node_id int64 0 76.9k | label int64 0 39 | text stringlengths 13 124k | neighbors listlengths 0 3.32k | mask stringclasses 4
values |
|---|---|---|---|---|
42,278 | 10 | Title: The Study of Highway for Lifelong Multi-Agent Path Finding
Abstract: In modern fulfillment warehouses, agents traverse the map to complete endless tasks that arrive on the fly, which is formulated as a lifelong Multi-Agent Path Finding (lifelong MAPF) problem. The goal of tackling this challenging problem is to ... | [] | Train |
42,279 | 16 | Title: INDigo: An INN-Guided Probabilistic Diffusion Algorithm for Inverse Problems
Abstract: Recently it has been shown that using diffusion models for inverse problems can lead to remarkable results. However, these approaches require a closed-form expression of the degradation model and can not support complex degrad... | [] | Train |
42,280 | 24 | Title: Interpretable Medical Diagnostics with Structured Data Extraction by Large Language Models
Abstract: Tabular data is often hidden in text, particularly in medical diagnostic reports. Traditional machine learning (ML) models designed to work with tabular data, cannot effectively process information in such form. ... | [] | Validation |
42,281 | 25 | Title: Multitrack Music Transcription with a Time-Frequency Perceiver
Abstract: Multitrack music transcription aims to transcribe a music audio input into the musical notes of multiple instruments simultaneously. It is a very challenging task that typically requires a more complex model to achieve satisfactory result. ... | [
19137
] | Test |
42,282 | 13 | Title: Training a spiking neural network on an event-based label-free flow cytometry dataset
Abstract: Imaging flow cytometry systems aim to analyze a huge number of cells or micro-particles based on their physical characteristics. The vast majority of current systems acquire a large amount of images which are used to ... | [] | Train |
42,283 | 3 | Title: Towards Cross-Provider Analysis of Transparency Information for Data Protection
Abstract: Transparency and accountability are indispensable principles for modern data protection, from both, legal and technical viewpoints. Regulations such as the GDPR, therefore, require specific transparency information to be pr... | [
37571,
43716,
40541
] | Validation |
42,284 | 3 | Title: Data-Centric Governance
Abstract: Artificial intelligence (AI) governance is the body of standards and practices used to ensure that AI systems are deployed responsibly. Current AI governance approaches consist mainly of manual review and documentation processes. While such reviews are necessary for many systems... | [] | Train |
42,285 | 30 | Title: Exploiting Pseudo Future Contexts for Emotion Recognition in Conversations
Abstract: With the extensive accumulation of conversational data on the Internet, emotion recognition in conversations (ERC) has received increasing attention. Previous efforts of this task mainly focus on leveraging contextual and speake... | [
6110
] | Train |
42,286 | 16 | Title: MemeFier: Dual-stage Modality Fusion for Image Meme Classification
Abstract: Hate speech is a societal problem that has significantly grown through the Internet. New forms of digital content such as image memes have given rise to spread of hate using multimodal means, being far more difficult to analyse and dete... | [] | Train |
42,287 | 10 | Title: Personality testing of GPT-3: Limited temporal reliability, but highlighted social desirability of GPT-3's personality instruments results
Abstract: To assess the potential applications and limitations of chatbot GPT-3 Davinci-003, this study explored the temporal reliability of personality questionnaires applie... | [
36528,
12602,
37516,
31238
] | Train |
42,288 | 30 | Title: Exploring Social Media for Early Detection of Depression in COVID-19 Patients
Abstract: The COVID-19 pandemic has caused substantial damage to global health. Even though three years have passed, the world continues to struggle with the virus. Concerns are growing about the impact of COVID-19 on the mental health... | [
44444
] | Train |
42,289 | 10 | Title: feather - a Python SDK to share and deploy models
Abstract: At its core, feather was a tool that allowed model developers to build shareable user interfaces for their models in under 20 lines of code. Using the Python SDK, developers specified visual components that users would interact with. (e.g. a FileUpload ... | [] | Train |
