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272689762 | 2409.09844 | 2024-09-15 | A Benchmark Dataset with Larger Context for Non-Factoid Question Answering over Islamic Text | Accessing and comprehending religious texts, particularly the Quran (the sacred scripture of Islam) and Ahadith (the corpus of the sayings or traditions of the Prophet Muhammad), in today's digital era necessitates efficient and accurate Question-Answering (QA) systems. Yet, the scarcity of QA systems tailored specific... | [
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272689891 | 2409.09821 | 2024-09-15 | Forward Propagation of Low Discrepancy Through McKean-Vlasov Dynamics: From QMC to MLQMC | This work develops a particle system addressing the approximation of McKean-Vlasov stochastic differential equations (SDEs). The novelty of the approach lies in involving low discrepancy sequences nontrivially in the construction of a particle system with coupled noise and initial conditions. Weak convergence for SDEs ... | [
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272690125 | 2409.09875 | 2024-09-15 | Scaling Continuous Kernels with Sparse Fourier Domain Learning | We address three key challenges in learning continuous kernel representations: computational efficiency, parameter efficiency, and spectral bias. Continuous kernels have shown significant potential, but their practical adoption is often limited by high computational and memory demands. Additionally, these methods are p... | [
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270370669 | 2409.09568 | 2024-09-15 | Thesis proposal: Are We Losing Textual Diversity to Natural Language Processing? | This thesis argues that the currently widely used Natural Language Processing algorithms possibly have various limitations related to the properties of the texts they handle and produce. With the wide adoption of these tools in rapid progress, we must ask what these limitations are and what are the possible implication... | [
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272690198 | 2409.09687 | 2024-09-15 | Training Safe Neural Networks with Global SDP Bounds | This paper presents a novel approach to training neural networks with formal safety guarantees using semidefinite programming (SDP) for verification. Our method focuses on verifying safety over large, high-dimensional input regions, addressing limitations of existing techniques that focus on adversarial robustness boun... | [
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272689938 | 2409.09832 | 2024-09-15 | Template-based Multi-Domain Face Recognition | Despite the remarkable performance of deep neural networks for face detection and recognition tasks in the visible spectrum, their performance on more challenging non-visible domains is comparatively still lacking. While significant research has been done in the fields of domain adaptation and domain generalization, in... | [
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272690225 | 2409.09714 | 2024-09-15 | Pre-Training for 3D Hand Pose Estimation with Contrastive Learning on Large-Scale Hand Images in the Wild | We present a contrastive learning framework based on in-the-wild hand images tailored for pre-training 3D hand pose estimators, dubbed HandCLR. Pre-training on large-scale images achieves promising results in various tasks, but prior 3D hand pose pre-training methods have not fully utilized the potential of diverse han... | [
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272689309 | 2409.09828 | 2024-09-15 | Latent Diffusion Models for Controllable RNA Sequence Generation | This work presents RNAdiffusion, a latent diffusion model for generating and optimizing discrete RNA sequences of variable lengths. RNA is a key intermediary between DNA and protein, exhibiting high sequence diversity and complex three-dimensional structures to support a wide range of functions. We utilize pretrained B... | [
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272689239 | 2409.09566 | 2024-09-15 | Learning Transferable Features for Implicit Neural Representations | Implicit neural representations (INRs) have demonstrated success in a variety of applications, including inverse problems and neural rendering. An INR is typically trained to capture one signal of interest, resulting in learned neural features that are highly attuned to that signal. Assumed to be less generalizable, we... | [
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272690088 | 2409.09610 | 2024-09-15 | TextureDiffusion: Target Prompt Disentangled Editing for Various Texture Transfer | Recently, text-guided image editing has achieved significant success. However, existing methods can only apply simple textures like wood or gold when changing the texture of an object. Complex textures such as cloud or fire pose a challenge. This limitation stems from that the target prompt needs to contain both the in... | [
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272689036 | 2409.09841 | 2024-09-15 | Tracking Virtual Meetings in the Wild: Re-identification in Multi-Participant Virtual Meetings | In recent years, workplaces and educational institutes have widely adopted virtual meeting platforms. This has led to a growing interest in analyzing and extracting insights from these meetings, which requires effective detection and tracking of unique individuals. In practice, there is no standardization in video meet... | [
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272689081 | 2409.09781 | 2024-09-15 | RandALO: Out-of-sample risk estimation in no time flat | Estimating out-of-sample risk for models trained on large high-dimensional datasets is an expensive but essential part of the machine learning process, enabling practitioners to optimally tune hyperparameters. Cross-validation (CV) serves as the de facto standard for risk estimation but poorly trades off high bias ($K$... | [
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272690369 | 2409.09646 | 2024-09-15 | A Simple HMM with Self-Supervised Representations for Phone Segmentation | Despite the recent advance in self-supervised representations, unsupervised phonetic segmentation remains challenging. Most approaches focus on improving phonetic representations with self-supervised learning, with the hope that the improvement can transfer to phonetic segmentation. In this paper, contrary to recent ap... | [
