node_id int64 0 76.9k | label int64 0 39 | text stringlengths 13 124k | neighbors listlengths 0 3.32k | mask stringclasses 4
values |
|---|---|---|---|---|
35,678 | 30 | Title: Improving Knowledge Graph Entity Alignment with Graph Augmentation
Abstract: Entity alignment (EA) which links equivalent entities across different knowledge graphs (KGs) plays a crucial role in knowledge fusion. In recent years, graph neural networks (GNNs) have been successfully applied in many embedding-based... | [] | Train |
35,679 | 23 | Title: A Survey of Modern Compiler Fuzzing
Abstract: Most software that runs on computers undergoes processing by compilers. Since compilers constitute the fundamental infrastructure of software development, their correctness is paramount. Over the years, researchers have invested in analyzing, understanding, and chara... | [
3932
] | Test |
35,680 | 30 | Title: Large language models effectively leverage document-level context for literary translation, but critical errors persist
Abstract: Large language models (LLMs) are competitive with the state of the art on a wide range of sentence-level translation datasets. However, their ability to translate paragraphs and docum... | [
33563,
18564,
31493,
6535,
17577,
27340,
20025,
27482,
9595,
1789,
23359
] | Train |
35,681 | 28 | Title: Feedback Capacity of OU-Colored AWGN Channels
Abstract: We derive an explicit formula of the feedback capacity for a continuous-time OU-colored AWGN channel. Among many others, this result shows that at least in some cases, the continuous-time Schalkwijk-Kailath coding scheme achieves the feedback capacity for s... | [] | Train |
35,682 | 25 | Title: ForkNet: Simultaneous Time and Time-Frequency Domain Modeling for Speech Enhancement
Abstract: Previous research in speech enhancement has mostly focused on modeling time or time-frequency domain information alone, with little consideration given to the potential benefits of simultaneously modeling both domains.... | [] | Train |
35,683 | 24 | Title: Investigation of Compressor Cascade Flow Using Physics- Informed Neural Networks with Adaptive Learning Strategy
Abstract: In this study, we utilize the emerging Physics Informed Neural Networks (PINNs) approach for the first time to predict the flow field of a compressor cascade. Different from conventional tra... | [] | Validation |
35,684 | 25 | Title: Mingling or Misalignment? Temporal Shift for Speech Emotion Recognition with Pre-trained Representations
Abstract: Fueled by recent advances of self-supervised models, pre-trained speech representations proved effective for the downstream speech emotion recognition (SER) task. Most prior works mainly focus on ex... | [
1591
] | Train |
35,685 | 31 | Title: Fairness in Image Search: A Study of Occupational Stereotyping in Image Retrieval and its Debiasing
Abstract: Multi-modal search engines have experienced significant growth and widespread use in recent years, making them the second most common internet use. While search engine systems offer a range of services, ... | [
10650
] | Train |
35,686 | 16 | Title: Multi-Scale Memory Comparison for Zero-/Few-Shot Anomaly Detection
Abstract: Anomaly detection has gained considerable attention due to its broad range of applications, particularly in industrial defect detection. To address the challenges of data collection, researchers have introduced zero-/few-shot anomaly de... | [
37029
] | Train |
35,687 | 3 | Title: Reliability Gaps Between Groups in COMPAS Dataset
Abstract: This paper investigates the inter-rater reliability of risk assessment instruments (RAIs). The main question is whether different, socially salient groups are affected differently by a lack of inter-rater reliability of RAIs, that is, whether mistakes w... | [] | Validation |
35,688 | 5 | Title: Farm Environmental Data Analyzer using a Decentralised system and R
Abstract: Abstract: Data/Web Hosting is a service that lets enterprises or selves present their data on the internet that users can access. The firm providing such services are web/data host. Apart from that, such services require incessant supp... | [] | Train |
35,689 | 4 | Title: Erase and Repair: An Efficient Box-Free Removal Attack on High-Capacity Deep Hiding
Abstract: Deep hiding, embedding images with others using deep neural networks, has demonstrated impressive efficacy in increasing the message capacity and robustness of secret sharing. In this paper, we challenge the robustness ... | [] | Validation |
