Split (1)

train · 203k rows

node_id int64 0 76.9k	label int64 0 39	text stringlengths 13 124k	neighbors listlengths 0 3.32k	mask stringclasses 4 values
17,478	16	Title: Unsupervised Skin Lesion Segmentation via Structural Entropy Minimization on Multi-Scale Superpixel Graphs Abstract: Skin lesion segmentation is a fundamental task in dermoscopic image analysis. The complex features of pixels in the lesion region impede the lesion segmentation accuracy, and existing deep learnin...	[ 29960, 22084 ]	Train
17,479	30	Title: GujiBERT and GujiGPT: Construction of Intelligent Information Processing Foundation Language Models for Ancient Texts Abstract: In the context of the rapid development of large language models, we have meticulously trained and introduced the GujiBERT and GujiGPT language models, which are foundational models spe...	[ 27481, 13510, 3975 ]	Validation
17,480	6	Title: Subject-Independent Classification of Brain Signals using Skip Connections Abstract: Untapped potential for new forms of human-to-human communication can be found in the active research field of studies on the decoding of brain signals of human speech. A brain-computer interface system can be implemented using e...	[]	Train
17,481	27	Title: Continuous-Time Ultra-Wideband-Inertial Fusion Abstract: We introduce a novel framework of continuous-time ultra-wideband-inertial sensor fusion for online motion estimation. Quaternion-based cubic cumulative B-splines are exploited for parameterizing motion states continuously over time. Systematic derivations ...	[ 12823 ]	Train
17,482	4	Title: Adversarial Attacks and Defenses in Explainable Artificial Intelligence: A Survey Abstract: Explainable artificial intelligence (XAI) methods are portrayed as a remedy for debugging and trusting statistical and deep learning models, as well as interpreting their predictions. However, recent advances in adversari...	[ 14753, 186, 22716, 13510 ]	Train
17,483	37	Title: Data Processing with FPGAs on Modern Architectures Abstract: Trends in hardware, the prevalence of the cloud, and the rise of highly demanding applications have ushered an era of specialization that is quickly changing the way data is processed at scale. These changes are likely to continue and accelerate in the...	[ 1514, 32271 ]	Train
17,484	16	Title: FB-BEV: BEV Representation from Forward-Backward View Transformations Abstract: View Transformation Module (VTM), where transformations happen between multi-view image features and Bird-Eye-View (BEV) representation, is a crucial step in camera-based BEV perception systems. Currently, the two most prominent VTM ...	[ 19122, 32611, 34098 ]	Test
17,485	16	Title: Dense Hybrid Proposal Modulation for Lane Detection Abstract: In this paper, we present a dense hybrid proposal modulation (DHPM) method for lane detection. Most existing methods perform sparse supervision on a subset of high-scoring proposals, while other proposals fail to obtain effective shape and location gu...	[]	Train
17,486	16	Title: STRIDE: Street View-based Environmental Feature Detection and Pedestrian Collision Prediction Abstract: This paper introduces a novel benchmark to study the impact and relationship of built environment elements on pedestrian collision prediction, intending to enhance environmental awareness in autonomous driving...	[]	Train
17,487	1	Title: SSVMR: Saliency-based Self-training for Video-Music Retrieval Abstract: With the rise of short videos, the demand for selecting appropriate background music (BGM) for a video has increased significantly, video-music retrieval (VMR) task gradually draws much attention by research community. As other cross-modal l...	[ 11781, 39557, 27337, 26730, 15341, 5394, 29722 ]	Train
17,488	16	Title: FusionFormer: A Multi-sensory Fusion in Bird's-Eye-View and Temporal Consistent Transformer for 3D Objection Abstract: Multi-sensor modal fusion has demonstrated strong advantages in 3D object detection tasks. However, existing methods that fuse multi-modal features through a simple channel concatenation require...	[ 29777, 45087 ]	Train
17,489	24	Title: SDC-HSDD-NDSA: Structure Detecting Cluster by Hierarchical Secondary Directed Differential with Normalized Density and Self-Adaption Abstract: Density-based clustering could be the most popular clustering algorithm since it can identify clusters of arbitrary shape as long as different (high-density) clusters are...	[]	Validation
