node_id int64 0 76.9k | label int64 0 39 | text stringlengths 13 124k | neighbors listlengths 0 3.32k | mask stringclasses 4
values |
|---|---|---|---|---|
41,578 | 16 | Title: Rethinking the Backward Propagation for Adversarial Transferability
Abstract: Transfer-based attacks generate adversarial examples on the surrogate model, which can mislead other black-box models without any access, making it promising to attack real-world applications. Recently, several works have been proposed... | [
30440,
41762,
35284
] | Train |
41,579 | 30 | Title: A Comprehensive Review of State-of-The-Art Methods for Java Code Generation from Natural Language Text
Abstract: nan | [
33220,
13700,
30676,
18550,
35255,
13564
] | Train |
41,580 | 15 | Title: ULEEN: A Novel Architecture for Ultra Low-Energy Edge Neural Networks
Abstract: The deployment of AI models on low-power, real-time edge devices requires accelerators for which energy, latency, and area are all first-order concerns. There are many approaches to enabling deep neural networks (DNNs) in this domain... | [] | Validation |
41,581 | 5 | Title: Just-in-Time autotuning
Abstract: Performance portability is a major concern on current architectures. One way to achieve it is by using autotuning. In this paper, we are presenting how we exten ded a just-in-time compilation infrastructure to introduce autotuning capabiliti es triggered at run-time. When a func... | [] | Validation |
41,582 | 16 | Title: Laplacian Segmentation Networks: Improved Epistemic Uncertainty from Spatial Aleatoric Uncertainty
Abstract: Out of distribution (OOD) medical images are frequently encountered, e.g. because of site- or scanner differences, or image corruption. OOD images come with a risk of incorrect image segmentation, potenti... | [] | Train |
41,583 | 16 | Title: A Central Asian Food Dataset for Personalized Dietary Interventions
Abstract: Nowadays, it is common for people to take photographs of every beverage, snack, or meal they eat and then post these photographs on social media platforms. Leveraging these social trends, real-time food recognition and reliable classif... | [] | Train |
41,584 | 5 | Title: EdgeMatrix: A Resource-Redefined Scheduling Framework for SLA-Guaranteed Multi-Tier Edge-Cloud Computing Systems
Abstract: With the development of networking technology, the computing system has evolved towards the multi-tier paradigm gradually. However, challenges, such as multi-resource heterogeneity of device... | [
12888,
30925
] | Train |
41,585 | 16 | Title: Raspberry Pi Bee Health Monitoring Device
Abstract: A declining honeybee population could pose a threat to a food resources of the whole world one of the latest trend in beekeeping is an effort to monitor a health of the honeybees using various sensors and devices. This paper participates on a development on one... | [] | Train |
41,586 | 27 | Title: Mono-STAR: Mono-Camera Scene-Level Tracking and Reconstruction
Abstract: We present Mono-STAR, the first real-time 3D reconstruction system that simultaneously supports semantic fusion, fast motion tracking, non-rigid object deformation, and topological change under a unified framework. The proposed system solve... | [] | Train |
41,587 | 24 | Title: Faster Training of Diffusion Models and Improved Density Estimation via Parallel Score Matching
Abstract: In Diffusion Probabilistic Models (DPMs), the task of modeling the score evolution via a single time-dependent neural network necessitates extended training periods and may potentially impede modeling flexib... | [] | Train |
41,588 | 10 | Title: Adaptive questionnaires for facilitating patient data entry in clinical decision support systems: Methods and application to STOPP/START v2
Abstract: Clinical decision support systems are software tools that help clinicians to make medical decisions. However, their acceptance by clinicians is usually rather low.... | [] | Validation |
41,589 | 16 | Title: SCP: Spherical-Coordinate-based Learned Point Cloud Compression
Abstract: In recent years, the task of learned point cloud compression has gained prominence. An important type of point cloud, the spinning LiDAR point cloud, is generated by spinning LiDAR on vehicles. This process results in numerous circular sha... | [] | Train |
41,590 | 16 | Title: OOD-CV-v2: An extended Benchmark for Robustness to Out-of-Distribution Shifts of Individual Nuisances in Natural Images