35,690 | 27 | Title: Secure Deep Learning-based Distributed Intelligence on Pocket-sized Drones
Abstract: Palm-sized nano-drones are an appealing class of edge nodes, but their limited computational resources prevent running large deep-learning models onboard. Adopting an edge-fog computational paradigm, we can offload part of the c... | [] | Test |
35,691 | 28 | Title: Some quaternary additive codes outperform linear counterparts
Abstract: The additive codes may have better parameters than linear codes. However, it is still a challenging problem to efficiently construct additive codes that outperform linear codes, especially those with greater distances than linear codes of th... | [
43753
] | Train |
35,692 | 24 | Title: Adaptive Federated Pruning in Hierarchical Wireless Networks
Abstract: Federated Learning (FL) is a promising privacy-preserving distributed learning framework where a server aggregates models updated by multiple devices without accessing their private datasets. Hierarchical FL (HFL), as a device-edge-cloud aggr... | [
37927
] | Validation |
35,693 | 30 | Title: Words that Wound: The Impact of Biased Language on News Sentiment and Stock Market Index
Abstract: This study investigates the impact of biased language, specifically 'Words that Wound,' on sentiment analysis in a dataset of 45,379 South Korean daily economic news articles. Using Word2Vec, cosine similarity, and... | [] | Train |
35,694 | 4 | Title: Time for Change: How Clocks Break UWB Secure Ranging
Abstract: Due to its suitability for wireless ranging, Ultra-Wide Band (UWB) has gained traction over the past years. UWB chips have been integrated into consumer electronics and considered for security-relevant use cases, such as access control or contactless... | [] | Train |
35,695 | 2 | Title: Binding Logic: Proofs and Models
Abstract: nan | [] | Test |
35,696 | 5 | Title: Distributed Neural Representation for Reactive in situ Visualization
Abstract: In situ visualization and steering of computational modeling can be effectively achieved using reactive programming, which leverages temporal abstraction and data caching mechanisms to create dynamic workflows. However, implementing a... | [] | Train |
35,697 | 28 | Title: Preserving Sparsity and Privacy in Straggler-Resilient Distributed Matrix Computations
Abstract: Existing approaches to distributed matrix computations involve allocating coded combinations of submatrices to worker nodes, to build resilience to stragglers and/or enhance privacy. In this study, we consider the ch... | [
39632,
7054
] | Train |
35,698 | 16 | Title: Diving into Darkness: A Dual-Modulated Framework for High-Fidelity Super-Resolution in Ultra-Dark Environments
Abstract: Super-resolution tasks oriented to images captured in ultra-dark environments is a practical yet challenging problem that has received little attention. Due to uneven illumination and low sign... | [
18999
] | Train |
35,699 | 6 | Title: Data Navigator: An accessibility-centered data navigation toolkit
Abstract: Making data visualizations accessible for people with disabilities remains a significant challenge in current practitioner efforts. Existing visualizations often lack an underlying navigable structure, fail to engage necessary input moda... | [] | Train |
35,700 | 34 | Title: Compressibility-Aware Quantum Algorithms on Strings
Abstract: Sublinear time quantum algorithms have been established for many fundamental problems on strings. This work demonstrates that new, faster quantum algorithms can be designed when the string is highly compressible. We focus on two popular and theoretica... | [] | Train |
35,701 | 30 | Title: Contextualized Medication Information Extraction Using Transformer-based Deep Learning Architectures
Abstract: nan | [
13239
] | Validation |
35,702 | 22 | Title: A Control Flow based Static Analysis of GRAFCET using Abstract Interpretation
Abstract: The graphical modeling language GRAFCET is used as a formal specification language in industrial control design. This paper proposes a static analysis approach based on the control flow of GRAFCET using abstract interpretatio... | [] | Train |
35,703 | 17 | Title: Synchronized-tracing of implicit surfaces