42,290 | 21 | Title: Towards Mobility Data Science (Vision Paper)
Abstract: Mobility data captures the locations of moving objects such as humans, animals, and cars. With the availability of GPS-equipped mobile devices and other inexpensive location-tracking technologies, mobility data is collected ubiquitously. In recent years, the... | [
41341
] | Train |
42,291 | 34 | Title: On the Unreasonable Effectiveness of Single Vector Krylov Methods for Low-Rank Approximation
Abstract: Krylov subspace methods are a ubiquitous tool for computing near-optimal rank $k$ approximations of large matrices. While"large block"Krylov methods with block size at least $k$ give the best known theoretical ... | [
40546
] | Train |
42,292 | 27 | Title: Quality Diversity under Sparse Reward and Sparse Interaction: Application to Grasping in Robotics
Abstract: Quality-Diversity (QD) methods are algorithms that aim to generate a set of diverse and high-performing solutions to a given problem. Originally developed for evolutionary robotics, most QD studies are con... | [
3309,
33006,
28947,
8214,
38841,
23261,
24766
] | Validation |
42,293 | 24 | Title: Counterfactual Explanations for Graph Classification Through the Lenses of Density
Abstract: Counterfactual examples have emerged as an effective approach to produce simple and understandable post-hoc explanations. In the context of graph classification, previous work has focused on generating counterfactual exp... | [] | Train |
42,294 | 24 | Title: Between-Sample Relationship in Learning Tabular Data Using Graph and Attention Networks
Abstract: Traditional machine learning assumes samples in tabular data to be independent and identically distributed (i.i.d). This assumption may miss useful information within and between sample relationships in representati... | [] | Train |
42,295 | 23 | Title: Syntax and Domain Aware Model for Unsupervised Program Translation
Abstract: There is growing interest in software migration as the development of software and society. Manually migrating projects between languages is error-prone and expensive. In recent years, researchers have begun to explore automatic program... | [
30242,
42523
] | Test |
42,296 | 4 | Title: TimeClave: Oblivious In-enclave Time series Processing System
Abstract: Cloud platforms are widely adopted by many systems, such as time series processing systems, to store and process massive amounts of sensitive time series data. Unfortunately, several incidents have shown that cloud platforms are vulnerable t... | [] | Train |
42,297 | 28 | Title: Joint Beamforming and Device Selection in Federated Learning with Over-the-air Aggregation
Abstract: Federated Learning (FL) with over-the-air computation is susceptible to analog aggregation error due to channel conditions and noise. Excluding devices with weak channels can reduce the aggregation error, but als... | [] | Train |
42,298 | 13 | Title: Towards Rigorous Understanding of Neural Networks via Semantics-preserving Transformations
Abstract: In this paper we present an algebraic approach to the precise and global verification and explanation of Rectifier Neural Networks, a subclass of Piece-wise Linear Neural Networks (PLNNs), i.e., networks that sem... | [
42467,
38325
] | Test |
42,299 | 24 | Title: Perspectives on AI Architectures and Co-design for Earth System Predictability
Abstract: Recently, the U.S. Department of Energy (DOE), Office of Science, Biological and Environmental Research (BER), and Advanced Scientific Computing Research (ASCR) programs organized and held the Artificial Intelligence for Ear... | [] | Train |
42,300 | 16 | Title: Self-Supervised Learning for Point Clouds Data: A Survey
Abstract: 3D point clouds are a crucial type of data collected by LiDAR sensors and widely used in transportation applications due to its concise descriptions and accurate localization. Deep neural networks (DNNs) have achieved remarkable success in proces... | [
28652
] | Train |
42,301 | 28 | Title: Low-rank Matrix Sensing With Dithered One-Bit Quantization
Abstract: We explore the impact of coarse quantization on low-rank matrix sensing in the extreme scenario of dithered one-bit sampling, where the high-resolution measurements are compared with random time-varying threshold levels. To recover the low-rank... | [] | Train |
42,302 | 16 | Title: Spatially and Spectrally Consistent Deep Functional Maps
