Split (1)

train · 203k rows

node_id int64 0 76.9k	label int64 0 39	text stringlengths 13 124k	neighbors listlengths 0 3.32k	mask stringclasses 4 values
37,478	24	Title: Semi-Equivariant Conditional Normalizing Flows Abstract: We study the problem of learning conditional distributions of the form $p(G \| \hat G)$, where $G$ and $\hat G$ are two 3D graphs, using continuous normalizing flows. We derive a semi-equivariance condition on the flow which ensures that conditional invaria...	[]	Test
37,479	16	Title: Instant-NeRF: Instant On-Device Neural Radiance Field Training via Algorithm-Accelerator Co-Designed Near-Memory Processing Abstract: Instant on-device Neural Radiance Fields (NeRFs) are in growing demand for unleashing the promise of immersive AR/VR experiences, but are still limited by their prohibitive traini...	[]	Train
37,480	13	Title: Multi-objective optimization based network control principles for identifying personalized drug targets with cancer Abstract: It is a big challenge to develop efficient models for identifying personalized drug targets (PDTs) from high-dimensional personalized genomic profile of individual patients. Recent struct...	[]	Test
37,481	30	Title: Analogy in Contact: Modeling Maltese Plural Inflection Abstract: Maltese is often described as having a hybrid morphological system resulting from extensive contact between Semitic and Romance language varieties. Such a designation reflects an etymological divide as much as it does a larger tradition in the lite...	[]	Train
37,482	24	Title: Comparison of Transfer Learning based Additive Manufacturing Models via A Case Study Abstract: Transfer learning (TL) based additive manufacturing (AM) modeling is an emerging field to reuse the data from historical products and mitigate the data insufficiency in modeling new products. Although some trials have ...	[]	Test
37,483	7	Title: The stress-free state of human erythrocytes: data driven inference of a transferable RBC model Abstract: nan	[]	Train
37,484	10	Title: Generating Bayesian Network Models from Data Using Tsetlin Machines Abstract: Bayesian networks (BN) are directed acyclic graphical (DAG) models that have been adopted into many fields for their strengths in transparency, interpretability, probabilistic reasoning, and causal modeling. Given a set of data, one hu...	[]	Train
37,485	3	Title: Show me the numbers! - Student-facing Interventions in Adaptive Learning Environments for German Spelling Abstract: Since adaptive learning comes in many shapes and sizes, it is crucial to find out which adaptations can be meaningful for which areas of learning. Our work presents the result of an experiment cond...	[]	Train
37,486	24	Title: Securing Distributed SGD Against Gradient Leakage Threats Abstract: This paper presents a holistic approach to gradient leakage resilient distributed Stochastic Gradient Descent (SGD). First, we analyze two types of strategies for privacy-enhanced federated learning: (i) gradient pruning with random selection or...	[ 34446 ]	Train
37,487	24	Title: Domain Agnostic Fourier Neural Operators Abstract: Fourier neural operators (FNOs) can learn highly nonlinear mappings between function spaces, and have recently become a popular tool for learning responses of complex physical systems. However, to achieve good accuracy and efficiency, FNOs rely on the Fast Fouri...	[ 27158 ]	Validation
37,488	8	Title: Considerations on the EMF Exposure Relating to the Next Generation Non-Terrestrial Networks Abstract: The emerging fifth generation (5G) and the upcoming sixth generation (6G) communication technologies introduce the use of space- and airborne networks in their architectures under the scope of non-terrestrial ne...	[]	Train
37,489	31	Title: Improving Sequential Recommendation Models with an Enhanced Loss Function Abstract: There has been a growing interest in benchmarking sequential recommendation models and reproducing/improving existing models. For example, Rendle et al. improved matrix factorization models by tuning their parameters and hyperpar...	[]	Train
37,490	16	Title: trajdata: A Unified Interface to Multiple Human Trajectory Datasets Abstract: The field of trajectory forecasting has grown significantly in recent years, partially owing to the release of numerous large-scale, real-world human trajectory datasets for autonomous vehicles (AVs) and pedestrian motion tracking. Whi...	[ 27849, 41926 ]	Train
