node_id int64 0 76.9k | label int64 0 39 | text stringlengths 13 124k | neighbors listlengths 0 3.32k | mask stringclasses 4
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|---|---|---|---|---|
41,678 | 4 | Title: Privacy-Preserving Ensemble Infused Enhanced Deep Neural Network Framework for Edge Cloud Convergence
Abstract: We propose a privacy-preserving ensemble infused enhanced deep neural network (DNN)-based learning framework in this article for Internet of Things (IoT), edge, and cloud convergence in the context of ... | [] | Train |
41,679 | 10 | Title: Beyond XAI: Obstacles Towards Responsible AI
Abstract: The rapidly advancing domain of Explainable Artificial Intelligence (XAI) has sparked significant interests in developing techniques to make AI systems more transparent and understandable. Nevertheless, in real-world contexts, the methods of explainability a... | [
34343,
33967
] | Train |
41,680 | 16 | Title: Adv3D: Generating 3D Adversarial Examples in Driving Scenarios with NeRF
Abstract: Deep neural networks (DNNs) have been proven extremely susceptible to adversarial examples, which raises special safety-critical concerns for DNN-based autonomous driving stacks (i.e., 3D object detection). Although there are exte... | [
17601,
28454,
40870,
15750,
43114
] | Train |
41,681 | 5 | Title: A Locality-Aware Sparse Dynamic Data Exchange
Abstract: Parallel architectures are continually increasing in performance and scale, while underlying algorithmic infrastructure often fail to take full advantage of available compute power. Within the context of MPI, irregular communication patterns create bottlene... | [] | Validation |
41,682 | 24 | Title: Maximizing Submodular Functions for Recommendation in the Presence of Biases
Abstract: Subset selection tasks, arise in recommendation systems and search engines and ask to select a subset of items that maximize the value for the user. The values of subsets often display diminishing returns, and hence, submodula... | [
14496
] | Train |
41,683 | 30 | Title: PMET: Precise Model Editing in a Transformer
Abstract: Model editing techniques modify a minor proportion of knowledge in Large Language Models (LLMs) at a relatively low cost, which have demonstrated notable success. Existing methods assume Transformer Layer (TL) hidden states are values of key-value memories o... | [
40192,
31851,
33365,
1333,
39002
] | Train |
41,684 | 27 | Title: SpawnNet: Learning Generalizable Visuomotor Skills from Pre-trained Networks
Abstract: The existing internet-scale image and video datasets cover a wide range of everyday objects and tasks, bringing the potential of learning policies that have broad generalization. Prior works have explored visual pre-training w... | [
4385,
4643
] | Test |
41,685 | 31 | Title: DRIFT: A Federated Recommender System with Implicit Feedback on the Items
Abstract: Nowadays there are more and more items available online, this makes it hard for users to find items that they like. Recommender systems aim to find the item who best suits the user, using his historical interactions. Depending on... | [] | Train |
41,686 | 16 | Title: Gradient constrained sharpness-aware prompt learning for vision-language models
Abstract: This paper targets a novel trade-off problem in generalizable prompt learning for vision-language models (VLM), i.e., improving the performance on unseen classes while maintaining the performance on seen classes. Comparing ... | [
43137,
30315,
26454,
3319,
6556
] | Train |
41,687 | 13 | Title: Metaplasticity: Unifying Learning and Homeostatic Plasticity in Spiking Neural Networks
Abstract: The natural evolution of the human brain has given rise to multiple forms of synaptic plasticity, allowing for dynamic changes to adapt to an ever-evolving world. The evolutionary development of synaptic plasticity ... | [
22812,
30230
] | Train |
41,688 | 16 | Title: Integrating Boxes and Masks: A Multi-Object Framework for Unified Visual Tracking and Segmentation
Abstract: Tracking any given object(s) spatially and temporally is a common purpose in Visual Object Tracking (VOT) and Video Object Segmentation (VOS). Joint tracking and segmentation have been attempted in some s... | [
6560,
12870,
23570,
26484,
41109
] | Train |
41,689 | 4 | Title: A Real-Time Cosimulation Testbed for Electric Vehicle Charging and Smart Grid Security
Abstract: Faced with the threat of climate change, the world is rapidly adopting electric vehicles (EVs); however, the EV ecosystem is vulnerable to cyberattacks. In this article, we present a security-oriented real-time cosim... | [] | Train |