17,490	3	Title: Certification Labels for Trustworthy AI: Insights From an Empirical Mixed-Method Study Abstract: Auditing plays a pivotal role in the development of trustworthy AI. However, current research primarily focuses on creating auditable AI documentation, which is intended for regulators and experts rather than end-use...	[]	Validation
17,491	4	Title: Deciding Differential Privacy of Online Algorithms with Multiple Variables Abstract: We consider the problem of checking the differential privacy of online randomized algorithms that process a stream of inputs and produce outputs corresponding to each input. This paper generalizes an automaton model called DiP a...	[ 24235 ]	Train
17,492	16	Title: DICNet: Deep Instance-Level Contrastive Network for Double Incomplete Multi-View Multi-Label Classification Abstract: In recent years, multi-view multi-label learning has aroused extensive research enthusiasm. However, multi-view multi-label data in the real world is commonly incomplete due to the uncertain fact...	[ 23706, 1054 ]	Validation
17,493	5	Title: Experience with Distributed Memory Delaunay-based Image-to-Mesh Conversion Implementation Abstract: This paper presents some of our findings on the scalability of parallel 3D mesh generation on distributed memory machines. The primary objective of this study was to evaluate a distributed memory approach for impl...	[]	Train
17,494	4	Title: Federated Deep Learning for Intrusion Detection in IoT Networks Abstract: The vast increase of Internet of Things (IoT) technologies and the ever-evolving attack vectors have increased cyber-security risks dramatically. A common approach to implementing AI-based Intrusion Detection systems (IDSs) in distributed ...	[ 35406 ]	Train
17,495	8	Title: Traffic Modeling with SUMO: a Tutorial Abstract: This paper presents a step-by-step guide to generating and simulating a traffic scenario using the open-source simulation tool SUMO. It introduces the common pipeline used to generate a synthetic traffic model for SUMO, how to import existing traffic data into a m...	[]	Validation
17,496	34	Title: Dynamic Maintenance of Monotone Dynamic Programs and Applications Abstract: Dynamic programming (DP) is one of the fundamental paradigms in algorithm design. However, many DP algorithms have to fill in large DP tables, represented by two-dimensional arrays, which causes at least quadratic running times and space...	[]	Test
17,497	10	Title: Toward the Automated Construction of Probabilistic Knowledge Graphs for the Maritime Domain Abstract: International maritime crime is becoming increasingly sophisticated, often associated with wider criminal networks. Detecting maritime threats by means of fusing data purely related to physical movement (i.e., t...	[]	Train
17,498	2	Title: Effect Algebras as Omega-categories Abstract: We show how an effect algebra $\mathcal{X}$ can be regarded as a category, where the morphisms $x \rightarrow y$ are the elements $f$ such that $x \leq f \leq y$. This gives an embedding $\mathbf{EA} \rightarrow \mathbf{Cat}$. The interval $[x,y]$ proves to be an eff...	[]	Train
17,499	16	Title: RC-BEVFusion: A Plug-In Module for Radar-Camera Bird's Eye View Feature Fusion Abstract: Radars and cameras belong to the most frequently used sensors for advanced driver assistance systems and automated driving research. However, there has been surprisingly little research on radar-camera fusion with neural net...	[ 7815 ]	Validation
17,500	24	Title: Breaking the Paradox of Explainable Deep Learning Abstract: Deep Learning has achieved tremendous results by pushing the frontier of automation in diverse domains. Unfortunately, current neural network architectures are not explainable by design. In this paper, we propose a novel method that trains deep hypernet...	[]	Validation
17,501	5	Title: Optimal Message-Passing with Noisy Beeps Abstract: Beeping models are models for networks of weak devices, such as sensor networks or biological networks. In these networks, nodes are allowed to communicate only via emitting beeps: unary pulses of energy. Listening nodes only the capability of carrier sensing: t...	[]	Train
17,502	30	Title: Is ChatGPT A Good Keyphrase Generator? A Preliminary Study Abstract: The emergence of ChatGPT has recently garnered significant attention from the computational linguistics community. To demonstrate its capabilities as a keyphrase generator, we conduct a preliminary evaluation of ChatGPT for the keyphrase genera...	[ 15559, 43403, 10554, 17595, 35580, 43327 ]	Train
