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
32,678	16	Title: Multimodal Color Recommendation in Vector Graphic Documents Abstract: Color selection plays a critical role in graphic document design and requires sufficient consideration of various contexts. However, recommending appropriate colors which harmonize with the other colors and textual contexts in documents is a c...	[]	Validation
32,679	24	Title: Towards Interpretable Solar Flare Prediction with Attention-based Deep Neural Networks Abstract: Solar flare prediction is a central problem in space weather forecasting and recent developments in machine learning and deep learning accelerated the adoption of complex models for data-driven solar flare forecastin...	[ 19187, 41652 ]	Train
32,680	16	Title: MorphGANFormer: Transformer-based Face Morphing and De-Morphing Abstract: Semantic face image manipulation has received increasing attention in recent years. StyleGAN-based approaches to face morphing are among the leading techniques; however, they often suffer from noticeable blurring and artifacts as a result ...	[]	Train
32,681	24	Title: Enhancing Exploration in Latent Space Bayesian Optimization Abstract: Latent Space Bayesian Optimization (LSBO) combines generative models, typically Variational Autoencoders (VAE), with Bayesian Optimization (BO) to generate de novo objects of interest. However, LSBO faces challenges due to the mismatch between...	[]	Test
32,682	2	Title: Proceedings of the International Workshop on Methodologies for Translating Legal Norms into Formal Representations (LN2FR 2022) in association with 35th International Conference on Legal Knowledge and Information Systems (JURIX 2022) Abstract: This volume contains the papers presented at LN2FR 2022: The Internat...	[]	Train
32,683	24	Title: Symbolic Regression for PDEs using Pruned Differentiable Programs Abstract: Physics-informed Neural Networks (PINNs) have been widely used to obtain accurate neural surrogates for a system of Partial Differential Equations (PDE). One of the major limitations of PINNs is that the neural solutions are challenging ...	[]	Test
32,684	37	Title: COLE: A Column-based Learned Storage for Blockchain Systems Abstract: Blockchain systems suffer from high storage costs as every node needs to store and maintain the entire blockchain data. After investigating Ethereum's storage, we find that the storage cost mostly comes from the index, i.e., Merkle Patricia Tr...	[]	Train
32,685	6	Title: The Dark Side of Augmented Reality: Exploring Manipulative Designs in AR Abstract: Augmented Reality (AR) applications are becoming more mainstream, with successful examples in the mobile environment like Pokemon GO. Current malicious techniques can exploit these environments' immersive and mixed nature (physica...	[]	Test
32,686	26	Title: Minimizing Hitting Time between Disparate Groups with Shortcut Edges Abstract: Structural bias or segregation of networks refers to situations where two or more disparate groups are present in the network, so that the groups are highly connected internally, but loosely connected to each other. Examples include p...	[ 8198 ]	Train
32,687	31	Title: Recommender Systems with Generative Retrieval Abstract: Modern recommender systems leverage large-scale retrieval models consisting of two stages: training a dual-encoder model to embed queries and candidates in the same space, followed by an Approximate Nearest Neighbor (ANN) search to select top candidates giv...	[ 4610, 31401, 9642, 4535, 30143 ]	Validation
32,688	4	Title: Digital and Cloud Forensic Challenges Abstract: Digital forensics and cloud forensics are increasingly important fields that face a range of challenges. This study aims to assess the general challenges faced in these fields. A literature review was conducted to identify the major challenges in digital and cloud ...	[ 30326 ]	Train
32,689	30	Title: On Compositionality and Improved Training of NADO Abstract: NeurAlly-Decomposed Oracle (NADO) is a powerful approach for controllable generation with large language models. Differentiating from finetuning/prompt tuning, it has the potential to avoid catastrophic forgetting of the large base model and achieve gua...	[ 43327 ]	Train
