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|---|---|---|---|---|
18,978 | 28 | Title: A Framework for the Evaluation of Network Reliability Under Periodic Demand
Abstract: —In this paper, we study network reliability in relation to a periodic time-dependent utility function that reflects the system’s functional performance. When an anomaly occurs, the system incurs a loss of utility that depends o... | [] | Train |
18,979 | 27 | Title: On discrete symmetries of robotics systems: A group-theoretic and data-driven analysis
Abstract: We present a comprehensive study on discrete morphological symmetries of dynamical systems, which are commonly observed in biological and artificial locomoting systems, such as legged, swimming, and flying animals/ro... | [] | Validation |
18,980 | 24 | Title: Privacy Distillation: Reducing Re-identification Risk of Multimodal Diffusion Models
Abstract: Knowledge distillation in neural networks refers to compressing a large model or dataset into a smaller version of itself. We introduce Privacy Distillation, a framework that allows a text-to-image generative model to ... | [
10056,
45104,
8308,
3413,
15061,
34074
] | Train |
18,981 | 16 | Title: CP3: Channel Pruning Plug-in for Point-Based Networks
Abstract: Channel pruning can effectively reduce both computational cost and memory footprint of the original network while keeping a comparable accuracy performance. Though great success has been achieved in channel pruning for 2D image-based convolutional n... | [] | Test |
18,982 | 26 | Title: The Iterated Local Transitivity Model for Tournaments
Abstract: A key generative principle within social and other complex networks is transitivity, where friends of friends are more likely friends. We propose a new model for highly dense complex networks based on transitivity, called the Iterated Local Transiti... | [] | Validation |
18,983 | 17 | Title: Robust Surface Reconstruction from Orthogonal Slices
Abstract: The surface reconstruction problem from sets of planar parallel slices representing cross sections through 3D objects is presented. The final result of surface reconstruction is always based on the correct estimation of the structure of the original ... | [] | Test |
18,984 | 23 | Title: Trustworthy and Synergistic Artificial Intelligence for Software Engineering: Vision and Roadmaps
Abstract: For decades, much software engineering research has been dedicated to devising automated solutions aimed at enhancing developer productivity and elevating software quality. The past two decades have witnes... | [
3332,
12170,
34843,
2219,
10548,
34493,
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34243,
33220,
17606,
28112,
43353,
16987,
7132,
17523,
36724,
26997,
40565,
40436
] | Train |
18,985 | 10 | Title: Shrinking the Inductive Programming Search Space with Instruction Subsets
Abstract: Inductive programming frequently relies on some form of search in order to identify candidate solutions. However, the size of the search space limits the use of inductive programming to the production of relatively small programs... | [
2646
] | Train |
18,986 | 16 | Title: CoNIC Challenge: Pushing the Frontiers of Nuclear Detection, Segmentation, Classification and Counting
Abstract: Nuclear detection, segmentation and morphometric profiling are essential in helping us further understand the relationship between histology and patient outcome. To drive innovation in this area, we s... | [] | Train |
18,987 | 24 | Title: A Blackbox Model Is All You Need to Breach Privacy: Smart Grid Forecasting Models as a Use Case
Abstract: This paper investigates the potential privacy risks associated with forecasting models, with specific emphasis on their application in the context of smart grids. While machine learning and deep learning alg... | [] | Test |
18,988 | 27 | Title: Music Mode: Transforming Robot Movement into Music Increases Likability and Perceived Intelligence
Abstract: As robots enter everyday spaces like offices, the sounds they create affect how they are perceived. We present"Music Mode", a novel mapping between a robot's joint motions and sounds, programmed by artist... | [] | Train |
18,989 | 16 | Title: MulGT: Multi-task Graph-Transformer with Task-aware Knowledge Injection and Domain Knowledge-driven Pooling for Whole Slide Image Analysis
Abstract: Whole slide image (WSI) has been widely used to assist automated diagnosis under the deep learning fields. However, most previous works only discuss the SINGLE task... | [] | Train |
