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
31,878	24	Title: Data-Driven Regret Balancing for Online Model Selection in Bandits Abstract: We consider model selection for sequential decision making in stochastic environments with bandit feedback, where a meta-learner has at its disposal a pool of base learners, and decides on the fly which action to take based on the polic...	[]	Train
31,879	26	Title: Modeling opinion polarization on social media: application to Covid-19 vaccination hesitancy in Italy Abstract: The SARS-CoV-2 pandemic reminded us how vaccination can be a divisive topic on which the public conversation is permeated by misleading claims, and thoughts tend to polarize, especially on online socia...	[]	Train
31,880	6	Title: AI-Powered Interfaces for Extended Reality to Support Remote Maintenance Abstract: High-end components that conduct complicated tasks automatically are a part of modern industrial systems. However, in order for these parts to function at the desired level, they need to be maintained by qualified experts. Solutio...	[]	Train
31,881	8	Title: Active queue management for alleviating Internet congestion via a nonlinear differential equation with a variable delay Abstract: Active Queue Management (AQM) for mitigating Internet congestion has been addressed via various feedback control syntheses, especially P, PI, and PID regulators, by using a linear app...	[]	Train
31,882	27	Title: Robust Multi-Modal Multi-LiDAR-Inertial Odometry and Mapping for Indoor Environments Abstract: Integrating multiple LiDAR sensors can significantly enhance a robot's perception of the environment, enabling it to capture adequate measurements for simultaneous localization and mapping (SLAM). Indeed, solid-state L...	[]	Train
31,883	24	Title: Invariant Meta Learning for Out-of-Distribution Generalization Abstract: Modern deep learning techniques have illustrated their excellent capabilities in many areas, but relies on large training data. Optimization-based meta-learning train a model on a variety tasks, such that it can solve new learning tasks usi...	[]	Train
31,884	34	Title: Median of heaps: linear-time selection by recursively constructing binary heaps Abstract: The first worst-case linear-time algorithm for selection was discovered in 1973; however, linear-time binary heap construction was first published in 1964. Here we describe another worst-case linear selection algorithm,whic...	[]	Train
31,885	30	Title: The neural dynamics of auditory word recognition and integration Abstract: Listeners recognize and integrate words in rapid and noisy everyday speech by combining expectations about upcoming content with incremental sensory evidence. We present a computational model of word recognition which formalizes this perc...	[]	Train
31,886	3	Title: Implementing Smart Contracts: The case of NFT-rental with pay-per-like Abstract: Non-fungible tokens(NFTs) are on the rise. They can represent artworks exhibited for marketing purposes on webpages of companies or online stores -- analogously to physical artworks. Lending of NFTs is an attractive form of passive ...	[]	Train
31,887	16	Title: EPVT: Environment-aware Prompt Vision Transformer for Domain Generalization in Skin Lesion Recognition Abstract: Skin lesion recognition using deep learning has made remarkable progress, and there is an increasing need for deploying these systems in real-world scenarios. However, recent research has revealed tha...	[ 2801, 35918 ]	Train
31,888	16	Title: On the Cultural Gap in Text-to-Image Generation Abstract: One challenge in text-to-image (T2I) generation is the inadvertent reflection of culture gaps present in the training data, which signifies the disparity in generated image quality when the cultural elements of the input text are rarely collected in the t...	[ 7441, 41318, 14902 ]	Train
31,889	28	Title: Private Information Retrieval and Its Applications: An Introduction, Open Problems, Future Directions Abstract: Private information retrieval (PIR) is a privacy setting that allows a user to download a required message from a set of messages stored in a system of databases without revealing the index of the requ...	[ 25606, 4169, 32246, 12280, 2332 ]	Validation