41,690 | 13 | Title: A new node-shift encoding representation for the travelling salesman problem
Abstract: This paper presents a new genetic algorithm encoding representation to solve the travelling salesman problem. To assess the performance of the proposed chromosome structure, we compare it with state-of-the-art encoding represe... | [] | Test |
41,691 | 30 | Title: Adversarially Robust Neural Legal Judgement Systems
Abstract: Legal judgment prediction is the task of predicting the outcome of court cases on a given text description of facts of cases. These tasks apply Natural Language Processing (NLP) techniques to predict legal judgment results based on facts. Recently, la... | [] | Validation |
41,692 | 16 | Title: Integrating GAN and Texture Synthesis for Enhanced Road Damage Detection
Abstract: In the domain of traffic safety and road maintenance, precise detection of road damage is crucial for ensuring safe driving and prolonging road durability. However, current methods often fall short due to limited data. Prior attem... | [] | Train |
41,693 | 24 | Title: Towards Semi-supervised Universal Graph Classification
Abstract: Graph neural networks have pushed state-of-the-arts in graph classifications recently. Typically, these methods are studied within the context of supervised end-to-end training, which necessities copious task-specific labels. However, in real-world... | [
23090,
42037,
36182,
7519
] | Train |
41,694 | 28 | Title: Unlimited Sampling of Bandpass Signals: Computational Demodulation via Undersampling
Abstract: Bandpass signals are an important sub-class of bandlimited signals that naturally arise in a number of application areas but their high-frequency content poses an acquisition challenge. Consequently,"Bandpass Sampling ... | [] | Train |
41,695 | 16 | Title: Face Animation with an Attribute-Guided Diffusion Model
Abstract: Face animation has achieved much progress in computer vision. However, prevailing GAN-based methods suffer from unnatural distortions and artifacts due to sophisticated motion deformation. In this paper, we propose a Face Animation framework with ... | [
19585,
32395,
1540
] | Validation |
41,696 | 30 | Title: CoSMo: A constructor specification language for Abstract Wikipedia's content selection process
Abstract: Representing snippets of information abstractly is a task that needs to be performed for various purposes, such as database view specification and the first stage in the natural language generation pipeline f... | [] | Train |
41,697 | 26 | Title: Common Ground In Crisis: Causal Narrative Networks of Public Official Communications During the COVID-19 Pandemic
Abstract: This study investigates the use of causal narratives in public social media communications by U.S. public agencies over the first fifteen months of the COVID-19 pandemic. We extract causal ... | [] | Train |
41,698 | 10 | Title: Analytical Techniques to Support Hospital Case Mix Planning
Abstract: This article introduces analytical techniques and a decision support tool to support capacity assessment and case mix planning (CMP) approaches previously created for hospitals. First, an optimization model is proposed to analyse the impact of... | [] | Test |
41,699 | 17 | Title: A Comprehensive Review of Data‐Driven Co‐Speech Gesture Generation
Abstract: Gestures that accompany speech are an essential part of natural and efficient embodied human communication. The automatic generation of such co‐speech gestures is a long‐standing problem in computer animation and is considered an enabli... | [
34944,
8424,
33512,
20138,
30925,
19888,
17875,
19667,
36214,
17241,
27642,
5628
] | Train |
41,700 | 28 | Title: On Distribution-Preserving Mitigation Strategies for Communication under Cognitive Adversaries
Abstract: In wireless security, cognitive adversaries are known to inject jamming energy on the victim’s frequency band and monitor the same band for countermeasures thereby trapping the victim. Under the class of cogn... | [] | Train |
41,701 | 28 | Title: Performance Analysis of OTSM under Hardware Impairments in Millimeter-Wave Vehicular Communication Networks
Abstract: Orthogonal time sequency multiplexing (OTSM) has been recently proposed as a single-carrier (SC) waveform offering similar bit error rate (BER) to multi-carrier orthogonal time frequency space (O... | [] | Train |
41,702 | 22 | Title: A Declarative Validator for GSOS Languages
