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
18,778	10	Title: Feature Importance versus Feature Influence and What It Signifies for Explainable AI Abstract: When used in the context of decision theory, feature importance expresses how much changing the value of a feature can change the model outcome (or the utility of the outcome), compared to other features. Feature impor...	[]	Train
18,779	27	Title: Deep Functional Predictive Control for Strawberry Cluster Manipulation using Tactile Prediction Abstract: This paper introduces a novel approach to address the problem of Physical Robot Interaction (PRI) during robot pushing tasks. The approach uses a data-driven forward model based on tactile predictions to inf...	[ 31469 ]	Train
18,780	16	Title: Deep Richardson-Lucy Deconvolution for Low-Light Image Deblurring Abstract: Images taken under the low-light condition often contain blur and saturated pixels at the same time. Deblurring images with saturated pixels is quite challenging. Because of the limited dynamic range, the saturated pixels are usually cli...	[]	Test
18,781	24	Title: Model-based Programming: Redefining the Atomic Unit of Programming for the Deep Learning Era Abstract: This paper introduces and explores a new programming paradigm, Model-based Programming, designed to address the challenges inherent in applying deep learning models to real-world applications. Despite recent si...	[]	Train
18,782	16	Title: CoNe: Contrast Your Neighbours for Supervised Image Classification Abstract: Image classification is a longstanding problem in computer vision and machine learning research. Most recent works (e.g. SupCon , Triplet, and max-margin) mainly focus on grouping the intra-class samples aggressively and compactly, with...	[ 28428 ]	Train
18,783	23	Title: Reflecting on the Use of the Policy-Process-Product Theory in Empirical Software Engineering Abstract: The primary theory of software engineering is that an organization's Policies and Processes influence the quality of its Products. We call this the PPP Theory. Although empirical software engineering research h...	[]	Test
18,784	30	Title: Enhancing Pashto Text Classification using Language Processing Techniques for Single And Multi-Label Analysis Abstract: Text classification has become a crucial task in various fields, leading to a significant amount of research on developing automated text classification systems for national and international l...	[]	Train
18,785	30	Title: Distilling Script Knowledge from Large Language Models for Constrained Language Planning Abstract: In everyday life, humans often plan their actions by following step-by-step instructions in the form of goal-oriented scripts. Previous work has exploited language models (LMs) to plan for abstract goals of stereot...	[ 35395, 33477, 36709, 18007, 28606 ]	Train
18,786	30	Title: Data Augmentation Approaches for Source Code Models: A Survey Abstract: The increasingly popular adoption of source code in many critical tasks motivates the development of data augmentation (DA) techniques to enhance training data and improve various capabilities (e.g., robustness and generalizability) of these...	[ 7936, 23425, 4130, 32450, 46052, 12497, 39826, 14869, 16214, 36406, 33853 ]	Validation
18,787	27	Title: Cross-Tool and Cross-Behavior Perceptual Knowledge Transfer for Grounded Object Recognition Abstract: Humans learn about objects via interaction and using multiple perceptions, such as vision, sound, and touch. While vision can provide information about an object's appearance, non-visual sensors, such as audio a...	[ 3096, 4034 ]	Train
18,788	2	Title: Implementation of Formal Semantics and the Potential of Non-Classical Logic Systems for the Enhancement of Access Control Models: A Literature Review Abstract: This literature review discovers an implementation of formal logic systems in cyber security by enhancing access control models. We explore the character...	[]	Test
18,789	6	Title: INDCOR White Paper 5: Addressing Societal Issues in Interactive Digital Narratives Abstract: This white paper introduces Interactive Digital Narratives (IDN) as a powerful tool for tackling the complex challenges we face in today's society. In the scope of COST Action 18230 - Interactive Narrative Design for Com...	[ 33935, 20913, 36318, 30943 ]	Validation