32,690	16	Title: Unified Language-Vision Pretraining with Dynamic Discrete Visual Tokenization Abstract: Recently, the remarkable advance of the Large Language Model (LLM) has inspired researchers to transfer its extraordinary reasoning capability to data across several modalities. The prevailing approaches primarily regard visu...	[ 10624, 30243, 13700, 37987, 16682, 38858, 41104, 27282 ]	Validation
32,691	4	Title: Publicly verifiable delegative democracy with secret voting power Abstract: In a democratic setting, we introduce a commitment scheme which allows for transparent validation of transfers and reversible delegations of voting power between citizens without sacrificing their privacy. A unit of voting power is publi...	[]	Test
32,692	27	Title: Probabilistic Trajectory Planning for Static and Interaction-aware Dynamic Obstacle Avoidance Abstract: Collision-free mobile robot navigation is an important problem for many robotics applications, especially in cluttered environments. In such environments, obstacles can be static or dynamic. Dynamic obstacles ...	[ 2628 ]	Validation
32,693	24	Title: Applications of Machine Learning to Modelling and Analysing Dynamical Systems Abstract: We explore the use of Physics Informed Neural Networks to analyse nonlinear Hamiltonian Dynamical Systems with a first integral of motion. In this work, we propose an architecture which combines existing Hamiltonian Neural Ne...	[]	Test
32,694	16	Title: Reading Between the Lanes: Text VideoQA on the Road Abstract: Text and signs around roads provide crucial information for drivers, vital for safe navigation and situational awareness. Scene text recognition in motion is a challenging problem, while textual cues typically appear for a short time span, and early d...	[]	Train
32,695	5	Title: Legion: Automatically Pushing the Envelope of Multi-GPU System for Billion-Scale GNN Training Abstract: Graph neural network(GNN) has been widely applied in real-world applications, such as product recommendation in e-commerce platforms and risk control in financial management systems. Several cache-based GNN sy...	[]	Train
32,696	16	Title: Unified Adversarial Patch for Cross-modal Attacks in the Physical World Abstract: Recently, physical adversarial attacks have been presented to evade DNNs-based object detectors. To ensure the security, many scenarios are simultaneously deployed with visible sensors and infrared sensors, leading to the failures ...	[ 11363, 38027 ]	Train
32,697	23	Title: Towards Safe Automated Refactoring of Imperative Deep Learning Programs to Graph Execution Abstract: Efficiency is essential to support responsiveness w.r.t. ever-growing datasets, especially for Deep Learning (DL) systems. DL frameworks have traditionally embraced deferred execution-style DL code -- supporting ...	[]	Train
32,698	8	Title: A Framework of Reconfigurable Transducer Nodes for Smart Home Environments Abstract: This letter presents a transducer network framework that supports the amalgamation of multiple transducers into single wireless nodes. This approach is aimed at decreasing energy consumption by reducing the number of wireless tr...	[]	Test
32,699	16	Title: CVB: A Video Dataset of Cattle Visual Behaviors Abstract: Existing image/video datasets for cattle behavior recognition are mostly small, lack well-defined labels, or are collected in unrealistic controlled environments. This limits the utility of machine learning (ML) models learned from them. Therefore, we int...	[]	Train
32,700	16	Title: MMDR: A Result Feature Fusion Object Detection Approach for Autonomous System Abstract: Object detection has been extensively utilized in autonomous systems in recent years, encompassing both 2D and 3D object detection. Recent research in this field has primarily centered around multimodal approaches for address...	[]	Train
32,701	28	Title: RIS-Enabled Smart Wireless Environments: Deployment Scenarios, Network Architecture, Bandwidth and Area of Influence Abstract: Reconfigurable Intelligent Surfaces (RISs) constitute the key enabler for programmable electromagnetic propagation environments, and are lately being considered as a candidate physical-l...	[ 26506, 17115, 31810 ]	Test
32,702	7	Title: Target specific peptide design using latent space approximate trajectory collector Abstract: Despite the prevalence and many successes of deep learning applications in de novo molecular design, the problem of peptide generation targeting specific proteins remains unsolved. A main barrier for this is the scarcity...	[]	Train