Abstract: Cycle consistency has long been exploited as a powerful prior for jointly optimizing maps within a collection of shapes. In this paper, we investigate its utility in the approaches of Deep Functional Maps, which are considered state-of-the-art in... | [] | Train |
42,303 | 16 | Title: A denoised Mean Teacher for domain adaptive point cloud registration
Abstract: Point cloud-based medical registration promises increased computational efficiency, robustness to intensity shifts, and anonymity preservation but is limited by the inefficacy of unsupervised learning with similarity metrics. Supervis... | [] | Train |
42,304 | 6 | Title: Leveraging Mobile Sensing Technology for Societal Change Towards more Sustainable Behavior
Abstract: A pro-environmental attitude in the general population is essential to combat climate change. Society as a whole has the power to change economic processes through market demands and to exert pressure on policyma... | [
39610
] | Train |
42,305 | 32 | Title: Diddy: a Python toolbox for infinite discrete dynamical systems
Abstract: We introduce Diddy, a collection of Python scripts for analyzing infinite discrete dynamical systems. The main focus is on generalized multidimensional shifts of finite type (SFTs). We show how Diddy can be used to easily define SFTs and c... | [] | Train |
42,306 | 10 | Title: Over-Squashing in Graph Neural Networks: A Comprehensive survey
Abstract: Graph Neural Networks (GNNs) have emerged as a revolutionary paradigm in the realm of machine learning, offering a transformative approach to dissect intricate relationships inherent in graph-structured data. The foundational architecture ... | [
2656,
39331,
28263,
26770,
15414,
40890,
10555,
42942
] | Train |
42,307 | 27 | Title: Deep Reinforcement Learning Based Framework for Mobile Energy Disseminator Dispatching to Charge On-the-Road Electric Vehicles
Abstract: The exponential growth of electric vehicles (EVs) presents novel challenges in preserving battery health and in addressing the persistent problem of vehicle range anxiety. To a... | [] | Test |
42,308 | 24 | Title: Dealing with Cross-Task Class Discrimination in Online Continual Learning
Abstract: Existing continual learning (CL) research regards catastrophic forgetting (CF) as almost the only challenge. This paper argues for another challenge in class-incremental learning (CIL), which we call cross-task class discriminati... | [
24011
] | Train |
42,309 | 24 | Title: Using Geographic Location-based Public Health Features in Survival Analysis
Abstract: Time elapsed till an event of interest is often modeled using the survival analysis methodology, which estimates a survival score based on the input features. There is a resurgence of interest in developing more accurate predic... | [] | Validation |
42,310 | 4 | Title: Privacy-Preserving Electricity Theft Detection Based on Blockchain
Abstract: In most electricity theft detection schemes, consumers’ power consumption data is directly input into the detection center. Although it is valid in detecting the theft of consumers, the privacy of all consumers is at risk unless the det... | [] | Train |
42,311 | 16 | Title: 3D Face Alignment Through Fusion of Head Pose Information and Features
Abstract: The ability of humans to infer head poses from face shapes, and vice versa, indicates a strong correlation between the two. Accordingly, recent studies on face alignment have employed head pose information to predict facial landmark... | [
7908
] | Validation |
42,312 | 16 | Title: Meta-hallucinator: Towards Few-Shot Cross-Modality Cardiac Image Segmentation
Abstract: nan | [
17340
] | Train |
42,313 | 30 | Title: UATTA-EB: Uncertainty-Aware Test-Time Augmented Ensemble of BERTs for Classifying Common Mental Illnesses on Social Media Posts
Abstract: Given the current state of the world, because of existing situations around the world, millions of people suffering from mental illnesses feel isolated and unable to receive h... | [] | Test |
42,314 | 16 | Title: Cascaded Local Implicit Transformer for Arbitrary-Scale Super-Resolution
Abstract: Implicit neural representation has recently shown a promising ability in representing images with arbitrary resolutions. In this paper, we present a Local Implicit Transformer (LIT), which integrates the attention mechanism and fr... | [
5878
] | Validation |
42,315 | 10 | Title: Beyond Known Reality: Exploiting Counterfactual Explanations for Medical Research
