node_id int64 0 76.9k | label int64 0 39 | text stringlengths 13 124k | neighbors listlengths 0 3.32k | mask stringclasses 4
values |
|---|---|---|---|---|
27,778 | 30 | Title: SSS at SemEval-2023 Task 10: Explainable Detection of Online Sexism using Majority Voted Fine-Tuned Transformers
Abstract: This paper describes our submission to Task 10 at SemEval 2023-Explainable Detection of Online Sexism (EDOS), divided into three subtasks. The recent rise in social media platforms has seen ... | [
16936,
2298
] | Train |
27,779 | 24 | Title: DQNAS: Neural Architecture Search using Reinforcement Learning
Abstract: — Convolutional Neural Networks have been used in a variety of image related applications after their rise in popularity due to ImageNet competition. Convolutional Neural Networks have shown remarkable results in applications including face... | [
6962
] | Validation |
27,780 | 28 | Title: Comments on "A Linear Time Algorithm for the Optimal Discrete IRS Beamforming"
Abstract: Comments on [1] are provided. Updated necessary and sufficient conditions for its Lemma 1 are given. Consequently, an updated Algorithm 1 is provided with full specification. Simulation results with improved performance over... | [] | Train |
27,781 | 25 | Title: DST: Deformable Speech Transformer for Emotion Recognition
Abstract: Enabled by multi-head self-attention, Transformer has exhibited remarkable results in speech emotion recognition (SER). Compared to the original full attention mechanism, window-based attention is more effective in learning fine-grained feature... | [
5283,
1591
] | Validation |
27,782 | 16 | Title: Diffusion-based Generation, Optimization, and Planning in 3D Scenes
Abstract: We introduce the SceneDiffuser, a conditional generative model for 3D scene understanding. SceneDiffuser provides a unified model for solving scene-conditioned generation, optimization, and planning. In contrast to prior work, SceneDif... | [
17529,
13826,
46083,
42500,
22791,
21518,
45333,
5784,
10529,
8994,
38181,
35770,
1603,
43720,
10057,
34000,
37218,
39526,
15221,
24057
] | Train |
27,783 | 15 | Title: Characterizing the impact of last-level cache replacement policies on big-data workloads
Abstract: The vast disparity between Last Level Cache (LLC) and memory latencies has motivated the need for efficient cache management policies. The computer architecture literature abounds with work on LLC replacement polic... | [
36331
] | Train |
27,784 | 28 | Title: Fairness Enhancement of UAV Systems with Hybrid Active-Passive RIS
Abstract: We consider unmanned aerial vehicle (UAV)-enabled wireless systems where downlink communications between a multi-antenna UAV and multiple users are assisted by a hybrid active-passive reconfigurable intelligent surface (RIS). We aim at ... | [] | Test |
27,785 | 16 | Title: DINAR: Diffusion Inpainting of Neural Textures for One-Shot Human Avatars
Abstract: We present DINAR, an approach for creating realistic rigged fullbody avatars from single RGB images. Similarly to previous works, our method uses neural textures combined with the SMPL-X body model to achieve photo-realistic qual... | [
32384,
3867,
8308,
34167
] | Train |
27,786 | 22 | Title: The Janus System: Multi-paradigm Programming in Prolog and Python
Abstract: Python and Prolog express different programming paradigms, with different strengths. Python is wildly popular because it is well-structured, easy to use, and mixes well with thousands of scientific and machine learning programs written i... | [] | Validation |
27,787 | 35 | Title: Karma: Resource Allocation for Dynamic Demands
Abstract: We consider the problem of fair resource allocation in a system where user demands are dynamic, that is, where user demands vary over time. Our key observation is that the classical max-min fairness algorithm for resource allocation provides many desirable... | [] | Test |
27,788 | 16 | Title: Real-Time Semantic Segmentation: A Brief Survey & Comparative Study in Remote Sensing
Abstract: Real-time semantic segmentation of remote sensing imagery is a challenging task that requires a trade-off between effectiveness and efficiency. It has many applications including tracking forest fires, detecting chang... | [
20104,
38901,
23367
] | Train |
27,789 | 24 | Title: Drug Interaction Vectors Neural Network: DrIVeNN
Abstract: Polypharmacy, the concurrent use of multiple drugs to treat a single condition, is common in patients managing multiple or complex conditions. However, as more drugs are added to the treatment plan, the risk of adverse drug events (ADEs) rises rapidly. M... | [] | Train |
