node_id int64 0 76.9k | label int64 0 39 | text stringlengths 13 124k | neighbors listlengths 0 3.32k | mask stringclasses 4
values |
|---|---|---|---|---|
18,278 | 24 | Title: Neural Graph Revealers
Abstract: Sparse graph recovery methods work well where the data follows their assumptions but often they are not designed for doing downstream probabilistic queries. This limits their adoption to only identifying connections among the input variables. On the other hand, the Probabilistic ... | [
25364,
26829
] | Train |
18,279 | 16 | Title: Debiased Mapping for Full-Reference Image Quality Assessment
Abstract: Mapping images to deep feature space for comparisons has been wildly adopted in recent learning-based full-reference image quality assessment (FR-IQA) models. Analogous to the classical classification task, the ideal mapping space for quality... | [] | Test |
18,280 | 16 | Title: CLIPN for Zero-Shot OOD Detection: Teaching CLIP to Say No
Abstract: Out-of-distribution (OOD) detection refers to training the model on an in-distribution (ID) dataset to classify whether the input images come from unknown classes. Considerable effort has been invested in designing various OOD detection methods... | [
40714
] | Train |
18,281 | 31 | Title: Graph-based Recommendation for Sparse and Heterogeneous User Interactions
Abstract: Recommender system research has oftentimes focused on approaches that operate on large-scale datasets containing millions of user interactions. However, many small businesses struggle to apply state-of-the-art models due to their... | [] | Test |
18,282 | 23 | Title: Scene-Driven Exploration and GUI Modeling for Android Apps
Abstract: Due to the competitive environment, mobile apps are usually produced under pressure with lots of complicated functionality and UI pages. Therefore, it is challenging for various roles to design, understand, test, and maintain these apps. The ex... | [
22358
] | Train |
18,283 | 16 | Title: Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting
Abstract: We introduce Argoverse 2 (AV2) - a collection of three datasets for perception and forecasting research in the self-driving domain. The annotated Sensor Dataset contains 1,000 sequences of multimodal data, encompassing hi... | [
2562,
13827,
21381,
44295,
17160,
26891,
31756,
18190,
9743,
41488,
5141,
39445,
13596,
35740,
45087,
8610,
12581,
4136,
26796,
22702,
31791,
23089,
1972,
19638,
10297,
23353,
22585,
21056,
7361,
15429,
37832,
6479,
15184,
24528,
9938,
45267,
2... | Validation |
18,284 | 16 | Title: Deficiency-Aware Masked Transformer for Video Inpainting
Abstract: Recent video inpainting methods have made remarkable progress by utilizing explicit guidance, such as optical flow, to propagate cross-frame pixels. However, there are cases where cross-frame recurrence of the masked video is not available, resul... | [
17633,
23524,
14168,
42747,
9981
] | Validation |
18,285 | 7 | Title: Automatic Historical Stock Price Dataset Generation Using Python
Abstract: With the dynamic political and economic environments, the ever-changing stock markets generate large amounts of data daily. Acquiring up-to-date data is crucial to enhancing predictive precision in stock price behavior studies. However, p... | [] | Train |
18,286 | 23 | Title: Software engineering for mobile applications, a survey on challenges and solutions
Abstract: Mobile app development has become the front line in software engineering. With the recent years many smartphone platforms have grew including but not limited to webOS, blackberry os, Tizen, android, and iOS. The coexiste... | [] | Train |
18,287 | 24 | Title: From Hypergraph Energy Functions to Hypergraph Neural Networks
Abstract: Hypergraphs are a powerful abstraction for representing higher-order interactions between entities of interest. To exploit these relationships in making downstream predictions, a variety of hypergraph neural network architectures have recen... | [] | Train |
18,288 | 23 | Title: Blockchain for smart cities improvement: an architecture proposal
Abstract: The combination between innovative topics and emerging technologies lets researchers define new processes and models. New needs regard the definition of modular and scalable approaches, with society and environment in mind. An important ... | [
14030
] | Train |
18,289 | 16 | Title: SIMF: Semantics-aware Interactive Motion Forecasting for Autonomous Driving
