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
29,778	27	Title: Cooperative Simultaneous Tracking and Jamming for Disabling a Rogue Drone Abstract: This work investigates the problem of simultaneous tracking and jamming of a rogue drone in 3D space with a team of cooperative unmanned aerial vehicles (UAVs). We propose a decentralized estimation, decision and control framewor...	[ 6352, 5581, 45375 ]	Validation
29,779	11	Title: SHAPE: A Framework for Evaluating the Ethicality of Influence Abstract: Agents often exert influence when interacting with humans and non-human agents. However, the ethical status of such influence is often unclear. In this paper, we present the SHAPE framework, which lists reasons why influence may be unethical...	[ 13082, 41514, 39778, 37623 ]	Validation
29,780	16	Title: MaxGNR: A Dynamic Weight Strategy via Maximizing Gradient-to-Noise Ratio for Multi-Task Learning Abstract: When modeling related tasks in computer vision, Multi-Task Learning (MTL) can outperform Single-Task Learning (STL) due to its ability to capture intrinsic relatedness among tasks. However, MTL may encounte...	[]	Validation
29,781	4	Title: Fixing Hardware Security Bugs with Large Language Models Abstract: Novel AI-based code-writing Large Language Models (LLMs) such as OpenAI's Codex have demonstrated capabilities in many coding-adjacent domains. In this work we consider how LLMs maybe leveraged to automatically repair security relevant bugs prese...	[ 29122, 4328, 3061, 11190, 44381, 703 ]	Test
29,782	5	Title: ScaDLES: Scalable Deep Learning over Streaming data at the Edge Abstract: Distributed deep learning (DDL) training systems are designed for cloud and data-center environments that assumes homogeneous compute resources, high network bandwidth, sufficient memory and storage, a s w ell a s independent and identical...	[ 30038, 39598 ]	Validation
29,783	2	Title: Now It Compiles! Certified Automatic Repair of Uncompilable Protocols Abstract: Choreographic programming is a paradigm where developers write the global specification (called choreography) of a communicating system, and then a correct-by-construction distributed implementation is compiled automatically. Unfortu...	[ 6692 ]	Train
29,784	3	Title: Diversity dilemmas: uncovering gender and nationality biases in graduate admissions across top North American computer science programs Abstract: Although different organizations have defined policies towards diversity in academia, many argue that minorities are still disadvantaged in university admissions due t...	[]	Validation
29,785	16	Title: Revisiting Distillation for Continual Learning on Visual Question Localized-Answering in Robotic Surgery Abstract: The visual-question localized-answering (VQLA) system can serve as a knowledgeable assistant in surgical education. Except for providing text-based answers, the VQLA system can highlight the interes...	[ 40061 ]	Test
29,786	27	Title: RGB-D Inertial Odometry for a Resource-Restricted Robot in Dynamic Environments Abstract: Current simultaneous localization and mapping (SLAM) algorithms perform well in static environments but easily fail in dynamic environments. Recent works introduce deep learning-based semantic information to SLAM systems to...	[ 2712, 41624, 32840, 8149 ]	Validation
29,787	24	Title: Unsupervised Representation Learning for Time Series: A Review Abstract: Unsupervised representation learning approaches aim to learn discriminative feature representations from unlabeled data, without the requirement of annotating every sample. Enabling unsupervised representation learning is extremely crucial ...	[ 41827, 2629, 5168, 27857, 26293, 3288, 20349 ]	Train
29,788	23	Title: Technical Challenges of Deploying Reinforcement Learning Agents for Game Testing in AAA Games Abstract: Going from research to production, especially for large and complex software systems, is fundamentally a hard problem. In large-scale game production, one of the main reasons is that the development environmen...	[]	Train
29,789	28	Title: Modular Model-Based Bayesian Learning for Uncertainty-Aware and Reliable Deep MIMO Receivers Abstract: In the design of wireless receivers, DNNs can be combined with traditional model-based receiver algorithms to realize modular hybrid model-based/data-driven architectures that can account for domain knowledge. ...	[ 7754 ]	Validation