Abstract: Rule formats can quickly establish meta-theoretic properties of process algebras. It is then desirable to identify domain-specific languages (DSLs) that can easily express rule formats. In prior work, we have developed Lang-n-Change, a DSL that includes conven... | [] | Train |
41,703 | 24 | Title: Practical Batch Bayesian Sampling Algorithms for Online Adaptive Traffic Experimentation
Abstract: Online controlled experiments have emerged as industry gold standard for assessing new web features. As new web algorithms proliferate, experimentation platform faces an increasing demand on the velocity of online ... | [] | Train |
41,704 | 16 | Title: Which Transformer to Favor: A Comparative Analysis of Efficiency in Vision Transformers
Abstract: The growing popularity of Vision Transformers as the go-to models for image classification has led to an explosion of architectural modifications claiming to be more efficient than the original ViT. However, a wide ... | [
19238,
17080,
11929,
7292,
12287
] | Train |
41,705 | 25 | Title: Simultaneous Measurement of Multiple Acoustic Attributes Using Structured Periodic Test Signals Including Music and Other Sound Materials
Abstract: We introduce a general framework for measuring acoustic properties such as liner time-invariant (LTI) response, signal-dependent time-invariant (SDTI) component, and... | [] | Train |
41,706 | 30 | Title: From Sparse to Dense: GPT-4 Summarization with Chain of Density Prompting
Abstract: Selecting the ``right'' amount of information to include in a summary is a difficult task. A good summary should be detailed and entity-centric without being overly dense and hard to follow. To better understand this tradeoff, we... | [
38208,
5346,
33220,
7628,
37935,
30386,
28151,
43641,
39642,
39451
] | Train |
41,707 | 16 | Title: Synthesizing Anyone, Anywhere, in Any Pose
Abstract: We address the task of in-the-wild human figure synthesis, where the primary goal is to synthesize a full body given any region in any image. In-the-wild human figure synthesis has long been a challenging and under-explored task, where current methods struggle... | [
26179,
30348
] | Train |
41,708 | 6 | Title: Submerse: Visualizing Storm Surge Flooding Simulations in Immersive Display Ecologies
Abstract: We present Submerse, an end-to-end framework for visualizing flooding scenarios on large and immersive display ecologies. Specifically, we reconstruct a surface mesh from input flood simulation data and generate a to-... | [] | Train |
41,709 | 23 | Title: A Prelimanary Exploration on component based software engineering
Abstract: Component-based software development (CBD) is a methodology that has been embraced by the software industry to accelerate development, save costs and timelines, minimize testing requirements, and boost quality and output. Compared to the... | [] | Validation |
41,710 | 27 | Title: On the Utility of Koopman Operator Theory in Learning Dexterous Manipulation Skills
Abstract: Despite impressive dexterous manipulation capabilities enabled by learning-based approaches, we are yet to witness widespread adoption beyond well-resourced laboratories. This is likely due to practical limitations, suc... | [] | Train |
41,711 | 24 | Title: LNO: Laplace Neural Operator for Solving Differential Equations
Abstract: We introduce the Laplace neural operator (LNO), which leverages the Laplace transform to decompose the input space. Unlike the Fourier Neural Operator (FNO), LNO can handle non-periodic signals, account for transient responses, and exhibit... | [
6881,
13996,
23951,
13072,
32153,
27162,
1275,
25821,
34847
] | Train |
41,712 | 24 | Title: Learning Logic Programs by Discovering Higher-Order Abstractions
Abstract: Discovering novel abstractions is important for human-level AI. We introduce an approach to discover higher-order abstractions, such as map, filter, and fold. We focus on inductive logic programming, which induces logic programs from exam... | [] | Test |
41,713 | 27 | Title: Mani-GPT: A Generative Model for Interactive Robotic Manipulation
Abstract: In real-world scenarios, human dialogues are multi-round and diverse. Furthermore, human instructions can be unclear and human responses are unrestricted. Interactive robots face difficulties in understanding human intents and generating... | [
8360
] | Train |
41,714 | 24 | Title: Physics-aware deep learning framework for linear elasticity
Abstract: The paper presents an efficient and robust data-driven deep learning (DL) computational framework developed for linear continuum elasticity problems. The methodology is based on the fundamentals of the Physics Informed Neural Networks (PINNs).... | [