Abstract: Autonomous vehicles require motion forecasting of their surrounding multi-agents (pedestrians and vehicles) to make optimal decisions for navigation. The existing methods focus on techniques to utilize the positions and velocit... | [
18680
] | Test |
18,290 | 4 | Title: MDENet: Multi-modal Dual-embedding Networks for Malware Open-set Recognition
Abstract: Malware open-set recognition (MOSR) aims at jointly classifying malware samples from known families and detect the ones from novel unknown families, respectively. Existing works mostly rely on a well-trained classifier conside... | [
511,
4910,
3920,
38707,
36063
] | Train |
18,291 | 34 | Title: Computing complexity measures of degenerate graphs
Abstract: We show that the VC-dimension of a graph can be computed in time $n^{\log d+1} d^{O(d)}$, where $d$ is the degeneracy of the input graph. The core idea of our algorithm is a data structure to efficiently query the number of vertices that see a specific... | [] | Train |
18,292 | 24 | Title: Event Abstraction for Enterprise Collaboration Systems to Support Social Process Mining
Abstract: One aim of Process Mining (PM) is the discovery of process models from event logs of information systems. PM has been successfully applied to process-oriented enterprise systems but is less suited for communication-... | [] | Validation |
18,293 | 30 | Title: Unsupervised Mandarin-Cantonese Machine Translation
Abstract: Advancements in unsupervised machine translation have enabled the development of machine translation systems that can translate between languages for which there is not an abundance of parallel data available. We explored unsupervised machine translat... | [] | Test |
18,294 | 30 | Title: Financial Numeric Extreme Labelling: A Dataset and Benchmarking for XBRL Tagging
Abstract: The U.S. Securities and Exchange Commission (SEC) mandates all public companies to file periodic financial statements that should contain numerals annotated with a particular label from a taxonomy. In this paper, we formul... | [
36497
] | Validation |
18,295 | 16 | Title: RXFOOD: Plug-in RGB-X Fusion for Object of Interest Detection
Abstract: The emergence of different sensors (Near-Infrared, Depth, etc.) is a remedy for the limited application scenarios of traditional RGB camera. The RGB-X tasks, which rely on RGB input and another type of data input to resolve specific problems... | [
2501
] | Train |
18,296 | 3 | Title: That's All Folks: a KG of Values as Commonsense Social Norms and Behaviors
Abstract: Values, as intended in ethics, determine the shape and validity of moral and social norms, grounding our everyday individual and community behavior on commonsense knowledge. Formalising latent moral content in human interaction ... | [] | Validation |
18,297 | 24 | Title: Hierarchical Transformer for Scalable Graph Learning
Abstract: Graph Transformer is gaining increasing attention in the field of machine learning and has demonstrated state-of-the-art performance on benchmarks for graph representation learning. However, as current implementations of Graph Transformer primarily f... | [
44836,
32301
] | Validation |
18,298 | 16 | Title: Analysis of Recent Trends in Face Recognition Systems
Abstract: With the tremendous advancements in face recognition technology, face modality has been widely recognized as a significant biometric identifier in establishing a person's identity rather than any other biometric trait like fingerprints that require ... | [
12009
] | Validation |
18,299 | 24 | Title: An Efficient Hierarchical Kriging Modeling Method for High-dimension Multi-fidelity Problems
Abstract: : Multi-fidelity Kriging model is a promising technique in surrogate-based design as it can balance the model accuracy and cost of sample preparation by fusing low- and high-fidelity data. However, the cost for... | [] | Train |
18,300 | 16 | Title: Learning Unbiased Image Segmentation: A Case Study with Plain Knee Radiographs
Abstract: Automatic segmentation of knee bony anatomy is essential in orthopedics, and it has been around for several years in both pre-operative and post-operative settings. While deep learning algorithms have demonstrated exceptiona... | [] | Train |
18,301 | 24 | Title: Pipe-BD: Pipelined Parallel Blockwise Distillation
Abstract: Training large deep neural network models is highly challenging due to their tremendous computational and mem-ory requirements. Blockwise distillation provides one promising method towards faster convergence by splitting a large model into multiple sma... | [] | Test |
