node_id int64 0 76.9k | label int64 0 39 | text stringlengths 13 124k | neighbors listlengths 0 3.32k | mask stringclasses 4
values |
|---|---|---|---|---|
27,878 | 27 | Title: Leaving the Lines Behind: Vision-Based Crop Row Exit for Agricultural Robot Navigation
Abstract: Usage of purely vision based solutions for row switching is not well explored in existing vision based crop row navigation frameworks. This method only uses RGB images for local feature matching based visual feedback... | [
6622
] | Train |
27,879 | 10 | Title: Cumulative Reasoning with Large Language Models
Abstract: While language models are powerful and versatile, they often fail to address highly complex problems. This is because solving complex problems requires deliberate thinking, which has been only minimally guided during training. In this paper, we propose a ... | [
40610,
13700,
33220,
22636,
23885,
19727,
29396,
38102,
41053
] | Train |
27,880 | 30 | Title: Large Language Models
Abstract: Artificial intelligence is making spectacular progress, and one of the best examples is the development of large language models (LLMs) such as OpenAI's GPT series. In these lectures, written for readers with a background in mathematics or physics, we give a brief history and surv... | [
7936,
19720,
34336,
40610,
37931,
4270,
9775,
38834,
58,
1854,
32319,
38338,
15227,
13510,
44999,
7758,
9934,
27899,
4180,
22103,
30423,
45529,
18906,
21724,
41053,
29792,
482,
45923,
11761,
26485,
34426,
16891,
43388
] | Validation |
27,881 | 16 | Title: AI on the Road: A Comprehensive Analysis of Traffic Accidents and Accident Detection System in Smart Cities
Abstract: Accident detection and traffic analysis is a critical component of smart city and autonomous transportation systems that can reduce accident frequency, severity and improve overall traffic manage... | [] | Test |
27,882 | 16 | Title: Instate: Predicting the State of Residence From Last Name
Abstract: India has twenty-two official languages. Serving such a diverse language base is a challenge for survey statisticians, call center operators, software developers, and other such service providers. To help provide better services to different lan... | [] | Test |
27,883 | 16 | Title: Spatio-Temporal Branching for Motion Prediction using Motion Increments
Abstract: Human motion prediction (HMP) has emerged as a popular research topic due to its diverse applications, but it remains a challenging task due to the stochastic and aperiodic nature of future poses. Traditional methods rely on hand-c... | [
30424
] | Train |
27,884 | 16 | Title: 4DRVO-Net: Deep 4D Radar-Visual Odometry Using Multi-Modal and Multi-Scale Adaptive Fusion
Abstract: Four-dimensional (4D) radar--visual odometry (4DRVO) integrates complementary information from 4D radar and cameras, making it an attractive solution for achieving accurate and robust pose estimation. However, 4D... | [
38472,
6828
] | Train |
27,885 | 24 | Title: Collaborative Development of NLP models
Abstract: Despite substantial advancements, Natural Language Processing (NLP) models often require post-training adjustments to enforce business rules, rectify undesired behavior, and align with user values. These adjustments involve operationalizing"concepts"--dictating d... | [
40874
] | Test |
27,886 | 16 | Title: CoopInit: Initializing Generative Adversarial Networks via Cooperative Learning
Abstract: Numerous research efforts have been made to stabilize the training of the Generative Adversarial Networks (GANs), such as through regularization and architecture design. However, we identify the instability can also arise f... | [
34257
] | Validation |
27,887 | 24 | Title: GaussianMLR: Learning Implicit Class Significance via Calibrated Multi-Label Ranking
Abstract: Existing multi-label frameworks only exploit the information deduced from the bipartition of the labels into a positive and negative set. Therefore, they do not benefit from the ranking order between positive labels, w... | [] | Train |
27,888 | 3 | Title: From Utilitarian to Rawlsian Designs for Algorithmic Fairness
Abstract: There is a lack of consensus within the literature as to how `fairness' of algorithmic systems can be measured, and different metrics can often be at odds. In this paper, we approach this task by drawing on the ethical frameworks of utilitar... | [] | Train |
27,889 | 23 | Title: Tutorial on the Executable ASM Specification of the AB Protocol and Comparison with TLA+