18,790	16	Title: TinySiamese Network for Biometric Analysis Abstract: Biometric recognition is the process of verifying or classifying human characteristics in images or videos. It is a complex task that requires machine learning algorithms, including convolutional neural networks (CNNs) and Siamese networks. Besides, there are ...	[]	Validation
18,791	30	Title: Boosting Few-Shot Text Classification via Distribution Estimation Abstract: Distribution estimation has been demonstrated as one of the most effective approaches in dealing with few-shot image classification, as the low-level patterns and underlying representations can be easily transferred across different task...	[ 20882, 30239 ]	Test
18,792	24	Title: Practical Contextual Bandits with Feedback Graphs Abstract: While contextual bandit has a mature theory, effectively leveraging different feedback patterns to enhance the pace of learning remains unclear. Bandits with feedback graphs, which interpolates between the full information and bandit regimes, provides a...	[ 5914 ]	Test
18,793	26	Title: Wiki-based Communities of Interest: Demographics and Outliers Abstract: In this paper, we release data about demographic information and outliers of communities of interest. Identified from Wiki-based sources, mainly Wikidata, the data covers 7.5k communities, e.g., members of the White House Coronavirus Task Fo...	[]	Test
18,794	27	Title: PRIEST: Projection Guided Sampling-Based Optimization For Autonomous Navigation Abstract: Efficient navigation in unknown and dynamic environments is crucial for expanding the application domain of mobile robots. The core challenge stems from the nonavailability of a feasible global path for guiding optimization...	[]	Validation
18,795	16	Title: READMem: Robust Embedding Association for a Diverse Memory in Unconstrained Video Object Segmentation Abstract: We present READMem (Robust Embedding Association for a Diverse Memory), a modular framework for semi-automatic video object segmentation (sVOS) methods designed to handle unconstrained videos. Contempo...	[]	Train
18,796	16	Title: Transferring Knowledge for Food Image Segmentation using Transformers and Convolutions Abstract: Food image segmentation is an important task that has ubiquitous applications, such as estimating the nutritional value of a plate of food. Although machine learning models have been used for segmentation in this dom...	[ 5374 ]	Train
18,797	3	Title: A design theory for transparency of information privacy practices Abstract: Public policy initiatives demand transparency of information privacy practices (TIPP) since the 1970s, at least, when a first version of the fair information practice principles (FIPP) was published. Decades later, information system (IS...	[]	Validation
18,798	24	Title: Restricted Generative Projection for One-Class Classification and Anomaly Detection Abstract: We present a simple framework for one-class classification and anomaly detection. The core idea is to learn a mapping to transform the unknown distribution of training (normal) data to a known target distribution. Cruci...	[]	Train
18,799	16	Title: A Minimax Approach Against Multi-Armed Adversarial Attacks Detection Abstract: Multi-armed adversarial attacks, in which multiple algorithms and objective loss functions are simultaneously used at evaluation time, have been shown to be highly successful in fooling state-of-the-art adversarial examples detectors ...	[]	Train
18,800	24	Title: Adaptive Negative Evidential Deep Learning for Open-set Semi-supervised Learning Abstract: Semi-supervised learning (SSL) methods assume that labeled data, unlabeled data and test data are from the same distribution. Open-set semi-supervised learning (Open-set SSL) considers a more practical scenario, where unla...	[ 16807 ]	Train
18,801	28	Title: Active RIS Aided Integrated Sensing and Communication Systems Abstract: This paper considers an active reconfigurable intelligent surface (RIS)-aided integrated sensing and communication (ISAC) system. We aim to maximize Radar signal-to-interference-plus-noise-ratio (SINR) by jointly optimizing the beamforming m...	[ 6122, 19514 ]	Train
18,802	28	Title: Effectiveness of Reconfigurable Intelligent Surfaces to Enhance Connectivity in UAV Networks Abstract: Reconfigurable intelligent surfaces (RISs) are expected to make future 6G networks more connected and resilient against node failures, due to their ability to introduce controllable phase-shifts onto impinging ...	[ 30580, 9174 ]	Test