18,990 | 24 | Title: Hidden Classification Layers: a study on Data Hidden Representations with a Higher Degree of Linear Separability between the Classes
Abstract: In the context of classification problems, Deep Learning (DL) approaches represent state of art. Many DL approaches are based on variations of standard multi-layer feed-f... | [] | Train |
18,991 | 30 | Title: Fine-Tuning Llama 2 Large Language Models for Detecting Online Sexual Predatory Chats and Abusive Texts
Abstract: Detecting online sexual predatory behaviours and abusive language on social media platforms has become a critical area of research due to the growing concerns about online safety, especially for vuln... | [
33953,
44482,
13700,
33220,
109,
27282,
43641,
32635
] | Train |
18,992 | 16 | Title: PREIM3D: 3D Consistent Precise Image Attribute Editing from a Single Image
Abstract: We study the 3D-aware image attribute editing problem in this paper, which has wide applications in practice. Recent methods solved the problem by training a shared encoder to map images into a 3D generator's latent space or by ... | [] | Train |
18,993 | 5 | Title: Relay Mining: Verifiable Multi-Tenant Distributed Rate Limiting
Abstract: Relay Mining presents a scalable solution employing probabilistic mechanisms and crypto-economic incentives to estimate RPC volume usage, facilitating decentralized multi-tenant rate limiting. Network traffic from individual applications c... | [] | Test |
18,994 | 24 | Title: Maximum Causal Entropy Inverse Constrained Reinforcement Learning
Abstract: When deploying artificial agents in real-world environments where they interact with humans, it is crucial that their behavior is aligned with the values, social norms or other requirements of that environment. However, many environments... | [
17282
] | Train |
18,995 | 16 | Title: Visual Prompt Flexible-Modal Face Anti-Spoofing
Abstract: Recently, vision transformer based multimodal learning methods have been proposed to improve the robustness of face anti-spoofing (FAS) systems. However, multimodal face data collected from the real world is often imperfect due to missing modalities from ... | [
1989,
4521,
46154,
19789,
19246,
29311
] | Train |
18,996 | 5 | Title: Hyperparameter Optimization as a Service on INFN Cloud
Abstract: The simplest and often most effective way of parallelizing the training of complex machine learning models is to execute several training instances on multiple machines, possibly scanning the hyperparameter space to optimize the underlying statisti... | [] | Train |
18,997 | 30 | Title: Can an AI Win Ghana's National Science and Maths Quiz? An AI Grand Challenge for Education
Abstract: There is a lack of enough qualified teachers across Africa which hampers efforts to provide adequate learning support such as educational question answering (EQA) to students. An AI system that can enable student... | [
21778,
33227
] | Train |
18,998 | 27 | Title: Optimizing Task Waiting Times in Dynamic Vehicle Routing
Abstract: We study the problem of deploying a fleet of mobile robots to service tasks that arrive stochastically over time and at random locations in an environment. This is known as the Dynamic Vehicle Routing Problem (DVRP) and requires robots to allocat... | [] | Train |
18,999 | 16 | Title: SRFormer: Permuted Self-Attention for Single Image Super-Resolution
Abstract: Previous works have shown that increasing the window size for Transformer-based image super-resolution models (e.g., SwinIR) can significantly improve the model performance but the computation overhead is also considerable. In this pap... | [
35698,
28854
] | Train |
19,000 | 10 | Title: Reinforcement Learning with Depreciating Assets
Abstract: A basic assumption of traditional reinforcement learning is that the value of a reward does not change once it is received by an agent. The present work forgoes this assumption and considers the situation where the value of a reward decays proportionally ... | [] | Test |
19,001 | 39 | Title: On the hardness of inclusion-wise minimal separators enumeration
Abstract: Enumeration problems are often encountered as key subroutines in the exact computation of graph parameters such as chromatic number, treewidth, or treedepth. In the case of treedepth computation, the enumeration of inclusion-wise minimal ... | [] | Train |
19,002 | 24 | Title: Stochastic Distributed Optimization under Average Second-order Similarity: Algorithms and Analysis