32,703	16	Title: Towards Robust Probabilistic Modeling on SO(3) via Rotation Laplace Distribution Abstract: Estimating the 3DoF rotation from a single RGB image is an important yet challenging problem. As a popular approach, probabilistic rotation modeling additionally carries prediction uncertainty information, compared to sing...	[]	Train
32,704	16	Title: How to Train Your CheXDragon: Training Chest X-Ray Models for Transfer to Novel Tasks and Healthcare Systems Abstract: Self-supervised learning (SSL) enables label efficient training for machine learning models. This is essential for domains such as medical imaging, where labels are costly and time-consuming to ...	[]	Train
32,705	16	Title: Relieving Triplet Ambiguity: Consensus Network for Language-Guided Image Retrieval Abstract: Language-guided image retrieval enables users to search for images and interact with the retrieval system more naturally and expressively by using a reference image and a relative caption as a query. Most existing studie...	[]	Test
32,706	16	Title: Cross-Domain Image Captioning with Discriminative Finetuning Abstract: Neural captioners are typically trained to mimic human-generated references without optimizing for any specific communication goal, leading to problems such as the generation of vague captions. In this paper, we show that fine-tuning an out-o...	[ 42786, 451, 29527 ]	Train
32,707	18	Title: A Deep Dive Into the Computational Fidelity of High-Variability Low Energy Barrier Magnet Technology for Accelerating Optimization and Bayesian Problems Abstract: Low energy barrier magnet (LBM) technology has recently been proposed as a candidate for accelerating algorithms based on energy minimization and prob...	[ 22952 ]	Train
32,708	16	Title: Revisiting and Exploring Efficient Fast Adversarial Training via LAW: Lipschitz Regularization and Auto Weight Averaging Abstract: Fast Adversarial Training (FAT) not only improves the model robustness but also reduces the training cost of standard adversarial training. However, fast adversarial training often s...	[]	Validation
32,709	24	Title: Permutation Decision Trees Abstract: Decision Tree is a well understood Machine Learning model that is based on minimizing impurities in the internal nodes. The most common impurity measures are Shannon entropy and Gini impurity. These impurity measures are insensitive to the order of training data and hence the...	[]	Train
32,710	16	Title: Multi-Modal Dataset Acquisition for Photometrically Challenging Object Abstract: This paper addresses the limitations of current datasets for 3D vision tasks in terms of accuracy, size, realism, and suitable imaging modalities for photometrically challenging objects. We propose a novel annotation and acquisition...	[]	Train
32,711	30	Title: Learning Multi-Step Reasoning by Solving Arithmetic Tasks Abstract: Mathematical reasoning is regarded as a necessary ability for Language Models (LMs). Recent works demonstrate large LMs’ impressive performance in solving math problems. The success is attributed to their Chain-of-Thought (CoT) reasoning abiliti...	[]	Test
32,712	24	Title: Towards Adversarially Robust Continual Learning Abstract: Recent studies show that models trained by continual learning can achieve the comparable performances as the standard supervised learning and the learning flexibility of continual learning models enables their wide applications in the real world. Deep lea...	[ 30320 ]	Train
32,713	16	Title: Multilevel Large Language Models for Everyone Abstract: Large language models have made significant progress in the past few years. However, they are either generic {\it or} field specific, splitting the community into different groups. In this paper, we unify these large language models into a larger map, where...	[ 40192, 23554, 4111, 36047, 27282, 31003 ]	Validation
32,714	4	Title: Blockchain-Aided Secure Semantic Communication for AI-Generated Content in Metaverse Abstract: The construction of virtual transportation networks requires massive data to be transmitted from edge devices to Virtual Service Providers (VSP) to facilitate circulations between the physical and virtual domains in Me...	[ 1603, 8419, 30925, 1646, 17711, 11480 ]	Validation