17,503	24	Title: Beam Tree Recursive Cells Abstract: We propose Beam Tree Recursive Cell (BT-Cell) - a backpropagation-friendly framework to extend Recursive Neural Networks (RvNNs) with beam search for latent structure induction. We further extend this framework by proposing a relaxation of the hard top-k operators in beam sear...	[ 45142 ]	Train
17,504	4	Title: Trend and Emerging Types of 419 Scams Abstract: Technological advancements have revolutionized various aspects of human life, facilitating communication, business operations, healthcare, education, and environmental monitoring. However, this increased reliance on technology has also led to a surge in cybercrime,...	[]	Train
17,505	16	Title: Representation Synthesis by Probabilistic Many-Valued Logic Operation in Self-Supervised Learning Abstract: Self-supervised learning (SSL) using mixed images has been studied to learn various image representations. Existing methods using mixed images learn a representation by maximizing the similarity between th...	[]	Validation
17,506	24	Title: Spatial-Temporal Graph Learning with Adversarial Contrastive Adaptation Abstract: Spatial-temporal graph learning has emerged as a promising solution for modeling structured spatial-temporal data and learning region representations for various urban sensing tasks such as crime forecasting and traffic flow predic...	[ 9150 ]	Train
17,507	11	Title: Maximum Entropy Heterogeneous-Agent Mirror Learning Abstract: Multi-agent reinforcement learning (MARL) has been shown effective for cooperative games in recent years. However, existing state-of-the-art methods face challenges related to sample inefficiency, brittleness regarding hyperparameters, and the risk of...	[]	Validation
17,508	30	Title: Empirical Analysis of the Strengths and Weaknesses of PEFT Techniques for LLMs Abstract: As foundation models continue to exponentially scale in size, efficient methods of adaptation become increasingly critical. Parameter-efficient fine-tuning (PEFT), a recent class of techniques that require only modifying a s...	[ 45388, 17076, 42126, 20799 ]	Train
17,509	30	Title: Contextualized Word Vector-based Methods for Discovering Semantic Differences with No Training nor Word Alignment Abstract: In this paper, we propose methods for discovering semantic differences in words appearing in two corpora based on the norms of contextualized word vectors. The key idea is that the coverage...	[]	Train
17,510	30	Title: Fly-Swat or Cannon? Cost-Effective Language Model Choice via Meta-Modeling Abstract: Generative language models (LMs) have become omnipresent across data science. For a wide variety of tasks, inputs can be phrased as natural language prompts for an LM, from whose output the solution can then be extracted. LM per...	[ 13700, 17606, 27306, 41554, 20375 ]	Train
17,511	16	Title: EffLiFe: Efficient Light Field Generation via Hierarchical Sparse Gradient Descent Abstract: With the rise of Extended Reality (XR) technology, there is a growing need for real-time light field generation from sparse view inputs. Existing methods can be classified into offline techniques, which can generate high...	[]	Train
17,512	27	Title: Flexible and Slim Device Switching Air Blowing and Suction by a Single Airflow Control Abstract: This study proposes a soft robotic device with a slim and flexible body that switches between air blowing and suction with a single airflow control. Suction is achieved by jet flow entraining surrounding air, and blo...	[]	Train
17,513	24	Title: On Kinetic Optimal Probability Paths for Generative Models Abstract: Recent successful generative models are trained by fitting a neural network to an a-priori defined tractable probability density path taking noise to training examples. In this paper we investigate the space of Gaussian probability paths, which...	[]	Train
17,514	24	Title: Extracting real estate values of rental apartment floor plans using graph convolutional networks Abstract: Access graphs that indicate adjacency relationships from the perspective of flow lines of rooms are extracted automatically from a large number of floor plan images of a family-oriented rental apartment com...	[]	Validation
