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
25,278	8	Title: Self-Evolving Integrated VHetNets for 6G: A Multi-Tier HFL Approach Abstract: Self-evolving networks (SENs) are emerging technologies that dynamically and autonomously adapt and optimize their performance and behaviour based on changing conditions and evolving requirements. With the advent of fifth-generation (5...	[ 30843 ]	Train
25,279	27	Title: Hindsight States: Blending Sim and Real Task Elements for Efficient Reinforcement Learning Abstract: Reinforcement learning has shown great potential in solving complex tasks when large amounts of data can be generated with little effort. In robotics, one approach to generate training data builds on simulations ...	[ 40218 ]	Validation
25,280	30	Title: Comparative Performance Evaluation of Large Language Models for Extracting Molecular Interactions and Pathway Knowledge Abstract: Understanding protein interactions and pathway knowledge is crucial for unraveling the complexities of living systems and investigating the underlying mechanisms of biological functio...	[ 13700 ]	Validation
25,281	10	Title: Algorithm-assisted discovery of an intrinsic order among mathematical constants Abstract: In recent decades, a growing number of discoveries in fields of mathematics have been assisted by computer algorithms, primarily for exploring large parameter spaces that humans would take too long to investigate. As comput...	[]	Train
25,282	8	Title: Multi-microservice migration modelling, comparison, and potential in 5G/6G mobile edge computing: A non-average parameter values approach Abstract: Cloud, fog, and edge computing integration with future mobile Internet-of-Things (IoT) devices and related applications in 5G/6G networks will become more practical ...	[]	Test
25,283	30	Title: Can Model Fusing Help Transformers in Long Document Classification? An Empirical Study Abstract: Text classification is an area of research which has been studied over the years in Natural Language Processing (NLP). Adapting NLP to multiple domains has introduced many new challenges for text classification and o...	[]	Train
25,284	16	Title: Stacked Cross-modal Feature Consolidation Attention Networks for Image Captioning Abstract: Recently, the attention-enriched encoder-decoder framework has aroused great interest in image captioning due to its overwhelming progress. Many visual attention models directly leverage meaningful regions to generate ima...	[]	Train
25,285	16	Title: RusTitW: Russian Language Text Dataset for Visual Text in-the-Wild Recognition Abstract: Information surrounds people in modern life. Text is a very efficient type of information that people use for communication for centuries. However, automated text-in-the-wild recognition remains a challenging problem. The ma...	[]	Test
25,286	30	Title: Measuring Intersectional Biases in Historical Documents Abstract: Data-driven analyses of biases in historical texts can help illuminate the origin and development of biases prevailing in modern society. However, digitised historical documents pose a challenge for NLP practitioners as these corpora suffer from e...	[ 2711 ]	Train
25,287	16	Title: CodeTalker: Speech-Driven 3D Facial Animation with Discrete Motion Prior Abstract: Speech-driven 3D facial animation has been widely studied, yet there is still a gap to achieving realism and vividness due to the highly ill-posed nature and scarcity of audio-visual data. Existing works typically formulate the cr...	[ 15200, 25059, 43781, 31366, 4904, 8721, 9042, 34578, 36859, 25181 ]	Test
25,288	30	Title: Open-Domain Hierarchical Event Schema Induction by Incremental Prompting and Verification Abstract: Event schemas are a form of world knowledge about the typical progression of events. Recent methods for event schema induction use information extraction systems to construct a large number of event graph instance...	[ 5755, 39107, 9470 ]	Test
25,289	16	Title: VisText: A Benchmark for Semantically Rich Chart Captioning Abstract: Captions that describe or explain charts help improve recall and comprehension of the depicted data and provide a more accessible medium for people with visual disabilities. However, current approaches for automatically generating such caption...	[]	Train
