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
37,878	16	Title: Exemplar-Free Continual Transformer with Convolutions Abstract: Continual Learning (CL) involves training a machine learning model in a sequential manner to learn new information while retaining previously learned tasks without the presence of previous training data. Although there has been significant interest ...	[]	Train
37,879	24	Title: Stabilizing Unsupervised Environment Design with a Learned Adversary Abstract: A key challenge in training generally-capable agents is the design of training tasks that facilitate broad generalization and robustness to environment variations. This challenge motivates the problem setting of Unsupervised Environme...	[ 4822 ]	Validation
37,880	27	Title: Generalized Object Search Abstract: Future collaborative robots must be capable of finding objects. As such a fundamental skill, we expect object search to eventually become an off-the-shelf capability for any robot, similar to e.g., object detection, SLAM, and motion planning. However, existing approaches eithe...	[ 324 ]	Train
37,881	24	Title: Revisiting Deep Learning for Variable Type Recovery Abstract: Compiled binary executables are often the only available artifact in reverse engineering, malware analysis, and software systems maintenance. Unfortunately, the lack of semantic information like variable types makes comprehending binaries difficult. I...	[]	Test
37,882	16	Title: PCV: A Point Cloud-Based Network Verifier Abstract: 3D vision with real-time LiDAR-based point cloud data became a vital part of autonomous system research, especially perception and prediction modules use it for object classification, segmentation, and detection. Despite their success, point cloud-based network...	[]	Train
37,883	26	Title: MHVG2MTS: Multilayer Horizontal Visibility Graphs for Multivariate Time Series Analysis Abstract: Understanding the properties of time-indexed multivariate data has been a predominant topic mainly to address open issues in multivariate time series analysis, such as ﬁnding appropriate measures to analyze temporal...	[]	Test
37,884	16	Title: Stroke Extraction of Chinese Character Based on Deep Structure Deformable Image Registration Abstract: Stroke extraction of Chinese characters plays an important role in the field of character recognition and generation. The most existing character stroke extraction methods focus on image morphological features....	[]	Train
37,885	16	Title: GazeSAM: What You See is What You Segment Abstract: This study investigates the potential of eye-tracking technology and the Segment Anything Model (SAM) to design a collaborative human-computer interaction system that automates medical image segmentation. We present the \textbf{GazeSAM} system to enable radiolo...	[ 27729, 35263 ]	Test
37,886	34	Title: Static Pricing Guarantees for Queueing Systems Abstract: We consider a general queueing model with price-sensitive customers in which the service provider seeks to balance two objectives, maximizing the average revenue rate and minimizing the average queue length. Customers arrive according to a Poisson process,...	[]	Train
37,887	16	Title: ImageNet-E: Benchmarking Neural Network Robustness via Attribute Editing Abstract: Recent studies have shown that higher accuracy on ImageNet usually leads to better robustness against different corruptions. Therefore, in this paper, instead of following the traditional research paradigm that investigates new ou...	[ 13144, 22746, 16339, 32343 ]	Train
37,888	16	Title: NeRF-GAN Distillation for Efficient 3D-Aware Generation with Convolutions Abstract: Pose-conditioned convolutional generative models struggle with high-quality 3D-consistent image generation from single-view datasets, due to their lack of sufficient 3D priors. Recently, the integration of Neural Radiance Fields ...	[ 7076 ]	Validation
37,889	20	Title: Lower Bounds for Intersection Reporting among Flat Objects Abstract: Recently, Ezra and Sharir [ES22a] showed an $O(n^{3/2+\sigma})$ space and $O(n^{1/2+\sigma})$ query time data structure for ray shooting among triangles in $\mathbb{R}^3$. This improves the upper bound given by the classical $S(n)Q(n)^4=O(n^{4+...	[]	Train
