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
43,178	6	Title: A Framework for Computational Design and Adaptation of Extended Reality User Interfaces Abstract: To facilitate high quality interaction during the regular use of computing systems, it is essential that the user interface (UI) deliver content and components in an appropriate manner. Although extended reality (XR...	[]	Train
43,179	16	Title: SCT: A Simple Baseline for Parameter-Efficient Fine-Tuning via Salient Channels Abstract: Pre-trained vision transformers have strong representation benefits to various downstream tasks. Recently, many parameter-efficient fine-tuning (PEFT) methods have been proposed, and their experiments demonstrate that tunin...	[ 34464, 35664 ]	Train
43,180	16	Title: One-shot lip-based biometric authentication: extending behavioral features with authentication phrase information Abstract: Lip-based biometric authentication (LBBA) is an authentication method based on a person's lip movements during speech in the form of video data captured by a camera sensor. LBBA can utilize...	[]	Train
43,181	27	Title: BAMF-SLAM: Bundle Adjusted Multi-Fisheye Visual-Inertial SLAM Using Recurrent Field Transforms Abstract: In this paper, we present BAMF-SLAM, a novel multi-fisheye visual-inertial SLAM system that utilizes Bundle Adjustment (BA) and recurrent field transforms (RFT) to achieve accurate and robust state estimation...	[ 33792 ]	Train
43,182	3	Title: Unveiling and Mitigating Bias in Ride-Hailing Pricing for Equitable Policy Making Abstract: Ride-hailing services have skyrocketed in popularity due to the convenience they offer, but recent research has shown that their pricing strategies can have a disparate impact on some riders, such as those living in disad...	[]	Train
43,183	4	Title: RIS-Assisted Physical Layer Authentication for 6G Endogenous Security Abstract: The physical layer authentication (PLA) is a promising technology which can enhance the access security of a massive number of devices in the near future. In this paper, we propose a reconfigurable intelligent surface (RIS)-assisted ...	[ 29519 ]	Validation
43,184	16	Title: GeoSpark: Sparking up Point Cloud Segmentation with Geometry Clue Abstract: Current point cloud segmentation architectures suffer from limited long-range feature modeling, as they mostly rely on aggregating information with local neighborhoods. Furthermore, in order to learn point features at multiple scales, mo...	[]	Train
43,185	24	Title: Reducing Blackwell and Average Optimality to Discounted MDPs via the Blackwell Discount Factor Abstract: We introduce the Blackwell discount factor for Markov Decision Processes (MDPs). Classical objectives for MDPs include discounted, average, and Blackwell optimality. Many existing approaches to computing aver...	[ 24751 ]	Train
43,186	23	Title: Neural Program Repair with Program Dependence Analysis and Effective Filter Mechanism Abstract: Automated program repair is a crucial task for improving the efficiency of software developers. Recently, neural-based techniques have demonstrated significant promise in generating correct patches for buggy code snip...	[ 22097 ]	Train
43,187	36	Title: On the Computational Complexity of Mechanism Design in Single-Crossing Settings Abstract: We explore the performance of polynomial-time incentive-compatible mechanisms in single-crossing domains. Single-crossing domains were extensively studied in the economics literature. Roughly speaking, a domain is single cr...	[]	Train
43,188	24	Title: Improving Gradient Computation for Differentiable Physics Simulation with Contacts Abstract: Differentiable simulation enables gradients to be back-propagated through physics simulations. In this way, one can learn the dynamics and properties of a physics system by gradient-based optimization or embed the whole ...	[]	Train
43,189	24	Title: Privacy and Fairness in Federated Learning: on the Perspective of Trade-off Abstract: Federated learning (FL) has been a hot topic in recent years. Ever since it was introduced, researchers have endeavored to devise FL systems that protect privacy or ensure fair results, with most research focusing on one or the...	[]	Validation