32,715	17	Title: Street Layout Design via Conditional Adversarial Learning Abstract: Designing high-quality urban street layouts has long been in high demand, but entangles notable challenges. Conventional methods based on deep generative models are yet to fill the gap on integrating both natural and socioeconomic factors in the...	[]	Train
32,716	28	Title: Smoothing of binary codes, uniform distributions, and applications Abstract: The action of a noise operator on a code transforms it into a distribution on the respective space. Some common examples from information theory include Bernoulli noise acting on a code in the Hamming space and Gaussian noise acting on ...	[ 15310 ]	Test
32,717	24	Title: Binary domain generalization for sparsifying binary neural networks Abstract: Binary neural networks (BNNs) are an attractive solution for developing and deploying deep neural network (DNN)-based applications in resource constrained devices. Despite their success, BNNs still suffer from a fixed and limited compr...	[]	Train
32,718	5	Title: Decentralized Local Updates with Dual-Slow Estimation and Momentum-based Variance-Reduction for Non-Convex Optimization Abstract: Decentralized learning (DL) has recently employed local updates to reduce the communication cost for general non-convex optimization problems. Specifically, local updates require each...	[]	Train
32,719	27	Title: Train Offline, Test Online: A Real Robot Learning Benchmark Abstract: Three challenges limit the progress of robot learning research: robots are expensive (few labs can participate), everyone uses different robots (findings do not generalize across labs), and we lack internet-scale robotics data. We take on thes...	[ 33673, 7419, 43473 ]	Test
32,720	24	Title: DEK-Forecaster: A Novel Deep Learning Model Integrated with EMD-KNN for Traffic Prediction Abstract: Internet traffic volume estimation has a significant impact on the business policies of the ISP (Internet Service Provider) industry and business successions. Forecasting the internet traffic demand helps to shed...	[]	Train
32,721	24	Title: Effect of Choosing Loss Function when Using T-batching for Representation Learning on Dynamic Networks Abstract: Representation learning methods have revolutionized machine learning on networks by converting discrete network structures into continuous domains. However, dynamic networks that evolve over time pose...	[]	Train
32,722	30	Title: Model-Agnostic Meta-Learning for Multilingual Hate Speech Detection Abstract: Hate speech in social media is a growing phenomenon, and detecting such toxic content has recently gained significant traction in the research community. Existing studies have explored fine-tuning language models (LMs) to perform hate ...	[]	Test
32,723	31	Title: Incorporating Recklessness to Collaborative Filtering based Recommender Systems Abstract: Recommender systems that include some reliability measure of their predictions tend to be more conservative in forecasting, due to their constraint to preserve reliability. This leads to a significant drop in the coverage a...	[]	Test
32,724	24	Title: Short-Term Load Forecasting Using A Particle-Swarm Optimized Multi-Head Attention-Augmented CNN-LSTM Network Abstract: Short-term load forecasting is of paramount importance in the efficient operation and planning of power systems, given its inherent non-linear and dynamic nature. Recent strides in deep learning...	[]	Train
32,725	27	Title: GoNet: An Approach-Constrained Generative Grasp Sampling Network Abstract: Constraining the approach direction of grasps is important when picking objects in confined spaces, such as when emptying a shelf. Yet, such capabilities are not available in state-of-the-art data-driven grasp sampling methods that sample...	[ 2483, 16037 ]	Train
32,726	2	Title: Generalizing Weighted Path Orders Abstract: We show that weighted path orders are special instances of a variant of semantic path orders. Exploiting this fact, we introduce a generalization of weighted path orders that goes beyond the realm of simple termination. Experimental data show that generalized weighted ...	[]	Test