37,491	3	Title: Is AI Changing the Rules of Academic Misconduct? An In-depth Look at Students' Perceptions of 'AI-giarism' Abstract: This pioneering study explores students' perceptions of AI-giarism, an emergent form of academic dishonesty involving AI and plagiarism, within the higher education context. A survey, undertaken b...	[ 33474, 29922, 8300 ]	Train
37,492	13	Title: Improving Performance in Neural Networks by Dendrites-Activated Connections Abstract: Computational units in artificial neural networks compute a linear combination of their inputs, and then apply a nonlinear filter, often a ReLU shifted by some bias, and if the inputs come themselves from other units, they were...	[]	Train
37,493	16	Title: Variational Distribution Learning for Unsupervised Text-to-Image Generation Abstract: We propose a text-to-image generation algorithm based on deep neural networks when text captions for images are unavailable during training. In this work, instead of simply generating pseudo-ground-truth sentences of training i...	[]	Train
37,494	24	Title: Case Studies of Causal Discovery from IT Monitoring Time Series Abstract: Information technology (IT) systems are vital for modern businesses, handling data storage, communication, and process automation. Monitoring these systems is crucial for their proper functioning and efficiency, as it allows collecting ext...	[ 40581, 44750 ]	Train
37,495	16	Title: Learning Spatial-Temporal Implicit Neural Representations for Event-Guided Video Super-Resolution Abstract: Event cameras sense the intensity changes asynchronously and produce event streams with high dynamic range and low latency. This has inspired research endeavors utilizing events to guide the challenging vi...	[ 20292 ]	Train
37,496	16	Title: Dynamic Graph Enhanced Contrastive Learning for Chest X-Ray Report Generation Abstract: Automatic radiology reporting has great clinical potential to relieve radiologists from heavy workloads and improve diagnosis interpretation. Recently, researchers have enhanced data-driven neural networks with medical knowle...	[ 18368, 23618, 28604, 829 ]	Validation
37,497	11	Title: Platoon Leader Selection, User Association and Resource Allocation on a C-V2X based highway: A Reinforcement Learning Approach Abstract: We consider the problem of dynamic platoon leader selection, user association, channel assignment, and power allocation on a cellular vehicle-to-everything (C-V2X) based highwa...	[]	Train
37,498	16	Title: Attention Where It Matters: Rethinking Visual Document Understanding with Selective Region Concentration Abstract: We propose a novel end-to-end document understanding model called SeRum (SElective Region Understanding Model) for extracting meaningful information from document images, including document analysis...	[ 28163 ]	Validation
37,499	4	Title: Mithridates: Boosting Natural Resistance to Backdoor Learning Abstract: Machine learning (ML) models trained on data from potentially untrusted sources are vulnerable to poisoning. A small, maliciously crafted subset of the training inputs can cause the model to learn a"backdoor"task (e.g., misclassify inputs wi...	[ 31944, 15881, 19583 ]	Train
37,500	15	Title: A Review of Techniques for Ageing Detection and Monitoring on Embedded Systems Abstract: Embedded digital devices, such as Field-Programmable Gate Arrays (FPGAs) and Systems on Chip (SoCs), are increasingly used in dependable or safety-critical systems. These commodity devices are subject to notable hardware age...	[ 31965 ]	Test
37,501	16	Title: Image Segmentation Keras : Implementation of Segnet, FCN, UNet, PSPNet and other models in Keras Abstract: Semantic segmentation plays a vital role in computer vision tasks, enabling precise pixel-level understanding of images. In this paper, we present a comprehensive library for semantic segmentation, which co...	[]	Test
37,502	24	Title: RobCaps: Evaluating the Robustness of Capsule Networks against Affine Transformations and Adversarial Attacks Abstract: Capsule Networks (CapsNets) are able to hierarchically preserve the pose relationships between multiple objects for image classification tasks. Other than achieving high accuracy, another relev...	[]	Validation