25,290	27	Title: Adapting to Human Preferences to Lead or Follow in Human-Robot Collaboration: A System Evaluation Abstract: With the introduction of collaborative robots, humans and robots can now work together in close proximity and share the same workspace. However, this collaboration presents various challenges that need to ...	[]	Train
25,291	30	Title: Fluid Transformers and Creative Analogies: Exploring Large Language Models’ Capacity for Augmenting Cross-Domain Analogical Creativity Abstract: Cross-domain analogical reasoning is a core creative ability that can be challenging for humans. Recent work has shown some proofs-of-concept of Large language Models’ ...	[ 19720, 19155, 38102, 16415 ]	Validation
25,292	27	Title: LCE-Calib: Automatic LiDAR-Frame/Event Camera Extrinsic Calibration With A Globally Optimal Solution Abstract: The combination of LiDARs and cameras enables a mobile robot to perceive environments with multi-modal data, becoming a key factor in achieving robust perception. Traditional frame cameras are sensitive...	[]	Validation
25,293	24	Title: Federated Learning without Full Labels: A Survey Abstract: Data privacy has become an increasingly important concern in real-world big data applications such as machine learning. To address the problem, federated learning (FL) has been a promising solution to building effective machine learning models from decen...	[]	Train
25,294	24	Title: Adversarial Constrained Bidding via Minimax Regret Optimization with Causality-Aware Reinforcement Learning Abstract: The proliferation of the Internet has led to the emergence of online advertising, driven by the mechanics of online auctions. In these repeated auctions, software agents participate on behalf of ...	[]	Train
25,295	7	Title: ARA-residual power series method for solving partial fractional differential equations Abstract: nan	[]	Train
25,296	2	Title: Improving Probabilistic Bisimulation for MDPs Using Machine Learning Abstract: The utilization of model checking has been suggested as a formal verification technique for analyzing critical systems. However, the primary challenge in applying to complex systems is state space explosion problem. To address this is...	[ 21174 ]	Test
25,297	3	Title: Before and after China's new Data Laws: Privacy in Apps Abstract: Privacy in apps is a topic of widespread interest because many apps collect and share large amounts of highly sensitive information. In response, China introduced a range of new data protection laws over recent years, notably the Personal Informat...	[]	Train
25,298	16	Title: PlantDet: A benchmark for Plant Detection in the Three-Rivers-Source Region Abstract: The Three-River-Source region is a highly significant natural reserve in China that harbors a plethora of botanical resources. To meet the practical requirements of botanical research and intelligent plant management, we constr...	[ 35494 ]	Train
25,299	16	Title: ACDMSR: Accelerated Conditional Diffusion Models for Single Image Super-Resolution Abstract: Diffusion models have gained significant popularity in the field of image-to-image translation. Previous efforts applying diffusion models to image super-resolution (SR) have demonstrated that iteratively refining pure G...	[ 21152, 9233, 35227 ]	Test
25,300	16	Title: HS-Pose: Hybrid Scope Feature Extraction for Category-level Object Pose Estimation Abstract: In this paper, we focus on the problem of category-level object pose estimation, which is challenging due to the large intra-category shape variation. 3D graph convolution (3D-GC) based methods have been widely used to e...	[ 36257, 22861 ]	Test
25,301	10	Title: Polycraft World AI Lab (PAL): An Extensible Platform for Evaluating Artificial Intelligence Agents Abstract: As artificial intelligence research advances, the platforms used to evaluate AI agents need to adapt and grow to continue to challenge them. We present the Polycraft World AI Lab (PAL), a task simulator w...	[ 55 ]	Validation
25,302	28	Title: Performance Analysis of Relay Selection Schemes in Multi-Hop Decode-and-Forward Networks Abstract: This paper analyses the data rate achieved by various relay selection schemes in a single-user multi-hop relay network with decode-and-forward (DF) relaying. While the single-user relay selection problem is well st...	[]	Validation
