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
45,878	24	Title: Physics-constrained robust learning of open-form PDEs from limited and noisy data Abstract: Unveiling the underlying governing equations of nonlinear dynamic systems remains a significant challenge, especially when encountering noisy observations and no prior knowledge available. This study proposes R-DISCOVER, ...	[]	Test
45,879	30	Title: Improving Translation Faithfulness of Large Language Models via Augmenting Instructions Abstract: Large Language Models (LLMs) present strong general capabilities, and a current compelling challenge is stimulating their specialized capabilities, such as machine translation, through low-cost instruction tuning. T...	[ 40192, 39873, 19010, 21956, 25892, 34347, 23420, 1789 ]	Train
45,880	4	Title: Development of Cybersecurity Norms for Space Systems Abstract: This paper addresses: Evolution of the space systems environment, including space system proliferation and space systems as critical infrastructure Cyber threats to, and vulnerabilities of, space systems Alternative approaches to meeting these threat...	[]	Test
45,881	24	Title: "Private Prediction Strikes Back!" Private Kernelized Nearest Neighbors with Individual Renyi Filter Abstract: Most existing approaches of differentially private (DP) machine learning focus on private training. Despite its many advantages, private training lacks the flexibility in adapting to incremental changes...	[ 12774 ]	Test
45,882	27	Title: Modeling and Control of a novel Variable Stiffness three DoF Wrist Abstract: This paper presents a novel design for a Variable Stiffness 3 DoF actuated wrist to improve task adaptability and safety during interactions with people and objects. The proposed design employs a hybrid serial-parallel configuration to ...	[]	Validation
45,883	5	Title: Towards Energy Consumption and Carbon Footprint Testing for AI-driven IoT Services Abstract: Energy consumption and carbon emissions are expected to be crucial factors for Internet of Things (IoT) applications. Both the scale and the geo-distribution keep increasing, while Artificial Intelligence (AI) further pe...	[]	Test
45,884	37	Title: Data Station: Delegated, Trustworthy, and Auditable Computation to Enable Data-Sharing Consortia with a Data Escrow Abstract: Pooling and sharing data increases and distributes its value. But since data cannot be revoked once shared, scenarios that require controlled release of data for regulatory, privacy, and ...	[]	Test
45,885	27	Title: Communicating Robot's Intentions while Assisting Users via Augmented Reality Abstract: This paper explores the challenges faced by assistive robots in effectively cooperating with humans, requiring them to anticipate human behavior, predict their actions' impact, and generate understandable robot actions. The st...	[ 6670 ]	Train
45,886	23	Title: Mining Reviews in Open Source Code for Developers Trail: A Process Mining Approach Abstract: Audit trails are evidential indications of activities performers in any logs. Modern reactive systems such as transaction processing systems, management information systems, decision support systems and even executive ma...	[]	Validation
45,887	16	Title: Multi-Prompt with Depth Partitioned Cross-Modal Learning Abstract: In recent years, soft prompt learning methods have been proposed to fine-tune large-scale vision-language pre-trained models for various downstream tasks. These methods typically combine learnable textual tokens with class tokens as input for mod...	[ 10624, 6556 ]	Train
45,888	30	Title: PolyVoice: Language Models for Speech to Speech Translation Abstract: We propose PolyVoice, a language model-based framework for speech-to-speech translation (S2ST) system. Our framework consists of two language models: a translation language model and a speech synthesis language model. We use discretized speech...	[ 38785, 9639, 26153, 21778, 18777 ]	Train
45,889	6	Title: Who Is Alyx? A new Behavioral Biometric Dataset for User Identification in XR Abstract: This article presents a new dataset containing motion and physiological data of users playing the game"Half-Life: Alyx". The dataset specifically targets behavioral and biometric identification of XR users. It includes motion...	[ 45069 ]	Train