17,515	16	Title: Residual Spatial Fusion Network for RGB-Thermal Semantic Segmentation Abstract: Semantic segmentation plays an important role in widespread applications such as autonomous driving and robotic sensing. Traditional methods mostly use RGB images which are heavily affected by lighting conditions, \eg, darkness. Rece...	[ 35294 ]	Validation
17,516	28	Title: Interference and Noise Cancellation for Joint Communication Radar (JCR) System Based on Contextual Information Abstract: This paper examines the separation of wireless communication and radar signals, thereby guaranteeing cohabitation and acting as a panacea to spectrum sensing. First, considering that the chann...	[]	Train
17,517	30	Title: Textbooks Are All You Need Abstract: We introduce phi-1, a new large language model for code, with significantly smaller size than competing models: phi-1 is a Transformer-based model with 1.3B parameters, trained for 4 days on 8 A100s, using a selection of ``textbook quality"data from the web (6B tokens) and sy...	[ 34178, 25734, 6797, 35085, 16911, 24718, 14869, 38167, 32669, 2980, 24105, 8106, 31145, 1966, 17076, 25786, 36667, 25021, 32450, 14148, 13510, 9934, 18895, 15952, 33490, 29396, 1369, 8540, 24284, 30063, 26868 ]	Train
17,518	10	Title: The Quest of Finding the Antidote to Sparse Double Descent Abstract: In energy-efficient schemes, finding the optimal size of deep learning models is very important and has a broad impact. Meanwhile, recent studies have reported an unexpected phenomenon, the sparse double descent: as the model's sparsity increas...	[ 43263, 3572, 23535 ]	Test
17,519	28	Title: The extended codes of a family of reversible MDS cyclic codes Abstract: A linear code with parameters $[n, k, n-k+1]$ is called a maximum distance separable (MDS for short) code. A linear code with parameters $[n, k, n-k]$ is said to be almost maximum distance separable (AMDS for short). A linear code is said to...	[]	Test
17,520	10	Title: Safe Reinforcement Learning via Probabilistic Logic Shields Abstract: Safe Reinforcement learning (Safe RL) aims at learning optimal policies while staying safe. A popular solution to Safe RL is shielding, which uses a logical safety specification to prevent an RL agent from taking unsafe actions. However, tradi...	[ 24545, 41603 ]	Train
17,521	20	Title: Proceedings of the 31st International Symposium on Graph Drawing and Network Visualization (GD 2023) Abstract: This is the arXiv index for the electronic proceedings of GD 2023, which contains the peer-reviewed and revised accepted papers with an optional appendix. Proceedings (without appendices) are also to be...	[]	Train
17,522	36	Title: A Markov Game of Age of Information From Strategic Sources With Full Online Information Abstract: We investigate the performance of concurrent remote sensing from independent strategic sources, whose goal is to minimize a linear combination of the freshness of information and the updating cost. In the literature...	[]	Test
17,523	23	Title: Generative Type Inference for Python Abstract: Python is a popular dynamic programming language, evidenced by its ranking as the second most commonly used language on GitHub. However, its dynamic type system can lead to potential type errors, leading researchers to explore automatic type inference approaches for...	[ 18984, 20173, 43471, 34992, 6866 ]	Train
17,524	37	Title: Parallel External Sorting of ASCII Records Using Learned Models Abstract: External sorting is at the core of many operations in large-scale database systems, such as ordering and aggregation queries for large result sets, building indexes, sort-merge joins, duplicate removal, sharding, and record clustering. Unl...	[]	Validation
17,525	16	Title: AnimeDiffusion: Anime Face Line Drawing Colorization via Diffusion Models Abstract: It is a time-consuming and tedious work for manually colorizing anime line drawing images, which is an essential stage in cartoon animation creation pipeline. Reference-based line drawing colorization is a challenging task that r...	[ 34074 ]	Train
17,526	16	Title: Text2Video-Zero: Text-to-Image Diffusion Models are Zero-Shot Video Generators Abstract: Recent text-to-video generation approaches rely on computationally heavy training and require large-scale video datasets. In this paper, we introduce a new task of zero-shot text-to-video generation and propose a low-cost ap...	[ 5123, 36741, 40979, 34074, 28827, 4765, 40606, 42272, 22822, 38696, 12841, 18731, 5932, 7597, 25006, 19378, 20666, 9276, 43328, 13505, 25666, 28482, 29389, 20174, 28113, 25172, 33621, 2528, 3680, 10216, 30312, 14956, 36718, 15983, 20474, 125, 3...	Validation
