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
42,778	24	Title: Vector Quantized Time Series Generation with a Bidirectional Prior Model Abstract: Time series generation (TSG) studies have mainly focused on the use of Generative Adversarial Networks (GANs) combined with recurrent neural network (RNN) variants. However, the fundamental limitations and challenges of training G...	[ 8668 ]	Validation
42,779	24	Title: TDSTF: Transformer-based Diffusion probabilistic model for Sparse Time series Forecasting Abstract: Background and objective: In the intensive care unit (ICU), vital sign monitoring is critical, and an accurate predictive system is required. This study will create a novel model to forecast Heart Rate (HR), Systo...	[ 15529, 12098, 17941 ]	Train
42,780	30	Title: A Comparative Study of Open-Source Large Language Models, GPT-4 and Claude 2: Multiple-Choice Test Taking in Nephrology Abstract: In recent years, there have been significant breakthroughs in the field of natural language processing, particularly with the development of large language models (LLMs). These LLMs h...	[ 40192, 15301, 11273, 109, 6797, 4635 ]	Train
42,781	16	Title: Few-Shot Geometry-Aware Keypoint Localization Abstract: Supervised keypoint localization methods rely on large manually labeled image datasets, where objects can deform, articulate, or occlude. However, creating such large keypoint labels is time-consuming and costly, and is often error-prone due to inconsistent...	[]	Train
42,782	24	Title: Deep Multi-View Subspace Clustering with Anchor Graph Abstract: Deep multi-view subspace clustering (DMVSC) has recently attracted increasing attention due to its promising performance. However, existing DMVSC methods still have two issues: (1) they mainly focus on using autoencoders to nonlinearly embed the dat...	[]	Validation
42,783	33	Title: Getting More out of Large Language Models for Proofs Abstract: Large language models have the potential to simplify formal theorem proving and make it more accessible. But how to get the most out of these models is still an open question. To answer this question, we take a step back and explore the failure cases...	[ 43471 ]	Train
42,784	24	Title: Uncertainty Injection: A Deep Learning Method for Robust Optimization Abstract: This paper proposes a paradigm of uncertainty injection for training deep learning model to solve robust optimization problems. The majority of existing studies on deep learning focus on the model learning capability, while assuming ...	[]	Train
42,785	4	Title: CRS-FL: Conditional Random Sampling for Communication-Efficient and Privacy-Preserving Federated Learning Abstract: Federated Learning (FL), a privacy-oriented distributed ML paradigm, is being gaining great interest in Internet of Things because of its capability to protect participants data privacy. Studies ha...	[]	Validation
42,786	16	Title: Tuning computer vision models with task rewards Abstract: Misalignment between model predictions and intended usage can be detrimental for the deployment of computer vision models. The issue is exacerbated when the task involves complex structured outputs, as it becomes harder to design procedures which address ...	[ 15809, 32706, 5387, 36214, 44537, 11199 ]	Train
42,787	30	Title: A Survey on Event-Based News Narrative Extraction Abstract: Narratives are fundamental to our understanding of the world, providing us with a natural structure for knowledge representation over time. Computational narrative extraction is a subfield of artificial intelligence that makes heavy use of information r...	[]	Train
42,788	24	Title: SLPerf: a Unified Framework for Benchmarking Split Learning Abstract: Data privacy concerns has made centralized training of data, which is scattered across silos, infeasible, leading to the need for collaborative learning frameworks. To address that, two prominent frameworks emerged, i.e., federated learning (F...	[]	Validation
42,789	22	Title: On the Applicability of Language Models to Block-Based Programs Abstract: Block-based programming languages like Scratch are increasingly popular for programming education and end-user programming. Recent program analyses build on the insight that source code can be modelled using techniques from natural languag...	[]	Train
