due to the lack of depth information and obscure camera parameters. In this paper, a method for achieving close-up virtual view is proposed and it only...	[]	Validation
21,504	6	Title: WEARDA: recording wearable sensor data for human activity monitoring Abstract: We present WEARDA, the open source WEARable sensor Data Acquisition software package. WEARDA facilitates the acquisition of human activity data with smartwatches and is primarily aimed at researchers who require transparency, full con...	[]	Train
21,505	13	Title: BiERL: A Meta Evolutionary Reinforcement Learning Framework via Bilevel Optimization Abstract: Evolutionary reinforcement learning (ERL) algorithms recently raise attention in tackling complex reinforcement learning (RL) problems due to high parallelism, while they are prone to insufficient exploration or model ...	[]	Train
21,506	16	Title: Cooperative Saliency-based Obstacle Detection and AR Rendering for Increased Situational Awareness Abstract: Autonomous vehicles are expected to operate safely in real-life road conditions in the next years. Nevertheless, unanticipated events such as the existence of unexpected objects in the range of the road, ...	[]	Validation
21,507	16	Title: Knowledge Enhanced Model for Live Video Comment Generation Abstract: Live video commenting is popular on video media platforms, as it can create a chatting atmosphere and provide supplementary information for users while watching videos. Automatically generating live video comments can improve user experience an...	[]	Test
21,508	16	Title: Spatio-Temporal Domain Awareness for Multi-Agent Collaborative Perception Abstract: Multi-agent collaborative perception as a potential application for vehicle-to-everything communication could significantly improve the perception performance of autonomous vehicles over single-agent perception. However, several ...	[ 10265, 42771, 44574 ]	Validation
21,509	23	Title: Copilot for Xcode: Exploring AI-Assisted Programming by Prompting Cloud-based Large Language Models Abstract: This paper presents an AI-assisted programming tool called Copilot for Xcode for program composition and design to support human software developers. By seamlessly integrating cloud-based Large Language ...	[ 33220, 29396, 33391 ]	Train
21,510	1	Title: Computational Creativity: Compose the Music for a Movie using only its Automatically Extracted Brightness Curve Abstract: Since its conception, the computer has found applications to accompany human creativity. Today, the debate about computers and creativity involves several challenges, such as understanding hu...	[]	Validation
21,511	7	Title: Optimal Design of Validation Experiments for the Prediction of Quantities of Interest Abstract: nan	[]	Test
21,512	1	Title: Prompting Vision Language Model with Knowledge from Large Language Model for Knowledge-Based VQA Abstract: Knowledge-based visual question answering is a very challenging and widely concerned task. Previous methods adopts the implicit knowledge in large language models (LLM) to achieve excellent results, but we ...	[ 10624, 41104, 27454 ]	Train
21,513	16	Title: Sat2Cap: Mapping Fine-Grained Textual Descriptions from Satellite Images Abstract: We propose a novel weakly supervised approach for creating maps using free-form textual descriptions (or captions). We refer to this new line of work of creating textual maps as zero-shot mapping. Prior works have approached mappi...	[]	Train
21,514	33	Title: Finitely Presentable Higher-Dimensional Automata and the Irrationality of Process Replication Abstract: Higher-dimensional automata (HDA) are a formalism to model the behaviour of concurrent systems. They are similar to ordinary automata but allow transitions in higher dimensions, effectively enabling multiple a...	[]	Validation
21,515	16	Title: Towards Real-time Text-driven Image Manipulation with Unconditional Diffusion Models Abstract: Recent advances in diffusion models enable many powerful instruments for image editing. One of these instruments is text-driven image manipulations: editing semantic attributes of an image according to the provided tex...	[ 7078 ]	Test
21,516	16	Title: Seed Feature Maps-based CNN Models for LEO Satellite Remote Sensing Services Abstract: Deploying high-performance convolutional neural network (CNN) models on low-earth orbit (LEO) satellites for rapid remote sensing image processing has attracted significant interest from industry and academia. However, the lim...	[ 44374 ]	Test