37,503	36	Title: A Dynamic Adverse Selection Multiagent Model with Off-Menu Actions Abstract: In dynamic mechanism design literature, one critical aspect has been typically ignored-the agents' periodic participation, which they can adapt and plan strategically. We propose a framework for dynamic principal-multiagent problems, au...	[]	Train
37,504	30	Title: Are Layout-Infused Language Models Robust to Layout Distribution Shifts? A Case Study with Scientific Documents Abstract: Recent work has shown that infusing layout features into language models (LMs) improves processing of visually-rich documents such as scientific papers. Layout-infused LMs are often evaluated...	[ 41427 ]	Test
37,505	16	Title: When 3D Bounding-Box Meets SAM: Point Cloud Instance Segmentation with Weak-and-Noisy Supervision Abstract: Learning from bounding-boxes annotations has shown great potential in weakly-supervised 3D point cloud instance segmentation. However, we observed that existing methods would suffer severe performance degr...	[ 41153, 4643, 5104, 22424, 4443 ]	Train
37,506	24	Title: Bayesian Metric Learning for Uncertainty Quantification in Image Retrieval Abstract: We propose the first Bayesian encoder for metric learning. Rather than relying on neural amortization as done in prior works, we learn a distribution over the network weights with the Laplace Approximation. We actualize this by ...	[]	Train
37,507	24	Title: Spatio-Temporal Graph Neural Networks: A Survey Abstract: Graph Neural Networks have gained huge interest in the past few years. These powerful algorithms expanded deep learning models to non-Euclidean space and were able to achieve state of art performance in various applications including recommender systems a...	[ 32869, 4702 ]	Test
37,508	24	Title: How to estimate carbon footprint when training deep learning models? A guide and review Abstract: Machine learning and deep learning models have become essential in the recent fast development of artificial intelligence in many sectors of the society. It is now widely acknowledge that the development of these ...	[]	Train
37,509	36	Title: Robustness of Dynamics in Games: A Contraction Mapping Decomposition Approach Abstract: A systematic framework for analyzing dynamical attributes of games has not been well-studied except for the special class of potential or near-potential games. In particular, the existing results have shortcomings in determin...	[]	Validation
37,510	24	Title: ZADU: A Python Library for Evaluating the Reliability of Dimensionality Reduction Embeddings Abstract: Dimensionality reduction (DR) techniques inherently distort the original structure of input high-dimensional data, producing imperfect low-dimensional embeddings. Diverse distortion measures have thus been prop...	[]	Validation
37,511	37	Title: HGMatch: A Match-by-Hyperedge Approach for Subgraph Matching on Hypergraphs Abstract: Hypergraphs are a generalisation of graphs in which a hyperedge can connect any number of vertices. It can describe n-ary relationships and high-order information among entities compared to conventional graphs. In this paper, w...	[]	Train
37,512	36	Title: Online Learning in a Creator Economy Abstract: The creator economy has revolutionized the way individuals can profit through online platforms. In this paper, we initiate the study of online learning in the creator economy by modeling the creator economy as a three-party game between the users, platform, and cont...	[ 5600, 33593 ]	Test
37,513	27	Title: Efficient Determination of Safety Requirements for Perception Systems Abstract: Perception systems operate as a subcomponent of the general autonomy stack, and perception system designers often need to optimize performance characteristics while maintaining safety with respect to the overall closed-loop system. F...	[]	Test
37,514	9	Title: Non-Clashing Teaching Maps for Balls in Graphs Abstract: Recently, Kirkpatrick et al. [ALT 2019] and Fallat et al. [JMLR 2023] introduced non-clashing teaching and showed it to be the most efficient machine teaching model satisfying the benchmark for collusion-avoidance set by Goldman and Mathias. A teaching map...	[ 7952, 1435 ]	Test
37,515	16	Title: Feature Modulation Transformer: Cross-Refinement of Global Representation via High-Frequency Prior for Image Super-Resolution Abstract: Transformer-based methods have exhibited remarkable potential in single image super-resolution (SISR) by effectively extracting long-range dependencies. However, most of the cur...	[ 5878 ]	Train
