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
32,978	27	Title: Arena-Rosnav 2.0: A Development and Benchmarking Platform for Robot Navigation in Highly Dynamic Environments Abstract: Following up on our previous works, in this paper, we present Arena-Rosnav 2.0 an extension to our previous works Arena-Bench and Arena-Rosnav, which adds a variety of additional modules for de...	[ 14493 ]	Test
32,979	2	Title: On simple expectations and observations of intelligent agents: A complexity study Abstract: Public observation logic (POL) reasons about agent expectations and agent observations in various real world situations. The expectations of agents take shape based on certain protocols about the world around and they rem...	[]	Train
32,980	16	Title: HOLODIFFUSION: Training a 3D Diffusion Model Using 2D Images Abstract: Diffusion models have emerged as the best approach for generative modeling of 2D images. Part of their success is due to the possibility of training them on millions if not billions of images with a stable learning objective. However, extendi...	[ 11332, 38374, 13319, 3912, 23051, 39340, 21014, 2583, 41174, 10942 ]	Train
32,981	26	Title: On the rise of fear speech in online social media Abstract: Significance Existential fear has always been a concern across human history and even transcends to the rest of the animal world. This fear is so deeply ingrained that even the slightest “knock” to it could spark a violent conflict among different group...	[ 6233, 28369 ]	Validation
32,982	34	Title: A bounded partition approach to identifying one fake coin and its type Abstract: Fake coin problems using balance scales to identify one fake coin and its type among n coins (n>2) were solved by Dyson in 1946. Dyson gave adaptive solutions with the minimum number of weighings where later weighings may be depende...	[]	Validation
32,983	4	Title: LSTM based IoT Device Identification Abstract: While the use of the Internet of Things is becoming more and more popular, many security vulnerabilities are emerging with the large number of devices being introduced to the market. In this environment, IoT device identification methods provide a preventive securit...	[]	Train
32,984	16	Title: A Symmetric Dual Encoding Dense Retrieval Framework for Knowledge-Intensive Visual Question Answering Abstract: Knowledge-Intensive Visual Question Answering (KI-VQA) refers to answering a question about an image whose answer does not lie in the image. This paper presents a new pipeline for KI-VQA tasks, consist...	[ 17345 ]	Validation
32,985	24	Title: How to Mask in Error Correction Code Transformer: Systematic and Double Masking Abstract: In communication and storage systems, error correction codes (ECCs) are pivotal in ensuring data reliability. As deep learning's applicability has broadened across diverse domains, there is a growing research focus on neura...	[]	Train
32,986	16	Title: MaskCon: Masked Contrastive Learning for Coarse-Labelled Dataset Abstract: Deep learning has achieved great success in recent years with the aid of advanced neural network structures and large-scale human-annotated datasets. However, it is often costly and difficult to accurately and efficiently annotate large-s...	[]	Train
32,987	30	Title: Knowledge-Augmented Language Model Prompting for Zero-Shot Knowledge Graph Question Answering Abstract: Large Language Models (LLMs) are capable of performing zero-shot closed-book question answering tasks, based on their internal knowledge stored in parameters during pre-training. However, such internalized kno...	[ 33817, 28294 ]	Train
32,988	24	Title: Representation Learning for Sequential Volumetric Design Tasks Abstract: Volumetric design, also called massing design, is the first and critical step in professional building design which is sequential in nature. As the volumetric design process is complex, the underlying sequential design process encodes valua...	[]	Train
32,989	30	Title: Large Language Models are Few-Shot Health Learners Abstract: Large language models (LLMs) can capture rich representations of concepts that are useful for real-world tasks. However, language alone is limited. While existing LLMs excel at text-based inferences, health applications require that models be grounded ...	[ 13700, 18404, 45100, 10221, 34545, 26293, 43415 ]	Train