Abstract: The main aim of this report is to provide an introductory tutorial on the Abstract State Machines (ASM) specification method for software engineering to an audience already familiar with the Temporal Logic of Actio... | [] | Train |
27,890 | 30 | Title: Conclusion-based Counter-Argument Generation
Abstract: In real-world debates, the most common way to counter an argument is to reason against its main point, that is, its conclusion. Existing work on the automatic generation of natural language counter-arguments does not address the relation to the conclusion, p... | [] | Validation |
27,891 | 28 | Title: MLE-based Device Activity Detection under Rician Fading for Massive Grant-free Access with Perfect and Imperfect Synchronization
Abstract: Most existing studies on massive grant-free access, proposed to support massive machine-type communications (mMTC) for the Internet of things (IoT), assume Rayleigh fading an... | [
6244
] | Train |
27,892 | 16 | Title: Self-Supervised Learning of Gait-Based Biomarkers
Abstract: Markerless motion capture (MMC) is revolutionizing gait analysis in clinical settings by making it more accessible, raising the question of how to extract the most clinically meaningful information from gait data. In multiple fields ranging from image p... | [
24816,
1865
] | Test |
27,893 | 24 | Title: Predicting protein variants with equivariant graph neural networks
Abstract: Pre-trained models have been successful in many protein engineering tasks. Most notably, sequence-based models have achieved state-of-the-art performance on protein fitness prediction while structure-based models have been used experime... | [] | Test |
27,894 | 1 | Title: Towards Better Quality of Experience in HTTP Adaptive Streaming
Abstract: HTTP Adaptive Streaming (HAS) is nowadays a popular solution for multimedia delivery. The novelty of HAS lies in the possibility of continuously adapting the streaming session to current network conditions, facilitated by Adaptive Bitrate ... | [] | Train |
27,895 | 16 | Title: FaceCLIPNeRF: Text-driven 3D Face Manipulation using Deformable Neural Radiance Fields
Abstract: As recent advances in Neural Radiance Fields (NeRF) have enabled high-fidelity 3D face reconstruction and novel view synthesis, its manipulation also became an essential task in 3D vision. However, existing manipulat... | [] | Test |
27,896 | 24 | Title: Byzantine-Robust Learning on Heterogeneous Data via Gradient Splitting
Abstract: Federated learning has exhibited vulnerabilities to Byzantine attacks, where the Byzantine attackers can send arbitrary gradients to a central server to destroy the convergence and performance of the global model. A wealth of robust... | [
30320,
22540
] | Train |
27,897 | 16 | Title: Learning Kernel-Modulated Neural Representation for Efficient Light Field Compression
Abstract: Light field is a type of image data that captures the 3D scene information by recording light rays emitted from a scene at various orientations. It offers a more immersive perception than classic 2D images but at the ... | [
712,
8173
] | Train |
27,898 | 16 | Title: RePaint-NeRF: NeRF Editting via Semantic Masks and Diffusion Models
Abstract: The emergence of Neural Radiance Fields (NeRF) has promoted the development of synthesized high-fidelity views of the intricate real world. However, it is still a very demanding task to repaint the content in NeRF. In this paper, we pr... | [
11505
] | Validation |
27,899 | 24 | Title: Tighter Bounds on the Expressivity of Transformer Encoders
Abstract: Characterizing neural networks in terms of better-understood formal systems has the potential to yield new insights into the power and limitations of these networks. Doing so for transformers remains an active area of research. Bhattamishra and... | [
23656,
11633,
27880
] | Test |
27,900 | 23 | Title: Towards More Realistic Evaluation for Neural Test Oracle Generation
Abstract: Unit testing has become an essential practice during software development and maintenance. Effective unit tests can help guard and improve software quality but require a substantial amount of time and effort to write and maintain. A un... | [
3448
] | Validation |
27,901 | 36 | Title: An Axiomatic Characterization of CFMMs and Equivalence to Prediction Markets
Abstract: Constant-function market makers (CFMMs), such as Uniswap, are automated exchanges offering trades among a set of assets. We study their technical relationship to another class of automated market makers, cost-function predicti... | [] | Test |
