node_id int64 0 76.9k | label int64 0 39 | text stringlengths 13 124k | neighbors listlengths 0 3.32k | mask stringclasses 4
values |
|---|---|---|---|---|
40,678 | 27 | Title: Occupancy Grid Map to Pose Graph-based Map: Robust BIM-based 2D-LiDAR Localization for Lifelong Indoor Navigation in Changing and Dynamic Environments
Abstract: Several studies rely on the de facto standard Adaptive Monte Carlo Localization (AMCL) method to localize a robot in an Occupancy Grid Map (OGM) extract... | [
37834
] | Test |
40,679 | 13 | Title: A Hybrid Genetic Algorithm with Type-Aware Chromosomes for Traveling Salesman Problems with Drone
Abstract: There are emerging transportation problems known as the Traveling Salesman Problem with Drone (TSPD) and the Flying Sidekick Traveling Salesman Problem (FSTSP) that involve the use of a drone in conjunctio... | [] | Train |
40,680 | 28 | Title: Achievable Rate Region and Path-Based Beamforming for Multi-User Single-Carrier Delay Alignment Modulation
Abstract: Delay alignment modulation (DAM) is a novel wideband transmission technique for mmWave massive MIMO systems, which exploits the high spatial resolution and multi-path sparsity to mitigate ISI, wit... | [] | Train |
40,681 | 16 | Title: Industrial and Medical Anomaly Detection Through Cycle-Consistent Adversarial Networks
Abstract: In this study, a new Anomaly Detection (AD) approach for real-world images is proposed. This method leverages the theoretical strengths of unsupervised learning and the data availability of both normal and abnormal c... | [] | Train |
40,682 | 16 | Title: Training with Product Digital Twins for AutoRetail Checkout
Abstract: Automating the checkout process is important in smart retail, where users effortlessly pass products by hand through a camera, triggering automatic product detection, tracking, and counting. In this emerging area, due to the lack of annotated ... | [] | Validation |
40,683 | 16 | Title: CVTP3D: Cross-view Trajectory Prediction Using Shared 3D Queries for Autonomous Driving
Abstract: Trajectory prediction with uncertainty is a critical and challenging task for autonomous driving. Nowadays, we can easily access sensor data represented in multiple views. However, cross-view consistency has not bee... | [] | Train |
40,684 | 22 | Title: The Design Principles of the Elixir Type System
Abstract: Elixir is a dynamically-typed functional language running on the Erlang Virtual Machine, designed for building scalable and maintainable applications. Its characteristics have earned it a surging adoption by hundreds of industrial actors and tens of thous... | [
36363
] | Test |
40,685 | 23 | Title: Requirements Elicitation and Modelling of Artificial Intelligence Systems: An Empirical Study
Abstract: Artificial Intelligence (AI) systems have gained significant traction in the recent past, creating new challenges in requirements engineering (RE) when building AI software systems. RE for AI practices have no... | [
3721,
8238
] | Test |
40,686 | 24 | Title: Learning for Interval Prediction of Electricity Demand: A Cluster-based Bootstrapping Approach
Abstract: Accurate predictions of electricity demands are necessary for managing operations in a small aggregation load setting like a Microgrid. Due to low aggregation, the electricity demands can be highly stochastic... | [] | Train |
40,687 | 23 | Title: Timed Model-Based Mutation Operators for Simulink Models
Abstract: Model-based mutation analysis is a recent research area, and real-time system testing can benefit from using model mutants. Model-based mutation testing (MBMT) is a particular branch of model-based testing. It generates faulty versions of a model ... | [] | Train |
40,688 | 30 | Title: ChatGPT and Bard Responses to Polarizing Questions
Abstract: Recent developments in natural language processing have demonstrated the potential of large language models (LLMs) to improve a range of educational and learning outcomes. Of recent chatbots based on LLMs, ChatGPT and Bard have made it clear that artif... | [] | Test |
40,689 | 6 | Title: Don't Peek at My Chart: Privacy‐preserving Visualization for Mobile Devices
Abstract: Data visualizations have been widely used on mobile devices like smartphones for various tasks (e.g., visualizing personal health and financial data), making it convenient for people to view such data anytime and anywhere. Howe... | [] | Train |
40,690 | 10 | Title: Exploring the Relevance of Data Privacy-Enhancing Technologies for AI Governance Use Cases