32,990	2	Title: Scalable Probabilistic Routes Abstract: Inference and prediction of routes have become of interest over the past decade owing to a dramatic increase in package delivery and ride-sharing services. Given the underlying combinatorial structure and the incorporation of probabilities, route prediction involves techni...	[ 13324 ]	Test
32,991	24	Title: Approximate information state based convergence analysis of recurrent Q-learning Abstract: In spite of the large literature on reinforcement learning (RL) algorithms for partially observable Markov decision processes (POMDPs), a complete theoretical understanding is still lacking. In a partially observable setti...	[]	Validation
32,992	24	Title: Efficient Quantization-aware Training with Adaptive Coreset Selection Abstract: The expanding model size and computation of deep neural networks (DNNs) have increased the demand for efficient model deployment methods. Quantization-aware training (QAT) is a representative model compression method to leverage redu...	[]	Train
32,993	16	Title: ACR: Attention Collaboration-based Regressor for Arbitrary Two-Hand Reconstruction Abstract: Reconstructing two hands from monocular RGB images is challenging due to frequent occlusion and mutual confusion. Existing methods mainly learn an entangled representation to encode two interacting hands, which are in-cr...	[ 1691, 4477 ]	Train
32,994	25	Title: Large-Scale Learning on Overlapped Speech Detection: New Benchmark and New General System Abstract: Overlapped Speech Detection (OSD) is an important part of speech applications involving analysis of multi-party conversations. However, most of existing OSD systems are trained and evaluated on small datasets with...	[]	Train
32,995	16	Title: Semantic and Articulated Pedestrian Sensing Onboard a Moving Vehicle Abstract: It is difficult to perform 3D reconstruction from on-vehicle gathered video due to the large forward motion of the vehicle. Even object detection and human sensing models perform significantly worse on onboard videos when compared to ...	[ 4608, 17633, 41153, 35875, 43465, 9419, 28141, 36589, 22767, 37133, 13393, 45083, 33277, 25694, 45087 ]	Train
32,996	5	Title: GPU-enabled Function-as-a-Service for Machine Learning Inference Abstract: Function-as-a-Service (FaaS) is emerging as an important cloud computing service model as it can improve the scalability and usability of a wide range of applications, especially Machine-Learning (ML) inference tasks that require scalable...	[]	Train
32,997	24	Title: adSformers: Personalization from Short-Term Sequences and Diversity of Representations in Etsy Ads Abstract: In this article, we present a general approach to personalizing ads through encoding and learning from variable-length sequences of recent user actions and diverse representations. To this end we introduc...	[ 25400 ]	Train
32,998	24	Title: NF4 Isn't Information Theoretically Optimal (and that's Good) Abstract: This note shares some simple calculations and experiments related to absmax-based blockwise quantization, as used in Dettmers et al., 2023. Their proposed NF4 data type is said to be information theoretically optimal for representing normall...	[ 13700, 5815 ]	Train
32,999	15	Title: Implementing Performance Portability of High Performance Computing Programs in the New Golden Age of Chip Architecture Abstract: As an important goal of high-performance computing, the concept of performance portability has been around for many years. As the failure of Moore's Law, it is no longer feasible to im...	[]	Train
33,000	30	Title: Improving Empathetic Dialogue Generation by Dynamically Infusing Commonsense Knowledge Abstract: In empathetic conversations, individuals express their empathy towards others. Previous work has mainly focused on generating empathetic responses by utilizing the speaker's emotion. Besides, external commonsense kno...	[]	Test
33,001	16	Title: Background Matters: Enhancing Out-of-distribution Detection with Domain Features Abstract: Detecting out-of-distribution (OOD) inputs is a principal task for ensuring the safety of deploying deep-neural-network classifiers in open-world scenarios. OOD samples can be drawn from arbitrary distributions and exhibit...	[]	Train