45,890	24	Title: MentalHealthAI: Utilizing Personal Health Device Data to Optimize Psychiatry Treatment Abstract: Mental health disorders remain a significant challenge in modern healthcare, with diagnosis and treatment often relying on subjective patient descriptions and past medical history. To address this issue, we propose a...	[]	Validation
45,891	24	Title: AGFormer: Efficient Graph Representation with Anchor-Graph Transformer Abstract: To alleviate the local receptive issue of GCN, Transformers have been exploited to capture the long range dependences of nodes for graph data representation and learning. However, existing graph Transformers generally employ regular...	[ 32301 ]	Test
45,892	16	Title: CageViT: Convolutional Activation Guided Efficient Vision Transformer Abstract: Recently, Transformers have emerged as the go-to architecture for both vision and language modeling tasks, but their computational efficiency is limited by the length of the input sequence. To address this, several efficient variants...	[]	Validation
45,893	24	Title: GNN-based physics solver for time-independent PDEs Abstract: Physics-based deep learning frameworks have shown to be effective in accurately modeling the dynamics of complex physical systems with generalization capability across problem inputs. However, time-independent problems pose the challenge of requiring l...	[]	Validation
45,894	30	Title: Understanding Shared Speech-Text Representations Abstract: Recently, a number of approaches to train speech models by incorpo-rating text into end-to-end models have been developed, with Mae-stro advancing state-of-the-art automatic speech recognition (ASR)and Speech Translation (ST) performance. In this paper, ...	[]	Test
45,895	16	Title: Why Capsule Neural Networks Do Not Scale: Challenging the Dynamic Parse-Tree Assumption Abstract: Capsule neural networks replace simple, scalar-valued neurons with vector-valued capsules. They are motivated by the pattern recognition system in the human brain, where complex objects are decomposed into a hierarc...	[ 21665, 22305 ]	Test
45,896	13	Title: Does a sparse ReLU network training problem always admit an optimum? Abstract: Given a training set, a loss function, and a neural network architecture, it is often taken for granted that optimal network parameters exist, and a common practice is to apply available optimization algorithms to search for them. In ...	[]	Train
45,897	16	Title: Beyond One-Hot-Encoding: Injecting Semantics to Drive Image Classifiers Abstract: Images are loaded with semantic information that pertains to real-world ontologies: dog breeds share mammalian similarities, food pictures are often depicted in domestic environments, and so on. However, when training machine learn...	[]	Train
45,898	31	Title: Do LLMs Understand User Preferences? Evaluating LLMs On User Rating Prediction Abstract: Large Language Models (LLMs) have demonstrated exceptional capabilities in generalizing to new tasks in a zero-shot or few-shot manner. However, the extent to which LLMs can comprehend user preferences based on their previou...	[ 4610, 21252, 13700, 3335, 19084, 32652, 27281, 35101, 30764, 36142, 30131, 10676, 9917, 969, 14282, 19159, 12251, 45406, 7665 ]	Train
45,899	24	Title: Graph Mixture of Experts: Learning on Large-Scale Graphs with Explicit Diversity Modeling Abstract: Graph neural networks (GNNs) have been widely applied to learning over graph data. Yet, real-world graphs commonly exhibit diverse graph structures and contain heterogeneous nodes and edges. Moreover, to enhance t...	[]	Test
45,900	30	Title: Using Natural Language Processing and Networks to Automate Structured Literature Reviews: An Application to Farmers Climate Change Adaptation Abstract: The fast-growing number of research articles makes it problematic for scholars to keep track of the new findings related to their areas of expertise. Furthermore...	[]	Test
45,901	34	Title: 2-Approximation for Prize-Collecting Steiner Forest Abstract: Approximation algorithms for the prize-collecting Steiner forest problem (PCSF) have been a subject of research for over three decades, starting with the seminal works of Agrawal, Klein, and Ravi and Goemans and Williamson on Steiner forest and prize-...	[]	Train
45,902	5	Title: DSSP: A Distributed, SLO-aware, Sensing-domain-privacy-Preserving Architecture for Sensing-as-a-Service Abstract: In this paper, we propose DSSP, a Distributed, SLO-aware, Sensing-domain-privacy-Preserving architecture for Sensing-as-a-Service (SaS). DSSP addresses four major limitations of the current SaS archi...	[]	Train