18,302 | 16 | Title: A Comparative Neural Radiance Field (NeRF) 3D Analysis of Camera Poses from HoloLens Trajectories and Structure from Motion
Abstract: Abstract. Neural Radiance Fields (NeRFs) are trained using a set of camera poses and associated images as input to estimate density and color values for each position. The positio... | [
36580
] | Train |
18,303 | 27 | Title: Learning Augmented, Multi-Robot Long-Horizon Navigation in Partially Mapped Environments
Abstract: We present a novel approach for efficient and reliable goal-directed long-horizon navigation for a multi-robot team in a structured, unknown environment by predicting statistics of unknown space. Building on recent... | [] | Validation |
18,304 | 28 | Title: Communication and Storage Efficient Federated Split Learning
Abstract: Federated learning (FL) is a popular distributed machine learning (ML) paradigm, but is often limited by significant communication costs and edge device computation capabilities. Federated Split Learning (FSL) preserves the parallel model tra... | [
30925
] | Train |
18,305 | 27 | Title: Towards Practical Multi-Robot Hybrid Tasks Allocation for Autonomous Cleaning
Abstract: Task allocation plays a vital role in multi-robot autonomous cleaning systems, where multiple robots work together to clean a large area. However, most current studies mainly focus on deterministic, single-task allocation for... | [] | Train |
18,306 | 23 | Title: Learning Performance-Improving Code Edits
Abstract: The waning of Moore's Law has shifted the focus of the tech industry towards alternative methods for continued performance gains. While optimizing compilers are a standard tool to help increase program efficiency, programmers continue to shoulder much responsib... | [
34208,
43714,
16166,
11305,
22578,
11190,
16855,
22749,
36121,
28886,
17789
] | Train |
18,307 | 16 | Title: DiM: Distilling Dataset into Generative Model
Abstract: Dataset distillation reduces the network training cost by synthesizing small and informative datasets from large-scale ones. Despite the success of the recent dataset distillation algorithms, three drawbacks still limit their wider application: i). the synt... | [
25417,
1867,
17406
] | Test |
18,308 | 30 | Title: Enhancing Large Language Model Induced Task-Oriented Dialogue Systems Through Look-Forward Motivated Goals
Abstract: Recently, the development of large language models (LLMs) has been significantly enhanced the question answering and dialogue generation, and makes them become increasingly popular in current prac... | [
23681,
17386,
21966,
43599,
22936
] | Train |
18,309 | 10 | Title: Utilizing Mood-Inducing Background Music in Human-Robot Interaction
Abstract: Past research has clearly established that music can affect mood and that mood affects emotional and cognitive processing, and thus decision-making. It follows that if a robot interacting with a person needs to predict the person's beh... | [] | Train |
18,310 | 8 | Title: Countering Eavesdroppers with Meta-learning-based Cooperative Ambient Backscatter Communications
Abstract: This article introduces a novel lightweight framework using ambient backscattering communications to counter eavesdroppers. In particular, our framework divides an original message into two parts: (i) the a... | [] | Train |
18,311 | 24 | Title: Differentially Private Heavy Hitter Detection using Federated Analytics
Abstract: In this work, we study practical heuristics to improve the performance of prefix-tree based algorithms for differentially private heavy hitter detection. Our model assumes each user has multiple data points and the goal is to learn... | [
35704
] | Validation |
18,312 | 24 | Title: Explainable Data-Driven Optimization: From Context to Decision and Back Again
Abstract: Data-driven optimization uses contextual information and machine learning algorithms to find solutions to decision problems with uncertain parameters. While a vast body of work is dedicated to interpreting machine learning mo... | [] | Train |
18,313 | 23 | Title: Design Patterns for AI-based Systems: A Multivocal Literature Review and Pattern Repository
Abstract: Systems with artificial intelligence components, so-called AI-based systems, have gained considerable attention recently. However, many organizations have issues with achieving production readiness with such sys... | [] | Test |
18,314 | 16 | Title: Analysing Gender Bias in Text-to-Image Models using Object Detection