33,002	24	Title: Winner-Take-All Column Row Sampling for Memory Efficient Adaptation of Language Model Abstract: With the rapid growth in model size, fine-tuning the large pre-trained language model has become increasingly difficult due to its extensive memory usage. Previous works usually focus on reducing the number of trainab...	[ 25936, 642, 35388, 7351 ]	Test
33,003	30	Title: Towards hypergraph cognitive networks as feature-rich models of knowledge Abstract: nan	[]	Train
33,004	30	Title: Bringing order into the realm of Transformer-based language models for artificial intelligence and law Abstract: Transformer-based language models (TLMs) have widely been recognized to be a cutting-edge technology for the successful development of deep-learning-based solutions to problems and applications that r...	[]	Test
33,005	27	Title: Hardware-in-the-Loop and Road Testing of RLVW and GLOSA Connected Vehicle Applications Abstract: This paper presents an evaluation of two different Vehicle to Infrastructure (V2I) applications, namely Red Light Violation Warning (RLVW) and Green Light Optimized Speed Advisory (GLOSA). The evaluation method is to...	[ 11769, 25446, 30613, 10422 ]	Validation
33,006	13	Title: The Quality-Diversity Transformer: Generating Behavior-Conditioned Trajectories with Decision Transformers Abstract: In the context of neuroevolution, Quality-Diversity algorithms have proven effective in generating repertoires of diverse and efficient policies by relying on the definition of a behavior space. A...	[ 34624, 42292, 39158, 8023, 23261 ]	Train
33,007	16	Title: ECL: Class-Enhancement Contrastive Learning for Long-tailed Skin Lesion Classification Abstract: Skin image datasets often suffer from imbalanced data distribution, exacerbating the difficulty of computer-aided skin disease diagnosis. Some recent works exploit supervised contrastive learning (SCL) for this long-...	[]	Train
33,008	23	Title: Requirements Engineering, Software Testing and Education: A Systematic Mapping Abstract: The activities of requirements engineering and software testing are intrinsically related to each other, as these two areas are linked when seeking to specify and also ensure the expectations of a software product, with qual...	[ 10714, 46127 ]	Train
33,009	30	Title: Relational Temporal Graph Reasoning for Dual-task Dialogue Language Understanding Abstract: Dual-task dialog language understanding aims to tackle two correlative dialog language understanding tasks simultaneously via leveraging their inherent correlations. In this paper, we put forward a new framework, whose co...	[]	Train
33,010	24	Title: Distilling Universal and Joint Knowledge for Cross-Domain Model Compression on Time Series Data Abstract: For many real-world time series tasks, the computational complexity of prevalent deep leaning models often hinders the deployment on resource limited environments (e.g., smartphones). Moreover, due to the in...	[]	Train
33,011	28	Title: List Privacy Under Function Recoverability Abstract: For a given function of user data, a querier must recover with at least a prescribed probability, the value of the function based on a user-provided query response. Subject to this requirement, the user forms the query response so as to minimize the likelihood...	[]	Test
33,012	28	Title: Characterization and mass formulas of symplectic self-orthogonal and LCD codes and their application Abstract: The object of this paper is to study two very important classes of codes in coding theory, namely self-orthogonal (SO) and linear complementary dual (LCD) codes under the symplectic inner product, invol...	[]	Train
33,013	22	Title: Code Execution with Pre-trained Language Models Abstract: Code execution is a fundamental aspect of programming language semantics that reflects the exact behavior of the code. However, most pre-trained models for code intelligence ignore the execution trace and only rely on source code and syntactic structures....	[ 9841, 30697 ]	Train
33,014	16	Title: Semantic Prompt for Few-Shot Image Recognition Abstract: Few-shot learning is a challenging problem since only a few examples are provided to recognize a new class. Several recent studies exploit additional semantic information, e.g. text embeddings of class names, to address the issue of rare samples through co...	[ 1140 ]	Test