27,790 | 16 | Title: Estimating Extreme 3D Image Rotation with Transformer Cross-Attention
Abstract: The estimation of large and extreme image rotation plays a key role in multiple computer vision domains, where the rotated images are related by a limited or a non-overlapping field of view. Contemporary approaches apply convolutiona... | [] | Train |
27,791 | 16 | Title: Representing Volumetric Videos as Dynamic MLP Maps
Abstract: This paper introduces a novel representation of volumetric videos for real-time view synthesis of dynamic scenes. Recent advances in neural scene representations demonstrate their remarkable capability to model and render complex static scenes, but ext... | [
35986,
18487
] | Train |
27,792 | 10 | Title: Pointwise-in-Time Explanation for Linear Temporal Logic Rules
Abstract: This work introduces a framework to assess the relevance of individual linear temporal logic (LTL) constraints at specific times in a given path plan, a task we refer to as"pointwise-in-time"explanation. We develop this framework, featuring ... | [] | Train |
27,793 | 6 | Title: A Data-Driven Approach for Finding Requirements Relevant Feedback from TikTok and YouTube
Abstract: The increasing importance of videos as a medium for engagement, communication, and content creation makes them critical for organizations to consider for user feedback. However, sifting through vast amounts of vid... | [] | Train |
27,794 | 16 | Title: Prompt Learning for Action Recognition
Abstract: We present a new general learning approach for action recognition, Prompt Learning for Action Recognition (PLAR), which leverages the strengths of prompt learning to guide the learning process. Our approach is designed to predict the action label by helping the mo... | [
39367,
23018,
12907,
7476,
35263
] | Validation |
27,795 | 16 | Title: Zip-NeRF: Anti-Aliased Grid-Based Neural Radiance Fields
Abstract: Neural Radiance Field training can be accelerated through the use of grid-based representations in NeRF's learned mapping from spatial coordinates to colors and volumetric density. However, these grid-based approaches lack an explicit understandi... | [
44288,
2950,
16390,
26475,
3277,
33423,
13010,
17075,
30457,
3225,
39452,
36030,
9599
] | Train |
27,796 | 27 | Title: Ship trajectory planning method for reproducing human operation at ports
Abstract: nan | [] | Train |
27,797 | 24 | Title: Wavelets Beat Monkeys at Adversarial Robustness
Abstract: Research on improving the robustness of neural networks to adversarial noise - imperceptible malicious perturbations of the data - has received significant attention. The currently uncontested state-of-the-art defense to obtain robust deep neural networks... | [] | Train |
27,798 | 24 | Title: Model Agnostic Sample Reweighting for Out-of-Distribution Learning
Abstract: Distributionally robust optimization (DRO) and invariant risk minimization (IRM) are two popular methods proposed to improve out-of-distribution (OOD) generalization performance of machine learning models. While effective for small mode... | [
44867,
14501,
27504,
40466,
37593,
13595,
10015
] | Validation |
27,799 | 30 | Title: Exploring the Limits of Transfer Learning with Unified Model in the Cybersecurity Domain
Abstract: With the increase in cybersecurity vulnerabilities of software systems, the ways to exploit them are also increasing. Besides these, malware threats, irregular network interactions, and discussions about exploits i... | [
10033
] | Train |
27,800 | 33 | Title: On Decidability and Expressive Power of Fusion Grammars
Abstract: We prove decidability of the non-emptiness problems for fusion grammars and decidability of the membership problem for fusion grammars without markers and connectors. Additionally, we prove the Parikh theorem for connection-preserving fusion gramm... | [] | Train |
27,801 | 30 | Title: Text2KGBench: A Benchmark for Ontology-Driven Knowledge Graph Generation from Text
Abstract: The recent advances in large language models (LLM) and foundation models with emergent capabilities have been shown to improve the performance of many NLP tasks. LLMs and Knowledge Graphs (KG) can complement each other s... | [
13700,
28809,
25877,
28214,
21815,
38102,
9403,
35388
] | Validation |
27,802 | 16 | Title: Unsupervised Object Localization with Representer Point Selection