8935
] | Train |
41,715 | 16 | Title: A Two-Stage Real Image Deraining Method for GT-RAIN Challenge CVPR 2023 Workshop UG2 + Track 3
Abstract: In this technical report, we briefly introduce the solution of our team HUST\li VIE for GT-Rain Challenge in CVPR 2023 UG$^{2}$+ Track 3. In this task, we propose an efficient two-stage framework to reconstru... | [] | Train |
41,716 | 23 | Title: Hyperfuzzing: black-box security hypertesting with a grey-box fuzzer
Abstract: Information leakage is a class of error that can lead to severe consequences. However unlike other errors, it is rarely explicitly considered during the software testing process. LeakFuzzer advances the state of the art by using a non... | [] | Train |
41,717 | 30 | Title: Reinforcement Learning for Topic Models
Abstract: We apply reinforcement learning techniques to topic modeling by replacing the variational autoencoder in ProdLDA with a continuous action space reinforcement learning policy. We train the system with a policy gradient algorithm REINFORCE. Additionally, we introdu... | [] | Train |
41,718 | 30 | Title: Tailoring Domain Adaptation for Machine Translation Quality Estimation
Abstract: While quality estimation (QE) can play an important role in the translation process, its effectiveness relies on the availability and quality of training data. For QE in particular, high-quality labeled data is often lacking due to ... | [
10894
] | Validation |
41,719 | 10 | Title: Construction of Decision Trees and Acyclic Decision Graphs from Decision Rule Systems
Abstract: Decision trees and systems of decision rules are widely used as classifiers, as a means for knowledge representation, and as algorithms. They are among the most interpretable models for data analysis. The study of the... | [
15747,
12389
] | Train |
41,720 | 22 | Title: Viewing Allocators as Bin Packing Solvers Demystifies Fragmentation
Abstract: This paper presents a trace-based simulation methodology for constructing representations of workload-allocator interaction. We use two-dimensional rectangular bin packing (2DBP) as our foundation. Classical 2DBP algorithms minimize th... | [
44839
] | Validation |
41,721 | 30 | Title: Aligning Language Models to User Opinions
Abstract: An important aspect of developing LLMs that interact with humans is to align models' behavior to their users. It is possible to prompt an LLM into behaving as a certain persona, especially a user group or ideological persona the model captured during its pertai... | [
28674,
24841,
846,
27281,
13654,
729
] | Train |
41,722 | 24 | Title: EvoCLINICAL: Evolving Cyber-Cyber Digital Twin with Active Transfer Learning for Automated Cancer Registry System
Abstract: The Cancer Registry of Norway (CRN) collects information on cancer patients by receiving cancer messages from different medical entities (e.g., medical labs, and hospitals) in Norway. Such ... | [
45537,
30126,
22726
] | Train |
41,723 | 27 | Title: Effects of Explanation Specificity on Passengers in Autonomous Driving
Abstract: The nature of explanations provided by an explainable AI algorithm has been a topic of interest in the explainable AI and human-computer interaction community. In this paper, we investigate the effects of natural language explanatio... | [] | Validation |
41,724 | 30 | Title: "Merge Conflicts!"Exploring the Impacts of External Distractors to Parametric Knowledge Graphs
Abstract: Large language models (LLMs) acquire extensive knowledge during pre-training, known as their parametric knowledge. However, in order to remain up-to-date and align with human instructions, LLMs inevitably req... | [
29441,
27138,
10357,
634,
27669,
32213,
28346
] | Test |
41,725 | 24 | Title: Discrete Latent Structure in Neural Networks
Abstract: Many types of data from fields including natural language processing, computer vision, and bioinformatics, are well represented by discrete, compositional structures such as trees, sequences, or matchings. Latent structure models are a powerful tool for lear... | [
11566
] | Test |
41,726 | 30 | Title: Interpretable multimodal sentiment analysis based on textual modality descriptions by using large-scale language models
Abstract: Multimodal sentiment analysis is an important area for understanding the user's internal states. Deep learning methods were effective, but the problem of poor interpretability has gra... | [
16827
] | Train |
41,727 | 4 | Title: BLE Protocol in IoT Devices and Smart Wearable Devices: Security and Privacy Threats