Abstract: This work presents a novel strategy to measure bias in text-to-image models. Using paired prompts that specify gender and vaguely reference an object (e.g."a man/woman holding an item") we can examine whether certain objects are assoc... | [
31868,
16284,
37916,
12951
] | Train |
18,315 | 5 | Title: Autovesk: Automatic vectorized code generation from unstructured static kernels using graph transformations
Abstract: Leveraging the SIMD capability of modern CPU architectures is mandatory to take full benefit of their increasing performance. To exploit this feature, binary executables must be explicitly vector... | [] | Train |
18,316 | 25 | Title: A Two-Stage Training Framework for Joint Speech Compression and Enhancement
Abstract: This paper considers the joint compression and enhancement problem for speech signal in the presence of noise. Recently, the SoundStream codec, which relies on end-to-end joint training of an encoder-decoder pair and a residual... | [] | Train |
18,317 | 24 | Title: Asymptotically Optimal Pure Exploration for Infinite-Armed Bandits
Abstract: We study pure exploration with infinitely many bandit arms generated i.i.d. from an unknown distribution. Our goal is to efficiently select a single high quality arm whose average reward is, with probability $1-\delta$, within $\varepsi... | [] | Train |
18,318 | 16 | Title: EgoAdapt: A multi-stream evaluation study of adaptation to real-world egocentric user video
Abstract: In egocentric action recognition a single population model is typically trained and subsequently embodied on a head-mounted device, such as an augmented reality headset. While this model remains static for new u... | [
8854
] | Validation |
18,319 | 27 | Title: Safe and Scalable Real-Time Trajectory Planning Framework for Urban Air Mobility
Abstract: This paper presents a real-time trajectory planning framework for Urban Air Mobility (UAM) that is both safe and scalable. The proposed framework employs a decentralized, free-flight concept of operation in which each airc... | [
4341
] | Train |
18,320 | 24 | Title: Optimal Fair Multi-Agent Bandits
Abstract: In this paper, we study the problem of fair multi-agent multi-arm bandit learning when agents do not communicate with each other, except collision information, provided to agents accessing the same arm simultaneously. We provide an algorithm with regret $O\left(N^3 \log... | [] | Train |
18,321 | 4 | Title: PolyScope: Multi-Policy Access Control Analysis to Triage Android Scoped Storage
Abstract: Android's filesystem access control is a crucial aspect of its system integrity. It utilizes a combination of mandatory access controls, such as SELinux, and discretionary access controls, like Unix permissions, along with... | [] | Train |
18,322 | 27 | Title: Legal Decision-making for Highway Automated Driving
Abstract: Compliance with traffic laws is a fundamental requirement for human drivers on the road, and autonomous vehicles must adhere to traffic laws as well. However, current autonomous vehicles prioritize safety and collision avoidance primarily in their dec... | [] | Train |
18,323 | 34 | Title: Growing Fast without Colliding: Polylogarithmic Time Step Construction of Geometric Shapes
Abstract: Building on two recent models of [Almalki and Michail, 2022] and [Gupta et al., 2023], we explore the constructive power of a set of geometric growth processes. The studied processes, by applying a sequence of ce... | [
33786
] | Train |
18,324 | 30 | Title: NollySenti: Leveraging Transfer Learning and Machine Translation for Nigerian Movie Sentiment Classification
Abstract: Africa has over 2000 indigenous languages but they are under-represented in NLP research due to lack of datasets. In recent years, there have been progress in developing labelled corpora for Afr... | [
20226,
23615
] | Validation |
18,325 | 27 | Title: Regulated pure pursuit for robot path tracking
Abstract: nan | [
14495
] | Validation |
18,326 | 16 | Title: T-MARS: Improving Visual Representations by Circumventing Text Feature Learning
Abstract: Large web-sourced multimodal datasets have powered a slew of new methods for learning general-purpose visual representations, advancing the state of the art in computer vision and revolutionizing zero- and few-shot recognit... | [
10908,
1581
] | Train |
18,327 | 16 | Title: Semi-Parametric Video-Grounded Text Generation
Abstract: Efficient video-language modeling should consider the computational cost because of a large, sometimes intractable, number of video frames. Parametric approaches such as the attention mechanism may not be ideal since its computational cost quadratically in... | [