Abstract: Enhancing the robustness of vision algorithms in real-world scenarios is challenging. One reason is that existing robustness benchmarks are limited, as they either rely on synthetic d... | [
11332
] | Validation |
41,591 | 34 | Title: Linear Space Data Structures for Finite Groups with Constant Query-Time
Abstract: A finite group of order $n$ can be represented by its Cayley table. In the word-RAM model the Cayley table of a group of order $n$ can be stored using $O(n^2)$ words and can be used to answer a multiplication query in constant time... | [] | Test |
41,592 | 32 | Title: Towards a Benchmark Framework for Model Order Reduction in the Mathematical Research Data Initiative (MaRDI)
Abstract: The race for the most efficient, accurate, and universal algorithm in scientific computing drives innovation. At the same time, this healthy competition is only beneficial if the research output... | [] | Train |
41,593 | 30 | Title: Thematic context vector association based on event uncertainty for Twitter
Abstract: Keyword extraction is a crucial process in text mining. The extraction of keywords with respective contextual events in Twitter data is a big challenge. The challenging issues are mainly because of the informality in the languag... | [] | Validation |
41,594 | 4 | Title: SoK: Design, Vulnerabilities, and Security Measures of Cryptocurrency Wallets
Abstract: The rapid growth of decentralized digital currencies, enabled by blockchain technology, has ushered in a new era of peer-to-peer transactions, revolutionizing the global economy. Cryptocurrency wallets, serving as crucial end... | [
41120,
28897,
31957
] | Validation |
41,595 | 16 | Title: Knowledge Transfer-Driven Few-Shot Class-Incremental Learning
Abstract: Few-shot class-incremental learning (FSCIL) aims to continually learn new classes using a few samples while not forgetting the old classes. The key of this task is effective knowledge transfer from the base session to the incremental session... | [
9423
] | Validation |
41,596 | 16 | Title: AMD: Adaptive Masked Distillation for Object Detection
Abstract: As a general model compression paradigm, feature-based knowledge distillation allows the student model to learn expressive features from the teacher counterpart. In this paper, we mainly focus on designing an effective feature-distillation framewor... | [
21155
] | Train |
41,597 | 30 | Title: A Question-Answering Approach to Key Value Pair Extraction from Form-like Document Images
Abstract: In this paper, we present a new question-answering (QA) based key-value pair extraction approach, called KVPFormer, to robustly extracting key-value relationships between entities from form-like document images. S... | [
38972
] | Train |
41,598 | 31 | Title: Context-Aware Service Recommendation System for the Social Internet of Things
Abstract: The Social Internet of Things (SIoT) enables interconnected smart devices to share data and services, opening up opportunities for personalized service recommendations. However, existing research often overlooks crucial aspec... | [
11941
] | Validation |
41,599 | 3 | Title: Towards social generative AI for education: theory, practices and ethics
Abstract: This paper explores educational interactions involving humans and artificial intelligences not as sequences of prompts and responses, but as a social process of conversation and exploration. In this conception, learners continuall... | [] | Train |
41,600 | 6 | Title: Online Harassment in Majority Contexts: Examining Harms and Remedies across Countries
Abstract: Online harassment is a global problem. This article examines perceptions of harm and preferences for remedies associated with online harassment with nearly 4000 participants in 14 countries around the world. The count... | [
30240
] | Train |
41,601 | 16 | Title: FewSAR: A Few-shot SAR Image Classification Benchmark
Abstract: Few-shot learning (FSL) is one of the significant and hard problems in the field of image classification. However, in contrast to the rapid development of the visible light dataset, the progress in SAR target image classification is much slower. The... | [] | Validation |
41,602 | 37 | Title: Less is More: Towards Lightweight Cost Estimator for Database Systems
Abstract: We present FasCo, a simple yet effective learning-based estimator for the cost of executing a database query plan. FasCo uses significantly shorter training time and a lower inference cost than the state-of-the-art approaches, while ... | [] | Test |
