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
22,578	30	Title: Teaching Large Language Models to Self-Debug Abstract: Large language models (LLMs) have achieved impressive performance on code generation. However, for complex programming tasks, generating the correct solution in one go becomes challenging, thus some prior works have designed program repair approaches to impr...	[ 770, 18306, 8580, 21893, 34820, 30087, 34953, 36494, 145, 5522, 35091, 43415, 25881, 34208, 29728, 43298, 37411, 28962, 40610, 10023, 44584, 11305, 23159, 14380, 39340, 40368, 26673, 4658, 25522, 39602, 45362, 11190, 9143, 36406, 46006, 6458, 8...	Test
22,579	31	Title: Graph-Based Model-Agnostic Data Subsampling for Recommendation Systems Abstract: Data subsampling is widely used to speed up the training of large-scale recommendation systems. Most subsampling methods are model-based and often require a pre-trained pilot model to measure data importance via e.g. sample hardness...	[]	Test
22,580	24	Title: Improving Reliability of Fine-tuning with Block-wise Optimisation Abstract: Finetuning can be used to tackle domain-specific tasks by transferring knowledge. Previous studies on finetuning focused on adapting only the weights of a task-specific classifier or re-optimizing all layers of the pre-trained model usin...	[]	Train
22,581	22	Title: Context Sensitivity without Contexts: A Cut-Shortcut Approach to Fast and Precise Pointer Analysis Abstract: Over the past decades, context sensitivity has been considered as one of the most effective ideas for improving the precision of pointer analysis for Java. Different from the extremely fast context-insens...	[]	Validation
22,582	24	Title: Trajectory-User Linking via Hierarchical Spatio-Temporal Attention Networks Abstract: Trajectory-User Linking (TUL) is crucial for human mobility modeling by linking different trajectories to users with the exploration of complex mobility patterns. Existing works mainly rely on the recurrent neural framework to ...	[]	Validation
22,583	17	Title: 4D Agnostic Real-Time Facial Animation Pipeline for Desktop Scenarios Abstract: We present a high-precision real-time facial animation pipeline suitable for animators to use on their desktops. This pipeline is about to be launched in FACEGOOD's Avatary\footnote{https://www.avatary.com/} software, which will acce...	[]	Train
22,584	16	Title: Scribble-Supervised RGB-T Salient Object Detection Abstract: Salient object detection segments attractive objects in scenes. RGB and thermal modalities provide complementary information and scribble annotations alleviate large amounts of human labor. Based on the above facts, we propose a scribble-supervised RGB...	[ 16030 ]	Train
22,585	16	Title: Grid-Centric Traffic Scenario Perception for Autonomous Driving: A Comprehensive Review Abstract: Grid-centric perception is a crucial field for mobile robot perception and navigation. Nonetheless, grid-centric perception is less prevalent than object-centric perception for autonomous driving as autonomous vehic...	[ 10240, 386, 34088, 42472, 8906, 18283, 17612, 5584, 27763, 29716, 24600 ]	Train
22,586	4	Title: Generalized Rainbow Differential Privacy Abstract: We study a new framework for designing differentially private (DP) mechanisms via randomized graph colorings, called rainbow differential privacy. In this framework, datasets are nodes in a graph, and two neighboring datasets are connected by an edge. Each datas...	[]	Train
22,587	16	Title: Rank Flow Embedding for Unsupervised and Semi-Supervised Manifold Learning Abstract: Impressive advances in acquisition and sharing technologies have made the growth of multimedia collections and their applications almost unlimited. However, the opposite is true for the availability of labeled data, which is nee...	[]	Train
22,588	6	Title: Sensecape: Enabling Multilevel Exploration and Sensemaking with Large Language Models Abstract: People are increasingly turning to large language models (LLMs) for complex information tasks like academic research or planning a move to another city. However, while they often require working in a nonlinear manner ...	[ 13510 ]	Train
22,589	34	Title: All-Norm Load Balancing in Graph Streams via the Multiplicative Weights Update Method Abstract: In the weighted load balancing problem, the input is an $n$-vertex bipartite graph between a set of clients and a set of servers, and each client comes with some nonnegative real weight. The output is an assignment th...	[]	Validation