3076
] | Train |
18,328 | 30 | Title: A Tale of Two Laws of Semantic Change: Predicting Synonym Changes with Distributional Semantic Models
Abstract: Lexical Semantic Change is the study of how the meaning of words evolves through time. Another related question is whether and how lexical relations over pairs of words, such as synonymy, change over t... | [] | Train |
18,329 | 16 | Title: Layer-adaptive Structured Pruning Guided by Latency
Abstract: Structured pruning can simplify network architecture and improve inference speed. Combined with the underlying hardware and inference engine in which the final model is deployed, better results can be obtained by using latency collaborative loss funct... | [] | Train |
18,330 | 6 | Title: Co-Design with Myself: A Brain-Computer Interface Design Tool that Predicts Live Emotion to Enhance Metacognitive Monitoring of Designers
Abstract: Modulating the feelings of confidence toward design options and metacognitive monitoring are important components of design intuition. We find not many creativity su... | [
27343
] | Validation |
18,331 | 24 | Title: Pre-train and Search: Efficient Embedding Table Sharding with Pre-trained Neural Cost Models
Abstract: Sharding a large machine learning model across multiple devices to balance the costs is important in distributed training. This is challenging because partitioning is NP-hard, and estimating the costs accuratel... | [
13700,
7057,
12563,
7796,
7351,
27804
] | Validation |
18,332 | 22 | Title: A Deductive Verification Infrastructure for Probabilistic Programs
Abstract: This paper presents a quantitative program verification infrastructure for discrete probabilistic programs. Our infrastructure can be viewed as the probabilistic analogue of Boogie: its central components are an intermediate verificatio... | [] | Train |
18,333 | 2 | Title: Preliminary investigations on induction over real numbers
Abstract: The induction principle for natural numbers expresses that when a property holds for some natural number a and is hereditary, then it holds for all numbers greater than or equal to a. We present a similar principle for real numbers. | [] | Test |
18,334 | 7 | Title: Neural Networks vs. Splines: Advances in Numerical Extruder Design
Abstract: In this paper, we present a novel approach to geometry parameterization that we apply to the design of mixing elements for single-screw extruders. The approach uses neural networks of a specific architecture to automatically learn an ap... | [] | Train |
18,335 | 16 | Title: Bi-LRFusion: Bi-Directional LiDAR-Radar Fusion for 3D Dynamic Object Detection
Abstract: LiDAR and Radar are two complementary sensing approaches in that LiDAR specializes in capturing an object's 3D shape while Radar provides longer detection ranges as well as velocity hints. Though seemingly natural, how to ef... | [
40403
] | Train |
18,336 | 10 | Title: Combining Monte Carlo Tree Search and Heuristic Search for Weighted Vertex Coloring
Abstract: This work investigates the Monte Carlo Tree Search (MCTS) method combined with dedicated heuristics for solving the Weighted Vertex Coloring Problem. In addition to the basic MCTS algorithm, we study several MCTS varian... | [] | Train |
18,337 | 16 | Title: OccluMix: Towards De-Occlusion Virtual Try-on by Semantically-Guided Mixup
Abstract: Image Virtual try-on aims at replacing the cloth on a personal image with a garment image (in-shop clothes), which has attracted increasing attention from the multimedia and computer vision communities. Prior methods successfull... | [] | Validation |
18,338 | 24 | Title: Deep Learning based Forecasting: a case study from the online fashion industry
Abstract: Demand forecasting in the online fashion industry is particularly amendable to global, data-driven forecasting models because of the industry's set of particular challenges. These include the volume of data, the irregularity... | [] | Validation |
18,339 | 33 | Title: A Fast Algorithm for Computing Prefix Probabilities
Abstract: Multiple algorithms are known for efficiently calculating the prefix probability of a string under a probabilistic context-free grammar (PCFG). Good algorithms for the problem have a runtime cubic in the length of the input string. However, some propo... | [
14683
] | Validation |
18,340 | 16 | Title: Spatial-Aware Token for Weakly Supervised Object Localization