41,603 | 27 | Title: Safe Networked Robotics with Probabilistic Verification
Abstract: Autonomous robots must utilize rich sensory data to make safe control decisions. To process this data, compute-constrained robots often require assistance from remote computation, or the cloud, that runs compute-intensive deep neural network perce... | [
17520
] | Validation |
41,604 | 23 | Title: PExReport: Automatic Creation of Pruned Executable Cross-Project Failure Reports
Abstract: Modern software development extensively depends on existing libraries written by other developer teams from the same or a different organization. When a developer executes the software, the execution trace may go across th... | [] | Train |
41,605 | 24 | Title: A testing-based approach to assess the clusterability of categorical data
Abstract: The objective of clusterability evaluation is to check whether a clustering structure exists within the data set. As a crucial yet often-overlooked issue in cluster analysis, it is essential to conduct such a test before applying... | [] | Test |
41,606 | 24 | Title: Adversarially Robust Neural Architecture Search for Graph Neural Networks
Abstract: Graph Neural Networks (GNNs) obtain tremendous success in modeling relational data. Still, they are prone to adversarial attacks, which are massive threats to applying GNNs to risk-sensitive domains. Existing defensive methods ne... | [
21790
] | Train |
41,607 | 28 | Title: Transmission Design for Active RIS-Aided Simultaneous Wireless Information and Power Transfer
Abstract: Reconfigurable intelligent surface (RIS) is a revolutionary technology to enhance both the spectral efficiency and energy efficiency of wireless communication systems. However, most of the existing contributio... | [
34586,
964,
10797
] | Train |
41,608 | 39 | Title: Dynamic discretization discovery under hard node storage constraints
Abstract: The recently developed dynamic discretization discovery (DDD) is a powerful method that allows many time-dependent problems to become more tractable. While DDD has been applied to a variety of problems, one particular challenge has be... | [
42203
] | Train |
41,609 | 30 | Title: Prompt2Gaussia: Uncertain Prompt-learning for Script Event Prediction
Abstract: Script Event Prediction (SEP) aims to predict the subsequent event for a given event chain from a candidate list. Prior research has achieved great success by integrating external knowledge to enhance the semantics, but it is laborio... | [] | Test |
41,610 | 27 | Title: Interactive Car-Following: Matters but NOT Always
Abstract: Following a leading vehicle is a daily but challenging task because it requires adapting to various traffic conditions and the leading vehicle's behaviors. However, the question `Does the following vehicle always actively react to the leading vehicle?' ... | [] | Test |
41,611 | 24 | Title: Causal Deep Learning
Abstract: Causality has the potential to truly transform the way we solve a large number of real-world problems. Yet, so far, its potential remains largely unlocked since most work so far requires strict assumptions which do not hold true in practice. To address this challenge and make progr... | [
24139,
15787
] | Validation |
41,612 | 34 | Title: Abstract Orientable Incidence Structure and Algorithms for Finite Bounded Acyclic Categories. II. Data Structure and Fundamental Operations
Abstract: A data structure for finite bounded acyclic categories has been built, which is useful to encode and manipulate abstract orientable incidence structure. It can be ... | [] | Train |
41,613 | 4 | Title: Incentive Attacks on DAG-Based Blockchains with Random Transaction Selection
Abstract: Several blockchain consensus protocols proposed to use of Directed Acyclic Graphs (DAGs) to solve the limited processing throughput of traditional single-chain Proof-of-Work (PoW) blockchains. Many such protocols utilize a ran... | [] | Test |
41,614 | 16 | Title: Dynamic Mobile-Former: Strengthening Dynamic Convolution with Attention and Residual Connection in Kernel Space
Abstract: We introduce Dynamic Mobile-Former(DMF), maximizes the capabilities of dynamic convolution by harmonizing it with efficient operators.Our Dynamic MobileFormer effectively utilizes the advanta... | [
29873,
8594,
23367
] | Test |
41,615 | 28 | Title: Non-Binary LDPC Code Design for Energy-Time Entanglement Quantum Key Distribution