42,790	36	Title: Towards Optimal Prior-Free Permissionless Rebate Mechanisms, with applications to Automated Market Makers & Combinatorial Orderflow Auctions Abstract: Maximal Extractable Value (MEV) has become a critical issue for blockchain ecosystems, as it enables validators or block proposers to extract value by ordering, i...	[ 9562, 23350, 37999 ]	Train
42,791	31	Title: Report from Dagstuhl Seminar 23031: Frontiers of Information Access Experimentation for Research and Education Abstract: This report documents the program and the outcomes of Dagstuhl Seminar 23031 ``Frontiers of Information Access Experimentation for Research and Education'', which brought together 37 participa...	[ 41871 ]	Validation
42,792	36	Title: A compositional game to fairly divide homogeneous cake Abstract: The central question in the game theory of cake-cutting is how to distribute a finite resource among players in a fair way. Most research has focused on how to do this for a heterogeneous cake in a situation where the players do not have access to ...	[]	Train
42,793	16	Title: CENSUS-HWR: a large training dataset for offline handwriting recognition Abstract: Progress in Automated Handwriting Recognition has been hampered by the lack of large training datasets. Nearly all research uses a set of small datasets that often cause models to overfit. We present CENSUS-HWR, a new dataset cons...	[]	Test
42,794	16	Title: Meta-Transformer: A Unified Framework for Multimodal Learning Abstract: Multimodal learning aims to build models that can process and relate information from multiple modalities. Despite years of development in this field, it still remains challenging to design a unified network for processing various modalities...	[ 18404, 38565, 29224, 31375, 17109, 15541, 23545, 37438, 41183 ]	Train
42,795	24	Title: Can We Transfer Noise Patterns? A Multi-environment Spectrum Analysis Model Using Generated Cases Abstract: Spectrum analysis systems in online water quality testing are designed to detect types and concentrations of pollutants and enable regulatory agencies to respond promptly to pollution incidents. However, s...	[]	Train
42,796	3	Title: Toward A Dynamic Comfort Model for Human-Building Interaction in Grid-Interactive Efficient Buildings: Supported by Field Data Abstract: Controlling building electric loads could alleviate the increasing grid strain caused by the adoption of renewables and electrification. However, current approaches that automa...	[]	Validation
42,797	24	Title: Towards Generalizable Neural Solvers for Vehicle Routing Problems via Ensemble with Transferrable Local Policy Abstract: Machine learning has been adapted to help solve NP-hard combinatorial optimization problems. One prevalent way is learning to construct solutions by deep neural networks, which has been receiv...	[ 41879, 250, 10842, 41407 ]	Validation
42,798	16	Title: Diffusion Model based Semi-supervised Learning on Brain Hemorrhage Images for Efficient Midline Shift Quantification Abstract: Brain midline shift (MLS) is one of the most critical factors to be considered for clinical diagnosis and treatment decision-making for intracranial hemorrhage. Existing computational me...	[]	Test
42,799	6	Title: The Challenges of Studying Misinformation on Video-Sharing Platforms During Crises and Mass-Convergence Events Abstract: Mis- and disinformation can spread rapidly on video-sharing platforms (VSPs). Despite the growing use of VSPs, there has not been a proportional increase in our ability to understand this medi...	[ 4599 ]	Test
42,800	24	Title: Pruning Meets Low-Rank Parameter-Efficient Fine-Tuning Abstract: Large pre-trained models (LPMs), such as LLaMA and ViT-G, have shown exceptional performance across various tasks. Although parameter-efficient fine-tuning (PEFT) has emerged to cheaply fine-tune these large models on downstream tasks, their deploy...	[ 6979, 13700, 38796, 12851, 24156 ]	Train
42,801	28	Title: On Strong Secrecy for Multiple Access Channel with States and causal CSI Abstract: Strong secrecy communication over a discrete memoryless state-dependent multiple access channel (SD-MAC) with an external eavesdropper is investigated. The channel is governed by discrete memoryless and i.i.d. channel states and t...	[]	Train