22,590	27	Title: Multitask Learning for Multiple Recognition Tasks: A Framework for Lower-limb Exoskeleton Robot Applications Abstract: To control the lower-limb exoskeleton robot effectively, it is essential to accurately recognize user status and environmental conditions. Previous studies have typically addressed these recogni...	[]	Train
22,591	24	Title: Learning Neural PDE Solvers with Parameter-Guided Channel Attention Abstract: Scientific Machine Learning (SciML) is concerned with the development of learned emulators of physical systems governed by partial differential equations (PDE). In application domains such as weather forecasting, molecular dynamics, an...	[]	Train
22,592	30	Title: Sentiment Perception Adversarial Attacks on Neural Machine Translation Systems Abstract: With the advent of deep learning methods, Neural Machine Translation (NMT) systems have become increasingly powerful. However, deep learning based systems are susceptible to adversarial attacks, where imperceptible changes t...	[ 12218 ]	Train
22,593	27	Title: CATNIPS: Collision Avoidance Through Neural Implicit Probabilistic Scenes Abstract: We formalize a novel interpretation of Neural Radiance Fields (NeRFs) as giving rise to a Poisson Point Process (PPP). This PPP interpretation allows for rigorous quantification of uncertainty in NeRFs, in particular, for computi...	[ 43077, 8606 ]	Train
22,594	16	Title: Cross-resolution Face Recognition via Identity-Preserving Network and Knowledge Distillation Abstract: Cross-resolution face recognition has become a challenging problem for modern deep face recognition systems. It aims at matching a low-resolution probe image with high-resolution gallery images registered in a ...	[]	Train
22,595	24	Title: Reparameterization through Spatial Gradient Scaling Abstract: Reparameterization aims to improve the generalization of deep neural networks by transforming convolutional layers into equivalent multi-branched structures during training. However, there exists a gap in understanding how reparameterization may chang...	[]	Test
22,596	24	Title: EXACT: Extensive Attack for Split Learning Abstract: Privacy-Preserving machine learning (PPML) can help us train and deploy models that utilize private information. In particular, on-device Machine Learning allows us to completely avoid sharing information with a third-party server during inference. However, on...	[]	Test
22,597	27	Title: Sim-to-real transfer of active suspension control using deep reinforcement learning Abstract: We explore sim-to-real transfer of deep reinforcement learning controllers for a heavy vehicle with active suspensions designed for traversing rough terrain. While related research primarily focuses on lightweight robot...	[ 19369 ]	Test
22,598	25	Title: PMVC: Data Augmentation-Based Prosody Modeling for Expressive Voice Conversion Abstract: Voice conversion as the style transfer task applied to speech, refers to converting one person's speech into a new speech that sounds like another person's. Up to now, there has been a lot of research devoted to better imple...	[ 9873, 4946, 27362, 1199 ]	Train
22,599	27	Title: Autonomous Reflectance Transformation Imaging by a Team of Unmanned Aerial Vehicles Abstract: A Reflectance Transformation Imaging technique (RTI) realized by multi-rotor Unmanned Aerial Vehicles (UAVs) with a focus on deployment in difficult to access buildings is presented in this letter. RTI is a computationa...	[ 27877, 35213, 35630, 13049, 38809, 45306 ]	Validation
22,600	25	Title: Uncovering the Deceptions: An Analysis on Audio Spoofing Detection and Future Prospects Abstract: Audio has become an increasingly crucial biometric modality due to its ability to provide an intuitive way for humans to interact with machines. It is currently being used for a range of applications including perso...	[]	Train
22,601	16	Title: 3D Object Detection in LiDAR Point Clouds using Graph Neural Networks Abstract: LiDAR (Light Detection and Ranging) is an advanced active remote sensing technique working on the principle of time of travel (ToT) for capturing highly accurate 3D information of the surroundings. LiDAR has gained wide attention in ...	[]	Train