Abstract: Implicit surfaces are known for their ability to represent smooth objects of arbitrary topology thanks to hierarchical combinations of primitives using a structure called a blobtree. We present a new tile-based rendering pipeline well suited for modeling scenar... | [] | Test |
35,704 | 24 | Title: Federated Analytics: A survey
Abstract: Federated analytics (FA) is a privacy-preserving framework for computing data analytics over multiple remote parties (e.g., mobile devices) or silo-ed institutional entities (e.g., hospitals, banks) without sharing the data among parties. Motivated by the practical use cas... | [
7257,
18311
] | Validation |
35,705 | 24 | Title: AdaBoost is not an Optimal Weak to Strong Learner
Abstract: AdaBoost is a classic boosting algorithm for combining multiple inaccurate classifiers produced by a weak learner, to produce a strong learner with arbitrarily high accuracy when given enough training data. Determining the optimal number of samples nece... | [] | Train |
35,706 | 5 | Title: Quantifying OpenMP: Statistical Insights into Usage and Adoption
Abstract: In high-performance computing (HPC), the demand for efficient parallel programming models has grown dramatically since the end of Dennard Scaling and the subsequent move to multi-core CPUs. OpenMP stands out as a popular choice due to its... | [
37700,
24329,
13418,
14285,
18748,
2845
] | Train |
35,707 | 24 | Title: Playing hide and seek: tackling in-store picking operations while improving customer experience
Abstract: . | [] | Test |
35,708 | 27 | Title: Safe and Efficient Navigation in Extreme Environments using Semantic Belief Graphs
Abstract: To achieve autonomy in unknown and unstruc-tured environments, we propose a method for semantic-based planning under perceptual uncertainty. This capability is cru-cial for safe and efficient robot navigation in environm... | [
23709
] | Train |
35,709 | 24 | Title: Fast Classification with Sequential Feature Selection in Test Phase
Abstract: This paper introduces a novel approach to active feature acquisition for classification, which is the task of sequentially selecting the most informative subset of features to achieve optimal prediction performance during testing while... | [] | Test |
35,710 | 30 | Title: L1-aware Multilingual Mispronunciation Detection Framework
Abstract: The phonological discrepancies between a speaker's native (L1) and the non-native language (L2) serves as a major factor for mispronunciation. This paper introduces a novel multilingual MDD architecture, L1-MultiMDD, enriched with L1-aware spee... | [
44914,
11918
] | Train |
35,711 | 23 | Title: An AST-based Code Change Representation and its Performance in Just-in-time Vulnerability Prediction
Abstract: The presence of software vulnerabilities is an ever-growing issue in software development. In most cases, it is desirable to detect vulnerabilities as early as possible, preferably in a just-in-time man... | [] | Train |
35,712 | 13 | Title: Multilayer Multiset Neuronal Networks - MMNNs
Abstract: The coincidence similarity index, based on a combination of the Jaccard and overlap similarity indices, has noticeable properties in comparing and classifying data, including enhanced selectivity and sensitivity, intrinsic normalization, and robustness to d... | [
44667
] | Train |
35,713 | 30 | Title: Schema-learning and rebinding as mechanisms of in-context learning and emergence
Abstract: In-context learning (ICL) is one of the most powerful and most unexpected capabilities to emerge in recent transformer-based large language models (LLMs). Yet the mechanisms that underlie it are poorly understood. In this ... | [
38834,
38338,
2518
] | Test |
35,714 | 2 | Title: On the Independencies Hidden in the Structure of a Probabilistic Logic Program
Abstract: Pearl and Verma developed d-separation as a widely used graphical criterion to reason about the conditional independencies that are implied by the causal structure of a Bayesian network. As acyclic ground probabilistic logic... | [] | Train |
35,715 | 24 | Title: Causal Dependence Plots
Abstract: Explaining artificial intelligence or machine learning models is increasingly important. To use such data-driven systems wisely we must understand how they interact with the world, including how they depend causally on data inputs. In this work we develop Causal Dependence Plots... | [] | Test |
35,716 | 24 | Title: Spatiotemporal-Augmented Graph Neural Networks for Human Mobility Simulation