Abstract: We propose a novel unsupervised object localization method that allows us to explain the predictions of the model by utilizing self-supervised pre-trained models without additional finetuning. Existing unsupervised and self-supervised ob... | [] | Validation |
27,803 | 23 | Title: A Model Based Framework for Testing Safety and Security in Operational Technology Environments
Abstract: Today’s industrial control systems consist of tightly coupled components allowing adversaries to exploit security attack surfaces from the information technology side, and, thus, also get access to automation... | [] | Test |
27,804 | 24 | Title: FlexShard: Flexible Sharding for Industry-Scale Sequence Recommendation Models
Abstract: Sequence-based deep learning recommendation models (DLRMs) are an emerging class of DLRMs showing great improvements over their prior sum-pooling based counterparts at capturing users' long term interests. These improvements... | [
9610,
18331,
22951
] | Validation |
27,805 | 16 | Title: MARS: Mask Attention Refinement with Sequential Quadtree Nodes for Car Damage Instance Segmentation
Abstract: Evaluating car damages from misfortune is critical to the car insurance industry. However, the accuracy is still insufficient for real-world applications since the deep learning network is not designed f... | [] | Train |
27,806 | 27 | Title: Action and Trajectory Planning for Urban Autonomous Driving with Hierarchical Reinforcement Learning
Abstract: Reinforcement Learning (RL) has made promising progress in planning and decision-making for Autonomous Vehicles (AVs) in simple driving scenarios. However, existing RL algorithms for AVs fail to learn c... | [
41506
] | Train |
27,807 | 6 | Title: Predictive Wand: a mathematical interface design for operations with delays
Abstract: Action-feedback delay during operation reduces both task performance and sense of agency (SoA). In this study, using information-theoretic free energy, we formalized a novel mathematical model for explaining the influence of de... | [] | Test |
27,808 | 16 | Title: Towards Content-based Pixel Retrieval in Revisited Oxford and Paris
Abstract: This paper introduces the first two pixel retrieval benchmarks. Pixel retrieval is segmented instance retrieval. Like semantic segmentation extends classification to the pixel level, pixel retrieval is an extension of image retrieval a... | [] | Train |
27,809 | 31 | Title: Que2Engage: Embedding-based Retrieval for Relevant and Engaging Products at Facebook Marketplace
Abstract: Embedding-based Retrieval (EBR) is a powerful search retrieval technique in e-commerce to address semantic matches between search queries and products. However, commerce search engines like Facebook Marketp... | [
33530,
27637
] | Train |
27,810 | 30 | Title: Comparative Analysis of Contextual Relation Extraction based on Deep Learning Models
Abstract: Contextual Relation Extraction (CRE) is mainly used for constructing a knowledge graph with a help of ontology. It performs various tasks such as semantic search, query answering, and textual entailment. Relation extra... | [] | Train |
27,811 | 27 | Title: Black-Box vs. Gray-Box: A Case Study on Learning Table Tennis Ball Trajectory Prediction with Spin and Impacts
Abstract: In this paper, we present a method for table tennis ball trajectory filtering and prediction. Our gray-box approach builds on a physical model. At the same time, we use data to learn parameter... | [] | Validation |
27,812 | 27 | Title: Learning a Single Policy for Diverse Behaviors on a Quadrupedal Robot using Scalable Motion Imitation
Abstract: Learning various motor skills for quadrupedal robots is a challenging problem that requires careful design of task-specific mathematical models or reward descriptions. In this work, we propose to learn... | [
34398
] | Train |
27,813 | 24 | Title: Targeted Adversarial Attacks on Wind Power Forecasts
Abstract: In recent years, researchers proposed a variety of deep learning models for wind power forecasting. These models predict the wind power generation of wind farms or entire regions more accurately than traditional machine learning algorithms or physica... | [] | Train |
27,814 | 24 | Title: Conditional Support Alignment for Domain Adaptation with Label Shift
Abstract: Unsupervised domain adaptation (UDA) refers to a domain adaptation framework in which a learning model is trained based on the labeled samples on the source domain and unlabelled ones in the target domain. The dominant existing method... | [] | Validation |
27,815 | 30 | Title: Certifying LLM Safety against Adversarial Prompting