21,517	16	Title: Optimizing Kernel-Target Alignment for cloud detection in multispectral satellite images Abstract: The optimization of Kernel-Target Alignment (TA) has been recently proposed as a way to reduce the number of hardware resources in quantum classifiers. It allows to exchange highly expressive and costly circuits to...	[]	Test
21,518	10	Title: ARNOLD: A Benchmark for Language-Grounded Task Learning With Continuous States in Realistic 3D Scenes Abstract: Understanding the continuous states of objects is essential for task learning and planning in the real world. However, most existing task learning benchmarks assume discrete (e.g., binary) object goal ...	[ 16900, 27782, 8983, 12051, 10199, 45977, 32091, 13564 ]	Train
21,519	24	Title: Density peak clustering using tensor network Abstract: Tensor networks, which have been traditionally used to simulate many-body physics, have recently gained significant attention in the field of machine learning due to their powerful representation capabilities. In this work, we propose a density-based cluster...	[]	Train
21,520	16	Title: One-Shot Stylization for Full-Body Human Images Abstract: The goal of human stylization is to transfer full-body human photos to a style specified by a single art character reference image. Although previous work has succeeded in example-based stylization of faces and generic scenes, full-body human stylization ...	[]	Train
21,521	27	Title: Correcting Motion Distortion for LIDAR HD-Map Localization Abstract: Because scanning-LIDAR sensors require finite time to create a point cloud, sensor motion during a scan warps the resulting image, a phenomenon known as motion distortion or rolling shutter. Motion-distortion correction methods exist, but they ...	[]	Train
21,522	30	Title: Recent Trends in Unsupervised Summarization Abstract: Unsupervised summarization is a powerful technique that enables training summarizing models without requiring labeled datasets. This survey covers different recent techniques and models used for unsupervised summarization. We cover extractive, abstractive, an...	[]	Train
21,523	24	Title: FLARE: Detection and Mitigation of Concept Drift for Federated Learning based IoT Deployments Abstract: Intelligent, large-scale IoT ecosystems have become possible due to recent advancements in sensing technologies, distributed learning, and low-power inference in embedded devices. In traditional cloud-centric ...	[]	Test
21,524	16	Title: Multi-scale Cross-restoration Framework for Electrocardiogram Anomaly Detection Abstract: Electrocardiogram (ECG) is a widely used diagnostic tool for detecting heart conditions. Rare cardiac diseases may be underdiagnosed using traditional ECG analysis, considering that no training dataset can exhaust all possi...	[]	Test
21,525	34	Title: Efficient Parallel Output-Sensitive Edit Distance Abstract: Given two strings $A[1..n]$ and $B[1..m]$, and a set of operations allowed to edit the strings, the edit distance between $A$ and $B$ is the minimum number of operations required to transform $A$ into $B$. Sequentially, a standard Dynamic Programming (D...	[ 40467 ]	Train
21,526	4	Title: Open SESAME: Fighting Botnets with Seed Reconstructions of Domain Generation Algorithms Abstract: An important aspect of many botnets is their capability to generate pseudorandom domain names using Domain Generation Algorithms (DGAs). A cyber criminal can register such domains to establish periodically changing ...	[]	Train
21,527	16	Title: Semantic Image Translation for Repairing the Texture Defects of Building Models Abstract: The accurate representation of 3D building models in urban environments is significantly hindered by challenges such as texture occlusion, blurring, and missing details, which are difficult to mitigate through standard phot...	[]	Train
21,528	6	Title: Portrayal: Leveraging NLP and Visualization for Analyzing Fictional Characters Abstract: Many creative writing tasks (e.g., fiction writing) require authors to write complex narrative components (e.g., characterization, events, dialogue) over the course of a long story. Similarly, literary scholars need to manua...	[]	Train