42,802	2	Title: On Boolean reliability algebra Abstract: In this paper we consider systems which consist of binary components with known reliabilities. We discuss their algebraic properties and define the corresponding algebraic structure, which we call the reliability algebra. We prove that the reliability algebra is a Boolean...	[]	Validation
42,803	16	Title: Vehicle Safety Management System Abstract: Overtaking is a critical maneuver in driving that requires accurate information about the location and distance of other vehicles on the road. This study suggests a real-time overtaking assistance system that uses a combination of the You Only Look Once (YOLO) object de...	[]	Train
42,804	16	Title: 3D Semantic Subspace Traverser: Empowering 3D Generative Model with Shape Editing Capability Abstract: Shape generation is the practice of producing 3D shapes as various representations for 3D content creation. Previous studies on 3D shape generation have focused on shape quality and structure, without or less c...	[ 25151 ]	Validation
42,805	21	Title: The Impact of Process Complexity on Process Performance: A Study using Event Log Data Abstract: Complexity is an important characteristic of any business process. The key assumption of much research in Business Process Management is that process complexity has a negative impact on process performance. So far, be...	[]	Train
42,806	10	Title: Optimal Control of Logically Constrained Partially Observable and Multi-Agent Markov Decision Processes Abstract: Autonomous systems often have logical constraints arising, for example, from safety, operational, or regulatory requirements. Such constraints can be expressed using temporal logic specifications. Th...	[]	Train
42,807	16	Title: Shape-Graph Matching Network (SGM-net): Registration for Statistical Shape Analysis Abstract: This paper focuses on the statistical analysis of shapes of data objects called shape graphs, a set of nodes connected by articulated curves with arbitrary shapes. A critical need here is a constrained registration of p...	[]	Validation
42,808	16	Title: Rapid-Motion-Track: Markerless Tracking of Fast Human Motion with Deeper Learning Abstract: Objective The coordination of human movement directly reflects function of the central nervous system. Small deficits in movement are often the first sign of an underlying neurological problem. The objective of this resea...	[]	Train
42,809	17	Title: Reducing Ambiguities in Line-based Density Plots by Image-space Colorization Abstract: Line-based density plots are used to reduce visual clutter in line charts with a multitude of individual lines. However, these traditional density plots are often perceived ambiguously, which obstructs the user's identificatio...	[]	Validation
42,810	4	Title: Privacy-Preserving 3-Layer Neural Network Training using Mere Homomorphic Encryption Technique Abstract: In this manuscript, we consider the problem of privacy-preserving training of neural networks in the mere homomorphic encryption setting. We combine several exsiting techniques available, extend some of them,...	[ 29818, 44139 ]	Train
42,811	27	Title: A Survey on Approximate Edge AI for Energy Efficient Autonomous Driving Services Abstract: Autonomous driving services rely heavily on sensors such as cameras, LiDAR, radar, and communication modules. A common practice of processing the sensed data is using a high-performance computing unit placed inside the veh...	[]	Train
42,812	30	Title: DialogVCS: Robust Natural Language Understanding in Dialogue System Upgrade Abstract: In the constant updates of the product dialogue systems, we need to retrain the natural language understanding (NLU) model as new data from the real users would be merged into the existent data accumulated in the last updates. ...	[ 12128, 7982 ]	Train
42,813	23	Title: Simulation-Driven Automated End-to-End Test and Oracle Inference Abstract: This is the first work to report on inferential testing at scale in industry. Specifically, it reports the experience of automated testing of integrity systems at Meta. We built an internal tool called ALPACAS for automated inference of e...	[]	Train
42,814	30	Title: Do-Not-Answer: A Dataset for Evaluating Safeguards in LLMs Abstract: With the rapid evolution of large language models (LLMs), new and hard-to-predict harmful capabilities are emerging. This requires developers to be able to identify risks through the evaluation of"dangerous capabilities"in order to responsibly ...	[ 514, 33220, 14569, 5071, 10800, 14609, 43641, 45296, 407, 729 ]	Train