22,602	30	Title: Many-to-Many Spoken Language Translation via Unified Speech and Text Representation Learning with Unit-to-Unit Translation Abstract: In this paper, we propose a method to learn unified representations of multilingual speech and text with a single model, especially focusing on the purpose of speech synthesis. We ...	[ 13700, 10534, 6440, 19464, 13896, 26153, 36618, 33326, 21778, 25052 ]	Train
22,603	9	Title: Fourier Growth of Communication Protocols for XOR Functions Abstract: The level-$k$ $\ell_1$-Fourier weight of a Boolean function refers to the sum of absolute values of its level-$k$ Fourier coefficients. Fourier growth refers to the growth of these weights as $k$ grows. It has been extensively studied for vari...	[]	Train
22,604	27	Title: Stealthy Perception-based Attacks on Unmanned Aerial Vehicles Abstract: In this work, we study vulnerability of unmanned aerial vehicles (UAVs) to stealthy attacks on perception-based control. To guide our analysis, we consider two specific missions: ($i$) ground vehicle tracking (GVT), and (ii) vertical take-of...	[]	Train
22,605	30	Title: Transformer Based Implementation for Automatic Book Summarization Abstract: Document Summarization is the procedure of generating a meaningful and concise summary of a given document with the inclusion of relevant and topic-important points. There are two approaches: one is picking up the most relevant statement...	[]	Validation
22,606	3	Title: The Dark Side of ChatGPT: Legal and Ethical Challenges from Stochastic Parrots and Hallucination Abstract: With the launch of ChatGPT, Large Language Models (LLMs) are shaking up our whole society, rapidly altering the way we think, create and live. For instance, the GPT integration in Bing has altered our appro...	[ 42586 ]	Test
22,607	24	Title: The inverse problem for neural networks Abstract: We study the problem of computing the preimage of a set under a neural network with piecewise-affine activation functions. We recall an old result that the preimage of a polyhedral set is again a union of polyhedral sets and can be effectively computed. We show s...	[ 1787 ]	Test
22,608	3	Title: Opponents and proponents of the war in Ukraine in Russian social media: who are they? Abstract: Understanding the personality of Russians who support the war in Ukraine is one of the key steps to understanding how this war became possible. However, during the war, traditional sociological methods are not always ...	[]	Train
22,609	6	Title: Human-vehicle interaction for autonomous vehicles in crosswalk scenarios: Field experiments with pedestrians and passengers Abstract: This paper presents the results of real-world testing of human-vehicle interactions with an autonomous vehicle equipped with internal and external Human Machine Interfaces (HMIs) ...	[ 2766 ]	Train
22,610	24	Title: Efficient Defense Against Model Stealing Attacks on Convolutional Neural Networks Abstract: Model stealing attacks have become a serious concern for deep learning models, where an attacker can steal a trained model by querying its black-box API. This can lead to intellectual property theft and other security and...	[]	Train
22,611	24	Title: A feature selection method for driver stress detection using heart rate variability and breathing rate Abstract: Driver stress is a major cause of car accidents and death worldwide. Furthermore, persistent stress is a health problem, contributing to hypertension and other diseases of the cardiovascular system. S...	[]	Train
22,612	24	Title: Optimality of Message-Passing Architectures for Sparse Graphs Abstract: We study the node classification problem on feature-decorated graphs in the sparse setting, i.e., when the expected degree of a node is $O(1)$ in the number of nodes. Such graphs are typically known to be locally tree-like. We introduce a no...	[ 24506, 43963 ]	Test
22,613	16	Title: View Consistency Aware Holistic Triangulation for 3D Human Pose Estimation Abstract: The rapid development of multi-view 3D human pose estimation (HPE) is attributed to the maturation of monocular 2D HPE and the geometry of 3D reconstruction. However, 2D detection outliers in occluded views due to neglect of vie...	[]	Test
22,614	24	Title: Neural Collapse Terminus: A Unified Solution for Class Incremental Learning and Its Variants Abstract: How to enable learnability for new classes while keeping the capability well on old classes has been a crucial challenge for class incremental learning. Beyond the normal case, long-tail class incremental learn...	[ 27209, 1186, 7175 ]	Test