Abstract: Human mobility patterns have shown significant applications in policy-decision scenarios and economic behavior researches. The human mobility simulation task aims to generate human mobility trajectories given a small set of tr... | [] | Train |
35,717 | 16 | Title: Read My Mind: A Multi-Modal Dataset for Human Belief Prediction
Abstract: Understanding human intentions is key to enabling effective and efficient human-robot interaction (HRI) in collaborative settings. To enable developments and evaluation of the ability of artificial intelligence (AI) systems to infer human ... | [] | Validation |
35,718 | 16 | Title: Analytical reconstructions of full-scan multiple source-translation computed tomography under large field of views
Abstract: This paper is to investigate the high-quality analytical reconstructions of multiple source-translation computed tomography (mSTCT) under an extended field of view (FOV). Under the larger ... | [
19974
] | Validation |
35,719 | 27 | Title: Vehicle Fault-Tolerant Robust Power Transmission Line Inspection Planning
Abstract: This paper concerns fault-tolerant power transmission line inspection planning as a generalization of the multiple traveling salesmen problem. The addressed inspection planning problem is formulated as a single-depot multiple-veh... | [
45306,
27877
] | Train |
35,720 | 30 | Title: AfroDigits: A Community-Driven Spoken Digit Dataset for African Languages
Abstract: The advancement of speech technologies has been remarkable, yet its integration with African languages remains limited due to the scarcity of African speech corpora. To address this issue, we present AfroDigits, a minimalist, com... | [] | Train |
35,721 | 6 | Title: User-Centered Design (IX): A "User Experience 3.0" Paradigm Framework in the Intelligence Era
Abstract: The field of user experience (UX) based on the design philosophy of"user-centered design"is moving towards the intelligence era. Still, the existing UX paradigm mainly aims at non-intelligent systems and lacks... | [
15015
] | Validation |
35,722 | 31 | Title: Uptrendz: API-Centric Real-time Recommendations in Multi-Domain Settings
Abstract: In this work, we tackle the problem of adapting a real-time recommender system to multiple application domains, and their underlying data models and customization requirements. To do that, we present Uptrendz, a multi-domain recom... | [] | Train |
35,723 | 25 | Title: BEDRF: Bidirectional Edge Diffraction Response Function for Interactive Sound Propagation
Abstract: We introduce bidirectional edge diffraction response function (BEDRF), a new approach to model wave diffraction around edges with path tracing. The diffraction part of the wave is expressed as an integration on pa... | [] | Train |
35,724 | 23 | Title: Are We Speeding Up or Slowing Down? On Temporal Aspects of Code Velocity
Abstract: This paper investigates how the duration of various code review periods changes over a projects’ lifetime. We study four open-source software (OSS) projects: Blender, FreeBSD, LLVM, and Mozilla. We mine and analyze the characteris... | [] | Train |
35,725 | 24 | Title: The Best Defense is a Good Offense: Adversarial Augmentation Against Adversarial Attacks
Abstract: Many defenses against adversarial attacks (e.g. robust classifiers, randomization, or image purification) use countermeasures put to work only after the attack has been crafted. We adopt a different perspective to ... | [
35940
] | Test |
35,726 | 16 | Title: Online Self-Supervised Thermal Water Segmentation for Aerial Vehicles
Abstract: We present a new method to adapt an RGB-trained water segmentation network to target-domain aerial thermal imagery using online self-supervision by leveraging texture and motion cues as supervisory signals. This new thermal capabilit... | [] | Test |
35,727 | 16 | Title: Weakly Supervised 3D Instance Segmentation without Instance-level Annotations
Abstract: 3D semantic scene understanding tasks have achieved great success with the emergence of deep learning, but often require a huge amount of manually annotated training data. To alleviate the annotation cost, we propose the firs... | [] | Validation |
35,728 | 24 | Title: Utility-Probability Duality of Neural Networks