Abstract: Large language models (LLMs) released for public use incorporate guardrails to ensure their output is safe, often referred to as"model alignment."An aligned language model should decline a user's request to produce harmful content. However, such safet... | [
44481,
17295,
10800,
42417,
4658,
43641
] | Train |
27,816 | 10 | Title: Enhancing Efficient Continual Learning with Dynamic Structure Development of Spiking Neural Networks
Abstract: Children possess the ability to learn multiple cognitive tasks sequentially, which is a major challenge toward the long-term goal of artificial general intelligence. Existing continual learning framewor... | [] | Validation |
27,817 | 16 | Title: Generative Text-Guided 3D Vision-Language Pretraining for Unified Medical Image Segmentation
Abstract: Vision-Language Pretraining (VLP) has demonstrated remarkable capabilities in learning visual representations from textual descriptions of images without annotations. Yet, effective VLP demands large-scale imag... | [
28288,
20386,
43494,
8967,
44199,
2638,
23283,
36633,
16635
] | Train |
27,818 | 6 | Title: Threat Perception Modulation by Capturing Emotion, Motor and Empathetic System Responses: A Systematic Review
Abstract: The fight or flight phenomena is of evolutionary origin and responsible for the type of defensive behaviours enacted, when in the face of threat. This review attempts to draw the link between f... | [] | Test |
27,819 | 24 | Title: Learning a Neuron by a Shallow ReLU Network: Dynamics and Implicit Bias for Correlated Inputs
Abstract: We prove that, for the fundamental regression task of learning a single neuron, training a one-hidden layer ReLU network of any width by gradient flow from a small initialisation converges to zero loss and is ... | [] | Train |
27,820 | 10 | Title: Medication Recommendation via Domain Knowledge Informed Deep Learning
Abstract: Medication recommendation is a fundamental yet crucial branch of healthcare, which provides opportunities to support clinical physicians with more accurate medication prescriptions for patients with complex health conditions. Learnin... | [
31540
] | Train |
27,821 | 6 | Title: CarGameAR: An Integrated AR Car Game Authoring Interface for Custom-Built Car Programed on Arduino Board
Abstract: In this paper, we present CarGameAR: An Integrated AR Car Game Authoring Interface for Custom-Built Car Programed on Arduino Board. The car consists of an Arduino board, an H-bridge, and motors. The... | [
27556
] | Test |
27,822 | 27 | Title: How-to Augmented Lagrangian on Factor Graphs
Abstract: Factor graphs are a very powerful graphical representation, used to model many problems in robotics. They are widely spread in the areas of Simultaneous Localization and Mapping (SLAM), computer vision, and localization. In this paper we describe an approach... | [] | Test |
27,823 | 16 | Title: DiffCollage: Parallel Generation of Large Content with Diffusion Models
Abstract: We present DiffCollage, a compositional diffusion model that can generate large content by leveraging diffusion models trained on generating pieces of the large content. Our approach is based on a factor graph representation where ... | [
17378,
1603,
2921,
4559,
500
] | Test |
27,824 | 38 | Title: Artificial Intelligence in archival and historical scholarship workflow: HTS and ChatGPT
Abstract: This article examines the impact of Artificial Intelligence on the archival heritage digitization processes, specifically regarding the manuscripts' automatic transcription, their correction, and normalization. It ... | [
7136,
25227
] | Train |
27,825 | 27 | Title: RE-MOVE: An Adaptive Policy Design for Robotic Navigation Tasks in Dynamic Environments via Language-Based Feedback
Abstract: Reinforcement learning-based policies for continuous control robotic navigation tasks often fail to adapt to changes in the environment during real-time deployment, which may result in ca... | [
12128,
8084
] | Train |
27,826 | 16 | Title: Fully Bayesian VIB-DeepSSM
Abstract: Statistical shape modeling (SSM) enables population-based quantitative analysis of anatomical shapes, informing clinical diagnosis. Deep learning approaches predict correspondence-based SSM directly from unsegmented 3D images but require calibrated uncertainty quantification,... | [
39262,
11367
] | Train |
27,827 | 16 | Title: S-HR-VQVAE: Sequential Hierarchical Residual Learning Vector Quantized Variational Autoencoder for Video Prediction