25,303	30	Title: MegaWika: Millions of reports and their sources across 50 diverse languages Abstract: To foster the development of new models for collaborative AI-assisted report generation, we introduce MegaWika, consisting of 13 million Wikipedia articles in 50 diverse languages, along with their 71 million referenced source ...	[ 27853, 26549 ]	Validation
25,304	30	Title: Skills-in-Context Prompting: Unlocking Compositionality in Large Language Models Abstract: We consider the problem of eliciting compositional generalization capabilities in large language models (LLMs) with a novel type of prompting strategy. Compositional generalization empowers the LLMs to solve problems that ...	[ 13700, 17606, 18059, 34956, 19727 ]	Validation
25,305	6	Title: Modelling human seat contact interaction for vibration comfort Abstract: The seat to head vibration transmissibility depends on various characteristics of the seat and the human body. One of these, is the contact interaction, which transmits vibrational energy from the seat to the body. To enhance ride comfort, ...	[ 20947, 42637 ]	Train
25,306	5	Title: Compatibility of convergence algorithms for autonomous mobile robots Abstract: We investigate autonomous mobile robots in the Euclidean plane. A robot has a function called target function to decide the destination from the robots' positions. Robots may have different target functions. If the robots whose target...	[]	Validation
25,307	16	Title: Vision Conformer: Incorporating Convolutions into Vision Transformer Layers Abstract: Transformers are popular neural network models that use layers of self-attention and fully-connected nodes with embedded tokens. Vision Transformers (ViT) adapt transformers for image recognition tasks. In order to do this, the...	[]	Validation
25,308	30	Title: Neural models for Factual Inconsistency Classification with Explanations Abstract: Factual consistency is one of the most important requirements when editing high quality documents. It is extremely important for automatic text generation systems like summarization, question answering, dialog modeling, and langua...	[]	Test
25,309	24	Title: MGR: Multi-generator Based Rationalization Abstract: Rationalization is to employ a generator and a predictor to construct a self-explaining NLP model in which the generator selects a subset of human-intelligible pieces of the input text to the following predictor. However, rationalization suffers from two key c...	[ 29657 ]	Train
25,310	16	Title: Zero-Shot In-Distribution Detection in Multi-Object Settings Using Vision-Language Foundation Models Abstract: Extracting in-distribution (ID) images from noisy images scraped from the Internet is an important preprocessing for constructing datasets, which has traditionally been done manually. Automating this pr...	[ 20437, 38135 ]	Train
25,311	11	Title: Price of Anarchy in a Double-Sided Critical Distribution System Abstract: Measures of allocation optimality differ significantly when distributing standard tradable goods in peaceful times and scarce resources in crises. While realistic markets offer asymptotic efficiency, they may not necessarily guarantee fair...	[]	Validation
25,312	31	Title: Alleviating Matthew Effect of Offline Reinforcement Learning in Interactive Recommendation Abstract: Offline reinforcement learning (RL), a technology that offline learns a policy from logged data without the need to interact with online environments, has become a favorable choice in decision-making processes li...	[ 25888, 1316, 9414, 43694, 8945, 4147, 32504 ]	Train
25,313	34	Title: B-Treaps Revised: Write Efficient Randomized Block Search Trees with High Load Abstract: Uniquely represented data structures represent each logical state with a unique storage state. We study the problem of maintaining a dynamic set of $n$ keys from a totally ordered universe in this context. We introduce a two...	[]	Train
25,314	16	Title: Self-supervised Multi-task Learning Framework for Safety and Health-Oriented Connected Driving Environment Perception using Onboard Camera Abstract: Cutting-edge connected vehicle (CV) technologies have drawn much attention in recent years. The real-time traffic data captured by a CV can be shared with other CVs...	[]	Train
25,315	6	Title: A Heuristic Approach for Dual Expert/End-User Evaluation of Guidance in Visual Analytics Abstract: Guidance can support users during the exploration and analysis of complex data. Previous research focused on characterizing the theoretical aspects of guidance in visual analytics and implementing guidance in diffe...	[]	Train