42,815	30	Title: Sentence Level Curriculum Learning for Improved Neural Conversational Models Abstract: Designing machine intelligence to converse with a human user necessarily requires an understanding of how humans participate in conversation, and thus conversation modeling is an important task in natural language processing. ...	[]	Train
42,816	11	Title: Strategic Planning for Flexible Agent Availability in Large Taxi Fleets Abstract: In large-scale multi-agent systems like taxi fleets, individual agents (taxi drivers) are self-interested (maximizing their own profits) and this can introduce inefficiencies in the system. One such inefficiency is with regard to t...	[]	Train
42,817	2	Title: Proof Systems for the Modal μ-Calculus Obtained by Determinizing Automata Abstract: Automata operating on infinite objects feature prominently in the theory of the modal $\mu$-calculus. One such application concerns the tableau games introduced by Niwi\'{n}ski&Walukiewicz, of which the winning condition for infi...	[]	Train
42,818	24	Title: Causal Razors Abstract: When performing causal discovery, assumptions have to be made on how the true causal mechanism corresponds to the underlying joint probability distribution. These assumptions are labeled as causal razors in this work. We review numerous causal razors that appeared in the literature, and o...	[]	Validation
42,819	16	Title: Painting 3D Nature in 2D: View Synthesis of Natural Scenes from a Single Semantic Mask Abstract: We introduce a novel approach that takes a single semantic mask as input to synthesize multi-view consistent color images of natural scenes, trained with a collection of single images from the Internet. Prior works o...	[ 7993, 15445 ]	Train
42,820	16	Title: RigNet++: Efficient Repetitive Image Guided Network for Depth Completion Abstract: Depth completion aims to recover dense depth maps from sparse ones, where color images are often used to facilitate this task. Recent depth methods primarily focus on image guided learning frameworks. However, blurry guidance in t...	[ 45506 ]	Train
42,821	16	Title: NEF: Neural Edge Fields for 3D Parametric Curve Reconstruction from Multi-View Images Abstract: We study the problem of reconstructing 3D feature curves of an object from a set of calibrated multi-view images. To do so, we learn a neural implicit field representing the density distribution of 3D edges which we r...	[]	Train
42,822	37	Title: A Semi-Automated Hybrid Schema Matching Framework for Vegetation Data Integration Abstract: Integrating disparate and distributed vegetation data is critical for consistent and informed national policy development and management. Australia's National Vegetation Information System (NVIS) under the Department of C...	[]	Train
42,823	10	Title: Mitigating Human and Computer Opinion Fraud via Contrastive Learning Abstract: We introduce the novel approach towards fake text reviews detection in collaborative filtering recommender systems. The existing algorithms concentrate on detecting the fake reviews, generated by language models and ignore the texts, ...	[]	Train
42,824	23	Title: On the Effect of Instrumentation on Test Flakiness Abstract: Test flakiness is a problem that affects testing and processes that rely on it. Several factors cause or influence the flakiness of test outcomes. Test execution order, randomness and concurrency are some of the more common and well-studied causes. Som...	[]	Test
42,825	13	Title: Sparse-firing regularization methods for spiking neural networks with time-to-first spike coding Abstract: The training of multilayer spiking neural networks (SNNs) using the error backpropagation algorithm has made significant progress in recent years. Among the various training schemes, the error backpropagati...	[]	Train
42,826	24	Title: Clifford Group Equivariant Neural Networks Abstract: We introduce Clifford Group Equivariant Neural Networks: a novel approach for constructing $\mathrm{E}(n)$-equivariant networks. We identify and study the $\textit{Clifford group}$, a subgroup inside the Clifford algebra, whose definition we slightly adjust to...	[ 24818, 22134, 15407 ]	Test
42,827	16	Title: Vital Videos: A dataset of videos with PPG and blood pressure ground truths Abstract: We collected a large dataset consisting of nearly 900 unique participants. For every participant we recorded two 30 second uncompressed videos, synchronized PPG waveforms and a single blood pressure measurement. Gender, age and...	[]	Test