43,190	16	Title: Object-Aware Distillation Pyramid for Open-Vocabulary Object Detection Abstract: Open-vocabulary object detection aims to provide object detectors trained on a fixed set of object categories with the generalizability to detect objects described by arbitrary text queries. Previous methods adopt knowledge distilla...	[]	Test
43,191	30	Title: On the Pareto Front of Multilingual Neural Machine Translation Abstract: In this work, we study how the generalization performance of a given direction changes with its sampling ratio in Multilingual Neural Machine Translation (MNMT). By training over 200 multilingual models with various model sizes, directions,...	[ 33220 ]	Train
43,192	14	Title: Classifying sequences by combining context-free grammars and OWL ontologies Abstract: nan	[]	Train
43,193	24	Title: Deep learning for dynamic graphs: models and benchmarks Abstract: Recent progress in research on Deep Graph Networks (DGNs) has led to a maturation of the domain of learning on graphs. Despite the growth of this research field, there are still important challenges that are yet unsolved. Specifically, there is an...	[ 35356, 28263 ]	Validation
43,194	28	Title: Algebraic Geometry Codes for Secure Distributed Matrix Multiplication Abstract: In this paper, we propose a novel construction for secure distributed matrix multiplication (SDMM) based on algebraic geometry (AG) codes, which we call the PoleGap SDMM scheme. The proposed construction is inspired by the GASP code,...	[ 18061, 40638 ]	Train
43,195	23	Title: Demystifying Random Number in Ethereum Smart Contract: Taxonomy, Vulnerability Identification, and Attack Detection Abstract: Recent years have witnessed explosive growth in blockchain smart contract applications. As smart contracts become increasingly popular and carry trillion dollars worth of digital assets, ...	[ 17648 ]	Test
43,196	23	Title: Multilingual Code Co-Evolution Using Large Language Models Abstract: Many software projects implement APIs and algorithms in multiple programming languages. Maintaining such projects is tiresome, as developers have to ensure that any change (e.g., a bug fix or a new feature) is being propagated, timely and witho...	[ 28809, 33490 ]	Validation
43,197	24	Title: A roadmap to fair and trustworthy prediction model validation in healthcare Abstract: A prediction model is most useful if it generalizes beyond the development data with external validations, but to what extent should it generalize remains unclear. In practice, prediction models are externally validated using d...	[]	Train
43,198	6	Title: Towards considering digital transformation of human interactions through the lens of health Abstract: The profound intertwining of digital interactions with traditional human interactions has spawned a novel mode of human interactions at both individual and population levels, carrying substantial ramifications f...	[]	Test
43,199	30	Title: Being Right for Whose Right Reasons? Abstract: Explainability methods are used to benchmark the extent to which model predictions align with human rationales i.e., are ‘right for the right reasons’. Previous work has failed to acknowledge, however, that what counts as a rationale is sometimes subjective. This pa...	[]	Validation
43,200	34	Title: Noisy Computing of the OR and MAX Functions Abstract: We consider the problem of computing a function of $n$ variables using noisy queries, where each query is incorrect with some fixed and known probability $p \in (0,1/2)$. Specifically, we consider the computation of the $\mathsf{OR}$ function of $n$ bits (whe...	[ 18749 ]	Validation
43,201	24	Title: Resurrecting Recurrent Neural Networks for Long Sequences Abstract: Recurrent Neural Networks (RNNs) offer fast inference on long sequences but are hard to optimize and slow to train. Deep state-space models (SSMs) have recently been shown to perform remarkably well on long sequence modeling tasks, and have the ...	[ 35267, 15973, 5510, 41534, 43496, 19885, 35533, 30005, 45142, 18777, 33626, 27835, 14909, 10494, 45695 ]	Train
43,202	24	Title: Fixing confirmation bias in feature attribution methods via semantic match Abstract: Feature attribution methods have become a staple method to disentangle the complex behavior of black box models. Despite their success, some scholars have argued that such methods suffer from a serious flaw: they do not allow a ...	[]	Train