37,890	37	Title: Benne: A Modular and Self-Optimizing Algorithm for Data Stream Clustering Abstract: In various real-world applications, ranging from the Internet of Things (IoT) to social media and financial systems, data stream clustering is a critical operation. This paper introduces Benne, a modular and highly configurable d...	[]	Test
37,891	30	Title: Augmenting Large Language Model Translators via Translation Memories Abstract: Using translation memories (TMs) as prompts is a promising approach to in-context learning of machine translation models. In this work, we take a step towards prompting large language models (LLMs) with TMs and making them better tran...	[ 14368, 27340 ]	Train
37,892	10	Title: Towards a Rigorous Analysis of Mutual Information in Contrastive Learning Abstract: Contrastive learning has emerged as a cornerstone in recent achievements of unsupervised representation learning. Its primary paradigm involves an instance discrimination task with a mutual information loss. The loss is known as ...	[]	Validation
37,893	16	Title: Flight Contrail Segmentation via Augmented Transfer Learning with Novel SR Loss Function in Hough Space Abstract: Air transport poses significant environmental challenges, particularly the contribution of flight contrails to climate change due to their potential global warming impact. Detecting contrails from sa...	[ 14393 ]	Train
37,894	16	Title: Flickr Africa: Examining Geo-Diversity in Large-Scale, Human-Centric Visual Data Abstract: Biases in large-scale image datasets are known to influence the performance of computer vision models as a function of geographic context. To investigate the limitations of standard Internet data collection methods in low-...	[]	Train
37,895	24	Title: Building Shortcuts between Distant Nodes with Biaffine Mapping for Graph Convolutional Networks Abstract: Multiple recent studies show a paradox in graph convolutional networks (GCNs), that is, shallow architectures limit the capability of learning information from high-order neighbors, while deep architectures ...	[]	Train
37,896	16	Title: SDRCNN: A Single-Scale Dense Residual Connected Convolutional Neural Network for Pansharpening Abstract: Pansharpening is a process of fusing a high spatial resolution panchromatic image and a low spatial resolution multispectral (MS) image to create a high-resolution MS image. A novel single-branch, single-scal...	[ 33571 ]	Test
37,897	24	Title: Learning to Do or Learning While Doing: Reinforcement Learning and Bayesian Optimisation for Online Continuous Tuning Abstract: Online tuning of real-world plants is a complex optimisation problem that continues to require manual intervention by experienced human operators. Autonomous tuning is a rapidly expandi...	[]	Train
37,898	24	Title: Decision Transformer under Random Frame Dropping Abstract: Controlling agents remotely with deep reinforcement learning~(DRL) in the real world is yet to come. One crucial stepping stone is to devise RL algorithms that are robust in the face of dropped information from corrupted communication or malfunctioning s...	[ 23307 ]	Validation
37,899	30	Title: Discern and Answer: Mitigating the Impact of Misinformation in Retrieval-Augmented Models with Discriminators Abstract: Most existing retrieval-augmented language models (LMs) for question answering assume all retrieved information is factually correct. In this work, we study a more realistic scenario in which r...	[]	Train
37,900	27	Title: Learning Agile, Vision-based Drone Flight: from Simulation to Reality Abstract: We present our latest research in learning deep sensorimotor policies for agile, vision-based quadrotor flight. We show methodologies for the successful transfer of such policies from simulation to the real world. In addition, we dis...	[]	Train
37,901	5	Title: The Art of the Fugue: Minimizing Interleaving in Collaborative Text Editing Abstract: Existing algorithms for replicated lists, which are widely used in collaborative text editors, suffer from a problem: when two users concurrently insert text at the same position in the document, the merged outcome may interlea...	[]	Train
37,902	24	Title: CoMIX: A Multi-agent Reinforcement Learning Training Architecture for Efficient Decentralized Coordination and Independent Decision Making Abstract: Robust coordination skills enable agents to operate cohesively in shared environments, together towards a common goal and, ideally, individually without hindering e...	[ 45484 ]	Train