22,615	24	Title: Autoencoder-based Anomaly Detection in Streaming Data with Incremental Learning and Concept Drift Adaptation Abstract: In our digital universe nowadays, enormous amount of data are produced in a streaming manner in a variety of application areas. These data are often unlabelled. In this case, identifying infrequ...	[]	Test
22,616	16	Title: LayoutDiffuse: Adapting Foundational Diffusion Models for Layout-to-Image Generation Abstract: Layout-to-image generation refers to the task of synthesizing photo-realistic images based on semantic layouts. In this paper, we propose LayoutDiffuse that adapts a foundational diffusion model pretrained on large-sca...	[ 33932, 37977, 20474, 39324, 16381 ]	Test
22,617	24	Title: GFDC: A Granule Fusion Density-Based Clustering with Evidential Reasoning Abstract: Currently, density-based clustering algorithms are widely applied because they can detect clusters with arbitrary shapes. However, they perform poorly in measuring global density, determining reasonable cluster centers or structu...	[]	Train
22,618	16	Title: Learning Occupancy for Monocular 3D Object Detection Abstract: Monocular 3D detection is a challenging task due to the lack of accurate 3D information. Existing approaches typically rely on geometry constraints and dense depth estimates to facilitate the learning, but often fail to fully exploit the benefits of ...	[]	Validation
22,619	27	Title: Adaptive Coverage Path Planning for Efficient Exploration of Unknown Environments Abstract: We present a method for solving the coverage problem with the objective of autonomously exploring an unknown environment under mission time constraints. Here, the robot is tasked with planning a path over a horizon such t...	[ 18488, 4964 ]	Train
22,620	5	Title: A Case for Offloading Federated Learning Server on Smart NIC Abstract: Federated learning is a distributed machine learning approach where local weight parameters trained by clients locally are aggregated as global parameters by a server. The global parameters can be trained without uploading privacy-sensitive r...	[]	Train
22,621	16	Title: CRADL: Contrastive Representations for Unsupervised Anomaly Detection and Localization Abstract: Unsupervised anomaly detection in medical imaging aims to detect and localize arbitrary anomalies without requiring annotated anomalous data during training. Often, this is achieved by learning a data distribution of...	[ 44024 ]	Test
22,622	24	Title: On the hierarchical Bayesian modelling of frequency response functions Abstract: Population-based structural health monitoring (PBSHM) aims to share valuable information among members of a population, such as normal- and damage-condition data, to improve inferences regarding the health states of the members. Eve...	[]	Train
22,623	24	Title: FOSI: Hybrid First and Second Order Optimization Abstract: Though second-order optimization methods are highly effective, popular approaches in machine learning such as SGD and Adam use only first-order information due to the difficulty of computing curvature in high dimensions. We present FOSI, a novel meta-alg...	[]	Test
22,624	23	Title: Code-centric Learning-based Just-In-Time Vulnerability Detection Abstract: Attacks against computer systems exploiting software vulnerabilities can cause substantial damage to the cyber-infrastructure of our modern society and economy. To minimize the consequences, it is vital to detect and fix vulnerabilities a...	[ 32597, 10381 ]	Train
22,625	10	Title: Personalized Federated Learning via Gradient Modulation for Heterogeneous Text Summarization Abstract: Text summarization is essential for information aggregation and demands large amounts of training data. However, concerns about data privacy and security limit data collection and model training. To eliminate t...	[]	Train
22,626	30	Title: Beam Retrieval: General End-to-End Retrieval for Multi-Hop Question Answering Abstract: Multi-hop QA involves finding multiple relevant passages and step-by-step reasoning to answer complex questions. While previous approaches have developed retrieval modules for selecting relevant passages, they face challenges...	[ 39852, 13700 ]	Test
22,627	16	Title: Tracking Anything in High Quality Abstract: Visual object tracking is a fundamental video task in computer vision. Recently, the notably increasing power of perception algorithms allows the unification of single/multiobject and box/mask-based tracking. Among them, the Segment Anything Model (SAM) attracts much a...	[ 18112, 26484 ]	Test
