node_id int64 0 76.9k | label int64 0 39 | text stringlengths 13 124k | neighbors listlengths 0 3.32k | mask stringclasses 4
values |
|---|---|---|---|---|
44,378 | 30 | Title: Joint Modelling of Spoken Language Understanding Tasks with Integrated Dialog History
Abstract: Most human interactions occur in the form of spoken conversations where the semantic meaning of a given utterance depends on the context. Each utterance in spoken conversation can be represented by many semantic and s... | [] | Train |
44,379 | 36 | Title: Algorithmic Solutions for Maximizing Shareable Costs
Abstract: This paper addresses the optimization problem to maximize the total costs that can be shared among a group of agents, while maintaining stability in the sense of the core constraints of a cooperative transferable utility game, or TU game. When maximi... | [] | Train |
44,380 | 23 | Title: Vulnerability Propagation in Package Managers Used in iOS Development
Abstract: Although using third-party libraries is common practice when writing software, vulnerabilities may be found even in well-known libraries. Detected vulnerabilities are often fixed quickly in the library code. The easiest way to includ... | [] | Train |
44,381 | 4 | Title: DIVAS: An LLM-based End-to-End Framework for SoC Security Analysis and Policy-based Protection
Abstract: Securing critical assets in a bus-based System-On-Chip (SoC) is imperative to mitigate potential vulnerabilities and prevent unauthorized access, ensuring the integrity, availability, and confidentiality of t... | [
17800,
26766,
29781,
13838
] | Test |
44,382 | 24 | Title: Operator theory, kernels, and Feedforward Neural Networks
Abstract: In this paper we show how specific families of positive definite kernels serve as powerful tools in analyses of iteration algorithms for multiple layer feedforward Neural Network models. Our focus is on particular kernels that adapt well to lear... | [] | Train |
44,383 | 4 | Title: LemonLDAP::NG A Full AAA Free Open Source WebSSO Solution
Abstract: Nowadays, security is becoming a major issue and concern. More and more organizations like hospitals, metropolis or banks are under cyberattacks and have to improve their network infrastructure security. The first prerequisites are to authentica... | [] | Test |
44,384 | 16 | Title: METransformer: Radiology Report Generation by Transformer with Multiple Learnable Expert Tokens
Abstract: In clinical scenarios, multi-specialist consultation could significantly benefit the diagnosis, especially for intricate cases. This inspires us to explore a “multi-expert joint diagnosis” mechanism to upgra... | [
18368,
23618
] | Train |
44,385 | 13 | Title: Runtime Analyses of Multi-Objective Evolutionary Algorithms in the Presence of Noise
Abstract: In single-objective optimization, it is well known that evolutionary algorithms also without further adjustments can stand a certain amount of noise in the evaluation of the objective function. In contrast, this questi... | [
28340,
39607
] | Train |
44,386 | 24 | Title: Dynamic Early Exiting Predictive Coding Neural Networks
Abstract: Internet of Things (IoT) sensors are nowadays heavily utilized in various real-world applications ranging from wearables to smart buildings passing by agrotechnology and health monitoring. With the huge amounts of data generated by these tiny devi... | [
27753
] | Train |
44,387 | 31 | Title: Cross-Element Combinatorial Selection for Multi-Element Creative in Display Advertising
Abstract: The effectiveness of ad creatives is greatly influenced by their visual appearance. Advertising platforms can generate ad creatives with different appearances by combining creative elements provided by advertisers. ... | [
40743
] | Validation |
44,388 | 8 | Title: Network-Calculus Service Curves of the Interleaved Regulator
Abstract: The interleaved regulator (implemented by IEEE TSN Asynchronous Traffic Shaping) is used in time-sensitive networks for reshaping the flows with per-flow contracts. When applied to an aggregate of flows that come from a FIFO system, an interl... | [] | Train |
44,389 | 16 | Title: Audio-Visual Glance Network for Efficient Video Recognition
Abstract: Deep learning has made significant strides in video understanding tasks, but the computation required to classify lengthy and massive videos using clip-level video classifiers remains impractical and prohibitively expensive. To address this is... | [] | Test |