Abstract: The development of privacy-enhancing technologies has made immense progress in reducing trade-offs between privacy and performance in data exchange and analysis. Similar tools for structured transparency could be... | [
13082,
45563,
44666,
5071
] | Train |
40,691 | 30 | Title: Quantifying Context Mixing in Transformers
Abstract: Self-attention weights and their transformed variants have been the main source of information for analyzing token-to-token interactions in Transformer-based models. But despite their ease of interpretation, these weights are not faithful to the models’ decisi... | [
43426,
24134,
20038,
43667,
33365
] | Train |
40,692 | 16 | Title: Open Problems in Computer Vision for Wilderness SAR and The Search for Patricia Wu-Murad
Abstract: This paper details the challenges in applying two computer vision systems, an EfficientDET supervised learning model and the unsupervised RX spectral classifier, to 98.9 GB of drone imagery from the Wu-Murad wilder... | [
5496,
4468
] | Train |
40,693 | 30 | Title: Towards Measuring the Representation of Subjective Global Opinions in Language Models
Abstract: Large language models (LLMs) may not equitably represent diverse global perspectives on societal issues. In this paper, we develop a quantitative framework to evaluate whose opinions model-generated responses are more... | [
17920,
4546,
12067,
8580,
28151,
22374,
39295,
24841,
37674,
40330,
32567,
846,
7956,
30261,
13495,
37343
] | Test |
40,694 | 23 | Title: Horizontal Scaling of Transaction-Creating Machines
Abstract: Blockchain technology has become one of the most popular trends in IT over the last few years. Its increasing popularity and the discovery of ever more use cases raises the question of how to improve scalability. While researchers are exploring ways t... | [] | Train |
40,695 | 15 | Title: KAPLA: Pragmatic Representation and Fast Solving of Scalable NN Accelerator Dataflow
Abstract: Dataflow scheduling decisions are of vital importance to neural network (NN) accelerators. Recent scalable NN accelerators support a rich set of advanced dataflow techniques. The problems of comprehensively representin... | [] | Train |
40,696 | 24 | Title: Tangent Model Composition for Ensembling and Continual Fine-tuning
Abstract: Tangent Model Composition (TMC) is a method to combine component models independently fine-tuned around a pre-trained point. Component models are tangent vectors to the pre-trained model that can be added, scaled, or subtracted to suppo... | [
5384,
14501
] | Train |
40,697 | 16 | Title: Variational Relational Point Completion Network for Robust 3D Classification
Abstract: Real-scanned point clouds are often incomplete due to viewpoint, occlusion, and noise, which hampers 3D geometric modeling and perception. Existing point cloud completion methods tend to generate global shape skeletons and hen... | [
10907
] | Test |
40,698 | 16 | Title: VGOS: Voxel Grid Optimization for View Synthesis from Sparse Inputs
Abstract: Neural Radiance Fields (NeRF) has shown great success in novel view synthesis due to its state-of-the-art quality and flexibility. However, NeRF requires dense input views (tens to hundreds) and a long training time (hours to days) for... | [] | Train |
40,699 | 16 | Title: Mixed Autoencoder for Self-Supervised Visual Representation Learning
Abstract: Masked Autoencoder (MAE) has demonstrated superior performance on various vision tasks via randomly masking image patches and reconstruction. However, effective data augmentation strategies for MAE still remain open questions, differe... | [
37977,
9620,
25159
] | Validation |
40,700 | 16 | Title: SAMMed: A medical image annotation framework based on large vision model
Abstract: Recently, large vision model, Segment Anything Model (SAM), has revolutionized the computer vision field, especially for image segmentation. SAM presented a new promptable segmentation paradigm that exhibit its remarkable zero-sho... | [
5864,
45546,
44854,
29270
] | Test |
40,701 | 24 | Title: Neural Auctions Compromise Bidder Information
Abstract: Single-shot auctions are commonly used as a means to sell goods, for example when selling ad space or allocating radio frequencies, however devising mechanisms for auctions with multiple bidders and multiple items can be complicated. It has been shown that ... | [] | Train |
40,702 | 27 | Title: ROSGPT_Vision: Commanding Robots Using Only Language Models' Prompts