Abstract: Weakly supervised object localization (WSOL) is a challenging task aiming to localize objects with only image-level supervision. Recent works apply visual transformer to WSOL and achieve significant success by exploiting the long-range featu... | [] | Validation |
18,341 | 10 | Title: A Logic Programming Approach to Global Logistics in a Co-Design Environment
Abstract: In a co-design environment changes need to be integrated quickly and in an automated manner. This paper considers the challenge of creating and optimizing a global logistics system for the construction of a passenger aircraft w... | [] | Train |
18,342 | 16 | Title: NeuroCLIP: Neuromorphic Data Understanding by CLIP and SNN
Abstract: Recently, the neuromorphic vision sensor has received more and more interest. However, the neuromorphic data consists of asynchronous event spikes, which is not natural and difficult to construct a benchmark, thus limiting the neuromorphic data... | [
25384,
36842,
27662
] | Validation |
18,343 | 24 | Title: Score-based Data Assimilation
Abstract: Data assimilation, in its most comprehensive form, addresses the Bayesian inverse problem of identifying plausible state trajectories that explain noisy or incomplete observations of stochastic dynamical systems. Various approaches have been proposed to solve this problem,... | [
21152
] | Test |
18,344 | 30 | Title: FOLLOWUPQG: Towards Information-Seeking Follow-up Question Generation
Abstract: Humans ask follow-up questions driven by curiosity, which reflects a creative human cognitive process. We introduce the task of real-world information-seeking follow-up question generation (FQG), which aims to generate follow-up ques... | [] | Test |
18,345 | 6 | Title: MultiCaM-Vis: Visual Exploration of Multi-Classification Model with High Number of Classes
Abstract: Visual exploration of multi-classification models with large number of classes would help machine learning experts in identifying the root cause of a problem that occurs during learning phase such as miss-classif... | [] | Validation |
18,346 | 16 | Title: Test-Time Selection for Robust Skin Lesion Analysis
Abstract: Skin lesion analysis models are biased by artifacts placed during image acquisition, which influence model predictions despite carrying no clinical information. Solutions that address this problem by regularizing models to prevent learning those spuri... | [
15387
] | Train |
18,347 | 16 | Title: A Comprehensive Study on the Robustness of Image Classification and Object Detection in Remote Sensing: Surveying and Benchmarking
Abstract: Deep neural networks (DNNs) have found widespread applications in interpreting remote sensing (RS) imagery. However, it has been demonstrated in previous works that DNNs ar... | [
18433,
44201,
8586,
6987,
3694,
7312,
16757,
41237,
11130,
35323,
26623
] | Train |
18,348 | 26 | Title: DECOR: Degree-Corrected Social Graph Refinement for Fake News Detection
Abstract: Recent efforts in fake news detection have witnessed a surge of interest in using graph neural networks (GNNs) to exploit rich social context. Existing studies generally leverage fixed graph structures, assuming that the graphs acc... | [] | Test |
18,349 | 23 | Title: Practices and Challenges of Using GitHub Copilot: An Empirical Study
Abstract: With the advances in machine learning, there is a growing interest in AI-enabled tools for autocompleting source code. GitHub Copilot, also referred to as the"AI Pair Programmer", has been trained on billions of lines of open source G... | [
41537,
18601,
40436
] | Train |
18,350 | 28 | Title: Effective Continued Fraction Dimension versus Effective Hausdorff Dimension of Reals
Abstract: We establish that constructive continued fraction dimension originally defined using $s$-gales is robust, but surprisingly, that the effective continued fraction dimension and effective (base-$b$) Hausdorff dimension o... | [] | Train |
18,351 | 30 | Title: D2CSE: Difference-aware Deep continuous prompts for Contrastive Sentence Embeddings
Abstract: This paper describes Difference-aware Deep continuous prompt for Contrastive Sentence Embeddings (D2CSE) that learns sentence embeddings. Compared to state-of-the-art approaches, D2CSE computes sentence vectors that are... | [] | Validation |
18,352 | 16 | Title: A bioinspired three-stage model for camouflaged object detection