33,015	30	Title: CATS: A Pragmatic Chinese Answer-to-Sequence Dataset with Large Scale and High Quality Abstract: There are three problems existing in the popular data-to-text datasets. First, the large-scale datasets either contain noise or lack real application scenarios. Second, the datasets close to real applications are rel...	[]	Train
33,016	30	Title: Ericson: An Interactive Open-Domain Conversational Search Agent Abstract: Open-domain conversational search (ODCS) aims to provide valuable, up-to-date information, while maintaining natural conversations to help users refine and ultimately answer information needs. However, creating an effective and robust ODCS...	[]	Test
33,017	8	Title: Open Source Reconfigurable Intelligent Surface for the Frequency Range of 5 GHz WiFi Abstract: Reconfigurable Intelligent Surfaces (RIS) have been identified as a potential ingredient to enhance the performance of contemporary wireless communication and sensing systems. Yet, most of the existing devices are eith...	[]	Train
33,018	24	Title: Causal Deep Learning: Causal Capsules and Tensor Transformers Abstract: We derive a set of causal deep neural networks whose architectures are a consequence of tensor (multilinear) factor analysis. Forward causal questions are addressed with a neural network architecture composed of causal capsules and a tensor ...	[ 40727 ]	Train
33,019	30	Title: Probing the Role of Positional Information in Vision-Language Models Abstract: In most Vision-Language models (VL), the understanding of the image structure is enabled by injecting the position information (PI) about objects in the image. In our case study of LXMERT, a state-of-the-art VL model, we probe the use...	[ 36128, 36966, 24607 ]	Train
33,020	24	Title: Comparing Foundation Models using Data Kernels Abstract: Recent advances in self-supervised learning and neural network scaling have enabled the creation of large models, known as foundation models, which can be easily adapted to a wide range of downstream tasks. The current paradigm for comparing foundation mod...	[ 7351 ]	Train
33,021	27	Title: Reinforcement learning for safety-critical control of an automated vehicle Abstract: We present our approach for the development, validation and deployment of a data-driven decision-making function for the automated control of a vehicle. The decisionmaking function, based on an artificial neural network is train...	[]	Validation
33,022	27	Title: HISSbot: Sidewinding with a Soft Snake Robot Abstract: Snake robots are characterized by their ability to navigate through small spaces and loose terrain by utilizing efficient cyclic forms of locomotion. Soft snake robots are a subset of these robots which utilize soft, compliant actuators to produce movement. ...	[ 21924, 40814 ]	Train
33,023	24	Title: Towards Understanding How Self-training Tolerates Data Backdoor Poisoning Abstract: Recent studies on backdoor attacks in model training have shown that polluting a small portion of training data is sufficient to produce incorrect manipulated predictions on poisoned test-time data while maintaining high clean ac...	[]	Validation
33,024	34	Title: (Noisy) Gap Cycle Counting Strikes Back: Random Order Streaming Lower Bounds for Connected Components and Beyond Abstract: We continue the study of the communication complexity of gap cycle counting problems. These problems have been introduced by Verbin and Yu [SODA 2011] and have found numerous applications in...	[ 31389 ]	Train
33,025	27	Title: A novel integrated method of detection-grasping for specific object based on the box coordinate matching Abstract: To better care for the elderly and disabled, it is essential for service robots to have an effective fusion method of object detection and grasp estimation. However, limited research has been observ...	[]	Validation
33,026	24	Title: Quadratic Matrix Factorization with Applications to Manifold Learning Abstract: Matrix factorization is a popular framework for modeling low-rank data matrices. Motivated by manifold learning problems, this paper proposes a quadratic matrix factorization (QMF) framework to learn the curved manifold on which the ...	[ 19346 ]	Train
33,027	24	Title: A Machine Learning Framework to Deconstruct the Primary Drivers for Electricity Market Price Events Abstract: Power grids are moving towards 100% renewable energy source bulk power grids, and the overall dynamics of power system operations and electricity markets are changing. The electricity markets are not onl...	[]	Train
