node_id int64 0 76.9k | label int64 0 39 | text stringlengths 13 124k | neighbors listlengths 0 3.32k | mask stringclasses 4
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|---|---|---|---|---|
41,778 | 32 | Title: OpenLB User Guide: Associated with Release 1.6 of the Code
Abstract: OpenLB is an object-oriented implementation of LBM. It is the first implementation of a generic platform for LBM programming, which is shared with the open source community (GPLv2). Since the first release in 2007, the code has been continuousl... | [] | Test |
41,779 | 10 | Title: Stable Normative Explanations: From Argumentation to Deontic Logic
Abstract: This paper examines how a notion of stable explanation developed elsewhere in Defeasible Logic can be expressed in the context of formal argumentation. With this done, we discuss the deontic meaning of this reconstruction and show how t... | [] | Train |
41,780 | 27 | Title: Robots That Ask For Help: Uncertainty Alignment for Large Language Model Planners
Abstract: Large language models (LLMs) exhibit a wide range of promising capabilities -- from step-by-step planning to commonsense reasoning -- that may provide utility for robots, but remain prone to confidently hallucinated predi... | [
10876,
12896,
26562,
38083,
7657,
39114,
29711,
33455,
44623,
8084,
4340,
2549,
29396,
13016,
35418,
6140
] | Test |
41,781 | 8 | Title: SDN enabled Mobility Management in Multi Radio Access Technology 5G networks: A Survey
Abstract: This paper presents a survey of the state of the art in research related to handovers employing software defined networking (SDN) enabled architectures, serving multiple coexisting radio access technologies. As the i... | [] | Train |
41,782 | 30 | Title: Okapi: Instruction-tuned Large Language Models in Multiple Languages with Reinforcement Learning from Human Feedback
Abstract: A key technology for the development of large language models (LLMs) involves instruction tuning that helps align the models' responses with human expectations to realize impressive lear... | [
38849,
13700,
25892,
10598,
21739,
44173,
41619,
16890,
35580,
1789,
43930
] | Validation |
41,783 | 16 | Title: Regularization of polynomial networks for image recognition
Abstract: Deep Neural Networks (DNNs) have obtained impressive performance across tasks, however they still remain as black boxes, e.g., hard to theoretically analyze. At the same time, Polynomial Networks (PNs) have emerged as an alternative method wit... | [
36469
] | Test |
41,784 | 36 | Title: Value of Information in Games with Multiple Strategic Information Providers
Abstract: In the classical communication setting multiple senders having access to the same source of information and transmitting it over channel(s) to a receiver in general leads to a decrease in estimation error at the receiver as com... | [] | Validation |
41,785 | 16 | Title: An Extensible Multimodal Multi-task Object Dataset with Materials
Abstract: We present EMMa, an Extensible, Multimodal dataset of Amazon product listings that contains rich Material annotations. It contains more than 2.8 million objects, each with image(s), listing text, mass, price, product ratings, and positio... | [] | Train |
41,786 | 30 | Title: Facilitating Contrastive Learning of Discourse Relational Senses by Exploiting the Hierarchy of Sense Relations
Abstract: Implicit discourse relation recognition is a challenging task that involves identifying the sense or senses that hold between two adjacent spans of text, in the absense of an explicit connect... | [
6061
] | Train |
41,787 | 24 | Title: Self-Attention in Colors: Another Take on Encoding Graph Structure in Transformers
Abstract: We introduce a novel self-attention mechanism, which we call CSA (Chromatic Self-Attention), which extends the notion of attention scores to attention _filters_, independently modulating the feature channels. We showcase... | [] | Validation |
41,788 | 6 | Title: Digitally-Enhanced Dog Behavioral Testing: Getting Help from the Machine
Abstract: The assessment of behavioral traits in dogs is a well-studied challenge due to its many practical applications such as selection for breeding, prediction of working aptitude, chances of being adopted, etc. Most methods for assessi... | [] | Train |
41,789 | 10 | Title: The mapKurator System: A Complete Pipeline for Extracting and Linking Text from Historical Maps
Abstract: Scanned historical maps in libraries and archives are valuable repositories of geographic data that often do not exist elsewhere. Despite the potential of machine learning tools like the Google Vision APIs f... | [] | Validation |
