Split (1)

train · 203k rows

node_id int64 0 76.9k	label int64 0 39	text stringlengths 13 124k	neighbors listlengths 0 3.32k	mask stringclasses 4 values
39,878	33	Title: Sweep Complexity Revisited Abstract: nan	[]	Test
39,879	27	Title: Off the Beaten Track: Laterally Weighted Motion Planning for Local Obstacle Avoidance Abstract: We extend the behaviour of generic sample-based motion planners to support obstacle avoidance during long-range path following by introducing a new edge-cost metric paired with a curvilinear planning space. The result...	[]	Train
39,880	16	Title: CMAE-V: Contrastive Masked Autoencoders for Video Action Recognition Abstract: Contrastive Masked Autoencoder (CMAE), as a new self-supervised framework, has shown its potential of learning expressive feature representations in visual image recognition. This work shows that CMAE also trivially generalizes well o...	[]	Train
39,881	30	Title: Actively Supervised Clustering for Open Relation Extraction Abstract: Current clustering-based Open Relation Extraction (OpenRE) methods usually adopt a two-stage pipeline, which simultaneously learns relation representations and assignments in the first stage, then manually labels relation for each cluster.Howe...	[]	Train
39,882	24	Title: Energy Preservation and Stability of Random Filterbanks Abstract: What makes waveform-based deep learning so hard? Despite numerous attempts at training convolutional neural networks (convnets) for filterbank design, they often fail to outperform hand-crafted baselines. This is all the more surprising because th...	[]	Test
39,883	24	Title: Efficient Training of Physics-Informed Neural Networks with Direct Grid Refinement Algorithm Abstract: This research presents the development of an innovative algorithm tailored for the adaptive sampling of residual points within the framework of Physics-Informed Neural Networks (PINNs). By addressing the limita...	[]	Validation
39,884	27	Title: DREAM: Decentralized Real-time Asynchronous Probabilistic Trajectory Planning for Collision-free Multi-Robot Navigation in Cluttered Environments Abstract: Collision-free navigation in cluttered environments with static and dynamic obstacles is essential for many multi-robot tasks. Dynamic obstacles may also be ...	[ 26336, 5802, 2628 ]	Train
39,885	16	Title: HYperbolic Self-Paced Learning for Self-Supervised Skeleton-based Action Representations Abstract: Self-paced learning has been beneficial for tasks where some initial knowledge is available, such as weakly supervised learning and domain adaptation, to select and order the training sample sequence, from easy to ...	[ 1075, 5317 ]	Train
39,886	30	Title: Are Pre-trained Language Models Useful for Model Ensemble in Chinese Grammatical Error Correction? Abstract: Model ensemble has been in widespread use for Grammatical Error Correction (GEC), boosting model performance. We hypothesize that model ensemble based on the perplexity (PPL) computed by pre-trained langu...	[]	Test
39,887	24	Title: Long-Term Hourly Scenario Generation for Correlated Wind and Solar Power combining Variational Autoencoders with Radial Basis Function Kernels Abstract: Accurate generation of realistic future scenarios of renewable energy generation is crucial for long-term planning and operation of electrical systems, especial...	[]	Train
39,888	30	Title: Learnings from Data Integration for Augmented Language Models Abstract: One of the limitations of large language models is that they do not have access to up-to-date, proprietary or personal data. As a result, there are multiple efforts to extend language models with techniques for accessing external data. In th...	[ 634, 30958, 2170 ]	Train
39,889	30	Title: RCOT: Detecting and Rectifying Factual Inconsistency in Reasoning by Reversing Chain-of-Thought Abstract: Large language Models (LLMs) have achieved promising performance on arithmetic reasoning tasks by incorporating step-by-step chain-of-thought (CoT) prompting. However, LLMs face challenges in maintaining fac...	[ 2369, 34339, 13700, 34821, 31431 ]	Train
39,890	27	Title: Automatic Diary Generation System including Information on Joint Experiences between Humans and Robots Abstract: In this study, we propose an automatic diary generation system that uses information from past joint experiences with the aim of increasing the favorability for robots through shared experiences betwe...	[ 41387 ]	Train
39,891	27	Title: On Koopman-based surrogate models for non-holonomic robots Abstract: Data-driven surrogate models of dynamical systems based on the extended dynamic mode decomposition are nowadays well-established and widespread in applications. Further, for non-holonomic systems exhibiting a multiplicative coupling between sta...	[]	Train