37,903	27	Title: Sentiment-based Engagement Strategies for intuitive Human-Robot Interaction Abstract: Emotion expressions serve as important communicative signals and are crucial cues in intuitive interactions between humans. Hence, it is essential to include these fundamentals in robotic behavior strategies when interacting wi...	[]	Test
37,904	16	Title: PCBDet: An Efficient Deep Neural Network Object Detection Architecture for Automatic PCB Component Detection on the Edge Abstract: There can be numerous electronic components on a given PCB, making the task of visual inspection to detect defects very time-consuming and prone to error, especially at scale. There ...	[]	Train
37,905	24	Title: Tram-FL: Routing-based Model Training for Decentralized Federated Learning Abstract: In decentralized federated learning (DFL), substantial traffic from frequent inter-node communication and non-independent and identically distributed (non-IID) data challenges high-accuracy model acquisition. We propose Tram-FL,...	[]	Test
37,906	3	Title: Can large language models democratize access to dual-use biotechnology? Abstract: Large language models (LLMs) such as those embedded in 'chatbots' are accelerating and democratizing research by providing comprehensible information and expertise from many different fields. However, these models may also confer e...	[ 28896, 19337, 13073, 8853, 35927, 32410 ]	Validation
37,907	28	Title: Next-Generation Full Duplex Networking System Empowered by Reconfigurable Intelligent Surfaces Abstract: Full duplex (FD) radio has attracted extensive attention due to its co-time and co-frequency transceiving capability. {However, the potential gain brought by FD radios is closely related to the management of ...	[]	Validation
37,908	24	Title: Theoretical Analysis of Inductive Biases in Deep Convolutional Networks Abstract: In this paper, we study the inductive biases in convolutional neural networks (CNNs), which are believed to be vital drivers behind CNNs' exceptional performance on vision-like tasks. We first analyze the universality of CNNs, i.e....	[]	Train
37,909	31	Title: Stat-Weight: Improving the Estimator of Interleaved Methods Outcomes with Statistical Hypothesis Testing Abstract: nan	[]	Validation
37,910	23	Title: A Survey on Automated Software Vulnerability Detection Using Machine Learning and Deep Learning Abstract: Software vulnerability detection is critical in software security because it identifies potential bugs in software systems, enabling immediate remediation and mitigation measures to be implemented before the...	[ 22113, 39265 ]	Validation
37,911	6	Title: The influence of user personality and rating scale features on rating behaviour: an empirical study Abstract: User ratings are widely used in web systems and applications to provide personalized interaction and to help other users make better choices. Previous research has shown that rating scale features and us...	[]	Train
37,912	8	Title: Asynchronous multi-class traffic management in wide area networks Abstract: The emergence of new applications brings multi-class traffic with diverse quality of service (QoS) demands in wide area networks (WANs), which motivates the research in traffic engineering (TE). In recent years, novel centralized TE sche...	[]	Train
37,913	24	Title: Unsupervised Ensemble Methods for Anomaly Detection in PLC-based Process Control Abstract: Programmable logic controller (PLC) based industrial control systems (ICS) are used to monitor and control critical infrastructure. Integration of communication networks and an Internet of Things approach in ICS has increa...	[ 19038 ]	Test
37,914	16	Title: Mobile User Interface Element Detection Via Adaptively Prompt Tuning Abstract: Recent object detection approaches rely on pretrained vision-language models for image-text alignment. However, they fail to detect the Mobile User Interface (MUI) element since it contains additional OCR information, which describes ...	[]	Train
37,915	16	Title: InfraDet3D: Multi-Modal 3D Object Detection based on Roadside Infrastructure Camera and LiDAR Sensors Abstract: Current multi-modal object detection approaches focus on the vehicle domain and are limited in the perception range and the processing capabilities. Roadside sensor units (RSUs) introduce a new domain ...	[ 11819, 44574 ]	Train