33,028	16	Title: Self-aware and Cross-sample Prototypical Learning for Semi-supervised Medical Image Segmentation Abstract: Consistency learning plays a crucial role in semi-supervised medical image segmentation as it enables the effective utilization of limited annotated data while leveraging the abundance of unannotated data. ...	[]	Train
33,029	4	Title: Smart Contract and DeFi Security: Insights from Tool Evaluations and Practitioner Surveys Abstract: The growth of the decentralized finance (DeFi) ecosystem built on blockchain technology and smart contracts has led to an increased demand for secure and reliable smart contract development. However, attacks targe...	[ 28888, 45566, 41206 ]	Train
33,030	10	Title: Discovering Hierarchical Process Models: an Approach Based on Events Clustering Abstract: Process mining is a field of computer science that deals with discovery and analysis of process models based on automatically generated event logs. Currently, many companies use this technology for optimization and improvin...	[]	Test
33,031	31	Title: Train Once, Use Flexibly: A Modular Framework for Multi-Aspect Neural News Recommendation Abstract: Recent neural news recommenders (NNR) extend content-based recommendation by (1) aligning additional aspects such as topic or sentiment between the candidate news and user history or (2) diversifying recommendatio...	[ 40337 ]	Train
33,032	34	Title: Single-Source Unsplittable Flows in Planar Graphs Abstract: The single-source unsplittable flow (SSUF) problem asks to send flow from a common source to different terminals with unrelated demands, each terminal being served through a single path. One of the most heavily studied SSUF objectives is to minimize the...	[]	Test
33,033	2	Title: Introducing Asynchronicity to Probabilistic Hyperproperties Abstract: Probabilistic hyperproperties express probabilistic relations between different executions of systems with uncertain behavior. HyperPCTL allows to formalize such properties, where quantification over probabilistic schedulers resolves potential...	[ 26832 ]	Train
33,034	24	Title: PPG Signals for Hypertension Diagnosis: A Novel Method using Deep Learning Models Abstract: Hypertension is a medical condition characterized by high blood pressure, and classifying it into its various stages is crucial to managing the disease. In this project, a novel method is proposed for classifying stages o...	[]	Validation
33,035	16	Title: NSANet: Noise Seeking Attention Network Abstract: LiDAR (Light Detection and Ranging) technology has remained popular in capturing natural and built environments for numerous applications. The recent technological advancements in electro-optical engineering have aided in obtaining laser returns at a higher pulse...	[]	Train
33,036	16	Title: Efficient Large-scale Scene Representation with a Hybrid of High-resolution Grid and Plane Features Abstract: Existing neural radiance fields (NeRF) methods for large-scale scene modeling require days of training using multiple GPUs, hindering their applications in scenarios with limited computing resources. Des...	[ 21771, 9565 ]	Validation
33,037	16	Title: DexDeform: Dexterous Deformable Object Manipulation with Human Demonstrations and Differentiable Physics Abstract: In this work, we aim to learn dexterous manipulation of deformable objects using multi-fingered hands. Reinforcement learning approaches for dexterous rigid object manipulation would struggle in thi...	[]	Validation
33,038	6	Title: Video Surveillance System Incorporating Expert Decision-making Process: A Case Study on Detecting Calving Signs in Cattle Abstract: Through a user study in the field of livestock farming, we verify the effectiveness of an XAI framework for video surveillance systems. The systems can be made interpretable by inco...	[]	Train
33,039	16	Title: Data Efficient Training with Imbalanced Label Sample Distribution for Fashion Detection Abstract: Multi-label classification models have a wide range of applications in E-commerce, including visual-based label predictions and language-based sentiment classifications. A major challenge in achieving satisfactory p...	[ 2881, 45481, 14349, 43801 ]	Train