31,890	24	Title: BarlowRL: Barlow Twins for Data-Efficient Reinforcement Learning Abstract: This paper introduces BarlowRL, a data-efficient reinforcement learning agent that combines the Barlow Twins self-supervised learning framework with DER (Data-Efficient Rainbow) algorithm. BarlowRL outperforms both DER and its contrastive...	[ 24196 ]	Validation
31,891	30	Title: Analyzing And Improving Neural Speaker Embeddings for ASR Abstract: Neural speaker embeddings encode the speaker's speech characteristics through a DNN model and are prevalent for speaker verification tasks. However, few studies have investigated the usage of neural speaker embeddings for an ASR system. In this ...	[ 14785 ]	Train
31,892	24	Title: Distributed Consensus Algorithm for Decision-Making in Multi-agent Multi-armed Bandit Abstract: We study a structured multi-agent multi-armed bandit (MAMAB) problem in a dynamic environment. A graph reflects the information-sharing structure among agents, and the arms' reward distributions are piecewise-stationa...	[ 25618 ]	Train
31,893	24	Title: Adversarial Learning Networks: Source-free Unsupervised Domain Incremental Learning Abstract: This work presents an approach for incrementally updating deep neural network (DNN) models in a non-stationary environment. DNN models are sensitive to changes in input data distribution, which limits their application ...	[ 43608 ]	Train
31,894	24	Title: An Analysis of Initial Training Strategies for Exemplar-Free Class-Incremental Learning Abstract: Class-Incremental Learning (CIL) aims to build classification models from data streams. At each step of the CIL process, new classes must be integrated into the model. Due to catastrophic forgetting, CIL is particul...	[]	Train
31,895	30	Title: FinEval: A Chinese Financial Domain Knowledge Evaluation Benchmark for Large Language Models Abstract: Large language models (LLMs) have demonstrated exceptional performance in various natural language processing tasks, yet their efficacy in more challenging and domain-specific tasks remains largely unexplored. ...	[ 13700, 33220, 1575, 395, 7695, 24308, 29430, 31837, 11614 ]	Validation
31,896	33	Title: Automata with Timers Abstract: In this work, we study properties of deterministic finite-state automata with timers, a subclass of timed automata proposed by Vaandrager et al. as a candidate for an efficiently learnable timed model. We first study the complexity of the configuration reachability problem for such...	[]	Train
31,897	24	Title: FairGen: Towards Fair Graph Generation Abstract: There have been tremendous efforts over the past decades dedicated to the generation of realistic graphs in a variety of domains, ranging from social networks to computer networks, from gene regulatory networks to online transaction networks. Despite the remarkabl...	[ 38185 ]	Train
31,898	22	Title: Generating High-Precision Feedback for Programming Syntax Errors using Large Language Models Abstract: Large language models (LLMs), such as Codex, hold great promise in enhancing programming education by automatically generating feedback for students. We investigate using LLMs to generate feedback for fixing sy...	[ 33057, 33220, 5157, 40166, 11476, 8540, 20892 ]	Test
31,899	24	Title: Federated Conformal Predictors for Distributed Uncertainty Quantification Abstract: Conformal prediction is emerging as a popular paradigm for providing rigorous uncertainty quantification in machine learning since it can be easily applied as a post-processing step to already trained models. In this paper, we ex...	[ 13235 ]	Train
31,900	28	Title: Fusion-Based Multi-User Semantic Communications for Wireless Image Transmission over Degraded Broadcast Channels Abstract: Degraded broadcast channels (DBC) are a typical multi-user communications scenario. There exist classic transmission methods, such as superposition coding with successive interference cancel...	[]	Train
31,901	35	Title: A Learned Cache Eviction Framework with Minimal Overhead Abstract: Recent work shows the effectiveness of Machine Learning (ML) to reduce cache miss ratios by making better eviction decisions than heuristics. However, state-of-the-art ML caches require many predictions to make an eviction decision, making them i...	[]	Train
31,902	31	Title: Group Membership Bias Abstract: When learning to rank from user interactions, search and recommendation systems must address biases in user behavior to provide a high-quality ranking. One type of bias that has recently been studied in the ranking literature is when sensitive attributes, such as gender, have an i...	[ 10650, 36391 ]	Train