45,903	16	Title: Robust Representation Learning with Self-Distillation for Domain Generalization Abstract: Domain generalization is a challenging problem in machine learning, where the goal is to train a model that can generalize well to unseen target domains without prior knowledge of these domains. Despite the recent success o...	[]	Train
45,904	17	Title: Recognising geometric primitives in 3D point clouds of mechanical CAD objects Abstract: nan	[]	Train
45,905	30	Title: Generative Interpretation Abstract: We introduce generative interpretation, a new approach to estimating contractual meaning using large language models. As AI triumphalism is the order of the day, we proceed by way of grounded case studies, each illustrating the capabilities of these novel tools in distinct way...	[ 13224, 30668 ]	Train
45,906	24	Title: Understanding why shooters shoot - An AI-powered engine for basketball performance profiling Abstract: Understanding player shooting profiles is an essential part of basketball analysis: knowing where certain opposing players like to shoot from can help coaches neutralize offensive gameplans from their opponents...	[]	Test
45,907	24	Title: Asymptotically Efficient Online Learning for Censored Regression Models Under Non-I.I.D Data Abstract: The asymptotically efficient online learning problem is investigated for stochastic censored regression models, which arise from various fields of learning and statistics but up to now still lacks comprehensive...	[]	Train
45,908	37	Title: ETL for the integration of remote sensing data Abstract: Modern in-orbit satellites and other available remote sensing tools have generated a huge availability of public data waiting to be exploited in different formats hosted on different servers. In this context, ETL formalism becomes relevant for the integrat...	[]	Validation
45,909	30	Title: How susceptible are LLMs to Logical Fallacies? Abstract: This paper investigates the rational thinking capability of Large Language Models (LLMs) in multi-round argumentative debates by exploring the impact of fallacious arguments on their logical reasoning performance. More specifically, we present Logic Compet...	[ 40192, 28962, 35427, 43298, 42949, 2506, 22444, 5078, 345 ]	Train
45,910	28	Title: New Closed-Form ASER Expressions for Dual-Hop Mixed THz-RF Cooperative Relay Networks Abstract: In this paper, we consider a dual-hop mixed THz-RF system model for backhaul-fronthaul applications where the link between source and destination is established only through the relay node in which decode-and-forward ...	[]	Validation
45,911	4	Title: Dissecting Code Vulnerabilities: Insights from C++ and Java Vulnerability Analysis with ReVeal Model Abstract: This study presents an analysis conducted on a real-world dataset of Java vulnerability-fixing commits. The dataset consists of commits with varying numbers of modified methods, leading to a natural par...	[]	Train
45,912	27	Title: Rolling control and dynamics model of two section articulated-wing ornithopter Abstract: This paper invented a new rolling control mechanism of two section articulated-wing ornithopter, which is analogues to aileron control in plane, however, similar control mechanism leads to opposite result, indicating the orn...	[]	Train
45,913	16	Title: Learning Semantic-Aware Knowledge Guidance for Low-Light Image Enhancement Abstract: Low-light image enhancement (LLIE) investigates how to improve illumination and produce normal-light images. The majority of existing methods improve low-light images via a global and uniform manner, without taking into account ...	[ 10492, 11606 ]	Validation
45,914	25	Title: Enhancing Quantised End-to-End ASR Models via Personalisation Abstract: Recent end-to-end automatic speech recognition (ASR) models have become increasingly larger, making them particularly challenging to be deployed on resource-constrained devices. Model quantisation is an effective solution that sometimes caus...	[ 19089, 5815 ]	Validation
45,915	27	Title: Revisiting the Minimum Constraint Removal Problem in Mobile Robotics Abstract: The minimum constraint removal problem seeks to find the minimum number of constraints, i.e., obstacles, that need to be removed to connect a start to a goal location with a collision-free path. This problem is NP-hard and has been st...	[ 22348 ]	Train