Abstract: We study finite-sum distributed optimization problems with $n$-clients under popular $\delta$-similarity condition and $\mu$-strong convexity. We propose two new algorithms: SVRS and AccSVRS motivated by ... | [] | Validation |
19,003 | 16 | Title: Neural Representation-Based Method for Metal-induced Artifact Reduction in Dental CBCT Imaging
Abstract: This study introduces a novel reconstruction method for dental cone-beam computed tomography (CBCT), focusing on effectively reducing metal-induced artifacts commonly encountered in the presence of prevalent ... | [] | Validation |
19,004 | 30 | Title: Using Foundation Models to Detect Policy Violations with Minimal Supervision
Abstract: Foundation models, i.e. large neural networks pre-trained on large text corpora, have revolutionized NLP. They can be instructed directly (e.g. (arXiv:2005.14165)) - this is called hard prompting - and they can be tuned using ... | [] | Test |
19,005 | 30 | Title: A Comprehensive Analysis of Adapter Efficiency
Abstract: Adapters have been positioned as a parameter-efficient fine-tuning (PEFT) approach, whereby a minimal number of parameters are added to the model and fine-tuned. However, adapters have not been sufficiently analyzed to understand if PEFT translates to bene... | [] | Validation |
19,006 | 16 | Title: Selecting Learnable Training Samples is All DETRs Need in Crowded Pedestrian Detection
Abstract: DEtection TRansformer (DETR) and its variants (DETRs) achieved impressive performance in general object detection. However, in crowded pedestrian detection, the performance of DETRs is still unsatisfactory due to the... | [] | Test |
19,007 | 29 | Title: CoMEt: x86 Cost Model Explanation Framework
Abstract: ML-based program cost models have been shown to yield fairly accurate program cost predictions. They can replace heavily-engineered analytical program cost models in mainstream compilers, but their black-box nature discourages their adoption. In this work, we... | [] | Test |
19,008 | 24 | Title: AutoGluon-TimeSeries: AutoML for Probabilistic Time Series Forecasting
Abstract: We introduce AutoGluon-TimeSeries - an open-source AutoML library for probabilistic time series forecasting. Focused on ease of use and robustness, AutoGluon-TimeSeries enables users to generate accurate point and quantile forecasts... | [
634,
3804
] | Train |
19,009 | 10 | Title: Label Information Enhanced Fraud Detection against Low Homophily in Graphs
Abstract: Node classification is a substantial problem in graph-based fraud detection. Many existing works adopt Graph Neural Networks (GNNs) to enhance fraud detectors. While promising, currently most GNN-based fraud detectors fail to ge... | [] | Train |
19,010 | 30 | Title: Leveraging GPT-4 for Automatic Translation Post-Editing
Abstract: While Neural Machine Translation (NMT) represents the leading approach to Machine Translation (MT), the outputs of NMT models still require translation post-editing to rectify errors and enhance quality, particularly under critical settings. In th... | [
38338,
5891,
13155,
37411,
32744,
20272,
26068,
29396,
45879
] | Train |
19,011 | 24 | Title: EMO: Episodic Memory Optimization for Few-Shot Meta-Learning
Abstract: Few-shot meta-learning presents a challenge for gradient descent optimization due to the limited number of training samples per task. To address this issue, we propose an episodic memory optimization for meta-learning, we call EMO, which is i... | [] | Train |
19,012 | 2 | Title: Model-checking in the Foundations of Algorithmic Law and the Case of Regulation 561
Abstract: We discuss model-checking problems as formal models of algorithmic law. Specifically, we ask for an algorithmically tractable general purpose model-checking problem that naturally models the European transport Regulatio... | [] | Validation |
19,013 | 16 | Title: PointLLM: Empowering Large Language Models to Understand Point Clouds
Abstract: The unprecedented advancements in Large Language Models (LLMs) have created a profound impact on natural language processing but are yet to fully embrace the realm of 3D understanding. This paper introduces PointLLM, a preliminary ef... | [
10624,
13700,
41104,
27282,
32148,
3609,
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36774,
42666,
17583,
33853,
27454,
33220,
8903,
14920,
5720,
37987,
42983,
1900,
14966,
13564,
381
] | Train |
19,014 | 27 | Title: Is Alice Really in Wonderland? UWB-Based Proof of Location for UAVs with Hyperledger Fabric Blockchain