37,516	10	Title: Assessing the nature of large language models: A caution against anthropocentrism Abstract: Generative AI models garnered a large amount of public attention and speculation with the release of OpenAIs chatbot, ChatGPT. At least two opinion camps exist: one excited about possibilities these models offer for funda...	[ 20228, 33220, 13510, 19720, 31113, 975, 42287, 10900, 18683, 21724 ]	Train
37,517	16	Title: Unsupervised Learning of Robust Spectral Shape Matching Abstract: We propose a novel learning-based approach for robust 3D shape matching. Our method builds upon deep functional maps and can be trained in a fully unsupervised manner. Previous deep functional map methods mainly focus on predicting optimised funct...	[ 17046, 10558, 21351 ]	Train
37,518	8	Title: Dynamic realization of miscellaneous profile services in elastic optical networks using spectrum partitioning Abstract: Optical backbone networks are required to be highly dynamic in supporting requests with flexible bandwidth granularities to cope with the demands of new broadband wireless and fixed access netw...	[]	Train
37,519	2	Title: Strongly complete axiomatization for a logic with probabilistic interventionist counterfactuals Abstract: Causal multiteam semantics is a framework where probabilistic notions and causal inference can be studied in a unified setting. We study a logic (PCO) that features marginal probabilities and interventionist...	[ 33344, 10531 ]	Train
37,520	16	Title: Fast Marching Energy CNN Abstract: nan	[]	Validation
37,521	24	Title: On the Equivalence between Implicit and Explicit Neural Networks: A High-dimensional Viewpoint Abstract: Implicit neural networks have demonstrated remarkable success in various tasks. However, there is a lack of theoretical analysis of the connections and differences between implicit and explicit networks. In t...	[]	Train
37,522	30	Title: MindDial: Belief Dynamics Tracking with Theory-of-Mind Modeling for Situated Neural Dialogue Generation Abstract: Humans talk in free-form while negotiating the expressed meanings or common ground. Despite the impressive conversational abilities of the large generative language models, they do not consider the i...	[ 8536, 21401, 36528 ]	Test
37,523	16	Title: AROID: Improving Adversarial Robustness through Online Instance-wise Data Augmentation Abstract: Deep neural networks are vulnerable to adversarial examples. Adversarial training (AT) is an effective defense against adversarial examples. However, AT is prone to overfitting which degrades robustness substantially...	[ 26098, 10606 ]	Train
37,524	24	Title: SIMGA: A Simple and Effective Heterophilous Graph Neural Network with Efficient Global Aggregation Abstract: Graph neural networks (GNNs) realize great success in graph learning but suffer from performance loss when meeting heterophily, i.e. neighboring nodes are dissimilar, due to their local and uniform aggreg...	[ 39246 ]	Validation
37,525	28	Title: Better bounds on the minimal Lee distance Abstract: This paper provides new and improved Singleton-like bounds for Lee metric codes over integer residue rings. We derive the bounds using various novel definitions of generalized Lee weights based on different notions of a support of a linear code. In this regard,...	[]	Train
37,526	10	Title: TASRA: a Taxonomy and Analysis of Societal-Scale Risks from AI Abstract: While several recent works have identified societal-scale and extinction-level risks to humanity arising from artificial intelligence, few have attempted an {\em exhaustive taxonomy} of such risks. Many exhaustive taxonomies are possible, a...	[ 4744, 12384 ]	Train
37,527	30	Title: Retrieval Augmented Generation and Representative Vector Summarization for large unstructured textual data in Medical Education Abstract: Large Language Models are increasingly being used for various tasks including content generation and as chatbots. Despite their impressive performances in general tasks, LLMs ...	[ 27391 ]	Train
37,528	13	Title: 3-Objective Pareto Optimization for Problems with Chance Constraints Abstract: Evolutionary multi-objective algorithms have successfully been used in the context of Pareto optimization where a given constraint is relaxed into an additional objective. In this paper, we explore the use of 3-objective formulations ...	[]	Validation