45,916	4	Title: OSmosis: No more D\'ej\`a vu in OS isolation Abstract: Operating systems provide an abstraction layer between the hardware and higher-level software. Many abstractions, such as threads, processes, containers, and virtual machines, are mechanisms to provide isolation. New application scenarios frequently introduc...	[]	Validation
45,917	24	Title: Capacity Analysis of Vector Symbolic Architectures Abstract: Hyperdimensional computing (HDC) is a biologically-inspired framework which represents symbols with high-dimensional vectors, and uses vector operations to manipulate them. The ensemble of a particular vector space and a prescribed set of vector operat...	[ 6098, 28451, 37959 ]	Train
45,918	4	Title: Towards Low-Barrier Cybersecurity Research and Education for Industrial Control Systems Abstract: The protection of Industrial Control Systems (ICS) that are employed in public critical infrastructures is of utmost importance due to catastrophic physical damages cyberattacks may cause. The research community req...	[]	Validation
45,919	10	Title: What's the Problem, Linda? The Conjunction Fallacy as a Fairness Problem Abstract: The field of Artificial Intelligence (AI) is focusing on creating automated decision-making (ADM) systems that operate as close as possible to human-like intelligence. This effort has pushed AI researchers into exploring cognitive...	[]	Validation
45,920	24	Title: Deep Graph Neural Networks via Flexible Subgraph Aggregation Abstract: Graph neural networks (GNNs), a type of neural network that can learn from graph-structured data and learn the representation of nodes through aggregating neighborhood information, have shown superior performance in various downstream tasks. ...	[]	Train
45,921	16	Title: Master: Meta Style Transformer for Controllable Zero-Shot and Few-Shot Artistic Style Transfer Abstract: Transformer-based models achieve favorable performance in artistic style transfer recently thanks to its global receptive field and powerful multi-head/layer attention operations. Nevertheless, the over-param...	[ 20232, 13855 ]	Train
45,922	16	Title: BTSeg: Barlow Twins Regularization for Domain Adaptation in Semantic Segmentation Abstract: Semantic image segmentation is a critical component in many computer vision systems, such as autonomous driving. In such applications, adverse conditions (heavy rain, night time, snow, extreme lighting) on the one hand po...	[ 30829 ]	Validation
45,923	10	Title: Open Problems and Fundamental Limitations of Reinforcement Learning from Human Feedback Abstract: Reinforcement learning from human feedback (RLHF) is a technique for training AI systems to align with human goals. RLHF has emerged as the central method used to finetune state-of-the-art large language models (LLM...	[ 17920, 17282, 25734, 40966, 15881, 15244, 33933, 4111, 7956, 3861, 40725, 13082, 32410, 10012, 17789, 17438, 28575, 41122, 10660, 13349, 8231, 34987, 25772, 7085, 10030, 10800, 4658, 27188, 39092, 6328, 22201, 24760, 17346, 28356, 15685, 13257, ...	Test
45,924	24	Title: Improving Heterogeneous Graph Learning with Weighted Mixed-Curvature Product Manifold Abstract: In graph representation learning, it is important that the complex geometric structure of the input graph, e.g. hidden relations among nodes, is well captured in embedding space. However, standard Euclidean embedding ...	[]	Train
45,925	16	Title: PlaNeRF: SVD Unsupervised 3D Plane Regularization for NeRF Large-Scale Scene Reconstruction Abstract: Neural Radiance Fields (NeRF) enable 3D scene reconstruction from 2D images and camera poses for Novel View Synthesis (NVS). Although NeRF can produce photorealistic results, it often suffers from overfitting to...	[ 3896, 3377, 29000, 44143 ]	Train
45,926	5	Title: PoCL-R: An Open Standard Based Offloading Layer for Heterogeneous Multi-Access Edge Computing with Server Side Scalability Abstract: We propose a novel computing runtime that exposes remote compute devices via the cross-vendor open heterogeneous computing standard OpenCL and can execute compute tasks on the MEC ...	[]	Test
45,927	3	Title: VendorLink: An NLP approach for Identifying & Linking Vendor Migrants & Potential Aliases on Darknet Markets Abstract: The anonymity on the Darknet allows vendors to stay undetected by using multiple vendor aliases or frequently migrating between markets. Consequently, illegal markets and their connections are c...	[]	Train