18,803	6	Title: Improvement of attention in subjects diagnosed with hyperkinetic syndrome using BIOVIT Simulator Abstract: This study aimed to stimulate the brain's executive function through a series of tasks and rules based on dynamic perceptual stimuli using the Biotechnology Virtual Immersion Simulator (BIOVIT) and thus eva...	[]	Train
18,804	16	Title: A Method for Animating Children’s Drawings of the Human Figure Abstract: Children’s drawings have a wonderful inventiveness, creativity, and variety to them. We present a system that automatically animates children’s drawings of the human figure, is robust to the variance inherent in these depictions, and is sim...	[ 3326 ]	Train
18,805	16	Title: Exploring Effective Priors and Efficient Models for Weakly-Supervised Change Detection Abstract: Weakly-supervised change detection (WSCD) aims to detect pixel-level changes with only image-level annotations. Owing to its label efficiency, WSCD is drawing increasing attention recently. However, current WSCD meth...	[]	Train
18,806	30	Title: Shall We Pretrain Autoregressive Language Models with Retrieval? A Comprehensive Study Abstract: Large decoder-only language models (LMs) can be largely improved in terms of perplexity by retrieval (e.g., RETRO), but its impact on text generation quality and downstream task accuracy is unclear. Thus, it is still...	[ 34563, 33220, 10211, 38281, 41392, 7380 ]	Train
18,807	16	Title: DiffusionRig: Learning Personalized Priors for Facial Appearance Editing Abstract: We address the problem of learning person-specific facial priors from a small number (e.g., 20) of portrait photos of the same person. This enables us to edit this specific person's facial appearance, such as expression and lighti...	[ 39340, 7078 ]	Train
18,808	16	Title: Enhancing Multivariate Time Series Classifiers through Self-Attention and Relative Positioning Infusion Abstract: Time Series Classification (TSC) is an important and challenging task for many visual computing applications. Despite the extensive range of methods developed for TSC, relatively few utilized Deep Ne...	[]	Validation
18,809	25	Title: From West to East: Who can understand the music of the others better? Abstract: Recent developments in MIR have led to several benchmark deep learning models whose embeddings can be used for a variety of downstream tasks. At the same time, the vast majority of these models have been trained on Western pop/rock m...	[]	Train
18,810	16	Title: FlipNeRF: Flipped Reflection Rays for Few-shot Novel View Synthesis Abstract: Neural Radiance Field (NeRF) has been a mainstream in novel view synthesis with its remarkable quality of rendered images and simple architecture. Although NeRF has been developed in various directions improving continuously its perfor...	[ 33751 ]	Train
18,811	27	Title: Optimal Control of Connected Automated Vehicles with Event-Triggered Control Barrier Functions Abstract: We address the problem of controlling Connected and Automated Vehicles (CAVs) in conflict areas of a traffic network subject to hard safety constraints. It has been shown that such problems can be solved thro...	[]	Train
18,812	10	Title: A Reminder of its Brittleness: Language Reward Shaping May Hinder Learning for Instruction Following Agents Abstract: Teaching agents to follow complex written instructions has been an important yet elusive goal. One technique for enhancing learning efficiency is language reward shaping (LRS). Within a reinforce...	[ 10624, 5361, 35292, 26527 ]	Train
18,813	24	Title: Federated Learning over a Wireless Network: Distributed User Selection through Random Access Abstract: User selection has become crucial for decreasing the communication costs of federated learning (FL) over wireless networks. However, centralized user selection causes additional system complexity. This study pr...	[]	Train
18,814	3	Title: Automating privacy decisions -where to draw the line? Abstract: Users are often overwhelmed by privacy decisions to manage their personal data, which can happen on the web, in mobile, and in IoT environments. These decisions can take various forms -such as decisions for setting privacy permissions or privacy pre...	[]	Train