27,902 | 30 | Title: Are Multilingual LLMs Culturally-Diverse Reasoners? An Investigation into Multicultural Proverbs and Sayings
Abstract: Large language models (LLMs) are highly adept at question answering and reasoning tasks, but when reasoning in situational context, human expectations vary depending on the relevant cultural com... | [
387,
19460,
22219,
30029,
37553,
41619,
39061,
1944,
43641
] | Test |
27,903 | 16 | Title: CARD: Semantic Segmentation with Efficient Class-Aware Regularized Decoder
Abstract: Semantic segmentation has recently achieved notable advances by exploiting"class-level"contextual information during learning. However, these approaches simply concatenate class-level information to pixel features to boost the p... | [
29873
] | Validation |
27,904 | 16 | Title: Neural Spectro-polarimetric Fields
Abstract: Modeling the spatial radiance distribution of light rays in a scene has been extensively explored for applications, including view synthesis. Spectrum and polarization, the wave properties of light, are often neglected due to their integration into three RGB spectral ... | [] | Test |
27,905 | 30 | Title: Generating Efficient Training Data via LLM-based Attribute Manipulation
Abstract: In this paper, we propose a novel method, Chain-of-Thoughts Attribute Manipulation (CoTAM), to guide few-shot learning by carefully crafted data from Large Language Models (LLMs). The main idea is to create data with changes only i... | [
33220,
33172,
43327
] | Train |
27,906 | 28 | Title: On Decoder Ties for the Binary Symmetric Channel with Arbitrarily Distributed Input
Abstract: The error probability of block codes sent under a non-uniform input distribution over the memoryless binary symmetric channel (BSC) and decoded via the maximum a posteriori (MAP) decoding rule is investigated. It is pro... | [] | Test |
27,907 | 16 | Title: Defect Detection in Synthetic Fibre Ropes using Detectron2 Framework
Abstract: Fibre ropes with the latest technology have emerged as an appealing alternative to steel ropes for offshore industries due to their lightweight and high tensile strength. At the same time, frequent inspection of these ropes is essenti... | [] | Train |
27,908 | 24 | Title: Interaction-Aware Personalized Vehicle Trajectory Prediction Using Temporal Graph Neural Networks
Abstract: Accurate prediction of vehicle trajectories is vital for advanced driver assistance systems and autonomous vehicles. Existing methods mainly rely on generic trajectory predictions derived from large datase... | [] | Train |
27,909 | 28 | Title: Vehicle Cameras Guide mmWave Beams: Approach and Real-World V2V Demonstration
Abstract: Accurately aligning millimeter-wave (mmWave) and terahertz (THz) narrow beams is essential to satisfy reliability and high data rates of 5G and beyond wireless communication systems. However, achieving this objective is diffi... | [] | Train |
27,910 | 16 | Title: LInKs"Lifting Independent Keypoints"-- Partial Pose Lifting for Occlusion Handling with Improved Accuracy in 2D-3D Human Pose Estimation
Abstract: We present LInKs, a novel unsupervised learning method to recover 3D human poses from 2D kinematic skeletons obtained from a single image, even when occlusions are pr... | [] | Train |
27,911 | 16 | Title: Analysis over vision-based models for pedestrian action anticipation
Abstract: Anticipating human actions in front of autonomous vehicles is a challenging task. Several papers have recently proposed model architectures to address this problem by combining multiple input features to predict pedestrian crossing ac... | [] | Train |
27,912 | 4 | Title: Disarming Steganography Attacks Inside Neural Network Models
Abstract: Similar to the revolution of open source code sharing, Artificial Intelligence (AI) model sharing is gaining increased popularity. However, the fast adaptation in the industry, lack of awareness, and ability to exploit the models make them si... | [
34640
] | Train |
27,913 | 16 | Title: Unsupervised Cross-domain Pulmonary Nodule Detection without Source Data
Abstract: Cross domain pulmonary nodule detection suffers from performance degradation due to large shift of data distributions between the source and target domain. Besides, considering the high cost of medical data annotation, it is often... | [] | Train |
27,914 | 10 | Title: Chit-Chat or Deep Talk: Prompt Engineering for Process Mining