41,790 | 16 | Title: Style Transfer for 2D Talking Head Animation
Abstract: Audio-driven talking head animation is a challenging research topic with many real-world applications. Recent works have focused on creating photo-realistic 2D animation, while learning different talking or singing styles remains an open problem. In this pap... | [
1540,
26702
] | Test |
41,791 | 16 | Title: Learning Stage-wise GANs for Whistle Extraction in Time-Frequency Spectrograms
Abstract: Whistle contour extraction aims to derive animal whistles from time-frequency spectrograms as polylines. For toothed whales, whistle extraction results can serve as the basis for analyzing animal abundance, species identity,... | [
25169
] | Validation |
41,792 | 24 | Title: Fulfilling Formal Specifications ASAP by Model-free Reinforcement Learning
Abstract: We propose a model-free reinforcement learning solution, namely the ASAP-Phi framework, to encourage an agent to fulfill a formal specification ASAP. The framework leverages a piece-wise reward function that assigns quantitative... | [] | Train |
41,793 | 17 | Title: Compact Phase Histograms for Guided Exploration of Periodicity
Abstract: Periodically occurring accumulations of events or measured values are present in many time-dependent datasets and can be of interest for analyses. The frequency of such periodic behavior is often not known in advance, making it difficult to... | [] | Train |
41,794 | 3 | Title: Significance of anonymity and privacy in improving inclusivity and diversity in Higher Education Learning Environments
Abstract: Interactions between lecturers and students are the key to learning in the higher education environment. In this paper, the investigation pursues two different contexts to understand t... | [] | Train |
41,795 | 30 | Title: Zero- and Few-Shot Prompting with LLMs: A Comparative Study with Fine-tuned Models for Bangla Sentiment Analysis
Abstract: The rapid expansion of the digital world has propelled sentiment analysis into a critical tool across diverse sectors such as marketing, politics, customer service, and healthcare. While the... | [
40192,
20226,
33220,
19083,
24216,
2104
] | Train |
41,796 | 16 | Title: Extracting the Brain-like Representation by an Improved Self-Organizing Map for Image Classification
Abstract: Backpropagation-based supervised learning has achieved great success in computer vision tasks. However, its biological plausibility is always controversial. Recently, the bio-inspired Hebbian learning r... | [] | Train |
41,797 | 31 | Title: Leveraging Deep Learning Techniques on Collaborative Filtering Recommender Systems
Abstract: With the exponentially increasing volume of online data, searching and finding required information have become an extensive and time-consuming task. Recommender Systems as a subclass of information retrieval and decisio... | [] | Train |
41,798 | 16 | Title: Few-shot $\mathbf{1/a}$ Anomalies Feedback : Damage Vision Mining Opportunity and Embedding Feature Imbalance
Abstract: Over the past decade, previous balanced datasets have been used to advance deep learning algorithms for industrial applications. In urban infrastructures and living environments, damage data mi... | [
19153,
23314,
33220,
23545
] | Train |
41,799 | 28 | Title: A Novel Two-Layer Codebook Based Near-Field Beam Training for Intelligent Reflecting Surface
Abstract: In this paper, we study the codebook-based near-field beam training for intelligent reflecting surfaces (IRSs) aided wireless system. In the considered model, the near-field beam training is critical to focus s... | [] | Train |
41,800 | 28 | Title: Low-Complexity Dynamic Directional Modulation: Vulnerability and Information Leakage
Abstract: In this paper, the privacy of wireless transmissions is improved through the use of an efficient technique termed dynamic directional modulation (DDM), and is subsequently assessed in terms of the measure of informatio... | [] | Train |
41,801 | 27 | Title: A Little Bit Attention Is All You Need for Person Re-Identification
Abstract: Person re-identification plays a key role in applications where a mobile robot needs to track its users over a long period of time, even if they are partially unobserved for some time, in order to follow them or be available on demand.... | [] | Test |
41,802 | 24 | Title: Enhancing Deep Learning Models through Tensorization: A Comprehensive Survey and Framework