Abstract: In this paper, we argue that the next generation of robots can be commanded using only Language Models' prompts. Every prompt interrogates separately a specific Robotic Modality via its Modality Language Model (MLM). A central Task Mo... | [
40192,
37987,
33220,
295,
41104,
17875,
15415
] | Validation |
40,703 | 16 | Title: Joint Level Generation and Translation Using Gameplay Videos
Abstract: Procedural Content Generation via Machine Learning (PCGML) faces a significant hurdle that sets it apart from other fields, such as image or text generation, which is limited annotated data. Many existing methods for procedural level generati... | [] | Test |
40,704 | 34 | Title: Two Parallel PageRank Algorithms via Improving Forward Push
Abstract: Initially used to rank web pages, PageRank has now been applied in many fields. With the growing scale of graph, accelerating PageRank computing is urged and designing parallel algorithm is a feasible solution. In this paper, two parallel Page... | [] | Train |
40,705 | 16 | Title: A Transformer-based Approach for Arabic Offline Handwritten Text Recognition
Abstract: Handwriting recognition is a challenging and critical problem in the fields of pattern recognition and machine learning, with applications spanning a wide range of domains. In this paper, we focus on the specific issue of reco... | [] | Validation |
40,706 | 28 | Title: Cooperative Task-Oriented Communication for Multi-Modal Data with Transmission Control
Abstract: Real-time intelligence applications in Internet of Things (IoT) environment depend on timely data communication. However, it is challenging to transmit and analyse massive data of various modalities. Recently propose... | [] | Train |
40,707 | 10 | Title: Épilexie: A digital therapeutic approach for treating intractable epilepsy via Amenable Neurostimulation
Abstract: Epilepsy is a neurological illness that is characterised by continuous spasms of shaking, sometimes known as convulsions. Although there are effective treatments for epilepsy, such as drugs and surg... | [] | Validation |
40,708 | 16 | Title: CDFSL-V: Cross-Domain Few-Shot Learning for Videos
Abstract: Few-shot video action recognition is an effective approach to recognizing new categories with only a few labeled examples, thereby reducing the challenges associated with collecting and annotating large-scale video datasets. Existing methods in video a... | [] | Train |
40,709 | 16 | Title: Efficient Teacher: Semi-Supervised Object Detection for YOLOv5
Abstract: Semi-Supervised Object Detection (SSOD) has been successful in improving the performance of both R-CNN series and anchor-free detectors. However, one-stage anchor-based detectors lack the structure to generate high-quality or flexible pseud... | [] | Validation |
40,710 | 24 | Title: Weighted Unsupervised Domain Adaptation Considering Geometry Features and Engineering Performance of 3D Design Data
Abstract: The product design process in manufacturing involves iterative design modeling and analysis to achieve the target engineering performance, but such an iterative process is time consuming ... | [] | Train |
40,711 | 6 | Title: Summaries, Highlights, and Action items: Design, implementation and evaluation of an LLM-powered meeting recap system
Abstract: Meetings play a critical infrastructural role in the coordination of work. In recent years, due to shift to hybrid and remote work, more meetings are moving to online Computer Mediated ... | [] | Train |
40,712 | 28 | Title: Multicast Transmission Design with Enhanced DoF for MIMO Coded Caching Systems
Abstract: Integrating coded caching (CC) techniques into multi-input multi-output (MIMO) setups provides a substantial performance boost in terms of the achievable degrees of freedom (DoF). In this paper, we study cache-aided MIMO set... | [] | Validation |
40,713 | 16 | Title: Benchmarking Robustness to Text-Guided Corruptions
Abstract: This study investigates the robustness of image classifiers to text-guided corruptions. We utilize diffusion models to edit images to different domains. Unlike other works that use synthetic or hand-picked data for benchmarking, we use diffusion models... | [] | Validation |
40,714 | 16 | Title: On the Effectiveness of Out-of-Distribution Data in Self-Supervised Long-Tail Learning
Abstract: Though Self-supervised learning (SSL) has been widely studied as a promising technique for representation learning, it doesn't generalize well on long-tailed datasets due to the majority classes dominating the featur... | [