44,390 | 3 | Title: Socio-economic landscape of digital transformation & public NLP systems: A critical review
Abstract: The current wave of digital transformation has spurred digitisation reforms and has led to prodigious development of AI&NLP systems, with several of them entering the public domain. There is a perception that the... | [] | Validation |
44,391 | 27 | Title: BiRP: Learning Robot Generalized Bimanual Coordination using Relative Parameterization Method on Human Demonstration
Abstract: Human bimanual manipulation can perform more complex tasks than a simple combination of two single arms, which is credited to the spatio-temporal coordination between the arms. However, ... | [
23220
] | Test |
44,392 | 27 | Title: Active Robot Vision for Distant Object Change Detection: A Lightweight Training Simulator Inspired by Multi-Armed Bandits
Abstract: In ground-view object change detection, the recently emerging map-less navigation has great potential as a means of navigating a robot to distantly detected objects and identifying ... | [] | Validation |
44,393 | 10 | Title: Explaining CLIP through Co-Creative Drawings and Interaction
Abstract: This paper analyses a visual archive of drawings produced by an interactive robotic art installation where audience members narrated their dreams into a system powered by CLIPdraw deep learning (DL) model that interpreted and transformed thei... | [] | Train |
44,394 | 16 | Title: AdaOPC: A Self-Adaptive Mask Optimization Framework For Real Design Patterns
Abstract: Optical proximity correction (OPC) is a widely-used resolution enhancement technique (RET) for printability optimization. Recently, rigorous numerical optimization and fast machine learning are the research focus of OPC in bot... | [
24000,
24472
] | Train |
44,395 | 7 | Title: Finding the Optimum Design of Large Gas Engines Prechambers Using CFD and Bayesian Optimization
Abstract: The turbulent jet ignition concept using prechambers is a promising solution to achieve stable combustion at lean conditions in large gas engines, leading to high efficiency at low emission levels. Due to th... | [] | Test |
44,396 | 16 | Title: Full or Weak Annotations? An Adaptive Strategy for Budget-Constrained Annotation Campaigns
Abstract: Annotating new datasets for machine learning tasks is tedious, time-consuming, and costly. For segmentation applications, the burden is particularly high as manual delin-eations of relevant image content are ofte... | [] | Validation |
44,397 | 23 | Title: Invited: Automated Code generation for Information Technology Tasks in YAML through Large Language Models
Abstract: The recent improvement in code generation capabilities due to the use of large language models has mainly benefited general purpose programming languages. Domain specific languages, such as the one... | [
13700,
33220
] | Train |
44,398 | 16 | Title: Learning Trustworthy Model from Noisy Labels based on Rough Set for Surface Defect Detection
Abstract: —In the surface defect detection, there are some suspicious regions that cannot be uniquely classified as abnormal or normal. The annotating of suspicious regions is easily affected by factors such as workers’ e... | [] | Train |
44,399 | 16 | Title: Semi-supervised Contrastive Regression for Estimation of Eye Gaze
Abstract: With the escalated demand of human-machine interfaces for intelligent systems, development of gaze controlled system have become a necessity. Gaze, being the non-intrusive form of human interaction, is one of the best suited approach. Ap... | [] | Test |
44,400 | 23 | Title: Is It Enough to Recommend Tasks to Newcomers? Understanding Mentoring on Good First Issues
Abstract: Newcomers are critical for the success and continuity of open source software (OSS) projects. To attract newcomers and facilitate their onboarding, many OSS projects recommend tasks for newcomers, such as good fi... | [
33773,
31654
] | Train |
44,401 | 20 | Title: Dual-Quaternion Interpolation
Abstract: Transformations in the field of computer graphics and geometry are one of the most important concepts for efficient manipulation and control of objects in 2-dimensional and 3-dimensional space. Transformations take many forms each with their advantages and disadvantages. A... | [] | Validation |
44,402 | 24 | Title: ZeroQuant-FP: A Leap Forward in LLMs Post-Training W4A8 Quantization Using Floating-Point Formats