31,903	16	Title: ContraCluster: Learning to Classify without Labels by Contrastive Self-Supervision and Prototype-Based Semi-Supervision Abstract: The recent advances in representation learning inspire us to take on the challenging problem of unsupervised image classification tasks in a principled way. We propose ContraCluster, ...	[]	Train
31,904	30	Title: The Wall Street Neophyte: A Zero-Shot Analysis of ChatGPT Over MultiModal Stock Movement Prediction Challenges Abstract: Recently, large language models (LLMs) like ChatGPT have demonstrated remarkable performance across a variety of natural language processing tasks. However, their effectiveness in the financia...	[ 27111, 40136, 6535, 37674, 28911 ]	Train
31,905	31	Title: Context Aware Query Rewriting for Text Rankers using LLM Abstract: Query rewriting refers to an established family of approaches that are applied to underspecified and ambiguous queries to overcome the vocabulary mismatch problem in document ranking. Queries are typically rewritten during query processing time f...	[ 10976, 67, 33284, 397, 24014, 4627, 3795, 29205, 19068 ]	Train
31,906	16	Title: Speech2Lip: High-fidelity Speech to Lip Generation by Learning from a Short Video Abstract: Synthesizing realistic videos according to a given speech is still an open challenge. Previous works have been plagued by issues such as inaccurate lip shape generation and poor image quality. The key reason is that only ...	[]	Train
31,907	24	Title: Contrastive Representation Disentanglement for Clustering Abstract: Clustering continues to be a significant and challenging task. Recent studies have demonstrated impressive results by applying clustering to feature representations acquired through self-supervised learning, particularly on small datasets. Howev...	[]	Train
31,908	24	Title: Quantifying Deep Learning Model Uncertainty in Conformal Prediction Abstract: Precise estimation of predictive uncertainty in deep neural networks is a critical requirement for reliable decision-making in machine learning and statistical modeling, particularly in the context of medical AI. Conformal Prediction (...	[]	Train
31,909	23	Title: SOTIF-Compliant Scenario Generation Using Semi-Concrete Scenarios and Parameter Sampling Abstract: The SOTIF standard (ISO 21448) requires scenario-based testing to verify and validate Advanced Driver Assistance Systems and Automated Driving Systems but does not suggest any practical way to do so effectively and...	[ 8441 ]	Test
31,910	24	Title: Fast exploration and learning of latent graphs with aliased observations Abstract: We consider the problem of recovering a latent graph where the observations at each node are \emph{aliased}, and transitions are stochastic. Observations are gathered by an agent traversing the graph. Aliasing means that multiple ...	[]	Train
31,911	4	Title: A Quic(k) Security Overview: A Literature Research on Implemented Security Recommendations Abstract: Built on top of UDP, the relatively new QUIC protocol serves as the baseline for modern web protocol stacks. Equipped with a rich feature set, the protocol is defined by a 151 pages strong IETF standard complemen...	[]	Train
31,912	16	Title: MRecGen: Multimodal Appropriate Reaction Generator Abstract: Verbal and non-verbal human reaction generation is a challenging task, as different reactions could be appropriate for responding to the same behaviour. This paper proposes the first multiple and multimodal (verbal and nonverbal) appropriate human reac...	[ 33972, 25059, 29595, 29375 ]	Train
31,913	16	Title: Mix-of-Show: Decentralized Low-Rank Adaptation for Multi-Concept Customization of Diffusion Models Abstract: Public large-scale text-to-image diffusion models, such as Stable Diffusion, have gained significant attention from the community. These models can be easily customized for new concepts using low-rank ada...	[ 20514, 20451, 10788, 43867, 24550, 34074, 42221, 15983, 36084, 26809, 30522, 24763, 18205, 28382 ]	Test
31,914	6	Title: Democratizing Making: Scaffolding Participation Using e-Waste to Engage Under-resourced Communities in Technology Design Abstract: Maker culture and DIY practices are central to democratizing the design of technology; enabling non-designers (future end-users) to actively participate in the design process. Howeve...	[]	Train