37,916	3	Title: A Friendly Face: Do Text-to-Image Systems Rely on Stereotypes when the Input is Under-Specified? Abstract: As text-to-image systems continue to grow in popularity with the general public, questions have arisen about bias and diversity in the generated images. Here, we investigate properties of images generated i...	[ 15745, 5725, 27301, 18314, 30737, 12951, 9181 ]	Train
37,917	24	Title: Learn to Accumulate Evidence from All Training Samples: Theory and Practice Abstract: Evidential deep learning, built upon belief theory and subjective logic, offers a principled and computationally efficient way to turn a deterministic neural network uncertainty-aware. The resultant evidential models can quanti...	[]	Validation
37,918	16	Title: A Review of Predictive and Contrastive Self-supervised Learning for Medical Images Abstract: nan	[]	Validation
37,919	30	Title: Parameter-Efficient Fine-Tuning Design Spaces Abstract: Parameter-efficient fine-tuning aims to achieve performance comparable to fine-tuning, using fewer trainable parameters. Several strategies (e.g., Adapters, prefix tuning, BitFit, and LoRA) have been proposed. However, their designs are hand-crafted separat...	[ 23745, 44482, 39846, 15849, 32176, 38453, 31158, 36569 ]	Validation
37,920	10	Title: SharpSAT-TD in Model Counting Competitions 2021-2023 Abstract: We describe SharpSAT-TD, our submission to the unweighted and weighted tracks of the Model Counting Competition in 2021-2023, which has won in total $6$ first places in different tracks of the competition. SharpSAT-TD is based on SharpSAT [Thurley, S...	[]	Train
37,921	30	Title: GLEN: General-Purpose Event Detection for Thousands of Types Abstract: The development of event extraction systems has been hindered by the absence of wide-coverage, large-scale datasets. To make event extraction systems more accessible, we build a general-purpose event detection dataset GLEN, which covers 3,465...	[ 36178 ]	Train
37,922	30	Title: Predicting Perfect Quality Segments in MT Output with Fine-Tuned OpenAI LLM: Is it possible to capture editing distance patterns from historical data? Abstract: Translation Quality Estimation (TQE) is an essential step before deploying the output translation into usage. TQE is also critical in assessing machine ...	[]	Train
37,923	16	Title: LEyes: A Lightweight Framework for Deep Learning-Based Eye Tracking using Synthetic Eye Images Abstract: Deep learning has bolstered gaze estimation techniques, but real-world deployment has been impeded by inadequate training datasets. This problem is exacerbated by both hardware-induced variations in eye image...	[]	Validation
37,924	27	Title: The interplay of fatigue dynamics and task achievement using optimal control predictive simulation Abstract: Predictive simulation of human motion could provide insight into optimal techniques. In repetitive or long-duration tasks, these simulations must predict fatigue-induced adaptation. However, most studies ...	[]	Test
37,925	31	Title: A Privacy Preserving System for Movie Recommendations using Federated Learning Abstract: Recommender systems have become ubiquitous in the past years. They solve the tyranny of choice problem faced by many users, and are employed by many online businesses to drive engagement and sales. Besides other criticisms, ...	[]	Train
37,926	16	Title: X-Detect: Explainable Adversarial Patch Detection for Object Detectors in Retail Abstract: Object detection models, which are widely used in various domains (such as retail), have been shown to be vulnerable to adversarial attacks. Existing methods for detecting adversarial attacks on object detectors have had d...	[]	Train
37,927	24	Title: Computation and Communication Efficient Federated Learning over Wireless Networks Abstract: Federated learning (FL) allows model training from local data by edge devices while preserving data privacy. However, the learning accuracy decreases due to the heterogeneity of devices data, and the computation and commu...	[ 35692, 6764, 20743 ]	Train