17,527	24	Title: On the Robustness of AlphaFold: A COVID-19 Case Study Abstract: Protein folding neural networks (PFNNs) such as AlphaFold predict remarkably accurate structures of proteins compared to other approaches. However, the robustness of such networks has heretofore not been explored. This is particularly relevant given...	[]	Train
17,528	10	Title: Learning Cooperative Behaviours in Adversarial Multi-agent Systems Abstract: nan	[]	Train
17,529	24	Title: Extracting Reward Functions from Diffusion Models Abstract: Diffusion models have achieved remarkable results in image generation, and have similarly been used to learn high-performing policies in sequential decision-making tasks. Decision-making diffusion models can be trained on lower-quality data, and then be...	[ 8994, 30566, 34215, 27782, 16273, 41404, 43965 ]	Validation
17,530	24	Title: Fast Unsupervised Deep Outlier Model Selection with Hypernetworks Abstract: Outlier detection (OD) finds many applications with a rich literature of numerous techniques. Deep neural network based OD (DOD) has seen a recent surge of attention thanks to the many advances in deep learning. In this paper, we conside...	[]	Train
17,531	16	Title: Pre-train, Adapt and Detect: Multi-Task Adapter Tuning for Camouflaged Object Detection Abstract: Camouflaged object detection (COD), aiming to segment camouflaged objects which exhibit similar patterns with the background, is a challenging task. Most existing works are dedicated to establishing specialized modu...	[]	Train
17,532	24	Title: Efficient Graph Field Integrators Meet Point Clouds Abstract: We present two new classes of algorithms for efficient field integration on graphs encoding point clouds. The first class, SeparatorFactorization(SF), leverages the bounded genus of point cloud mesh graphs, while the second class, RFDiffusion(RFD), us...	[]	Train
17,533	31	Title: Reviewer assignment problem: A scoping review Abstract: Peer review is an integral component of scientific research. The quality of peer review, and consequently the published research, depends to a large extent on the ability to recruit adequate reviewers for submitted papers. However, finding such reviewers is...	[]	Validation
17,534	24	Title: Promoting Cooperation in Multi-Agent Reinforcement Learning via Mutual Help Abstract: Multi-agent reinforcement learning (MARL) has achieved great progress in cooperative tasks in recent years. However, in the local reward scheme, where only local rewards for each agent are given without global rewards shared by...	[]	Train
17,535	30	Title: Let's Get Personal: Personal Questions Improve SocialBot Performance in the Alexa Prize Abstract: There has been an increased focus on creating conversational open-domain dialogue systems in the spoken dialogue community. Unlike traditional dialogue systems, these conversational systems cannot assume any specifi...	[]	Train
17,536	24	Title: iPDP: On Partial Dependence Plots in Dynamic Modeling Scenarios Abstract: Post-hoc explanation techniques such as the well-established partial dependence plot (PDP), which investigates feature dependencies, are used in explainable artificial intelligence (XAI) to understand black-box machine learning models. Whi...	[ 31498 ]	Train
17,537	25	Title: Multitask learning in Audio Captioning: a sentence embedding regression loss acts as a regularizer Abstract: In this work, we propose to study the performance of a model trained with a sentence embedding regression loss component for the Automated Audio Captioning task. This task aims to build systems that can d...	[ 15130 ]	Train
17,538	24	Title: An Intentional Forgetting-Driven Self-Healing Method For Deep Reinforcement Learning Systems Abstract: Deep reinforcement learning (DRL) is increasingly applied in large-scale productions like Netflix and Facebook. As with most data-driven systems, DRL systems can exhibit undesirable behaviors due to environment...	[]	Train
17,539	16	Title: Metric-aligned Sample Selection and Critical Feature Sampling for Oriented Object Detection Abstract: Arbitrary-oriented object detection is a relatively emerging but challenging task. Although remarkable progress has been made, there still remain many unsolved issues due to the large diversity of patterns in or...	[]	Test