18,815	16	Title: Point2Tree(P2T) - framework for parameter tuning of semantic and instance segmentation used with mobile laser scanning data in coniferous forest Abstract: Inthis study, we introduce Point2Tree, a modular and versatile framework that employs a three-tiered methodology, inclusive of semantic segmentation, instance...	[]	Test
18,816	24	Title: Decentralized Online Bandit Optimization on Directed Graphs with Regret Bounds Abstract: We consider a decentralized multiplayer game, played over T rounds, with a leader-follower hi-erarchy described by a directed acyclic graph. For each round, the graph structure dictates the order of the players and how playe...	[]	Train
18,817	24	Title: Decoupled Training for Long-Tailed Classification With Stochastic Representations Abstract: Decoupling representation learning and classifier learning has been shown to be effective in classification with long-tailed data. There are two main ingredients in constructing a decoupled learning scheme; 1) how to trai...	[]	Train
18,818	27	Title: Tactile-Driven Gentle Grasping for Human-Robot Collaborative Tasks Abstract: This paper presents a control scheme for force sensitive, gentle grasping with a Pisa/IIT anthropomorphic SoftHand equipped with a miniaturised version of the TacTip optical tactile sensor on all five fingertips. The tactile sensors pro...	[]	Train
18,819	30	Title: BiasX: "Thinking Slow" in Toxic Content Moderation with Explanations of Implied Social Biases Abstract: Toxicity annotators and content moderators often default to mental shortcuts when making decisions. This can lead to subtle toxicity being missed, and seemingly toxic but harmless content being over-detected. ...	[ 3995, 25349 ]	Test
18,820	9	Title: Determinants vs. Algebraic Branching Programs Abstract: We show that for every homogeneous polynomial of degree $d$, if it has determinantal complexity at most $s$, then it can be computed by a homogeneous algebraic branching program (ABP) of size at most $O(d^5s)$. Moreover, we show that for $\textit{most}$ hom...	[]	Train
18,821	16	Title: Transformers in Action Recognition: A Review on Temporal Modeling Abstract: In vision-based action recognition, spatio-temporal features from different modalities are used for recognizing activities. Temporal modeling is a long challenge of action recognition. However, there are limited methods such as pre-compu...	[]	Test
18,822	10	Title: Beyond Conservatism: Diffusion Policies in Offline Multi-agent Reinforcement Learning Abstract: We present a novel Diffusion Offline Multi-agent Model (DOM2) for offline Multi-Agent Reinforcement Learning (MARL). Different from existing algorithms that rely mainly on conservatism in policy design, DOM2 enhances ...	[ 14730, 18044 ]	Train
18,823	16	Title: Rethinking interpretation: Input-agnostic saliency mapping of deep visual classifiers Abstract: Saliency methods provide post-hoc model interpretation by attributing input features to the model outputs. Current methods mainly achieve this using a single input sample, thereby failing to answer input-independent i...	[ 39442, 13788, 30725 ]	Test
18,824	24	Title: TIDo: Source-free Task Incremental Learning in Non-stationary Environments Abstract: This work presents an incremental learning approach for autonomous agents to learn new tasks in a non-stationary environment. Updating a DNN model-based agent to learn new target tasks requires us to store past training data and...	[]	Validation
18,825	30	Title: Argument Mining using BERT and Self-Attention based Embeddings Abstract: Argument mining automatically identifies and extracts the structure of inference and reasoning conveyed in natural language arguments. To the best of our knowledge, most of the state-of-the-art works in this field have focused on using tree...	[]	Train
18,826	27	Title: Hybrid Systems Neural Control with Region-of-Attraction Planner Abstract: Hybrid systems are prevalent in robotics. However, ensuring the stability of hybrid systems is challenging due to sophisticated continuous and discrete dynamics. A system with all its system modes stable can still be unstable. Hence specia...	[]	Validation