Abstract: Bluetooth Low Energy (BLE) has become the primary transmission media due to its extremely low energy consumption, good network scope, and data transfer speed for the Internet of Things (IoT) and smart wearable devices.... | [] | Train |
41,728 | 34 | Title: Efficient Approximation Algorithms for Scheduling Coflows with Precedence Constraints in Identical Parallel Networks to Minimize Weighted Completion Time
Abstract: This paper focuses on the problem of coflow scheduling with precedence constraints in identical parallel networks, which is a well-known $\mathcal{NP... | [] | Validation |
41,729 | 23 | Title: Economical Accommodations for Neurodivergent Students in Software Engineering Education: Experiences from an Intervention in Four Undergraduate Courses
Abstract: Neurodiversity is an umbrella term that describes variation in brain function among individuals, including conditions such as Attention deficit hyperac... | [] | Test |
41,730 | 16 | Title: A Survey of Label-Efficient Deep Learning for 3D Point Clouds
Abstract: In the past decade, deep neural networks have achieved significant progress in point cloud learning. However, collecting large-scale precisely-annotated training data is extremely laborious and expensive, which hinders the scalability of exi... | [
25376,
17410,
21093,
43131,
24172,
28652,
28859,
34397,
6942,
5535
] | Train |
41,731 | 27 | Title: MOTLEE: Distributed Mobile Multi-Object Tracking with Localization Error Elimination
Abstract: We present MOTLEE, a distributed mobile multi-object tracking algorithm that enables a team of robots to collaboratively track moving objects in the presence of localization error. Existing approaches to distributed tr... | [] | Train |
41,732 | 30 | Title: Development and validation of a natural language processing algorithm to pseudonymize documents in the context of a clinical data warehouse
Abstract: The objective of this study is to address the critical issue of de-identification of clinical reports in order to allow access to data for research purposes, while... | [
13713
] | Train |
41,733 | 24 | Title: Unbalanced Low-rank Optimal Transport Solvers
Abstract: The relevance of optimal transport methods to machine learning has long been hindered by two salient limitations. First, the $O(n^3)$ computational cost of standard sample-based solvers (when used on batches of $n$ samples) is prohibitive. Second, the mass ... | [
4643,
21916
] | Train |
41,734 | 24 | Title: Dual Algorithmic Reasoning
Abstract: Neural Algorithmic Reasoning is an emerging area of machine learning which seeks to infuse algorithmic computation in neural networks, typically by training neural models to approximate steps of classical algorithms. In this context, much of the current work has focused on le... | [
10721,
27210,
31997,
10110
] | Train |
41,735 | 16 | Title: Take 5: Interpretable Image Classification with a Handful of Features
Abstract: Deep Neural Networks use thousands of mostly incomprehensible features to identify a single class, a decision no human can follow. We propose an interpretable sparse and low dimensional final decision layer in a deep neural network w... | [
39422
] | Test |
41,736 | 6 | Title: Three-dimensional hand guidance by midair haptic display
Abstract: Guiding human movements using tactile information is one of the promising applications of haptics. Using midair ultrasonic haptic stimulation, it is possible to guide a hand without visual information.However, the information of movement shown by... | [] | Validation |
41,737 | 24 | Title: On the Importance of Sign Labeling: The Hamburg Sign Language Notation System Case Study
Abstract: Labeling is the cornerstone of supervised machine learning, which has been exploited in a plethora of various applications, with sign language recognition being one of them. However, such algorithms must be fed wit... | [] | Test |
41,738 | 27 | Title: A Mobile Quad-Arm Robot ARMS: Wheel-Legged Tripedal Locomotion and Quad-Arm Manipulation
Abstract: This article proposes a mobile quad-arm robot: ARMS that unifies wheel-legged tripedal locomotion, wheeled locomotion, and quad-arm manipulation. The four arms have different mechanics and are designed to be genera... | [] | Train |
41,739 | 16 | Title: CASP-Net: Rethinking Video Saliency Prediction from an Audio-Visual Consistency Perceptual Perspective
Abstract: Incorporating the audio stream enables Video Saliency Prediction (VSP) to imitate the selective attention mechanism of human brain. By focusing on the benefits of joint auditory and visual information... | [] | Train |