Abstract: The burgeoning growth of public domain data and the increasing complexity of deep learning model architectures have underscored the need for more efficient data representation and analysis techniques. This paper ... | [] | Test |
41,803 | 24 | Title: On Dataset Transferability in Active Learning for Transformers
Abstract: Active learning (AL) aims to reduce labeling costs by querying the examples most beneficial for model learning. While the effectiveness of AL for fine-tuning transformer-based pre-trained language models (PLMs) has been demonstrated, it is ... | [] | Validation |
41,804 | 30 | Title: CMLM-CSE: Based on Conditional MLM Contrastive Learning for Sentence Embeddings
Abstract: Traditional comparative learning sentence embedding directly uses the encoder to extract sentence features, and then passes in the comparative loss function for learning. However, this method pays too much attention to the ... | [] | Train |
41,805 | 16 | Title: DLIP: Distilling Language-Image Pre-training
Abstract: Vision-Language Pre-training (VLP) shows remarkable progress with the assistance of extremely heavy parameters, which challenges deployment in real applications. Knowledge distillation is well recognized as the essential procedure in model compression. Howev... | [
10624,
13345,
37987,
33220
] | Test |
41,806 | 25 | Title: A meta learning scheme for fast accent domain expansion in Mandarin speech recognition
Abstract: Spoken languages show significant variation across mandarin and accent. Despite the high performance of mandarin automatic speech recognition (ASR), accent ASR is still a challenge task. In this paper, we introduce m... | [] | Validation |
41,807 | 16 | Title: Interpretable Visual Question Answering via Reasoning Supervision
Abstract: Transformer-based architectures have recently demonstrated remarkable performance in the Visual Question Answering (VQA) task. However, such models are likely to disregard crucial visual cues and often rely on multimodal shortcuts and in... | [] | Validation |
41,808 | 30 | Title: FATRER: Full-Attention Topic Regularizer for Accurate and Robust Conversational Emotion Recognition
Abstract: This paper concentrates on the understanding of interlocutors' emotions evoked in conversational utterances. Previous studies in this literature mainly focus on more accurate emotional predictions, while... | [] | Test |
41,809 | 24 | Title: Active Learning-based Domain Adaptive Localized Polynomial Chaos Expansion
Abstract: The paper presents a novel methodology to build surrogate models of complicated functions by an active learning-based sequential decomposition of the input random space and construction of localized polynomial chaos expansions, ... | [
40315
] | Train |
41,810 | 26 | Title: Node Feature Augmentation Vitaminizes Network Alignment
Abstract: Network alignment (NA) is the task of discovering node correspondences across multiple networks. Although NA methods have achieved remarkable success in a myriad of scenarios, their effectiveness is not without additional information such as prior... | [] | Train |
41,811 | 10 | Title: Extension of the Blackboard Architecture with Common Properties and Generic Rules
Abstract: The Blackboard Architecture provides a mechanism for embodying data, decision making and actuation. Its versatility has been demonstrated across a wide number of application areas. However, it lacks the capability to dire... | [] | Train |
41,812 | 16 | Title: Anomaly Detection with Conditioned Denoising Diffusion Models
Abstract: Reconstruction-based methods have struggled to achieve competitive performance on anomaly detection. In this paper, we introduce Denoising Diffusion Anomaly Detection (DDAD). We propose a novel denoising process for image reconstruction cond... | [] | Train |
41,813 | 24 | Title: DEJA VU: Continual Model Generalization For Unseen Domains
Abstract: In real-world applications, deep learning models often run in non-stationary environments where the target data distribution continually shifts over time. There have been numerous domain adaptation (DA) methods in both online and offline modes ... | [
22080,
13773,
40591
] | Train |
41,814 | 24 | Title: VDM++: Variational Diffusion Models for High-Quality Synthesis
Abstract: To achieve the highest perceptual quality, state-of-the-art diffusion models are optimized with objectives that typically look very different from the maximum likelihood and the Evidence Lower Bound (ELBO) objectives. In this work, we revea... | [
10872,
12515
] | Train |