18280,
23954,
40738
] | Validation |
40,715 | 6 | Title: Augmenting a Firefighters PPE - Gas Mask SCBA
Abstract: PPE (Personal Protective Equipment) has allowed firefighters to perform their everyday tasks without getting harmed since the mid 1800s. Now, the advancement of technology has given rise to the improvements of PPE. PPE can now include sensors to detect any ... | [] | Train |
40,716 | 27 | Title: Bayesian Learning for the Robust Verification of Autonomous Robots
Abstract: We develop a novel Bayesian learning framework that enables the runtime verification of autonomous robots performing critical missions in uncertain environments. Our framework exploits prior knowledge and observations of the verified ro... | [] | Train |
40,717 | 16 | Title: Retro-FPN: Retrospective Feature Pyramid Network for Point Cloud Semantic Segmentation
Abstract: Learning per-point semantic features from the hierarchical feature pyramid is essential for point cloud semantic segmentation. However, most previous methods suffered from ambiguous region features or failed to refin... | [
17217,
26565,
22006,
36527
] | Test |
40,718 | 16 | Title: The XPRESS Challenge: Xray Projectomic Reconstruction - Extracting Segmentation with Skeletons
Abstract: The wiring and connectivity of neurons form a structural basis for the function of the nervous system. Advances in volume electron microscopy (EM) and image segmentation have enabled mapping of circuit diagra... | [] | Train |
40,719 | 30 | Title: Neurons in Large Language Models: Dead, N-gram, Positional
Abstract: We analyze a family of large language models in such a lightweight manner that can be done on a single GPU. Specifically, we focus on the OPT family of models ranging from 125m to 66b parameters and rely only on whether an FFN neuron is activat... | [
32227,
24134,
29396,
6932,
33365
] | Test |
40,720 | 9 | Title: Perspective on complexity measures targetting read-once branching programs
Abstract: A model of computation for which reasonable yet still incomplete lower bounds are known is the read-once branching program. Here variants of complexity measures successful in the study of read-once branching programs are defined... | [] | Test |
40,721 | 16 | Title: EigenPlaces: Training Viewpoint Robust Models for Visual Place Recognition
Abstract: Visual Place Recognition is a task that aims to predict the place of an image (called query) based solely on its visual features. This is typically done through image retrieval, where the query is matched to the most similar ima... | [
30875
] | Train |
40,722 | 25 | Title: Complete and Separate: Conditional Separation with Missing Target Source Attribute Completion
Abstract: Recent approaches in source separation leverage semantic information about their input mixtures and constituent sources that when used in conditional separation models can achieve impressive performance. Most ... | [
34550
] | Test |
40,723 | 16 | Title: Erasing, Transforming, and Noising Defense Network for Occluded Person Re-Identification
Abstract: Occlusion perturbation presents a significant challenge in person re-identification (re-ID), and existing methods that rely on external visual cues require additional computational resources and only consider the i... | [
16767
] | Validation |
40,724 | 27 | Title: FlowMap: Path Generation for Automated Vehicles in Open Space Using Traffic Flow
Abstract: There is extensive literature on perceiving road structures by fusing various sensor inputs such as lidar point clouds and camera images using deep neural nets. Leveraging the latest advance of neural architects (such as t... | [
20792
] | Validation |
40,725 | 24 | Title: Reward Collapse in Aligning Large Language Models
Abstract: The extraordinary capabilities of large language models (LLMs) such as ChatGPT and GPT-4 are in part unleashed by aligning them with reward models that are trained on human preferences, which are often represented as rankings of responses to prompts. In... | [
26673,
45923,
33220
] | Test |
40,726 | 24 | Title: Xtal2DoS: Attention-based Crystal to Sequence Learning for Density of States Prediction
Abstract: Modern machine learning techniques have been extensively applied to materials science, especially for property prediction tasks. A majority of these methods address scalar property predictions, while more challengin... | [] | Train |
40,727 | 24 | Title: Tensor Networks Meet Neural Networks: A Survey and Future Perspectives