43,203	17	Title: Synthesizing Physical Character-Scene Interactions Abstract: Movement is how people interact with and affect their environment. For realistic character animation, it is necessary to synthesize such interactions between virtual characters and their surroundings. Despite recent progress in character animation usin...	[ 35770, 38181, 34579, 15221, 759, 5784, 35194 ]	Train
43,204	16	Title: UCDFormer: Unsupervised Change Detection Using a Transformer-driven Image Translation Abstract: Change detection (CD) by comparing two bi-temporal images is a crucial task in remote sensing. With the advantages of requiring no cumbersome labeled change information, unsupervised CD has attracted extensive attenti...	[ 8332 ]	Train
43,205	22	Title: pun: Fun with Properties; Towards a Programming Language With Built-in Facilities for Program Validation Abstract: Property-based testing is a powerful method to validate program correctness. It is, however, not widely use in industry as the barrier of entry can be very high. One of the hindrances is to write th...	[]	Test
43,206	16	Title: Part-Aware Transformer for Generalizable Person Re-identification Abstract: Domain generalization person re-identification (DG-ReID) aims to train a model on source domains and generalize well on unseen domains. Vision Transformer usually yields better generalization ability than common CNN networks under distri...	[]	Train
43,207	16	Title: A Real-world Dataset and Benchmark For Foundation Model Adaptation in Medical Image Classification Abstract: nan	[]	Train
43,208	36	Title: Bilateral Trade with Correlated Values Abstract: We study the bilateral trade problem where a seller owns a single indivisible item, and a potential buyer seeks to purchase it. Previous mechanisms for this problem only considered the case where the values of the buyer and the seller are drawn from independent di...	[ 35648, 17374 ]	Train
43,209	30	Title: TaskWeb: Selecting Better Source Tasks for Multi-task NLP Abstract: Recent work in NLP has shown promising results in training models on large amounts of tasks to achieve better generalization. However, it is not well-understood how tasks are related, and how helpful training tasks can be chosen for a new task. ...	[ 45848, 25892 ]	Train
43,210	24	Title: Evaluating the reliability of automatically generated pedestrian and bicycle crash surrogates Abstract: Vulnerable road users (VRUs), such as pedestrians and bicyclists, are at a higher risk of being involved in crashes with motor vehicles, and crashes involving VRUs also are more likely to result in severe inju...	[]	Train
43,211	10	Title: An Artificial Intelligence-based Framework to Achieve the Sustainable Development Goals in the Context of Bangladesh Abstract: Sustainable development is a framework for achieving human development goals. It provides natural systems' ability to deliver natural resources and ecosystem services. Sustainable develo...	[]	Train
43,212	30	Title: Zshot: An Open-source Framework for Zero-Shot Named Entity Recognition and Relation Extraction Abstract: The Zero-Shot Learning (ZSL) task pertains to the identification of entities or relations in texts that were not seen during training. ZSL has emerged as a critical research area due to the scarcity of labele...	[]	Validation
43,213	30	Title: A Graph-Guided Reasoning Approach for Open-ended Commonsense Question Answering Abstract: Recently, end-to-end trained models for multiple-choice commonsense question answering (QA) have delivered promising results. However, such question-answering systems cannot be directly applied in real-world scenarios where...	[]	Train
43,214	27	Title: Understanding URDF: A Survey Based on User Experience Abstract: With the increasing complexity of robot systems, it is necessary to simulate them before deployment. To do this, a model of the robot's kinematics or dynamics is required. One of the most commonly used formats for modeling robots is the Unified Robo...	[ 42609 ]	Train
43,215	24	Title: Hierarchical Grammar-Induced Geometry for Data-Efficient Molecular Property Prediction Abstract: The prediction of molecular properties is a crucial task in the field of material and drug discovery. The potential benefits of using deep learning techniques are reflected in the wealth of recent literature. Still, ...	[]	Test