18,827	5	Title: Privacy-Aware Load Balancing in Fog Networks: A Reinforcement Learning Approach Abstract: In this paper, we propose a load balancing algorithm based on Reinforcement Learning (RL) to optimize the performance of Fog Computing for real-time IoT applications. The algorithm aims to minimize the waiting delay of IoT ...	[]	Test
18,828	16	Title: Learning with Multi-modal Gradient Attention for Explainable Composed Image Retrieval Abstract: We consider the problem of composed image retrieval that takes an input query consisting of an image and a modification text indicating the desired changes to be made on the image and retrieves images that match these...	[]	Train
18,829	28	Title: Dynamic Frozen-Function Design for Reed-Muller Codes With Automorphism-Based Decoding Abstract: In this letter, we propose to add dynamic frozen bits to underlying polar codes with a Reed-Muller information set with the aim of maintaining the same sub-decoding structure in Automorphism Ensemble (AE) and lowering...	[ 31964 ]	Train
18,830	7	Title: MDVSC - Wireless Model Division Video Semantic Communication Abstract: This paper introduces a novel method for transmitting video data over noisy wireless channels with high efficiency and controllability. The method derivates from model division multiple access (MDMA) to extract common semantic features from v...	[ 7242 ]	Train
18,831	24	Title: Towards Practical Preferential Bayesian Optimization with Skew Gaussian Processes Abstract: We study preferential Bayesian optimization (BO) where reliable feedback is limited to pairwise comparison called duels. An important challenge in preferential BO, which uses the preferential Gaussian process (GP) model t...	[]	Test
18,832	16	Title: Breast Cancer Detection and Diagnosis: A comparative study of state-of-the-arts deep learning architectures Abstract: Breast cancer is a prevalent form of cancer among women, with over 1.5 million women being diagnosed each year. Unfortunately, the survival rates for breast cancer patients in certain third-world...	[]	Train
18,833	31	Title: Recommendation Unlearning via Influence Function Abstract: Recommendation unlearning is an emerging task to serve users for erasing unusable data (e.g., some historical behaviors) from a well-trained recommender model. Existing methods process unlearning requests by fully or partially retraining the model after ...	[ 16943, 16179, 30040, 28283, 4764, 9917 ]	Train
18,834	37	Title: Benchmarking Specialized Databases for High-frequency Data Abstract: ,	[]	Train
18,835	24	Title: Free Bits: Latency Optimization of Mixed-Precision Quantized Neural Networks on the Edge Abstract: Mixed-precision quantization, where a deep neural network’s layers are quantized to different precisions, offers the opportunity to optimize the trade-offs between model size, latency, and statistical accuracy beyo...	[]	Test
18,836	20	Title: Effective data reduction algorithm for topological data analysis Abstract: One of the most interesting tools that have recently entered the data science toolbox is topological data analysis (TDA). With the explosion of available data sizes and dimensions, identifying and extracting the underlying structure of a ...	[]	Train
18,837	10	Title: An xAI Approach for Data-to-Text Processing with ASP Abstract: The generation of natural language text from data series gained renewed interest among AI research goals. Not surprisingly, the few proposals in the state of the art are based on training some system, in order to produce a text that describes and tha...	[]	Test
18,838	30	Title: AfriQA: Cross-lingual Open-Retrieval Question Answering for African Languages Abstract: African languages have far less in-language content available digitally, making it challenging for question answering systems to satisfy the information needs of users. Cross-lingual open-retrieval question answering (XOR QA)...	[ 5717 ]	Train
18,839	33	Title: Commuting upper triangular binary morphisms Abstract: A morphism $g$ from the free monoid $X^*$ into itself is called upper triangular if the matrix of $g$ is upper triangular. We characterize all upper triangular binary morphisms $g_1$ and $g_2$ such that $g_1g_2=g_2g_1$.	[]	Train
18,840	5	Title: λFS: A Scalable and Elastic Distributed File System Metadata Service using Serverless Functions Abstract: The metadata service (MDS) sits on the critical path for distributed file system (DFS) operations, and therefore it is key to the overall performance of a large-scale DFS. Common"serverful"MDS architectures,...	[]	Train