Abstract: Tensor networks (TNs) and neural networks (NNs) are two fundamental data modeling approaches. TNs were introduced to solve the curse of dimensionality in large-scale tensors by converting an exponential number of dimensions to polyn... | [
33018,
33220
] | Validation |
40,728 | 16 | Title: Adapting Segment Anything Model for Change Detection in HR Remote Sensing Images
Abstract: Vision Foundation Models (VFMs) such as the Segment Anything Model (SAM) allow zero-shot or interactive segmentation of visual contents, thus they are quickly applied in a variety of visual scenes. However, their direct us... | [
17633,
3782,
42599,
31346,
33944
] | Validation |
40,729 | 28 | Title: Deep Unfolding Hybrid Beamforming Designs for THz Massive MIMO Systems
Abstract: Hybrid beamforming (HBF) is a key enabler for wideband terahertz (THz) massive multiple-input multiple-output (mMIMO) communications systems. A core challenge with designing HBF systems stems from the fact their application often in... | [
32646,
26351
] | Test |
40,730 | 4 | Title: Boosting Big Brother: Attacking Search Engines with Encodings
Abstract: Search engines are vulnerable to attacks against indexing and searching via text encoding manipulation. By imperceptibly perturbing text using uncommon encoded representations, adversaries can control results across search engines for specif... | [
33220
] | Train |
40,731 | 28 | Title: Energy-Efficient URLLC Service Provision via a Near-Space Information Network
Abstract: The integration of a near-space information network (NSIN) with the reconfigurable intelligent surface (RIS) is envisioned to significantly enhance the communication performance of future wireless communication systems by pro... | [] | Train |
40,732 | 27 | Title: Design of Bistable Soft Deployable Structures via a Kirigami‐Inspired Planar Fabrication Approach
Abstract: Fully soft bistable mechanisms have shown extensive applications ranging from soft robotics, wearable devices, and medical tools, to energy harvesting. However, the lack of design and fabrication methods t... | [] | Test |
40,733 | 16 | Title: Devil is in Channels: Contrastive Single Domain Generalization for Medical Image Segmentation
Abstract: Deep learning-based medical image segmentation models suffer from performance degradation when deployed to a new healthcare center. To address this issue, unsupervised domain adaptation and multi-source domain... | [
8784
] | Train |
40,734 | 16 | Title: Rethinking Image Forgery Detection via Contrastive Learning and Unsupervised Clustering
Abstract: Image forgery detection aims to detect and locate forged regions in an image. Most existing forgery detection algorithms formulate classification problems to classify pixels into forged or pristine. However, the def... | [] | Train |
40,735 | 30 | Title: Accelerated materials language processing enabled by GPT
Abstract: Materials language processing (MLP) is one of the key facilitators of materials science research, as it enables the extraction of structured information from massive materials science literature. Prior works suggested high-performance MLP models ... | [
17939,
23252,
25071
] | Train |
40,736 | 30 | Title: "HOT" ChatGPT: The promise of ChatGPT in detecting and discriminating hateful, offensive, and toxic comments on social media
Abstract: Harmful content is pervasive on social media, poisoning online communities and negatively impacting participation. A common approach to address this issue is to develop detection... | [
4996,
9252,
28555,
43566,
21455,
29072,
26357,
39642
] | Validation |
40,737 | 4 | Title: SecBeam: Securing mmWave Beam Alignment against Beam-Stealing Attacks
Abstract: Millimeter wave (mmWave) communications employ narrow-beam directional communications to compensate for the high path loss at mmWave frequencies. Compared to their omnidirectional counterparts, an additional step of aligning the tran... | [] | Train |
40,738 | 24 | Title: HeroLT: Benchmarking Heterogeneous Long-Tailed Learning
Abstract: Long-tailed data distributions are prevalent in a variety of domains, including finance, e-commerce, biomedical science, and cyber security. In such scenarios, the performance of machine learning models is often dominated by the head categories, w... | [
40714,
23547
] | Test |
40,739 | 26 | Title: Unbiased Library of k-regular, n-sized, Connected, Small Graphs