42,828	23	Title: Autonomy Is An Acquired Taste: Exploring Developer Preferences for GitHub Bots Abstract: Software bots fulfill an important role in collective software development, and their adoption by developers promises increased productivity. Past research has identified that bots that communicate too often can irritate dev...	[ 4902 ]	Train
42,829	6	Title: HoloTouch: Interacting with Mixed Reality Visualizations Through Smartphone Proxies Abstract: We contribute interaction techniques for augmenting mixed reality (MR) visualizations with smartphone proxies. By combining head-mounted displays (HMDs) with mobile touchscreens, we can augment low-resolution holographi...	[ 18616 ]	Train
42,830	16	Title: DeViL: Decoding Vision features into Language Abstract: Post-hoc explanation methods have often been criticised for abstracting away the decision-making process of deep neural networks. In this work, we would like to provide natural language descriptions for what different layers of a vision backbone have learne...	[]	Train
42,831	24	Title: On the Relationships between Graph Neural Networks for the Simulation of Physical Systems and Classical Numerical Methods Abstract: Recent developments in Machine Learning approaches for modelling physical systems have begun to mirror the past development of numerical methods in the computational sciences. In th...	[]	Validation
42,832	27	Title: Acoustic Beamforming for Object-relative Distance Estimation and Control in Unmanned Air Vehicles using Propulsion System Noise Abstract: Unmanned air vehicles often produce significant noise from their propulsion systems. Using this broadband signal as"acoustic illumination"for an auxiliary sensing system could...	[]	Test
42,833	28	Title: Channel State Information Based User Censoring in Irregular Repetition Slotted Aloha Abstract: Irregular repetition slotted aloha (IRSA) is a massive random access protocol which can be used to serve a large number of users while achieving a packet loss rate (PLR) close to zero. However, if the number of users i...	[]	Train
42,834	18	Title: Pairs-trading System using Quantum-inspired Combinatorial Optimization Accelerator for Optimal Path Search in Market Graphs Abstract: Pairs-trading is a trading strategy that involves matching a long position with a short position in two stocks aiming at market-neutral profits. While a typical pairs-trading syst...	[ 28656 ]	Train
42,835	24	Title: Guarded Policy Optimization with Imperfect Online Demonstrations Abstract: The Teacher-Student Framework (TSF) is a reinforcement learning setting where a teacher agent guards the training of a student agent by intervening and providing online demonstrations. Assuming optimal, the teacher policy has the perfect ...	[]	Train
42,836	9	Title: A Fast Algorithm for Consistency Checking Partially Ordered Time Abstract: Partially ordered models of time occur naturally in applications where agents/processes cannot perfectly communicate with each other, and can be traced back to the seminal work of Lamport. In this paper we consider the problem of deciding...	[]	Validation
42,837	16	Title: A Continual Learning Approach for Cross-Domain White Blood Cell Classification Abstract: Accurate classification of white blood cells in peripheral blood is essential for diagnosing hematological diseases. Due to constantly evolving clinical settings, data sources, and disease classifications, it is necessary to...	[]	Train
42,838	24	Title: Knowledge-Driven Multi-Agent Reinforcement Learning for Computation Offloading in Cybertwin-Enabled Internet of Vehicles Abstract: By offloading computation-intensive tasks of vehicles to roadside units (RSUs), mobile edge computing (MEC) in the Internet of Vehicles (IoV) can relieve the onboard computation burd...	[]	Train
42,839	24	Title: tSPM+; a high-performance algorithm for mining transitive sequential patterns from clinical data Abstract: The increasing availability of large clinical datasets collected from patients can enable new avenues for computational characterization of complex diseases using different analytic algorithms. One of the p...	[]	Validation