Abstract: In the complex domain of large language models (LLMs), striking a balance between computational efficiency and maintaining model quality is a formidable challenge. Navigating the inherent limitations of un... | [
16866,
6979,
13700,
21157,
5649,
1234,
20467,
36887,
1141,
5815
] | Train |
44,403 | 24 | Title: Decentralized Randomly Distributed Multi-agent Multi-armed Bandit with Heterogeneous Rewards
Abstract: We study a decentralized multi-agent multi-armed bandit problem in which multiple clients are connected by time dependent random graphs provided by an environment. The reward distributions of each arm vary acro... | [
17089
] | Train |
44,404 | 23 | Title: Characterizing Bugs in Python and R Data Analytics Programs
Abstract: R and Python are among the most popular languages used in many critical data analytics tasks. However, we still do not fully understand the capabilities of these two languages w.r.t. bugs encountered in data analytics tasks. What type of bugs ... | [] | Train |
44,405 | 28 | Title: Efficient Algorithms for Constructing Minimum-Weight Codewords in Some Extended Binary BCH Codes
Abstract: We present $O(m^3)$ algorithms for specifying the support of minimum-weight words of extended binary BCH codes of length $n=2^m$ and designed distance $d(m,s,i):=2^{m-1-s}-2^{m-1-i-s}$ for some values of $m... | [] | Test |
44,406 | 24 | Title: Graph Exploration for Effective Multi-agent Q-Learning
Abstract: This paper proposes an exploration technique for multi-agent reinforcement learning (MARL) with graph-based communication among agents. We assume the individual rewards received by the agents are independent of the actions by the other agents, whil... | [] | Train |
44,407 | 16 | Title: Rail Detection: An Efficient Row-based Network and a New Benchmark
Abstract: Rail detection, essential for railroad anomaly detection, aims to identify the railroad region in video frames. Although various studies on rail detection exist, neither an open benchmark nor a high-speed network is available in the com... | [
9409
] | Train |
44,408 | 24 | Title: SeFNet: Bridging Tabular Datasets with Semantic Feature Nets
Abstract: Machine learning applications cover a wide range of predictive tasks in which tabular datasets play a significant role. However, although they often address similar problems, tabular datasets are typically treated as standalone tasks. The pos... | [
24473
] | Train |
44,409 | 10 | Title: Decision-Making Under Uncertainty: Beyond Probabilities
Abstract: This position paper reflects on the state-of-the-art in decision-making under uncertainty. A classical assumption is that probabilities can sufficiently capture all uncertainty in a system. In this paper, the focus is on the uncertainty that goes ... | [
25722,
13979
] | Test |
44,410 | 26 | Title: Friction Interventions to Curb the Spread of Misinformation on Social Media
Abstract: Social media has enabled the spread of information at unprecedented speeds and scales, and with it the proliferation of high-engagement, low-quality content. *Friction* -- behavioral design measures that make the sharing of con... | [
39680
] | Train |
44,411 | 16 | Title: Automatic Signboard Recognition in Low Quality Night Images
Abstract: An essential requirement for driver assistance systems and autonomous driving technology is implementing a robust system for detecting and recognizing traffic signs. This system enables the vehicle to autonomously analyze the environment and m... | [] | Validation |
44,412 | 24 | Title: Characteristics of networks generated by kernel growing neural gas
Abstract: This research aims to develop kernel GNG, a kernelized version of the growing neural gas (GNG) algorithm, and to investigate the features of the networks generated by the kernel GNG. The GNG is an unsupervised artificial neural network ... | [] | Train |
44,413 | 30 | Title: Vocab-Expander: A System for Creating Domain-Specific Vocabularies Based on Word Embeddings
Abstract: In this paper, we propose Vocab-Expander at https://vocab-expander.com, an online tool that enables end-users (e.g., technology scouts) to create and expand a vocabulary of their domain of interest. It utilizes ... | [] | Train |
44,414 | 3 | Title: Socialbots and the Challenges of Cyberspace Awareness
Abstract: As security communities brace for the emerging social automation based threats, we examine the mechanisms of developing situation awareness in cyberspace and the governance issues that socialbots bring into this existing paradigm of cyber situation ... | [] | Test |