Abstract: In energy-time entanglement Quantum Key Distribution (QKD), two users extract a shared secret key from the arrival times (discretized as symbols) of entangled photon pairs. In prior work, Zhou et al. proposed a multi-leve... | [] | Train |
41,616 | 4 | Title: False Claims against Model Ownership Resolution
Abstract: Deep neural network (DNN) models are valuable intellectual property of model owners, constituting a competitive advantage. Therefore, it is crucial to develop techniques to protect against model theft. Model ownership resolution (MOR) is a class of techni... | [
43081,
2897,
12787,
36499
] | Validation |
41,617 | 16 | Title: Is Attentional Channel Processing Design Required? Comprehensive Analysis Of Robustness Between Vision Transformers And Fully Attentional Networks
Abstract: The robustness testing has been performed for standard CNN models and Vision Transformers, however there is a lack of comprehensive study between the robust... | [] | Train |
41,618 | 9 | Title: Complexity results for the Pilot Assignment problem in Cell-Free Massive MIMO
Abstract: Wireless communication is enabling billions of people to connect to each other and the internet, transforming every sector of the economy, and building the foundations for powerful new technologies that hold great promise to ... | [] | Train |
41,619 | 30 | Title: Bactrian-X : A Multilingual Replicable Instruction-Following Model with Low-Rank Adaptation
Abstract: Instruction tuning has shown great promise in the field of natural language processing. However, the research on multilingual instruction tuning has been limited due to the scarcity of high-quality instruction-r... | [
514,
33220,
10598,
41318,
13844,
39061,
9910,
41782,
27902
] | Train |
41,620 | 24 | Title: Scaling Pareto-Efficient Decision Making Via Offline Multi-Objective RL
Abstract: The goal of multi-objective reinforcement learning (MORL) is to learn policies that simultaneously optimize multiple competing objectives. In practice, an agent's preferences over the objectives may not be known apriori, and hence,... | [
13640,
15424,
23307
] | Validation |
41,621 | 16 | Title: Focus on Your Target: A Dual Teacher-Student Framework for Domain-adaptive Semantic Segmentation
Abstract: We study unsupervised domain adaptation (UDA) for semantic segmentation. Currently, a popular UDA framework lies in self-training which endows the model with two-fold abilities: (i) learning reliable semant... | [] | Train |
41,622 | 10 | Title: DOLCE: A descriptive ontology for linguistic and cognitive engineering
Abstract: dolce, the first top-level (foundational) ontology to be axiomatized, has remained stable for twenty years and today is broadly used in a variety of domains. dolce is inspired by cognitive and linguistic considerations and aims to m... | [
15859
] | Test |
41,623 | 11 | Title: Exploration of unknown indoor regions by a swarm of energy-constrained drones
Abstract: Several distributed algorithms are presented for the exploration of unknown indoor regions by a swarm of flying, energy constrained agents. The agents, which are identical, autonomous, anonymous and oblivious, uniformly cover... | [] | Validation |
41,624 | 27 | Title: RGB-D-Inertial SLAM in Indoor Dynamic Environments with Long-term Large Occlusion
Abstract: This work presents a novel RGB-D-inertial dynamic SLAM method that can enable accurate localisation when the majority of the camera view is occluded by multiple dynamic objects over a long period of time. Most dynamic SLA... | [
29786
] | Test |
41,625 | 32 | Title: A FAIR File Format for Mathematical Software
Abstract: We describe a generic JSON based file format which is suitable for computations in computer algebra. This is implemented in the computer algebra system OSCAR, but we also indicate how it can be used in a different context. | [] | Train |
41,626 | 30 | Title: Controlling Personality Style in Dialogue with Zero-Shot Prompt-Based Learning
Abstract: Prompt-based or in-context learning has achieved high zero-shot performance on many natural language generation (NLG) tasks. Here we explore the performance of prompt-based learning for simultaneously controlling the persona... | [] | Train |
41,627 | 24 | Title: Automated Sizing and Training of Efficient Deep Autoencoders using Second Order Algorithms
Abstract: We propose a multi-step training method for designing generalized linear classifiers. First, an initial multi-class linear classifier is found through regression. Then validation error is minimized by pruning of ... | [] | Validation |