37,928	24	Title: Free Lunch for Privacy Preserving Distributed Graph Learning Abstract: Learning on graphs is becoming prevalent in a wide range of applications including social networks, robotics, communication, medicine, etc. These datasets belonging to entities often contain critical private information. The utilization of da...	[]	Train
37,929	5	Title: TACOS: Topology-Aware Collective Algorithm Synthesizer for Distributed Training Abstract: Collective communications are an indispensable part of distributed training. Running a topology-aware collective algorithm is crucial for optimizing communication performance by minimizing congestion. Today such algorithms ...	[ 38659 ]	Train
37,930	16	Title: MagiCapture: High-Resolution Multi-Concept Portrait Customization Abstract: Large-scale text-to-image models including Stable Diffusion are capable of generating high-fidelity photorealistic portrait images. There is an active research area dedicated to personalizing these models, aiming to synthesize specific s...	[ 26809, 18205 ]	Test
37,931	30	Title: Can GPT-4 Support Analysis of Textual Data in Tasks Requiring Highly Specialized Domain Expertise? Abstract: We evaluated the capability of generative pre-trained transformers~(GPT-4) in analysis of textual data in tasks that require highly specialized domain expertise. Specifically, we focused on the task of an...	[ 29249, 4674, 21794, 27880, 16430, 36751, 29072, 20757, 6810, 39642, 1050, 39834 ]	Train
37,932	16	Title: Textureless Deformable Surface Reconstruction with Invisible Markers Abstract: Reconstructing and tracking deformable surface with little or no texture has posed long-standing challenges. Fundamentally, the challenges stem from textureless surfaces lacking features for establishing cross-image correspondences. I...	[]	Train
37,933	24	Title: Pus$\mathbb{H}$: Concurrent Probabilistic Programming with Function Spaces Abstract: We introduce a prototype probabilistic programming language (PPL) called Pus$\mathbb{H}$ for performing Bayesian inference on function spaces with a focus on Bayesian deep learning (BDL). We describe the core abstraction of Pus$...	[]	Train
37,934	24	Title: Optimization and Interpretability of Graph Attention Networks for Small Sparse Graph Structures in Automotive Applications Abstract: For automotive applications, the Graph Attention Network (GAT) is a prominently used architecture to include relational information of a traffic scenario during feature embedding. ...	[ 2587 ]	Train
37,935	30	Title: Generating EDU Extracts for Plan-Guided Summary Re-Ranking Abstract: Two-step approaches, in which summary candidates are generated-then-reranked to return a single summary, can improve ROUGE scores over the standard single-step approach. Yet, standard decoding methods (i.e., beam search, nucleus sampling, and d...	[ 3289, 41706, 21363, 28151 ]	Train
37,936	26	Title: Using Adamic-Adar Index Algorithm to Predict Volunteer Collaboration: Less is More Abstract: Social networks exhibit a complex graph-like structure due to the uncertainty surrounding potential collaborations among participants. Machine learning algorithms possess generic outstanding performance in multiple real-...	[]	Validation
37,937	17	Title: Transfer Function Optimization for Comparative Volume Rendering Abstract: Direct volume rendering is often used to compare different 3D scalar fields. The choice of the transfer function which maps scalar values to color and opacity plays a critical role in this task. We present a technique for the automatic opt...	[]	Train
37,938	2	Title: Policy Synthesis and Reinforcement Learning for Discounted LTL Abstract: The difficulty of manually specifying reward functions has led to an interest in using linear temporal logic (LTL) to express objectives for reinforcement learning (RL). However, LTL has the downside that it is sensitive to small perturbati...	[]	Test
37,939	16	Title: Random Boxes Are Open-world Object Detectors Abstract: We show that classifiers trained with random region proposals achieve state-of-the-art Open-world Object Detection (OWOD): they can not only maintain the accuracy of the known objects (w/ training labels), but also considerably improve the recall of unknown ...	[]	Train
37,940	37	Title: Rethinking Similarity Search: Embracing Smarter Mechanisms over Smarter Data Abstract: In this vision paper, we propose a shift in perspective for improving the effectiveness of similarity search. Rather than focusing solely on enhancing the data quality, particularly machine learning-generated embeddings, we ad...	[ 29561 ]	Train