44,415 | 6 | Title: UX Heuristics and Checklist for Deep Learning powered Mobile Applications with Image Classification
Abstract: Advances in mobile applications providing image classification enabled by Deep Learning require innovative User Experience solutions in order to assure their adequate use by users. To aid the design proc... | [] | Train |
44,416 | 24 | Title: Zero-Shot Robustification of Zero-Shot Models With Foundation Models
Abstract: Zero-shot inference is a powerful paradigm that enables the use of large pretrained models for downstream classification tasks without further training. However, these models are vulnerable to inherited biases that can impact their pe... | [
3777,
20562,
13700,
5852
] | Train |
44,417 | 39 | Title: Adaptive large neighborhood search for a personnel task scheduling problem with task selection and parallel task assignments
Abstract: Motivated by a real-world application, we model and solve a complex staff scheduling problem. Tasks are to be assigned to workers for supervision. Multiple tasks can be covered i... | [] | Validation |
44,418 | 24 | Title: Bandit Multi-linear DR-Submodular Maximization and Its Applications on Adversarial Submodular Bandits
Abstract: We investigate the online bandit learning of the monotone multi-linear DR-submodular functions, designing the algorithm $\mathtt{BanditMLSM}$ that attains $O(T^{2/3}\log T)$ of $(1-1/e)$-regret. Then w... | [
29958,
7327
] | Test |
44,419 | 30 | Title: Consistency Analysis of ChatGPT
Abstract: ChatGPT, a question-and-answer dialogue system based on a large language model, has gained huge popularity since its introduction. Its positive aspects have been reported through many media platforms, and some analyses even showed that ChatGPT achieved a decent grade in ... | [
40192,
9569,
38849,
387,
28580,
33699,
20881,
25973,
26357,
30775,
44246,
13278
] | Validation |
44,420 | 37 | Title: The Fast and the Private: Task-based Dataset Search
Abstract: Modern dataset search platforms employ ML task-based utility metrics instead of relying on metadata-based keywords to comb through extensive dataset repositories. In this setup, requesters provide an initial dataset, and the platform identifies comple... | [
10368,
39873,
3757,
39282,
33942,
31518
] | Train |
44,421 | 24 | Title: [Re] Double Sampling Randomized Smoothing
Abstract: This paper is a contribution to the reproducibility challenge in the field of machine learning, specifically addressing the issue of certifying the robustness of neural networks (NNs) against adversarial perturbations. The proposed Double Sampling Randomized Sm... | [] | Train |
44,422 | 10 | Title: Variations on the Reinforcement Learning performance of Blackjack
Abstract: Blackjack or"21"is a popular card-based game of chance and skill. The objective of the game is to win by obtaining a hand total higher than the dealer's without exceeding 21. The ideal blackjack strategy will maximize financial return in... | [] | Test |
44,423 | 27 | Title: Euclidean and non-Euclidean Trajectory Optimization Approaches for Quadrotor Racing
Abstract: We present two approaches to compute raceline trajectories for quadrotors by solving an optimal control problem. The approaches involve expressing quadrotor pose in either a Euclidean or non-Euclidean frame of reference... | [
6663
] | Train |
44,424 | 4 | Title: FedZKP: Federated Model Ownership Verification with Zero-knowledge Proof
Abstract: Federated learning (FL) allows multiple parties to cooperatively learn a federated model without sharing private data with each other. The need of protecting such federated models from being plagiarized or misused, therefore, moti... | [
12468
] | Train |
44,425 | 31 | Title: E Pluribus Unum: Guidelines on Multi-Objective Evaluation of Recommender Systems
Abstract: Recommender Systems today are still mostly evaluated in terms of accuracy, with other aspects beyond the immediate relevance of recommendations, such as diversity, long-term user retention and fairness, often taking a back... | [] | Train |
44,426 | 24 | Title: Composing Task Knowledge with Modular Successor Feature Approximators
Abstract: Recently, the Successor Features and Generalized Policy Improvement (SF&GPI) framework has been proposed as a method for learning, composing, and transferring predictive knowledge and behavior. SF&GPI works by having an agent learn p... | [
36343
] | Train |