21,529	24	Title: Unprocessing Seven Years of Algorithmic Fairness Abstract: Seven years ago, researchers proposed a postprocessing method to equalize the error rates of a model across different demographic groups. The work launched hundreds of papers purporting to improve over the postprocessing baseline. We empirically evaluate...	[ 35402 ]	Train
21,530	10	Title: VSRQ: Quantitative Assessment Method for Safety Risk of Vehicle Intelligent Connected System Abstract: The field of intelligent connected in modern vehicles continues to expand, and the functions of vehicles become more and more complex with the development of the times. This has also led to an increasing number...	[]	Test
21,531	24	Title: Approximate, Adapt, Anonymize (3A): a Framework for Privacy Preserving Training Data Release for Machine Learning Abstract: The availability of large amounts of informative data is crucial for successful machine learning. However, in domains with sensitive information, the release of high-utility data which prot...	[]	Train
21,532	25	Title: On Batching Variable Size Inputs for Training End-to-End Speech Enhancement Systems Abstract: The performance of neural network-based speech enhancement systems is primarily influenced by the model architecture, whereas training times and computational resource utilization are primarily affected by training para...	[]	Validation
21,533	30	Title: DAPrompt: Deterministic Assumption Prompt Learning for Event Causality Identification Abstract: Event Causality Identification (ECI) aims at determining whether there is a causal relation between two event mentions. Conventional prompt learning designs a prompt template to first predict an answer word and then m...	[]	Test
21,534	30	Title: MythQA: Query-Based Large-Scale Check-Worthy Claim Detection through Multi-Answer Open-Domain Question Answering Abstract: Check-worthy claim detection aims at providing plausible misinformation to the downstream fact-checking systems or human experts to check. This is a crucial step toward accelerating the fact...	[]	Train
21,535	27	Title: Audio-based Roughness Sensing and Tactile Feedback for Haptic Perception in Telepresence Abstract: Haptic perception is highly important for immersive teleoperation of robots, especially for accomplishing manipulation tasks. We propose a low-cost haptic sensing and rendering system, which is capable of detecting...	[ 23981, 44158, 11863 ]	Train
21,536	16	Title: LUCYD: A Feature-Driven Richardson-Lucy Deconvolution Network Abstract: The process of acquiring microscopic images in life sciences often results in image degradation and corruption, characterised by the presence of noise and blur, which poses significant challenges in accurately analysing and interpreting the ...	[]	Validation
21,537	24	Title: Fractional Dynamics Foster Deep Learning of COPD Stage Prediction Abstract: Chronic obstructive pulmonary disease (COPD) is one of the leading causes of death worldwide. Current COPD diagnosis (i.e., spirometry) could be unreliable because the test depends on an adequate effort from the tester and testee. Moreov...	[]	Train
21,538	4	Title: vFedSec: Efficient Secure Aggregation for Vertical Federated Learning via Secure Layer Abstract: Most work in privacy-preserving federated learning (FL) has been focusing on horizontally partitioned datasets where clients share the same sets of features and can train complete models independently. However, in ma...	[]	Test
21,539	24	Title: Improving Accented Speech Recognition with Multi-Domain Training Abstract: Thanks to the rise of self-supervised learning, automatic speech recognition (ASR) systems now achieve near-human performance on a wide variety of datasets. However, they still lack generalization capability and are not robust to domain s...	[]	Validation
21,540	30	Title: H-AES: Towards Automated Essay Scoring for Hindi Abstract: The use of Natural Language Processing (NLP) for Automated Essay Scoring (AES) has been well explored in the English language, with benchmark models exhibiting performance comparable to human scorers. However, AES in Hindi and other low-resource language...	[]	Test