25,316	24	Title: Extracting Low-/High- Frequency Knowledge from Graph Neural Networks and Injecting it into MLPs: An Effective GNN-to-MLP Distillation Framework Abstract: Recent years have witnessed the great success of Graph Neural Networks (GNNs) in handling graph-related tasks. However, MLPs remain the primary workhorse for p...	[ 30791 ]	Test
25,317	24	Title: MAP- and MLE-Based Teaching Abstract: Imagine a learner L who tries to infer a hidden concept from a collection of observations. Building on the work [4] of Ferri et al., we assume the learner to be parameterized by priors P(c) and by c-conditional likelihoods P(z\|c) where c ranges over all concepts in a given c...	[]	Test
25,318	16	Title: Split, Merge, and Refine: Fitting Tight Bounding Boxes via Learned Over-Segmentation and Iterative Search Abstract: We present a novel framework for finding a set of tight bounding boxes of a 3D shape via neural-network-based over-segmentation and iterative merging and refinement. Achieving tight bounding boxes ...	[]	Train
25,319	24	Title: One Objective to Rule Them All: A Maximization Objective Fusing Estimation and Planning for Exploration Abstract: In online reinforcement learning (online RL), balancing exploration and exploitation is crucial for finding an optimal policy in a sample-efficient way. To achieve this, existing sample-efficient onl...	[ 24338, 18933 ]	Train
25,320	30	Title: DiffuDetox: A Mixed Diffusion Model for Text Detoxification Abstract: Text detoxification is a conditional text generation task aiming to remove offensive content from toxic text. It is highly useful for online forums and social media, where offensive content is frequently encountered. Intuitively, there are div...	[ 20797 ]	Train
25,321	27	Title: Seeing Through the Grass: Semantic Pointcloud Filter for Support Surface Learning Abstract: Mobile ground robots require perceiving and understanding their surrounding support surface to move around autonomously and safely. The support surface is commonly estimated based on exteroceptive depth measurements, e.g....	[ 3948 ]	Validation
25,322	9	Title: Treewidth is NP-Complete on Cubic Graphs (and related results) Abstract: In this paper, we give a very simple proof that Treewidth is NP-complete; this proof also shows NP-completeness on the class of co-bipartite graphs. We then improve the result by Bodlaender and Thilikos from 1997 that Treewidth is NP-comple...	[]	Train
25,323	24	Title: Agent-based Collaborative Random Search for Hyper-parameter Tuning and Global Function Optimization Abstract: Hyperparameter optimization is one of the most tedious yet crucial steps in training machine learning models. There are numerous methods for this vital model-building stage, ranging from domain-specific ...	[ 5635 ]	Test
25,324	24	Title: Ensemble Synthetic EHR Generation for Increasing Subpopulation Model's Performance Abstract: Electronic health records (EHR) often contain different rates of representation of certain subpopulations (SP). Factors like patient demographics, clinical condition prevalence, and medical center type contribute to this...	[]	Validation
25,325	24	Title: Imperceptible Adversarial Attack on Deep Neural Networks from Image Boundary Abstract: Although Deep Neural Networks (DNNs), such as the convolutional neural networks (CNN) and Vision Transformers (ViTs), have been successfully applied in the field of computer vision, they are demonstrated to be vulnerable to we...	[ 5521 ]	Test
25,326	31	Title: Towards Explainable Collaborative Filtering with Taste Clusters Learning Abstract: Collaborative Filtering (CF) is a widely used and effective technique for recommender systems. In recent decades, there have been significant advancements in latent embedding-based CF methods for improved accuracy, such as matrix ...	[ 15396 ]	Train
25,327	38	Title: Diversity of Expertise is Key to Scientific Impact: a Large-Scale Analysis in the Field of Computer Science Abstract: Understanding the relationship between the composition of a research team and the potential impact of their research papers is crucial as it can steer the development of new science policies for ...	[]	Validation