39,892	16	Title: Diffusion Models for Imperceptible and Transferable Adversarial Attack Abstract: Many existing adversarial attacks generate $L_p$-norm perturbations on image RGB space. Despite some achievements in transferability and attack success rate, the crafted adversarial examples are easily perceived by human eyes. Towar...	[ 16289, 37254, 16103, 3015, 33904, 44656, 8308 ]	Test
39,893	27	Title: Losing Focus: Can It Be Useful in Robotic Laser Surgery? Abstract: Lasers are an essential tool in modern medical practice, and their applications span a wide spectrum of specialties. In laryngeal microsurgery, lasers are frequently used to excise tumors from the vocal folds [1]. Several research groups have rec...	[]	Train
39,894	16	Title: ALOFT: A Lightweight MLP-Like Architecture with Dynamic Low-Frequency Transform for Domain Generalization Abstract: Domain generalization (DG) aims to learn a model that generalizes well to unseen target domains utilizing multiple source domains without re-training. Most existing DG works are based on convolutio...	[ 4640, 24328, 35966, 39679 ]	Train
39,895	4	Title: Pump, Dump, and then What? The Long-Term Impact of Cryptocurrency Pump-and-Dump Schemes Abstract: The pump and dump scheme is a form of market manipulation attack in which coordinated actors drive up the price of an asset in order to sell at a higher price. Due in part to a lack of enforcement, these schemes are...	[]	Validation
39,896	31	Title: Examining the Impact of Uncontrolled Variables on Physiological Signals in User Studies for Information Processing Activities Abstract: Physiological signals can potentially be applied as objective measures to understand the behavior and engagement of users interacting with information access systems. However, t...	[]	Train
39,897	24	Title: Fast offset corrected in-memory training Abstract: In-memory computing with resistive crossbar arrays has been suggested to accelerate deep-learning workloads in highly efficient manner. To unleash the full potential of in-memory computing, it is desirable to accelerate the training as well as inference for larg...	[ 30924 ]	Train
39,898	24	Title: TSMixer: Lightweight MLP-Mixer Model for Multivariate Time Series Forecasting Abstract: Transformers have gained popularity in time series forecasting for their ability to capture long-sequence interactions. However, their memory and compute-intensive requirements pose a critical bottleneck for long-term forecas...	[ 24444, 17725, 23527 ]	Train
39,899	16	Title: Palm: Predicting Actions through Language Models @ Ego4D Long-Term Action Anticipation Challenge 2023 Abstract: We present Palm, a solution to the Long-Term Action Anticipation (LTA) task utilizing vision-language and large language models. Given an input video with annotated action periods, the LTA task aims to...	[ 10624 ]	Validation
39,900	4	Title: Proof-of-Contribution-Based Design for Collaborative Machine Learning on Blockchain Abstract: We consider a project (model) owner that would like to train a model by utilizing the local private data and compute power of interested data owners, i.e., trainers. Our goal is to design a data marketplace for such dec...	[ 14064 ]	Train
39,901	24	Title: CADIS: Handling Cluster-skewed Non-IID Data in Federated Learning with Clustered Aggregation and Knowledge DIStilled Regularization Abstract: Federated learning enables edge devices to train a global model collaboratively without exposing their data. Despite achieving outstanding advantages in computing efficien...	[]	Train
39,902	20	Title: Adversarial Path Planning for Optimal Camera Positioning Abstract: The use of visual sensors is flourishing, driven among others by the several applications in detection and prevention of crimes or dangerous events. While the problem of optimal camera placement for total coverage has been solved for a decade or ...	[]	Train
39,903	30	Title: It's All in the Embedding! Fake News Detection Using Document Embeddings Abstract: With the current shift in the mass media landscape from journalistic rigor to social media, personalized social media is becoming the new norm. Although the digitalization progress of the media brings many advantages, it also incr...	[ 31687, 4115, 36738, 23927 ]	Train
39,904	15	Title: iEDA: An Open-Source Intelligent Physical Implementation Toolkit and Library Abstract: Open-source EDA shows promising potential in unleashing EDA innovation and lowering the cost of chip design. This paper presents an open-source EDA project, iEDA, aiming for building a basic infrastructure for EDA technology e...	[ 12192 ]	Train
39,905	24	Title: Causal Temporal Graph Convolutional Neural Networks (CTGCN) Abstract: Many large-scale applications can be elegantly represented using graph structures. Their scalability, however, is often limited by the domain knowledge required to apply them. To address this problem, we propose a novel Causal Temporal Graph C...	[]	Test