42,840	24	Title: Imitation Learning from Nonlinear MPC via the Exact Q-Loss and its Gauss-Newton Approximation Abstract: This work presents a novel loss function for learning nonlinear Model Predictive Control policies via Imitation Learning. Standard approaches to Imitation Learning neglect information about the expert and gene...	[]	Train
42,841	26	Title: The Half-Life of a Tweet Abstract: Twitter has started to share an impression count variable as part of the available public metrics for every Tweet collected with Twitter’s APIs. With the information about how often a particular Tweet has been shown to Twitter users at the time of data collection, we can learn ...	[ 23587, 7580 ]	Train
42,842	30	Title: Med-HALT: Medical Domain Hallucination Test for Large Language Models Abstract: This research paper focuses on the challenges posed by hallucinations in large language models (LLMs), particularly in the context of the medical domain. Hallucination, wherein these models generate plausible yet unverified or incorr...	[ 15075, 13029, 109, 38102, 43641, 42747 ]	Train
42,843	26	Title: Does society show differential attention to researchers based on gender and field? Abstract: While not all researchers prioritize social impact, it is undeniably a crucial aspect that adds significance to their work. The objective of this paper is to explore potential gender differences in the social attention p...	[]	Train
42,844	24	Title: Long-term drought prediction using deep neural networks based on geospatial weather data Abstract: The accurate prediction of drought probability in specific regions is crucial for informed decision-making in agricultural practices. It is important to make predictions one year in advance, particularly for long-t...	[]	Train
42,845	3	Title: Response to "The digital pound: a new form of money for households and businesses" Abstract: This document constitutes a response to a Consultation Paper published by the Bank of England and HM Treasury,"The digital pound: a new form of money for households and businesses?", the latest document in a series that ...	[ 28434, 10404, 31957 ]	Train
42,846	4	Title: Digital Privacy Under Attack: Challenges and Enablers Abstract: Users have renewed interest in protecting their private data in the digital space. When they don't believe that their privacy is sufficiently covered by one platform, they will readily switch to another. Such an increasing level of privacy awareness...	[]	Test
42,847	16	Title: FeatAug-DETR: Enriching One-to-Many Matching for DETRs with Feature Augmentation Abstract: One-to-one matching is a crucial design in DETR-like object detection frameworks. It enables the DETR to perform end-to-end detection. However, it also faces challenges of lacking positive sample supervision and slow conve...	[]	Train
42,848	16	Title: Multimodal Prompt Retrieval for Generative Visual Question Answering Abstract: Recent years have witnessed impressive results of pre-trained vision-language models on knowledge-intensive tasks such as visual question answering (VQA). Despite the recent advances in VQA, existing methods mainly adopt a discriminat...	[]	Train
42,849	10	Title: Thespian: Multi-Character Text Role-Playing Game Agents Abstract: Text-adventure games and text role-playing games are grand challenges for reinforcement learning game playing agents. Text role-playing games are open-ended environments where an agent must faithfully play a particular character. We consider the d...	[ 16379 ]	Train
42,850	8	Title: Multimodal Multiple Federated Feature Construction Method for IoT Environments Abstract: The fast development of Internet-of-Things (IoT) devices and applications has led to vast data collection, potentially containing irrelevant, noisy, or redundant features that degrade learning model performance. These collec...	[ 5648 ]	Test
42,851	1	Title: Transcoding Quality Prediction for Adaptive Video Streaming Abstract: In recent years, video streaming applications have proliferated the demand for Video Quality Assessment (VQA). Reduced reference video quality assessment (RR-VQA) is a category of VQA where certain features (e.g., texture, edges) of the origin...	[ 39714, 18036, 31207 ]	Train
42,852	8	Title: Real-Time High-Resolution Pedestrian Detection in Crowded Scenes via Parallel Edge Offloading Abstract: —To identify dense and small-size pedestrians in surveillance systems, high-resolution cameras are widely deployed, where high-resolution images are captured and delivered to off- the-shelf pedestrian detectio...	[]	Train