25,328	24	Title: Prediction, Learning, Uniform Convergence, and Scale-Sensitive Dimensions Abstract: We present a new general-purpose algorithm for learning classes of 0, 1-valued functions in a generalization of the prediction model and prove a general upper bound on the expected absolute error of this algorithm in terms of a s...	[ 24106, 36807, 1551 ]	Train
25,329	16	Title: Learning to Generate Poetic Chinese Landscape Painting with Calligraphy Abstract: In this paper, we present a novel system (denoted as Polaca) to generate poetic Chinese landscape painting with calligraphy. Unlike previous single image-to-image painting generation, Polaca takes the classic poetry as input and ou...	[ 11122 ]	Test
25,330	24	Title: Signal Is Harder To Learn Than Bias: Debiasing with Focal Loss Abstract: Spurious correlations are everywhere. While humans often do not perceive them, neural networks are notorious for learning unwanted associations, also known as biases, instead of the underlying decision rule. As a result, practitioners are o...	[]	Train
25,331	26	Title: Balanced Butterfly Counting in Bipartite-Network Abstract: Bipartite graphs offer a powerful framework for modeling complex relationships between two distinct types of vertices, incorporating probabilistic, temporal, and rating-based information. While the research community has extensively explored various type...	[]	Validation
25,332	30	Title: Review of feedback in Automated Essay Scoring Abstract: The first automated essay scoring system was developed 50 years ago. Automated essay scoring systems are developing into systems with richer functions than the previous simple scoring systems. Its purpose is not only to score essays but also as a learning t...	[]	Test
25,333	24	Title: Protect Federated Learning Against Backdoor Attacks via Data-Free Trigger Generation Abstract: As a distributed machine learning paradigm, Federated Learning (FL) enables large-scale clients to collaboratively train a model without sharing their raw data. However, due to the lack of data auditing for untrusted c...	[]	Train
25,334	31	Title: An Image Dataset for Benchmarking Recommender Systems with Raw Pixels Abstract: Recommender systems (RS) have achieved significant success by leveraging explicit identification (ID) features. However, the full potential of content features, especially the pure image pixel features, remains relatively unexplored....	[ 33697, 9642, 3563, 4535, 30143 ]	Train
25,335	24	Title: Efficacy of Neural Prediction-Based Zero-Shot NAS Abstract: In prediction-based Neural Architecture Search (NAS), performance indicators derived from graph convolutional networks have shown significant success. These indicators, achieved by representing feed-forward structures as component graphs through one-hot...	[ 22816 ]	Train
25,336	31	Title: Curriculum Modeling the Dependence among Targets with Multi-task Learning for Financial Marketing Abstract: Multi-task learning for various real-world applications usually involves tasks with logical sequential dependence. For example, in online marketing, the cascade behavior pattern of impression \rightarrow c...	[]	Train
25,337	23	Title: Coverage Goal Selector for Combining Multiple Criteria in Search-Based Unit Test Generation Abstract: Unit testing is critical to the software development process, ensuring the correctness of basic programming units in a program (e.g., a method). Search-based software testing (SBST) is an automated approach to g...	[]	Train
25,338	27	Title: Adaptive Robotic Information Gathering via Non-Stationary Gaussian Processes Abstract: Robotic Information Gathering (RIG) is a foundational research topic that answers how a robot (team) collects informative data to efficiently build an accurate model of an unknown target function under robot embodiment constra...	[]	Test
25,339	27	Title: NeuronsGym: A Hybrid Framework and Benchmark for Robot Tasks with Sim2Real Policy Learning Abstract: The rise of embodied AI has greatly improved the possibility of general mobile agent systems. At present, many evaluation platforms with rich scenes, high visual fidelity and various application scenarios have be...	[ 15909 ]	Train
25,340	16	Title: Invertible Convolution with Symmetric Paddings Abstract: We show that symmetrically padded convolution can be analytically inverted via DFT. We comprehensively analyze several different symmetric and anti-symmetric padding modes and show that multiple cases exist where the inversion can be achieved. The implemen...	[]	Train