41,740 | 25 | Title: BigWavGAN: A Wave-To-Wave Generative Adversarial Network for Music Super-Resolution
Abstract: Generally, Deep Neural Networks (DNNs) are expected to have high performance when their model size is large. However, large models failed to produce high-quality results commensurate with their scale in music Super-Reso... | [
5859
] | Validation |
41,741 | 24 | Title: Comparison of Clustering Algorithms for Statistical Features of Vibration Data Sets
Abstract: Vibration-based condition monitoring systems are receiving increasing attention due to their ability to accurately identify different conditions by capturing dynamic features over a broad frequency range. However, there... | [] | Test |
41,742 | 23 | Title: A Survey on Process Variants Meta-modelling Approaches
Abstract: This paper introduces the concept of process variants in process-aware information systems (PAIS) during the design-time phase, where multiple variants of a single process must be specified. Today's organizations have to manage multiple variants of... | [] | Train |
41,743 | 30 | Title: GMNLP at SemEval-2023 Task 12: Sentiment Analysis with Phylogeny-Based Adapters
Abstract: This report describes GMU’s sentiment analysis system for the SemEval-2023 shared task AfriSenti-SemEval. We participated in all three sub-tasks: Monolingual, Multilingual, and Zero-Shot. Our approach uses models initialize... | [
7561,
20226,
24954
] | Train |
41,744 | 30 | Title: Weakly-Supervised Scientific Document Classification via Retrieval-Augmented Multi-Stage Training
Abstract: Scientific document classification is a critical task for a wide range of applications, but the cost of collecting human-labeled data can be prohibitive. We study scientific document classification using l... | [
26319,
10224,
7090,
2295,
19288,
44279
] | Test |
41,745 | 4 | Title: Enhancing IoT Security and Privacy with Trusted Execution Environments and Machine Learning
Abstract: With the increasing popularity of Internet of Things (IoT) devices, security concerns have become a major challenge: confidential information is constantly being transmitted (sometimes inadvertently) from user d... | [] | Train |
41,746 | 8 | Title: Bluetooth and WiFi Dataset for Real World RF Fingerprinting of Commercial Devices
Abstract: RF fingerprinting is emerging as a physical layer security scheme to identify illegitimate and/or unauthorized emitters sharing the RF spectrum. However, due to the lack of publicly accessible real-world datasets, most re... | [] | Test |
41,747 | 16 | Title: Zero-shot Unsupervised Transfer Instance Segmentation
Abstract: Segmentation is a core computer vision competency, with applications spanning a broad range of scientifically and economically valuable domains. To date, however, the prohibitive cost of annotation has limited the deployment of flexible segmentation... | [] | Train |
41,748 | 16 | Title: DisasterNets: Embedding Machine Learning in Disaster Mapping
Abstract: Disaster mapping is a critical task that often requires on-site experts and is time-consuming. To address this, a comprehensive framework is presented for fast and accurate recognition of disasters using machine learning, termed DisasterNets.... | [
8332
] | Train |
41,749 | 24 | Title: Semi-Asynchronous Federated Edge Learning Mechanism via Over-the-air Computation
Abstract: Over-the-air Computation (AirComp) has been demonstrated as an effective transmission scheme to boost the efficiency of federated edge learning (FEEL). However, existing FEEL systems with AirComp scheme often employ tradit... | [] | Train |
41,750 | 16 | Title: A Video-based Detector for Suspicious Activity in Examination with OpenPose
Abstract: Examinations are a crucial part of the learning process, and academic institutions invest significant resources into maintaining their integrity by preventing cheating from students or facilitators. However, cheating has become... | [] | Test |
41,751 | 13 | Title: Robust Decision-Making in Spatial Learning: A Comparative Study of Successor Features and Predecessor Features Algorithms
Abstract: Predictive map theory, one of the theories explaining spatial learning in animals, is based on successor representation (SR) learning algorithms. In the real world, agents such as a... | [] | Train |
41,752 | 30 | Title: Understanding compositional data augmentation in automatic morphological inflection
Abstract: Data augmentation techniques are widely used in low-resource automatic morphological inflection to address the issue of data sparsity. However, the full implications of these techniques remain poorly understood. In this... | [] | Test |