Abstract: This research investigates the application of Large Language Models (LLMs) to augment conversational agents in process mining, aiming to tackle its inherent complexity and diverse skill requirements. While LLM advancements present novel oppo... | [
15301
] | Train |
27,915 | 30 | Title: Pre-Finetuning for Few-Shot Emotional Speech Recognition
Abstract: Speech models have long been known to overfit individual speakers for many classification tasks. This leads to poor generalization in settings where the speakers are out-of-domain or out-of-distribution, as is common in production environments. W... | [
29206
] | Test |
27,916 | 27 | Title: PourIt!: Weakly-supervised Liquid Perception from a Single Image for Visual Closed-Loop Robotic Pouring
Abstract: Liquid perception is critical for robotic pouring tasks. It usually requires the robust visual detection of flowing liquid. However, while recent works have shown promising results in liquid percepti... | [] | Train |
27,917 | 8 | Title: Secure Middlebox-Assisted QUIC
Abstract: While the evolution of the Internet was driven by the end-to-end model, it has been challenged by many flavors of middleboxes over the decades. Yet, the basic idea is still fundamental: reliability and security are usually realized end-to-end, where the strong trend towar... | [] | Train |
27,918 | 24 | Title: MVMTnet: A Multi-variate Multi-modal Transformer for Multi-class Classification of Cardiac Irregularities Using ECG Waveforms and Clinical Notes
Abstract: Deep learning provides an excellent avenue for optimizing diagnosis and patient monitoring for clinical-based applications, which can critically enhance the r... | [] | Train |
27,919 | 30 | Title: ViHOS: Hate Speech Spans Detection for Vietnamese
Abstract: The rise in hateful and offensive language directed at other users is one of the adverse side effects of the increased use of social networking platforms. This could make it difficult for human moderators to review tagged comments filtered by classifica... | [] | Train |
27,920 | 1 | Title: Interpretability of Machine Learning: Recent Advances and Future Prospects
Abstract: The proliferation of machine learning (ML) has drawn unprecedented interest in the study of various multimedia contents such as text, image, audio and video, among others. Consequently, understanding and learning ML-based repres... | [
9578
] | Validation |
27,921 | 16 | Title: SAFER: Situation Aware Facial Emotion Recognition
Abstract: In this paper, we present SAFER, a novel system for emotion recognition from facial expressions. It employs state-of-the-art deep learning techniques to extract various features from facial images and incorporates contextual information, such as backgro... | [] | Validation |
27,922 | 16 | Title: GeoVLN: Learning Geometry-Enhanced Visual Representation with Slot Attention for Vision-and-Language Navigation
Abstract: Most existing works solving Room-to-Room VLN problem only utilize RGB images and do not consider local context around candidate views, which lack sufficient visual cues about surrounding envi... | [] | Validation |
27,923 | 16 | Title: Multi-modal Fake News Detection on Social Media via Multi-grained Information Fusion
Abstract: The easy sharing of multimedia content on social media has caused a rapid dissemination of fake news, which threatens society’s stability and security. Therefore, fake news detection has garnered extensive research int... | [] | Train |
27,924 | 10 | Title: Beyond Bias and Compliance: Towards Individual Agency and Plurality of Ethics in AI
Abstract: AI ethics is an emerging field with multiple, competing narratives about how to best solve the problem of building human values into machines. Two major approaches are focused on bias and compliance, respectively. But n... | [
20993
] | Train |
27,925 | 30 | Title: Tackling Hallucinations in Neural Chart Summarization
Abstract: Hallucinations in text generation occur when the system produces text that is not grounded in the input. In this work, we tackle the problem of hallucinations in neural chart summarization. Our analysis shows that the target side of chart summarizat... | [] | Train |
27,926 | 3 | Title: The Ethics of AI Value Chains: An Approach for Integrating and Expanding AI Ethics Research, Practice, and Governance
Abstract: Recent criticisms of AI ethics principles and practices have indicated a need for new approaches to AI ethics that can account for and intervene in the design, development, use, and gov... | [
44097,
453,
32127,
40586,
18764,
17279
] | Train |