45,928	30	Title: Parameter-Efficient Fine-Tuning without Introducing New Latency Abstract: Parameter-efficient fine-tuning (PEFT) of pre-trained language models has recently demonstrated remarkable achievements, effectively matching the performance of full fine-tuning while utilizing significantly fewer trainable parameters, and...	[ 13700 ]	Train
45,929	10	Title: Query-Efficient Black-Box Red Teaming via Bayesian Optimization Abstract: The deployment of large-scale generative models is often restricted by their potential risk of causing harm to users in unpredictable ways. We focus on the problem of black-box red teaming, where a red team generates test cases and interac...	[ 10252, 16221 ]	Train
45,930	16	Title: Learning-based Relational Object Matching Across Views Abstract: Intelligent robots require object-level scene understanding to reason about possible tasks and interactions with the environment. Moreover, many perception tasks such as scene reconstruction, image retrieval, or place recognition can benefit from r...	[]	Validation
45,931	24	Title: CARNA: Characterizing Advanced heart failure Risk and hemodyNAmic phenotypes using learned multi-valued decision diagrams Abstract: Early identification of high risk heart failure (HF) patients is key to timely allocation of life-saving therapies. Hemodynamic assessments can facilitate risk stratification and en...	[]	Train
45,932	16	Title: A Dynamic Feature Interaction Framework for Multi-task Visual Perception Abstract: Multi-task visual perception has a wide range of applications in scene understanding such as autonomous driving. In this work, we devise an efficient unified framework to solve multiple common perception tasks, including instance ...	[ 23717 ]	Train
45,933	16	Title: Grounded Text-to-Image Synthesis with Attention Refocusing Abstract: Driven by scalable diffusion models trained on large-scale paired text-image datasets, text-to-image synthesis methods have shown compelling results. However, these models still fail to precisely follow the text prompt when multiple objects, at...	[ 3203, 13700, 37126, 1419, 7955, 34074, 2211, 18220, 41517, 41146, 30402, 21828, 33220, 20435, 20949, 34522, 43867, 28382, 14047, 20451, 3690, 28532, 36084, 3067 ]	Validation
45,934	16	Title: Rethinking Intersection Over Union for Small Object Detection in Few-Shot Regime Abstract: In Few-Shot Object Detection (FSOD), detecting small objects is extremely difficult. The limited supervision cripples the localization capabilities of the models and a few pixels shift can dramatically reduce the Intersect...	[]	Train
45,935	30	Title: Position Matters! Empirical Study of Order Effect in Knowledge-grounded Dialogue Abstract: With the power of large pretrained language models, various research works have integrated knowledge into dialogue systems. The traditional techniques treat knowledge as part of the input sequence for the dialogue system, ...	[ 19778 ]	Train
45,936	31	Title: MB-HGCN: A Hierarchical Graph Convolutional Network for Multi-behavior Recommendation Abstract: Collaborative filtering-based recommender systems that rely on a single type of behavior often encounter serious sparsity issues in real-world applications, leading to unsatisfactory performance. Multi-behavior Recomm...	[]	Test
45,937	16	Title: Dynamic Interactive Relation Capturing via Scene Graph Learning for Robotic Surgical Report Generation Abstract: For robot-assisted surgery, an accurate surgical report reflects clinical operations during surgery and helps document entry tasks, post-operative analysis and follow-up treatment. It is a challenging...	[ 1503 ]	Validation
45,938	16	Title: Multi-Mode Online Knowledge Distillation for Self-Supervised Visual Representation Learning Abstract: Self-supervised learning (SSL) has made remarkable progress in visual representation learning. Some studies combine SSL with knowledge distillation (SSL-KD) to boost the representation learning performance of sm...	[ 17869 ]	Train
45,939	17	Title: The Influence of Variable Frame Timing on First-Person Gaming Abstract: Variable frame timing (VFT), or changes in the time intervals between discrete frame images displayed to users, deviates from our traditional conceptualization of frame rate in which all frame times are equal. With the advent of variable ref...	[]	Train