41,753 | 16 | Title: ETPNav: Evolving Topological Planning for Vision-Language Navigation in Continuous Environments
Abstract: Vision-language navigation is a task that requires an agent to follow instructions to navigate in environments. It becomes increasingly crucial in the field of embodied AI, with potential applications in aut... | [
35421,
14699,
19757,
2578,
22077
] | Train |
41,754 | 4 | Title: SGX Switchless Calls Made Configless
Abstract: Intel's software guard extensions (SGX) provide hardware enclaves to guarantee confidentiality and integrity for sensitive code and data. However, systems leveraging such security mechanisms must often pay high performance overheads. A major source of this overhead ... | [
21436
] | Train |
41,755 | 11 | Title: Communication-Efficient Cooperative Multi-Agent PPO via Regulated Segment Mixture in Internet of Vehicles
Abstract: Multi-Agent Reinforcement Learning (MARL) has become a classic paradigm to solve diverse, intelligent control tasks like autonomous driving in Internet of Vehicles (IoV). However, the widely assume... | [] | Train |
41,756 | 28 | Title: Collaborative Learning with a Drone Orchestrator
Abstract: In this paper, the problem of drone-assisted collaborative learning is considered. In this scenario, swarm of intelligent wireless devices train a shared neural network (NN) model with the help of a drone. Using its sensors, each device records samples f... | [] | Validation |
41,757 | 10 | Title: Interactive Multi Interest Process Pattern Discovery
Abstract: Process pattern discovery methods (PPDMs) aim at identifying patterns of interest to users. Existing PPDMs typically are unsupervised and focus on a single dimension of interest, such as discovering frequent patterns. We present an interactive multi ... | [] | Train |
41,758 | 1 | Title: Cuing Without Sharing: A Federated Cued Speech Recognition Framework via Mutual Knowledge Distillation
Abstract: Cued Speech (CS) is a visual coding tool to encode spoken languages at the phonetic level, which combines lip-reading and hand gestures to effectively assist communication among people with hearing im... | [
8424
] | Train |
41,759 | 8 | Title: Intelligent Traffic Control with Smart Speed Bumps
Abstract: Traffic congestion and safety continue to pose significant challenges in urban environments. In this paper, we introduce the Smart Speed Bump (SSBump), a novel traffic calming solution that leverages the Internet of Things (IoT) and innovative non-Newt... | [] | Validation |
41,760 | 30 | Title: Learning the Effects of Physical Actions in a Multi-modal Environment
Abstract: Large Language Models (LLMs) handle physical commonsense information inadequately. As a result of being trained in a disembodied setting, LLMs often fail to predict an action’s outcome in a given environment. However, predicting the ... | [
2578
] | Train |
41,761 | 3 | Title: Rules of Engagement: Why and How Companies Participate in OSS
Abstract: Company engagement in open source (OSS) is now the new norm. From large technology companies to startups, companies are participating in the OSS ecosystem by open-sourcing their technology, sponsoring projects through funding or paid develop... | [] | Validation |
41,762 | 16 | Title: Improving the Transferability of Adversarial Examples with Arbitrary Style Transfer
Abstract: Deep neural networks are vulnerable to adversarial examples crafted by applying human-imperceptible perturbations on clean inputs. Although many attack methods can achieve high success rates in the white-box setting, th... | [
30440,
41578,
4877
] | Train |
41,763 | 8 | Title: Assessing Network Operator Actions to Enhance Digital Sovereignty and Strengthen Network Resilience: A Longitudinal Analysis during the Russia-Ukraine Conflict
Abstract: We conduct longitudinal and temporal analyses on active DNS measurement data to investigate how the Russia-Ukraine conflict impacted the networ... | [] | Validation |
41,764 | 13 | Title: A Graph is Worth 1-bit Spikes: When Graph Contrastive Learning Meets Spiking Neural Networks
Abstract: While contrastive self-supervised learning has become the de-facto learning paradigm for graph neural networks, the pursuit of high task accuracy requires a large hidden dimensionality to learn informative and ... | [
10496,
41401,
23117
] | Train |
41,765 | 16 | Title: SparseBEV: High-Performance Sparse 3D Object Detection from Multi-Camera Videos