29,790	24	Title: Sparsified Model Zoo Twins: Investigating Populations of Sparsified Neural Network Models Abstract: With growing size of Neural Networks (NNs), model sparsification to reduce the computational cost and memory demand for model inference has become of vital interest for both research and production. While many spa...	[ 12851 ]	Test
29,791	16	Title: Toward real-time image annotation using marginalized coupled dictionary learning Abstract: nan	[ 22199 ]	Train
29,792	24	Title: Learning Transformer Programs Abstract: Recent research in mechanistic interpretability has attempted to reverse-engineer Transformer models by carefully inspecting network weights and activations. However, these approaches require considerable manual effort and still fall short of providing complete, faithful d...	[ 40099, 27880, 29583, 11633, 38834 ]	Train
29,793	10	Title: Embedding-based Retrieval with LLM for Effective Agriculture Information Extracting from Unstructured Data Abstract: Pest identification is a crucial aspect of pest control in agriculture. However, most farmers are not capable of accurately identifying pests in the field, and there is a limited number of structu...	[ 13525, 24308, 13700, 5461 ]	Train
29,794	24	Title: The Inductive Bias of Flatness Regularization for Deep Matrix Factorization Abstract: Recent works on over-parameterized neural networks have shown that the stochasticity in optimizers has the implicit regularization effect of minimizing the sharpness of the loss function (in particular, the trace of its Hessian...	[ 19853, 33831 ]	Validation
29,795	27	Title: Shield Model Predictive Path Integral: A Computationally Efficient Robust MPC Approach Using Control Barrier Functions Abstract: Model Predictive Path Integral (MPPI) control is a type of sampling-based model predictive control that simulates thousands of trajectories and uses these trajectories to synthesize op...	[]	Validation
29,796	16	Title: Unsupervised Coordinate-Based Video Denoising Abstract: In this paper, we introduce a novel unsupervised video denoising deep learning approach that can help to mitigate data scarcity issues and shows robustness against different noise patterns, enhancing its broad applicability. Our method comprises three modul...	[]	Train
29,797	26	Title: Tweets Under the Rubble: Detection of Messages Calling for Help in Earthquake Disaster Abstract: The importance of social media is again exposed in the recent tragedy of the 2023 Turkey and Syria earthquake. Many victims who were trapped under the rubble called for help by posting messages in Twitter. We present...	[]	Validation
29,798	24	Title: Transfer-Once-For-All: AI Model Optimization for Edge Abstract: Weight-sharing neural architecture search aims to optimize a configurable neural network model (supernet) for a variety of deployment scenarios across many devices with different resource constraints. Existing approaches use evolutionary search to e...	[]	Validation
29,799	24	Title: Average of Pruning: Improving Performance and Stability of Out-of-Distribution Detection Abstract: Detecting Out-of-distribution (OOD) inputs have been a critical issue for neural networks in the open world. However, the unstable behavior of OOD detection along the optimization trajectory during training has not...	[ 31248, 9941 ]	Train
29,800	24	Title: Improving Visual Prompt Tuning for Self-supervised Vision Transformers Abstract: Visual Prompt Tuning (VPT) is an effective tuning method for adapting pretrained Vision Transformers (ViTs) to downstream tasks. It leverages extra learnable tokens, known as prompts, which steer the frozen pretrained ViTs. Although...	[]	Train
29,801	16	Title: TextSLAM: Visual SLAM with Semantic Planar Text Features Abstract: We propose a novel visual SLAM method that integrates text objects tightly by treating them as semantic features via fully exploring their geometric and semantic prior. The text object is modeled as a texture-rich planar patch whose semantic mean...	[]	Train
29,802	16	Title: USER: Unified Semantic Enhancement with Momentum Contrast for Image-Text Retrieval Abstract: As a fundamental and challenging task in bridging language and vision domains, Image-Text Retrieval (ITR) aims at searching for the target instances that are semantically relevant to the given query from the other modali...	[]	Train