43,216	24	Title: Causal normalizing flows: from theory to practice Abstract: In this work, we deepen on the use of normalizing flows for causal reasoning. Specifically, we first leverage recent results on non-linear ICA to show that causal models are identifiable from observational data given a causal ordering, and thus can be r...	[]	Validation
43,217	37	Title: Two-layer Space-oriented Partitioning for Non-point Data Abstract: Non-point spatial objects (e.g., polygons, linestrings, etc.) are ubiquitous. We study the problem of indexing non-point objects in memory for range queries and spatial intersection joins. We propose a secondary partitioning technique for space-o...	[]	Train
43,218	16	Title: NeuBTF: Neural fields for BTF encoding and transfer Abstract: nan	[ 541, 24743 ]	Train
43,219	30	Title: Eyettention: An Attention-based Dual-Sequence Model for Predicting Human Scanpaths during Reading Abstract: Eye movements during reading offer insights into both the reader's cognitive processes and the characteristics of the text that is being read. Hence, the analysis of scanpaths in reading have attracted inc...	[]	Train
43,220	3	Title: Towards Reconciling Usability and Usefulness of Explainable AI Methodologies Abstract: Interactive Artiﬁcial Intelligence (AI) agents are becoming increasingly prevalent in society. However, application of such systems without understanding them can be problematic. Black-box AI systems can lead to liability and ...	[]	Test
43,221	30	Title: Sentence Simplification via Large Language Models Abstract: Sentence Simplification aims to rephrase complex sentences into simpler sentences while retaining original meaning. Large Language models (LLMs) have demonstrated the ability to perform a variety of natural language processing tasks. However, it is not ...	[ 16418, 30770, 37797, 42566 ]	Train
43,222	6	Title: Data Owner Benefit-Driven Design of People Analytics Abstract: With increasingly digitalized workplaces, the potential for sophisticated analyses of employee data rises. This increases the relevance of people analytics (PA), which are tools for the behavioral analysis of employees. Despite this potential, the su...	[ 21946 ]	Train
43,223	16	Title: Cross-domain Compositing with Pretrained Diffusion Models Abstract: Diffusion models have enabled high-quality, conditional image editing capabilities. We propose to expand their arsenal, and demonstrate that off-the-shelf diffusion models can be used for a wide range of cross-domain compositing tasks. Among num...	[ 17633, 44621, 11182 ]	Train
43,224	7	Title: Data-Driven Games in Computational Mechanics Abstract: We resort to game theory in order to formulate Data-Driven methods for solid mechanics in which stress and strain players pursue different objectives. The objective of the stress player is to minimize the discrepancy to a material data set, whereas the objec...	[]	Test
43,225	16	Title: Rethinking Adversarial Training with A Simple Baseline Abstract: We report competitive results on RobustBench for CIFAR and SVHN using a simple yet effective baseline approach. Our approach involves a training protocol that integrates rescaled square loss, cyclic learning rates, and erasing-based data augmentati...	[ 33414, 23803, 10606 ]	Validation
43,226	24	Title: Adaptive Parameterization of Deep Learning Models for Federated Learning Abstract: Federated Learning offers a way to train deep neural networks in a distributed fashion. While this addresses limitations related to distributed data, it incurs a communication overhead as the model parameters or gradients need to ...	[ 40484 ]	Validation
43,227	16	Title: Leveraging Visemes for Better Visual Speech Representation and Lip Reading Abstract: Lip reading is a challenging task that has many potential applications in speech recognition, human-computer interaction, and security systems. However, existing lip reading systems often suffer from low accuracy due to the limi...	[ 35737 ]	Validation
43,228	16	Title: Deep Prototypical-Parts Ease Morphological Kidney Stone Identification and are Competitively Robust to Photometric Perturbations Abstract: Identifying the type of kidney stones can allow urologists to determine their cause of formation, improving the prescription of appropriate treatments to diminish future rela...	[ 29929 ]	Train