33,040	16	Title: Towards multi-modal anatomical landmark detection for ultrasound-guided brain tumor resection with contrastive learning Abstract: Homologous anatomical landmarks between medical scans are instrumental in quantitative assessment of image registration quality in various clinical applications, such as MRI-ultrasoun...	[]	Train
33,041	6	Title: OpinionConv: Conversational Product Search with Grounded Opinions Abstract: When searching for products, the opinions of others play an important role in making informed decisions. Subjective experiences about a product can be a valuable source of information. This is also true in sales conversations, where a cu...	[]	Train
33,042	30	Title: FAIR: A Causal Framework for Accurately Inferring Judgments Reversals Abstract: Artificial intelligence researchers have made significant advances in legal intelligence in recent years. However, the existing studies have not focused on the important value embedded in judgments reversals, which limits the improve...	[]	Train
33,043	16	Title: Imbalanced Aircraft Data Anomaly Detection Abstract: Anomaly detection in temporal data from sensors under aviation scenarios is a practical but challenging task: 1) long temporal data is difficult to extract contextual information with temporal correlation; 2) the anomalous data are rare in time series, causing...	[]	Train
33,044	30	Title: Mapping Researcher Activity based on Publication Data by means of Transformers Abstract: Modern performance on several natural language processing (NLP) tasks has been enhanced thanks to the Transformer-based pre-trained language model BERT. We employ this concept to investigate a local publication database. Res...	[]	Validation
33,045	16	Title: A Deep Learning-based Global and Segmentation-based Semantic Feature Fusion Approach for Indoor Scene Classification Abstract: Indoor scene classification has become an important task in perception modules and has been widely used in various applications. However, problems such as intra-category variability and ...	[ 13547 ]	Train
33,046	16	Title: Self-Supervised Learning of Action Affordances as Interaction Modes Abstract: When humans perform a task with an articulated object, they interact with the object only in a handful of ways, while the space of all possible interactions is nearly endless. This is because humans have prior knowledge about what inte...	[]	Validation
33,047	3	Title: Designing Bugs or Doing Another Project: Effects on Secondary Students' Self-Beliefs in Computer Science Abstract: Debugging, finding and fixing bugs in code, is a heterogeneous process that shapes novice learners' self-beliefs and motivation in computing. Our Debugging by Design intervention (DbD) provocatively...	[]	Train
33,048	30	Title: LLM4Jobs: Unsupervised occupation extraction and standardization leveraging Large Language Models Abstract: Automated occupation extraction and standardization from free-text job postings and resumes are crucial for applications like job recommendation and labor market policy formation. This paper introduces LLM...	[ 9403, 13700 ]	Train
33,049	16	Title: What does CLIP know about a red circle? Visual prompt engineering for VLMs Abstract: Large-scale Vision-Language Models, such as CLIP, learn powerful image-text representations that have found numerous applications, from zero-shot classification to text-to-image generation. Despite that, their capabilities for s...	[ 10624, 18470, 16846, 20174, 29999, 8084, 4788, 9014 ]	Train
33,050	6	Title: Adaptive Learning based Upper-Limb Rehabilitation Training System with Collaborative Robot Abstract: Rehabilitation training for patients with motor disabilities usually requires specialized devices in rehabilitation centers. Home-based multi-purpose training would significantly increase treatment accessibility ...	[]	Train
33,051	26	Title: Engagement, User Satisfaction, and the Amplification of Divisive Content on Social Media Abstract: In a pre-registered randomized experiment, we found that, relative to a reverse-chronological baseline, Twitter's engagement-based ranking algorithm may amplify emotionally charged, out-group hostile content and co...	[ 30556, 23477, 20822 ]	Validation
33,052	24	Title: On User-Level Private Convex Optimization Abstract: We introduce a new mechanism for stochastic convex optimization (SCO) with user-level differential privacy guarantees. The convergence rates of this mechanism are similar to those in the prior work of Levy et al. (2021); Narayanan et al. (2022), but with two im...	[ 2542 ]	Validation