Abstract: Remote identification of Unmanned Aerial Vehicles (UAVs) is becoming increasingly important since more UAVs are being widely used for different needs in urban areas. For example, in the US and in the ... | [
22508,
12063
] | Train |
19,015 | 8 | Title: Porównanie metod detekcji zajętości widma radiowego z wykorzystaniem uczenia federacyjnego z oraz bez węzła centralnego
Abstract: Dynamic spectrum access systems typically require information about the spectrum occupancy and thus the presence of other users in order to make a spectrum al-location decision for a ... | [] | Train |
19,016 | 11 | Title: Distributed Set-membership Filtering Frameworks For Multi-agent Systems With Absolute and Relative Measurements
Abstract: In this paper, we focus on the distributed set-membership filtering (SMFing) problem for a multi-agent system with absolute (taken from agents themselves) and relative (taken from neighbors) ... | [
42138,
22167
] | Validation |
19,017 | 16 | Title: Automatic evaluation of herding behavior in towed fishing gear using end-to-end training of CNN and attention-based networks
Abstract: This paper considers the automatic classification of herding behavior in the cluttered low-visibility environment that typically surrounds towed fishing gear. The paper compares ... | [] | Test |
19,018 | 24 | Title: Federated Learning as Variational Inference: A Scalable Expectation Propagation Approach
Abstract: The canonical formulation of federated learning treats it as a distributed optimization problem where the model parameters are optimized against a global loss function that decomposes across client loss functions. ... | [
4170,
44268,
28541
] | Test |
19,019 | 30 | Title: Optimizing Factual Accuracy in Text Generation through Dynamic Knowledge Selection
Abstract: Language models (LMs) have revolutionized the way we interact with information, but they often generate nonfactual text, raising concerns about their reliability. Previous methods use external knowledge as references for... | [
27853,
3967
] | Train |
19,020 | 38 | Title: A Multiple Linear Regression Analysis to Measure the Journal Contribution to the Social Attention of Research
Abstract: This paper proposes a three-year average of social attention as a more reliable measure of the social impact of journals since the social attention of research can vary widely among scientific ... | [] | Test |
19,021 | 34 | Title: Attribute-Efficient PAC Learning of Low-Degree Polynomial Threshold Functions with Nasty Noise
Abstract: The concept class of low-degree polynomial threshold functions (PTFs) plays a fundamental role in machine learning. In this paper, we study PAC learning of $K$-sparse degree-$d$ PTFs on $\mathbb{R}^n$, where ... | [] | Test |
19,022 | 23 | Title: Towards Automated Classification of Code Review Feedback to Support Analytics
Abstract: Background: As improving code review (CR) effectiveness is a priority for many software development organizations, projects have deployed CR analytics platforms to identify potential improvement areas. The number of issues id... | [
24086
] | Test |
19,023 | 23 | Title: IT-OT Integration from a Systems Engineering Perspective
Abstract: The four essential Industry 4.0 design principles information transparency, technical assistance, interconnection and decentralized decisions introduce new requirements to industrial systems. These requirements often bring the challenge of integr... | [
31535
] | Train |
19,024 | 27 | Title: Koopman Operators for Modeling and Control of Soft Robotics
Abstract: nan | [] | Train |
19,025 | 38 | Title: The Emergence of Preprints: Comparing Publishing Behaviour in the Global South and the Global North
Abstract: Purpose: The recent proliferation of preprints could be a way for researchers worldwide to increase the availability and visibility of their research findings. Against the background of rising publicatio... | [] | Validation |
19,026 | 4 | Title: A Multi-Agent Adaptive Deep Learning Framework for Online Intrusion Detection
Abstract: The network security analyzers use intrusion detection systems (IDSes) to distinguish malicious traffic from benign ones. The deep learning-based IDSes are proposed to auto-extract high-level features and eliminate the time-c... | [] | Test |
19,027 | 24 | Title: Learning Dynamic Graphs from All Contextual Information for Accurate Point-of-Interest Visit Forecasting
Abstract: Forecasting the number of visits to Points-of-Interest (POI) in an urban area is critical for planning and decision-making for various application domains, from urban planning and transportation man... | [] | Validation |