45,940	27	Title: GelSight Baby Fin Ray: A Compact, Compliant, Flexible Finger with High-Resolution Tactile Sensing Abstract: The synthesis of tactile sensing with compliance is essential to many fields, from agricultural usages like fruit picking, to sustainability practices such as sorting recycling, to the creation of safe hom...	[]	Train
45,941	16	Title: DEA-Net: Single image dehazing based on detail-enhanced convolution and content-guided attention Abstract: Single image dehazing is a challenging ill-posed problem which estimates latent haze-free images from observed hazy images. Some existing deep learning based methods are devoted to improving the model perfo...	[ 45506, 34991 ]	Validation
45,942	24	Title: Cluster-guided Contrastive Graph Clustering Network Abstract: Benefiting from the intrinsic supervision information exploitation capability, contrastive learning has achieved promising performance in the field of deep graph clustering recently. However, we observe that two drawbacks of the positive and negative ...	[ 4416, 38913, 26373, 1132, 9491, 44051, 11093, 11355, 24286 ]	Train
45,943	16	Title: SupFusion: Supervised LiDAR-Camera Fusion for 3D Object Detection Abstract: In this paper, we propose a novel training strategy called SupFusion, which provides an auxiliary feature level supervision for effective LiDAR-Camera fusion and significantly boosts detection performance. Our strategy involves a data en...	[]	Validation
45,944	27	Title: TBV Radar SLAM – Trust but Verify Loop Candidates Abstract: Robust SLAM in large-scale environments requires fault resilience and awareness at multiple stages, from sensing and odometry estimation to loop closure. In this work, we present TBV (Trust But Verify) Radar SLAM, a method for radar SLAM that introspect...	[ 37066, 27219, 46027 ]	Test
45,945	24	Title: Fuzziness-tuned: Improving the Transferability of Adversarial Examples Abstract: With the development of adversarial attacks, adversairal examples have been widely used to enhance the robustness of the training models on deep neural networks. Although considerable efforts of adversarial attacks on improving the ...	[]	Train
45,946	16	Title: Self-Paced Learning for Open-Set Domain Adaptation Abstract: Domain adaptation tackles the challenge of generalizing knowledge acquired from a source domain to a target domain with different data distributions. Traditional domain adaptation methods presume that the classes in the source and target domains are id...	[]	Train
45,947	23	Title: Source Code Recommender Systems: The Practitioners' Perspective Abstract: The automatic generation of source code is one of the long-lasting dreams in software engineering research. Several techniques have been proposed to speed up the writing of new code. For example, code completion techniques can recommend to...	[]	Validation
45,948	16	Title: Continual Source-Free Unsupervised Domain Adaptation Abstract: Existing Source-free Unsupervised Domain Adaptation (SUDA) approaches inherently exhibit catastrophic forgetting. Typically, models trained on a labeled source domain and adapted to unlabeled target data improve performance on the target while droppi...	[ 14618 ]	Train
45,949	16	Title: Guided Image-to-Image Translation by Discriminator-Generator Communication Abstract: The goal of Image-to-image (I2I) translation is to transfer an image from a source domain to a target domain, which has recently drawn increasing attention. One major branch of this research is to formulate I2I translation based...	[]	Validation
45,950	10	Title: Literature-based Discovery for Landscape Planning Abstract: This project demonstrates how medical corpus hypothesis generation, a knowledge discovery field of AI, can be used to derive new research angles for landscape and urban planners. The hypothesis generation approach herein consists of a combination of dee...	[]	Test
45,951	24	Title: Sparse PCA Beyond Covariance Thresholding Abstract: In the Wishart model for sparse PCA we are given $n$ samples $Y_1,\ldots, Y_n$ drawn independently from a $d$-dimensional Gaussian distribution $N({0, Id + \beta vv^\top})$, where $\beta>0$ and $v\in \mathbb{R}^d$ is a $k$-sparse unit vector, and we wish to rec...	[ 409 ]	Train
45,952	16	Title: Decompose, Adjust, Compose: Effective Normalization by Playing with Frequency for Domain Generalization Abstract: Domain generalization (DG) is a principal task to evaluate the robustness of computer vision models. Many previous studies have used normalization for DG. In normalization, statistics and normalized ...	[ 35966 ]	Test