29,803	4	Title: A new approach based on quadratic forms to attack the McEliece cryptosystem Abstract: We bring in here a novel algebraic approach for attacking the McEliece cryptosystem. It consists in introducing a subspace of matrices representing quadratic forms. Those are associated with quadratic relationships for the comp...	[ 39344 ]	Train
29,804	24	Title: Interpretable and Scalable Graphical Models for Complex Spatio-temporal Processes Abstract: This thesis focuses on data that has complex spatio-temporal structure and on probabilistic graphical models that learn the structure in an interpretable and scalable manner. We target two research areas of interest: Gaus...	[]	Train
29,805	28	Title: Several families of ternary negacyclic codes and their duals Abstract: Constacyclic codes contain cyclic codes as a subclass and have nice algebraic structures. Constacyclic codes are important in theory, as they are closely related to a number of areas of mathematics and outperform cyclic codes in several aspec...	[ 27961, 24526 ]	Train
29,806	16	Title: IDGI: A Framework to Eliminate Explanation Noise from Integrated Gradients Abstract: Integrated Gradients (IG) as well as its variants are well-known techniques for interpreting the decisions of deep neural networks. While IG-based approaches attain state-of-the-art performance, they often integrate noise into t...	[ 4157 ]	Train
29,807	16	Title: Leveraging Foundation models for Unsupervised Audio-Visual Segmentation Abstract: Audio-Visual Segmentation (AVS) aims to precisely outline audible objects in a visual scene at the pixel level. Existing AVS methods require fine-grained annotations of audio-mask pairs in supervised learning fashion. This limits t...	[ 10733, 30385, 38612, 14550, 4887, 23545, 35263 ]	Test
29,808	16	Title: Scene-aware Human Pose Generation using Transformer Abstract: Affordance learning considers the interaction opportunities for an actor in the scene and thus has wide application in scene understanding and intelligent robotics. In this paper, we focus on contextual affordance learning, i.e., using affordance as c...	[]	Test
29,809	24	Title: Benchmarking Bayesian Causal Discovery Methods for Downstream Treatment Effect Estimation Abstract: The practical utility of causality in decision-making is widespread and brought about by the intertwining of causal discovery and causal inference. Nevertheless, a notable gap exists in the evaluation of causal di...	[ 21081, 34570, 13583 ]	Train
29,810	28	Title: Delay-Doppler Alignment Modulation for Spatially Sparse Massive MIMO Communication Abstract: Delay alignment modulation (DAM) is an emerging technique for achieving inter-symbol interference (ISI)-free wideband communications using spatial-delay processing, without relying on channel equalization or multi-carrie...	[]	Train
29,811	10	Title: Expert load matters: operating networks at high accuracy and low manual effort Abstract: In human-AI collaboration systems for critical applications, in order to ensure minimal error, users should set an operating point based on model confidence to determine when the decision should be delegated to human experts...	[]	Train
29,812	24	Title: A Computational Theory and Semi-Supervised Algorithm for Clustering Abstract: A computational theory for clustering and a semi-supervised clustering algorithm is presented. Clustering is defined to be the obtainment of groupings of data such that each group contains no anomalies with respect to a chosen grouping...	[]	Validation
29,813	24	Title: Trajectory Alignment: Understanding the Edge of Stability Phenomenon via Bifurcation Theory Abstract: Cohen et al. (2021) empirically study the evolution of the largest eigenvalue of the loss Hessian, also known as sharpness, along the gradient descent (GD) trajectory and observe a phenomenon called the Edge of ...	[ 3616, 45830 ]	Train
29,814	27	Title: End-to-end Reinforcement Learning for Online Coverage Path Planning in Unknown Environments Abstract: Coverage path planning is the problem of finding the shortest path that covers the entire free space of a given confined area, with applications ranging from robotic lawn mowing and vacuum cleaning, to demining ...	[ 41655 ]	Validation