Abstract: The past decade highlighted the usefulness of social network simulations that run on k-regular, n-size, connected graphs. These can be seen as small-scale models of human social networks of large societies. By narrowing down onto k-regular... | [
15062
] | Test |
40,740 | 16 | Title: FeSViBS: Federated Split Learning of Vision Transformer with Block Sampling
Abstract: Data scarcity is a significant obstacle hindering the learning of powerful machine learning models in critical healthcare applications. Data-sharing mechanisms among multiple entities (e.g., hospitals) can accelerate model trai... | [] | Train |
40,741 | 24 | Title: Performance Analysis for Resource Constrained Decentralized Federated Learning Over Wireless Networks
Abstract: Federated learning (FL) can lead to significant communication overhead and reliance on a central server. To address these challenges, decentralized federated learning (DFL) has been proposed as a more ... | [] | Train |
40,742 | 16 | Title: Multi-view Cross-Modality MR Image Translation for Vestibular Schwannoma and Cochlea Segmentation
Abstract: In this work, we propose a multi-view image translation framework, which can translate contrast-enhanced T1 (ceT1) MR imaging to high-resolution T2 (hrT2) MR imaging for unsupervised vestibular schwannoma ... | [] | Train |
40,743 | 31 | Title: PEPNet: Parameter and Embedding Personalized Network for Infusing with Personalized Prior Information
Abstract: With the increase of content pages and interactive buttons in online services such as online-shopping and video-watching websites, industrial-scale recommender systems face challenges in multi-domain a... | [
44387,
13861,
27660,
32079,
18641,
39605
] | Train |
40,744 | 17 | Title: SceneHGN: Hierarchical Graph Networks for 3D Indoor Scene Generation With Fine-Grained Geometry
Abstract: 3D indoor scenes are widely used in computer graphics, with applications ranging from interior design to gaming to virtual and augmented reality. They also contain rich information, including room layout, as... | [] | Train |
40,745 | 30 | Title: Towards Grammatical Tagging for the Legal Language of Cybersecurity
Abstract: Legal language can be understood as the language typically used by those engaged in the legal profession and, as such, it may come both in spoken or written form. Recent legislation on cybersecurity obviously uses legal language in wri... | [] | Train |
40,746 | 9 | Title: Towards Optimal Depth-Reductions for Algebraic Formulas
Abstract: Classical results of Brent, Kuck and Maruyama (IEEE Trans. Computers 1973) and Brent (JACM 1974) show that any algebraic formula of size s can be converted to one of depth O(log s) with only a polynomial blow-up in size. In this paper, we consider... | [] | Test |
40,747 | 17 | Title: Neural Shape Diameter Function for Efficient Mesh Segmentation
Abstract: Partitioning a polygonal mesh into meaningful parts can be challenging. Many applications require decomposing such structures for further processing in computer graphics. In the last decade, several methods were proposed to tackle this prob... | [] | Test |
40,748 | 15 | Title: PDPU: An Open-Source Posit Dot-Product Unit for Deep Learning Applications
Abstract: Posit has been a promising alternative to the IEEE-754 floating point format for deep learning applications due to its better trade-off between dynamic range and accuracy. However, hardware implementation of posit arithmetic req... | [
12423
] | Train |
40,749 | 16 | Title: HRTransNet: HRFormer-Driven Two-Modality Salient Object Detection
Abstract: The High-Resolution Transformer (HRFormer) can maintain high-resolution representation and share global receptive fields. It is friendly towards salient object detection (SOD) in which the input and output have the same resolution. Howev... | [
16030
] | Train |
40,750 | 16 | Title: Uncovering the Unseen: Discover Hidden Intentions by Micro-Behavior Graph Reasoning
Abstract: This paper introduces a new and challenging Hidden Intention Discovery (HID) task. Unlike existing intention recognition tasks, which are based on obvious visual representations to identify common intentions for normal ... | [] | Train |
40,751 | 16 | Title: High-Performance Fine Defect Detection in Artificial Leather Using Dual Feature Pool Object Detection
Abstract: In this study, the structural problems of the YOLOv5 model were analyzed emphatically. Based on the characteristics of fine defects in artificial leather, four innovative structures, namely DFP, IFF, A... | [] | Train |