Abstract: The field of explainability in artificial intelligence has witnessed a growing number of studies and increasing scholarly interest. However, the lack of human-friendly and individual interpretations in explaining the outc... | [
33345
] | Train |
42,316 | 24 | Title: A New PHO-rmula for Improved Performance of Semi-Structured Networks
Abstract: Recent advances to combine structured regression models and deep neural networks for better interpretability, more expressiveness, and statistically valid uncertainty quantification demonstrate the versatility of semi-structured neura... | [] | Train |
42,317 | 23 | Title: Black-box Adversarial Example Attack towards FCG Based Android Malware Detection under Incomplete Feature Information
Abstract: The function call graph (FCG) based Android malware detection methods have recently attracted increasing attention due to their promising performance. However, these methods are suscept... | [
29305
] | Train |
42,318 | 23 | Title: Towards Concrete and Connected AI Risk Assessment (C2AIRA): A Systematic Mapping Study
Abstract: The rapid development of artificial intelligence (AI) has led to increasing concerns about the capability of AI systems to make decisions and behave responsibly. Responsible AI (RAI) refers to the development and use... | [
4744,
33962
] | Validation |
42,319 | 30 | Title: Probing Brain Context-Sensitivity with Masked-Attention Generation
Abstract: Two fundamental questions in neurolinguistics concerns the brain regions that integrate information beyond the lexical level, and the size of their window of integration. To address these questions we introduce a new approach named mask... | [
29930
] | Test |
42,320 | 28 | Title: Secrecy Analysis for MISO Broadcast Systems with Regularized Zero-Forcing Precoding
Abstract: —As an effective way to enhance the physical layer security (PLS) for the broadcast channel (BC), regularized zero- forcing (RZF) precoding has attracted much attention. However, the reliability performance, i.e., secre... | [
24505
] | Test |
42,321 | 16 | Title: Plug the Leaks: Advancing Audio-driven Talking Face Generation by Preventing Unintended Information Flow
Abstract: Audio-driven talking face generation is the task of creating a lip-synchronized, realistic face video from given audio and reference frames. This involves two major challenges: overall visual qualit... | [] | Validation |
42,322 | 16 | Title: SFD2: Semantic-Guided Feature Detection and Description
Abstract: Visual localization is a fundamental task for various applications including autonomous driving and robotics. Prior methods focus on extracting large amounts of often redundant locally reliable features, resulting in limited efficiency and accurac... | [
7880
] | Train |
42,323 | 24 | Title: Near Optimal Private and Robust Linear Regression
Abstract: We study the canonical statistical estimation problem of linear regression from $n$ i.i.d.~examples under $(\varepsilon,\delta)$-differential privacy when some response variables are adversarially corrupted. We propose a variant of the popular different... | [
10947
] | Validation |
42,324 | 16 | Title: A CNN Based Framework for Unistroke Numeral Recognition in Air-Writing
Abstract: Air-writing refers to virtually writing linguistic characters through hand gestures in three dimensional space with six degrees of freedom. In this paper a generic video camera dependent convolutional neural network (CNN) based air-... | [] | Train |
42,325 | 34 | Title: Improving Oblivious Reconfigurable Networks with High Probability
Abstract: Oblivious Reconfigurable Networks (ORNs) use rapidly reconfiguring switches to create a dynamic time-varying topology. Prior theoretical work on ORNs has focused on the tradeoff between maximum latency and guaranteed throughput. This wor... | [
15013
] | Validation |
42,326 | 5 | Title: DGC: Training Dynamic Graphs with Spatio-Temporal Non-Uniformity using Graph Partitioning by Chunks
Abstract: Dynamic Graph Neural Network (DGNN) has shown a strong capability of learning dynamic graphs by exploiting both spatial and temporal features. Although DGNN has recently received considerable attention b... | [
37256
] | Train |
42,327 | 16 | Title: Improving Continuous Sign Language Recognition with Cross-Lingual Signs
Abstract: This work dedicates to continuous sign language recognition (CSLR), which is a weakly supervised task dealing with the recognition of continuous signs from videos, without any prior knowledge about the temporal boundaries between c... | [
7395
] | Train |