29,815	8	Title: Flock: Accurate Network Fault Localization at Scale Abstract: Inferring the root cause of failures among thousands of components in a data center network is challenging, especially for "gray" failures that are not reported directly by switches. Faults can be localized through end-to-end measurements, but past lo...	[]	Train
29,816	8	Title: Effectiveness and predictability of in-network storage cache for Scientific Workflows Abstract: Large scientific collaborations often have multiple scientists accessing the same set of files while doing different analyses, which create repeated accesses to the large amounts of shared data located far away. These...	[ 33783 ]	Train
29,817	37	Title: An Efficient Approach for Discovering Graph Entity Dependencies (GEDs) Abstract: Graph entity dependencies (GEDs) are novel graph constraints, unifying keys and functional dependencies, for property graphs. They have been found useful in many real-world data quality and data management tasks, including fact chec...	[ 29141 ]	Train
29,818	4	Title: Privacy-Preserving CNN Training with Transfer Learning Abstract: In this paper, we present a practical solution to implement privacy-preserving CNN training based on mere Homomorphic Encryption (HE) technique. To our best knowledge, this is the first attempt successfully to crack this nut and no work ever before...	[ 42810 ]	Validation
29,819	4	Title: Fortifying Public Safety: A Dynamic Role-Based Access Control Paradigm for Cloud-Centric IoT Abstract: The evolution of communication technologies, exemplified by the Internet of Things (IoT) and cloud computing, has significantly enhanced the speed and accessibility of Public Safety (PS) services, critical to e...	[]	Train
29,820	20	Title: Graph Mover's Distance: An Efficiently Computable Distance Measure for Geometric Graphs Abstract: Many applications in pattern recognition represent patterns as a geometric graph. The geometric graph distance (GGD) has recently been studied as a meaningful measure of similarity between two geometric graphs. Sinc...	[]	Validation
29,821	24	Title: Cooperative Multi-Agent Learning for Navigation via Structured State Abstraction Abstract: Cooperative multi-agent reinforcement learning (MARL) for navigation enables agents to cooperate to achieve their navigation goals. Using emergent communication, agents learn a communication protocol to coordinate and shar...	[]	Train
29,822	27	Title: Concurrent Constrained Optimization of Unknown Rewards for Multi-Robot Task Allocation Abstract: Task allocation can enable effective coordination of multi-robot teams to accomplish tasks that are intractable for individual robots. However, existing approaches to task allocation often assume that task requiremen...	[]	Validation
29,823	26	Title: A Fast Algorithm for Moderating Critical Nodes via Edge Removal Abstract: Critical nodes in networks are extremely vulnerable to malicious attacks to trigger negative cascading events such as the spread of misinformation and diseases. Therefore, effective moderation of critical nodes is very vital for mitigating...	[ 34568, 20758 ]	Test
29,824	7	Title: Effect of the cross-section architecture on the impact resistance of bio-inspired low-porosity structures using neural networks Abstract: Biological structural designs in nature, like hoof walls, horns, and antlers, can be used as inspiration for generating structures with excellent mechanical properties. A comm...	[ 2780, 43783 ]	Train
29,825	30	Title: Are Large Language Models Ready for Healthcare? A Comparative Study on Clinical Language Understanding Abstract: Large language models (LLMs) have made significant progress in various domains, including healthcare. However, the specialized nature of clinical language understanding tasks presents unique challenge...	[ 15301, 26792, 15049, 34826, 5495, 35545 ]	Validation
29,826	16	Title: RB-Dust - A Reference-based Dataset for Vision-based Dust Removal Abstract: Dust in the agricultural landscape is a significant challenge and influences, for example, the environmental perception of autonomous agricultural machines. Image enhancement algorithms can be used to reduce dust. However, these require ...	[]	Train
29,827	31	Title: Privacy-Preserving Matrix Factorization for Recommendation Systems using Gaussian Mechanism Abstract: Building a recommendation system involves analyzing user data, which can potentially leak sensitive information about users. Anonymizing user data is often not sufficient for preserving user privacy. Motivated b...	[]	Test