27,927 | 24 | Title: Multimodal and multicontrast image fusion via deep generative models
Abstract: nan | [
2618
] | Train |
27,928 | 16 | Title: Event Detection in Football using Graph Convolutional Networks
Abstract: The massive growth of data collection in sports has opened numerous avenues for professional teams and media houses to gain insights from this data. The data collected includes per frame player and ball trajectories, and event annotations s... | [] | Test |
27,929 | 10 | Title: Prevention is better than cure: a case study of the abnormalities detection in the chest
Abstract: Prevention is better than cure. This old truth applies not only to the prevention of diseases but also to the prevention of issues with AI models used in medicine. The source of malfunctioning of predictive models ... | [] | Train |
27,930 | 24 | Title: Efficient Surrogate Models for Materials Science Simulations: Machine Learning-based Prediction of Microstructure Properties
Abstract: Determining, understanding, and predicting the so-called structure-property relation is an important task in many scientific disciplines, such as chemistry, biology, meteorology,... | [
24478
] | Train |
27,931 | 16 | Title: A Novel Confidence Induced Class Activation Mapping for MRI Brain Tumor Segmentation
Abstract: Magnetic resonance imaging (MRI) is a commonly used technique for brain tumor segmentation, which is critical for evaluating patients and planning treatment. To make the labeling process less laborious and dependent on... | [] | Validation |
27,932 | 10 | Title: Efficient Computation of General Modules for ALC Ontologies (Extended Version)
Abstract: We present a method for extracting general modules for ontologies formulated in the description logic ALC. A module for an ontology is an ideally substantially smaller ontology that preserves all entailments for a user-speci... | [] | Test |
27,933 | 5 | Title: Optimal Eventual Byzantine Agreement Protocols with Omission Failures
Abstract: Work on optimal protocols for Eventual Byzantine Agreement (EBA)---protocols that, in a precise sense, decide as soon as possible in every run and guarantee that all nonfaulty agents decide on the same value---has focused on full-inf... | [] | Validation |
27,934 | 24 | Title: ABS-SGD: A Delayed Synchronous Stochastic Gradient Descent Algorithm with Adaptive Batch Size for Heterogeneous GPU Clusters
Abstract: As the size of models and datasets grows, it has become increasingly common to train models in parallel. However, existing distributed stochastic gradient descent (SGD) algorithm... | [
39598
] | Train |
27,935 | 30 | Title: Voice-Based Conversational Agents and Knowledge Graphs for Improving News Search in Assisted Living
Abstract: As the healthcare sector faces major challenges, such as aging populations, staff shortages, and common chronic diseases, delivering high-quality care to individuals has become very difficult. Conversati... | [
26637
] | Train |
27,936 | 30 | Title: RepoBench: Benchmarking Repository-Level Code Auto-Completion Systems
Abstract: Large Language Models (LLMs) have greatly advanced code auto-completion systems, with a potential for substantial productivity enhancements for developers. However, current benchmarks mainly focus on single-file tasks, leaving an ass... | [
34208,
32450,
13700,
17191,
28809,
19885,
29455,
15952,
33490,
14869,
5077
] | Train |
27,937 | 24 | Title: Quantile Online Learning for Semiconductor Failure Analysis
Abstract: With high device integration density and evolving sophisticated device structures in semiconductor chips, detecting defects becomes elusive and complex. Conventionally, machine learning (ML)-guided failure analysis is performed with offline ba... | [] | Train |
27,938 | 27 | Title: PAg-NeRF: Towards fast and efficient end-to-end panoptic 3D representations for agricultural robotics
Abstract: Precise scene understanding is key for most robot monitoring and intervention tasks in agriculture. In this work we present PAg-NeRF which is a novel NeRF-based system that enables 3D panoptic scene un... | [
10575
] | Test |
27,939 | 31 | Title: Breaking the Curse of Quality Saturation with User-Centric Ranking
Abstract: A key puzzle in search, ads, and recommendation is that the ranking model can only utilize a small portion of the vastly available user interaction data. As a result, increasing data volume, model size, or computation FLOPs will quickly... | [] | Train |
27,940 | 27 | Title: Bioinspired soft robotics: How do we learn from creatures?