37,529	31	Title: OFAR: A Multimodal Evidence Retrieval Framework for Illegal Live-streaming Identification Abstract: Illegal live-streaming identification, which aims to help live-streaming platforms immediately recognize the illegal behaviors in the live-streaming, such as selling precious and endangered animals, plays a crucia...	[]	Train
37,530	27	Title: A behavioural transformer for effective collaboration between a robot and a non-stationary human Abstract: A key challenge in human-robot collaboration is the non-stationarity created by humans due to changes in their behaviour. This alters environmental transitions and hinders human-robot collaboration. We prop...	[]	Test
37,531	30	Title: ChatGraph: Interpretable Text Classification by Converting ChatGPT Knowledge to Graphs Abstract: ChatGPT, as a recently launched large language model (LLM), has shown superior performance in various natural language processing (NLP) tasks. However, two major limitations hinder its potential applications: (1) the...	[ 12128, 36263, 21610, 43981, 39823, 12563, 16471, 14236, 32062 ]	Train
37,532	24	Title: Neural Algorithmic Reasoning with Causal Regularisation Abstract: Recent work on neural algorithmic reasoning has investigated the reasoning capabilities of neural networks, effectively demonstrating they can learn to execute classical algorithms on unseen data coming from the train distribution. However, the pe...	[ 24521, 24506, 27210, 10110 ]	Train
37,533	34	Title: Prefix-free graphs and suffix array construction in sublinear space Abstract: A recent paradigm shift in bioinformatics from a single reference genome to a pangenome brought with it several graph structures. These graph structures must implement operations, such as efficient construction from multiple genomes an...	[]	Test
37,534	24	Title: Fast Adversarial Training with Smooth Convergence Abstract: Fast adversarial training (FAT) is beneficial for improving the adversarial robustness of neural networks. However, previous FAT work has encountered a significant issue known as catastrophic overfitting when dealing with large perturbation budgets, \ie...	[]	Validation
37,535	27	Title: Dynamic Collaborative Path Planning for Remote Assistance of Highly-Automated Vehicles Abstract: Given its increasing popularity in recent years, teleoperation technology is now recognized as a robust fallback solution for Automated Driving (AD). Remote Assistance (RA) represents an event-driven class of teleope...	[]	Train
37,536	16	Title: Neuromorphic Seatbelt State Detection for In-Cabin Monitoring with Event Cameras Abstract: Neuromorphic vision sensors, or event cameras, differ from conventional cameras in that they do not capture images at a specified rate. Instead, they asynchronously log local brightness changes at each pixel. As a result, ...	[]	Test
37,537	16	Title: DIRE for Diffusion-Generated Image Detection Abstract: Diffusion models have shown remarkable success in visual synthesis, but have also raised concerns about potential abuse for malicious purposes. In this paper, we seek to build a detector for telling apart real images from diffusion-generated images. We find ...	[ 16103, 29200, 45104, 43508, 1688, 38398 ]	Train
37,538	16	Title: Spatio-Temporal Point Process for Multiple Object Tracking Abstract: Multiple object tracking (MOT) focuses on modeling the relationship of detected objects among consecutive frames and merge them into different trajectories. MOT remains a challenging task as noisy and confusing detection results often hinder th...	[]	Train
37,539	16	Title: SCPNet: Semantic Scene Completion on Point Cloud Abstract: Training deep models for semantic scene completion (SSC) is challenging due to the sparse and incomplete input, a large quantity of objects of diverse scales as well as the inherent label noise for moving objects. To address the above-mentioned problems,...	[ 27756, 19716, 45999 ]	Train
37,540	30	Title: Multi-Task Learning Improves Performance In Deep Argument Mining Models Abstract: The successful analysis of argumentative techniques from user-generated text is central to many downstream tasks such as political and market analysis. Recent argument mining tools use state-of-the-art deep learning methods to extr...	[]	Train