Abstract: It is typically understood that the training of modern neural networks is a process of fitting the probability distribution of desired output. However, recent paradoxical observations in a number of language generation tasks let one wonder if this canonica... | [] | Train |
35,729 | 5 | Title: Computation Offloading with Multiple Agents in Edge-Computing–Supported IoT
Abstract: With the development of the Internet of Things (IoT) and the birth of various new IoT devices, the capacity of massive IoT devices is facing challenges. Fortunately, edge computing can optimize problems such as delay and connec... | [] | Train |
35,730 | 23 | Title: The (ab)use of Open Source Code to Train Large Language Models
Abstract: In recent years, Large Language Models (LLMs) have gained significant popularity due to their ability to generate human-like text and their potential applications in various fields, such as Software Engineering. LLMs for Code are commonly t... | [
31018,
34493
] | Train |
35,731 | 24 | Title: Free-Form Variational Inference for Gaussian Process State-Space Models
Abstract: Gaussian process state-space models (GPSSMs) provide a principled and flexible approach to modeling the dynamics of a latent state, which is observed at discrete-time points via a likelihood model. However, inference in GPSSMs is c... | [
19080
] | Test |
35,732 | 26 | Title: Modularity-based approach for tracking communities in dynamic social networks
Abstract: Community detection is a fundamental task in social network analysis. Online social networks have dramatically increased the volume and speed of interactions among users, enabling advanced analysis of these dynamics. Despite ... | [] | Train |
35,733 | 27 | Title: Differentiable Environment Primitives for Contact State Estimation
Abstract: In contact-rich manipulation, the robot dynamics are coupled with an environment that has application-specific dynamic properties (stiffness, inertia) and geometry (contact normal). Knowledge of these environmental parameters can improv... | [] | Test |
35,734 | 24 | Title: Aggregating Correlated Estimations with (Almost) no Training
Abstract: Many decision problems cannot be solved exactly and use several estimation algorithms that assign scores to the different available options. The estimation errors can have various correlations, from low (e.g. between two very different approa... | [] | Train |
35,735 | 26 | Title: uHelp: intelligent volunteer search for mutual help communities
Abstract: When people need help with their day-to-day activities, they turn to family, friends or neighbours. But despite an increasingly networked world, technology falls short in finding suitable volunteers. In this paper, we propose uHelp, a platf... | [] | Train |
35,736 | 23 | Title: Role of ERP Modernization in Digital Transformation: PeopleSoft Insight
Abstract: The role of Enterprise Resource Planning (ERP) systems with digital transformation strategies have become an important aspect of modern businesses to stay competitive in the fast-paced digital landscape. ERP modernization refers to... | [
8970
] | Test |
35,737 | 16 | Title: Word-level Persian Lipreading Dataset
Abstract: Lip-reading has made impressive progress in recent years, driven by advances in deep learning. Nonetheless, the prerequisite such advances is a suitable dataset. This paper provides a new in-the-wild dataset for Persian word-level lip-reading containing 244,000 vid... | [
43227
] | Test |
35,738 | 30 | Title: Diverse and Faithful Knowledge-Grounded Dialogue Generation via Sequential Posterior Inference
Abstract: The capability to generate responses with diversity and faithfulness using factual knowledge is paramount for creating a human-like, trustworthy dialogue system. Common strategies either adopt a two-step para... | [] | Test |
35,739 | 30 | Title: Optimising Human-Machine Collaboration for Efficient High-Precision Information Extraction from Text Documents
Abstract: While humans can extract information from unstructured text with high precision and recall, this is often too time-consuming to be practical. Automated approaches, on the other hand, produce n... | [] | Train |
35,740 | 24 | Title: Machine Learning for Autonomous Vehicle's Trajectory Prediction: A comprehensive survey, Challenges, and Future Research Directions
Abstract: Autonomous Vehicles (AVs) have emerged as a promising solution by replacing human drivers with advanced computer-aided decision-making systems. However, for AVs to effecti... | [