22,628	27	Title: Consecutive Inertia Drift of Autonomous RC Car via Primitive-based Planning and Data-driven Control Abstract: Inertia drift is an aggressive transitional driving maneuver, which is challenging due to the high nonlinearity of the system and the stringent requirement on control and planning performance. This paper...	[]	Train
22,629	13	Title: InfLoR-SNN: Reducing Information Loss for Spiking Neural Networks Abstract: The Spiking Neural Network (SNN) has attracted more and more attention recently. It adopts binary spike signals to transmit information. Benefitting from the information passing paradigm of SNNs, the multiplications of activations and we...	[ 14532, 25384, 36842, 27662, 39312, 45329, 18231, 33240, 37372 ]	Train
22,630	24	Title: DIVA: A Dirichlet Process Based Incremental Deep Clustering Algorithm via Variational Auto-Encoder Abstract: Generative model-based deep clustering frameworks excel in classifying complex data, but are limited in handling dynamic and complex features because they require prior knowledge of the number of clusters...	[ 45991 ]	Train
22,631	24	Title: PFL-GAN: When Client Heterogeneity Meets Generative Models in Personalized Federated Learning Abstract: Recent advances of generative learning models are accompanied by the growing interest in federated learning (FL) based on generative adversarial network (GAN) models. In the context of FL, GAN can capture the ...	[ 5609 ]	Test
22,632	16	Title: When SAM Meets Shadow Detection Abstract: As a promptable generic object segmentation model, segment anything model (SAM) has recently attracted significant attention, and also demonstrates its powerful performance. Nevertheless, it still meets its Waterloo when encountering several tasks, e.g., medical image se...	[ 12704, 19907, 41008, 27866, 35263 ]	Train
22,633	36	Title: On Lower Bounds for Maximin Share Guarantees Abstract: We study the problem of fairly allocating a set of indivisible items to a set of agents with additive valuations. Recently, Feige et al. (WINE'21) proved that a maximin share (MMS) allocation exists for all instances with n agents and no more than n + 5 item...	[]	Validation
22,634	30	Title: Meta Semantics: Towards better natural language understanding and reasoning Abstract: Natural language understanding is one of the most challenging topics in artificial intelligence. Deep neural network methods, particularly large language module (LLM) methods such as ChatGPT and GPT-3, have powerful flexibility...	[ 44246 ]	Train
22,635	24	Title: DualHGNN: A Dual Hypergraph Neural Network for Semi-Supervised Node Classification based on Multi-View Learning and Density Awareness Abstract: Graph-based semi-supervised node classification has been shown to become a state-of-the-art approach in many applications with high research value and significance. Most...	[]	Train
22,636	10	Title: Learning Deductive Reasoning from Synthetic Corpus based on Formal Logic Abstract: We study a synthetic corpus-based approach for language models (LMs) to acquire logical deductive reasoning ability. The previous studies generated deduction examples using specific sets of deduction rules. However, these rules we...	[ 27879 ]	Test
22,637	27	Title: Sliding Touch-based Exploration for Modeling Unknown Object Shape with Multi-fingered Hands Abstract: Efficient and accurate 3D object shape reconstruction contributes significantly to the success of a robot's physical interaction with its environment. Acquiring accurate shape information about unknown objects i...	[]	Train
22,638	30	Title: Diving Deep into Modes of Fact Hallucinations in Dialogue Systems Abstract: Knowledge Graph(KG) grounded conversations often use large pre-trained models and usually suffer from fact hallucination. Frequently entities with no references in knowledge sources and conversation history are introduced into responses,...	[ 31832, 16401, 38102 ]	Train
22,639	16	Title: ObjectSDF++: Improved Object-Compositional Neural Implicit Surfaces Abstract: In recent years, neural implicit surface reconstruction has emerged as a popular paradigm for multi-view 3D reconstruction. Unlike traditional multi-view stereo approaches, the neural implicit surface-based methods leverage neural netw...	[ 28714, 36030, 40220, 20262 ]	Test