29,828	27	Title: Data-Link: High Fidelity Manufacturing Datasets for Model2Real Transfer under Industrial Settings Abstract: High-fidelity datasets play a pivotal role in imbuing simulators with realism, enabling the benchmarking of various state-of-the-art deep inference models. These models are particularly instrumental in tas...	[]	Train
29,829	30	Title: Task-oriented Document-Grounded Dialog Systems by HLTPR@RWTH for DSTC9 and DSTC10 Abstract: This paper summarizes our contributions to the document-grounded dialog tasks at the 9th and 10th Dialog System Technology Challenges (DSTC9 and DSTC10). In both iterations the task consists of three subtasks: first detec...	[]	Validation
29,830	3	Title: Attentive Q-Matrix Learning for Knowledge Tracing Abstract: As the rapid development of Intelligent Tutoring Systems (ITS) in the past decade, tracing the students' knowledge state has become more and more important in order to provide individualized learning guidance. This is the main idea of Knowledge Tracing ...	[]	Validation
29,831	30	Title: Large Language Models as Batteries-Included Zero-Shot ESCO Skills Matchers Abstract: Understanding labour market dynamics requires accurately identifying the skills required for and possessed by the workforce. Automation techniques are increasingly being developed to support this effort. However, automatically e...	[ 9437, 40192, 13700, 6797 ]	Train
29,832	30	Title: A Transformer-based Response Evaluator for Open-Domain Spoken Conversation Abstract: Many open-domain dialogue systems rely on multiple response generators, any of which can contribute a response to the dialogue in a particular context. Thus the ability to compare potential responses and then select the best pla...	[ 19778, 31836 ]	Validation
29,833	37	Title: Torrent Driven (TD) Coin: A Crypto Coin with Built In Distributed Data Storage System Abstract: In recent years decentralized currencies developed through Blockchains are increasingly becoming popular because of their transparent nature and absence of a central controlling authority. Though a lot of computation ...	[]	Validation
29,834	27	Title: Evaluating Visual Odometry Methods for Autonomous Driving in Rain Abstract: The increasing demand for autonomous vehicles has created a need for robust navigation systems that can also operate effectively in adverse weather conditions. Visual odometry is a technique used in these navigation systems, enabling the...	[ 14755 ]	Train
29,835	29	Title: DIPPM: a Deep Learning Inference Performance Predictive Model using Graph Neural Networks Abstract: Deep Learning (DL) has developed to become a corner-stone in many everyday applications that we are now relying on. However, making sure that the DL model uses the underlying hardware efficiently takes a lot of ef...	[]	Train
29,836	16	Title: Real-time GeoAI for high-resolution mapping and segmentation of arctic permafrost features: the case of ice-wedge polygons Abstract: This paper introduces a real-time GeoAI workflow for large-scale image analysis and the segmentation of Arctic permafrost features at a fine-granularity. Very high-resolution (0.5m...	[ 18263 ]	Test
29,837	11	Title: Providing personalized Explanations: a Conversational Approach Abstract: The increasing applications of AI systems require personalized explanations for their behaviors to various stakeholders since the stakeholders may have various knowledge and backgrounds. In general, a conversation between explainers and exp...	[]	Test
29,838	3	Title: A multilevel framework for AI governance Abstract: To realize the potential benefits and mitigate potential risks of AI, it is necessary to develop a framework of governance that conforms to ethics and fundamental human values. Although several organizations have issued guidelines and ethical frameworks for trus...	[]	Validation
29,839	34	Title: k-Center Clustering with Outliers in the MPC and Streaming Model Abstract: Given a point set P ⊆ X of size n in a metric space (X, dist) of doubling dimension d and two parameters k ∈ ℕ and z ∈ ℕ, the k-center problem with z outliers asks to return a set ${{\mathcal{C}}^ * } = \{ c_1^ * , \cdots ,c_k^ * \} \subs...	[ 21261, 5854, 28942 ]	Train