40,752 | 27 | Title: Learning to Predict Grip Quality from Simulation: Establishing a Digital Twin to Generate Simulated Data for a Grip Stability Metric
Abstract: A robust grip is key to successful manipulation and joining of work pieces involved in any industrial assembly process. Stability of a grip depends on geometric and physi... | [] | Train |
40,753 | 16 | Title: SSIG: A Visually-Guided Graph Edit Distance for Floor Plan Similarity
Abstract: We propose a simple yet effective metric that measures structural similarity between visual instances of architectural floor plans, without the need for learning. Qualitatively, our experiments show that the retrieval results are sim... | [] | Train |
40,754 | 16 | Title: Network Pruning Spaces
Abstract: Network pruning techniques, including weight pruning and filter pruning, reveal that most state-of-the-art neural networks can be accelerated without a significant performance drop. This work focuses on filter pruning which enables accelerated inference with any off-the-shelf dee... | [] | Train |
40,755 | 24 | Title: A review of ensemble learning and data augmentation models for class imbalanced problems: combination, implementation and evaluation
Abstract: Class imbalance (CI) in classification problems arises when the number of observations belonging to one class is lower than the other classes. Ensemble learning that comb... | [] | Train |
40,756 | 16 | Title: Screentone-Aware Manga Super-Resolution Using DeepLearning
Abstract: Manga, as a widely beloved form of entertainment around the world, have shifted from paper to electronic screens with the proliferation of handheld devices. However, as the demand for image quality increases with screen development, high-qualit... | [] | Train |
40,757 | 16 | Title: Training-free Diffusion Model Adaptation for Variable-Sized Text-to-Image Synthesis
Abstract: Diffusion models (DMs) have recently gained attention with state-of-the-art performance in text-to-image synthesis. Abiding by the tradition in deep learning, DMs are trained and evaluated on the images with fixed sizes... | [] | Train |
40,758 | 20 | Title: From Curves to Words and Back Again: Geometric Computation of Minimum-Area Homotopy
Abstract: nan | [] | Train |
40,759 | 36 | Title: Social Surplus Maximization in Sponsored Search Auctions Requires Communication
Abstract: We show that computing the optimal social surplus requires $\Omega(mn)$ bits of communication between the website and the bidders in a sponsored search auction with $n$ slots on the website and with tick size of $2^{-m}$ in... | [] | Test |
40,760 | 4 | Title: FlexiChain 2.0: NodeChain Assisting Integrated Decentralized Vault for Effective Data Authentication and Device Integrity in Complex Cyber-Physical Systems
Abstract: Distributed Ledger Technology (DLT) has been introduced using the most common consensus algorithm either for an electronic cash system or a decentr... | [] | Validation |
40,761 | 13 | Title: A Neural Network Implementation for Free Energy Principle
Abstract: The free energy principle (FEP), as an encompassing framework and a unified brain theory, has been widely applied to account for various problems in fields such as cognitive science, neuroscience, social interaction, and hermeneutics. As a compu... | [] | Test |
40,762 | 22 | Title: Automated Sensitivity Analysis for Probabilistic Loops
Abstract: We present an exact approach to analyze and quantify the sensitivity of higher moments of probabilistic loops with symbolic parameters, polynomial arithmetic and potentially uncountable state spaces. Our approach integrates methods from symbolic co... | [] | Train |
40,763 | 10 | Title: CISum: Learning Cross-modality Interaction to Enhance Multimodal Semantic Coverage for Multimodal Summarization
Abstract: Multimodal summarization (MS) aims to generate a summary from multimodal input. Previous works mainly focus on textual semantic coverage metrics such as ROUGE, which considers the visual cont... | [] | Train |
40,764 | 24 | Title: ParticleWNN: a Novel Neural Networks Framework for Solving Partial Differential Equations
Abstract: Deep neural networks (DNNs) have been widely used to solve partial differential equations (PDEs) in recent years. In this work, a novel deep learning-based framework named Particle Weak-form based Neural Networks ... | [] | Validation |
40,765 | 25 | Title: A Preliminary Study on Augmenting Speech Emotion Recognition using a Diffusion Model