42,328 | 10 | Title: Natural Example-Based Explainability: a Survey
Abstract: Explainable Artificial Intelligence (XAI) has become increasingly significant for improving the interpretability and trustworthiness of machine learning models. While saliency maps have stolen the show for the last few years in the XAI field, their ability... | [] | Test |
42,329 | 24 | Title: Neural Fine-Gray: Monotonic neural networks for competing risks
Abstract: Time-to-event modelling, known as survival analysis, differs from standard regression as it addresses censoring in patients who do not experience the event of interest. Despite competitive performances in tackling this problem, machine lea... | [] | Train |
42,330 | 27 | Title: RSPT: Reconstruct Surroundings and Predict Trajectories for Generalizable Active Object Tracking
Abstract: Active Object Tracking (AOT) aims to maintain a specific relation between the tracker and object(s) by autonomously controlling the motion system of a tracker given observations. AOT has wide-ranging applic... | [
19482
] | Train |
42,331 | 9 | Title: Agreement theorems for high dimensional expanders in the small soundness regime: the role of covers
Abstract: Given a family $X$ of subsets of $[n]$ and an ensemble of local functions $\{f_s:s\to\Sigma\; | \; s\in X\}$, an agreement test is a randomized property tester that is supposed to test whether there is s... | [
11705
] | Validation |
42,332 | 24 | Title: Neural Relation Graph: A Unified Framework for Identifying Label Noise and Outlier Data
Abstract: Diagnosing and cleaning data is a crucial step for building robust machine learning systems. However, identifying problems within large-scale datasets with real-world distributions is challenging due to the presence... | [] | Validation |
42,333 | 36 | Title: Coarse Correlated Equilibrium Implies Nash Equilibrium in Two-Player Zero-Sum Games
Abstract: We give a simple proof of the well-known result that the marginal strategies of a coarse correlated equilibrium form a Nash equilibrium in two-player zero-sum games. A corollary of this fact is that no-external-regret l... | [] | Train |
42,334 | 7 | Title: Parametrised polyconvex hyperelasticity with physics-augmented neural networks
Abstract: In the present work, neural networks are applied to formulate parametrised hyperelastic constitutive models. The models fulfill all common mechanical conditions of hyperelasticity by construction. In particular, partially in... | [
39195
] | Test |
42,335 | 31 | Title: Noise-Robust Dense Retrieval via Contrastive Alignment Post Training
Abstract: The success of contextual word representations and advances in neural information retrieval have made dense vector-based retrieval a standard approach for passage and document ranking. While effective and efficient, dual-encoders are ... | [] | Validation |
42,336 | 24 | Title: Breaking the Complexity Barrier in Compositional Minimax Optimization
Abstract: Compositional minimax optimization is a pivotal yet under-explored challenge across machine learning, including distributionally robust training and policy evaluation for reinforcement learning. Current techniques exhibit suboptimal ... | [] | Validation |
42,337 | 26 | Title: Investigating disaster response through social media data and the Susceptible-Infected-Recovered (SIR) model: A case study of 2020 Western U.S. wildfire season
Abstract: Effective disaster response is critical for affected communities. Responders and decision-makers would benefit from reliable, timely measures o... | [] | Validation |
42,338 | 16 | Title: Self-supervised Hypergraphs for Learning Multiple World Interpretations
Abstract: We present a method for learning multiple scene representations given a small labeled set, by exploiting the relationships between such representations in the form of a multi-task hypergraph. We also show how we can use the hypergr... | [] | Test |
42,339 | 24 | Title: Regular Time-series Generation using SGM
Abstract: Score-based generative models (SGMs) are generative models that are in the spotlight these days. Time-series frequently occurs in our daily life, e.g., stock data, climate data, and so on. Especially, time-series forecasting and classification are popular resear... | [
42957,
17941,
27257,
8668,
16958
] | Validation |
42,340 | 10 | Title: FuzzyLogic.jl: a Flexible Library for Efficient and Productive Fuzzy Inference