25,341	23	Title: Benchmarks for End-to-End Microservices Testing Abstract: Testing microservice systems involves a large amount of planning and problem-solving. The difficulty of testing microservice systems increases as the size and structure of such systems become more complex. To help the microservice community and simplify e...	[ 12752 ]	Validation
25,342	6	Title: Multi-Objective Personalization in Multi-Stakeholder Organizational Bulk E-mail Abstract: Bulk email is often used in organizations to communicate "important-to-organization'' messages such as policy changes, organizational plans, and administrative updates. However, normal employees may prefer messages more rel...	[ 26697, 27637, 35270, 25007 ]	Validation
25,343	24	Title: Continual Learning in Linear Classification on Separable Data Abstract: We analyze continual learning on a sequence of separable linear classification tasks with binary labels. We show theoretically that learning with weak regularization reduces to solving a sequential max-margin problem, corresponding to a spec...	[ 14618, 30743, 26887, 16687 ]	Test
25,344	24	Title: Short-term Prediction and Filtering of Solar Power Using State-Space Gaussian Processes Abstract: Short-term forecasting of solar photovoltaic energy (PV) production is important for powerplant management. Ideally these forecasts are equipped with error bars, so that downstream decisions can account for uncertai...	[]	Train
25,345	31	Title: SPM: Structured Pretraining and Matching Architectures for Relevance Modeling in Meituan Search Abstract: In e-commerce search, relevance between query and documents is an essential requirement for satisfying user experience. Different from traditional e-commerce platforms that offer products, users search on li...	[]	Train
25,346	30	Title: Counterfactual Debiasing for Generating Factually Consistent Text Summaries Abstract: Despite substantial progress in abstractive text summarization to generate fluent and informative texts, the factual inconsistency in the generated summaries remains an important yet challenging problem to be solved. In this pa...	[]	Train
25,347	24	Title: An Efficient Data Analysis Method for Big Data using Multiple-Model Linear Regression Abstract: This paper introduces a new data analysis method for big data using a newly defined regression model named multiple model linear regression(MMLR), which separates input datasets into subsets and construct local linear...	[]	Test
25,348	4	Title: Differentially Private Selection from Secure Distributed Computing Abstract: Given a collection of vectors $x^{(1)},\dots,x^{(n)} \in \{0,1\}^d$, the selection problem asks to report the index of an"approximately largest"entry in $x=\sum_{j=1}^n x^{(j)}$. Selection abstracts a host of problems--in machine learni...	[]	Test
25,349	10	Title: Selective Explanations: Leveraging Human Input to Align Explainable AI Abstract: While a vast collection of explainable AI (XAI) algorithms have been developed in recent years, they are often criticized for significant gaps with how humans produce and consume explanations. As a result, current XAI techniques are...	[ 18819, 20709, 6544, 2770, 23897 ]	Train
25,350	16	Title: HSTFormer: Hierarchical Spatial-Temporal Transformers for 3D Human Pose Estimation Abstract: .	[]	Test
25,351	16	Title: WCCNet: Wavelet-integrated CNN with Crossmodal Rearranging Fusion for Fast Multispectral Pedestrian Detection Abstract: Multispectral pedestrian detection achieves better visibility in challenging conditions and thus has a broad application in various tasks, for which both the accuracy and computational cost are...	[]	Test
25,352	24	Title: Towards Multi-User Activity Recognition through Facilitated Training Data and Deep Learning for Human-Robot Collaboration Applications Abstract: Human-robot interaction (HRI) research is progressively addressing multi-party scenarios, where a robot interacts with more than one human user at the same time. Conver...	[]	Validation
25,353	27	Title: Contrastive Label Disambiguation for Self-Supervised Terrain Traversability Learning in Off-Road Environments Abstract: Discriminating the traversability of terrains is a crucial task for autonomous driving in off-road environments. However, it is challenging due to the diverse, ambiguous, and platform-specific ...	[]	Test