Abstract: In this paper, we propose to utilise diffusion models for data augmentation in speech emotion recognition (SER). In particular, we present an effective approach to utilise improved denoising diffusion probabilistic mod... | [
45176,
11929,
1870
] | Test |
40,766 | 27 | Title: Zespol: A Lightweight Environment for Training Swarming Agents
Abstract: Agent-based modeling (ABM) and simulation have emerged as important tools for studying emergent behaviors, especially in the context of swarming algorithms for robotic systems. Despite significant research in this area, there is a lack of s... | [
3246
] | Test |
40,767 | 24 | Title: Combining Stochastic Explainers and Subgraph Neural Networks can Increase Expressivity and Interpretability
Abstract: Subgraph-enhanced graph neural networks (SGNN) can increase the expressive power of the standard message-passing framework. This model family represents each graph as a collection of subgraphs, g... | [] | Train |
40,768 | 24 | Title: Can we Agree? On the Rash\=omon Effect and the Reliability of Post-Hoc Explainable AI
Abstract: The Rash\=omon effect poses challenges for deriving reliable knowledge from machine learning models. This study examined the influence of sample size on explanations from models in a Rash\=omon set using SHAP. Experim... | [] | Train |
40,769 | 28 | Title: A Novel Dual Predictors Framework of PEE
Abstract: In this paper, we propose a improved 2D-PEH based on double prediction-error. First,different from previous 2D-PEH, the proposed 2D-DPEH is established by selecting two distinct predictors with low correlation to calculate double prediction errors for each pixel... | [] | Train |
40,770 | 3 | Title: The Flawed Foundations of Fair Machine Learning
Abstract: The definition and implementation of fairness in automated decisions has been extensively studied by the research community. Yet, there hides fallacious reasoning, misleading assertions, and questionable practices at the foundations of the current fair ma... | [] | Test |
40,771 | 16 | Title: NoiseTrans: Point Cloud Denoising with Transformers
Abstract: Point clouds obtained from capture devices or 3D reconstruction techniques are often noisy and interfere with downstream tasks. The paper aims to recover the underlying surface of noisy point clouds. We design a novel model, NoiseTrans, which uses tra... | [] | Validation |
40,772 | 20 | Title: Circle packing in arbitrary domains
Abstract: We describe an algorithm that allows one to find dense packing configurations of a number of congruent disks in arbitrary domains in two or more dimensions. We have applied it to a large class of two dimensional domains such as rectangles, ellipses, crosses, multiply... | [] | Test |
40,773 | 28 | Title: Codebook Configuration for 1-bit RIS-aided Systems Based on Implicit Neural Representations
Abstract: Reconfigurable intelligent surfaces (RISs) have become one of the key technologies in 6G wireless communications. By configuring the reflection beamforming codebooks, RIS focuses signals on target receivers. In ... | [] | Train |
40,774 | 24 | Title: A Guide Through the Zoo of Biased SGD
Abstract: Stochastic Gradient Descent (SGD) is arguably the most important single algorithm in modern machine learning. Although SGD with unbiased gradient estimators has been studied extensively over at least half a century, SGD variants relying on biased estimators are rar... | [] | Train |
40,775 | 30 | Title: Large Language Models Perform Diagnostic Reasoning
Abstract: We explore the extension of chain-of-thought (CoT) prompting to medical reasoning for the task of automatic diagnosis. Motivated by doctors' underlying reasoning process, we present Diagnostic-Reasoning CoT (DR-CoT). Empirical results demonstrate that ... | [] | Validation |
40,776 | 16 | Title: CLIPMasterPrints: Fooling Contrastive Language-Image Pre-training Using Latent Variable Evolution
Abstract: Models leveraging both visual and textual data such as Contrastive Language-Image Pre-training (CLIP), are increasingly gaining importance. In this work, we show that despite their versatility, such models... | [] | Train |
40,777 | 27 | Title: Grounding Classical Task Planners via Vision-Language Models
Abstract: Classical planning systems have shown great advances in utilizing rule-based human knowledge to compute accurate plans for service robots, but they face challenges due to the strong assumptions of perfect perception and action executions. To ... | [
33715,
13564,
3398,
38083
] | Train |
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