Abstract: Soft robotics has opened a unique path to flexibility and environmental adaptability, learning from nature and reproducing biological behaviors. Nature implies answers for how to apply robots to real life. To find out how we learn from creature... | [] | Train |
27,941 | 13 | Title: Analyzing the Interaction Between Down-Sampling and Selection
Abstract: Genetic programming systems often use large training sets to evaluate the quality of candidate solutions for selection. However, evaluating populations on large training sets can be computationally expensive. Down-sampling training sets has ... | [
12818,
32788
] | Train |
27,942 | 16 | Title: Feature-based Image Matching for Identifying Individual Kākā
Abstract: This report investigates an unsupervised, feature-based image matching pipeline for the novel application of identifying individual k\=ak\=a. Applied with a similarity network for clustering, this addresses a weakness of current supervised ap... | [] | Train |
27,943 | 16 | Title: STOA-VLP: Spatial-Temporal Modeling of Object and Action for Video-Language Pre-training
Abstract: Although large-scale video-language pre-training models, which usually build a global alignment between the video and the text, have achieved remarkable progress on various downstream tasks, the idea of adopting fi... | [] | Train |
27,944 | 30 | Title: Large Language Models in Ambulatory Devices for Home Health Diagnostics: A case study of Sickle Cell Anemia Management
Abstract: This study investigates the potential of an ambulatory device that incorporates Large Language Models (LLMs) in cadence with other specialized ML models to assess anemia severity in si... | [
38811
] | Train |
27,945 | 30 | Title: Large language models can rate news outlet credibility
Abstract: Although large language models (LLMs) have shown exceptional performance in various natural language processing tasks, they are prone to hallucinations. State-of-the-art chatbots, such as the new Bing, attempt to mitigate this issue by gathering in... | [
12128,
39680,
9518,
18638,
11476,
39413,
20822,
42901,
39642,
12602,
1917
] | Train |
27,946 | 27 | Title: Communicative Robot Signals: Presenting a New Typology for Human-Robot Interaction
Abstract: We present a new typology for classifying signals from robots when they communicate with humans. For inspiration, we use ethology, the study of animal behaviour and previous efforts from literature as guides in defining ... | [] | Validation |
27,947 | 31 | Title: Towards the design of user-centric strategy recommendation systems for collaborative Human-AI tasks
Abstract: Artificial Intelligence is being employed by humans to collaboratively solve complicated tasks for search and rescue, manufacturing, etc. Efficient teamwork can be achieved by understanding user preference... | [] | Test |
27,948 | 25 | Title: Automatic Detection of Reactions to Music via Earable Sensing
Abstract: We present GrooveMeter, a novel system that automatically detects vocal and motion reactions to music via earable sensing and supports music engagement-aware applications. To this end, we use smart earbuds as sensing devices, which are alrea... | [] | Test |
27,949 | 16 | Title: From CAD models to soft point cloud labels: An automatic annotation pipeline for cheaply supervised 3D semantic segmentation
Abstract: We propose a fully automatic annotation scheme that takes a raw 3D point cloud with a set of fitted CAD models as input and outputs convincing point-wise labels that can be used ... | [] | Train |
27,950 | 24 | Title: Low-dimensional data-based surrogate model of a continuum-mechanical musculoskeletal system based on non-intrusive model order reduction
Abstract: nan | [
23047
] | Train |
27,951 | 16 | Title: Deep Multiple Instance Learning with Distance-Aware Self-Attention
Abstract: Traditional supervised learning tasks require a label for every instance in the training set, but in many real-world applications, labels are only available for collections (bags) of instances. This problem setting, known as multiple in... | [
17689,
31434,
9325
] | Test |
27,952 | 4 | Title: Poisoning Attacks in Federated Edge Learning for Digital Twin 6G-enabled IoTs: An Anticipatory Study