41,628 | 16 | Title: Spectrum-guided Multi-granularity Referring Video Object Segmentation
Abstract: Current referring video object segmentation (R-VOS) techniques extract conditional kernels from encoded (low-resolution) vision-language features to segment the decoded high-resolution features. We discovered that this causes signifi... | [
25222
] | Train |
41,629 | 23 | Title: Robust web element identification for evolving applications by considering visual overlaps
Abstract: Fragile (i.e., non-robust) test execution is a common challenge for automated GUI-based testing of web applications as they evolve. Despite recent progress, there is still room for improvement since test executio... | [] | Train |
41,630 | 6 | Title: Where does a computer vision model make mistakes? Using interactive visualizations to find where and how CV models can improve
Abstract: Creating Computer Vision (CV) models remains a complex and taxing practice for end-users to build, inspect, and improve these models. Interactive ML perspectives have helped ad... | [] | Train |
41,631 | 6 | Title: Help the Blind See: Assistance for the Visually Impaired through Augmented Acoustic Simulation
Abstract: An estimated 253 million people have visual impairments. These visual impairments affect everyday lives, and limit their understanding of the outside world. This can pose a risk to health from falling or coll... | [] | Test |
41,632 | 16 | Title: Training-Free Neural Matte Extraction for Visual Effects
Abstract: Alpha matting is widely used in video conferencing as well as in movies, television, and social media sites. Deep learning approaches to the matte extraction problem are well suited to video conferencing due to the consistent subject matter (fron... | [] | Test |
41,633 | 5 | Title: Asynchronous Wait-Free Runtime Verification and Enforcement of Linearizability
Abstract: This paper studies the problem of verifying linearizability at runtime, where one seeks for a concurrent algorithm for verifying that the current execution of a given concurrent shared object implementation is linearizable. ... | [
2956
] | Train |
41,634 | 16 | Title: Fusion-GRU: A Deep Learning Model for Future Bounding Box Prediction of Traffic Agents in Risky Driving Videos
Abstract: To ensure the safe and efficient navigation of autonomous vehicles and advanced driving assistance systems in complex traffic scenarios, predicting the future bounding boxes of surrounding tra... | [] | Train |
41,635 | 24 | Title: Asynchronous Federated Learning with Bidirectional Quantized Communications and Buffered Aggregation
Abstract: Asynchronous Federated Learning with Buffered Aggregation (FedBuff) is a state-of-the-art algorithm known for its efficiency and high scalability. However, it has a high communication cost, which has no... | [
5239
] | Train |
41,636 | 23 | Title: An Empirical Investigation into the Use of Image Captioning for Automated Software Documentation
Abstract: Existing automated techniques for software documentation typically attempt to reason between two main sources of information: code and natural language. However, this reasoning process is often complicated ... | [
20105,
19469
] | Train |
41,637 | 16 | Title: MATLABER: Material-Aware Text-to-3D via LAtent BRDF auto-EncodeR
Abstract: Based on powerful text-to-image diffusion models, text-to-3D generation has made significant progress in generating compelling geometry and appearance. However, existing methods still struggle to recover high-fidelity object materials, ei... | [
37692
] | Validation |
41,638 | 3 | Title: The Amplification Paradox in Recommender Systems
Abstract: Automated audits of recommender systems found that blindly following recommendations leads users to increasingly partisan, conspiratorial, or false content. At the same time, studies using real user traces suggest that recommender systems are not the pri... | [
39778
] | Validation |
41,639 | 23 | Title: Automated Self-Admitted Technical Debt Tracking at Commit-Level: A Language-independent Approach
Abstract: Software and systems traceability is essential for downstream tasks such as data-driven software analysis and intelligent tool development. However, despite the increasing attention to mining and understand... | [] | Validation |
41,640 | 16 | Title: Renderers are Good Zero-Shot Representation Learners: Exploring Diffusion Latents for Metric Learning