29,840	5	Title: Cloud Computing: Applications, Challenges and Open Issues Abstract: Cloud computing is one of the innovative computing, which deals with storing and accessing data and programs over the Internet [1]. It is the delivery of computing resources and services, such as storing of data on servers and databases, providi...	[]	Validation
29,841	27	Title: Learning to Detect Slip through Tactile Measures of the Contact Force Field and its Entropy Abstract: Detection of slip during object grasping and manipulation plays a vital role in object handling. Existing solutions largely depend on visual information to devise a strategy for grasping. Nonetheless, in order t...	[ 7350 ]	Train
29,842	10	Title: A Linear Weight Transfer Rule for Local Search Abstract: The Divide and Distribute Fixed Weights algorithm (ddfw) is a dynamic local search SAT-solving algorithm that transfers weight from satisfied to falsified clauses in local minima. ddfw is remarkably effective on several hard combinatorial instances. Yet, d...	[]	Test
29,843	7	Title: Towards higher-order accurate mass lumping in explicit isogeometric analysis for structural dynamics Abstract: nan	[ 28800 ]	Train
29,844	30	Title: Weakly Supervised Multi-Label Classification of Full-Text Scientific Papers Abstract: Instead of relying on human-annotated training samples to build a classifier, weakly supervised scientific paper classification aims to classify papers only using category descriptions (e.g., category names, category-indicative...	[ 7090, 14764, 44279 ]	Test
29,845	10	Title: The challenge of redundancy on multi-agent value factorisation Abstract: In the field of cooperative multi-agent reinforcement learning (MARL), the standard paradigm is the use of centralised training and decentralised execution where a central critic conditions the policies of the cooperative agents based on a ...	[]	Train
29,846	5	Title: Gradient Sparsification for Efficient Wireless Federated Learning with Differential Privacy Abstract: Federated learning (FL) enables distributed clients to collaboratively train a machine learning model without sharing raw data with each other. However, it suffers the leakage of private information from uploadi...	[]	Train
29,847	28	Title: Toward Textual Transform Coding Abstract: Inspired by recent work on compression with and for young humans, the success of transform-based approaches to information processing, and the rise of powerful language-based AI, we propose \emph{textual transform coding}. It shares some of its key properties with tradit...	[ 1916 ]	Train
29,848	28	Title: Channel Training and Estimation for Reconfigurable Intelligent Surfaces: Exposition of Principles, Approaches, and Open Problems Abstract: Reconfigurable intelligent surfaces (RIS) are passive controllable arrays of small reflectors that direct electromagnetic energy towards or away from the target nodes, thereb...	[]	Validation
29,849	24	Title: Density Ratio Estimation-based Bayesian Optimization with Semi-Supervised Learning Abstract: Bayesian optimization has attracted huge attention from diverse research areas in science and engineering, since it is capable of finding a global optimum of an expensive-to-evaluate black-box function efficiently. In ge...	[]	Test
29,850	16	Title: FlowChroma - A Deep Recurrent Neural Network for Video Colorization Abstract: nan	[]	Train
29,851	27	Title: MBAPPE: MCTS-Built-Around Prediction for Planning Explicitly Abstract: We present MBAPPE, a novel approach to motion planning for autonomous driving combining tree search with a partially-learned model of the environment. Leveraging the inherent explainable exploration and optimization capabilities of the Monte-...	[ 37832, 22858, 11725, 44295 ]	Validation
29,852	24	Title: Evaluating Link Prediction Explanations for Graph Neural Networks Abstract: Graph Machine Learning (GML) has numerous applications, such as node/graph classification and link prediction, in real-world domains. Providing human-understandable explanations for GML models is a challenging yet fundamental task to fos...	[]	Validation
29,853	16	Title: GamutMLP: A Lightweight MLP for Color Loss Recovery Abstract: Cameras and image-editing software often process images in the wide-gamut ProPhoto color space, encompassing 90% of all visible colors. However, when images are encoded for sharing, this color-rich representation is transformed and clipped to fit with...	[]	Train