37,941	30	Title: Emotion Detection in Unfix-length-Context Conversation Abstract: We leverage different context windows when predicting the emotion of different utterances. New modules are included to realize variable-length context: 1) two speaker-aware units, which explicitly model inner- and inter-speaker dependencies to form...	[]	Train
37,942	24	Title: Learnability and Algorithm for Continual Learning Abstract: This paper studies the challenging continual learning (CL) setting of Class Incremental Learning (CIL). CIL learns a sequence of tasks consisting of disjoint sets of concepts or classes. At any time, a single model is built that can be applied to predic...	[ 11609, 9367 ]	Train
37,943	24	Title: Stability-based Generalization Analysis for Mixtures of Pointwise and Pairwise Learning Abstract: Recently, some mixture algorithms of pointwise and pairwise learning (PPL) have been formulated by employing the hybrid error metric of “pointwise loss + pairwise loss” and have shown empirical effectiveness on feat...	[]	Validation
37,944	16	Title: Real-Time Dense 3D Mapping of Underwater Environments Abstract: This paper addresses real-time dense 3D reconstruction for a resource-constrained Autonomous Underwater Vehicle (AUV). Underwater vision-guided operations are among the most challenging as they combine 3D motion in the presence of external forces, l...	[ 30238 ]	Test
37,945	16	Title: Seeing the Intangible: Surveying Automatic High-Level Visual Understanding from Still Images Abstract: The field of Computer Vision (CV) was born with the single grand goal of complete image understanding: providing a complete semantic interpretation of an input image. What exactly this goal entails is not immed...	[]	Test
37,946	30	Title: ZhichunRoad at Amazon KDD Cup 2022: MultiTask Pre-Training for E-Commerce Product Search Abstract: In this paper, we propose a robust multilingual model to improve the quality of search results. Our model not only leverage the processed class-balanced dataset, but also benefit from multitask pre-training that le...	[]	Validation
37,947	30	Title: Can LLMs Express Their Uncertainty? An Empirical Evaluation of Confidence Elicitation in LLMs Abstract: The task of empowering large language models (LLMs) to accurately express their confidence, referred to as confidence elicitation, is essential in ensuring reliable and trustworthy decision-making processes. P...	[ 12896, 13700, 26792, 17801, 38697, 24975, 40882, 17299 ]	Train
37,948	24	Title: Additive Causal Bandits with Unknown Graph Abstract: We explore algorithms to select actions in the causal bandit setting where the learner can choose to intervene on a set of random variables related by a causal graph, and the learner sequentially chooses interventions and observes a sample from the interventio...	[]	Train
37,949	24	Title: SageFormer: Series-Aware Graph-Enhanced Transformers for Multivariate Time Series Forecasting Abstract: Multivariate time series forecasting plays a critical role in diverse domains. While recent advancements in deep learning methods, especially Transformers, have shown promise, there remains a gap in addressing...	[ 16576, 28917 ]	Train
37,950	10	Title: Planning Landmark Based Goal Recognition Revisited: Does Using Initial State Landmarks Make Sense? Abstract: Goal recognition is an important problem in many application domains (e.g., pervasive computing, intrusion detection, computer games, etc.). In many application scenarios, it is important that goal recogn...	[]	Train
37,951	16	Title: Flexible and Fully Quantized Ultra-Lightweight TinyissimoYOLO for Ultra-Low-Power Edge Systems Abstract: This paper deploys and explores variants of TinyissimoYOLO, a highly flexible and fully quantized ultra-lightweight object detection network designed for edge systems with a power envelope of a few milliwatts...	[ 4580, 18725, 19031 ]	Test
37,952	24	Title: Adapting to Continuous Covariate Shift via Online Density Ratio Estimation Abstract: Dealing with distribution shifts is one of the central challenges for modern machine learning. One fundamental situation is the \emph{covariate shift}, where the input distributions of data change from training to testing stages...	[ 29768 ]	Train