19,028 | 25 | Title: Pruning Self-Attention for Zero-Shot Multi-Speaker Text-to-Speech
Abstract: For personalized speech generation, a neural text-to-speech (TTS) model must be successfully implemented with limited data from a target speaker. To this end, the baseline TTS model needs to be amply generalized to out-of-domain data (i.... | [] | Test |
19,029 | 24 | Title: Individual Fairness in Bayesian Neural Networks
Abstract: We study Individual Fairness (IF) for Bayesian neural networks (BNNs). Specifically, we consider the $\epsilon$-$\delta$-individual fairness notion, which requires that, for any pair of input points that are $\epsilon$-similar according to a given similar... | [
12513
] | Train |
19,030 | 28 | Title: On the Doppler Squint Effect in OTFS Systems over Doubly-Dispersive Channels: Modeling and Evaluation
Abstract: Extensive work has demonstrated the excellent performance of orthogonal time frequency space (OTFS) modulation in high-mobility scenarios. Time-variant wideband channel estimation serves as one of the ... | [] | Train |
19,031 | 24 | Title: Lightweight Neural Architecture Search for Temporal Convolutional Networks at the Edge
Abstract: Neural Architecture Search (NAS) is quickly becoming the go-to approach to optimize the structure of Deep Learning (DL) models for complex tasks such as Image Classification or Object Detection. However, many other r... | [
16462,
35636,
14334,
37951
] | Test |
19,032 | 23 | Title: On the Effectiveness of Log Representation for Log-based Anomaly Detection
Abstract: Logs are an essential source of information for people to understand the running status of a software system. Due to the evolving modern software architecture and maintenance methods, more research efforts have been devoted to a... | [
43769
] | Validation |
19,033 | 16 | Title: Learning Lightweight Object Detectors via Multi-Teacher Progressive Distillation
Abstract: Resource-constrained perception systems such as edge computing and vision-for-robotics require vision models to be both accurate and lightweight in computation and memory usage. While knowledge distillation is a proven str... | [] | Train |
19,034 | 16 | Title: Sharpness-Aware Gradient Matching for Domain Generalization
Abstract: The goal of domain generalization (DG) is to enhance the generalization capability of the model learned from a source domain to other unseen domains. The recently developed Sharpness-Aware Minimization (SAM) method aims to achieve this goal by... | [
32432,
41065
] | Train |
19,035 | 3 | Title: Uncovering Bias in Personal Informatics
Abstract: Personal informatics (PI) systems, powered by smartphones and wearables, enable people to lead healthier lifestyles by providing meaningful and actionable insights that break down barriers between users and their health information. Today, such systems are used b... | [
7824
] | Train |
19,036 | 24 | Title: Group Invariant Global Pooling
Abstract: Much work has been devoted to devising architectures that build group-equivariant representations, while invariance is often induced using simple global pooling mechanisms. Little work has been done on creating expressive layers that are invariant to given symmetries, des... | [
12378
] | Train |
19,037 | 24 | Title: A Survey on Intersectional Fairness in Machine Learning: Notions, Mitigation, and Challenges
Abstract: The widespread adoption of Machine Learning systems, especially in more decision-critical applications such as criminal sentencing and bank loans, has led to increased concerns about fairness implications. Algo... | [
22297
] | Test |
19,038 | 24 | Title: Two-phase Dual COPOD Method for Anomaly Detection in Industrial Control System
Abstract: Critical infrastructures like water treatment facilities and power plants depend on industrial control systems (ICS) for monitoring and control, making them vulnerable to cyber attacks and system malfunctions. Traditional IC... | [
37913
] | Train |
19,039 | 30 | Title: Robust Question Answering against Distribution Shifts with Test-Time Adaption: An Empirical Study
Abstract: A deployed question answering (QA) model can easily fail when the test data has a distribution shift compared to the training data. Robustness tuning (RT) methods have been widely studied to enhance model ... | [
43608,
34914,
15926,
4431
] | Test |
19,040 | 8 | Title: Task-driven Semantic-aware Green Cooperative Transmission Strategy for Vehicular Networks