Abstract: Can the latent spaces of modern generative neural rendering models serve as representations for 3D-aware discriminative visual understanding tasks? We use retrieval as a proxy for measuring the metric ... | [
42666,
14842,
38739
] | Test |
41,641 | 16 | Title: Sparse Mixture Once-for-all Adversarial Training for Efficient In-Situ Trade-Off Between Accuracy and Robustness of DNNs
Abstract: Existing deep neural networks (DNNs) that achieve state-of-the-art (SOTA) performance on both clean and adversarially-perturbed images rely on either activation or weight conditioned... | [
14176
] | Validation |
41,642 | 6 | Title: Maestro: A Gamified Platform for Teaching AI Robustness
Abstract: Although the prevention of AI vulnerabilities is critical to preserve the safety and privacy of users and businesses, educational tools for robust AI are still underdeveloped worldwide. We present the design, implementation, and assessment of Maes... | [] | Train |
41,643 | 30 | Title: Advancing Hungarian Text Processing with HuSpaCy: Efficient and Accurate NLP Pipelines
Abstract: nan | [] | Validation |
41,644 | 24 | Title: Managed Geo-Distributed Feature Store: Architecture and System Design
Abstract: Companies are using machine learning to solve real-world problems and are developing hundreds to thousands of features in the process. They are building feature engineering pipelines as part of MLOps life cycle to transform data from... | [] | Train |
41,645 | 20 | Title: On k-means for segments and polylines
Abstract: We study the problem of $k$-means clustering in the space of straight-line segments in $\mathbb{R}^{2}$ under the Hausdorff distance. For this problem, we give a $(1+\epsilon)$-approximation algorithm that, for an input of $n$ segments, for any fixed $k$, and with ... | [] | Validation |
41,646 | 6 | Title: LeanAI: A method for AEC practitioners to effectively plan AI implementations
Abstract: Recent developments in Artificial Intelligence (AI) provide unprecedented automation opportunities in the Architecture, Engineering, and Construction (AEC) industry. However, despite the enthusiasm regarding the use of AI, 85... | [] | Train |
41,647 | 28 | Title: Optimal Geometries of Dual-Polarized Arrays for Large Point-to-Point MIMO Channels
Abstract: Traditional point-to-point line-of-sight channels have rank 1, irrespective of the number of antennas and array geometries, due to far-field propagation conditions. By contrast, recent papers in the holographic multiple-... | [] | Train |
41,648 | 6 | Title: Large Music Recommendation Studies for Small Teams
Abstract: Running live music recommendation studies without di-rect industry partnerships can be a prohibitively daunting task, especially for small teams. In order to help future researchers interested in such evaluations, we present a number of struggles we fa... | [] | Test |
41,649 | 24 | Title: Transformer-based Planning for Symbolic Regression
Abstract: Symbolic regression (SR) is a challenging task in machine learning that involves finding a mathematical expression for a function based on its values. Recent advancements in SR have demonstrated the effectiveness of pretrained transformer-based models ... | [
24365,
36719
] | Train |
41,650 | 10 | Title: Depth-bounded epistemic logic
Abstract: Epistemic logics model how agents reason about their beliefs and the beliefs of other agents. Existing logics typically assume the ability of agents to reason perfectly about propositions of unbounded modal depth. We present DBEL, an extension of S5 that models agents that... | [] | Train |
41,651 | 25 | Title: LightGrad: Lightweight Diffusion Probabilistic Model for Text-to-Speech
Abstract: Recent advances in neural text-to-speech (TTS) models bring thousands of TTS applications into daily life, where models are deployed in cloud to provide services for customs. Among these models are diffusion probabilistic models (D... | [
6546
] | Train |
41,652 | 24 | Title: Explaining Full-disk Deep Learning Model for Solar Flare Prediction using Attribution Methods
Abstract: This paper contributes to the growing body of research on deep learning methods for solar flare prediction, primarily focusing on highly overlooked near-limb flares and utilizing the attribution methods to pro... | [
19187,
32679
] | Validation |
41,653 | 30 | Title: Large Multilingual Models Pivot Zero-Shot Multimodal Learning across Languages