25,354	24	Title: GARCIA: Powering Representations of Long-tail Query with Multi–granularity Contrastive Learning Abstract: Recently, the growth of service platforms brings great convenience to both users and merchants, where the service search engine plays a vital role in improving the user experience by quickly obtaining desira...	[]	Test
25,355	24	Title: Comparison of classifiers in challenge scheme Abstract: In recent decades, challenges have become very popular in scientific research as these are crowdsourcing schemes. In particular, challenges are essential for developing machine learning algorithms. For the challenges settings, it is vital to establish the s...	[]	Train
25,356	27	Title: DAVIS-Ag: A Synthetic Plant Dataset for Developing Domain-Inspired Active Vision in Agricultural Robots Abstract: In agricultural environments, viewpoint planning can be a critical functionality for a robot with visual sensors to obtain informative observations of objects of interest (e.g., fruits) from complex ...	[]	Train
25,357	24	Title: Retail Demand Forecasting: A Comparative Study for Multivariate Time Series Abstract: Accurate demand forecasting in the retail industry is a critical determinant of financial performance and supply chain efficiency. As global markets become increasingly interconnected, businesses are turning towards advanced pr...	[]	Train
25,358	16	Title: STNet: Spatial and Temporal feature fusion network for change detection in remote sensing images Abstract: As an important task in remote sensing image analysis, remote sensing change detection (RSCD) aims to identify changes of interest in a region from spatially co-registered multi-temporal remote sensing imag...	[]	Train
25,359	6	Title: Accessibility Metatesting: Comparing Nine Testing Tools Abstract: Automated web accessibility testing tools have been found complementary. The implication: To catch as many issues as possible, use multiple tools. Doing this efficiently entails integration costs. Is there a small set of tools that, together, make...	[]	Train
25,360	16	Title: Infrastructure Crack Segmentation: Boundary Guidance Method and Benchmark Dataset Abstract: Cracks provide an essential indicator of infrastructure performance degradation, and achieving high-precision pixel-level crack segmentation is an issue of concern. Unlike the common research paradigms that adopt novel ar...	[]	Validation
25,361	16	Title: SurgMAE: Masked Autoencoders for Long Surgical Video Analysis Abstract: There has been a growing interest in using deep learning models for processing long surgical videos, in order to automatically detect clinical/operational activities and extract metrics that can enable workflow efficiency tools and applicati...	[ 10356 ]	Train
25,362	24	Title: Conformal Generative Modeling on Triangulated Surfaces Abstract: We propose conformal generative modeling, a framework for generative modeling on 2D surfaces approximated by discrete triangle meshes. Our approach leverages advances in discrete conformal geometry to develop a map from a source triangle mesh to a ...	[]	Test
25,363	30	Title: Are Large Language Models Fit For Guided Reading? Abstract: This paper looks at the ability of large language models to participate in educational guided reading. We specifically, evaluate their ability to generate meaningful questions from the input text, generate diverse questions both in terms of content cove...	[ 13700 ]	Train
25,364	10	Title: Knowledge Propagation over Conditional Independence Graphs Abstract: Conditional Independence (CI) graph is a special type of a Probabilistic Graphical Model (PGM) where the feature connections are modeled using an undirected graph and the edge weights show the partial correlation strength between the features. ...	[ 18278 ]	Train
25,365	16	Title: Focus for Free in Density-Based Counting Abstract: This work considers supervised learning to count from images and their corresponding point annotations. Where density-based counting methods typically use the point annotations only to create Gaussian-density maps, which act as the supervision signal, the starti...	[ 12457 ]	Train
25,366	6	Title: Development of a Metaverse Platform for Tourism Promotion in Apulia Abstract: Metaverse is an engaging way to recreate in a digital environment the real world. It allows people to connect not by just browsing a website, but by using headsets and virtual reality techniques. The metaverse is actually in a rapid de...	[]	Test