29,854	26	Title: TotalDefMeme: A Multi-Attribute Meme dataset on Total Defence in Singapore Abstract: Total Defence is a defence policy combining and extending the concept of military defence and civil defence. While several countries have adopted total defence as their defence policy, very few studies have investigated its effe...	[ 32282 ]	Validation
29,855	28	Title: Generalized Automorphisms of Channel Codes: Properties, Code Design, and a Decoder Abstract: Low-density parity-check codes together with belief propagation (BP) decoding are known to be well-performing for large block lengths. However, for short block lengths there is still a considerable gap between the perfor...	[]	Train
29,856	23	Title: Correct-by-Construction Design of Contextual Robotic Missions Using Contracts Abstract: Effectively specifying and implementing robotic missions pose a set of challenges to software engineering for robotic systems, since they require formalizing and executing a robot's high-level tasks while considering various ...	[]	Test
29,857	24	Title: Self-Supervised Learning for Time Series Analysis: Taxonomy, Progress, and Prospects Abstract: Self-supervised learning (SSL) has recently achieved impressive performance on various time series tasks. The most prominent advantage of SSL is that it reduces the dependence on labeled data. Based on the pre-training...	[ 21632, 31489, 32869, 34247, 11145, 15529, 38569, 42957, 20349 ]	Train
29,858	23	Title: Constrained Adversarial Learning and its applicability to Automated Software Testing: a systematic review Abstract: Every novel technology adds hidden vulnerabilities ready to be exploited by a growing number of cyber-attacks. Automated software testing can be a promising solution to quickly analyze thousands of...	[ 38282, 17702, 42079 ]	Train
29,859	24	Title: A Benchmark Generative Probabilistic Model for Weak Supervised Learning Abstract: Finding relevant and high-quality datasets to train machine learning models is a major bottleneck for practitioners. Furthermore, to address ambitious real-world use-cases there is usually the requirement that the data come labelle...	[]	Train
29,860	24	Title: Correlating Medi-Claim Service by Deep Learning Neural Networks Abstract: Medical insurance claims are of organized crimes related to patients, physicians, diagnostic centers, and insurance providers, forming a chain reaction that must be monitored constantly. These kinds of frauds affect the financial growth of...	[]	Train
29,861	30	Title: Large Linguistic Models: Analyzing theoretical linguistic abilities of LLMs Abstract: The performance of large language models (LLMs) has recently improved to the point where the models can perform well on many language tasks. We show here that for the first time, the models can also generate coherent and valid ...	[ 26305, 38338, 37411, 1898, 13495, 45655, 13305 ]	Test
29,862	27	Title: End-to-End Learning of Deep Visuomotor Policy for Needle Picking Abstract: Needle picking is a challenging manipulation task in robot-assisted surgery due to the characteristics of small slender shapes of needles, needles' variations in shapes and sizes, and demands for millimeter-level control. Prior works, hea...	[]	Train
29,863	24	Title: Mercer Large-Scale Kernel Machines from Ridge Function Perspective Abstract: To present Mercer large-scale kernel machines from a ridge function perspective, we recall the results by Lin and Pinkus from Fundamentality of ridge functions. We consider the main theorem of the recent paper by Rachimi and Recht, 2008...	[]	Train
29,864	4	Title: Who Let the Smart Toaster Hack the House? An Investigation into the Security Vulnerabilities of Consumer IoT Devices Abstract: For smart homes to be safe homes, they must be designed with security in mind. Yet, despite the widespread proliferation of connected digital technologies in the home environment, there ...	[ 13815 ]	Train
29,865	16	Title: Lightweight Real-time Semantic Segmentation Network with Efficient Transformer and CNN Abstract: In the past decade, convolutional neural networks (CNNs) have shown prominence for semantic segmentation. Although CNN models have very impressive performance, the ability to capture global representation is still in...	[]	Train