43,229	30	Title: Retrieval-based Text Selection for Addressing Class-Imbalanced Data in Classification Abstract: This paper addresses the problem of selecting of a set of texts for annotation in text classification using retrieval methods when there are limits on the number of annotations due to constraints on human resources. A...	[]	Train
43,230	9	Title: The Maximum Matrix Contraction Problem Abstract: nan	[]	Test
43,231	18	Title: A Survey of Dataspace Connector Implementations Abstract: The concept of dataspaces aims to facilitate secure and sovereign data exchange among multiple stakeholders. Technical implementations known as"connectors"support the definition of usage control policies and the verifiable enforcement of such policies. Th...	[]	Train
43,232	3	Title: On the Robustness of Topics API to a Re-Identification Attack Abstract: Web tracking through third-party cookies is considered a threat to users' privacy and is supposed to be abandoned in the near future. Recently, Google proposed the Topics API framework as a privacy-friendly alternative for behavioural advert...	[ 40279 ]	Validation
43,233	25	Title: Few-shot bioacoustic event detection at the DCASE 2023 challenge Abstract: Few-shot bioacoustic event detection consists in detecting sound events of specified types, in varying soundscapes, while having access to only a few examples of the class of interest. This task ran as part of the DCASE challenge for the ...	[]	Test
43,234	16	Title: Saliency-based Video Summarization for Face Anti-spoofing Abstract: Due to the growing availability of face anti-spoofing databases, researchers are increasingly focusing on video-based methods that use hundreds to thousands of images to assess their impact on performance. However, there is no clear consensus on...	[ 13128, 4578, 35943 ]	Validation
43,235	24	Title: Domain Adaptation via Rebalanced Sub-domain Alignment Abstract: Unsupervised domain adaptation (UDA) is a technique used to transfer knowledge from a labeled source domain to a different but related unlabeled target domain. While many UDA methods have shown success in the past, they often assume that the source ...	[]	Validation
43,236	24	Title: Magnificent Minified Models Abstract: This paper concerns itself with the task of taking a large trained neural network and 'compressing' it to be smaller by deleting parameters or entire neurons, with minimal decreases in the resulting model accuracy. We compare various methods of parameter and neuron selection...	[]	Train
43,237	24	Title: Activity Classification Using Unsupervised Domain Transfer from Body Worn Sensors Abstract: Activity classification has become a vital feature of wearable health tracking devices. As innovation in this field grows, wearable devices worn on different parts of the body are emerging. To perform activity classificat...	[]	Validation
43,238	24	Title: Proceedings of the NeurIPS 2021 Workshop on Machine Learning for the Developing World: Global Challenges Abstract: These are the proceedings of the 5th workshop on Machine Learning for the Developing World (ML4D), held as part of the Thirty-fifth Conference on Neural Information Processing Systems (NeurIPS) on D...	[]	Train
43,239	24	Title: W-MAE: Pre-trained weather model with masked autoencoder for multi-variable weather forecasting Abstract: Weather forecasting is a long-standing computational challenge with direct societal and economic impacts. This task involves a large amount of continuous data collection and exhibits rich spatiotemporal depe...	[]	Test
43,240	27	Title: Intuitive Robot Integration via Virtual Reality Workspaces Abstract: As robots become increasingly prominent in di-verse industrial settings, the desire for an accessible and reliable system has correspondingly increased. Yet, the task of meaningfully assessing the feasibility of introducing a new robotic compon...	[]	Train
43,241	27	Title: Identifying Reaction-Aware Driving Styles of Stochastic Model Predictive Controlled Vehicles by Inverse Reinforcement Learning Abstract: The driving style of an Autonomous Vehicle (AV) refers to how it behaves and interacts with other AVs. In a multi-vehicle autonomous driving system, an AV capable of identifyin...	[]	Test