Abstract: Considering the infrastructure deployment cost and energy consumption, it is unrealistic to provide seamless coverage of the vehicular network. The presence of uncovered areas tends to hinder the prevalence of the... | [
19299
] | Validation |
19,041 | 6 | Title: Balancing between the Local and Global Structures (LGS) in Graph Embedding
Abstract: We present a method for balancing between the Local and Global Structures (LGS) in graph embedding, via a tunable parameter. Some embedding methods aim to capture global structures, while others attempt to preserve local neighbo... | [] | Train |
19,042 | 27 | Title: Energy Tank-based Control Framework for Satisfying the ISO/TS 15066 Constraint
Abstract: The technical specification ISO/TS 15066 provides the foundational elements for assessing the safety of collaborative human-robot cells, which are the cornerstone of the modern industrial paradigm. The standard implementatio... | [] | Train |
19,043 | 17 | Title: Information Entropy-based Camera Path Estimation for In-Situ Visualization
Abstract: In-situ processing has widely been recognized as an effective approach for the visualization and analysis of large-scale simulation outputs from modern HPC systems. One of the most common approaches for batch-based in-situ visua... | [] | Train |
19,044 | 34 | Title: Optimal Algorithms for Bounded Weighted Edit Distance
Abstract: The edit distance of two strings is the minimum number of insertions, deletions, and substitutions of characters needed to transform one string into the other. The textbook dynamic-programming algorithm computes the edit distance of two length-$n$ s... | [
5129,
25887
] | Train |
19,045 | 24 | Title: Certified Adversarial Robustness Within Multiple Perturbation Bounds
Abstract: Randomized smoothing (RS) is a well known certified defense against adversarial attacks, which creates a smoothed classifier by predicting the most likely class under random noise perturbations of inputs during inference. While initia... | [] | Test |
19,046 | 27 | Title: Modular and Parallelizable Multibody Physics Simulation via Subsystem-Based ADMM
Abstract: In this paper, we present a new multibody physics simulation framework that utilizes the subsystem-based struc-ture and the Alternating Direction Method of Multiplier (ADMM). The major challenge in simulating complex high ... | [] | Validation |
19,047 | 24 | Title: Quantifying and Managing Impacts of Concept Drifts on IoT Traffic Inference in Residential ISP Networks
Abstract: Millions of vulnerable consumer IoT devices in home networks are the enabler for cyber crimes putting user privacy and Internet security at risk. Internet service providers (ISPs) are best poised to ... | [] | Train |
19,048 | 16 | Title: A Lightweight Causal Model for Interpretable Subject-level Prediction
Abstract: Recent years have seen a growing interest in methods for predicting a variable of interest, such as a subject's diagnosis, from medical images. Methods based on discriminative modeling excel at making accurate predictions, but are ch... | [] | Train |
19,049 | 24 | Title: Towards Long-Term Time-Series Forecasting: Feature, Pattern, and Distribution
Abstract: Long-term time-series forecasting (LTTF) has become a pressing demand in many applications, such as wind power supply planning. Transformer models have been adopted to deliver high prediction capacity because of the high comp... | [
2905
] | Validation |
19,050 | 16 | Title: VesselVAE: Recursive Variational Autoencoders for 3D Blood Vessel Synthesis
Abstract: We present a data-driven generative framework for synthesizing blood vessel 3D geometry. This is a challenging task due to the complexity of vascular systems, which are highly variating in shape, size, and structure. Existing m... | [
39946
] | Train |
19,051 | 6 | Title: Why Combining Text and Visualization Could Improve Bayesian Reasoning: A Cognitive Load Perspective
Abstract: Investigations into using visualization to improve Bayesian reasoning and advance risk communication have produced mixed results, suggesting that cognitive ability might affect how users perform with dif... | [
18505,
22110,
14167
] | Train |
19,052 | 5 | Title: Empirical Challenge for NC Theory
Abstract: Horn-satisfiability or Horn-SAT is the problem of deciding whether a satisfying assignment exists for a Horn formula, a conjunction of clauses each with at most one positive literal (also known as Horn clauses). It is a well-known P-complete problem, which implies that... | [] | Test |