25,367	30	Title: Paraphrasing evades detectors of AI-generated text, but retrieval is an effective defense Abstract: To detect the deployment of large language models for malicious use cases (e.g., fake content creation or academic plagiarism), several approaches have recently been proposed for identifying AI-generated text via ...	[ 31362, 6531, 34438, 1416, 6410, 39438, 20756, 6934, 22935, 30366, 24614, 11817, 22574, 35502, 26427, 315, 61, 44603, 43974, 22476, 35927, 6744, 38235, 24412, 27367, 497, 36341, 10749 ]	Train
25,368	16	Title: Text-to-image Diffusion Models in Generative AI: A Survey Abstract: This survey reviews text-to-image diffusion models in the context that diffusion models have emerged to be popular for a wide range of generative tasks. As a self-contained work, this survey starts with a brief introduction of how a basic diffus...	[ 20993, 3203, 28932, 34311, 8084, 45080, 24986, 42267, 6687, 29354, 1836, 42032, 16697, 7867, 43328, 1603, 26825, 39759, 21714, 11732, 24149, 16728, 30936, 14047, 17248, 27232, 24549, 1899, 8308, 3066, 46075 ]	Train
25,369	10	Title: Probabilistic contingent planning based on HTN for high-quality plans Abstract: Deterministic planning assumes that the planning evolves along a fully predictable path, and therefore it loses the practical value in most real projections. A more realistic view is that planning ought to take into consideration par...	[]	Train
25,370	16	Title: FocusFlow: Boosting Key-Points Optical Flow Estimation for Autonomous Driving Abstract: Key-point-based scene understanding is fundamental for autonomous driving applications. At the same time, optical flow plays an important role in many vision tasks. However, due to the implicit bias of equal attention on all ...	[ 34074, 15258, 31155, 16255 ]	Test
25,371	5	Title: Quiver: Supporting GPUs for Low-Latency, High-Throughput GNN Serving with Workload Awareness Abstract: Systems for serving inference requests on graph neural networks (GNN) must combine low latency with high throughout, but they face irregular computation due to skew in the number of sampled graph nodes and aggr...	[]	Train
25,372	27	Title: Robust Learning-Based Incipient Slip Detection using the PapillArray Optical Tactile Sensor for Improved Robotic Gripping Abstract: The ability to detect slip, particularly incipient slip, enables robotic systems to take corrective measures to prevent a grasped object from being dropped. Therefore, slip detectio...	[]	Train
25,373	16	Title: PotatoPestNet: A CTInceptionV3-RS-Based Neural Network for Accurate Identification of Potato Pests Abstract: Potatoes are the third-largest food crop globally, but their production frequently encounters difficulties because of aggressive pest infestations. The aim of this study is to investigate the various type...	[]	Train
25,374	24	Title: INCREASE: Inductive Graph Representation Learning for Spatio-Temporal Kriging Abstract: Spatio-temporal kriging is an important problem in web and social applications, such as Web or Internet of Things, where things (e.g., sensors) connected into a web often come with spatial and temporal properties. It aims to ...	[ 31358 ]	Test
25,375	6	Title: Towards Transparent, Reusable, and Customizable Data Science in Computational Notebooks Abstract: Data science workflows are human-centered processes involving on-demand programming and analysis. While programmable and interactive interfaces such as widgets embedded within computational notebooks are suitable fo...	[ 34456, 15533 ]	Validation
25,376	16	Title: Hierarchical Supervision and Shuffle Data Augmentation for 3D Semi-Supervised Object Detection Abstract: State-of-the-art 3D object detectors are usually trained on large-scale datasets with high-quality 3D annotations. However, such 3D annotations are often expensive and time-consuming, which may not be practic...	[ 19400, 41730, 18013, 13165 ]	Validation
25,377	28	Title: Environment Semantic Aided Communication: A Real World Demonstration for Beam Prediction Abstract: Millimeter-wave (mmWave) and terahertz (THz) communication systems adopt large antenna arrays to ensure adequate receive signal power. However, adjusting the narrow beams of these antenna arrays typically incurs hi...	[ 30008 ]	Test

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