31,915	24	Title: Information-Computation Tradeoffs for Learning Margin Halfspaces with Random Classification Noise Abstract: We study the problem of PAC learning $\gamma$-margin halfspaces with Random Classification Noise. We establish an information-computation tradeoff suggesting an inherent gap between the sample complexity o...	[ 34373, 24694 ]	Train
31,916	27	Title: Reducing Network Load via Message Utility Estimation for Decentralized Multirobot Teams Abstract: We are motivated by quantile estimation of algae concentration in lakes and how decentralized multirobot teams can effectively tackle this problem. We find that multirobot teams improve performance in this task over...	[ 4449 ]	Train
31,917	11	Title: Mixed Traffic Control and Coordination from Pixels Abstract: Traffic congestion is a persistent problem in our society. Existing methods for traffic control have proven futile in alleviating current congestion levels leading researchers to explore ideas with robot vehicles given the increased emergence of vehicl...	[ 44129 ]	Test
31,918	30	Title: Aesthetics of Sanskrit Poetry from the Perspective of Computational Linguistics: A Case Study Analysis on Siksastaka Abstract: Sanskrit poetry has played a significant role in shaping the literary and cultural landscape of the Indian subcontinent for centuries. However, not much attention has been devoted to unc...	[]	Test
31,919	2	Title: Cartesian Coherent Differential Categories Abstract: We extend to general cartesian categories the idea of Coherent Differentiation recently introduced by Ehrhard in the setting of categorical models of Linear Logic. The first ingredient is a summability structure which induces a partial left-additive structure ...	[]	Train
31,920	28	Title: 6G Enabled Advanced Transportation Systems Abstract: The 6th generation (6G) wireless communication network is envisaged to be able to change our lives drastically, including transportation. In this paper, two ways of interactions between 6G communication networks and transportation are introduced. With the new ...	[ 41323, 16892 ]	Train
31,921	37	Title: S/C: Speeding up Data Materialization with Bounded Memory Abstract: With data pipeline tools and the expressiveness of SQL, managing interdependent materialized views (MVs) are becoming increasingly easy. These MVs are updated repeatedly upon new data ingestion (e.g., daily), from which database admins can obser...	[ 34376 ]	Test
31,922	27	Title: Robot-Enabled Construction Assembly with Automated Sequence Planning based on ChatGPT: RoboGPT Abstract: Robot-based assembly in construction has emerged as a promising solution to address numerous challenges such as increasing costs, labor shortages, and the demand for safe and efficient construction processes....	[ 32096, 295, 3050, 30891, 12013, 12305, 8084, 13239 ]	Validation
31,923	30	Title: Active Learning Principles for In-Context Learning with Large Language Models Abstract: The remarkable advancements in large language models (LLMs) have significantly enhanced the performance in few-shot learning settings. By using only a small number of labeled examples, referred to as demonstrations, LLMs can ...	[ 7904, 43906, 12483, 2531, 13700, 38338, 31431, 32744, 3795, 22998, 38262 ]	Test
31,924	3	Title: Inspecting Spoken Language Understanding from Kids for Basic Math Learning at Home Abstract: Enriching the quality of early childhood education with interactive math learning at home systems, empowered by recent advances in conversational AI technologies, is slowly becoming a reality. With this motivation, we im...	[ 11929, 44246, 45239 ]	Validation
31,925	28	Title: Synergizing Beyond Diagonal Reconfigurable Intelligent Surface and Rate-Splitting Multiple Access Abstract: This work focuses on the synergy of rate-splitting multiple access (RSMA) and beyond diagonal reconfigurable intelligent surface (BD-RIS) to enlarge the coverage, improve the performance, and save on anten...	[ 13131, 3045, 15307 ]	Train
31,926	7	Title: Technical Note: PDE-constrained Optimization Formulation for Tumor Growth Model Calibration Abstract: We discuss solution algorithms for calibrating a tumor growth model using imaging data posed as a deterministic inverse problem. The forward model consists of a nonlinear and time-dependent reaction-diffusion pa...	[]	Train