19,053 | 6 | Title: Artifact magnification on deepfake videos increases human detection and subjective confidence
Abstract: The development of technologies for easily and automatically falsifying video has raised practical questions about people's ability to detect false information online. How vulnerable are people to deepfake vid... | [] | Train |
19,054 | 10 | Title: Let's Give a Voice to Conversational Agents in Virtual Reality
Abstract: The dialogue experience with conversational agents can be greatly enhanced with multimodal and immersive interactions in virtual reality. In this work, we present an open-source architecture with the goal of simplifying the development of c... | [] | Train |
19,055 | 23 | Title: Smart Contract Upgradeability on the Ethereum Blockchain Platform: An Exploratory Study
Abstract: Context: Smart contracts are computerized self-executing contracts that contain clauses, which are enforced once certain conditions are met. Smart contracts are immutable by design and cannot be modified once deploy... | [
41206
] | Test |
19,056 | 6 | Title: Dynamics of eye-hand coordination are flexibly preserved in eye-cursor coordination during an online, digital, object interaction task
Abstract: Do patterns of eye-hand coordination observed during real-world object interactions apply to digital, screen-based object interactions? We adapted a real-world object i... | [] | Train |
19,057 | 4 | Title: A False Sense of Privacy: Towards a Reliable Evaluation Methodology for the Anonymization of Biometric Data
Abstract: Biometric data contains distinctive human traits such as facial features or gait patterns. The use of biometric data permits an individuation so exact that the data is utilized effectively in ide... | [] | Train |
19,058 | 24 | Title: TAP: Accelerating Large-Scale DNN Training Through Tensor Automatic Parallelisation
Abstract: Model parallelism has become necessary to train large neural networks. However, finding a suitable model parallel schedule for an arbitrary neural network is a non-trivial task due to the exploding search space. In this... | [] | Validation |
19,059 | 5 | Title: Interpretation of the principles and implementation of FreeRider: A tutorial
Abstract: We aims to provide an interpretation of the the design background, motivation, and key innovations of FreeRider. The technique utilized by FreeRider enables tags to transform codewords present in commodity signals into another... | [] | Validation |
19,060 | 24 | Title: Counterfactual Explanation with Missing Values
Abstract: Counterfactual Explanation (CE) is a post-hoc explanation method that provides a perturbation for altering the prediction result of a classifier. Users can interpret the perturbation as an"action"to obtain their desired decision results. Existing CE method... | [
24849
] | Train |
19,061 | 24 | Title: From continuous-time formulations to discretization schemes: tensor trains and robust regression for BSDEs and parabolic PDEs
Abstract: The numerical approximation of partial differential equations (PDEs) poses formidable challenges in high dimensions since classical grid-based methods suffer from the so-called ... | [] | Train |
19,062 | 16 | Title: RMSim: controlled respiratory motion simulation on static patient scans
Abstract: Objective. This work aims to generate realistic anatomical deformations from static patient scans. Specifically, we present a method to generate these deformations/augmentations via deep learning driven respiratory motion simulatio... | [] | Validation |
19,063 | 23 | Title: Unified Software Design Patterns for Simulated Annealing
Abstract: Any optimization algorithm programming interface can be seen as a black-box function with additional free parameters. In this spirit, simulated annealing (SA) can be implemented in pseudo-code within the dimensions of a single slide with free par... | [] | Train |
19,064 | 16 | Title: VisFusion: Visibility-Aware Online 3D Scene Reconstruction from Videos
Abstract: We propose VisFusion, a visibility-aware online 3D scene reconstruction approach from posed monocular videos. In particular, we aim to reconstruct the scene from volumetric features. Unlike previous reconstruction methods which aggr... | [] | Test |
19,065 | 24 | Title: Polyhedral Complex Extraction from ReLU Networks using Edge Subdivision
Abstract: A neural network consisting of piecewise affine building blocks, such as fully-connected layers and ReLU activations, is itself a piecewise affine function supported on a polyhedral complex. This complex has been previously studied... | [