Abstract: We address the video prediction task by putting forth a novel model that combines (i) our recently proposed hierarchical residual vector quantized variational autoencoder (HR-VQVAE), and ... | [] | Test |
27,828 | 24 | Title: Benchmarking state-of-the-art gradient boosting algorithms for classification
Abstract: This work explores the use of gradient boosting in the context of classification. Four popular implementations, including original GBM algorithm and selected state-of-the-art gradient boosting frameworks (i.e. XGBoost, LightG... | [] | Train |
27,829 | 24 | Title: Graph Rewriting for Graph Neural Networks
Abstract: Given graphs as input, Graph Neural Networks (GNNs) support the inference of nodes, edges, attributes, or graph properties. Graph Rewriting investigates the rule-based manipulation of graphs to model complex graph transformations. We propose that, therefore, (i... | [] | Train |
27,830 | 16 | Title: Inverting the Imaging Process by Learning an Implicit Camera Model
Abstract: Representing visual signals with implicit coordinate-based neural networks, as an effective replacement of the traditional discrete signal representation, has gained considerable popularity in computer vision and graphics. In contrast t... | [
13232
] | Test |
27,831 | 27 | Title: High-Precise Robot Arm Manipulation based on Online Iterative Learning and Forward Simulation with Positioning Error Below End-Effector Physical Minimum Displacement
Abstract: Precision is a crucial performance indicator for robot arms, as high precision manipulation allows for a wider range of applications. Tra... | [
34265
] | Validation |
27,832 | 6 | Title: SSVEP-Based BCI Wheelchair Control System
Abstract: A brain-computer interface (BCI) is a system that allows a person to communicate or control the surroundings without depending on the brain's normal output pathways of peripheral nerves and muscles. A lot of successful applications have arisen utilizing the adv... | [] | Train |
27,833 | 7 | Title: Probabilistic formulation of Miner's rule and application to structural fatigue
Abstract: The standard stress-based approach to fatigue is based on the use of S-N curves. They are obtained by applying cyclic loading of constant amplitude $S$ to identical and standardised specimens until they fail. The S-N curves... | [] | Train |
27,834 | 16 | Title: Deep Axial Hypercomplex Networks
Abstract: Over the past decade, deep hypercomplex-inspired networks have enhanced feature extraction for image classification by enabling weight sharing across input channels. Recent works make it possible to improve representational capabilities by using hypercomplex-inspired ne... | [
43634,
26444
] | Test |
27,835 | 30 | Title: Advancing Regular Language Reasoning in Linear Recurrent Neural Networks
Abstract: In recent studies, linear recurrent neural networks (LRNNs) have achieved Transformer-level performance in natural language modeling and long-range modeling while offering rapid parallel training and constant inference costs. With... | [
26208,
43201,
45695
] | Train |
27,836 | 5 | Title: Asymptotically Optimal Energy Efficient Offloading Policies in Multi-Access Edge Computing Systems with Task Handover
Abstract: We study energy-efficient offloading strategies in a large-scale MEC system with heterogeneous mobile users and network components. The system is considered with enabled user-task hando... | [] | Train |
27,837 | 23 | Title: Incremental Model Transformations with Triple Graph Grammars for Multi-version Models
Abstract: Like conventional software projects, projects in model-driven software engineering require adequate management of multiple versions of development artifacts, importantly allowing living with temporary inconsistencies.... | [
13888
] | Validation |
27,838 | 4 | Title: RansomAI: AI-powered Ransomware for Stealthy Encryption
Abstract: Cybersecurity solutions have shown promising performance when detecting ransomware samples that use fixed algorithms and encryption rates. However, due to the current explosion of Artificial Intelligence (AI), sooner than later, ransomware (and ma... | [] | Validation |
27,839 | 24 | Title: REFORMS: Reporting Standards for Machine Learning Based Science
Abstract: Machine learning (ML) methods are proliferating in scientific research. However, the adoption of these methods has been accompanied by failures of validity, reproducibility, and generalizability. These failures can hinder scientific progre... | [
30061,
7726
] | Test |
27,840 | 30 | Title: MISMATCH: Fine-grained Evaluation of Machine-generated Text with Mismatch Error Types