Abstract: Camouflaged objects are typically assimilated into their backgrounds and exhibit fuzzy boundaries. The complex environmental conditions and the high intrinsic similarity between camouflaged targets and their surroundings pose significant ... | [] | Train |
18,353 | 24 | Title: Autoencoders for a manifold learning problem with a Jacobian rank constraint
Abstract: We formulate the manifold learning problem as the problem of finding an operator that maps any point to a close neighbor that lies on a ``hidden'' $k$-dimensional manifold. We call this operator the correcting function. Under ... | [] | Validation |
18,354 | 30 | Title: Text Generation with Speech Synthesis for ASR Data Augmentation
Abstract: Aiming at reducing the reliance on expensive human annotations, data synthesis for Automatic Speech Recognition (ASR) has remained an active area of research. While prior work mainly focuses on synthetic speech generation for ASR data augm... | [] | Train |
18,355 | 8 | Title: AI-Assisted Slicing-Based Resource Management for Two-Tier Radio Access Networks
Abstract: While network slicing has become a prevalent approach to service differentiation, radio access network (RAN) slicing remains challenging due to the need of substantial adaptivity and flexibility to cope with the highly dyn... | [] | Test |
18,356 | 16 | Title: LEST: Large-scale LiDAR Semantic Segmentation with Transformer
Abstract: Large-scale LiDAR-based point cloud semantic segmentation is a critical task in autonomous driving perception. Almost all of the previous state-of-the-art LiDAR semantic segmentation methods are variants of sparse 3D convolution. Although t... | [] | Train |
18,357 | 16 | Title: Seamless Multimodal Biometrics for Continuous Personalised Wellbeing Monitoring
Abstract: Artificially intelligent perception is increasingly present in the lives of every one of us. Vehicles are no exception, (...) In the near future, pattern recognition will have an even stronger role in vehicles, as self-driv... | [] | Train |
18,358 | 10 | Title: KGS: Causal Discovery Using Knowledge-guided Greedy Equivalence Search
Abstract: Learning causal relationships solely from observational data provides insufficient information about the underlying causal mechanism and the search space of possible causal graphs. As a result, often the search space can grow expone... | [
19301
] | Train |
18,359 | 30 | Title: Do GPTs Produce Less Literal Translations?
Abstract: Large Language Models (LLMs) such as GPT-3 have emerged as general-purpose language models capable of addressing many natural language generation or understanding tasks. On the task of Machine Translation (MT), multiple works have investigated few-shot prompti... | [
20272,
32659
] | Validation |
18,360 | 24 | Title: Foundation Models in Smart Agriculture: Basics, Opportunities, and Challenges
Abstract: The past decade has witnessed the rapid development of ML and DL methodologies in agricultural systems, showcased by great successes in variety of agricultural applications. However, these conventional ML/DL models have certa... | [
10624,
13700,
37252,
4871,
30243,
18470,
43692,
8509,
35263,
575,
30402,
8387,
3782,
13510,
4822,
14168,
27866,
4827,
17633,
28389,
6124,
1141
] | Test |
18,361 | 25 | Title: Correlation Clustering of Bird Sounds
Abstract: Bird sound classification is the task of relating any sound recording to those species of bird that can be heard in the recording. Here, we study bird sound clustering, the task of deciding for any pair of sound recordings whether the same species of bird can be he... | [] | Train |
18,362 | 10 | Title: Web Crawler Strategies for Web Pages under Robot.txt Restriction
Abstract: In the present time, all know about World Wide Web and work over the Internet daily. In this paper, we introduce the search engines working for keywords that are entered by users to find something. The search engine uses different search ... | [] | Validation |
18,363 | 30 | Title: Sequentially Controlled Text Generation
Abstract: While GPT-2 generates sentences that are remarkably human-like, longer documents can ramble and do not follow human-like writing structure. We study the problem of imposing structure on long-range text. We propose a novel controlled text generation task, sequenti... | [
39325,
26423
] | Train |
18,364 | 6 | Title: The Effect of Structural Equation Modeling on Chatbot Usage: An Investigation of Dialogflow
Abstract: This study aims to understand users' perceptions of using the Dialogflow framework and verify the relationships among service awareness, task-technology fit, output quality, and TAM variables. Generalized Struct... | [] | Train |