43,242	24	Title: Hyperbolic Convolutional Neural Networks Abstract: Deep Learning is mostly responsible for the surge of interest in Artificial Intelligence in the last decade. So far, deep learning researchers have been particularly successful in the domain of image processing, where Convolutional Neural Networks are used. Alth...	[]	Train
43,243	30	Title: PromptNER: Prompt Locating and Typing for Named Entity Recognition Abstract: Prompt learning is a new paradigm for utilizing pre-trained language models and has achieved great success in many tasks. To adopt prompt learning in the NER task, two kinds of methods have been explored from a pair of symmetric perspec...	[]	Train
43,244	27	Title: Multi Agent Navigation in Unconstrained Environments using a Centralized Attention based Graphical Neural Network Controller Abstract: In this work, we propose a learning based neural model that provides both the longitudinal and lateral control commands to simultaneously navigate multiple vehicles. The goal is ...	[]	Validation
43,245	16	Title: $\mathbf{C}^2$Former: Calibrated and Complementary Transformer for RGB-Infrared Object Detection Abstract: Object detection on visible (RGB) and infrared (IR) images, as an emerging solution to facilitate robust detection for around-the-clock applications, has received extensive attention in recent years. With t...	[]	Train
43,246	24	Title: Robust Uncertainty Quantification using Conformalised Monte Carlo Prediction Abstract: Deploying deep learning models in safety-critical applications remains a very challenging task, mandating the provision of assurances for the dependable operation of these models. Uncertainty quantification (UQ) methods estima...	[]	Train
43,247	24	Title: Categorification of Group Equivariant Neural Networks Abstract: We present a novel application of category theory for deep learning. We show how category theory can be used to understand and work with the linear layer functions of group equivariant neural networks whose layers are some tensor power space of $\ma...	[ 38039, 27322, 35583 ]	Validation
43,248	16	Title: Exploring Incompatible Knowledge Transfer in Few-shot Image Generation Abstract: Few-shot image generation (FSIG) learns to generate diverse and high-fidelity images from a target domain using a few (e.g., 10) reference samples. Existing FSIG methods select, preserve and transfer prior knowledge from a source ge...	[ 44769, 7586, 23364, 33766, 43144, 7418, 1082 ]	Validation
43,249	13	Title: A Convolutional Spiking Network for Gesture Recognition in Brain-Computer Interfaces Abstract: Brain-computer interfaces are being explored for a wide variety of therapeutic applications. Typically, this involves measuring and analyzing continuous-time electrical brain activity via techniques such as electrocort...	[]	Train
43,250	31	Title: A Survey on Multi-Behavior Sequential Recommendation Abstract: Recommender systems is set up to address the issue of information overload in traditional information retrieval systems, which is focused on recommending information that is of most interest to users from massive information. Generally, there is a se...	[ 40192, 4610 ]	Test
43,251	16	Title: Uncertainty-based Detection of Adversarial Attacks in Semantic Segmentation Abstract: State-of-the-art deep neural networks have proven to be highly powerful in a broad range of tasks, including semantic image segmentation. However, these networks are vulnerable against adversarial attacks, i.e., non-perceptible...	[ 22372 ]	Test
43,252	24	Title: $G$-Mapper: Learning a Cover in the Mapper Construction Abstract: The Mapper algorithm is a visualization technique in topological data analysis (TDA) that outputs a graph reflecting the structure of a given dataset. The Mapper algorithm requires tuning several parameters in order to generate a"nice"Mapper graph...	[]	Train
43,253	10	Title: AI-Enhanced Intensive Care Unit: Revolutionizing Patient Care with Pervasive Sensing Abstract: The intensive care unit (ICU) is a specialized hospital space where critically ill patients receive intensive care and monitoring. Comprehensive monitoring is imperative in assessing patients conditions, in particular ...	[]	Validation