18283
] | Train |
35,741 | 24 | Title: A General Theory of Correct, Incorrect, and Extrinsic Equivariance
Abstract: Although equivariant machine learning has proven effective at many tasks, success depends heavily on the assumption that the ground truth function is symmetric over the entire domain matching the symmetry in an equivariant neural networ... | [
35541
] | Train |
35,742 | 16 | Title: Exposing and Mitigating Spurious Correlations for Cross-Modal Retrieval
Abstract: Cross-modal retrieval methods are the preferred tool to search databases for the text that best matches a query image and vice versa. However, image-text retrieval models commonly learn to memorize spurious correlations in the trai... | [
3161,
7786,
30870,
17106
] | Test |
35,743 | 3 | Title: Forecasting Inter-Destination Tourism Flow via a Hybrid Deep Learning Model
Abstract: Tourists often go to multiple tourism destinations in one trip. The volume of tourism flow between tourism destinations, also referred to as ITF (Inter-Destination Tourism Flow) in this paper, is commonly used for tourism manag... | [] | Train |
35,744 | 16 | Title: Implicit and Explicit Commonsense for Multi-sentence Video Captioning
Abstract: Existing dense or paragraph video captioning approaches rely on holistic representations of videos, possibly coupled with learned object/action representations, to condition hierarchical language decoders. However, they fundamentally... | [] | Train |
35,745 | 31 | Title: A Food Recommender System in Academic Environments Based on Machine Learning Models
Abstract: Background: People's health depends on the use of proper diet as an important factor. Today, with the increasing mechanization of people's lives, proper eating habits and behaviors are neglected. On the other hand, food... | [] | Validation |
35,746 | 31 | Title: Attentive Graph-based Text-aware Preference Modeling for Top-N Recommendation
Abstract: Textual data are commonly used as auxiliary information for modeling user preference nowadays. While many prior works utilize user reviews for rating prediction, few focus on top-N recommendation, and even few try to incorpor... | [
42202
] | Train |
35,747 | 6 | Title: Towards Real Smart Apps: Investigating Human-AI Interactions in Smartphone On-Device AI Apps
Abstract: With the emergence of deep learning techniques, smartphone apps are now embedded on-device AI features for enabling advanced tasks like speech translation, to attract users and increase market competitiveness. ... | [] | Validation |
35,748 | 16 | Title: Occlusion Robust 3D Human Pose Estimation with StridedPoseGraphFormer and Data Augmentation
Abstract: Occlusion is an omnipresent challenge in 3D human pose estimation (HPE). In spite of the large amount of research dedicated to 3D HPE, only a limited number of studies address the problem of occlusion explicitly... | [] | Train |
35,749 | 16 | Title: Towards General Visual-Linguistic Face Forgery Detection
Abstract: Deepfakes are realistic face manipulations that can pose serious threats to security, privacy, and trust. Existing methods mostly treat this task as binary classification, which uses digital labels or mask signals to train the detection model. We... | [] | Validation |
35,750 | 24 | Title: Time-space-frequency feature Fusion for 3-channel motor imagery classification
Abstract: Low-channel EEG devices are crucial for portable and entertainment applications. However, the low spatial resolution of EEG presents challenges in decoding low-channel motor imagery. This study introduces TSFF-Net, a novel n... | [
7662
] | Test |
35,751 | 22 | Title: Deterministic stream-sampling for probabilistic programming: semantics and verification
Abstract: Probabilistic programming languages rely fundamentally on some notion of sampling, and this is doubly true for probabilistic programming languages which perform Bayesian inference using Monte Carlo techniques. Verif... | [] | Train |
35,752 | 24 | Title: Private GANs, Revisited
Abstract: We show that the canonical approach for training differentially private GANs -- updating the discriminator with differentially private stochastic gradient descent (DPSGD) -- can yield significantly improved results after modifications to training. Existing instantiations of this... | [
41178
] | Train |
35,753 | 27 | Title: Task-Oriented Prediction and Communication Co-Design for Haptic Communications