21,541	10	Title: InterAct: Exploring the Potentials of ChatGPT as a Cooperative Agent Abstract: This research paper delves into the integration of OpenAI's ChatGPT into embodied agent systems, evaluating its influence on interactive decision-making benchmark. Drawing a parallel to the concept of people assuming roles according t...	[ 22115, 33220, 33477, 30087, 295, 17789, 575 ]	Train
21,542	34	Title: Approximately counting independent sets in dense bipartite graphs via subspace enumeration Abstract: We give a randomized algorithm that approximates the number of independent sets in a dense, regular bipartite graph -- in the language of approximate counting, we give an FPRAS for #BIS on the class of dense, reg...	[]	Train
21,543	24	Title: Angel-PTM: A Scalable and Economical Large-scale Pre-training System in Tencent Abstract: Recent years have witnessed the unprecedented achievements of large-scale pre-trained models, especially the Transformer models. Many products and services in Tencent Inc., such as WeChat, QQ, and Tencent Advertisement, hav...	[ 38032, 35595 ]	Train
21,544	6	Title: Co-creating a Transdisciplinary Map of Technology-mediated Harms, Risks and Vulnerabilities: Challenges, Ambivalences and Opportunities Abstract: The phrase"online harms"has emerged in recent years out of a growing political willingness to address the ethical and social issues associated with the use of the Inte...	[]	Validation
21,545	32	Title: Integrating Enzyme-generated functions into CoDiPack Abstract: In operator overloading algorithmic differentiation, it can be beneficial to create custom derivative functions for some parts of the code base. For manual implementations of the derivative functions, it can be quite cumbersome to derive, implement, ...	[]	Validation
21,546	24	Title: Learning Rewards to Optimize Global Performance Metrics in Deep Reinforcement Learning Abstract: When applying reinforcement learning (RL) to a new problem, reward engineering is a necessary, but often difficult and error-prone task a system designer has to face. To avoid this step, we propose LR4GPM, a novel (d...	[ 19448 ]	Test
21,547	20	Title: Min-k-planar Drawings of Graphs Abstract: The study of nonplanar drawings of graphs with restricted crossing configurations is a well-established topic in graph drawing, often referred to as beyond-planar graph drawing. One of the most studied types of drawings in this area are the $k$-planar drawings $(k \geq 1...	[]	Train
21,548	3	Title: Agency and legibility for artists through Experiential AI Abstract: Experiential AI is an emerging research field that addresses the challenge of making AI tangible and explicit, both to fuel cultural experiences for audiences, and to make AI systems more accessible to human understanding. The central theme is h...	[ 26010 ]	Validation
21,549	16	Title: JOTR: 3D Joint Contrastive Learning with Transformers for Occluded Human Mesh Recovery Abstract: In this study, we focus on the problem of 3D human mesh recovery from a single image under obscured conditions. Most state-of-the-art methods aim to improve 2D alignment technologies, such as spatial averaging and 2D...	[ 6560, 44001, 19234 ]	Train
21,550	10	Title: Multitask Weakly Supervised Learning for Origin Destination Travel Time Estimation Abstract: Travel time estimation from GPS trips is of great importance to order duration, ridesharing, taxi dispatching, etc. However, the dense trajectory is not always available due to the limitation of data privacy and acquisit...	[ 35597 ]	Train
21,551	6	Title: ReelFramer: Co-creating News Reels on Social Media with Generative AI Abstract: Short videos on social media are a prime way many young people find and consume content. News outlets would like to reach audiences through news reels, but currently struggle to translate traditional journalistic formats into the sho...	[ 22722 ]	Train
21,552	2	Title: Quantitative Verification of Scheduling Heuristics Abstract: Computer systems use many scheduling heuristics to allo-cate resources. Understanding their performance properties is hard because it requires a representative workload and exten-sive code instrumentation. As a result, widely deployed schedulers can ma...	[ 18194 ]	Train
21,553	27	Title: Online Multi-Contact Receding Horizon Planning via Value Function Approximation Abstract: Planning multi-contact motions in a receding horizon fashion requires a value function to guide the planning with respect to the future, e.g., building momentum to traverse large obstacles. Traditionally, the value function...	[]	Train