44,427 | 16 | Title: Unleash the Potential of 3D Point Cloud Modeling with A Calibrated Local Geometry-driven Distance Metric
Abstract: Quantifying the dissimilarity between two unstructured 3D point clouds is a challenging task, with existing metrics often relying on measuring the distance between corresponding points that can be e... | [] | Train |
44,428 | 16 | Title: Multi-Sample Consensus Driven Unsupervised Normal Estimation for 3D Point Clouds
Abstract: Deep normal estimators have made great strides on synthetic benchmarks. Unfortunately, their performance dramatically drops on the real scan data since they are supervised only on synthetic datasets. The point-wise annotat... | [] | Test |
44,429 | 15 | Title: Study on the Data Storage Technology of Mini-Airborne Radar Based on Machine Learning
Abstract: The data rate of airborne radar is much higher than the wireless data transfer rate in many detection applications, so the onboard data storage systems are usually used to store the radar data. Data storage systems wi... | [] | Train |
44,430 | 30 | Title: On the Calibration and Uncertainty with Pólya-Gamma Augmentation for Dialog Retrieval Models
Abstract: Deep neural retrieval models have amply demonstrated their power but estimating the reliability of their predictions remains challenging. Most dialog response retrieval models output a single score for a respon... | [] | Test |
44,431 | 10 | Title: Uncertainty Calibration for Counterfactual Propensity Estimation in Recommendation
Abstract: In recommendation systems, a large portion of the ratings are missing due to the selection biases, which is known as Missing Not At Random. The counterfactual inverse propensity scoring (IPS) was used to weight the imput... | [] | Test |
44,432 | 24 | Title: Iterative Partial Fulfillment of Counterfactual Explanations: Benefits and Risks
Abstract: Counterfactual (CF) explanations, also known as contrastive explanations and algorithmic recourses, are popular for explaining machine learning models in high-stakes domains. For a subject that receives a negative model pr... | [
33345
] | Train |
44,433 | 33 | Title: Complexity of Membership and Non-Emptiness Problems in Unbounded Memory Automata
Abstract: We study the complexity relationship between three models of unbounded memory automata: nu-automata ($\nu$-A), Layered Memory Automata (LaMA)and History-Register Automata (HRA). These are all extensions of finite state aut... | [] | Train |
44,434 | 30 | Title: Structured Voronoi Sampling
Abstract: Recently, there has been a growing interest in the development of gradient-based sampling algorithms for text generation, especially in the context of controlled generation. However, there exists a lack of theoretically grounded and principled approaches for this task. In th... | [
32252
] | Train |
44,435 | 6 | Title: M2LADS: A System for Generating MultiModal Learning Analytics Dashboards
Abstract: In this article, we present a Web-based System called M2LADS, which supports the integration and visualization of multimodal data recorded in learning sessions in a MOOC in the form of Web-based Dashboards. Based on the edBB platf... | [
40658,
30844
] | Test |
44,436 | 4 | Title: The Hitchhiker's Guide to Malicious Third-Party Dependencies
Abstract: The increasing popularity of certain programming languages has spurred the creation of ecosystem-specific package repositories and package managers. Such repositories (e.g., NPM, PyPI) serve as public databases that users can query to retriev... | [] | Validation |
44,437 | 16 | Title: HMDO: Markerless Multi-view Hand Manipulation Capture with Deformable Objects
Abstract: We construct the first markerless deformable interaction dataset recording interactive motions of the hands and deformable objects, called HMDO (Hand Manipulation with Deformable Objects). With our built multi-view capture sy... | [
24705
] | Test |
44,438 | 24 | Title: Weight Freezing: A Regularization Approach for Fully Connected Layers with an Application in EEG Classification
Abstract: In the realm of EEG decoding, enhancing the performance of artificial neural networks (ANNs) carries significant potential. This study introduces a novel approach, termed"weight freezing", th... | [] | Test |
44,439 | 16 | Title: OT-Net: A Reusable Neural Optimal Transport Solver
Abstract: With the widespread application of optimal transport (OT), its calculation becomes essential, and various algorithms have emerged. However, the existing methods either have low efficiency or cannot represent discontinuous maps. A novel reusable neural ... | [] | Train |