Abstract: With the growing interest in large language models, the need for evaluating the quality of machine text compared to reference (typically human-generated) text has become focal attention. Most recent works focus either... | [] | Train |
27,841 | 3 | Title: Pandemic Pedagogy: Evaluating Remote Education Strategies during COVID-19
Abstract: The COVID-19 pandemic precipitated an abrupt shift in the educational landscape, compelling universities to transition from in-person to online instruction. This sudden shift left many university instructors grappling with the in... | [
41537
] | Test |
27,842 | 28 | Title: Covert Communication in Hybrid Microwave/mmWave A2G Systems with Transmission Mode Selection
Abstract: This paper investigates the covert communication in an air-to-ground (A2G) system, where a UAV (Alice) can adopt the omnidirectional microwave (OM) or directional mmWave (DM) transmission mode to transmit cover... | [] | Train |
27,843 | 10 | Title: Markov Decision Processes with Time-Varying Geometric Discounting
Abstract: Canonical models of Markov decision processes (MDPs) usually consider geometric discounting based on a constant discount factor. While this standard modeling approach has led to many elegant results, some recent studies indicate the nece... | [] | Train |
27,844 | 37 | Title: Consistent Query Answering without Repairs in Tables with Nulls and Functional Dependencies
Abstract: In this paper, we study consistent query answering in tables with nulls and functional dependencies. Given such a table T, we consider the set Tuples of all tuples that can be built up from constants appearing i... | [] | Test |
27,845 | 5 | Title: PAseos Simulates the Environment for Operating multiple Spacecraft
Abstract: The next generation of spacecraft is anticipated to enable various new applications involving onboard processing, machine learning and decentralised operational scenarios. Even though many of these have been previously proposed and eval... | [] | Train |
27,846 | 24 | Title: Greener yet Powerful: Taming Large Code Generation Models with Quantization
Abstract: ML-powered code generation aims to assist developers to write code in a more productive manner, by intelligently generating code blocks based on natural language prompts. Recently, large pretrained deep learning models have sub... | [] | Train |
27,847 | 27 | Title: Risk-aware Path Planning via Probabilistic Fusion of Traversability Prediction for Planetary Rovers on Heterogeneous Terrains
Abstract: Machine learning (ML) plays a crucial role in assessing traversability for autonomous rover operations on deformable terrains but suffers from inevitable prediction errors. Espe... | [] | Validation |
27,848 | 24 | Title: Evaluation of Popular XAI Applied to Clinical Prediction Models: Can They be Trusted?
Abstract: The absence of transparency and explainability hinders the clinical adoption of Machine learning (ML) algorithms. Although various methods of explainable artificial intelligence (XAI) have been suggested, there is a l... | [] | Train |
27,849 | 16 | Title: Trace and Pace: Controllable Pedestrian Animation via Guided Trajectory Diffusion
Abstract: We introduce a method for generating realistic pedestrian trajectories and full-body animations that can be controlled to meet user-defined goals. We draw on recent advances in guided diffusion modeling to achieve test-ti... | [
46083,
23824,
37490,
759,
6748
] | Test |
27,850 | 16 | Title: ReGeneration Learning of Diffusion Models with Rich Prompts for Zero-Shot Image Translation
Abstract: Large-scale text-to-image models have demonstrated amazing ability to synthesize diverse and high-fidelity images. However, these models are often violated by several limitations. Firstly, they require the user ... | [
35321,
16103
] | Train |
27,851 | 16 | Title: ReliTalk: Relightable Talking Portrait Generation from a Single Video
Abstract: Recent years have witnessed great progress in creating vivid audio-driven portraits from monocular videos. However, how to seamlessly adapt the created video avatars to other scenarios with different backgrounds and lighting conditio... | [] | Test |
27,852 | 26 | Title: Modeling communication asymmetry and content personalization in online social networks
Abstract: The increasing popularity of online social networks (OSNs) attracted growing interest in modeling social interactions. On online social platforms, a few individuals, commonly referred to as influencers, produce the m... | [] | Train |