29,866	16	Title: Self-Sufficient Framework for Continuous Sign Language Recognition Abstract: The goal of this work is to develop self-sufficient framework for Continuous Sign Language Recognition (CSLR) that addresses key issues of sign language recognition. These include the need for complex multi-scale features such as hands,...	[]	Train
29,867	34	Title: Convex Minimization with Integer Minima in Õ(n4) Time Abstract: Given a convex function $f$ on $\mathbb{R}^n$ with an integer minimizer, we show how to find an exact minimizer of $f$ using $O(n^2 \log n)$ calls to a separation oracle and $O(n^4 \log n)$ time. The previous best polynomial time algorithm for this ...	[ 19648, 26657, 34404, 30634, 24299, 4909, 29006, 39573 ]	Test
29,868	9	Title: Streaming Lower Bounds and Asymmetric Set-Disjointness Abstract: Frequency estimation in data streams is one of the classical problems in streaming algorithms. Following much research, there are now almost matching upper and lower bounds for the trade-off needed between the number of samples and the space comple...	[]	Test
29,869	16	Title: AutoColor: Learned Light Power Control for Multi-Color Holograms Abstract: Multi-color holograms rely on simultaneous illumination from multiple light sources. These multi-color holograms could utilize light sources better than conventional single-color holograms and can improve the dynamic range of holographic ...	[]	Train
29,870	24	Title: RobustNeuralNetworks.jl: a Package for Machine Learning and Data-Driven Control with Certified Robustness Abstract: Neural networks are typically sensitive to small input perturbations, leading to unexpected or brittle behaviour. We present RobustNeuralNetworks.jl: a Julia package for neural network models that ...	[ 40007 ]	Train
29,871	23	Title: Ontology for Conceptual Modeling: Reality of What Thinging Machines Talk About, e.g., Information Abstract: In conceptual modeling (CM) as a subdiscipline of software engineering, current proposed ontologies (categorical analysis of entities) are typically established through whole adoption of philosophical theo...	[ 21233 ]	Test
29,872	24	Title: PDE Discovery for Soft Sensors Using Coupled Physics-Informed Neural Network with Akaike's Information Criterion Abstract: Soft sensors have been extensively used to monitor key variables using easy-to-measure variables and mathematical models. Partial differential equations (PDEs) are model candidates for soft ...	[]	Train
29,873	16	Title: ConvNeXt V2: Co-designing and Scaling ConvNets with Masked Autoencoders Abstract: Driven by improved architectures and better representation learning frameworks, the field of visual recognition has enjoyed rapid modernization and performance boost in the early 2020s. For example, modern ConvNets, represented by ...	[ 11392, 36611, 23815, 22665, 12299, 41614, 28047, 8336, 6930, 5910, 44182, 33566, 4004, 24741, 17064, 10538, 35242, 35370, 7472, 24881, 31294, 11848, 11081, 3414, 5610, 45308, 26619, 18940, 39806, 27903 ]	Test
29,874	24	Title: AdANNS: A Framework for Adaptive Semantic Search Abstract: Web-scale search systems learn an encoder to embed a given query which is then hooked into an approximate nearest neighbor search (ANNS) pipeline to retrieve similar data points. To accurately capture tail queries and data points, learned representations...	[]	Train
29,875	24	Title: BatchGNN: Efficient CPU-Based Distributed GNN Training on Very Large Graphs Abstract: We present BatchGNN, a distributed CPU system that showcases techniques that can be used to efficiently train GNNs on terabyte-sized graphs. It reduces communication overhead with macrobatching in which multiple minibatches' su...	[]	Train
29,876	24	Title: Open Data on GitHub: Unlocking the Potential of AI Abstract: GitHub is the world's largest platform for collaborative software development, with over 100 million users. GitHub is also used extensively for open data collaboration, hosting more than 800 million open data files, totaling 142 terabytes of data. This...	[]	Train
29,877	27	Title: Inertial Navigation Meets Deep Learning: A Survey of Current Trends and Future Directions Abstract: Inertial sensing is used in many applications and platforms, ranging from day-to-day devices such as smartphones to very complex ones such as autonomous vehicles. In recent years, the development of machine learni...	[ 20368, 4730, 8964, 28984 ]	Train

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