22,640	8	Title: Point Cloud-based Proactive Link Quality Prediction for Millimeter-wave Communications Abstract: This study demonstrates the feasibility of point cloud-based proactive link quality prediction for millimeter-wave (mmWave) communications. Previous studies have proposed machine learning-based methods to predict rec...	[ 29914 ]	Train
22,641	26	Title: Regret, Delete, (Do Not) Repeat: An Analysis of Self-Cleaning Practices on Twitter After the Outbreak of the COVID-19 Pandemic Abstract: During the outbreak of the COVID-19 pandemic, many people shared their symptoms across Online Social Networks (OSNs) like Twitter, hoping for others’ advice or moral support. P...	[ 36220 ]	Test
22,642	23	Title: Exploring the Advances in Identifying Useful Code Review Comments Abstract: Effective peer code review in collaborative software development necessitates useful reviewer comments and supportive automated tools. Code review comments are a central component of the Modern Code Review process in the industry and ope...	[ 24086 ]	Train
22,643	30	Title: A Method for Studying Semantic Construal in Grammatical Constructions with Interpretable Contextual Embedding Spaces Abstract: We study semantic construal in grammatical constructions using large language models. First, we project contextual word embeddings into three interpretable semantic spaces, each defined ...	[ 45844 ]	Train
22,644	38	Title: The Digitization of Historical Astrophysical Literature with Highly-Localized Figures and Figure Captions Abstract: Scientific articles published prior to the"age of digitization"in the late 1990s contain figures which are"trapped"within their scanned pages. While progress to extract figures and their captions h...	[ 10405 ]	Validation
22,645	16	Title: FishMOT: A Simple and Effective Method for Fish Tracking Based on IoU Matching Abstract: Fish tracking plays a vital role in understanding fish behavior and ecology. However, existing tracking methods face challenges in accuracy and robustness dues to morphological change of fish, occlusion and complex environme...	[]	Validation
22,646	24	Title: Multi-Classification using One-versus-One Deep Learning Strategy with Joint Probability Estimates Abstract: The One-versus-One (OvO) strategy is an approach of multi-classification models which focuses on training binary classifiers between each pair of classes. While the OvO strategy takes advantage of balanced...	[]	Test
22,647	7	Title: A New Learning Approach for Noise Reduction Abstract: Noise is a part of data whether the data is from measurement, experiment or ... A few techniques are suggested for noise reduction to improve the data quality in recent years some of which are based on wavelet, orthogonalization and neural networks. The compu...	[]	Train
22,648	16	Title: LexLIP: Lexicon-Bottlenecked Language-Image Pre-Training for Large-Scale Image-Text Retrieval Abstract: Image-text retrieval (ITR) is a task to retrieve the relevant images/texts, given the query from another modality. The conventional dense retrieval paradigm relies on encoding images and texts into dense repre...	[]	Train
22,649	23	Title: Synthesizing Speech Test Cases with Text-to-Speech? An Empirical Study on the False Alarms in Automated Speech Recognition Testing Abstract: Recent studies have proposed the use of Text-To-Speech (TTS) systems to automatically synthesise speech test cases on a scale and uncover a large number of failures in ASR ...	[ 42256, 12170 ]	Train
22,650	31	Title: Extending Cross-Modal Retrieval with Interactive Learning to Improve Image Retrieval Performance in Forensics Abstract: Nowadays, one of the critical challenges in forensics is analyzing the enormous amounts of unstructured digital evidence, such as images. Often, unstructured digital evidence contains precious ...	[]	Train
22,651	16	Title: Towards Universal Fake Image Detectors that Generalize Across Generative Models Abstract: With generative models proliferating at a rapid rate, there is a growing need for general purpose fake image detectors. In this work, we first show that the existing paradigm, which consists of training a deep network for r...	[ 1688, 41146, 38386, 33939 ]	Train
22,652	10	Title: A Multi-Modal Neural Geometric Solver with Textual Clauses Parsed from Diagram Abstract: Geometry problem solving (GPS) is a high-level mathematical reasoning requiring the capacities of multi-modal fusion and geometric knowledge application. Recently, neural solvers have shown great potential in GPS but still b...	[]	Train