18,841	16	Title: Guided Hybrid Quantization for Object Detection in Remote Sensing Imagery via One-to-One Self-Teaching Abstract: Deep convolutional neural networks (CNNs) have improved remote sensing image analysis, but their high computational demands may limit their deployment on low-end devices with limited resources, such a...	[]	Train
18,842	16	Title: Boosting Semantic Segmentation from the Perspective of Explicit Class Embeddings Abstract: Semantic segmentation is a computer vision task that associates a label with each pixel in an image. Modern approaches tend to introduce class embeddings into semantic segmentation for deeply utilizing category semantics, ...	[]	Validation
18,843	13	Title: Hyperdimensional Computing with Spiking-Phasor Neurons Abstract: A Vector Symbolic Architecture (VSA) is a powerful framework for representing compositional reasoning. It can be used to create neural networks that perform cognitive functions, like spatial reasoning, arithmetic, symbol binding, and logic. But the...	[ 636 ]	Train
18,844	16	Title: Multi-Task Cross-Modality Attention-Fusion for 2D Object Detection Abstract: Accurate and robust object detection is critical for autonomous driving. Image-based detectors face difficulties caused by low visibility in adverse weather conditions. Thus, radar-camera fusion is of particular interest but presents ch...	[]	Train
18,845	16	Title: FaceChain: A Playground for Identity-Preserving Portrait Generation Abstract: Recent advancement in personalized image generation have unveiled the intriguing capability of pre-trained text-to-image models on learning identity information from a collection of portrait images. However, existing solutions can be v...	[ 18205 ]	Train
18,846	25	Title: MIDI-Draw: Sketching to Control Melody Generation Abstract: We describe a proof-of-principle implementation of a system for drawing melodies that abstracts away from a note-level input representation via melodic contours. The aim is to allow users to express their musical intentions without requiring prior knowl...	[ 14671 ]	Train
18,847	24	Title: A parameterised model for link prediction using node centrality and similarity measure based on graph embedding Abstract: Link prediction is a key aspect of graph machine learning, with applications as diverse as disease prediction, social network recommendations, and drug discovery. It involves predicting new l...	[]	Validation
18,848	16	Title: ArtHDR-Net: Perceptually Realistic and Accurate HDR Content Creation Abstract: High Dynamic Range (HDR) content creation has become an important topic for modern media and entertainment sectors, gaming and Augmented/Virtual Reality industries. Many methods have been proposed to recreate the HDR counterparts of i...	[ 20856 ]	Train
18,849	24	Title: Lingo3DMol: Generation of a Pocket-based 3D Molecule using a Language Model Abstract: Structure-based drug design powered by deep generative models have attracted increasing research interest in recent years. Language models have demonstrated a robust capacity for generating valid molecules in 2D structures, whi...	[]	Train
18,850	16	Title: Adaptive Face Recognition Using Adversarial Information Network Abstract: In many real-world applications, face recognition models often degenerate when training data (referred to as source domain) are different from testing data (referred to as target domain). To alleviate this mismatch caused by some factors l...	[]	Train
18,851	30	Title: Evaluating Open-Domain Dialogues in Latent Space with Next Sentence Prediction and Mutual Information Abstract: The long-standing one-to-many issue of the open-domain dialogues poses significant challenges for automatic evaluation methods, i.e., there may be multiple suitable responses which differ in semantics ...	[]	Test
18,852	10	Title: Knowledge Graph Reasoning over Entities and Numerical Values Abstract: A complex logic query in a knowledge graph refers to a query expressed in logic form that conveys a complex meaning, such as where did the Canadian Turing award winner graduate from? Knowledge graph reasoning-based applications, such as dialo...	[ 41368, 16049, 7818, 33892 ]	Train