33,053	24	Title: Test like you Train in Implicit Deep Learning Abstract: Implicit deep learning has recently gained popularity with applications ranging from meta-learning to Deep Equilibrium Networks (DEQs). In its general formulation, it relies on expressing some components of deep learning pipelines implicitly, typically via ...	[]	Train
33,054	24	Title: Benchmarking FedAvg and FedCurv for Image Classification Tasks Abstract: Classic Machine Learning techniques require training on data available in a single data lake. However, aggregating data from different owners is not always convenient for different reasons, including security, privacy and secrecy. Data carr...	[]	Train
33,055	7	Title: Level set-fitted polytopal meshes with application to structural topology optimization Abstract: We propose a method to modify a polygonal mesh in order to fit the zero-isoline of a level set function by extending a standard body-fitted strategy to a tessellation with arbitrarily-shaped elements. The novel level...	[]	Test
33,056	27	Title: Simultaneously Calibration of Multi Hand-Eye Robot System Based on Graph Abstract: Precise calibration is the basis for the vision-guided robot system to achieve high-precision operations. Systems with multiple eyes (cameras) and multiple hands (robots) are particularly sensitive to calibration errors, such as m...	[]	Validation
33,057	10	Title: Harnessing LLMs in Curricular Design: Using GPT-4 to Support Authoring of Learning Objectives Abstract: We evaluated the capability of a generative pre-trained transformer (GPT-4) to automatically generate high-quality learning objectives (LOs) in the context of a practically oriented university course on Artifi...	[ 40954, 35107, 100, 8200, 18411, 37424, 3314, 31898 ]	Validation
33,058	4	Title: Similarity Calculation Based on Homomorphic Encryption Abstract: In recent years, although some homomorphic encryption algorithms have been proposed to provide additive homomorphic encryption and multiplicative homomorphic encryption. However, similarity measures are required for searches and queries under homom...	[]	Train
33,059	4	Title: Report of the Medical Image De-Identification (MIDI) Task Group - Best Practices and Recommendations Abstract: This report addresses the technical aspects of de-identification of medical images of human subjects and biospecimens, such that re-identification risk of ethical, moral, and legal concern is sufficient...	[]	Train
33,060	39	Title: Maximum edge colouring problem on graphs that exclude a fixed minor Abstract: The maximum edge colouring problem considers the maximum colour assignment to edges of a graph under the condition that every vertex has at most a fixed number of distinct coloured edges incident on it. If that fixed number is $q$ we c...	[]	Train
33,061	24	Title: ChemVise: Maximizing Out-of-Distribution Chemical Detection with the Novel Application of Zero-Shot Learning Abstract: Accurate chemical sensors are vital in medical, military, and home safety applications. Training machine learning models to be accurate on real world chemical sensor data requires performing man...	[]	Test
33,062	16	Title: INSTA-BEEER: Explicit Error Estimation and Refinement for Fast and Accurate Unseen Object Instance Segmentation Abstract: Efficient and accurate segmentation of unseen objects is crucial for robotic manipulation. However, it remains challenging due to over- or under-segmentation. Although existing refinement met...	[ 20346 ]	Validation
33,063	4	Title: Reversible Quantization Index Modulation for Static Deep Neural Network Watermarking Abstract: Static deep neural network (DNN) watermarking techniques typically employ irreversible methods to embed watermarks into the DNN model weights. However, this approach causes permanent damage to the watermarked model and...	[]	Train
33,064	29	Title: Durability and Availability of Erasure-Coded Storage Systems with Concurrent Maintenance Abstract: This initial version of this document was written back in 2014 for the sole purpose of providing fundamentals of reliability theory as well as to identify the theoretical types of machinery for the prediction of du...	[]	Train