43,254	27	Title: Aerial Manipulator Force Control Using Control Barrier Functions Abstract: This article studies the problem of applying normal forces on a surface, using an underactuated aerial vehicle equipped with a dexterous robotic arm. A force-motion high-level controller is designed based on a Lyapunov function encompassi...	[]	Train
43,255	16	Title: An extensible point-based method for data chart value detection Abstract: We present an extensible method for identifying semantic points to reverse engineer (i.e. extract the values of) data charts, particularly those in scientific articles. Our method uses a point proposal network (akin to region proposal netw...	[]	Validation
43,256	24	Title: A Survey of What to Share in Federated Learning: Perspectives on Model Utility, Privacy Leakage, and Communication Efficiency Abstract: Federated learning (FL) has emerged as a highly effective paradigm for privacy-preserving collaborative training among different parties. Unlike traditional centralized learning...	[ 1920, 36609, 13510, 10186, 26256, 38934, 38746 ]	Train
43,257	16	Title: At Your Fingertips: Extracting Piano Fingering Instructions from Videos Abstract: Piano fingering -- knowing which finger to use to play each note in a musical piece, is a hard and important skill to master when learning to play the piano. While some sheet music is available with expert-annotated fingering infor...	[]	Train
43,258	31	Title: Bridging Dense and Sparse Maximum Inner Product Search Abstract: Maximum inner product search (MIPS) over dense and sparse vectors have progressed independently in a bifurcated literature for decades; the latter is better known as top-$k$ retrieval in Information Retrieval. This duality exists because sparse and...	[ 35755 ]	Test
43,259	16	Title: Understanding the Benefits of Image Augmentations Abstract: Image Augmentations are widely used to reduce overfitting in neural networks. However, the explainability of their benefits largely remains a mystery. We study which layers of residual neural networks (ResNets) are most affected by augmentations using C...	[ 42698 ]	Train
43,260	5	Title: An efficient implicit constraint resolution scheme for interactive FE simulations Abstract: This paper presents a novel implicit scheme for the constraint resolution in real-time finite element simulations in the presence of contact and friction. Instead of using the standard motion correction scheme, we propose...	[]	Train
43,261	16	Title: Exploiting Unlabelled Photos for Stronger Fine-Grained SBIR Abstract: This paper advances the fine-grained sketch-based image retrieval (FG-SBIR) literature by putting forward a strong baseline that overshoots prior state-of-the-arts by ≈11 %. This is not via complicated design though, but by addressing two crit...	[ 20841, 21446, 11686 ]	Train
43,262	30	Title: Rumour Detection and Analysis on Twitter Abstract: In recent years people have become increasingly reliant on social media to read news and get information, and some social media users post unsubstantiated information to gain attention. Such information is known as rumours. Nowadays, rumour detection is receivin...	[]	Train
43,263	24	Title: Can we avoid Double Descent in Deep Neural Networks? Abstract: Finding the optimal size of deep learning models is very actual and of broad impact, especially in energy-saving schemes. Very recently, an unexpected phenomenon, the ``double descent'', has caught the attention of the deep learning community. As the...	[ 3572, 17518 ]	Test
43,264	27	Title: Borinot: an agile torque-controlled robot for hybrid flying and contact loco-manipulation (workshop version) Abstract: This paper introduces Borinot, an open-source flying robotic platform designed to perform hybrid agile locomotion and manipulation. This platform features a compact and powerful hexarotor that c...	[]	Validation
43,265	30	Title: Summarization with Precise Length Control Abstract: Many applications of text generation such as summarization benefit from accurately controlling the text length. Existing approaches on length-controlled summarization either result in degraded performance or can only control the length approximately. In this wo...	[]	Validation