Abstract: Prediction has recently been considered as a promising approach to meet low-latency and high-reliability requirements in long-distance haptic communications. However, most of the existing methods did not take features of tas... | [] | Train |
35,754 | 16 | Title: Spherical Transformer for LiDAR-Based 3D Recognition
Abstract: LiDAR-based 3D point cloud recognition has benefited various applications. Without specially considering the LiDAR point distribution, most current methods suffer from information disconnection and limited receptive field, especially for the sparse d... | [
23617,
21096,
45999,
21241,
27099,
45087
] | Validation |
35,755 | 31 | Title: An Approximate Algorithm for Maximum Inner Product Search over Streaming Sparse Vectors
Abstract: Maximum Inner Product Search or top-k retrieval on sparse vectors is well-understood in information retrieval, with a number of mature algorithms that solve it exactly. However, all existing algorithms are tailored ... | [
43258
] | Train |
35,756 | 4 | Title: ExploreADV: Towards exploratory attack for Neural Networks
Abstract: iii | [] | Train |
35,757 | 16 | Title: Locality-Aware Hyperspectral Classification
Abstract: Hyperspectral image classification is gaining popularity for high-precision vision tasks in remote sensing, thanks to their ability to capture visual information available in a wide continuum of spectra. Researchers have been working on automating Hyperspectr... | [
33782
] | Test |
35,758 | 10 | Title: PECAN: Leveraging Policy Ensemble for Context-Aware Zero-Shot Human-AI Coordination
Abstract: Zero-shot human-AI coordination holds the promise of collaborating with humans without human data. Prevailing methods try to train the ego agent with a population of partners via self-play. However, these methods suffer... | [
11856,
37342
] | Train |
35,759 | 24 | Title: Estimation of minimum miscibility pressure (MMP) in impure/pure N2 based enhanced oil recovery process: A comparative study of statistical and machine learning algorithms
Abstract: Minimum miscibility pressure (MMP) prediction plays an important role in design and operation of nitrogen based enhanced oil recover... | [] | Train |
35,760 | 27 | Title: fpgaDDS: An Intra-FPGA Data Distribution Service for ROS 2 Robotics Applications
Abstract: Modern computing platforms for robotics applications comprise a set of heterogeneous elements, e.g., multi-core CPUs, embedded GPUs, and FPGAs. FPGAs are reprogrammable hardware devices that allow for fast and energy-effic... | [
5554
] | Test |
35,761 | 16 | Title: PMatch: Paired Masked Image Modeling for Dense Geometric Matching
Abstract: Dense geometric matching determines the dense pixel-wise correspondence between a source and support image corresponding to the same 3D structure. Prior works employ an encoder of transformer blocks to correlate the two-frame features. H... | [
42522,
31988,
43284
] | Test |
35,762 | 30 | Title: Mathematical and Linguistic Characterization of Orhan Pamuk's Nobel Works
Abstract: In this study, Nobel Laureate Orhan Pamuk's works are chosen as examples of Turkish literature. By counting the number of letters and words in his texts, we find it possible to study his works statistically. It has been known tha... | [] | Validation |
35,763 | 30 | Title: Back Translation for Speech-to-text Translation Without Transcripts
Abstract: The success of end-to-end speech-to-text translation (ST) is often achieved by utilizing source transcripts, e.g., by pre-training with automatic speech recognition (ASR) and machine translation (MT) tasks, or by introducing additional... | [
21872,
14481,
20853
] | Validation |
35,764 | 16 | Title: Mimetic Initialization of Self-Attention Layers
Abstract: It is notoriously difficult to train Transformers on small datasets; typically, large pre-trained models are instead used as the starting point. We explore the weights of such pre-trained Transformers (particularly for vision) to attempt to find reasons f... | [
5258,
39566
] | Test |
35,765 | 4 | Title: A Feature Set of Small Size for the PDF Malware Detection
Abstract: Machine learning (ML)-based malware detection systems are becoming increasingly important as malware threats increase and get more sophisticated. PDF files are often used as vectors for phishing attacks because they are widely regarded as trustw... | [
20275,
16319