Abstract: Recently there has been a significant surge in multimodal learning in terms of both image-to-text and text-to-image generation. However, the success is typically limited to English, leaving other languages largely behind. Bu... | [
10624,
37987,
13700,
33220,
45477,
8903,
41104,
28532,
9014,
10332,
8509
] | Train |
41,654 | 16 | Title: Diffusion Model as Representation Learner
Abstract: Diffusion Probabilistic Models (DPMs) have recently demonstrated impressive results on various generative tasks.Despite its promises, the learned representations of pre-trained DPMs, however, have not been fully understood. In this paper, we conduct an in-depth... | [
16833,
40164,
37254,
10056,
5610,
13646,
30638,
13525,
27477,
37175,
34074,
4220,
12541
] | Train |
41,655 | 27 | Title: Learning to Recharge: UAV Coverage Path Planning through Deep Reinforcement Learning
Abstract: Coverage path planning (CPP) is a critical problem in robotics, where the goal is to find an efficient path that covers every point in an area of interest. This work addresses the power-constrained CPP problem with rec... | [
29814
] | Train |
41,656 | 24 | Title: Variational Disentangled Graph Auto-Encoders for Link Prediction
Abstract: With the explosion of graph-structured data, link prediction has emerged as an increasingly important task. Embedding methods for link prediction utilize neural networks to generate node embeddings, which are subsequently employed to pred... | [
37554
] | Validation |
41,657 | 24 | Title: A Linear Reconstruction Approach for Attribute Inference Attacks against Synthetic Data
Abstract: Recent advances in synthetic data generation (SDG) have been hailed as a solution to the difficult problem of sharing sensitive data while protecting privacy. SDG aims to learn statistical properties of real data in... | [
32928,
10947,
11301,
22674,
28819,
43508
] | Train |
41,658 | 16 | Title: Fusing Hand and Body Skeletons for Human Action Recognition in Assembly
Abstract: As collaborative robots (cobots) continue to gain popularity in industrial manufacturing, effective human-robot collaboration becomes crucial. Cobots should be able to recognize human actions to assist with assembly tasks and act a... | [
11755,
7997
] | Train |
41,659 | 22 | Title: Rely-Guarantee Reasoning for Causally Consistent Shared Memory (Extended Version)
Abstract: Rely-guarantee (RG) is a highly influential compositional proof technique for concurrent programs, which was originally developed assuming a sequentially consistent shared memory. In this paper, we first generalize RG to ... | [
23414
] | Test |
41,660 | 23 | Title: Maat: Performance Metric Anomaly Anticipation for Cloud Services with Conditional Diffusion
Abstract: Ensuring the reliability and user satisfaction of cloud services necessitates prompt anomaly detection followed by diagnosis. Existing techniques for anomaly detection focus solely on real-time detection, meanin... | [
14986,
166
] | Train |
41,661 | 30 | Title: Learning Easily Updated General Purpose Text Representations with Adaptable Task-Specific Prefixes
Abstract: Many real-world applications require making multiple predictions from the same text. Fine-tuning a large pre-trained language model for each downstream task causes computational burdens in the inference t... | [] | Test |
41,662 | 16 | Title: Neighborhood Attention Makes the Encoder of ResUNet Stronger for Accurate Road Extraction
Abstract: In the domain of remote sensing image interpretation, road extraction from high-resolution aerial imagery has already been a hot research topic. Although deep CNNs have presented excellent results for semantic seg... | [] | Train |
41,663 | 28 | Title: On the Performance Tradeoff of an ISAC System with Finite Blocklength
Abstract: Integrated sensing and communication (ISAC) has been proposed as a promising paradigm in the future wireless networks, where the spectral and hardware resources are shared to provide a considerable performance gain. It is essential t... | [] | Train |
41,664 | 16 | Title: Faster OreFSDet : A Lightweight and Effective Few-shot Object Detector for Ore Images
Abstract: nan | [] | Test |
41,665 | 24 | Title: Optimizing the Collaboration Structure in Cross-Silo Federated Learning
Abstract: In federated learning (FL), multiple clients collaborate to train machine learning models together while keeping their data decentralized. Through utilizing more training data, FL suffers from the potential negative transfer proble... | [