27,853 | 30 | Title: WebBrain: Learning to Generate Factually Correct Articles for Queries by Grounding on Large Web Corpus
Abstract: In this paper, we introduce a new NLP task -- generating short factual articles with references for queries by mining supporting evidence from the Web. In this task, called WebBrain, the ultimate goal... | [
43495,
19019,
397,
25303,
41210
] | Train |
27,854 | 27 | Title: Learning Sim-to-Real Dense Object Descriptors for Robotic Manipulation
Abstract: It is crucial to address the following issues for ubiquitous robotics manipulation applications: (a) vision-based manipulation tasks require the robot to visually learn and understand the object with rich information like dense obje... | [
20013
] | Validation |
27,855 | 24 | Title: A Slow Shifting Concerned Machine Learning Method for Short-term Traffic Flow Forecasting
Abstract: The ability to predict traffic flow over time for crowded areas during rush hours is increasingly important as it can help authorities make informed decisions for congestion mitigation or scheduling of infrastruct... | [] | Train |
27,856 | 16 | Title: Attention Consistency Refined Masked Frequency Forgery Representation for Generalizing Face Forgery Detection
Abstract: Due to the successful development of deep image generation technology, visual data forgery detection would play a more important role in social and economic security. Existing forgery detection... | [] | Test |
27,857 | 16 | Title: Soft Neighbors are Positive Supporters in Contrastive Visual Representation Learning
Abstract: Contrastive learning methods train visual encoders by comparing views from one instance to others. Typically, the views created from one instance are set as positive, while views from other instances are negative. This... | [
29787,
10043,
13918,
36639
] | Validation |
27,858 | 16 | Title: Learning Snippet-to-Motion Progression for Skeleton-based Human Motion Prediction
Abstract: Existing Graph Convolutional Networks to achieve human motion prediction largely adopt a one-step scheme, which output the prediction straight from history input, failing to exploit human motion patterns. We observe that ... | [] | Test |
27,859 | 28 | Title: EH Modelling and Achievable Rate for FSO SWIPT Systems with Non-linear Photovoltaic Receivers
Abstract: In this paper, we study optical simultaneous wireless information and power transfer (SWIPT) systems, where a photovoltaic optical receiver (RX) is illuminated by ambient light and an intensity-modulated free ... | [] | Validation |
27,860 | 16 | Title: Exposing the Troublemakers in Described Object Detection
Abstract: Detecting objects based on language descriptions is a popular task that includes Open-Vocabulary object Detection (OVD) and Referring Expression Comprehension (REC). In this paper, we advance them to a more practical setting called Described Obje... | [
20001,
13935,
23570,
27421,
27230,
34943
] | Train |
27,861 | 30 | Title: Document AI: A Comparative Study of Transformer-Based, Graph-Based Models, and Convolutional Neural Networks For Document Layout Analysis
Abstract: Document AI aims to automatically analyze documents by leveraging natural language processing and computer vision techniques. One of the major tasks of Document AI i... | [] | Test |
27,862 | 27 | Title: Cross-domain Transfer Learning and State Inference for Soft Robots via a Semi-supervised Sequential Variational Bayes Framework
Abstract: Recently, data-driven models such as deep neural networks have shown to be promising tools for modelling and state inference in soft robots. However, voluminous amounts of dat... | [
45025
] | Train |
27,863 | 16 | Title: FACET: Fairness in Computer Vision Evaluation Benchmark
Abstract: Computer vision models have known performance disparities across attributes such as gender and skin tone. This means during tasks such as classification and detection, model performance differs for certain classes based on the demographics of the ... | [
15974,
29282,
8470
] | Train |
27,864 | 24 | Title: Generative Sliced MMD Flows with Riesz Kernels
Abstract: Maximum mean discrepancy (MMD) flows suffer from high computational costs in large scale computations. In this paper, we show that MMD flows with Riesz kernels $K(x,y) = - \Vert x-y\Vert^r$, $r \in (0,2)$ have exceptional properties which allow their effic... | [
22196,
3919
] | Train |
27,865 | 4 | Title: BandwidthBreach: Unleashing Covert and Side Channels through Cache Bandwidth Exploitation