42,853	24	Title: Two-step counterfactual generation for OOD examples Abstract: Two fundamental requirements for the deployment of machine learning models in safety-critical systems are to be able to detect out-of-distribution (OOD) data correctly and to be able to explain the prediction of the model. Although significant effort ...	[]	Test
42,854	16	Title: MixFormerV2: Efficient Fully Transformer Tracking Abstract: Transformer-based trackers have achieved strong accuracy on the standard benchmarks. However, their efficiency remains an obstacle to practical deployment on both GPU and CPU platforms. In this paper, to overcome this issue, we propose a fully transform...	[ 22680, 26484 ]	Test
42,855	16	Title: SwinFace: A Multi-task Transformer for Face Recognition, Expression Recognition, Age Estimation and Attribute Estimation Abstract: In recent years, vision transformers have been introduced into face recognition and analysis and have achieved performance breakthroughs. However, most previous methods generally tra...	[]	Train
42,856	10	Title: Testing System Intelligence Abstract: We discuss the adequacy of tests for intelligent systems and practical problems raised by their implementation. We propose the replacement test as the ability of a system to replace successfully another system performing a task in a given context. We show how it can characte...	[ 417, 5078 ]	Train
42,857	16	Title: Slot-VAE: Object-Centric Scene Generation with Slot Attention Abstract: Slot attention has shown remarkable object-centric representation learning performance in computer vision tasks without requiring any supervision. Despite its object-centric binding ability brought by compositional modelling, as a determinis...	[ 22010 ]	Train
42,858	10	Title: PASTA: Pretrained Action-State Transformer Agents Abstract: Self-supervised learning has brought about a revolutionary paradigm shift in various computing domains, including NLP, vision, and biology. Recent approaches involve pre-training transformer models on vast amounts of unlabeled data, serving as a startin...	[ 23970, 13700, 24196, 19662, 35250, 13564 ]	Train
42,859	18	Title: Quantum Communication in 6G Satellite Networks: Entanglement Distribution Across Changing Topologies Abstract: As LEO/VLEO satellites offer many attractive features, such as low transmission delay, they are expected to be an integral part of 6G. Global entanglement distribution over LEO and VLEO satellites netwo...	[ 29327 ]	Train
42,860	4	Title: A Secure Third-Party Auditing Scheme Based on Blockchain Technology in Cloud Storage Abstract: With the help of a shared pool of reconfigurable computing resources, clients of the cloud-based model can keep sensitive data remotely and access the apps and services it offers on-demand without having to worry about...	[ 5154, 25547, 28036, 10838 ]	Train
42,861	4	Title: Physical Zero-Knowledge Proof for Ball Sort Puzzle Abstract: nan	[ 5478, 42575 ]	Train
42,862	3	Title: Towards a Contemporary Definition of Cybersecurity Abstract: The report provides an intricate analysis of cyber security defined in contemporary operational digital environments. An extensive literature review is formed to determine how the construct is reviewed in modern scholarly contexts. The article seeks to...	[]	Validation
42,863	25	Title: A Deep Learning Architecture with Spatio-Temporal Focusing for Detecting Respiratory Anomalies Abstract: This paper presents a deep learning system applied for detecting anomalies from respiratory sound recordings. Our system initially performs audio feature extraction using Continuous Wavelet transformation. Th...	[]	Validation
42,864	24	Title: ODIN: On-demand Data Formulation to Mitigate Dataset Lock-in Abstract: ODIN is an innovative approach that addresses the problem of dataset constraints by integrating generative AI models. Traditional zero-shot learning methods are constrained by the training dataset. To fundamentally overcome this limitation, O...	[ 10624 ]	Train
42,865	24	Title: An Introduction to Bi-level Optimization: Foundations and Applications in Signal Processing and Machine Learning Abstract: Recently, bi-level optimization (BLO) has taken center stage in some very exciting developments in the area of signal processing (SP) and machine learning (ML). Roughly speaking, BLO is a cl...	[ 38019, 39261, 7574 ]	Test