17,540	16	Title: Robust 3D-aware Object Classification via Discriminative Render-and-Compare Abstract: In real-world applications, it is essential to jointly estimate the 3D object pose and class label of objects, i.e., to perform 3D-aware classification.While current approaches for either image classification or pose estimation...	[]	Train
17,541	30	Title: Enriching the NArabizi Treebank: A Multifaceted Approach to Supporting an Under-Resourced Language Abstract: In this paper we address the scarcity of annotated data for NArabizi, a Romanized form of North African Arabic used mostly on social media, which poses challenges for Natural Language Processing (NLP). We...	[]	Test
17,542	6	Title: Detecting The Corruption Of Online Questionnaires By Artificial Intelligence Abstract: Online questionnaires that use crowd-sourcing platforms to recruit participants have become commonplace, due to their ease of use and low costs. Artificial Intelligence (AI) based Large Language Models (LLM) have made it easy ...	[ 19968, 36635, 13700, 16166, 3050, 44173, 28924, 43930, 1371, 14236 ]	Train
17,543	5	Title: Rendezvous on a Known Dynamic Point on a Finite Unoriented Grid Abstract: In this paper, we have considered two fully synchronous $\mathcal{OBLOT}$ robots having no agreement on coordinates entering a finite unoriented grid through a door vertex at a corner, one by one. There is a resource that can move around t...	[]	Train
17,544	16	Title: Aggregating Long-term Sharp Features via Hybrid Transformers for Video Deblurring Abstract: Video deblurring methods, aiming at recovering consecutive sharp frames from a given blurry video, usually assume that the input video suffers from consecutively blurry frames. However, in real-world blurry videos taken b...	[ 12969 ]	Test
17,545	24	Title: Towards Assumption-free Bias Mitigation Abstract: Despite the impressive prediction ability, machine learning models show discrimination towards certain demographics and suffer from unfair prediction behaviors. To alleviate the discrimination, extensive studies focus on eliminating the unequal distribution of se...	[ 36981 ]	Validation
17,546	16	Title: Hyperspectral Image Super Resolution with Real Unaligned RGB Guidance Abstract: Fusion-based hyperspectral image (HSI) super-resolution has become increasingly prevalent for its capability to integrate high-frequency spatial information from the paired high-resolution (HR) RGB reference image. However, most of t...	[]	Train
17,547	16	Title: Diffusion Action Segmentation Abstract: Temporal action segmentation is crucial for understanding long-form videos. Previous works on this task commonly adopt an iterative refinement paradigm by using multi-stage models. We propose a novel framework via denoising diffusion models, which nonetheless shares the sa...	[ 21885, 10022, 21679 ]	Train
17,548	38	Title: Quantifying gender imbalance in East Asian academia Abstract: Gender imbalance in academia has been confirmed in terms of a variety of indicators, and its magnitude often varies from country to country. Europe and North America, which cover a large fraction of research workforce in the world, have been the main ...	[]	Train
17,549	20	Title: When Can You Tile an Integer Rectangle with Integer Squares? Abstract: This paper characterizes when an $m \times n$ rectangle, where $m$ and $n$ are integers, can be tiled (exactly packed) by squares where each has an integer side length of at least 2. In particular, we prove that tiling is always possible when...	[]	Train
17,550	30	Title: AdapterEM: Pre-trained Language Model Adaptation for Generalized Entity Matching using Adapter-tuning Abstract: Entity Matching (EM) involves identifying different data representations referring to the same entity from multiple data sources and is typically formulated as a binary classification problem. It is a ...	[]	Train
17,551	28	Title: Over-the-Air Multi-View Pooling for Distributed Sensing Abstract: Sensing is envisioned as a key network function of the 6G mobile networks. Artificial intelligence (AI)-empowered sensing fuses features of multiple sensing views from devices distributed in edge networks for the edge server to perform accurate in...	[]	Validation
17,552	13	Title: A Proof that Using Crossover Can Guarantee Exponential Speed-Ups in Evolutionary Multi-Objective Optimisation Abstract: Evolutionary algorithms are popular algorithms for multiobjective optimisation (also called Pareto optimisation) as they use a population to store trade-offs between different objectives. Despi...	[ 14411, 28340, 39607 ]	Train