31,927	10	Title: The Creative Frontier of Generative AI: Managing the Novelty-Usefulness Tradeoff Abstract: In this paper, drawing inspiration from the human creativity literature, we explore the optimal balance between novelty and usefulness in generative Artificial Intelligence (AI) systems. We posit that overemphasizing eithe...	[]	Train
31,928	20	Title: Non-crossing Hamiltonian Paths and Cycles in Output-Polynomial Time Abstract: We show that, for planar point sets, the number of non-crossing Hamiltonian paths is polynomially bounded in the number of non-crossing paths, and the number of non-crossing Hamiltonian cycles (polygonalizations) is polynomially bounde...	[]	Test
31,929	27	Title: Belief Control Barrier Functions for Risk-aware Control Abstract: Ensuring safety in real-world robotic systems is often challenging due to unmodeled disturbances and noisy sensor measurements. To account for such stochastic uncertainties, many robotic systems leverage probabilistic state estimators such as Kalm...	[]	Validation
31,930	31	Title: Eye Tracking as a Source of Implicit Feedback in Recommender Systems: A Preliminary Analysis Abstract: Eye tracking in recommender systems can provide an additional source of implicit feedback, while helping to evaluate other sources of feedback. In this study, we use eye tracking data to inform a collaborative ...	[ 4183 ]	Train
31,931	24	Title: A Novel Temporal Multi-Gate Mixture-of-Experts Approach for Vehicle Trajectory and Driving Intention Prediction Abstract: Accurate Vehicle Trajectory Prediction is critical for automated vehicles and advanced driver assistance systems. Vehicle trajectory prediction consists of two essential tasks, i.e., longitud...	[]	Test
31,932	30	Title: RoDia: A New Dataset for Romanian Dialect Identification from Speech Abstract: Dialect identification is a critical task in speech processing and language technology, enhancing various applications such as speech recognition, speaker verification, and many others. While most research studies have been dedicated ...	[ 5604 ]	Train
31,933	16	Title: ParameterNet: Parameters Are All You Need for Large-scale Visual Pretraining of Mobile Networks Abstract: The large-scale visual pretraining has significantly improve the performance of large vision models. However, we observe the \emph{low FLOPs pitfall} that the existing low-FLOPs models cannot benefit from la...	[]	Test
31,934	30	Title: F-PABEE: Flexible-patience-based Early Exiting for Single-label and Multi-label text Classification Tasks Abstract: Computational complexity and overthinking problems have become the bottlenecks for pre-training language models (PLMs) with millions or even trillions of parameters. A Flexible-Patience-Based Early...	[]	Train
31,935	25	Title: Attention-Based Acoustic Feature Fusion Network for Depression Detection Abstract: Depression, a common mental disorder, significantly influences individuals and imposes considerable societal impacts. The complexity and heterogeneity of the disorder necessitate prompt and effective detection, which nonetheless, ...	[]	Train
31,936	24	Title: Unlearnable Examples Give a False Sense of Security: Piercing through Unexploitable Data with Learnable Examples Abstract: Safeguarding data from unauthorized exploitation is vital for privacy and security, especially in recent rampant research in security breach such as adversarial/membership attacks. To this e...	[ 15940, 12394, 32333, 9969, 31447 ]	Train
31,937	5	Title: Dirigo: Self-scaling Stateful Actors For Serverless Real-time Data Processing Abstract: We propose Dirigo, a distributed stream processing service built atop virtual actors. Dirigo achieves both a high level of resource efficiency and performance isolation driven by user intent (SLO). To improve resource efficie...	[]	Train
31,938	34	Title: Tracking Evolving labels using Cone based Oracles Abstract: The evolving data framework was first proposed by Anagnostopoulos et al., where an evolver makes small changes to a structure behind the scenes. Instead of taking a single input and producing a single output, an algorithm judiciously probes the current ...	[]	Test
31,939	10	Title: Counterfactuals for Design: A Model-Agnostic Method For Design Recommendations Abstract: We introduce Multi-Objective Counterfactuals for Design (MCD), a novel method for counterfactual optimization in design problems. Counterfactuals are hypothetical situations that can lead to a different decision or choice. I...	[ 15668, 30197 ]	Train