44,440 | 36 | Title: Persuading a Behavioral Agent: Approximately Best Responding and Learning
Abstract: The classic Bayesian persuasion model assumes a Bayesian and best-responding receiver. We study a relaxation of the Bayesian persuasion model where the receiver can approximately best respond to the sender's signaling scheme. We ... | [] | Train |
44,441 | 30 | Title: Do All Languages Cost the Same? Tokenization in the Era of Commercial Language Models
Abstract: Language models have graduated from being research prototypes to commercialized products offered as web APIs, and recent works have highlighted the multilingual capabilities of these products. The API vendors charge t... | [
12128,
38849,
2347,
2764,
19083,
23598,
39156,
5077,
23898,
35580,
15358
] | Train |
44,442 | 16 | Title: Fair GANs through model rebalancing with synthetic data
Abstract: Deep generative models require large amounts of training data. This often poses a problem as the collection of datasets can be expensive and difficult, in particular datasets that are representative of the appropriate underlying distribution (e.g.... | [
34068,
14133
] | Validation |
44,443 | 27 | Title: Assessment of Vehicular Vision Obstruction Due to Driver-Side B-Pillar and Remediation with Blind Spot Eliminator
Abstract: Blind spots created by the driver-side B-pillar impair the ability of the driver
to assess their surroundings accurately, significantly contributing to the
frequency and severity of vehic... | [] | Test |
44,444 | 30 | Title: Streamlining Social Media Information Retrieval for Public Health Research with Deep Learning
Abstract: The utilization of social media in epidemic surveillance has been well established. Nonetheless, bias is often introduced when pre-defined lexicons are used to retrieve relevant corpus. This study introduces a... | [
42288
] | Train |
44,445 | 30 | Title: ChatLaw: Open-Source Legal Large Language Model with Integrated External Knowledge Bases
Abstract: Large Language Models (LLMs) have shown the potential to revolutionize natural language processing tasks in various domains, sparking great interest in vertical-specific large models. However, unlike proprietary mo... | [
12192,
24706,
44162,
13700,
27140,
29894,
33477,
31218,
18227,
24308,
1270,
984,
18777,
9403,
12413,
42747
] | Train |
44,446 | 24 | Title: Towards Last-layer Retraining for Group Robustness with Fewer Annotations
Abstract: Empirical risk minimization (ERM) of neural networks is prone to over-reliance on spurious correlations and poor generalization on minority groups. The recent deep feature reweighting (DFR) technique achieves state-of-the-art gro... | [
4104
] | Train |
44,447 | 16 | Title: Single Motion Diffusion
Abstract: Synthesizing realistic animations of humans, animals, and even imaginary creatures, has long been a goal for artists and computer graphics professionals. Compared to the imaging domain, which is rich with large available datasets, the number of data instances for the motion doma... | [
10529,
38181,
34000,
26097,
38993,
37779,
15030,
36286
] | Train |
44,448 | 4 | Title: Needle in the Haystack: Analyzing the Right of Access According to GDPR Article 15 Five Years after the Implementation
Abstract: The General Data Protection Regulation (GDPR) was implemented in 2018 to strengthen and harmonize the data protection of individuals within the European Union. One key aspect is Articl... | [] | Test |
44,449 | 10 | Title: OntoMathPRO 2.0 Ontology: Updates of the Formal Model
Abstract: nan | [] | Train |
44,450 | 3 | Title: Mental Health Coping Stories on Social Media: A Causal-Inference Study of Papageno Effect
Abstract: The Papageno effect concerns how media can play a positive role in preventing and mitigating suicidal ideation and behaviors. With the increasing ubiquity and widespread use of social media, individuals often expr... | [] | Train |
44,451 | 25 | Title: Speech Intelligibility Assessment of Dysarthric Speech by using Goodness of Pronunciation with Uncertainty Quantification
Abstract: This paper proposes an improved Goodness of Pronunciation (GoP) that utilizes Uncertainty Quantification (UQ) for automatic speech intelligibility assessment for dysarthric speech. ... | [] | Train |
44,452 | 23 | Title: Can Large Language Models Find And Fix Vulnerable Software?