41,815 | 24 | Title: Feature Noise Boosts DNN Generalization under Label Noise
Abstract: The presence of label noise in the training data has a profound impact on the generalization of deep neural networks (DNNs). In this study, we introduce and theoretically demonstrate a simple feature noise method, which directly adds noise to th... | [] | Validation |
41,816 | 16 | Title: Living in a Material World: Learning Material Properties from Full-Waveform Flash Lidar Data for Semantic Segmentation
Abstract: Advances in lidar technology have made the collection of 3D point clouds fast and easy. While most lidar sensors return per-point intensity (or reflectance) values along with range mea... | [] | Validation |
41,817 | 8 | Title: Efficiently Using Polar Codes in 5G Base Stations to Enhance Rural Connectivity
Abstract: 5G connectivity has become essential to integrate rural communities into the broader digital economy and support critical applications like remote education and remote surgery. A major hindrance to expanding rural broadband... | [] | Validation |
41,818 | 16 | Title: DiffCR: A Fast Conditional Diffusion Framework for Cloud Removal from Optical Satellite Images
Abstract: Optical satellite images are a critical data source; however, cloud cover often compromises their quality, hindering image applications and analysis. Consequently, effectively removing clouds from optical sat... | [
35494,
351,
37802,
37182,
40671
] | Test |
41,819 | 8 | Title: Packet Reception Probability: Packets That You Can't Decode Can Help Keep You Safe
Abstract: This paper provides a robust, scalable Bluetooth Low-Energy (BLE) based indoor localization solution using commodity hardware. While WiFi-based indoor localization has been widely studied, BLE has emerged a key technolog... | [] | Test |
41,820 | 6 | Title: Knowing Who Knows What: Designing Socially Assistive Robots with Transactive Memory System
Abstract: Transactive Memory System (TMS) is a group theory that describes how communication can enable the combination of individual minds into a group. While this theory has been extensively studied in human-human groups... | [] | Test |
41,821 | 16 | Title: Self-Supervised Learning of Object Segmentation from Unlabeled RGB-D Videos
Abstract: This work proposes a self-supervised learning system for segmenting rigid objects in RGB images. The proposed pipeline is trained on unlabeled RGB-D videos of static objects, which can be captured with a camera carried by a mob... | [] | Train |
41,822 | 24 | Title: Regression with Sensor Data Containing Incomplete Observations
Abstract: This paper addresses a regression problem in which output label values are the results of sensing the magnitude of a phenomenon. A low value of such labels can mean either that the actual magnitude of the phenomenon was low or that the sens... | [] | Train |
41,823 | 2 | Title: A Curry-Howard Correspondence for Linear, Reversible Computation
Abstract: In this paper, we present a linear and reversible programming language with inductives types and recursion. The semantics of the languages is based on pattern-matching; we show how ensuring syntactical exhaustivity and non-overlapping of ... | [] | Train |
41,824 | 16 | Title: ExplainFix: Explainable spatially fixed deep networks
Abstract: Is there an initialization for deep networks that requires no learning? ExplainFix adopts two design principles: the “fixed filters” principle that all spatial filter weights of convolutional neural networks can be fixed at initialization and never ... | [] | Train |
41,825 | 8 | Title: Overview of the Evaluation Methods for the Maximum EMF Exposure in 5G Networks
Abstract: Instantaneous measurements of the electromagnetic field (EMF) strength do not reflect the maximum exposure levels possible in a given location. An extrapolation factor needs to be applied to the measurements before comparing... | [] | Train |
41,826 | 8 | Title: Vehicle as a Service (VaaS): Leverage Vehicles to Build Service Networks and Capabilities for Smart Cities
Abstract: Smart cities demand resources for rich immersive sensing, ubiquitous communications, powerful computing, large storage, and high intelligence (SCCSI) to support various kinds of applications, such... | [
12232,
20378,
26018
] | Validation |
41,827 | 16 | Title: SemPPL: Predicting pseudo-labels for better contrastive representations
Abstract: Learning from large amounts of unsupervised data and a small amount of supervision is an important open problem in computer vision. We propose a new semi-supervised learning method, Semantic Positives via Pseudo-Labels (SemPPL), th... | [