37,541	25	Title: Enhancing Unsupervised Audio Representation Learning via Adversarial Sample Generation Abstract: Existing audio analysis methods generally first transform the audio stream to spectrogram, and then feed it into CNN for further analysis. A standard CNN recognizes specific visual patterns over feature map, then poo...	[]	Train
37,542	23	Title: An Exploratory Study on the Occurrence of Self-Admitted Technical Debt in Android Apps Abstract: Technical debt describes situations where developers write less-than-optimal code to meet project milestones. However, this debt accumulation often results in future developer effort to live with or fix these quality...	[]	Train
37,543	8	Title: Conflict Mitigation Framework and Conflict Detection in O-RAN Near-RT RIC Abstract: The steady evolution of the Open RAN concept sheds light on xApps and their potential use cases in O-RANcompliant deployments. There are several areas where xApps can be used that are being widely investigated, but the issue of m...	[]	Test
37,544	6	Title: Investigating VTubing as a Reconstruction of Streamer Self-Presentation: Identity, Performance, and Gender Abstract: VTubers, or Virtual YouTubers, are live streamers who create streaming content using animated 2D or 3D virtual avatars. In recent years, there has been a significant increase in the number of VTub...	[]	Test
37,545	24	Title: PFGM++: Unlocking the Potential of Physics-Inspired Generative Models Abstract: We introduce a new family of physics-inspired generative models termed PFGM++ that unifies diffusion models and Poisson Flow Generative Models (PFGM). These models realize generative trajectories for $N$ dimensional data by embedding...	[ 17285, 31784, 19784, 34317, 8984, 10364 ]	Train
37,546	15	Title: Sparse Stream Semantic Registers: A Lightweight ISA Extension Accelerating General Sparse Linear Algebra Abstract: Sparse linear algebra is crucial in many application domains, but challenging to handle efficiently in both software and hardware, with one- and two-sided operand sparsity handled with distinct appr...	[]	Validation
37,547	24	Title: Multiphysics discovery with moving boundaries using Ensemble SINDy and Peridynamic Differential Operator Abstract: This study proposes a novel framework for learning the underlying physics of phenomena with moving boundaries. The proposed approach combines Ensemble SINDy and Peridynamic Differential Operator (PD...	[]	Train
37,548	27	Title: Minimally Constrained Multi-Robot Coordination with Line-of-Sight Connectivity Maintenance Abstract: In this paper, we consider a team of mobile robots executing simultaneously multiple behaviors by different subgroups, while maintaining global and subgroup line-of-sight (LOS) network connectivity that minimally...	[]	Train
37,549	24	Title: TinyReptile: TinyML with Federated Meta-Learning Abstract: Tiny machine learning (TinyML) is a rapidly growing field aiming to democratize machine learning (ML) for resource-constrained microcontrollers (MCUs). Given the pervasiveness of these tiny devices, it is inherent to ask whether TinyML applications can b...	[ 27701 ]	Train
37,550	4	Title: Random Number Generators and Seeding for Differential Privacy Abstract: Differential Privacy (DP) relies on random numbers to preserve privacy, typically utilising Pseudorandom Number Generators (PRNGs) as a source of randomness. In order to allow for consistent reproducibility, testing and bug-fixing in DP algo...	[]	Train
37,551	26	Title: The Systemic Impact of Deplatforming on Social Media Abstract: Deplatforming, or banning malicious accounts from social media, is a key tool for moderating online harms. However, the consequences of deplatforming for the wider social media ecosystem have been largely overlooked so far, due to the difficulty of t...	[ 20772, 30383 ]	Test
37,552	31	Title: COUPA: An Industrial Recommender System for Online to Offline Service Platforms Abstract: Aiming at helping users locally discover retail services (e.g., entertainment and dining) on Online to Offline (O2O) service platforms, we propose COUPA, an industrial system targeting for characterizing user preference wit...	[]	Train