Abstract: In this study, we evaluated the capability of Large Language Models (LLMs), particularly OpenAI's GPT-4, in detecting software vulnerabilities, comparing their performance against traditional static code analyzers like Snyk and Fortify. Our an... | [
19970,
29956,
33220,
9542,
11305,
15852,
3181,
9038,
16917,
20892,
2845
] | Train |
44,453 | 33 | Title: Matching Patterns with Variables Under Simon's Congruence
Abstract: We introduce and investigate a series of matching problems for patterns with variables under Simon's congruence. Our results provide a thorough picture of these problems' computational complexity. | [
10722,
24396
] | Train |
44,454 | 28 | Title: Age of Incorrect Information in Random Access Channels without Feedback
Abstract: We focus on a system in which a set of two-state Markov sources report status update to a common receiver over a shared wireless channel. Inspired by practical IoT networks, we consider three variations of ALOHA as medium access pr... | [
28953,
37771,
16575
] | Train |
44,455 | 8 | Title: Adaptive beamforming for optical wireless communication via fiber modal control
Abstract: High-speed optical wireless communication can address the exponential growth in data traffic. Adaptive beamforming customized for the target location is crucial, but existing solutions such as liquidcrystal spatial light mo... | [] | Train |
44,456 | 24 | Title: MARLIM: Multi-Agent Reinforcement Learning for Inventory Management
Abstract: Maintaining a balance between the supply and demand of products by optimizing replenishment decisions is one of the most important challenges in the supply chain industry. This paper presents a novel reinforcement learning framework ca... | [] | Train |
44,457 | 5 | Title: Bike Assisted Evacuation on a Line of Robots with Communication Faults
Abstract: Two autonomous mobile robots and a non-autonomous one, also called bike, are placed at the origin of an infinite line. The autonomous robots can travel with maximum speed $1$. When a robot rides the bike its speed increases to $v>1$... | [] | Train |
44,458 | 16 | Title: Robust retrieval of material chemical states in X-ray microspectroscopy
Abstract: X-ray microspectroscopic techniques are essential for studying morphological and chemical changes in materials, providing high-resolution structural and spectroscopic information. However, its practical data analysis for reliably r... | [] | Train |
44,459 | 16 | Title: MLANet: Multi-Level Attention Network with Sub-instruction for Continuous Vision-and-Language Navigation
Abstract: Vision-and-Language Navigation (VLN) aims to develop intelligent agents to navigate in unseen environments only through language and vision supervision. In the recently proposed continuous settings ... | [
8622
] | Train |
44,460 | 28 | Title: Alamouti-Like Transmission Schemes in Distributed MIMO Networks
Abstract: The purpose of the study is to investigate potential benefits of using Alamouti-like orthogonal space-time-frequency block codes (STFBC) in distributed multiple-input multiple-output (D-MIMO) systems to increase the diversity at the UE sid... | [] | Test |
44,461 | 30 | Title: Synthetic Cross-accent Data Augmentation for Automatic Speech Recognition
Abstract: The awareness for biased ASR datasets or models has increased notably in recent years. Even for English, despite a vast amount of available training data, systems perform worse for non-native speakers. In this work, we improve an... | [] | Train |
44,462 | 16 | Title: Towards Writer Retrieval for Historical Datasets
Abstract: nan | [] | Train |
44,463 | 16 | Title: The IMPTC Dataset: An Infrastructural Multi-Person Trajectory and Context Dataset
Abstract: Inner-city intersections are among the most critical traffic areas for injury and fatal accidents. Automated vehicles struggle with the complex and hectic everyday life within those areas. Sensor-equipped smart infrastruc... | [] | Train |
44,464 | 27 | Title: V2V-based Collision-avoidance Decision Strategy for Autonomous Vehicles Interacting with Fully Occluded Pedestrians at Midblock on Multilane Roadways
Abstract: Pedestrian occlusion is challenging for autonomous vehicles (AVs) at midblock locations on multilane roadways because an AV cannot detect crossing pedest... | [] | Train |
44,465 | 28 | Title: Shaping a Smarter Electromagnetic Landscape: An Overview of IAB, NCR, and RIS in 5G Standardization and Beyond