Abstract: In the modern CPU architecture, enhancements such as the Line Fill Buffer (LFB) and Super Queue (SQ), which are designed to track pending cache requests, have significantly boosted performance. To exploit this str... | [
22157,
3895
] | Validation |
27,866 | 16 | Title: Can SAM Segment Anything? When SAM Meets Camouflaged Object Detection
Abstract: SAM is a segmentation model recently released by Meta AI Research and has been gaining attention quickly due to its impressive performance in generic object segmentation. However, its ability to generalize to specific scenes such as ... | [
4871,
11551,
16180,
44854,
18360,
23356,
35263,
3782,
38612,
29270,
16728,
20955,
44511,
23266,
14051,
30436,
24549,
25703,
22632,
13674,
5495,
3322
] | Validation |
27,867 | 24 | Title: Using Connected Vehicle Trajectory Data to Evaluate the Effects of Speeding
Abstract: Speeding has been and continues to be a major contributing factor to traffic fatalities. Various transportation agencies have proposed speed management strategies to reduce the amount of speeding on arterials. While there have ... | [] | Test |
27,868 | 30 | Title: Comparing Sentence-Level Suggestions to Message-Level Suggestions in AI-Mediated Communication
Abstract: Traditionally, writing assistance systems have focused on short or even single-word suggestions. Recently, large language models like GPT-3 have made it possible to generate significantly longer natural-sound... | [
35257
] | Train |
27,869 | 39 | Title: Closeness of Some Line Graphs
Abstract: Closeness is an important characteristic of networks. In this article we will calculate the closeness of line graphs of some basic graphs and the closeness of line graphs of connected by a bridge two basic graphs. | [] | Test |
27,870 | 30 | Title: "Definition Modeling: To model definitions." Generating Definitions With Little to No Semantics
Abstract: Definition Modeling, the task of generating definitions, was first proposed as a means to evaluate the semantic quality of word embeddings-a coherent lexical semantic representations of a word in context sho... | [] | Validation |
27,871 | 24 | Title: Incorporating Nonlocal Traffic Flow Model in Physics-informed Neural Networks
Abstract: This research contributes to the advancement of traffic state estimation methods by leveraging the benefits of the nonlocal LWR model within a physics-informed deep learning framework. The classical LWR model, while useful, f... | [
19584,
37078
] | Train |
27,872 | 8 | Title: Measuring a Low-Earth-Orbit Satellite Network
Abstract: Starlink and alike have attracted a lot of attention recently, however, the inner working of these low-earth-orbit (LEO) satellite networks is still largely unknown. This paper presents an ongoing measurement campaign focusing on Starlink, including its sat... | [
30134
] | Test |
27,873 | 2 | Title: Intuitionistic Gödel-Löb logic, à la Simpson: labelled systems and birelational semantics
Abstract: We derive an intuitionistic version of G\"odel-L\"ob modal logic ($\sf{GL}$) in the style of Simpson, via proof theoretic techniques. We recover a labelled system, $\sf{\ell IGL}$, by restricting a non-wellfounded... | [] | Train |
27,874 | 30 | Title: Mitigating Data Scarcity for Large Language Models
Abstract: In recent years, pretrained neural language models (PNLMs) have taken the field of natural language processing by storm, achieving new benchmarks and state-of-the-art performances. These models often rely heavily on annotated data, which may not always... | [] | Train |
27,875 | 16 | Title: Parametric Depth Based Feature Representation Learning for Object Detection and Segmentation in Bird's Eye View
Abstract: Recent vision-only perception models for autonomous driving achieved promising results by encoding multi-view image features into Bird's-Eye-View (BEV) space. A critical step and the main bot... | [] | Validation |
27,876 | 30 | Title: Goodhart's Law Applies to NLP's Explanation Benchmarks
Abstract: Despite the rising popularity of saliency-based explanations, the research community remains at an impasse, facing doubts concerning their purpose, efficacy, and tendency to contradict each other. Seeking to unite the community's efforts around com... | [] | Train |
27,877 | 27 | Title: MRS Drone: A Modular Platform for Real-World Deployment of Aerial Multi-Robot Systems
Abstract: nan | [
4483,
35719,
33675,
35213,
29201,
19735,
38809,
36890,
35630,
38191,
28469,
22599,
4682,
34378,
41935,
33376,
15213,
13049,
45306,
14844,
2431
] | Train |
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