32,727	16	Title: MM-SFENet: Multi-scale Multi-task Localization and Classification of Bladder Cancer in MRI with Spatial Feature Encoder Network Abstract: Background and Objective: Bladder cancer is a common malignant urinary carcinoma, with muscle-invasive and non-muscle-invasive as its two major subtypes. This paper aims to ac...	[]	Train
32,728	24	Title: Leveraging arbitrary mobile sensor trajectories with shallow recurrent decoder networks for full-state reconstruction Abstract: Sensing is one of the most fundamental tasks for the monitoring, forecasting and control of complex, spatio-temporal systems. In many applications, a limited number of sensors are mobil...	[]	Train
32,729	27	Title: Optimal Initialization Strategies for Range-Only Trajectory Estimation Abstract: Range-only (RO) pose estimation involves determining a robot's pose over time by measuring the distance between multiple devices on the robot, known as tags, and devices installed in the environment, known as anchors. The nonconvex ...	[ 17009, 21595, 12823 ]	Train
32,730	30	Title: Interleaving Pre-Trained Language Models and Large Language Models for Zero-Shot NL2SQL Generation Abstract: Zero-shot NL2SQL is crucial in achieving natural language to SQL that is adaptive to new environments (e.g., new databases, new linguistic phenomena or SQL structures) with zero annotated NL2SQL samples f...	[ 40192, 23425, 37957, 22216, 1326, 19250, 4351 ]	Train
32,731	24	Title: FTA: Stealthy and Robust Backdoor Attack with Flexible Trigger on Federated Learning Abstract: Current backdoor attacks against federated learning (FL) strongly rely on universal triggers or semantic patterns, which can be easily detected and filtered by certain defense mechanisms such as norm clipping, comparin...	[]	Test
32,732	23	Title: Locating Community Smells in Software Development Processes Using Higher-Order Network Centralities Abstract: Community smells are negative patterns in software development teams' interactions that impede their ability to successfully create software. Examples are team members working in isolation, lack of commu...	[]	Train
32,733	24	Title: Tensor Decomposition for Model Reduction in Neural Networks: A Review [Feature] Abstract: Modern neural networks have revolutionized the fields of computer vision (CV) and Natural Language Processing (NLP). They are widely used for solving complex CV tasks and NLP tasks such as image classification, image genera...	[]	Train
32,734	16	Title: Dual Adversarial Alignment for Realistic Support-Query Shift Few-shot Learning Abstract: Support-query shift few-shot learning aims to classify unseen examples (query set) to labeled data (support set) based on the learned embedding in a low-dimensional space under a distribution shift between the support set an...	[]	Train
32,735	30	Title: "You might think about slightly revising the title”: Identifying Hedges in Peer-tutoring Interactions Abstract: Hedges have an important role in the management of rapport. In peer-tutoring, they are notably used by tutors in dyads experiencing low rapport to tone down the impact of instructions and negative feed...	[ 12896, 11171, 15534 ]	Test
32,736	30	Title: Document Automation Architectures: Updated Survey in Light of Large Language Models Abstract: This paper surveys the current state of the art in document automation (DA). The objective of DA is to reduce the manual effort during the generation of documents by automatically creating and integrating input from dif...	[ 40192, 634, 33220, 45646 ]	Train
32,737	16	Title: Contracting Skeletal Kinematics for Human-Related Video Anomaly Detection Abstract: Detecting the anomaly of human behavior is paramount to timely recognizing endangering situations, such as street fights or elderly falls. However, anomaly detection is complex since anomalous events are rare and because it is an...	[ 17017 ]	Validation
32,738	16	Title: FODVid: Flow-guided Object Discovery in Videos Abstract: Segmentation of objects in a video is challenging due to the nuances such as motion blurring, parallax, occlusions, changes in illumination, etc. Instead of addressing these nuances separately, we focus on building a generalizable solution that avoids over...	[]	Train
32,739	18	Title: Mathematical Foundations of Quantum Computing for Computer Science Researchers Abstract: This paper provides a short introduction to the mathematical foundation of quantum computation for researchers in computer science by providing an introduction fo the mathematical basis of calculations. This paper concerns t...	[]	Train