Abstract: This paper introduces \textsc{FuzzyLogic.jl}, a Julia library to perform fuzzy inference. The library is fully open-source and released under a permissive license. The core design principles of the library are: user-friendli... | [] | Validation |
42,341 | 26 | Title: Migration Reframed? A multilingual analysis on the stance shift in Europe during the Ukrainian crisis
Abstract: The war in Ukraine seems to have positively changed the attitude toward the critical societal topic of migration in Europe – at least towards refugees from Ukraine. We investigate whether this impressi... | [
10641
] | Train |
42,342 | 16 | Title: Diversity-Measurable Anomaly Detection
Abstract: Reconstruction-based anomaly detection models achieve their purpose by suppressing the generalization ability for anomaly. However, diverse normal patterns are consequently not well reconstructed as well. Although some efforts have been made to alleviate this prob... | [
40265,
34749
] | Train |
42,343 | 28 | Title: Finding a Burst of Positives via Nonadaptive Semiquantitative Group Testing
Abstract: Motivated by testing for pathogenic diseases we consider a new nonadaptive group testing problem for which: (1) positives occur within a burst, capturing the fact that infected test subjects often come in clusters, and (2) that... | [] | Train |
42,344 | 24 | Title: DOMINO: Domain-invariant Hyperdimensional Classification for Multi-Sensor Time Series Data
Abstract: With the rapid evolution of the Internet of Things, many real-world applications utilize heterogeneously connected sensors to capture time-series information. Edge-based machine learning (ML) methodologies are of... | [
39402,
28111
] | Test |
42,345 | 23 | Title: Can You Improve My Code? Optimizing Programs with Local Search
Abstract: This paper introduces a local search method for improving an existing program with respect to a measurable objective. Program Optimization with Locally Improving Search (POLIS) exploits the structure of a program, defined by its lines. POLI... | [] | Test |
42,346 | 16 | Title: TM2D: Bimodality Driven 3D Dance Generation via Music-Text Integration
Abstract: We propose a novel task for generating 3D dance movements that simultaneously incorporate both text and music modalities. Unlike existing works that generate dance movements using a single modality such as music, our goal is to prod... | [] | Test |
42,347 | 11 | Title: Learning Optimal "Pigovian Tax" in Sequential Social Dilemmas
Abstract: In multi-agent reinforcement learning, each agent acts to maximize its individual accumulated rewards. Nevertheless, individual accumulated rewards could not fully reflect how others perceive them, resulting in selfish behaviors that undermi... | [
21893
] | Train |
42,348 | 16 | Title: Benchmarking Deepart Detection
Abstract: Deepfake technologies have been blurring the boundaries between the real and unreal, likely resulting in malicious events. By leveraging newly emerged deepfake technologies, deepfake researchers have been making a great upending to create deepfake artworks (deeparts), whi... | [
2317
] | Train |
42,349 | 6 | Title: So, I Can Feel Normal: Participatory Design for Accessible Social Media Sites for Individuals with Traumatic Brain Injury
Abstract: Traumatic brain injury (TBI) can result in chronic sensorimotor, cognitive, psychosocial, and communication challenges that can limit social participation. Social media can be a use... | [] | Train |
42,350 | 34 | Title: Algorithmic Aspects of the Log-Laplace Transform and a Non-Euclidean Proximal Sampler
Abstract: The development of efficient sampling algorithms catering to non-Euclidean geometries has been a challenging endeavor, as discretization techniques which succeed in the Euclidean setting do not readily carry over to m... | [] | Train |
42,351 | 10 | Title: Scalable Coupling of Deep Learning with Logical Reasoning
Abstract: In the ongoing quest for hybridizing discrete reasoning with neural nets, there is an increasing interest in neural architectures that can learn how to solve discrete reasoning or optimization problems from natural inputs. In this paper, we intr... | [] | Validation |
42,352 | 4 | Title: PRAGTHOS: Practical Game Theoretically Secure Proof-of-Work Blockchain
Abstract: Security analysis of blockchain technology is an active domain of research. There has been both cryptographic and game-theoretic security analysis of Proof-of-Work (PoW) blockchains. Prominent work includes the cryptographic securit... | [] | Validation |