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272690341 | 2409.09659 | 2024-09-15 | Leveraging Open-Source Large Language Models for Native Language Identification | Native Language Identification (NLI) - the task of identifying the native language (L1) of a person based on their writing in the second language (L2) - has applications in forensics, marketing, and second language acquisition. Historically, conventional machine learning approaches that heavily rely on extensive featur... | [
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272689698 | 2409.09570 | 2024-09-15 | MindScape Study: Integrating LLM and Behavioral Sensing for Personalized AI-Driven Journaling Experiences | Mental health concerns are prevalent among college students, highlighting the need for effective interventions that promote self-awareness and holistic well-being. MindScape pioneers a novel approach to AI-powered journaling by integrating passively collected behavioral patterns such as conversational engagement, sleep... | [
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272689566 | 2409.09894 | 2024-09-15 | Estimating Wage Disparities Using Foundation Models | The rise of foundation models marks a paradigm shift in machine learning: instead of training specialized models from scratch, foundation models are first trained on massive datasets before being adapted or fine-tuned to make predictions on smaller datasets. Initially developed for text, foundation models have also exc... | [
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273162856 | 2410.03331 | 2024-09-15 | EmojiHeroVR: A Study on Facial Expression Recognition under Partial Occlusion from Head-Mounted Displays | Emotion recognition promotes the evaluation and enhancement of Virtual Reality (VR) experiences by providing emotional feedback and enabling advanced personalization. However, facial expressions are rarely used to recognize users' emotions, as Head-Mounted Displays (HMDs) occlude the upper half of the face. To address ... | [
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272689548 | 2409.09636 | 2024-09-15 | Towards understanding evolution of science through language model series | We introduce AnnualBERT, a series of language models designed specifically to capture the temporal evolution of scientific text. Deviating from the prevailing paradigms of subword tokenizations and "one model to rule them all", AnnualBERT adopts whole words as tokens and is composed of a base RoBERTa model pretrained f... | [
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272689987 | 2409.09796 | 2024-09-15 | Universal Topology Refinement for Medical Image Segmentation with Polynomial Feature Synthesis | Although existing medical image segmentation methods provide impressive pixel-wise accuracy, they often neglect topological correctness, making their segmentations unusable for many downstream tasks. One option is to retrain such models whilst including a topology-driven loss component. However, this is computationally... | [
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272694343 | 2409.10790 | 2024-09-16 | Model Tells Itself Where to Attend: Faithfulness Meets Automatic Attention Steering | Large language models (LLMs) have demonstrated remarkable performance across various real-world tasks. However, they often struggle to fully comprehend and effectively utilize their input contexts, resulting in responses that are unfaithful or hallucinated. This difficulty increases for contexts that are long or contai... | [
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272689097 | 2409.10203 | 2024-09-16 | Efficient Milling Quality Prediction with Explainable Machine Learning | This paper presents an explainable machine learning (ML) approach for predicting surface roughness in milling. Utilizing a dataset from milling aluminum alloy 2017A, the study employs random forest regression models and feature importance techniques. The key contributions include developing ML models that accurately pr... | [
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272689187 | 2409.10063 | 2024-09-16 | GlobalMapNet: An Online Framework for Vectorized Global HD Map Construction | High-definition (HD) maps are essential for autonomous driving systems. Traditionally, an expensive and labor-intensive pipeline is implemented to construct HD maps, which is limited in scalability. In recent years, crowdsourcing and online mapping have emerged as two alternative methods, but they have limitations resp... | [
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272689274 | 2409.10247 | 2024-09-16 | SOLVR: Submap Oriented LiDAR-Visual Re-Localisation | This paper proposes SOLVR, a unified pipeline for learning based LiDAR-Visual re-localisation which performs place recognition and 6-DoF registration across sensor modalities. We propose a strategy to align the input sensor modalities by leveraging stereo image streams to produce metric depth predictions with pose info... | [
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272689848 | 2409.09921 | 2024-09-16 | Towards Real-Time Generation of Delay-Compensated Video Feeds for Outdoor Mobile Robot Teleoperation | Teleoperation is an important technology to enable supervisors to control agricultural robots remotely. However, environmental factors in dense crop rows and limitations in network infrastructure hinder the reliability of data streamed to teleoperators. These issues result in delayed and variable frame rate video feeds... | [
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272689510 | 2409.10141 | 2024-09-16 | PSHuman: Photorealistic Single-image 3D Human Reconstruction using Cross-Scale Multiview Diffusion and Explicit Remeshing | Detailed and photorealistic 3D human modeling is essential for various applications and has seen tremendous progress. However, full-body reconstruction from a monocular RGB image remains challenging due to the ill-posed nature of the problem and sophisticated clothing topology with self-occlusions. In this paper, we pr... | [
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272710183 | 2409.11441 | 2024-09-16 | Continual Learning of Conjugated Visual Representations through Higher-order Motion Flows | Learning with neural networks from a continuous stream of visual information presents several challenges due to the non-i.i.d. nature of the data. However, it also offers novel opportunities to develop representations that are consistent with the information flow. In this paper we investigate the case of unsupervised c... | [