Abstract: The main objective of 5G and beyond networks is to provide an optimal user experience in terms of throughput and reliability, irrespective of location and time. To achieve this, traditional fi... | [
30114
] | Test |
44,466 | 16 | Title: X-Avatar: Expressive Human Avatars
Abstract: We present X-Avatar, a novel avatar model that captures the full expressiveness of digital humans to bring about life-like experiences in telepresence, AR/VR and beyond. Our method models bodies, hands, facial expressions and appearance in a holistic fashion and can b... | [
3747
] | Train |
44,467 | 24 | Title: Uncertainty-Aware Vehicle Energy Efficiency Prediction Using an Ensemble of Neural Networks
Abstract: The transportation sector accounts for about 25% of global greenhouse gas emissions. Therefore, an improvement of energy efficiency in the traffic sector is crucial to reduce the carbon footprint. Efficiency is ... | [] | Train |
44,468 | 3 | Title: Goal oriented indicators for food systems based on FAIR data
Abstract: Throughout the food supply chain, between production, transportation, packaging, and green employment, a plethora of indicators cover the environmental footprint and resource use. By defining and tracking the more inefficient practices of the... | [] | Train |
44,469 | 36 | Title: Dynamic generation and attribution of revenues in a video platform
Abstract: The consumption of online videos on the Internet grows every year, making it a market that increasingly generates a greater volume of income. This paper deals with a problem of great interest in this context: the allocation of the gener... | [] | Train |
44,470 | 6 | Title: Parachute: Evaluating Interactive Human-LM Co-writing Systems
Abstract: A surge of advances in language models (LMs) has led to significant interest in using LMs to build co-writing systems, in which humans and LMs interactively contribute to a shared writing artifact. However, there is a lack of studies assessi... | [] | Validation |
44,471 | 31 | Title: Integrating Commercial and Social Determinants of Health: A Unified Ontology for Non-Clinical Determinants of Health
Abstract: The objectives of this research are 1) to develop an ontology for CDoH by utilizing PubMed articles and ChatGPT; 2) to foster ontology reuse by integrating CDoH with an existing SDoH ont... | [] | Validation |
44,472 | 24 | Title: Feature Space Sketching for Logistic Regression
Abstract: We present novel bounds for coreset construction, feature selection, and dimensionality reduction for logistic regression. All three approaches can be thought of as sketching the logistic regression inputs. On the coreset construction front, we resolve op... | [] | Train |
44,473 | 30 | Title: PRESTO: A Multilingual Dataset for Parsing Realistic Task-Oriented Dialogs
Abstract: Research interest in task-oriented dialogs has increased as systems such as Google Assistant, Alexa and Siri have become ubiquitous in everyday life. However, the impact of academic research in this area has been limited by the ... | [
38904,
39948
] | Train |
44,474 | 16 | Title: SegPrompt: Using Segmentation Map as a Better Prompt to Finetune Deep Models for Kidney Stone Classification
Abstract: Recently, deep learning has produced encouraging results for kidney stone classification using endoscope images. However, the shortage of annotated training data poses a severe problem in improv... | [
29929,
5454
] | Train |
44,475 | 28 | Title: Kolam Simulation using Angles at Lattice Points
Abstract: Kolam is a ritual art form practised by people in South India and consists of rule-bound geometric patterns of dots and lines. Single loop Kolams are mathematical closed loop patterns drawn over a grid of dots and conforming to certain heuristics. In this... | [] | Train |
44,476 | 24 | Title: Rethinking the Effect of Data Augmentation in Adversarial Contrastive Learning
Abstract: Recent works have shown that self-supervised learning can achieve remarkable robustness when integrated with adversarial training (AT). However, the robustness gap between supervised AT (sup-AT) and self-supervised AT (self-... | [
13858,
5508
] | Train |
44,477 | 13 | Title: Towards Zero Memory Footprint Spiking Neural Network Training
Abstract: Biologically-inspired Spiking Neural Networks (SNNs), processing information using discrete-time events known as spikes rather than continuous values, have garnered significant attention due to their hardware-friendly and energy-efficient ch... | [
13513,
11884,
37372
] | Train |
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