37,553	30	Title: ScoNe: Benchmarking Negation Reasoning in Language Models With Fine-Tuning and In-Context Learning Abstract: A number of recent benchmarks seek to assess how well models handle natural language negation. However, these benchmarks lack the controlled example paradigms that would allow us to infer whether a model ...	[ 14609, 27902, 29583 ]	Train
37,554	31	Title: Multi-Behavior Graph Neural Networks for Recommender System Abstract: Recommender systems have been demonstrated to be effective to meet user's personalized interests for many online services (e.g., E-commerce and online advertising platforms). Recent years have witnessed the emerging success of many deep-learni...	[ 41656 ]	Train
37,555	16	Title: Cross-Architectural Positive Pairs improve the effectiveness of Self-Supervised Learning Abstract: Existing self-supervised techniques have extreme computational requirements and suffer a substantial drop in performance with a reduction in batch size or pretraining epochs. This paper presents Cross Architectural...	[]	Train
37,556	16	Title: Stereo Visual Odometry with Deep Learning-Based Point and Line Feature Matching using an Attention Graph Neural Network Abstract: Robust feature matching forms the backbone for most Visual Simultaneous Localization and Mapping (vSLAM), visual odometry, 3D reconstruction, and Structure from Motion (SfM) algorithm...	[]	Test
37,557	4	Title: Faulting original McEliece’s implementations is possible How to mitigate this risk? Abstract: Private and public actors increasingly encounter use cases where they need to implement sensitive operations on mass-market peripherals for which they have little or no control. They are sometimes inclined to attempt th...	[]	Train
37,558	24	Title: Improving Fairness in AI Models on Electronic Health Records: The Case for Federated Learning Methods Abstract: Developing AI tools that preserve fairness is of critical importance, specifically in high-stakes applications such as those in healthcare. However, health AI models’ overall prediction performance is ...	[]	Train
37,559	2	Title: Complete Trigger Selection in Satisfiability modulo first-order Theories Abstract: Let T be an SMT solver with no theory solvers except for Quantifier Instantiation. Given a set of first-order clauses S saturated by Resolution (with a valid literal selection function) we show that T is complete if its Trigger fu...	[]	Test
37,560	10	Title: Dissenting Explanations: Leveraging Disagreement to Reduce Model Overreliance Abstract: While explainability is a desirable characteristic of increasingly complex black-box models, modern explanation methods have been shown to be inconsistent and contradictory. The semantics of explanations is not always fully u...	[]	Train
37,561	31	Title: Item Cold Start Recommendation via Adversarial Variational Auto-encoder Warm-up Abstract: The gap between the randomly initialized item ID embedding and the well-trained warm item ID embedding makes the cold items hard to suit the recommendation system, which is trained on the data of historical warm items. To a...	[]	Train
37,562	3	Title: Total Error Sheets for Datasets (TES-D) - A Critical Guide to Documenting Online Platform Datasets Abstract: This paper proposes a template for documenting datasets that have been collected from online platforms for research purposes. The template should help to critically reflect on data quality and increase tr...	[]	Train
37,563	3	Title: From Human-Centered to Social-Centered Artificial Intelligence: Assessing ChatGPT's Impact through Disruptive Events Abstract: Large language models (LLMs) and dialogue agents have existed for years, but the release of recent GPT models has been a watershed moment for artificial intelligence (AI) research and so...	[ 315, 41965, 44173, 40055 ]	Train
37,564	8	Title: AC-DC: Adaptive Ensemble Classification for Network Traffic Identification Abstract: Accurate and efficient network traffic classification is important for many network management tasks, from traffic prioritization to anomaly detection. Although classifiers using pre-computed flow statistics (e.g., packet sizes,...	[]	Train
37,565	23	Title: What Do Users Ask in Open-Source AI Repositories? An Empirical Study of GitHub Issues Abstract: Artificial Intelligence (AI) systems, which benefit from the availability of large-scale datasets and increasing computational power, have become effective solutions to various critical tasks, such as natural language...	[ 42256, 12170 ]	Validation