45,953	16	Title: A Large-Scale Outdoor Multi-modal Dataset and Benchmark for Novel View Synthesis and Implicit Scene Reconstruction Abstract: Neural Radiance Fields (NeRF) has achieved impressive results in single object scene reconstruction and novel view synthesis, which have been demonstrated on many single modality and singl...	[]	Train
45,954	30	Title: HypR: A comprehensive study for ASR hypothesis revising with a reference corpus Abstract: With the development of deep learning, automatic speech recognition (ASR) has made significant progress. To further enhance the performance, revising recognition results is one of the lightweight but efficient manners. Vari...	[ 44937 ]	Train
45,955	27	Title: Soft Fluidic Closed-Loop Controller for Untethered Underwater Gliders Abstract: Soft underwater robots typically explore bio-inspired designs at the expense of power efficiency when compared to traditional underwater robots, which limits their practical use in real-world applications. We leverage a fluidic close...	[]	Validation
45,956	20	Title: Abstract Voronoi-like Graphs: Extending Delaunay's Theorem and Applications Abstract: Any system of bisectors (in the sense of abstract Voronoi diagrams) defines an arrangement of simple curves in the plane. We define Voronoi-like graphs on such an arrangement, which are graphs whose vertices are locally Voronoi...	[]	Test
45,957	30	Title: Can We Trust Explainable AI Methods on ASR? An Evaluation on Phoneme Recognition Abstract: Explainable AI (XAI) techniques have been widely used to help explain and understand the output of deep learning models in fields such as image classification and Natural Language Processing. Interest in using XAI techniqu...	[ 40065, 14571 ]	Train
45,958	16	Title: Feed-Forward Source-Free Domain Adaptation via Class Prototypes Abstract: Source-free domain adaptation has become popular because of its practical usefulness and no need to access source data. However, the adaptation process still takes a considerable amount of time and is predominantly based on optimization th...	[ 43608, 18065, 22247 ]	Test
45,959	16	Title: Transductive few-shot adapters for medical image segmentation Abstract: With the recent raise of foundation models in computer vision and NLP, the pretrain-and-adapt strategy, where a large-scale model is fine-tuned on downstream tasks, is gaining popularity. However, traditional fine-tuning approaches may still...	[ 38066 ]	Validation
45,960	16	Title: RMES: Real-Time Micro-Expression Spotting Using Phase From Riesz Pyramid Abstract: Micro-expressions (MEs) are involuntary and subtle facial expressions that are thought to reveal feelings people are trying to hide. ME spotting detects the temporal intervals containing MEs in videos. Detecting such quick and sub...	[]	Validation
45,961	2	Title: Explorations in Subexponential non-associative non-commutative Linear Logic (extended version) Abstract: In a previous work we introduced a non-associative non-commutative logic extended by multimodalities, called subexponentials, licensing local application of structural rules. Here, we further explore this sys...	[]	Train
45,962	16	Title: Towards Generic and Controllable Attacks Against Object Detection Abstract: Existing adversarial attacks against Object Detectors (ODs) suffer from two inherent limitations. Firstly, ODs have complicated meta-structure designs, hence most advanced attacks for ODs concentrate on attacking specific detector-intrin...	[ 15775 ]	Validation
45,963	24	Title: Hierarchical Contrastive Learning Enhanced Heterogeneous Graph Neural Network Abstract: Heterogeneous graph neural networks (HGNNs) as an emerging technique have shown superior capacity of dealing with heterogeneous information network (HIN). However, most HGNNs follow a semi-supervised learning manner, which no...	[]	Train
45,964	27	Title: SACPlanner: Real-World Collision Avoidance with a Soft Actor Critic Local Planner and Polar State Representations Abstract: We study the training performance of ROS local planners based on Reinforcement Learning (RL), and the trajectories they produce on real-world robots. We show that recent enhancements to the...	[]	Validation
45,965	16	Title: GCD-DDPM: A Generative Change Detection Model Based on Difference-Feature Guided DDPM Abstract: Deep learning (DL)-based methods have recently shown great promise in bitemporal change detection (CD). However, most existing methods are ineffective in simultaneously capturing long-range dependencies and exploiting...	[ 19585, 3844 ]	Train