21,554	16	Title: Label Name is Mantra: Unifying Point Cloud Segmentation across Heterogeneous Datasets Abstract: Point cloud segmentation is a fundamental task in 3D vision that serves a wide range of applications. Although great progresses have been made these years, its practical usability is still limited by the availability ...	[]	Train
21,555	24	Title: Latent Autoregressive Source Separation Abstract: Autoregressive models have achieved impressive results over a wide range of domains in terms of generation quality and downstream task performance. In the continuous domain, a key factor behind this success is the usage of quantized latent spaces (e.g., obtained ...	[ 528, 1609, 18739 ]	Train
21,556	30	Title: Word segmentation granularity in Korean Abstract: This paper describes word {segmentation} granularity in Korean language processing. From a word separated by blank space, which is termed an eojeol, to a sequence of morphemes in Korean, there are multiple possible levels of word segmentation granularity in Korea...	[]	Validation
21,557	8	Title: Towards Energy Efficiency in RAN Network Slicing Abstract: Network slicing is one of the major catalysts to turn future telecommunication networks into versatile service platforms. Along with its benefits, network slicing is introducing new challenges in the development of sustainable network operations. In fact...	[]	Train
21,558	31	Title: MDDL: A Framework for Reinforcement Learning-based Position Allocation in Multi-Channel Feed Abstract: Nowadays, the mainstream approach in position allocation system is to utilize a reinforcement learning model to allocate appropriate locations for items in various channels and then mix them into the feed. Ther...	[]	Train
21,559	4	Title: SCART: Simulation of Cyber Attacks for Real-Time Abstract: Real-Time systems are often implemented as reactive systems that respond to stimuli and complete tasks in a known bounded time. The development process of such systems usually involves using a cycle-accurate simulation environment and even the digital tw...	[]	Validation
21,560	2	Title: A new calculus for intuitionistic Strong Löb logic: strong termination and cut-elimination, formalised Abstract: We provide a new sequent calculus that enjoys syntactic cut-elimination and strongly terminating backward proof search for the intuitionistic Strong L\"ob logic $\sf{iSL}$, an intuitionistic modal log...	[]	Train
21,561	16	Title: GeoTransformer: Fast and Robust Point Cloud Registration With Geometric Transformer Abstract: We study the problem of extracting accurate correspondences for point cloud registration. Recent keypoint-free methods have shown great potential through bypassing the detection of repeatable keypoints which is difficul...	[ 36321 ]	Test
21,562	7	Title: AI-powered Fraud Detection in Decentralized Finance: A Project Life Cycle Perspective Abstract: In recent years, blockchain technology has introduced decentralized finance (DeFi) as an alternative to traditional financial systems. DeFi aims to create a transparent and efficient financial ecosystem using smart co...	[ 40192, 27977, 26090, 13579, 16556, 36075, 28045, 35226, 18864, 45361, 24308, 40314, 44926 ]	Validation
21,563	16	Title: Img2Tab: Automatic Class Relevant Concept Discovery from StyleGAN Features for Explainable Image Classification Abstract: Traditional tabular classifiers provide explainable decision-making with interpretable features(concepts). However, using their explainability in vision tasks has been limited due to the pixe...	[]	Train
21,564	16	Title: Deep Metric Learning with Soft Orthogonal Proxies Abstract: Deep Metric Learning (DML) models rely on strong representations and similarity-based measures with specific loss functions. Proxy-based losses have shown great performance compared to pair-based losses in terms of convergence speed. However, proxies th...	[]	Train
21,565	16	Title: Approximated Prompt Tuning for Vision-Language Pre-trained Models Abstract: Prompt tuning is a parameter-efficient way to deploy large-scale pre-trained models to downstream tasks by adding task-specific tokens. In terms of vision-language pre-trained (VLP) models, prompt tuning often requires a large number of ...	[]	Validation