13848,
39483
] | Test |
41,666 | 6 | Title: Indoor Localization using Bluetooth and Inertial Motion Sensors in Distributed Edge and Cloud Computing Environment
Abstract: Spatial navigation of indoor space usage patterns reveals important cues about the cognitive health of individuals. In this work, we present a low-cost, scalable, open-source edge computi... | [
29942
] | Test |
41,667 | 30 | Title: q2d: Turning Questions into Dialogs to Teach Models How to Search
Abstract: One of the exciting capabilities of recent language models for dialog is their ability to independently search for relevant information to ground a given dialog response. However, obtaining training data to teach models how to issue sear... | [
26833
] | Validation |
41,668 | 16 | Title: Leveraging Uncertainty Quantification for Picking Robust First Break Times
Abstract: In seismic exploration, the selection of first break times is a crucial aspect in the determination of subsurface velocity models, which in turn significantly influences the placement of wells. Many deep neural network (DNN)-bas... | [] | Validation |
41,669 | 28 | Title: Indirect Rate Distortion Functions with f-Separable Distortion Criterion
Abstract: We consider a remote source coding problem subject to a distortion function. Contrary to the use of the classical separable distortion criterion, herein we consider the more general, f-separable distortion measure and study its im... | [] | Train |
41,670 | 30 | Title: Transfer and Active Learning for Dissonance Detection: Addressing the Rare-Class Challenge
Abstract: While transformer-based systems have enabled greater accuracies with fewer training examples, data acquisition obstacles still persist for rare-class tasks – when the class label is very infrequent (e.g. < 5% of ... | [] | Validation |
41,671 | 4 | Title: L4 Pointer: An efficient pointer extension for spatial memory safety support without hardware extension
Abstract: Since buffer overflow has long been a frequently occurring, high-risk vulnerability, various methods have been developed to support spatial memory safety and prevent buffer overflow. However, every p... | [] | Validation |
41,672 | 16 | Title: ARF-Plus: Controlling Perceptual Factors in Artistic Radiance Fields for 3D Scene Stylization
Abstract: The radiance fields style transfer is an emerging field that has recently gained popularity as a means of 3D scene stylization, thanks to the outstanding performance of neural radiance fields in 3D reconstruct... | [] | Validation |
41,673 | 16 | Title: Generative Modeling through the Semi-dual Formulation of Unbalanced Optimal Transport
Abstract: Optimal Transport (OT) problem investigates a transport map that bridges two distributions while minimizing a given cost function. In this regard, OT between tractable prior distribution and data has been utilized for... | [
25265,
37785
] | Test |
41,674 | 36 | Title: Stackelberg Attacks or: How I Learned to Stop Worrying and Trust the Blockchain
Abstract: We identify a subtle security issue that impacts the design of smart contracts caused by the fact that agents may themselves deploy smart contracts. Typically, equilibria of games are analyzed in vitro, under the assumption... | [
37244
] | Train |
41,675 | 24 | Title: Lumos: Heterogeneity-aware Federated Graph Learning over Decentralized Devices
Abstract: Graph neural networks (GNN) have been widely deployed in real-world networked applications and systems due to their capability to handle graph-structured data. However, the growing awareness of data privacy severely challeng... | [] | Train |
41,676 | 30 | Title: Tragic and Comical Networks. Clustering Dramatic Genres According to Structural Properties
Abstract: There is a growing tradition in the joint field of network studies and drama history that produces interpretations from the character networks of the plays.The potential of such an interpretation is that the diag... | [] | Train |
41,677 | 16 | Title: MatFuse: Controllable Material Generation with Diffusion Models
Abstract: Creating high quality and realistic materials in computer graphics is a challenging and time-consuming task, which requires great expertise. In this paper, we present MatFuse, a novel unified approach that harnesses the generative power of... | [
44497,
34074,
11820
] | Validation |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.