11344,
35433,
29787,
26372
] | Validation |
41,828 | 30 | Title: Towards Better Instruction Following Language Models for Chinese: Investigating the Impact of Training Data and Evaluation
Abstract: Recently, significant public efforts have been directed towards developing low-cost models with capabilities akin to ChatGPT, thereby fostering the growth of open-source conversati... | [
12128,
13345,
33220,
13700,
4658,
22547,
41941,
35580
] | Train |
41,829 | 11 | Title: Fast Decision Support for Air Traffic Management at Urban Air Mobility Vertiports using Graph Learning
Abstract: Urban Air Mobility (UAM) promises a new dimension to decongested, safe, and fast travel in urban and suburban hubs. These UAM aircraft are conceived to operate from small airports called vertiports ea... | [
36968,
6826
] | Train |
41,830 | 16 | Title: A Laplace-inspired Distribution on SO(3) for Probabilistic Rotation Estimation
Abstract: Estimating the 3DoF rotation from a single RGB image is an important yet challenging problem. Probabilistic rotation regression has raised more and more attention with the benefit of expressing uncertainty information along ... | [
2731,
26620
] | Validation |
41,831 | 4 | Title: Honesty is the Best Policy: On the Accuracy of Apple Privacy Labels Compared to Apps' Privacy Policies
Abstract: Apple introduced \textit{privacy labels} in Dec. 2020 as a way for developers to report the privacy behaviors of their apps. While Apple does not validate labels, they do also require developers to pr... | [] | Train |
41,832 | 2 | Title: How Much Partiality Is Needed for a Theory of Computability?
Abstract: Partiality is a natural phenomenon in computability that we cannot get around, So, the question is whether we can give the areas where partiality occurs, that is, where non-termination happens more structure. In this paper we consider functio... | [] | Train |
41,833 | 8 | Title: On Batching Acknowledgements in C-V2X Services
Abstract: Cellular Vehicle-to-Everything (C-V2X) is a frontier in the evolution of distributed communication introduced in 3GPP release 14 towards advanced use cases. While research efforts continue to optimize the accessible bandwidth for transportation ecosystem, ... | [] | Validation |
41,834 | 30 | Title: NusaWrites: Constructing High-Quality Corpora for Underrepresented and Extremely Low-Resource Languages
Abstract: Democratizing access to natural language processing (NLP) technology is crucial, especially for underrepresented and extremely low-resource languages. Previous research has focused on developing labe... | [] | Train |
41,835 | 25 | Title: PLCMOS - a data-driven non-intrusive metric for the evaluation of packet loss concealment algorithms
Abstract: Speech quality assessment is a problem for every researcher working on models that produce or process speech. Human subjective ratings, the gold standard in speech quality assessment, are expensive and ... | [] | Train |
41,836 | 30 | Title: CTRLStruct: Dialogue Structure Learning for Open-Domain Response Generation
Abstract: Dialogue structure discovery is essential in dialogue generation. Well-structured topic flow can leverage background information and predict future topics to help generate controllable and explainable responses. However, most p... | [] | Train |
41,837 | 20 | Title: Geometric Spanning Trees Minimizing the Wiener Index
Abstract: The Wiener index of a network, introduced by the chemist Harry Wiener, is the sum of distances between all pairs of nodes in the network. This index, originally used in chemical graph representations of the non-hydrogen atoms of a molecule, is consid... | [] | Train |
41,838 | 30 | Title: Empirical Sufficiency Lower Bounds for Language Modeling with Locally-Bootstrapped Semantic Structures
Abstract: In this work we build upon negative results from an attempt at language modeling with predicted semantic structure, in order to establish empirical lower bounds on what could have made the attempt suc... | [
36631
] | Train |
41,839 | 6 | Title: Toward General Design Principles for Generative AI Applications 130-144
Abstract: Generative AI technologies are growing in power, utility, and use. As generative technologies are being incorporated into mainstream applications, there is a need for guidance on how to design those applications to foster productiv... | [
30752,
8715,
37195,
30421,
30261,
37627
] | Validation |
41,840 | 2 | Title: Representable and diagonally representable weakening relation algebras