37,566	24	Title: Understanding Unfairness via Training Concept Influence Abstract: Knowing the causes of a model's unfairness helps practitioners better understand their data and algorithms. This is an important yet relatively unexplored task. We look into this problem through the lens of the training data - one of the major sou...	[]	Train
37,567	13	Title: Benchmark Tasks for Quality-Diversity Applied to Uncertain Domains Abstract: While standard approaches to optimisation focus on producing a single high-performing solution, Quality-Diversity (QD) algorithms allow large diverse collections of such solutions to be found. If QD has proven promising across a large v...	[ 23261, 42359 ]	Validation
37,568	10	Title: Trustworthy, responsible, ethical AI in manufacturing and supply chains: synthesis and emerging research questions Abstract: While the increased use of AI in the manufacturing sector has been widely noted, there is little understanding on the risks that it may raise in a manufacturing organisation. Although vari...	[ 9320, 17279 ]	Train
37,569	10	Title: Dense Sample Deep Learning Abstract: Deep Learning (DL) , a variant of the neural network algorithms originally proposed in the 1980s, has made surprising progress in Artificial Intelligence (AI), ranging from language translation, protein folding, autonomous cars, and more recently human-like language models (C...	[]	Test
37,570	17	Title: FastPoints: A State-of-the-Art Point Cloud Renderer for Unity Abstract: In this paper, we introduce FastPoints, a state-of-the-art point cloud renderer for the Unity game development platform. Our program supports standard unprocessed point cloud formats with non-programmatic, drag-and-drop support, and creates ...	[]	Train
37,571	23	Title: Enabling Versatile Privacy Interfaces Using Machine-Readable Transparency Information Abstract: Transparency regarding the processing of personal data in online services is a necessary precondition for informed decisions on whether or not to share personal data. In this paper, we argue that privacy interfaces sh...	[ 39354, 42283, 40541 ]	Validation
37,572	34	Title: Detecting Points in Integer Cones of Polytopes is Double-Exponentially Hard Abstract: Let $d$ be a positive integer. For a finite set $X \subseteq \mathbb{R}^d$, we define its integer cone as the set $\mathsf{IntCone}(X) := \{ \sum_{x \in X} \lambda_x \cdot x \mid \lambda_x \in \mathbb{Z}_{\geq 0} \} \subseteq \...	[ 22885 ]	Validation
37,573	24	Title: Rethinking SO(3)-equivariance with Bilinear Tensor Networks Abstract: Many datasets in scientific and engineering applications are comprised of objects which have specific geometric structure. A common example is data which inhabits a representation of the group SO$(3)$ of 3D rotations: scalars, vectors, tensors...	[]	Train
37,574	10	Title: Fairguard: Harness Logic-based Fairness Rules in Smart Cities Abstract: Smart cities operate on computational predictive frameworks that collect, aggregate, and utilize data from large-scale sensor networks. However, these frameworks are prone to multiple sources of data and algorithmic bias, which often lead to...	[]	Train
37,575	10	Title: Classifying mental disorders through clinicians’ subjective approach based on three-way decisions Abstract: The most widely used technique for psychiatric diagnosis is a contemporary manual-based procedure based on prevailing culture-bound data for the classification of mental disorders. However, it has several ...	[]	Validation
37,576	27	Title: Faster Optimization in S-Graphs Exploiting Hierarchy Abstract: 3D scene graphs hierarchically represent the environment appropriately organizing different environmental entities in various layers. Our previous work on situational graphs extends the concept of 3D scene graph to SLAM by tightly coupling the robot ...	[]	Train
37,577	16	Title: Creative Birds: Self-Supervised Single-View 3D Style Transfer Abstract: In this paper, we propose a novel method for single-view 3D style transfer that generates a unique 3D object with both shape and texture transfer. Our focus lies primarily on birds, a popular subject in 3D reconstruction, for which no existi...	[]	Train

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