17,553	24	Title: Meta-Learning Parameterized First-Order Optimizers using Differentiable Convex Optimization Abstract: Conventional optimization methods in machine learning and controls rely heavily on first-order update rules. Selecting the right method and hyperparameters for a particular task often involves trial-and-error or...	[]	Test
17,554	34	Title: Matrix Multiplication Using Only Addition Abstract: Matrix multiplication consumes a large fraction of the time taken in many machine-learning algorithms. Thus, accelerator chips that perform matrix multiplication faster than conventional processors or even GPU's are of increasing interest. In this paper, we dem...	[]	Train
17,555	30	Title: Improving Aspect-Based Sentiment with End-to-End Semantic Role Labeling Model Abstract: This paper presents a series of approaches aimed at enhancing the performance of Aspect-Based Sentiment Analysis (ABSA) by utilizing extracted semantic information from a Semantic Role Labeling (SRL) model. We propose a novel...	[]	Train
17,556	23	Title: Automated Software Testing Starting from Static Analysis: Current State of the Art Abstract: — The mass production of complex software has made it impossible to manually test it for security vulnerabilities. Automated security testing tools come in a variety of flavors, function at various stages of software dev...	[]	Train
17,557	28	Title: Deterministic Identification for MC Binomial Channel Abstract: The Binomial channel serves as a fundamental model for molecular communication (MC) systems employing molecule-counting receivers. Here, deterministic identification (DI) is addressed for the discrete-time Binomial channels (DTBC), subject to an aver...	[]	Train
17,558	10	Title: TREA: Tree-Structure Reasoning Schema for Conversational Recommendation Abstract: Conversational recommender systems (CRS) aim to timely trace the dynamic interests of users through dialogues and generate relevant responses for item recommendations. Recently, various external knowledge bases (especially knowledg...	[ 7528, 43000 ]	Test
17,559	16	Title: Counterfactual Cross-modality Reasoning for Weakly Supervised Video Moment Localization Abstract: Video moment localization aims to retrieve the target segment of an untrimmed video according to the natural language query. Weakly supervised methods gains attention recently, as the precise temporal location of th...	[]	Train
17,560	4	Title: Hidden Markov models with random restarts versus boosting for malware detection Abstract: nan	[]	Test
17,561	4	Title: A Randomized Approach for Tight Privacy Accounting Abstract: Bounding privacy leakage over compositions, i.e., privacy accounting, is a key challenge in differential privacy (DP). However, the privacy parameter ($\varepsilon$ or $\delta$) is often easy to estimate but hard to bound. In this paper, we propose a n...	[ 17362, 2243 ]	Test
17,562	24	Title: A Scalable and Efficient Iterative Method for Copying Machine Learning Classifiers Abstract: Differential replication through copying refers to the process of replicating the decision behavior of a machine learning model using another model that possesses enhanced features and attributes. This process is relevan...	[]	Test
17,563	16	Title: Generating Reliable Pixel-Level Labels for Source Free Domain Adaptation Abstract: This work addresses the challenging domain adaptation setting in which knowledge from the labelled source domain dataset is available only from the pretrained black-box segmentation model. The pretrained model's predictions for th...	[]	Test
17,564	16	Title: Look, Remember and Reason: Visual Reasoning with Grounded Rationales Abstract: Large language models have recently shown human level performance on a variety of reasoning tasks. However, the ability of these models to perform complex visual reasoning has not been studied in detail yet. A key challenge in many vi...	[ 10624, 37987, 13700, 33220, 27282, 6963, 45242, 33853 ]	Train
17,565	24	Title: Probabilistic Attention based on Gaussian Processes for Deep Multiple Instance Learning Abstract: Multiple instance learning (MIL) is a weakly supervised learning paradigm that is becoming increasingly popular because it requires less labeling effort than fully supervised methods. This is especially interesting ...	[ 19264, 36934 ]	Train