39,906	16	Title: Cal-SFDA: Source-Free Domain-adaptive Semantic Segmentation with Differentiable Expected Calibration Error Abstract: The prevalence of domain adaptive semantic segmentation has prompted concerns regarding source domain data leakage, where private information from the source domain could inadvertently be exposed ...	[ 45290 ]	Train
39,907	36	Title: Transaction fee mechanism for Proof-of-Stake protocol Abstract: We study a mechanism design problem in the blockchain proof-of-stake (PoS) protocol. Our main objective is to extend the transaction fee mechanism (TFM) recently proposed in Chung and Shi (SODA, p.3856-3899, 2023), so as to incorporate a long-run ut...	[ 45451 ]	Train
39,908	30	Title: Benchmarking Foundation Models with Language-Model-as-an-Examiner Abstract: Numerous benchmarks have been established to assess the performance of foundation models on open-ended question answering, which serves as a comprehensive test of a model's ability to understand and generate language in a manner similar ...	[ 38208, 26974, 13700, 33220, 13510, 17417, 7695, 16917, 13495, 35545, 12602, 39451, 4892, 2622, 24479 ]	Train
39,909	24	Title: One-Step Distributional Reinforcement Learning Abstract: Reinforcement learning (RL) allows an agent interacting sequentially with an environment to maximize its long-term expected return. In the distributional RL (DistrRL) paradigm, the agent goes beyond the limit of the expected value, to capture the underlyin...	[ 8480, 12089 ]	Test
39,910	36	Title: Selling to Multiple No-Regret Buyers Abstract: We consider the problem of repeatedly auctioning a single item to multiple i.i.d buyers who each use a no-regret learning algorithm to bid over time. In particular, we study the seller's optimal revenue, if they know that the buyers are no-regret learners (but only ...	[]	Train
39,911	28	Title: Rate-Splitting for CF Massive MIMO Systems With Channel Aging Abstract: The cell-free (CF) massive multiple-input multiple-output (MIMO) system is considered a cutting-edge technology in next-generation mobile communication due to its ability to provide high-performance coverage seamlessly and uniformly. This pa...	[ 24870 ]	Train
39,912	27	Title: Decision Making for Autonomous Driving in Interactive Merge Scenarios via Learning-based Prediction Abstract: Autonomous agents that drive on roads shared with human drivers must reason about the nuanced interactions among traffic participants. This poses a highly challenging decision making problem since human ...	[]	Validation
39,913	24	Title: Towards Trustworthy and Aligned Machine Learning: A Data-centric Survey with Causality Perspectives Abstract: The trustworthiness of machine learning has emerged as a critical topic in the field, encompassing various applications and research areas such as robustness, security, interpretability, and fairness. Th...	[]	Train
39,914	37	Title: MorphStream: Scalable Processing of Transactions over Streams on Multicores Abstract: Transactional Stream Processing Engines (TSPEs) form the backbone of modern stream applications handling shared mutable states. Yet, the full potential of these systems, specifically in exploiting parallelism and implementing d...	[]	Test
39,915	16	Title: Advanced Image Quality Assessment for Hand- and Fingervein Biometrics Abstract: Natural Scene Statistics commonly used in non-reference image quality measures and a deep learning based quality assessment approach are proposed as biometric quality indicators for vasculature images. While NIQE and BRISQUE if train...	[]	Train
39,916	16	Title: A Novel Improved Mask RCNN for Multiple Targets Detection in the Indoor Complex Scenes Abstract: With the expansive aging of global population, service robot with living assistance applied in indoor scenes will serve as a crucial role in the field of elderly care and health in the future. Service robots need to ...	[]	Train
39,917	16	Title: SCOL: Supervised Contrastive Ordinal Loss for Abdominal Aortic Calcification Scoring on Vertebral Fracture Assessment Scans Abstract: Abdominal Aortic Calcification (AAC) is a known marker of asymptomatic Atherosclerotic Cardiovascular Diseases (ASCVDs). AAC can be observed on Vertebral Fracture Assessment (VFA)...	[]	Train
39,918	24	Title: Score-based Generative Modeling Through Backward Stochastic Differential Equations: Inversion and Generation Abstract: The proposed BSDE-based diffusion model represents a novel approach to diffusion modeling, which extends the application of stochastic differential equations (SDEs) in machine learning. Unlike t...	[ 361, 27543 ]	Train