18,365 | 24 | Title: Neural Network Reduction with Guided Regularizers
Abstract: Regularization techniques such as $\mathcal{L}_1$ and $\mathcal{L}_2$ regularizers are effective in sparsifying neural networks (NNs). However, to remove a certain neuron or channel in NNs, all weight elements related to that neuron or channel need to b... | [] | Train |
18,366 | 30 | Title: Unsupervised Scientific Abstract Segmentation with Normalized Mutual Information
Abstract: The abstracts of scientific papers consist of premises and conclusions. Structured abstracts explicitly highlight the conclusion sentences, whereas non-structured abstracts may have conclusion sentences at uncertain positi... | [] | Validation |
18,367 | 16 | Title: DS-Depth: Dynamic and Static Depth Estimation via a Fusion Cost Volume
Abstract: Self-supervised monocular depth estimation methods typically rely on the reprojection error to capture geometric relationships between successive frames in static environments. However, this assumption does not hold in dynamic objec... | [] | Train |
18,368 | 16 | Title: PromptMRG: Diagnosis-Driven Prompts for Medical Report Generation
Abstract: Automatic medical report generation (MRG) is of great research value as it has the potential to relieve radiologists from the heavy burden of report writing. Despite recent advancements, accurate MRG remains challenging due to the need f... | [
44384,
3105,
45710,
37496,
9403
] | Train |
18,369 | 16 | Title: Sparsifiner: Learning Sparse Instance-Dependent Attention for Efficient Vision Transformers
Abstract: Vision Transformers (ViT) have shown competitive advantages in terms of performance compared to convolutional neural networks (CNNs), though they often come with high computational costs. To this end, previous m... | [] | Train |
18,370 | 24 | Title: Fair and skill-diverse student group formation via constrained k-way graph partitioning
Abstract: Forming the right combination of students in a group promises to enable a powerful and effective environment for learning and collaboration. However, defining a group of students is a complex task which has to satis... | [] | Test |
18,371 | 24 | Title: Deep Dependency Networks for Multi-Label Classification
Abstract: We propose a simple approach which combines the strengths of probabilistic graphical models and deep learning architectures for solving the multi-label classification task, focusing specifically on image and video data. First, we show that the per... | [] | Train |
18,372 | 24 | Title: A Brief Survey on the Approximation Theory for Sequence Modelling
Abstract: We survey current developments in the approximation theory of sequence modelling in machine learning. Particular emphasis is placed on classifying existing results for various model architectures through the lens of classical approximati... | [
43416,
38983
] | Train |
18,373 | 7 | Title: Fast immersed boundary method based on weighted quadrature
Abstract: nan | [] | Train |
18,374 | 5 | Title: JepREST: Functional tests for distributed REST applications
Abstract: Application services often support mobile and web applications with REST interfaces, implemented using a set of distributed components that interact with each other. This approach allows services to have high availability and performance at a ... | [] | Test |
18,375 | 10 | Title: Detecting Evidence of Organization in groups by Trajectories
Abstract: Effective detection of organizations is essential for fighting crime and maintaining public safety, especially considering the limited human resources and tools to deal with each group that exhibits co-movement patterns. This paper focuses on... | [] | Train |
18,376 | 28 | Title: Near-Field Integrated Sensing and Communications
Abstract: A near-field integrated sensing and communications (ISAC) framework is proposed, which introduces an additional distance dimension for both sensing and communications compared to the conventional far-field system. In particular, the Cramér-Rao bound for ... | [
14500,
7630,
6959
] | Train |
18,377 | 16 | Title: PP-GAN : Style Transfer from Korean Portraits to ID Photos Using Landmark Extractor with GAN
Abstract: The objective of a style transfer is to maintain the content of an image while transferring the style of another image. However, conventional research on style transfer has a significant limitation in preservin... | [] | Validation |
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