31,940	30	Title: ChatGPT for Us: Preserving Data Privacy in ChatGPT via Dialogue Text Ambiguation to Expand Mental Health Care Delivery Abstract: Large language models have been useful in expanding mental health care delivery. ChatGPT, in particular, has gained popularity for its ability to generate human-like dialogue. However,...	[]	Test
31,941	16	Title: Learning Joint Latent Space EBM Prior Model for Multi-layer Generator Abstract: This paper studies the fundamental problem of learning multi-layer generator models. The multi-layer generator model builds multiple layers of latent variables as a prior model on top of the generator, which benefits learning complex...	[]	Train
31,942	24	Title: On Neural Network approximation of ideal adversarial attack and convergence of adversarial training Abstract: Adversarial attacks are usually expressed in terms of a gradient-based operation on the input data and model, this results in heavy computations every time an attack is generated. In this work, we solidi...	[]	Validation
31,943	24	Title: On the Equivalence of Consistency-Type Models: Consistency Models, Consistent Diffusion Models, and Fokker-Planck Regularization Abstract: The emergence of various notions of ``consistency'' in diffusion models has garnered considerable attention and helped achieve improved sample quality, likelihood estimation,...	[ 34462, 9059, 26158 ]	Test
31,944	24	Title: UNICORN: A Unified Backdoor Trigger Inversion Framework Abstract: The backdoor attack, where the adversary uses inputs stamped with triggers (e.g., a patch) to activate pre-planted malicious behaviors, is a severe threat to Deep Neural Network (DNN) models. Trigger inversion is an effective way of identifying ba...	[ 31137, 30307, 12680, 30643, 17172, 40597, 37499, 8669 ]	Train
31,945	30	Title: Enhancing the Unified Streaming and Non-streaming Model with Contrastive Learning Abstract: The unified streaming and non-streaming speech recognition model has achieved great success due to its comprehensive capabilities. In this paper, we propose to improve the accuracy of the unified model by bridging the inh...	[]	Train
31,946	6	Title: Inter Subject Emotion Recognition Using Spatio-Temporal Features From EEG Signal Abstract: Inter-subject or subject-independent emotion recognition has been a challenging task in affective computing. This work is about an easy-to-implement emotion recognition model that classifies emotions from EEG signals subje...	[]	Train
31,947	30	Title: Unsupervised Chunking with Hierarchical RNN Abstract: In Natural Language Processing (NLP), predicting linguistic structures, such as parsing and chunking, has mostly relied on manual annotations of syntactic structures. This paper introduces an unsupervised approach to chunking, a syntactic task that involves g...	[]	Train
31,948	3	Title: Methods and Tools for Monitoring Driver's Behavior Abstract: In-vehicle sensing technology has gained tremendous attention due to its ability to support major technological developments, such as connected vehicles and self-driving cars. In-vehicle sensing data are invaluable and important data sources for traffi...	[]	Test
31,949	16	Title: GMValuator: Similarity-based Data Valuation for Generative Models Abstract: Data valuation plays a crucial role in machine learning. Existing data valuation methods have primarily focused on discriminative models, neglecting generative models that have recently gained considerable attention. A very few existing ...	[ 36227, 20831 ]	Test
31,950	16	Title: Learning Efficient Coding of Natural Images with Maximum Manifold Capacity Representations Abstract: Self-supervised Learning (SSL) provides a strategy for constructing useful representations of images without relying on hand-assigned labels. Many such methods aim to map distinct views of the same scene or objec...	[ 19554 ]	Validation
31,951	24	Title: Automatic Noise Filtering with Dynamic Sparse Training in Deep Reinforcement Learning Abstract: Tomorrow's robots will need to distinguish useful information from noise when performing different tasks. A household robot for instance may continuously receive a plethora of information about the home, but needs to ...	[]	Test