39,919	30	Title: On the Robustness of Aspect-based Sentiment Analysis: Rethinking Model, Data, and Training Abstract: Aspect-based sentiment analysis (ABSA) aims at automatically inferring the specific sentiment polarities toward certain aspects of products or services behind the social media texts or reviews, which has been a f...	[ 29346, 19172, 4750, 5107, 35220, 28822, 34358, 24601, 31034, 8895 ]	Test
39,920	16	Title: FIVA: Facial Image and Video Anonymization and Anonymization Defense Abstract: In this paper, we present a new approach for facial anonymization in images and videos, abbreviated as FIVA. Our proposed method is able to maintain the same face anonymization consistently over frames with our suggested identity-trac...	[]	Test
39,921	38	Title: How are exclusively data journals indexed in major scholarly databases? An examination of the Web of Science, Scopus, Dimensions, and OpenAlex Abstract: As part of the data-driven paradigm and open science movement, the data paper is becoming a popular way for researchers to publish their research data, based on...	[]	Train
39,922	26	Title: An Evaluation System for DeFi Lending Protocols Abstract: With the development of decentralized finance (DeFi), lending protocols have been increasingly proposed in the market. A comprehensive and in-depth evaluation of lending protocol is essential to the DeFi market participants. Due to the short development t...	[]	Train
39,923	16	Title: AnthroNet: Conditional Generation of Humans via Anthropometrics Abstract: We present a novel human body model formulated by an extensive set of anthropocentric measurements, which is capable of generating a wide range of human body shapes and poses. The proposed model enables direct modeling of specific human id...	[]	Train
39,924	30	Title: Neural Machine Translation for Mathematical Formulae Abstract: We tackle the problem of neural machine translation of mathematical formulae between ambiguous presentation languages and unambiguous content languages. Compared to neural machine translation on natural language, mathematical formulae have a much sma...	[]	Train
39,925	10	Title: “That Darned Sandstorm”: A Study of Procedural Generation through Archaeological Storytelling Abstract: Procedural content generation has been applied to many domains, especially level design, but the narrative affordances of generated game environments are comparatively understudied. In this paper we present ou...	[ 27013 ]	Train
39,926	31	Title: Value of Exploration: Measurements, Findings and Algorithms Abstract: Effective exploration is believed to positively influence the long-term user experience on recommendation platforms. Determining its exact benefits, however, has been challenging. Regular A/B tests on exploration often measure neutral or even ...	[]	Train
39,927	23	Title: Automated Identification of Performance Changes at Code Level Abstract: To develop software with optimal performance, even small performance changes need to be identified. Identifying performance changes is challenging since the performance of software is influenced by non-deterministic factors. Therefore, not e...	[]	Train
39,928	25	Title: THLNet: two-stage heterogeneous lightweight network for monaural speech enhancement Abstract: In this paper, we propose a two-stage heterogeneous lightweight network for monaural speech enhancement. Specifically, we design a novel two-stage framework consisting of a coarse-grained full-band mask estimation stage...	[]	Test
39,929	8	Title: Revisiting Cellular Throughput Prediction over the Edge: Collaborative Multi-device, Multi-network in-situ Learning Abstract: Pervasive applications over large-scale, distributed embedded devices and the Internet of Things (IoT) demand precise coordination with the network; for example, several such applications...	[ 17676 ]	Train
39,930	30	Title: Communication Drives the Emergence of Language Universals in Neural Agents: Evidence from the Word-order/Case-marking Trade-off Abstract: Abstract Artificial learners often behave differently from human learners in the context of neural agent-based simulations of language emergence and change. A common explanati...	[]	Validation
39,931	2	Title: Graded Differential Categories and Graded Differential Linear Logic Abstract: In Linear Logic ($\mathsf{LL}$), the exponential modality $!$ brings forth a distinction between non-linear proofs and linear proofs, where linear means using an argument exactly once. Differential Linear Logic ($\mathsf{DiLL}$) is an ...	[]	Train
39,932	24	Title: The Risks of Recourse in Binary Classification Abstract: Algorithmic recourse provides explanations that help users overturn an unfavorable decision by a machine learning system. But so far very little attention has been paid to whether providing recourse is beneficial or not. We introduce an abstract learning-t...	[ 22451 ]	Test