Abstract: Camera-based 3D object detection in BEV (Bird's Eye View) space has drawn great attention over the past few years. Dense detectors typically follow a two-stage pipeline by first constructing a dense BEV feature and then per... | [
29656,
34098,
32611,
18676
] | Test |
41,766 | 30 | Title: Linearity of Relation Decoding in Transformer Language Models
Abstract: Much of the knowledge encoded in transformer language models (LMs) may be expressed in terms of relations: relations between words and their synonyms, entities and their attributes, etc. We show that, for a subset of relations, this computat... | [
13700,
30331,
33933,
33365,
45275
] | Test |
41,767 | 30 | Title: The African Stopwords project: curating stopwords for African languages
Abstract: Stopwords are fundamental in Natural Language Processing (NLP) techniques for information retrieval. One of the common tasks in preprocessing of text data is the removal of stopwords. Currently, while high-resource languages like E... | [
20226
] | Train |
41,768 | 16 | Title: Semi-Supervised 2D Human Pose Estimation Driven by Position Inconsistency Pseudo Label Correction Module
Abstract: In this paper, we delve into semi-supervised 2D human pose estimation. The previous method ignored two problems: (i) When conducting interactive training between large model and lightweight model, t... | [
26179
] | Test |
41,769 | 27 | Title: Failure-Sentient Composition For Swarm-Based Drone Services
Abstract: We propose a novel failure-sentient framework for swarm-based drone delivery services. The framework ensures that those drones that experience a noticeable degradation in their performance (called soft failure) and which are part of a swarm, d... | [
35428,
6988
] | Test |
41,770 | 30 | Title: Persian Typographical Error Type Detection using Many-to-Many Deep Neural Networks on Algorithmically-Generated Misspellings
Abstract: Digital technologies have led to an influx of text created daily in a variety of languages, styles, and formats. A great deal of the popularity of spell-checking systems can be a... | [
34085
] | Validation |
41,771 | 34 | Title: Faster Approximation Algorithms for Parameterized Graph Clustering and Edge Labeling
Abstract: Graph clustering is a fundamental task in network analysis where the goal is to detect sets of nodes that are well-connected to each other but sparsely connected to the rest of the graph. We present faster approximatio... | [] | Train |
41,772 | 23 | Title: Revisiting and Improving Retrieval-Augmented Deep Assertion Generation
Abstract: Unit testing validates the correctness of the unit under test and has become an essential activity in software development process. A unit test consists of a test prefix that drives the unit under test into a particular state, and a... | [
6866
] | Train |
41,773 | 16 | Title: HGFormer: Hierarchical Grouping Transformer for Domain Generalized Semantic Segmentation
Abstract: Current semantic segmentation models have achieved great success under the independent and identically distributed (i.i.d.) condition. However, in real-world applications, test data might come from a different doma... | [
25889,
24858,
27189
] | Train |
41,774 | 10 | Title: Base-based Model Checking for Multi-Agent Only Believing (long version)
Abstract: We present a novel semantics for the language of multi-agent only believing exploiting belief bases, and show how to use it for automatically checking formulas of this language and of its dynamic extension with private belief expan... | [] | Test |
41,775 | 30 | Title: Better Sign Language Translation with Monolingual Data
Abstract: Sign language translation (SLT) systems, which are often decomposed into video-to-gloss (V2G) recognition and gloss-to-text (G2T) translation through the pivot gloss, heavily relies on the availability of large-scale parallel G2T pairs. However, th... | [] | Train |
41,776 | 24 | Title: End-to-end Training of Deep Boltzmann Machines by Unbiased Contrastive Divergence with Local Mode Initialization
Abstract: We address the problem of biased gradient estimation in deep Boltzmann machines (DBMs). The existing method to obtain an unbiased estimator uses a maximal coupling based on a Gibbs sampler, ... | [] | Train |
41,777 | 24 | Title: Deep into The Domain Shift: Transfer Learning through Dependence Regularization
Abstract: Classical domain adaptation methods acquire transferability by regularizing the overall distributional discrepancies between features in the source domain (labeled) and features in the target domain (unlabeled). They often ... | [] | Train |
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