Abstract: Federated edge learning can be essential in supporting privacy-preserving, artificial intelligence (AI)-enabled activities in digital twin 6G-enabled Internet of Things (IoT) environments. However, we n... | [
1981
] | Validation |
27,953 | 24 | Title: A Graphical Approach to Document Layout Analysis
Abstract: Document layout analysis (DLA) is the task of detecting the distinct, semantic content within a document and correctly classifying these items into an appropriate category (e.g., text, title, figure). DLA pipelines enable users to convert documents into ... | [] | Test |
27,954 | 22 | Title: Covering All the Bases: Type-Based Verification of Test Input Generators
Abstract: Test input generators are an important part of property-based testing (PBT) frameworks. Because PBT is intended to test deep semantic and structural properties of a program, the outputs produced by these generators can be complex ... | [] | Train |
27,955 | 13 | Title: Towards Self-adaptive Mutation in Evolutionary Multi-Objective Algorithms
Abstract: Parameter control has succeeded in accelerating the convergence process of evolutionary algorithms. While empirical and theoretical studies have shed light on the behavior of algorithms for single-objective optimization, little i... | [] | Train |
27,956 | 16 | Title: Joint 2D-3D Multi-Task Learning on Cityscapes-3D: 3D Detection, Segmentation, and Depth Estimation
Abstract: This report serves as a supplementary document for TaskPrompter, detailing its implementation on a new joint 2D-3D multi-task learning benchmark based on Cityscapes-3D. TaskPrompter presents an innovative... | [] | Train |
27,957 | 24 | Title: Heterogeneous Domain Adaptation with Positive and Unlabeled Data
Abstract: Heterogeneous unsupervised domain adaptation (HUDA) is the most challenging domain adaptation setting where the feature space differs between source and target domains, and the target domain has only unlabeled data. Existing HUDA methods ... | [] | Validation |
27,958 | 23 | Title: Case studies of development of verified programs with Dafny for accessibility assessment
Abstract: Formal verification techniques aim at formally proving the correctness of a computer program with respect to a formal specification, but the expertise and effort required for applying formal specification and verif... | [] | Train |
27,959 | 30 | Title: CSTS: Conditional Semantic Textual Similarity
Abstract: Semantic textual similarity (STS) has been a cornerstone task in NLP that measures the degree of similarity between a pair of sentences, with applications in information retrieval, question answering, and embedding methods. However, it is an inherently ambi... | [] | Validation |
27,960 | 27 | Title: Using Large Language Models for Interpreting Autonomous Robots Behaviors
Abstract: The deployment of autonomous robots in various domains has raised significant concerns about their trustworthiness and accountability. This study explores the potential of Large Language Models (LLMs) in analyzing ROS 2 logs gener... | [
33220
] | Train |
27,961 | 28 | Title: New Euclidean and Hermitian Self-Dual Cyclic Codes with Square-Root-Like Minimum Distances
Abstract: Binary self-dual codes with large minimum distances, such as the extended Hamming code and the Golay code, are fascinating objects in the coding theory. They are closely related to sporadic simple groups, lattice... | [
29805,
24526,
19415
] | Train |
27,962 | 16 | Title: TriFormer: A Multi-modal Transformer Framework For Mild Cognitive Impairment Conversion Prediction
Abstract: The prediction of mild cognitive impairment (MCI) conversion to Alzheimer’s disease (AD) is important for early treatment to prevent or slow the progression of AD. To accurately predict the MCI conversion... | [] | Test |
27,963 | 24 | Title: MetaPhysiCa: OOD Robustness in Physics-informed Machine Learning
Abstract: A fundamental challenge in physics-informed machine learning (PIML) is the design of robust PIML methods for out-of-distribution (OOD) forecasting tasks. These OOD tasks require learning-to-learn from observations of the same (ODE) dynami... | [] | Test |
27,964 | 16 | Title: Can Pre-trained Vision and Language Models Answer Visual Information-Seeking Questions?