32,740	24	Title: Hardware Realization of Nonlinear Activation Functions for NN-based Optical Equalizers Abstract: To reduce the complexity of the hardware implementation of neural network-based optical channel equalizers, we demonstrate that the performance of the biLSTM equalizer with approximated activation functions is close ...	[]	Train
32,741	16	Title: EscherNet 101 Abstract: A deep learning model, EscherNet 101, is constructed to categorize images of 2D periodic patterns into their respective 17 wallpaper groups. Beyond evaluating EscherNet 101 performance by classification rates, at a micro-level we investigate the filters learned at different layers in the ...	[]	Validation
32,742	16	Title: Semi-Supervised Parametric Real-World Image Harmonization Abstract: Learning-based image harmonization techniques are usually trained to undo synthetic random global transformations applied to a masked foreground in a single ground truth photo. This simulated data does not model many of the important appearance ...	[]	Train
32,743	30	Title: Locale Encoding For Scalable Multilingual Keyword Spotting Models Abstract: A Multilingual Keyword Spotting (KWS) system detects spokenkeywords over multiple locales. Conventional monolingual KWSapproaches do not scale well to multilingual scenarios because ofhigh development/maintenance costs and lack of resour...	[]	Validation
32,744	30	Title: The unreasonable effectiveness of few-shot learning for machine translation Abstract: We demonstrate the potential of few-shot translation systems, trained with unpaired language data, for both high and low-resource language pairs. We show that with only 5 examples of high-quality translation data shown at infer...	[ 19010, 21956, 31493, 44727, 30423, 16555, 34347, 28367, 31923, 20502, 24150, 1528, 8571, 20764, 15358 ]	Train
32,745	24	Title: Incomplete Multi-view Clustering via Prototype-based Imputation Abstract: In this paper, we study how to achieve two characteristics highly-expected by incomplete multi-view clustering (IMvC). Namely, i) instance commonality refers to that within-cluster instances should share a common pattern, and ii) view vers...	[ 23241 ]	Train
32,746	16	Title: Boundary-RL: Reinforcement Learning for Weakly-Supervised Prostate Segmentation in TRUS Images Abstract: We propose Boundary-RL, a novel weakly supervised segmentation method that utilises only patch-level labels for training. We envision the segmentation as a boundary detection problem, rather than a pixel-leve...	[]	Train
32,747	34	Title: A New Upper Bound on the Maximal Error Resilience of Interactive Error-Correcting Codes Abstract: In an interactive error-correcting code (iECC), Alice and Bob engage in an interactive protocol with the goal of Alice communicating a message $x \in \{ 0, 1 \}^k$ to Bob in such a way that even if some fraction of ...	[]	Test
32,748	30	Title: "Kurosawa": A Script Writer's Assistant Abstract: Storytelling is the lifeline of the entertainment industry -- movies, TV shows, and stand-up comedies, all need stories. A good and gripping script is the lifeline of storytelling and demands creativity and resource investment. Good scriptwriters are rare to find...	[]	Test
32,749	11	Title: An Integrated System Dynamics and Discrete Event Supply Chain Simulation Framework for Supply Chain Resilience with Non-Stationary Pandemic Demand Abstract: COVID-19 resulted in some of the largest supply chain disruptions in recent history. To mitigate the impact of future disruptions, we propose an integrated ...	[]	Validation
32,750	30	Title: Causal schema induction for knowledge discovery Abstract: Making sense of familiar yet new situations typically involves making generalizations about causal schemas, stories that help humans reason about event sequences. Reasoning about events includes identifying cause and effect relations shared across event i...	[]	Train
32,751	16	Title: Group Orthogonalization Regularization For Vision Models Adaptation and Robustness Abstract: As neural networks become deeper, the redundancy within their parameters increases. This phenomenon has led to several methods that attempt to reduce the correlation between convolutional filters. We propose a computatio...	[ 13700 ]	Train