18,853	36	Title: On the Price of Transparency: A Comparison between Overt Persuasion and Covert Signaling Abstract: Transparency of information disclosure has always been considered an instrumental component of effective governance, accountability, and ethical behavior in any organization or system. However, a natural question f...	[ 20057, 10282, 36251, 31293 ]	Test
18,854	24	Title: Convolutional unitary or orthogonal recurrent neural networks Abstract: Recurrent neural networks are extremely powerful yet hard to train. One of their issues is the vanishing gradient problem, whereby propagation of training signals may be exponentially attenuated, freezing training. Use of orthogonal or unita...	[]	Train
18,855	16	Title: GADER: GAit DEtection and Recognition in the Wild Abstract: Gait recognition holds the promise of robustly identifying subjects based on their walking patterns instead of color information. While previous approaches have performed well for curated indoor scenes, they have significantly impeded applicability in u...	[]	Test
18,856	16	Title: Image-based Geolocalization by Ground-to-2.5D Map Matching Abstract: We study the image-based geolocalization problem that aims to locate ground-view query images on cartographic maps. Previous methods often utilize cross-view localization techniques to match ground-view query images with 2D maps. However, the p...	[]	Validation
18,857	16	Title: HR-Pro: Point-supervised Temporal Action Localization via Hierarchical Reliability Propagation Abstract: Point-supervised Temporal Action Localization (PSTAL) is an emerging research direction for label-efficient learning. However, current methods mainly focus on optimizing the network either at the snippet-leve...	[]	Train
18,858	30	Title: Qualifying Chinese Medical Licensing Examination with Knowledge Enhanced Generative Pre-training Model Abstract: Generative Pre-Training (GPT) models like ChatGPT have demonstrated exceptional performance in various Natural Language Processing (NLP) tasks. Although ChatGPT has been integrated into the overall wo...	[ 12128, 13700, 15301, 27161, 44272, 13239, 24756, 16471, 1273 ]	Train
18,859	8	Title: Operationalizing AI in Future Networks: A Bird's Eye View from the System Perspective Abstract: Modern Artificial Intelligence (AI) technologies, led by Machine Learning (ML), have gained unprecedented momentum over the past decade. Following this wave of ``AI summer", the network research community has also emb...	[]	Train
18,860	37	Title: Enhancing In-Memory Spatial Indexing with Learned Search Abstract: Spatial data is ubiquitous. Massive amounts of data are generated every day from a plethora of sources such as billions of GPS-enabled devices (e.g., cell phones, cars, and sensors), consumer-based applications (e.g., Uber and Strava), and social...	[ 16097 ]	Train
18,861	31	Title: Multi-Task Knowledge Enhancement for Zero-Shot and Multi-Domain Recommendation in an AI Assistant Application Abstract: Recommender systems have found significant commercial success but still struggle with integrating new users. Since users often interact with content in different domains, it is possible to leve...	[]	Validation
18,862	39	Title: Generalized ARRIVAL Problem for Rotor Walks in Path Multigraphs Abstract: Rotor walks are cellular automata that determine deterministic traversals of particles in a directed multigraph using simple local rules, yet they can generate complex behaviors. Furthermore, these trajectories exhibit statistical properti...	[]	Test
18,863	28	Title: RIS-Aided Spatial Scattering Modulation for mmWave MIMO Transmissions Abstract: This paper investigates the reconfigurable intelligent surface (RIS) assisted spatial scattering modulation (SSM) scheme for millimeter-wave (mmWave) multiple-input multiple-output (MIMO) systems, in which line-of-sight (LoS) and non...	[ 33223 ]	Validation
18,864	4	Title: UNDERSTANDING RUG PULLS: AN IN-DEPTH BEHAVIORAL ANALYSIS OF FRAUDULENT NFT CREATORS Abstract: The explosive growth of non-fungible tokens (NFTs) on Web3 has created a new frontier for digital art and collectibles and an emerging space for fraudulent activities. This study provides an in-depth analysis of NFT rug...	[ 21562 ]	Validation
18,865	27	Title: Learning to Grasp Clothing Structural Regions for Garment Manipulation Tasks Abstract: When performing cloth-related tasks, such as garment hanging, it is often important to identify and grasp certain structural regions -- a shirt's collar as opposed to its sleeve, for instance. However, due to cloth deformabili...	[]	Train