37,953	30	Title: CLICKER: Attention-Based Cross-Lingual Commonsense Knowledge Transfer Abstract: Recent advances in cross-lingual commonsense reasoning (CSR) are facilitated by the development of multilingual pre-trained models (mPTMs). While mPTMs show the potential to encode commonsense knowledge for different languages, trans...	[]	Train
37,954	3	Title: Better Balance in Informatics: An Honest Discussion with Students Abstract: In recent years, there has been considerable effort to promote gender balance in the academic environment of Computer Science (CS). However, there is still a gender gap at all CS academic levels: from students, to PhD candidates, to facu...	[]	Train
37,955	24	Title: Advancing Personalized Federated Learning: Group Privacy, Fairness, and Beyond Abstract: Federated learning (FL) is a framework for training machine learning models in a distributed and collaborative manner. During training, a set of participating clients process their data stored locally, sharing only the model...	[]	Validation
37,956	24	Title: A Unifying Generator Loss Function for Generative Adversarial Networks Abstract: A unifying $\alpha$-parametrized generator loss function is introduced for a dual-objective generative adversarial network (GAN), which uses a canonical (or classical) discriminator loss function such as the one in the original GAN ...	[]	Train
37,957	30	Title: RESDSQL: Decoupling Schema Linking and Skeleton Parsing for Text-to-SQL Abstract: One of the recent best attempts at Text-to-SQL is the pre-trained language model. Due to the structural property of the SQL queries, the seq2seq model takes the responsibility of parsing both the schema items (i.e., tables and colu...	[ 7174, 44269, 30958, 28982, 23832, 26393, 32730, 26748, 28221 ]	Train
37,958	27	Title: Design of Soft, Modular Appendages for a Bio-inspired Multi-Legged Terrestrial Robot Abstract: Soft robots have the ability to adapt to their environment, which makes them suitable for use in disaster areas and agricultural fields, where their mobility is constrained by complex terrain. One of the main challenge...	[]	Train
37,959	22	Title: Hardware-Aware Static Optimization of Hyperdimensional Computations Abstract: Binary spatter code (BSC)-based hyperdimensional computing (HDC) is a highly error-resilient approximate computational paradigm suited for error-prone, emerging hardware platforms. In BSC HDC, the basic datatype is a hypervector, a typ...	[ 28451, 45917 ]	Train
37,960	13	Title: Covariance Matrix Adaptation Evolutionary Strategy with Worst-Case Ranking Approximation for Min–Max Optimization and Its Application to Berthing Control Tasks Abstract: In this study, we consider a continuous min–max optimization problem minx ∈ 𝕏 maxy ∈ 𝕐 f(x, y) whose objective function is a black-box. We pr...	[]	Train
37,961	24	Title: Model-Free Algorithm with Improved Sample Efficiency for Zero-Sum Markov Games Abstract: The problem of two-player zero-sum Markov games has recently attracted increasing interests in theoretical studies of multi-agent reinforcement learning (RL). In particular, for finite-horizon episodic Markov decision proces...	[ 2520, 40550 ]	Train
37,962	7	Title: Measuring ancient technological complexity and its cognitive implications using Petri nets Abstract: We implement a method from computer sciences to address a challenge in Paleolithic archaeology: how to infer cognition differences from material culture. Archaeological material culture is linked to cognition: mo...	[]	Train
37,963	24	Title: Why Batch Normalization Damage Federated Learning on Non-IID Data? Abstract: As a promising distributed learning paradigm, federated learning (FL) involves training deep neural network (DNN) models at the network edge while protecting the privacy of the edge clients. To train a large-scale DNN model, batch norma...	[ 4346, 5636, 41278 ]	Train
37,964	36	Title: Mean Payoff Optimization for Systems of Periodic Service and Maintenance Abstract: Consider oriented graph nodes requiring periodic visits by a service agent. The agent moves among the nodes and receives a payoff for each completed service task, depending on the time elapsed since the previous visit to a node. W...	[]	Test