] | Train |
35,766 | 16 | Title: A Unified BEV Model for Joint Learning of 3D Local Features and Overlap Estimation
Abstract: Pairwise point cloud registration is a critical task for many applications, which heavily depends on finding correct correspondences from the two point clouds. However, the low overlap between input point clouds causes t... | [
8235
] | Train |
35,767 | 24 | Title: Provable Offline Reinforcement Learning with Human Feedback
Abstract: In this paper, we investigate the problem of offline reinforcement learning with human feedback where feedback is available in the form of preference between trajectory pairs rather than explicit rewards. Our proposed algorithm consists of two... | [
16321,
46149
] | Validation |
35,768 | 24 | Title: Diffusion probabilistic models enhance variational autoencoder for crystal structure generative modeling
Abstract: The crystal diffusion variational autoencoder (CDVAE) is a machine learning model that leverages score matching to generate realistic crystal structures that preserve crystal symmetry. In this study... | [
12378
] | Validation |
35,769 | 28 | Title: A Deterministic Construction of a Large Distance Code from the Wozencraft Ensemble
Abstract: We present an explicit construction of a sequence of rate $1/2$ Wozencraft ensemble codes (over any fixed finite field $\mathbb{F}_q$) that achieve minimum distance $\Omega(\sqrt{k})$ where $k$ is the message length. The... | [] | Test |
35,770 | 27 | Title: Physically Plausible Full-Body Hand-Object Interaction Synthesis
Abstract: We propose a physics-based method for synthesizing dexterous hand-object interactions in a full-body setting. While recent advancements have addressed specific facets of human-object interactions, a comprehensive physics-based approach re... | [
578,
43203,
27782,
5288,
28018,
40788,
15221
] | Train |
35,771 | 30 | Title: Syllable Subword Tokens for Open Vocabulary Speech Recognition in Malayalam
Abstract: In a hybrid automatic speech recognition (ASR) system, a pronunciation lexicon (PL) and a language model (LM) are essential to correctly retrieve spoken word sequences. Being a morphologically complex language, the vocabulary o... | [] | Train |
35,772 | 36 | Title: Multi-Weighted Reachability Games
Abstract: We study two-player multi-weighted reachability games played on a finite directed graph, where an agent, called P1, has several quantitative reachability objectives that he wants to optimize against an antagonistic environment, called P2. In this setting, we ask what c... | [] | Test |
35,773 | 16 | Title: Function-Consistent Feature Distillation
Abstract: Feature distillation makes the student mimic the intermediate features of the teacher. Nearly all existing feature-distillation methods use L2 distance or its slight variants as the distance metric between teacher and student features. However, while L2 distance... | [
36577,
44182
] | Validation |
35,774 | 16 | Title: Localized Questions in Medical Visual Question Answering
Abstract: Visual Question Answering (VQA) models aim to answer natural language questions about given images. Due to its ability to ask questions that differ from those used when training the model, medical VQA has received substantial attention in recent ... | [] | Validation |
35,775 | 27 | Title: Towards Biomechanics-Aware Design of a Steerable Drilling Robot for Spinal Fixation Procedures with Flexible Pedicle Screws
Abstract: Towards reducing the failure rate of spinal fixation surgical procedures in osteoporotic patients, we propose a unique biomechanically-aware framework for the design of a novel co... | [] | Train |
35,776 | 24 | Title: Machine learning for discovering laws of nature
Abstract: Based on Darwin's natural selection, we developed"machine scientists"to discover the laws of nature by learning from raw data."Machine scientists"construct physical theories by applying a logic tree (state Decision Tree) and a value tree (observation Func... | [] | Train |
35,777 | 24 | Title: Random-Set Convolutional Neural Network (RS-CNN) for Epistemic Deep Learning
Abstract: Machine learning is increasingly deployed in safety-critical domains where robustness against adversarial attacks is crucial and erroneous predictions could lead to potentially catastrophic consequences. This highlights the ne... | [] | Validation |
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