45,966	16	Title: ScribbleVC: Scribble-supervised Medical Image Segmentation with Vision-Class Embedding Abstract: Medical image segmentation plays a critical role in clinical decision-making, treatment planning, and disease monitoring. However, accurate segmentation of medical images is challenging due to several factors, such a...	[ 6811, 15341 ]	Test
45,967	24	Title: Diffusion Model for GPS Trajectory Generation Abstract: With the deployment of GPS-enabled devices and data acquisition technology, the massively generated GPS trajectory data provide a core support for advancing spatial-temporal data mining research. Nonetheless, GPS trajectories comprise personal geo-location ...	[]	Test
45,968	24	Title: Directed Chain Generative Adversarial Networks Abstract: Real-world data can be multimodal distributed, e.g., data describing the opinion divergence in a community, the interspike interval distribution of neurons, and the oscillators natural frequencies. Generating multimodal distributed real-world data has beco...	[]	Train
45,969	6	Title: Should Computers Be Easy To Use? Questioning the Doctrine of Simplicity in User Interface Design Abstract: That computers should be easy to learn and use is a rarely-questioned tenet of user interface design. But what do we gain from prioritising usability and learnability, and what do we lose? I explore how sim...	[]	Train
45,970	27	Title: ViHOPE: Visuotactile In-Hand Object 6D Pose Estimation with Shape Completion Abstract: In this letter, we introduce ViHOPE, a novel framework for estimating the 6D pose of an in-hand object using visuotactile perception. Our key insight is that the accuracy of the 6D object pose estimate can be improved by expli...	[ 36257 ]	Train
45,971	16	Title: UDTIRI: An Open-Source Intelligent Road Inspection Benchmark Suite Abstract: It is seen that there is enormous potential to leverage powerful deep learning methods in the emerging field of urban digital twins. It is particularly in the area of intelligent road inspection where there is currently limited research...	[]	Test
45,972	9	Title: A Thermodynamically Universal Turing Machine Abstract: Expanding upon the widely recognized notion of mathematical universality in Turing machines, a concept of thermodynamic universality in Turing machines is introduced. Under the physical Church-Turing thesis, the existence of a thermodynamically universal Tur...	[]	Train
45,973	16	Title: NICE: CVPR 2023 Challenge on Zero-shot Image Captioning Abstract: In this report, we introduce NICE (New frontiers for zero-shot Image Captioning Evaluation) project and share the results and outcomes of 2023 challenge. This project is designed to challenge the computer vision community to develop robust image c...	[ 10624, 34074, 29521, 39381, 23575, 31194 ]	Validation
45,974	2	Title: Sequential decomposition of propositional logic programs Abstract: The sequential composition of propositional logic programs has been recently introduced. This paper studies the sequential {\em decomposition} of programs by studying Green's relations $\mathcal{L,R,J}$ -- well-known in semigroup theory -- betwee...	[]	Test
45,975	16	Title: Towards Better Certified Segmentation via Diffusion Models Abstract: The robustness of image segmentation has been an important research topic in the past few years as segmentation models have reached production-level accuracy. However, like classification models, segmentation models can be vulnerable to adversa...	[ 7433 ]	Test
45,976	24	Title: A Semi-supervised Approach for Activity Recognition from Indoor Trajectory Data Abstract: —The increasingly wide usage of location aware sensors has made it possible to collect large volume of trajectory data in diverse application domains. Machine learning allows to study the activities or behaviours of moving ...	[]	Test
45,977	27	Title: UniDexGrasp++: Improving Dexterous Grasping Policy Learning via Geometry-aware Curriculum and Iterative Generalist-Specialist Learning Abstract: We propose a novel, object-agnostic method for learning a universal policy for dexterous object grasping from realistic point cloud observations and proprioceptive info...	[ 12051, 16900, 15221, 21518 ]	Validation

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