37,965	16	Title: Collect-and-Distribute Transformer for 3D Point Cloud Analysis Abstract: Although remarkable advancements have been made recently in point cloud analysis through the exploration of transformer architecture, it remains challenging to effectively learn local and global structures within point clouds. In this paper...	[]	Train
37,966	24	Title: Time-to-Pattern: Information-Theoretic Unsupervised Learning for Scalable Time Series Summarization Abstract: Data summarization is the process of generating interpretable and representative subsets from a dataset. Existing time series summarization approaches often search for recurring subsequences using a set ...	[]	Train
37,967	16	Title: Fully Convolutional Networks for Dense Water Flow Intensity Prediction in Swedish Catchment Areas Abstract: Intensifying climate change will lead to more extreme weather events, including heavy rainfall and drought. Accurate streamflow prediction models which are adaptable and robust to new circumstances in a ch...	[]	Train
37,968	27	Title: Perirobot space representation for HRI: measuring and designing collaborative workspace coverage by diverse sensors Abstract: Two regimes permitting safe physical human-robot interaction, speed and separation monitoring and safety-rated monitored stop, depend on reliable perception of the space surrounding the r...	[]	Test
37,969	16	Title: Leveraging Multi-view Data for Improved Detection Performance: An Industrial Use Case Abstract: Printed circuit boards (PCBs) are essential components of electronic devices, and ensuring their quality is crucial in their production. However, the vast variety of components and PCBs manufactured by different compa...	[]	Train
37,970	4	Title: Better Prefix Authentication Abstract: We present new schemes for solving prefix authentication and secure relative timestamping. By casting a new light on antimonotone linking schemes, we improve upon the state of the art in prefix authentication, and in timestamping with rounds of bounded length. Our designs c...	[]	Test
37,971	4	Title: Unveiling the Sentinels: Assessing AI Performance in Cybersecurity Peer Review Abstract: Peer review is the method employed by the scientific community for evaluating research advancements. In the field of cybersecurity, the practice of double-blind peer review is the de-facto standard. This paper touches on the...	[ 28809, 13510 ]	Validation
37,972	16	Title: A spatio-temporal network for video semantic segmentation in surgical videos Abstract: nan	[]	Test
37,973	24	Title: Ordinal Regression for Difficulty Estimation of StepMania Levels Abstract: StepMania is a popular open-source clone of a rhythm-based video game. As is common in popular games, there is a large number of community-designed levels. It is often difficult for players and level authors to determine the difficulty le...	[ 10393 ]	Train
37,974	27	Title: Multi-Agent Path Integral Control for Interaction-Aware Motion Planning in Urban Canals Abstract: Autonomous vehicles that operate in urban environments shall comply with existing rules and reason about the interactions with other decision-making agents. In this paper, we introduce a decentralized and communicat...	[]	Train
37,975	6	Title: Decoding Natural Images from EEG for Object Recognition Abstract: Electroencephalogram (EEG) is a brain signal known for its high time resolution and moderate signal-to-noise ratio. Whether natural images can be decoded from EEG has been a hot issue recently. In this paper, we propose a self-supervised framework...	[]	Train
37,976	10	Title: Controller Synthesis for Timeline-based Games Abstract: In the timeline-based approach to planning, originally born in the space sector, the evolution over time of a set of state variables (the timelines) is governed by a set of temporal constraints. Traditional timeline-based planning systems excel at the integ...	[]	Validation
37,977	16	Title: Integrating Geometric Control into Text-to-Image Diffusion Models for High-Quality Detection Data Generation via Text Prompt Abstract: Diffusion models have attracted significant attention due to their remarkable ability to create content and generate data for tasks such as image classification. However, the usa...	[ 22616, 41146, 40699 ]	Test

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