25414
] | Train |
19,066 | 16 | Title: Empowering Vision-Language Models to Follow Interleaved Vision-Language Instructions
Abstract: Multimodal Large Language Models (MLLMs) have recently sparked significant interest, which demonstrates emergent capabilities to serve as a general-purpose model for various vision-language tasks. However, existing met... | [
10624,
5186,
5922,
13700,
14213,
37987,
42983,
21259,
34074,
7982,
43736,
41104,
26606,
32343,
5720,
43641,
19578,
4251
] | Train |
19,067 | 24 | Title: Fast and Accurate Dual-Way Streaming PARAFAC2 for Irregular Tensors - Algorithm and Application
Abstract: How can we efficiently and accurately analyze an irregular tensor in a dual-way streaming setting where the sizes of two dimensions of the tensor increase over time? What types of anomalies are there in the ... | [] | Validation |
19,068 | 30 | Title: Leveraging Summary Guidance on Medical Report Summarization
Abstract: This study presents three deidentified large medical text datasets, named DISCHARGE, ECHO and RADIOLOGY, which contain 50K, 16K and 378K pairs of report and summary that are derived from MIMIC-III, respectively. We implement convincing baselin... | [
3256,
31905,
27995
] | Train |
19,069 | 16 | Title: Beyond AUROC & co. for evaluating out-of-distribution detection performance
Abstract: While there has been a growing research interest in developing out-of-distribution (OOD) detection methods, there has been comparably little discussion around how these methods should be evaluated. Given their relevance for saf... | [] | Train |
19,070 | 4 | Title: A Plot is Worth a Thousand Words: Model Information Stealing Attacks via Scientific Plots
Abstract: Building advanced machine learning (ML) models requires expert knowledge and many trials to discover the best architecture and hyperparameter settings. Previous work demonstrates that model information can be leve... | [
26094
] | Train |
19,071 | 8 | Title: Gleam: An RDMA-accelerated Multicast Protocol for Datacenter Networks
Abstract: RDMA has been widely adopted for high-speed datacenter networks. However, native RDMA merely supports one-to-one reliable connection, which mismatches various applications with group communication patterns (e.g., one-to-many). While ... | [] | Train |
19,072 | 10 | Title: Credit Card Fraud Detection Using Enhanced Random Forest Classifier for Imbalanced Data
Abstract: The credit card has become the most popular payment method for both online and offline transactions. The necessity to create a fraud detection algorithm to precisely identify and stop fraudulent activity arises as a... | [] | Validation |
19,073 | 8 | Title: WIP: Federated Learning for Routing in Swarm Based Distributed Multi-Hop Networks
Abstract: Unmanned Aerial Vehicles (UAVs) are a rapidly emerging technology offering fast and cost-effective solutions for many areas, including public safety, surveillance, and wireless networks. However, due to the highly dynamic... | [] | Validation |
19,074 | 31 | Title: An IPW-based Unbiased Ranking Metric in Two-sided Markets
Abstract: In modern recommendation systems, unbiased learning-to-rank (LTR) is crucial for prioritizing items from biased implicit user feedback, such as click data. Several techniques, such as Inverse Propensity Weighting (IPW), have been proposed for si... | [] | Train |
19,075 | 16 | Title: The Interstate-24 3D Dataset: a new benchmark for 3D multi-camera vehicle tracking
Abstract: This work presents a novel video dataset recorded from overlapping highway traffic cameras along an urban interstate, enabling multi-camera 3D object tracking in a traffic monitoring context. Data is released from 3 scen... | [
46076
] | Test |
19,076 | 8 | Title: An Intelligent SDWN Routing Algorithm Based on Network Situational Awareness and Deep Reinforcement Learning
Abstract: To address the challenges of obtaining network state information, flexibly forwarding data, and improving the communication quality of service (QoS) in wireless network transmission environments... | [] | Test |
19,077 | 28 | Title: MacWilliams' Extension Theorem for rank-metric codes
Abstract: The MacWilliams' Extension Theorem is a classical result by Florence Jessie MacWilliams. It shows that every linear isometry between linear block-codes endowed with the Hamming distance can be extended to a linear isometry of the ambient space. Such ... | [] | Train |
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