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272690190 | 2409.10069 | 2024-09-16 | Enhancing Anomaly Detection via Generating Diversified and Hard-to-distinguish Synthetic Anomalies | Unsupervised anomaly detection is a daunting task, as it relies solely on normality patterns from the training data to identify unseen anomalies during testing. Recent approaches have focused on leveraging domain-specific transformations or perturbations to generate synthetic anomalies from normal samples. The objectiv... | [
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272689244 | 2409.09947 | 2024-09-16 | Gaps or Hallucinations? Gazing into Machine-Generated Legal Analysis for Fine-grained Text Evaluations | Large Language Models (LLMs) show promise as a writing aid for professionals performing legal analyses. However, LLMs can often hallucinate in this setting, in ways difficult to recognize by non-professionals and existing text evaluation metrics. In this work, we pose the question: when can machine-generated legal anal... | [
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272690158 | 2409.10481 | 2024-09-16 | Exploring 3D Face Reconstruction and Fusion Methods for Face Verification: A Case-Study in Video Surveillance | 3D face reconstruction (3DFR) algorithms are based on specific assumptions tailored to distinct application scenarios. These assumptions limit their use when acquisition conditions, such as the subject's distance from the camera or the camera's characteristics, are different than expected, as typically happens in video... | [
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272694125 | 2409.10633 | 2024-09-16 | Evaluating the Linguistic Coverage of OpenAlex: An Assessment of Metadata Accuracy and Completeness | Clarivate's Web of Science (WoS) and Elsevier's Scopus have been for decades the main sources of bibliometric information. Although highly curated, these closed, proprietary databases are largely biased towards English-language publications, underestimating the use of other languages in research dissemination. Launched... | [
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272693898 | 2409.10733 | 2024-09-16 | BaTCAVe: Trustworthy Explanations for Robot Behaviors | Black box neural networks are an indispensable part of modern robots. Nevertheless, deploying such high-stakes systems in real-world scenarios poses significant challenges when the stakeholders, such as engineers and legislative bodies, lack insights into the neural networks' decision-making process. Presently, explain... | [
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272527354 | 2409.10258 | 2024-09-16 | Co-Designing Dynamic Mixed Reality Drill Positioning Widgets: A Collaborative Approach with Dentists in a Realistic Setup | Mixed Reality (MR) is proven in the literature to support precise spatial dental drill positioning by superimposing 3D widgets. Despite this, the related knowledge about widget's visual design and interactive user feedback is still limited. Therefore, this study is contributed to by co-designed MR drill tool positionin... | [
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272690069 | 2409.10444 | 2024-09-16 | LLM-as-BT-Planner: Leveraging LLMs for Behavior Tree Generation in Robot Task Planning | Robotic assembly tasks remain an open challenge due to their long horizon nature and complex part relations. Behavior trees (BTs) are increasingly used in robot task planning for their modularity and flexibility, but creating them manually can be effort-intensive. Large language models (LLMs) have recently been applied... | [
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272689972 | 2409.10291 | 2024-09-16 | Anatomical Positional Embeddings | We propose a self-supervised model producing 3D anatomical positional embeddings (APE) of individual medical image voxels. APE encodes voxels' anatomical closeness, i.e., voxels of the same organ or nearby organs always have closer positional embeddings than the voxels of more distant body parts. In contrast to the exi... | [
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272689551 | 2409.10476 | 2024-09-16 | SimInversion: A Simple Framework for Inversion-Based Text-to-Image Editing | Diffusion models demonstrate impressive image generation performance with text guidance. Inspired by the learning process of diffusion, existing images can be edited according to text by DDIM inversion. However, the vanilla DDIM inversion is not optimized for classifier-free guidance and the accumulated error will resu... | [
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272689948 | 2409.10269 | 2024-09-16 | BAFNet: Bilateral Attention Fusion Network for Lightweight Semantic Segmentation of Urban Remote Sensing Images | Large-scale semantic segmentation networks often achieve high performance, while their application can be challenging when faced with limited sample sizes and computational resources. In scenarios with restricted network size and computational complexity, models encounter significant challenges in capturing long-range ... | [
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272693944 | 2409.10670 | 2024-09-16 | Let's Influence Algorithms Together: How Millions of Fans Build Collective Understanding of Algorithms and Organize Coordinated Algorithmic Actions | Previous research pays attention to how users strategically understand and consciously interact with algorithms but mainly focuses on an individual level, making it difficult to explore how users within communities could develop a collective understanding of algorithms and organize collective algorithmic actions. Throu... | [
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272689726 | 2409.09990 | 2024-09-16 | SHIRE: Enhancing Sample Efficiency using Human Intuition in REinforcement Learning | The ability of neural networks to perform robotic perception and control tasks such as depth and optical flow estimation, simultaneous localization and mapping (SLAM), and automatic control has led to their widespread adoption in recent years. Deep Reinforcement Learning has been used extensively in these settings, as ... | [
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