22,653	31	Title: AdaptiveRec: Adaptively Construct Pairs for Contrastive Learning in Sequential Recommendation Abstract: This paper presents a solution to the challenges faced by contrastive learning in sequential recommendation systems. In particular, it addresses the issue of false negative, which limits the effectiveness of r...	[]	Train
22,654	16	Title: SeaFormer: Squeeze-enhanced Axial Transformer for Mobile Semantic Segmentation Abstract: Since the introduction of Vision Transformers, the landscape of many computer vision tasks (e.g., semantic segmentation), which has been overwhelmingly dominated by CNNs, recently has significantly revolutionized. However, t...	[ 31816, 35980, 13582, 10511, 13077, 41109, 33944, 23775 ]	Validation
22,655	5	Title: Ethereum Proof-of-Stake Consensus Layer: Participation and Decentralization Abstract: In September 2022, Ethereum transitioned from Proof-of-Work (PoW) to Proof-of-Stake (PoS) during 'the merge' - making it the largest PoS cryptocurrency in terms of market capitalization. With this work, we present a comprehensi...	[ 42081, 16196, 37065, 32337, 14772, 43959 ]	Train
22,656	16	Title: Distributed bundle adjustment with block-based sparse matrix compression for super large scale datasets Abstract: We propose a distributed bundle adjustment (DBA) method using the exact Levenberg-Marquardt (LM) algorithm for super large-scale datasets. Most of the existing methods partition the global map to sma...	[]	Test
22,657	28	Title: Task-Effective Compression of Observations for the Centralized Control of a Multi-agent System Over Bit-Budgeted Channels Abstract: We consider a task-effective quantization problem that arises when multiple agents are controlled via a centralized controller (CC). While agents have to communicate their observati...	[ 12506 ]	Test
22,658	30	Title: Contrastive Loss is All You Need to Recover Analogies as Parallel Lines Abstract: While static word embedding models are known to represent linguistic analogies as parallel lines in high-dimensional space, the underlying mechanism as to why they result in such geometric structures remains obscure. We find that a...	[]	Train
22,659	27	Title: PyFlyt - UAV Simulation Environments for Reinforcement Learning Research Abstract: Unmanned aerial vehicles (UAVs) have numerous applications, but their efficient and optimal flight can be a challenge. Reinforcement Learning (RL) has emerged as a promising approach to address this challenge, yet there is no stan...	[]	Train
22,660	10	Title: Attention Schema in Neural Agents Abstract: Attention has become a common ingredient in deep learning architectures. It adds a dynamical selection of information on top of the static selection of information supported by weights. In the same way, we can imagine a higher-order informational filter built on top of...	[ 9686 ]	Validation
22,661	25	Title: Robust and lightweight audio fingerprint for Automatic Content Recognition Abstract: This research paper presents a novel audio fingerprinting system for Automatic Content Recognition (ACR). By using signal processing techniques and statistical transformations, our proposed method generates compact fingerprints ...	[]	Train
22,662	16	Title: Multi-scale Target-Aware Framework for Constrained Image Splicing Detection and Localization Abstract: Constrained image splicing detection and localization (CISDL) is a fundamental task of multimedia forensics, which detects splicing operation between two suspected images and localizes the spliced region on bot...	[ 26484 ]	Train
22,663	6	Title: Dynamic Field-Programmable Logic-Driven Soft Exosuit Abstract: The next generation of etextiles foresees an era of smart wearable garments where embedded seamless intelligence provides the ability to sense, process, and perform. Core to this vision is embedded textile functionality enabling dynamic configuration...	[]	Train
22,664	16	Title: Prompt me a Dataset: An investigation of text-image prompting for historical image dataset creation using foundation models Abstract: In this paper, we present a pipeline for image extraction from historical documents using foundation models, and evaluate text-image prompts and their effectiveness on humanities ...	[]	Test
22,665	16	Title: NTIRE 2023 Quality Assessment of Video Enhancement Challenge Abstract: This paper reports on the NTIRE 2023 Quality Assessment of Video Enhancement Challenge, which will be held in conjunction with the New Trends in Image Restoration and Enhancement Workshop (NTIRE) at CVPR 2023. This challenge is to address a m...	[ 29873, 23332, 5206 ]	Train