21,566	16	Title: Unveiling the Two-Faced Truth: Disentangling Morphed Identities for Face Morphing Detection Abstract: Morphing attacks keep threatening biometric systems, especially face recognition systems. Over time they have become simpler to perform and more realistic, as such, the usage of deep learning systems to detect t...	[ 29712 ]	Validation
21,567	24	Title: Normalization Enhances Generalization in Visual Reinforcement Learning Abstract: Recent advances in visual reinforcement learning (RL) have led to impressive success in handling complex tasks. However, these methods have demonstrated limited generalization capability to visual disturbances, which poses a signifi...	[ 5195 ]	Validation
21,568	28	Title: Asymptotic Analysis of the Downlink in Cooperative Massive MIMO Systems Abstract: We consider the downlink of a cooperative cellular communications system, where several base-stations around each mobile cooperate and perform zero-forcing to reduce the received interference at the mobile. We derive closed-form ex...	[]	Test
21,569	2	Title: The Probabilistic Rabin Tree Theorem* Abstract: The Rabin tree theorem yields an algorithm to solve the satisfiability problem for monadic second-order logic over infinite trees. Here we solve the probabilistic variant of this problem. Namely, we show how to compute the probability that a randomly chosen tree sa...	[]	Train
21,570	16	Title: DINF: Dynamic Instance Noise Filter for Occluded Pedestrian Detection Abstract: Occlusion issue is the biggest challenge in pedestrian detection. RCNN-based detectors extract instance features by cropping rectangle regions of interest in the feature maps. However, the visible pixels of the occluded objects are l...	[]	Validation
21,571	16	Title: Diffusion Models Beat GANs on Image Classification Abstract: While many unsupervised learning models focus on one family of tasks, either generative or discriminative, we explore the possibility of a unified representation learner: a model which uses a single pre-training stage to address both families of tasks ...	[ 4643 ]	Train
21,572	4	Title: A Survey on Malware Detection with Graph Representation Learning Abstract: Malware detection has become a major concern due to the increasing number and complexity of malware. Traditional detection methods based on signatures and heuristics are used for malware detection, but unfortunately, they suffer from poor...	[ 3985, 7500 ]	Train
21,573	10	Title: Applying Ising Machines to Multi-objective QUBOs Abstract: Multi-objective optimisation problems involve finding solutions with varying trade-offs between multiple and often conflicting objectives. Ising machines are physical devices that aim to find the absolute or approximate ground states of an Ising model. T...	[]	Train
21,574	30	Title: Spanish Pre-trained BERT Model and Evaluation Data Abstract: The Spanish language is one of the top 5 spoken languages in the world. Nevertheless, finding resources to train or evaluate Spanish language models is not an easy task. In this paper we help bridge this gap by presenting a BERT-based language model pr...	[ 26501, 21639, 5769, 40593, 24608, 15394, 31666, 30517, 822, 24764, 45635, 36820, 45273, 34140, 36319, 7135, 14576, 1781, 24957 ]	Train
21,575	27	Title: Does Unpredictability Influence Driving Behavior? Abstract: In this paper we investigate the effect of the unpredictability of surrounding cars on an ego-car performing a driving maneuver. We use Maximum Entropy Inverse Reinforcement Learning to model reward functions for an ego-car conducting a lane change in a...	[]	Test
21,576	30	Title: What is the best recipe for character-level encoder-only modelling? Abstract: This paper aims to benchmark recent progress in language understanding models that output contextualised representations at the character level. Many such modelling architectures and methods to train those architectures have been propo...	[]	Train
21,577	16	Title: Color Image Recovery Using Generalized Matrix Completion over Higher-Order Finite Dimensional Algebra Abstract: To improve the accuracy of color image completion with missing entries, we present a recovery method based on generalized higher-order scalars. We extend the traditional second-order matrix model to a ...	[]	Train

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