Abstract: A binary relation defined on a poset is a weakening relation if the partial order acts as a both-sided compositional identity. This is motivated by the weakening rule in sequent calculi and closely related to models of relevance log... | [] | Train |
41,841 | 31 | Title: New Metrics to Encourage Innovation and Diversity in Information Retrieval Approaches
Abstract: In evaluation campaigns, participants often explore variations of popular, state-of-the-art baselines as a low-risk strategy to achieve competitive results. While effective, this can lead to local"hill climbing"rather... | [] | Validation |
41,842 | 30 | Title: Evaluating Picture Description Speech for Dementia Detection using Image-text Alignment
Abstract: Using picture description speech for dementia detection has been studied for 30 years. Despite the long history, previous models focus on identifying the differences in speech patterns between healthy subjects and p... | [
10624,
30243,
13564
] | Train |
41,843 | 30 | Title: Automated stance detection in complex topics and small languages: the challenging case of immigration in polarizing news media
Abstract: Automated stance detection and related machine learning methods can provide useful insights for media monitoring and academic research. Many of these approaches require annotat... | [
12128,
39642,
23359
] | Train |
41,844 | 25 | Title: Msanii: High Fidelity Music Synthesis on a Shoestring Budget
Abstract: In this paper, we present Msanii, a novel diffusion-based model for synthesizing long-context, high-fidelity music efficiently. Our model combines the expressiveness of mel spectrograms, the generative capabilities of diffusion models, and th... | [
35800
] | Train |
41,845 | 24 | Title: Computing Expected Motif Counts for Exchangeable Graph Generative Models
Abstract: Estimating the expected value of a graph statistic is an important inference task for using and learning graph models. This note presents a scalable estimation procedure for expected motif counts, a widely used type of graph stati... | [] | Train |
41,846 | 27 | Title: Proprioception and reaction for walking among entanglements
Abstract: Entanglements like vines and branches in natural settings or cords and pipes in human spaces prevent mobile robots from accessing many environments. Legged robots should be effective in these settings, and more so than wheeled or tracked platf... | [] | Validation |
41,847 | 16 | Title: Structural Restricted Boltzmann Machine for image denoising and classification
Abstract: Restricted Boltzmann Machines are generative models that consist of a layer of hidden variables connected to another layer of visible units, and they are used to model the distribution over visible variables. In order to gai... | [] | Test |
41,848 | 30 | Title: Define, Evaluate, and Improve Task-Oriented Cognitive Capabilities for Instruction Generation Models
Abstract: Recent work studies the cognitive capabilities of language models through psychological tests designed for humans. While these studies are helpful for understanding the general capabilities of these mod... | [
13510,
19720,
36528,
29396,
21401
] | Test |
41,849 | 16 | Title: Robust Localization with Visual-Inertial Odometry Constraints for Markerless Mobile AR
Abstract: Visual Inertial Odometry (VIO) is an essential component of modern Augmented Reality (AR) applications. However, VIO only tracks the relative pose of the device, leading to drift over time. Absolute pose estimation m... | [
41561,
32892
] | Train |
41,850 | 6 | Title: PhysioKit: Open-source, Low-cost Physiological Computing Toolkit for Single and Multi-user Studies
Abstract: The proliferation of physiological sensors opens new opportunities to explore interactions, conduct experiments and evaluate the user experience with continuous monitoring of bodily functions. Commercial ... | [] | Train |
41,851 | 10 | Title: Predicting Visit Cost of Obstructive Sleep Apnea Using Electronic Healthcare Records With Transformer
Abstract: Background: Obstructive sleep apnea (OSA) is growing increasingly prevalent in many countries as obesity rises. Sufficient, effective treatment of OSA entails high social and financial costs for health... | [
10224
] | Train |
41,852 | 24 | Title: Non-Asymptotic Lower Bounds For Training Data Reconstruction
Abstract: Mathematical notions of privacy, such as differential privacy, are often stated as probabilistic guarantees that are difficult to interpret. It is imperative, however, that the implications of data sharing be effectively communicated to the d... | [] | Train |