22,666	27	Title: Inverse kinematics and path planning of manipulator using real quantifier elimination based on Comprehensive Gröbner Systems Abstract: Methods for inverse kinematics computation and path planning of a three degree-of-freedom (DOF) manipulator using the algorithm for quantifier elimination based on Comprehensive ...	[]	Validation
22,667	30	Title: When Do Discourse Markers Affect Computational Sentence Understanding? Abstract: The capabilities and use cases of automatic natural language processing (NLP) have grown significantly over the last few years. While much work has been devoted to understanding how humans deal with discourse connectives, this pheno...	[]	Validation
22,668	30	Title: Making Pre-trained Language Models both Task-solvers and Self-calibrators Abstract: Pre-trained language models (PLMs) serve as backbones for various real-world systems. For high-stake applications, it's equally essential to have reasonable confidence estimations in predictions. While the vanilla confidence scor...	[ 45338, 4431 ]	Train
22,669	4	Title: CBSeq: A Channel-Level Behavior Sequence for Encrypted Malware Traffic Detection Abstract: Machine learning and neural networks have become increasingly popular solutions for encrypted malware traffic detection. They mine and learn complex traffic patterns, enabling detection by fitting boundaries between malwar...	[]	Train
22,670	30	Title: UniversalNER: Targeted Distillation from Large Language Models for Open Named Entity Recognition Abstract: Large language models (LLMs) have demonstrated remarkable generalizability, such as understanding arbitrary entities and relations. Instruction tuning has proven effective for distilling LLMs into more cost...	[ 13345, 12741, 8614, 15402, 30221, 9934, 33808, 23252, 31189, 43641, 25786 ]	Train
22,671	30	Title: Semiparametric Language Models Are Scalable Continual Learners Abstract: Semiparametric language models (LMs) have shown promise in continuously learning from new text data by combining a parameterized neural LM with a growable non-parametric memory for memorizing new content. However, conventional semiparametri...	[ 5817 ]	Validation
22,672	15	Title: DeepBurning-MixQ: An Open Source Mixed-Precision Neural Network Accelerator Design Framework for FPGAs Abstract: Mixed-precision neural networks (MPNNs) that enable the use of just enough data width for a deep learning task promise significant advantages of both inference accuracy and computing overhead. FPGAs w...	[]	Train
22,673	24	Title: Stochastic Cell Transmission Models of Traffic Networks Abstract: We introduce a rigorous framework for stochastic cell transmission models for general traffic networks. The performance of traffic systems is evaluated based on preference functionals and acceptable designs. The numerical implementation combines s...	[]	Train
22,674	4	Title: Pool Inference Attacks on Local Differential Privacy: Quantifying the Privacy Guarantees of Apple's Count Mean Sketch in Practice Abstract: Behavioral data generated by users' devices, ranging from emoji use to pages visited, are collected at scale to improve apps and services. These data, however, contain fine-...	[ 41657, 6035, 20663 ]	Train
22,675	4	Title: Privacy Protectability: An Information-theoretical Approach Abstract: Recently, inference privacy has attracted increasing attention. The inference privacy concern arises most notably in the widely deployed edge-cloud video analytics systems, where the cloud needs the videos captured from the edge. The video dat...	[]	Train
22,676	8	Title: The Potential of LEO Satellites in 6G Space-Air-Ground Enabled Access Networks Abstract: Space-air-ground integrated networks (SAGINs) help enhance the service performance in the sixth generation communication system. SAGIN is basically composed of satellites, aerial vehicles, ground facilities, as well as multi...	[]	Train
22,677	30	Title: PronounFlow: A Hybrid Approach for Calibrating Pronouns in Sentences Abstract: Flip through any book or listen to any song lyrics, and you will come across pronouns that, in certain cases, can hinder meaning comprehension, especially for machines. As the role of having cognitive machines becomes pervasive in our...	[ 3980, 45631 ]	Train

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