42,353 | 24 | Title: Deep Learning for Time Series Classification and Extrinsic Regression: A Current Survey
Abstract: Time Series Classification and Extrinsic Regression are important and challenging machine learning tasks. Deep learning has revolutionized natural language processing and computer vision and holds great promise in o... | [
28496,
34152,
32869
] | Train |
42,354 | 23 | Title: xASTNN: Improved Code Representations for Industrial Practice
Abstract: The application of deep learning techniques in software engineering becomes increasingly popular. One key problem is developing high-quality and easy-to-use source code representations for code-related tasks. The research community has acqui... | [] | Train |
42,355 | 27 | Title: WALL-E: Embodied Robotic WAiter Load Lifting with Large Language Model
Abstract: Enabling robots to understand language instructions and react accordingly to visual perception has been a long-standing goal in the robotics research community. Achieving this goal requires cutting-edge advances in natural language ... | [
40192,
26562,
22115,
13700,
21702,
295,
29419,
7198
] | Train |
42,356 | 27 | Title: Incremental procedural and sensorimotor learning in cognitive humanoid robots
Abstract: The ability to automatically learn movements and behaviors of increasing complexity is a long-term goal in autonomous systems. Indeed, this is a very complex problem that involves understanding how knowledge is acquired and r... | [] | Train |
42,357 | 27 | Title: End-to-End Driving via Self-Supervised Imitation Learning Using Camera and LiDAR Data
Abstract: In autonomous driving, the end-to-end (E2E) driving approach that predicts vehicle control signals directly from sensor data is rapidly gaining attention. To learn a safe E2E driving system, one needs an extensive amo... | [] | Train |
42,358 | 16 | Title: Category Feature Transformer for Semantic Segmentation
Abstract: Aggregation of multi-stage features has been revealed to play a significant role in semantic segmentation. Unlike previous methods employing point-wise summation or concatenation for feature aggregation, this study proposes the Category Feature Tra... | [] | Validation |
42,359 | 13 | Title: Don't Bet on Luck Alone: Enhancing Behavioral Reproducibility of Quality-Diversity Solutions in Uncertain Domains
Abstract: Quality-Diversity (QD) algorithms are designed to generate collections of high-performing solutions while maximizing their diversity in a given descriptor space. However, in the presence of... | [
23261,
37567
] | Train |
42,360 | 18 | Title: SerIOS: Enhancing Hardware Security in Integrated Optoelectronic Systems
Abstract: Silicon photonics (SiPh) has different applications, from enabling fast and high-bandwidth communication for high-performance computing systems to realizing energy-efficient optical computation for AI hardware accelerators. Howeve... | [] | Train |
42,361 | 24 | Title: Fascinating Supervisory Signals and Where to Find Them: Deep Anomaly Detection with Scale Learning
Abstract: Due to the unsupervised nature of anomaly detection, the key to fueling deep models is finding supervisory signals. Different from current reconstruction-guided generative models and transformation-based ... | [
4698
] | Train |
42,362 | 16 | Title: Diffusion-HPC: Generating Synthetic Images with Realistic Humans
Abstract: Recent text-to-image generative models have exhibited remarkable abilities in generating high-fidelity and photo-realistic images. However, despite the visually impressive results, these models often struggle to preserve plausible human s... | [
44593,
16103
] | Train |
42,363 | 23 | Title: Software Startups - A Research Agenda
Abstract: Software startup companies develop innovative, software-intensive products within limited timeframes and with few resources, searching for sustainable and scalable business models. Software startup ... | [
36975,
10714,
36531,
14135,
30906,
14267,
7357
] | Train |
42,364 | 16 | Title: Lightweight wood panel defect detection method incorporating attention mechanism and feature fusion network
Abstract: In recent years, deep learning has made significant progress in wood panel defect detection. However, there are still challenges such as low detection , slow detection speed, and difficulties in ... | [] | Validation |
42,365 | 24 | Title: HypLL: The Hyperbolic Learning Library