31,952	4	Title: can-train-and-test: A Curated CAN Dataset for Automotive Intrusion Detection Abstract: When it comes to in-vehicle networks (IVNs), the controller area network -- CAN -- bus dominates the market; automobiles manufactured and sold around the world depend on the CAN bus for safety-critical communications between v...	[]	Train
31,953	26	Title: DoubleH: Twitter User Stance Detection via Bipartite Graph Neural Networks Abstract: Given the development and abundance of social media, studying the stance of social media users is a challenging and pressing issue. Social media users express their stance by posting tweets and retweeting. Therefore, the homogen...	[]	Validation
31,954	23	Title: UnGoML: Automated Classification of unsafe Usages in Go Abstract: The Go programming language offers strong protection from memory corruption. As an escape hatch of these protections, it provides the unsafe package. Previous studies identified that this unsafe package is frequently used in real-world code for se...	[]	Test
31,955	16	Title: OGMN: Occlusion-guided Multi-task Network for Object Detection in UAV Images Abstract: nan	[]	Train
31,956	30	Title: Can ChatGPT's Responses Boost Traditional Natural Language Processing? Abstract: The employment of foundation models is steadily expanding, especially with the launch of ChatGPT and the release of other foundation models. These models have shown the potential of emerging capabilities to solve problems, without b...	[ 12128, 24931, 13700, 20228, 13510, 45605, 33220, 15049, 38856, 16555, 37742, 44758, 6942 ]	Train
31,957	3	Title: A Non-Custodial Wallet for CBDC: Design Challenges and Opportunities Abstract: Central Bank Digital Currency (CBDC) is a novel form of money that could be issued and regulated by central banks, offering benefits such as programmability, security, and privacy. However, the design of a CBDC system presents numerou...	[ 41594, 42845 ]	Validation
31,958	24	Title: Semi-Supervised Classification with Graph Convolutional Kernel Machines Abstract: We present a deep Graph Convolutional Kernel Machine (GCKM) for semi-supervised node classification in graphs. First, we introduce an unsupervised kernel machine propagating the node features in a one-hop neighbourhood. Then, we sp...	[ 36256, 8867 ]	Test
31,959	34	Title: A new width parameter of graphs based on edge cuts: $α$-edge-crossing width Abstract: We introduce graph width parameters, called $\alpha$-edge-crossing width and edge-crossing width. These are defined in terms of the number of edges crossing a bag of a tree-cut decomposition. They are motivated by edge-cut widt...	[]	Validation
31,960	24	Title: Reward-agnostic Fine-tuning: Provable Statistical Benefits of Hybrid Reinforcement Learning Abstract: This paper studies tabular reinforcement learning (RL) in the hybrid setting, which assumes access to both an offline dataset and online interactions with the unknown environment. A central question boils down t...	[ 27979, 44566 ]	Test
31,961	16	Title: RecRecNet: Rectangling Rectified Wide-Angle Images by Thin-Plate Spline Model and DoF-based Curriculum Learning Abstract: The wide-angle lens shows appealing applications in VR technologies, but it introduces severe radial distortion into its captured image. To recover the realistic scene, previous works devote ...	[ 34949, 7 ]	Train
31,962	1	Title: NFT Marketplace Abstract: In an increasingly digitized world, the secure management and trade of digital assets have become a pressing issue. This project aims to address this challenge by developing a decentralized application (dApp) that leverages blockchain technology and deep learning models to provide secur...	[]	Test
31,963	2	Title: A Logic for Veracity Abstract: This paper shows the initial stages of development, from first principles, of a formal logic to characterise and then explore issues in a broadly defined idea of Veracity.	[]	Train
31,964	28	Title: Phase-Equivariant Polar Coded Modulation Abstract: For short-packet, low-latency communications over random access channels, piloting overhead significantly reduces spectral efficiency. Therefore, pilotless systems recently gained attraction. While blind phase estimation algorithms such as Viterbi-Viterbi Phase ...	[ 18829 ]	Train
31,965	15	Title: Ageing Analysis of Embedded SRAM on a Large-Scale Testbed Using Machine Learning Abstract: Ageing detection and failure prediction are essential in many Internet of Things (IoT) deployments, which operate huge quantities of embedded devices unattended in the field for years. In this paper, we present a large-sca...	[ 37500, 28069 ]	Train