33,065	30	Title: Language of Bargaining Abstract: Leveraging an established exercise in negotiation education, we build a novel dataset for studying how the use of language shapes bilateral bargaining. Our dataset extends existing work in two ways: 1) we recruit participants via behavioral labs instead of crowdsourcing platforms...	[ 28962 ]	Train
33,066	27	Title: Kinematically-Decoupled Impedance Control for Fast Object Visual Servoing and Grasping on Quadruped Manipulators Abstract: We propose a control pipeline for SAG (Searching, Approaching, and Grasping) of objects, based on a decoupled arm kinematic chain and impedance control, which integrates image-based visual s...	[]	Train
33,067	6	Title: Charting the Sociotechnical Gap in Explainable AI: A Framework to Address the Gap in XAI Abstract: Explainable AI (XAI) systems are sociotechnical in nature; thus, they are subject to the sociotechnical gap-divide between the technical affordances and the social needs. However, charting this gap is challenging. ...	[ 44812, 33967 ]	Train
33,068	16	Title: MixBCT: Towards Self-Adapting Backward-Compatible Training Abstract: The exponential growth of data, alongside advancements in model structures and loss functions, has necessitated the enhancement of image retrieval systems through the utilization of new models with superior feature embeddings. However, the expe...	[ 8273 ]	Validation
33,069	30	Title: The System Description of dun_oscar team for The ICPR MSR Challenge Abstract: This paper introduces the system submitted by dun_oscar team for the ICPR MSR Challenge. Three subsystems for task1-task3 are descripted respectively. In task1, we develop a visual system which includes a OCR model, a text tracker, and...	[]	Test
33,070	16	Title: Fine-Tuning YOLOv5 with Genetic Algorithm For Helmet Violation Detection Abstract: The present study addresses the issue of non-compliance with helmet laws and the potential danger to both motorcycle riders and passengers. Despite the well-established advantages of helmet usage, compliance remains a formidable c...	[ 42585, 20834, 3372 ]	Test
33,071	16	Title: RegFormer: An Efficient Projection-Aware Transformer Network for Large-Scale Point Cloud Registration Abstract: Although point cloud registration has achieved remarkable advances in object-level and indoor scenes, large-scale registration methods are rarely explored. Challenges mainly arise from the huge point n...	[]	Test
33,072	24	Title: Non-stationary Delayed Combinatorial Semi-Bandit with Causally Related Rewards Abstract: Sequential decision-making under uncertainty is often associated with long feedback delays. Such delays degrade the performance of the learning agent in identifying a subset of arms with the optimal collective reward in the ...	[]	Train
33,073	16	Title: Semi-supervised Visual Tracking of Marine Animals Using Autonomous Underwater Vehicles Abstract: nan	[ 32394, 43971, 35410, 1702 ]	Test
33,074	34	Title: A logarithmic approximation algorithm for the activation edge multicover problem Abstract: In the Activation Edge-Multicover problem we are given a multigraph $G=(V,E)$ with activation costs $\{c_{e}^u,c_{e}^v\}$ for every edge $e=uv \in E$, and degree requirements $r=\{r_v:v \in V\}$. The goal is to find an edg...	[]	Test
33,075	7	Title: JAX FDM: A differentiable solver for inverse form-finding Abstract: We introduce JAX FDM, a differentiable solver to design mechanically efficient shapes for 3D structures conditioned on target architectural, fabrication and structural properties. Examples of such structures are domes, cable nets and towers. JAX...	[]	Test
33,076	10	Title: Intrinsic Motivation in Dynamical Control Systems Abstract: Biological systems often choose actions without an explicit reward signal, a phenomenon known as intrinsic motivation. The computational principles underlying this behavior remain poorly understood. In this study, we investigate an information-theoretic...	[]	Train
33,077	31	Title: A Meta-Evaluation of C/W/L/A Metrics: System Ranking Similarity, System Ranking Consistency and Discriminative Power Abstract: Recently, Moffat et al. proposed an analytic framework, namely C/W/L/A, for offline evaluation metrics. This framework allows information retrieval (IR) researchers to design evaluation ...	[]	Validation

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