Abstract: Deep learning in hyperbolic space is quickly gaining traction in the fields of machine learning, multimedia, and computer vision. Deep networks commonly operate in Euclidean space, implicitly assuming that data lies on regular grids. Recent advances have shown tha... | [] | Validation |
42,366 | 15 | Title: Optimized Real-Time Assembly in a RISC Simulator
Abstract: Simulators for the RISC-V instruction set architecture (ISA) are useful for teaching assembly language and modern CPU architecture concepts. The Assembly/Simulation Platform for Illustration of RISC-V in Education (ASPIRE) is an integrated RISC-V assembl... | [] | Train |
42,367 | 27 | Title: Toward Fine Contact Interactions: Learning to Control Normal Contact Force with Limited Information
Abstract: Dexterous manipulation of objects through fine control of physical contacts is essential for many important tasks of daily living. A fundamental ability underlying fine contact control is compliant contr... | [] | Test |
42,368 | 16 | Title: Shape Reconstruction from Thoracoscopic Images using Self-supervised Virtual Learning
Abstract: Intraoperative shape reconstruction of organs from endoscopic camera images is a complex yet indispensable technique for image-guided surgery. To address the uncertainty in reconstructing entire shapes from single-vie... | [] | Train |
42,369 | 16 | Title: Hidden Knowledge: Mathematical Methods for the Extraction of the Fingerprint of Medieval Paper from Digital Images
Abstract: Medieval paper, a handmade product, is made with a mould which leaves an indelible imprint on the sheet of paper. This imprint includes chain lines, laid lines and watermarks which are oft... | [] | Train |
42,370 | 24 | Title: CoarsenConf: Equivariant Coarsening with Aggregated Attention for Molecular Conformer Generation
Abstract: Molecular conformer generation (MCG) is an important task in cheminformatics and drug discovery. The ability to efficiently generate low-energy 3D structures can avoid expensive quantum mechanical simulatio... | [
22897,
15045
] | Train |
42,371 | 34 | Title: Approximation Algorithms for Directed Weighted Spanners
Abstract: In the pairwise weighted spanner problem, the input consists of an $n$-vertex-directed graph, where each edge is assigned a cost and a length. Given $k$ vertex pairs and a distance constraint for each pair, the goal is to find a minimum-cost subgr... | [] | Train |
42,372 | 24 | Title: Performance Evaluation of Regression Models in Predicting the Cost of Medical Insurance
Abstract: The study aimed to evaluate the regression models' performance in predicting the cost of medical insurance. The Three (3) Regression Models in Machine Learning namely Linear Regression, Gradient Boosting, and Suppor... | [] | Train |
42,373 | 33 | Title: On the Succinctness of Good-for-MDPs Automata
Abstract: Good-for-MDPs and good-for-games automata are two recent classes of nondeterministic automata that reside between general nondeterministic and deterministic automata. Deterministic automata are good-for-games, and good-for-games automata are good-for-MDPs, ... | [] | Validation |
42,374 | 28 | Title: Improved List Decoding for Polar-Coded Probabilistic Shaping
Abstract: A modified successive cancellation list (SCL) decoder is proposed for polar-coded probabilistic shaping. The decoder exploits the deterministic encoding rule for shaping bits to rule out candidate code words that the encoder would not generat... | [] | Validation |
42,375 | 16 | Title: PDL: Regularizing Multiple Instance Learning with Progressive Dropout Layers
Abstract: Multiple instance learning (MIL) was a weakly supervised learning approach that sought to assign binary class labels to collections of instances known as bags. However, due to their weak supervision nature, the MIL methods wer... | [] | Validation |
42,376 | 4 | Title: Confidential Truth Finding with Multi-Party Computation (Extended Version)
Abstract: Federated knowledge discovery and data mining are challenged to assess the trustworthiness of data originating from autonomous sources while protecting confidentiality and privacy. Truth-finding algorithms help corroborate data ... | [] | Train |
42,377 | 4 | Title: A First Look at Digital Rights Management Systems for Secure Mobile Content Delivery
Abstract: Digital rights management (DRM) solutions aim to prevent the copying or distribution of copyrighted material. On mobile devices, a variety of DRM technologies have become widely deployed. However, a detailed security s... | [] | Validation |
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