43,266	16	Title: Robust Asymmetric Loss for Multi-Label Long-Tailed Learning Abstract: In real medical data, training samples typically show long-tailed distributions with multiple labels. Class distribution of the medical data has a long-tailed shape, in which the incidence of different diseases is quite varied, and at the same...	[ 420 ]	Validation
43,267	30	Title: Read, Diagnose and Chat: Towards Explainable and Interactive LLMs-Augmented Depression Detection in Social Media Abstract: This paper proposes a new depression detection system based on LLMs that is both interpretable and interactive. It not only provides a diagnosis, but also diagnostic evidence and personalize...	[ 13700, 43371, 6700, 27281, 7827, 24756, 33461, 32282, 26973, 43327 ]	Train
43,268	7	Title: Cellular blood flow modelling with HemoCell Abstract: Many of the intriguing properties of blood originate from its cellular nature. Bulk effects, such as viscosity, depend on the local shear rates and on the size of the vessels. While empirical descriptions of bulk rheology are available for decades, their vali...	[]	Train
43,269	24	Title: Genomic Interpreter: A Hierarchical Genomic Deep Neural Network with 1D Shifted Window Transformer Abstract: Given the increasing volume and quality of genomics data, extracting new insights requires interpretable machine-learning models. This work presents Genomic Interpreter: a novel architecture for genomic a...	[]	Train
43,270	30	Title: Founding a mathematical diffusion model in linguistics. The case study of German syntactic features in the North-Eastern Italian dialects Abstract: The initial motivation for this work was the linguistic case of the spread of Germanic syntactic features into Romance dialects of North-Eastern Italy, which occurre...	[]	Train
43,271	30	Title: Explicit Planning Helps Language Models in Logical Reasoning Abstract: Language models have been shown to perform remarkably well on a wide range of natural language processing tasks. In this paper, we propose a novel system that uses language models to perform multi-step logical reasoning. Our system incorporat...	[ 15211, 29454, 6353, 40377, 45406 ]	Train
43,272	10	Title: Linking Streets in OpenStreetMap to Persons in Wikidata Abstract: Geographic web sources such as OpenStreetMap (OSM) and knowledge graphs such as Wikidata are often unconnected. An example connection that can be established between these sources are links between streets in OSM to the persons in Wikidata they we...	[]	Train
43,273	30	Title: A multi-modal panel dataset to understand the psychological impact of the pandemic Abstract: Besides far-reaching public health consequences, the COVID-19 pandemic had a significant psychological impact on people around the world. To gain further insight into this matter, we introduce the Real World Worry Waves ...	[]	Train
43,274	24	Title: Graph Analysis Using a GPU-based Parallel Algorithm: Quantum Clustering Abstract: The article introduces a new method for applying Quantum Clustering to graph structures. Quantum Clustering (QC) is a novel density-based unsupervised learning method that determines cluster centers by constructing a potential func...	[]	Train
43,275	16	Title: CircleFormer: Circular Nuclei Detection in Whole Slide Images with Circle Queries and Attention Abstract: Both CNN-based and Transformer-based object detection with bounding box representation have been extensively studied in computer vision and medical image analysis, but circular object detection in medical im...	[]	Train
43,276	20	Title: Solving Fréchet Distance Problems by Algebraic Geometric Methods Abstract: We study several polygonal curve problems under the Fr\'{e}chet distance via algebraic geometric methods. Let $\mathbb{X}_m^d$ and $\mathbb{X}_k^d$ be the spaces of all polygonal curves of $m$ and $k$ vertices in $\mathbb{R}^d$, respectiv...	[]	Validation
43,277	3	Title: Applying Standards to Advance Upstream & Downstream Ethics in Large Language Models Abstract: This paper explores how AI-owners can develop safeguards for AI-generated content by drawing from established codes of conduct and ethical standards in other content-creation industries. It delves into the current state...	[ 13700, 35621, 30407, 6942, 6328, 4027, 13278, 4863 ]	Test

Subsets and Splits

No community queries yet

The top public SQL queries from the community will appear here once available.