Abstract: Large language models have demonstrated an emergent capability in answering knowledge intensive questions. With recent progress on web-scale visual and language pre-training, do these models also understand how to a... | [
7936,
10624,
25155,
45155,
19433,
8733
] | Test |
27,965 | 30 | Title: Made of Steel? Learning Plausible Materials for Components in the Vehicle Repair Domain
Abstract: We propose a novel approach to learn domain-specific plausible materials for components in the vehicle repair domain by probing Pretrained Language Models (PLMs) in a cloze task style setting to overcome the lack of... | [] | Test |
27,966 | 25 | Title: Towards Automated Animal Density Estimation with Acoustic Spatial Capture-Recapture
Abstract: Passive acoustic monitoring can be an effective way of monitoring wildlife populations that are acoustically active but difficult to survey visually. Digital recorders allow surveyors to gather large volumes of data at ... | [] | Test |
27,967 | 25 | Title: M2-CTTS: End-to-End Multi-scale Multi-modal Conversational Text-to-Speech Synthesis
Abstract: Conversational text-to-speech (TTS) aims to synthesize speech with proper prosody of reply based on the historical conversation. However, it is still a challenge to comprehensively model the conversation, and a majority... | [] | Train |
27,968 | 16 | Title: Dive into the Resolution Augmentations and Metrics in Low Resolution Face Recognition: A Plain yet Effective New Baseline
Abstract: Although deep learning has significantly improved Face Recognition (FR), dramatic performance deterioration may occur when processing Low Resolution (LR) faces. To alleviate this, a... | [] | Test |
27,969 | 34 | Title: An Alternate Proof of Near-Optimal Light Spanners
Abstract: In 2016, a breakthrough result of Chechik and Wulff-Nilsen [SODA '16] established that every $n$-node graph $G$ has a $(1+\varepsilon)(2k-1)$-spanner of lightness $O_{\varepsilon}(n^{1/k})$, and recent followup work by Le and Solomon [STOC '23] generali... | [
20977,
14246
] | Train |
27,970 | 16 | Title: SDR-GAIN: A High Real-Time Occluded Pedestrian Pose Completion Method for Autonomous Driving
Abstract: To mitigate the challenges arising from partial occlusion in human pose keypoint based pedestrian detection methods , we present a novel pedestrian pose keypoint completion method called the separation and dime... | [] | Test |
27,971 | 6 | Title: The Digital Divide in Process Safety: Quantitative Risk Analysis of Human-AI Collaboration
Abstract: Digital technologies have dramatically accelerated the digital transformation in process industries, boosted new industrial applications, upgraded the production system, and enhanced operational efficiency. In co... | [] | Validation |
27,972 | 30 | Title: ExClaim: Explainable Neural Claim Verification Using Rationalization
Abstract: With the advent of deep learning, text generation language models have improved dramatically, with text at a similar level as human-written text. This can lead to rampant misinformation because content can now be created cheaply and d... | [
23435
] | Train |
27,973 | 30 | Title: HL Dataset: Visually-grounded Description of Scenes, Actions and Rationales
Abstract: Current captioning datasets focus on object-centric captions, describing the visible objects in the image, e.g."people eating food in a park". Although these datasets are useful to evaluate the ability of Vision&Language models... | [
13700,
43847
] | Train |
27,974 | 16 | Title: Sketch Less Face Image Retrieval: A New Challenge
Abstract: In some specific scenarios, face sketch was used to identify a person. However, drawing a complete face sketch often needs skills and takes time, which hinder its widespread applicability in the practice. In this study, we proposed a new task named sket... | [] | Train |
27,975 | 30 | Title: Comparing Intrinsic Gender Bias Evaluation Measures without using Human Annotated Examples
Abstract: Numerous types of social biases have been identified in pre-trained language models (PLMs), and various intrinsic bias evaluation measures have been proposed for quantifying those social biases.Prior works have r... | [] | Train |
27,976 | 4 | Title: Catch Me If You Can: A New Low-Rate DDoS Attack Strategy Disguised by Feint
Abstract: While collaborative systems provide convenience to our lives, they also face many security threats. One of them is the Low-rate Distributed Denial-of-Service (LDDoS) attack, which is a worthy concern. Unlike volumetric DDoS att... | [] | Train |
27,977 | 4 | Title: BERT4ETH: A Pre-trained Transformer for Ethereum Fraud Detection
Abstract: As various forms of fraud proliferate on Ethereum, it is imperative to safeguard against these malicious activities to protect susceptible users from being victimized. While current studies solely rely on graph-based fraud detection appro... | [
21562
] | Test |
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