41,853 | 27 | Title: An Integrated Visual System for Unmanned Aerial Vehicles Tracking and Landing on the Ground Vehicles
Abstract: The vision of unmanned aerial vehicles is very significant for UAV-related applications such as search and rescue, landing on a moving platform, etc. In this work, we have developed an integrated system... | [] | Test |
41,854 | 13 | Title: Neural Influence Estimator: Towards Real-time Solutions to Influence Blocking Maximization
Abstract: Real-time solutions to the influence blocking maximization (IBM) problems are crucial for promptly containing the spread of misinformation. However, achieving this goal is non-trivial, mainly because assessing th... | [] | Train |
41,855 | 3 | Title: Detecting the Presence of COVID-19 Vaccination Hesitancy from South African Twitter Data Using Machine Learning
Abstract: Very few social media studies have been done on South African user-generated content during the COVID-19 pandemic and even fewer using hand-labelling over automated methods. Vaccination is a ... | [] | Train |
41,856 | 27 | Title: Optimal Allocation of Many Robot Guards for Sweep-Line Coverage
Abstract: We study the problem of allocating many mobile robots for the execution of a pre-defined sweep schedule in a known two-dimensional environment, with applications toward search and rescue, coverage, surveillance, monitoring, pursuit-evasion... | [] | Validation |
41,857 | 16 | Title: Efficient 3D Articulated Human Generation with Layered Surface Volumes
Abstract: Access to high-quality and diverse 3D articulated digital human assets is crucial in various applications, ranging from virtual reality to social platforms. Generative approaches, such as 3D generative adversarial networks (GANs), a... | [
17024,
2005
] | Train |
41,858 | 16 | Title: Hierarchical Semi-Supervised Learning Framework for Surgical Gesture Segmentation and Recognition Based on Multi-Modality Data
Abstract: Segmenting and recognizing surgical operation trajectories into distinct, meaningful gestures is a critical preliminary step in surgical workflow analysis for robot-assisted su... | [] | Validation |
41,859 | 28 | Title: Performance Analysis of NOMA-RIS aided Integrated Navigation and Communication (INAC) Networks
Abstract: Satellite communication constitutes a promising solution for the sixth generation (6G) wireless networks in terms of providing global communication services. In order to provide a cost-effective satellite net... | [] | Train |
41,860 | 30 | Title: Emotion and Sentiment Guided Paraphrasing
Abstract: Paraphrase generation, a.k.a. paraphrasing, is a common and important task in natural language processing. Emotional paraphrasing, which changes the emotion embodied in a piece of text while preserving its meaning, has many potential applications, including mod... | [
5452
] | Train |
41,861 | 24 | Title: Towards Rigorous Design of OoD Detectors
Abstract: Out-of-distribution (OoD) detection techniques are instrumental for safety-related neural networks. We are arguing, however, that current performance-oriented OoD detection techniques geared towards matching metrics such as expected calibration error, are not su... | [] | Train |
41,862 | 2 | Title: Calculational Proofs in ACL2s
Abstract: Teaching college students how to write rigorous proofs is a critical objective in courses that introduce formal reasoning. Over the course of several years, we have developed a mechanically-checkable style of calculational reasoning that we used to teach over a thousand fr... | [] | Train |
41,863 | 30 | Title: CEIL: A General Classification-Enhanced Iterative Learning Framework for Text Clustering
Abstract: Text clustering, as one of the most fundamental challenges in unsupervised learning, aims at grouping semantically similar text segments without relying on human annotations. With the rapid development of deep lear... | [] | Validation |
41,864 | 26 | Title: On Manipulating Weight Predictions in Signed Weighted Networks
Abstract: Adversarial social network analysis studies how graphs can be rewired or otherwise manipulated to evade social network analysis tools. While there is ample literature on manipulating simple networks, more sophisticated network types are muc... | [] | Test |
41,865 | 30 | Title: Meeting Action Item Detection with Regularized Context Modeling
Abstract: Meetings are increasingly important for collaborations. Action items in meeting transcripts are crucial for managing post-meeting to-do tasks, which usually are summarized laboriously. The Action Item Detection task aims to automatically d... | [] | Validation |