31,966	24	Title: A Generalized Framework for Predictive Clustering and Optimization Abstract: Clustering is a powerful and extensively used data science tool. While clustering is generally thought of as an unsupervised learning technique, there are also supervised variations such as Spath's clusterwise regression that attempt to...	[]	Train
31,967	2	Title: On the convergence of reduction-based and model-based methods in proof theory Abstract: In the recent past, the reduction-based and the model-based methods to prove cut elimination have converged, so that they now appear just as two sides of the same coin. This paper details some of the steps of this transformat...	[ 9172 ]	Validation
31,968	3	Title: Mapping and Comparing Data Governance Frameworks: A benchmarking exercise to inform global data governance deliberations Abstract: Data has become a critical resource for organizations and society. Yet, it is not always as valuable as it could be since there is no well-defined approach to managing and using it. ...	[]	Train
31,969	24	Title: Learning to Jump: Thinning and Thickening Latent Counts for Generative Modeling Abstract: Learning to denoise has emerged as a prominent paradigm to design state-of-the-art deep generative models for natural images. How to use it to model the distributions of both continuous real-valued data and categorical data...	[ 40833, 28532 ]	Train
31,970	16	Title: Convolutional neural network based on sparse graph attention mechanism for MRI super-resolution Abstract: Magnetic resonance imaging (MRI) is a valuable clinical tool for displaying anatomical structures and aiding in accurate diagnosis. Medical image super-resolution (SR) reconstruction using deep learning tech...	[]	Validation
31,971	27	Title: Remote ID for separation provision and multi-agent navigation Abstract: In this paper, we investigate the integration of drone identification data (Remote ID) with collision avoidance mechanisms to improve the safety and efficiency of multi-drone operations. We introduce an improved Near Mid-Air Collision (NMAC)...	[]	Train
31,972	24	Title: Dynamic Domain Discrepancy Adjustment for Active Multi-Domain Adaptation Abstract: Multi-source unsupervised domain adaptation (MUDA) aims to transfer knowledge from related source domains to an unlabeled target domain. While recent MUDA methods have shown promising results, most focus on aligning the overall fe...	[]	Validation
31,973	24	Title: OBESEYE: Interpretable Diet Recommender for Obesity Management using Machine Learning and Explainable AI Abstract: Obesity, the leading cause of many non-communicable diseases, occurs mainly for eating more than our body requirements and lack of proper activity. So, being healthy requires heathy diet plans, espe...	[ 15996 ]	Train
31,974	24	Title: Embarrassingly Simple MixUp for Time-series Abstract: Labeling time series data is an expensive task because of domain expertise and dynamic nature of the data. Hence, we often have to deal with limited labeled data settings. Data augmentation techniques have been successfully deployed in domains like computer v...	[]	Train
31,975	16	Title: Variation-Aware Semantic Image Synthesis Abstract: Semantic image synthesis (SIS) aims to produce photorealistic images aligning to given conditional semantic layout and has witnessed a significant improvement in recent years. Although the diversity in image-level has been discussed heavily, class-level mode col...	[]	Train
31,976	10	Title: Accelerating LLM Inference with Staged Speculative Decoding Abstract: Recent advances with large language models (LLM) illustrate their diverse capabilities. We propose a novel algorithm, staged speculative decoding, to accelerate LLM inference in small-batch, on-device scenarios. We address the low arithmetic i...	[ 31256, 40953, 28606 ]	Train
31,977	24	Title: Limitations of Piecewise Linearity for Efficient Robustness Certification Abstract: Certiﬁed defenses against small-norm adversarial examples have received growing attention in recent years; though certiﬁed accuracies of state-of-the-art methods remain far below their non-robust counterparts, despite the fact th...	[ 24772 ]	Train

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