42,866	16	Title: On the Benefits of 3D Pose and Tracking for Human Action Recognition Abstract: In this work we study the benefits of using tracking and 3D poses for action recognition. To achieve this, we take the Lagrangian view on analysing actions over a trajectory of human motion rather than at a fixed point in space. Takin...	[ 5632, 15666, 35242, 19882 ]	Train
42,867	24	Title: Towards Complex Dynamic Physics System Simulation with Graph Neural ODEs Abstract: The great learning ability of deep learning models facilitates us to comprehend the real physical world, making learning to simulate complicated particle systems a promising endeavour. However, the complex laws of the physical wor...	[ 36314, 32869 ]	Train
42,868	16	Title: Confidence-aware calibration and scoring functions for curriculum learning Abstract: Despite the great success of state-of-the-art deep neural networks, several studies have reported models to be over-confident in predictions, indicating miscalibration. Label Smoothing has been proposed as a solution to the over...	[]	Train
42,869	16	Title: Understanding Prompt Tuning for V-L Models Through the Lens of Neural Collapse Abstract: Large-scale vision-language (V-L) models have demonstrated remarkable generalization capabilities for downstream tasks through prompt tuning. However, the mechanisms behind the learned text representations are unknown, limit...	[ 27209, 11156, 6556, 42878 ]	Train
42,870	30	Title: Uncertainty-Aware Unlikelihood Learning Improves Generative Aspect Sentiment Quad Prediction Abstract: Recently, aspect sentiment quad prediction has received widespread attention in the field of aspect-based sentiment analysis. Existing studies extract quadruplets via pre-trained generative language models to p...	[ 22525 ]	Test
42,871	24	Title: Neuro-Symbolic Bi-Directional Translation - Deep Learning Explainability for Climate Tipping Point Research Abstract: In recent years, there has been an increase in using deep learning for climate and weather modeling. Though results have been impressive, explainability and interpretability of deep learning mode...	[ 17857, 34149 ]	Train
42,872	16	Title: Inferring High-level Geographical Concepts via Knowledge Graph and Multi-scale Data Integration: A Case Study of C-shaped Building Pattern Recognition Abstract: Effective building pattern recognition is critical for understanding urban form, automating map generalization, and visualizing 3D city models. Most exi...	[]	Train
42,873	4	Title: Secure compilation of rich smart contracts on poor UTXO blockchains Abstract: Most blockchain platforms from Ethereum onwards render smart contracts as stateful reactive objects that update their state and transfer crypto-assets in response to transactions. In this way, they support the development of contracts ...	[]	Train
42,874	16	Title: Not All Steps are Created Equal: Selective Diffusion Distillation for Image Manipulation Abstract: Conditional diffusion models have demonstrated impressive performance in image manipulation tasks. The general pipeline involves adding noise to the image and then denoising it. However, this method faces a trade-o...	[]	Train
42,875	16	Title: Diffusion Probabilistic Models for Scene-Scale 3D Categorical Data Abstract: In this paper, we learn a diffusion model to generate 3D data on a scene-scale. Specifically, our model crafts a 3D scene consisting of multiple objects, while recent diffusion research has focused on a single object. To realize our goa...	[ 8308 ]	Train
42,876	24	Title: Identifying acute illness phenotypes via deep temporal interpolation and clustering network on physiologic signatures Abstract: Initial hours of hospital admission impact clinical trajectory, but early clinical decisions often suffer due to data paucity. With clustering analysis for vital signs within six hours ...	[]	Train
42,877	10	Title: The Two Faces of AI in Green Mobile Computing: A Literature Review Abstract: Artificial intelligence is bringing ever new functionalities to the realm of mobile devices that are now considered essential (e.g., camera and voice assistants, recommender systems). Yet, operating artificial intelligence takes up a su...	[ 43424 ]	Train

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