18,866	10	Title: Attention! Dynamic Epistemic Logic Models of (In)attentive Agents Abstract: Attention is the crucial cognitive ability that limits and selects what information we observe. Previous work by Bolander et al. (2016) proposes a model of attention based on dynamic epistemic logic (DEL) where agents are either fully at...	[]	Test
18,867	16	Title: Shatter and Gather: Learning Referring Image Segmentation with Text Supervision Abstract: Referring image segmentation, the task of segmenting any arbitrary entities described in free-form texts, opens up a variety of vision applications. However, manual labeling of training data for this task is prohibitively c...	[]	Validation
18,868	24	Title: FaFCNN: A General Disease Classification Framework Based on Feature Fusion Neural Networks Abstract: There are two fundamental problems in applying deep learning/machine learning methods to disease classification tasks, one is the insufficient number and poor quality of training samples; another one is how to ef...	[]	Test
18,869	22	Title: Functional Programming and Streams Abstract: This document is intended as a stand-alone textbook chapter to be used for introducing some functional programming concepts into a course in which the primary teaching language is Java. For details of the approach, please see the paper"Functional programming, in the d...	[]	Test
18,870	24	Title: Tensor-Compressed Back-Propagation-Free Training for (Physics-Informed) Neural Networks Abstract: Backward propagation (BP) is widely used to compute the gradients in neural network training. However, it is hard to implement BP on edge devices due to the lack of hardware and software resources to support automat...	[ 40196, 19476 ]	Train
18,871	24	Title: Beating Backdoor Attack at Its Own Game Abstract: Deep neural networks (DNNs) are vulnerable to backdoor attack, which does not affect the network's performance on clean data but would manipulate the network behavior once a trigger pattern is added. Existing defense methods have greatly reduced attack success ra...	[]	Validation
18,872	3	Title: A Study of China's Censorship and Its Evasion Through the Lens of Online Gaming Abstract: For the past 20 years, China has increasingly restricted the access of minors to online games using addiction prevention systems (APSes). At the same time, and through different means, i.e., the Great Firewall of China (GFW...	[]	Train
18,873	13	Title: EvoAAA: An evolutionary methodology for automated neural autoencoder architecture search Abstract: Machine learning models work better when curated features are provided to them. Feature engineering methods have been usually used as a preprocessing step to obtain or build a proper feature set. In late years, aut...	[]	Train
18,874	16	Title: Hierarchical Discriminative Learning Improves Visual Representations of Biomedical Microscopy Abstract: Learning high-quality, self-supervised, visual representations is essential to advance the role of computer vision in biomedical microscopy and clinical medicine. Previous work has focused on self-supervised r...	[ 15257 ]	Train
18,875	8	Title: Twinning Commercial Radio Waveforms in the Colosseum Wireless Network Emulator Abstract: Because of the ever-growing amount of wireless consumers, spectrum-sharing techniques have been increasingly common in the wireless ecosystem, with the main goal of avoiding harmful interference to coexisting communication s...	[ 40429 ]	Train
18,876	17	Title: Dr. KID: Direct Remeshing and K-set Isometric Decomposition for Scalable Physicalization of Organic Shapes Abstract: Dr. KID is an algorithm that uses isometric decomposition for the physicalization of potato-shaped organic models in a puzzle fashion. The algorithm begins with creating a simple, regular triangul...	[]	Validation
18,877	11	Title: Boosting Value Decomposition via Unit-Wise Attentive State Representation for Cooperative Multi-Agent Reinforcement Learning Abstract: In cooperative multi-agent reinforcement learning (MARL), the environmental stochasticity and uncertainties will increase exponentially when the number of agents increases, which...	[]	Validation

Subsets and Splits

No community queries yet

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