32,752	4	Title: CToMP: A Cycle-task-oriented Memory Protection Scheme for Unmanned Systems Abstract: nan	[]	Validation
32,753	16	Title: Building3D: An Urban-Scale Dataset and Benchmarks for Learning Roof Structures from Point Clouds Abstract: Urban modeling from LiDAR point clouds is an important topic in computer vision, computer graphics, photogrammetry and remote sensing. 3D city models have found a wide range of applications in smart cities,...	[]	Train
32,754	36	Title: Trading Off Voting Axioms for Privacy Abstract: In this paper, we investigate tradeoffs among differential privacy (DP) and several important voting axioms: Pareto efficiency, SD-efficiency, PC-efficiency, Condorcet consistency, and Condorcet loser criterion. We provide upper and lower bounds on the two-way trad...	[]	Validation
32,755	25	Title: Adaptation and Optimization of Automatic Speech Recognition (ASR) for the Maritime Domain in the Field of VHF Communication Abstract: This paper introduces a multilingual automatic speech recognizer (ASR) for maritime radio communi-cation that automatically converts received VHF radio signals into text. The chal...	[]	Train
32,756	24	Title: Hyperbolic Convolution via Kernel Point Aggregation Abstract: Learning representations according to the underlying geometry is of vital importance for non-Euclidean data. Studies have revealed that the hyperbolic space can effectively embed hierarchical or tree-like data. In particular, the few past years have w...	[]	Train
32,757	39	Title: Reconstructing words using queries on subwords or factors Abstract: We study word reconstruction problems. Improving a previous result by P. Fleischmann, M. Lejeune, F. Manea, D. Nowotka and M. Rigo, we prove that, for any unknown word $w$ of length $n$ over an alphabet of cardinality $k$, $w$ can be reconstruct...	[]	Validation
32,758	22	Title: Search-Based Regular Expression Inference on a GPU Abstract: Regular expression inference (REI) is a supervised machine learning and program synthesis problem that takes a cost metric for regular expressions, and positive and negative examples of strings as input. It outputs a regular expression that is precise ...	[ 35368 ]	Train
32,759	4	Title: Preventing Malicious Use of Keyloggers Using Anti-Keyloggers Abstract: Multinational corporations routinely track how its employees use their computers, the internet, or email. There are roughly a thousand devices on the market that enable businesses to monitor their workforce. Observe what their users do online...	[]	Train
32,760	30	Title: End-to-End Simultaneous Speech Translation with Differentiable Segmentation Abstract: End-to-end simultaneous speech translation (SimulST) outputs translation while receiving the streaming speech inputs (a.k.a. streaming speech translation), and hence needs to segment the speech inputs and then translate based o...	[ 9211, 4045 ]	Train
32,761	2	Title: Linear Termination over N is Undecidable Abstract: Recently it was shown that it is undecidable whether a term rewrite system can be proved terminating by a polynomial interpretation in the natural numbers. In this paper we show that this is also the case when restricting the interpretations to linear polynomial...	[]	Train
32,762	16	Title: Flexible Techniques for Differentiable Rendering with 3D Gaussians Abstract: Fast, reliable shape reconstruction is an essential ingredient in many computer vision applications. Neural Radiance Fields demonstrated that photorealistic novel view synthesis is within reach, but was gated by performance requirements...	[ 19781, 9319, 16521, 24716, 3377, 37694, 7007 ]	Train
32,763	5	Title: Evaluating The Impact Of Cloud-Based Microservices Architecture On Application Performance Abstract: The study assesses the impact of cloud-based microservices architectures on application performance. Several aspects of performance evaluation are discussed, including response time, throughput, scalability, and ...	[]	Validation
32,764	30	Title: Document Summarization with Text Segmentation Abstract: In this paper, we exploit the innate document segment structure for improving the extractive summarization task. We build two text segmentation models and find the most optimal strategy to introduce their output predictions in an extractive summarization mo...	[ 41427 ]	Validation