17,566	4	Title: Amplification by Shuffling without Shuffling Abstract: Motivated by recent developments in the shuffle model of differential privacy, we propose a new approximate shuffling functionality called Alternating Shuffle, and provide a protocol implementing alternating shuffling in a single-server threat model where th...	[ 4097 ]	Train
17,567	16	Title: From Generation to Suppression: Towards Effective Irregular Glow Removal for Nighttime Visibility Enhancement Abstract: Most existing Low-Light Image Enhancement (LLIE) methods are primarily designed to improve brightness in dark regions, which suffer from severe degradation in nighttime images. However, these m...	[ 486 ]	Train
17,568	5	Title: Evaluating Total Environmental Impact for a Computing Infrastructure Abstract: In this paper we outline the results of a project to evaluate the total climate/carbon impact of a digital research infrastructure for a defined snapshot period. We outline the carbon model used to calculate the impact and the data co...	[]	Test
17,569	30	Title: Teaching Probabilistic Logical Reasoning to Transformers Abstract: Recent research on transformer-based language models investigates their reasoning ability over logical rules expressed in natural language text. However, their logic is not yet well-understood as we cannot explain the abstractions made by the mod...	[ 2258 ]	Train
17,570	4	Title: Chatbots in a Honeypot World Abstract: Question-and-answer agents like ChatGPT offer a novel tool for use as a potential honeypot interface in cyber security. By imitating Linux, Mac, and Windows terminal commands and providing an interface for TeamViewer, nmap, and ping, it is possible to create a dynamic envir...	[ 45664, 20487, 11273, 40585, 8715, 17930, 35596 ]	Test
17,571	27	Title: Accuracy evaluation of a Low-Cost Differential Global Positioning System for mobile robotics Abstract: Differential GPS, commonly referred as DGPS, is a well-known and very accurate localization system for many outdoor applications in particular for mobile outdoor robotics. The most common drawback of DGPS syste...	[]	Train
17,572	28	Title: The Privacy-Utility Tradeoff in Rank-Preserving Dataset Obfuscation Abstract: Dataset obfuscation refers to techniques in which random noise is added to the entries of a given dataset, prior to its public release, to protect against leakage of private information. In this work, dataset obfuscation under two obje...	[]	Test
17,573	4	Title: Global Differential Privacy for Distributed Metaverse Healthcare Systems Abstract: Metaverse-enabled digital healthcare systems are expected to exploit an unprecedented amount of personal health data, while ensuring that sensitive or private information of individuals are not disclosed. Machine learning and arti...	[ 38129, 45708, 44921, 32791 ]	Train
17,574	24	Title: Tensorized LSSVMs for Multitask Regression Abstract: Multitask learning (MTL) can utilize the relatedness between multiple tasks for performance improvement. The advent of multimodal data allows tasks to be referenced by multiple indices. High-order tensors are capable of providing efficient representations for ...	[ 11590 ]	Test
17,575	16	Title: Refining 3D Human Texture Estimation from a Single Image Abstract: Estimating 3D human texture from a single image is essential in graphics and vision. It requires learning a mapping function from input images of humans with diverse poses into the parametric (UV) space and reasonably hallucinating invisible part...	[]	Train
17,576	16	Title: Evaluating Synthetic Pre-Training for Handwriting Processing Tasks Abstract: In this work, we explore massive pre-training on synthetic word images for enhancing the performance on four benchmark downstream handwriting analysis tasks. To this end, we build a large synthetic dataset of word images rendered in sev...	[]	Validation
17,577	30	Title: TARJAMAT: Evaluation of Bard and ChatGPT on Machine Translation of Ten Arabic Varieties Abstract: Large language models (LLMs) finetuned to follow human instructions have recently emerged as a breakthrough in AI. Models such as Google Bard and OpenAI ChatGPT, for example, are surprisingly powerful tools for ques...	[ 5891, 13700, 31493, 1273, 21794, 43566, 43641, 38849, 33220, 2764, 46029, 26068, 12128, 35680, 14569, 39147, 26357, 3449, 35580, 1789, 15358 ]	Train

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