41,866 | 10 | Title: Neural Operator: Is data all you need to model the world? An insight into the impact of Physics Informed Machine Learning
Abstract: Numerical approximations of partial differential equations (PDEs) are routinely employed to formulate the solution of physics, engineering and mathematical problems involving functi... | [
14070
] | Train |
41,867 | 24 | Title: GraSS: Contrastive Learning with Gradient Guided Sampling Strategy for Remote Sensing Image Semantic Segmentation
Abstract: Self-supervised contrastive learning (SSCL) has achieved significant milestones in remote sensing image (RSI) understanding. Its essence lies in designing an unsupervised instance discrimin... | [] | Test |
41,868 | 27 | Title: Resolution Complete In-Place Object Retrieval given Known Object Models
Abstract: This work proposes a robot task planning framework for retrieving a target object in a confined workspace among multiple stacked objects that obstruct the target. The robot can use prehensile picking and in-workspace placing action... | [] | Train |
41,869 | 24 | Title: MaxCorrMGNN: A Multi-Graph Neural Network Framework for Generalized Multimodal Fusion of Medical Data for Outcome Prediction
Abstract: With the emergence of multimodal electronic health records, the evidence for an outcome may be captured across multiple modalities ranging from clinical to imaging and genomic da... | [] | Train |
41,870 | 27 | Title: Semantically-enhanced Deep Collision Prediction for Autonomous Navigation using Aerial Robots
Abstract: This paper contributes a novel and modularized learning-based method for aerial robots navigating cluttered environments containing hard-to-perceive thin obstacles without assuming access to a map or the full ... | [
35850
] | Train |
41,871 | 31 | Title: Perspectives on Large Language Models for Relevance Judgment
Abstract: When asked, large language models~(LLMs) like ChatGPT claim that they can assist with relevance judgments but it is not clear whether automated judgments can reliably be used in evaluations of retrieval systems. In this perspectives paper, we... | [
23846,
42791,
42598,
10165,
39642,
3804,
45181
] | Train |
41,872 | 24 | Title: iPINNs: Incremental learning for Physics-informed neural networks
Abstract: Physics-informed neural networks (PINNs) have recently become a powerful tool for solving partial differential equations (PDEs). However, finding a set of neural network parameters that lead to fulfilling a PDE can be challenging and non... | [
29379,
34847
] | Validation |
41,873 | 30 | Title: Extracting Psychological Indicators Using Question Answering
Abstract: In this work, we propose a method for extracting text spans that may indicate one of the BIG5 psychological traits using a question-answering task with examples that have no answer for the asked question. We utilized the RoBERTa model fine-tu... | [
13700
] | Train |
41,874 | 16 | Title: Cones 2: Customizable Image Synthesis with Multiple Subjects
Abstract: Synthesizing images with user-specified subjects has received growing attention due to its practical applications. Despite the recent success in single subject customization, existing algorithms suffer from high training cost and low success ... | [
20514,
30402,
24550,
16103,
11820,
15983,
24624,
20435,
22995,
34074,
43867
] | Train |
41,875 | 16 | Title: Multiscale Residual Learning of Graph Convolutional Sequence Chunks for Human Motion Prediction
Abstract: A new method is proposed for human motion prediction by learning temporal and spatial dependencies. Recently, multiscale graphs have been developed to model the human body at higher abstraction levels, resul... | [] | Train |
41,876 | 16 | Title: Unsupervised augmentation optimization for few-shot medical image segmentation
Abstract: The augmentation parameters matter to few-shot semantic segmentation since they directly affect the training outcome by feeding the networks with varying perturbated samples. However, searching optimal augmentation parameter... | [] | Train |
41,877 | 30 | Title: DisCoCat for Donkey Sentences
Abstract: We demonstrate how to parse Geach's Donkey sentences in a compositional distributional model of meaning. We build on previous work on the DisCoCat (Distributional Compositional Categorical) framework, including extensions that model discourse, determiners, and relative pro... | [] | Train |
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