32,765	23	Title: Understanding Hackers' Work: An Empirical Study of Offensive Security Practitioners Abstract: Offensive security-tests are a common way to pro-actively discover potential vulnerabilities. They are performed by specialists, often called penetration-testers or white-hat hackers. The chronic lack of available white...	[ 45115 ]	Train
32,766	8	Title: A Dual-Cluster-Head Based Medium Access Control for Large-Scale UAV Ad-Hoc Networks Abstract: Unmanned Aerial Vehicle (UAV) ad hoc network has achieved significant growth for its flexibility, extensibility, and high deployability in recent years. The application of clustering scheme for UAV ad hoc network is imp...	[]	Test
32,767	30	Title: Facilitating Multi-turn Emotional Support Conversation with Positive Emotion Elicitation: A Reinforcement Learning Approach Abstract: Emotional support conversation (ESC) aims to provide emotional support (ES) to improve one’s mental state. Existing works stay at fitting grounded responses and responding strateg...	[]	Train
32,768	16	Title: ReLight My NeRF: A Dataset for Novel View Synthesis and Relighting of Real World Objects Abstract: In this paper, we focus on the problem of rendering novel views from a Neural Radiance Field (NeRF) under unobserved light conditions. To this end, we introduce a novel dataset, dubbed ReNe (Relighting NeRF), frami...	[ 36995 ]	Train
32,769	37	Title: The FOLE Database Abstract: This paper continues the discussion of the representation and interpretation of ontologies in the first-order logical environment {\ttfamily FOLE} (Kent). Ontologies are represented and interpreted in (many-sorted) first-order logic. Five papers provide a rigorous mathematical represe...	[]	Train
32,770	34	Title: Ranking with submodular functions on the fly Abstract: Maximizing submodular functions have been studied extensively for a wide range of subset-selection problems. However, much less attention has been given to the role of submodularity in sequence-selection and ranking problems. A recently-introduced framework,...	[]	Train
32,771	15	Title: Modular Hardware Design with Timeline Types Abstract: Modular design is a key challenge for enabling large-scale reuse of hardware modules. Unlike software, however, hardware designs correspond to physical circuits and inherit constraints from them. Timing constraints—which cycle a signal arrives, when an input ...	[ 44613 ]	Train
32,772	30	Title: A Picture is Worth a Thousand Words: Language Models Plan from Pixels Abstract: Planning is an important capability of artificial agents that perform long-horizon tasks in real-world environments. In this work, we explore the use of pre-trained language models (PLMs) to reason about plan sequences from text inst...	[]	Validation
32,773	6	Title: ContextLabeler dataset: Physical and virtual sensors data collected from smartphone usage in-the-wild Abstract: nan	[ 28146 ]	Validation
32,774	30	Title: Multijugate Dual Learning for Low-Resource Task-Oriented Dialogue System Abstract: Dialogue data in real scenarios tend to be sparsely available, rendering data-starved end-to-end dialogue systems trained inadequately. We discover that data utilization efficiency in low-resource scenarios can be enhanced by mini...	[]	Train
32,775	6	Title: Measuring arousal and stress physiology on Esports, a League of Legends case study Abstract: Esports gaming is an area in which videogame players need to cooperate and compete with each other, influencing their cognitive load, processing, stress, and social skills. Here it is unknown to which extent competitive ...	[]	Validation
32,776	16	Title: RIFT2: Speeding-up RIFT with A New Rotation-Invariance Technique Abstract: Multimodal image matching is an important prerequisite for multisource image information fusion. Compared with the traditional matching problem, multimodal feature matching is more challenging due to the severe nonlinear radiation distort...	[]	Validation
32,777	16	Title: Event Camera Data Pre-training Abstract: This paper proposes a pre-trained neural network for handling event camera data. Our model is a self-supervised learning framework, and uses paired event camera data and natural RGB images for training. Our method contains three modules connected in a sequence: i) a famil...	[ 30353 ]	Train

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