39,933	31	Title: Beyond Semantics: Learning a Behavior Augmented Relevance Model with Self-supervised Learning Abstract: Relevance modeling aims to locate desirable items for corresponding queries, which is crucial for search engines to ensure user experience. Although most conventional approaches address this problem by assessi...	[ 13700, 39 ]	Train
39,934	16	Title: Learning disentangled representations for explainable chest x-ray classification using Dirichlet VAEs Abstract: This study explores the use of the Dirichlet Variational Autoencoder (DirVAE) for learning disentangled latent representations of chest X-ray (CXR) images. Our working hypothesis is that distributional...	[]	Train
39,935	24	Title: Efficient Rate Optimal Regret for Adversarial Contextual MDPs Using Online Function Approximation Abstract: We present the OMG-CMDP! algorithm for regret minimization in adversarial Contextual MDPs. The algorithm operates under the minimal assumptions of realizable function class and access to online least squar...	[]	Train
39,936	24	Title: How good Neural Networks interpretation methods really are? A quantitative benchmark Abstract: Saliency Maps (SMs) have been extensively used to interpret deep learning models decision by highlighting the features deemed relevant by the model. They are used on highly nonlinear problems, where linear feature sele...	[]	Train
39,937	30	Title: infoVerse: A Universal Framework for Dataset Characterization with Multidimensional Meta-information Abstract: The success of NLP systems often relies on the availability of large, high-quality datasets. However, not all samples in these datasets are equally valuable for learning, as some may be redundant or noi...	[]	Train
39,938	10	Title: Time Series Forecasting via Semi-Asymmetric Convolutional Architecture with Global Atrous Sliding Window Abstract: The proposed method in this paper is designed to address the problem of time series forecasting. Although some exquisitely designed models achieve excellent prediction performances, how to extract m...	[]	Validation
39,939	16	Title: Unbiased Image Synthesis via Manifold-Driven Sampling in Diffusion Models Abstract: Diffusion models are a potent class of generative models capable of producing high-quality images. However, they can face challenges related to data bias, favoring specific modes of data, especially when the training data does no...	[ 30737, 12764, 22501 ]	Validation
39,940	24	Title: Machine Learning to detect cyber-attacks and discriminating the types of power system disturbances Abstract: This research proposes a machine learning-based attack detection model for power systems, specifically targeting smart grids. By utilizing data and logs collected from Phasor Measuring Devices (PMUs), the...	[]	Train
39,941	28	Title: The Voronoi Region of the Barnes–Wall Lattice Λ16 Abstract: We give a detailed description of the Voronoi region of the Barnes–Wall lattice <inline-formula> <tex-math notation="LaTeX">$\Lambda _{16}$ </tex-math></inline-formula>, including its vertices, relevant vectors, and symmetry group. The exact value of it...	[ 8519 ]	Train
39,942	16	Title: Continual Learning for Out-of-Distribution Pedestrian Detection Abstract: A continual learning solution is proposed to address the out-of-distribution generalization problem for pedestrian detection. While recent pedestrian detection models have achieved impressive performance on various datasets, they remain se...	[]	Validation
39,943	16	Title: Disentangling Orthogonal Planes for Indoor Panoramic Room Layout Estimation with Cross-Scale Distortion Awareness Abstract: Based on the Manhattan World assumption, most existing indoor layout estimation schemes focus on recovering layouts from vertically compressed 1D sequences. However, the compression procedu...	[]	Validation
39,944	16	Title: Structural Cycle GAN for Virtual Immunohistochemistry Staining of Gland Markers in the Colon Abstract: With the advent of digital scanners and deep learning, diagnostic operations may move from a microscope to a desktop. Hematoxylin and Eosin (H&E) staining is one of the most frequently used stains for disease a...	[ 27305 ]	Test
39,945	31	Title: An Analysis of Untargeted Poisoning Attack and Defense Methods for Federated Online Learning to Rank Systems Abstract: Federated online learning to rank (FOLTR) aims to preserve user privacy by not sharing their searchable data and search interactions, while guaranteeing high search effectiveness, especially in ...	[]	Train
39,946	10	Title: Generative AI-empowered Simulation for Autonomous Driving in Vehicular Mixed Reality Metaverses Abstract: In the vehicular mixed reality (MR) Metaverse, the distance between physical and virtual entities can be overcome by fusing the physical and virtual environments with multi-dimensional communications in auto...	[ 42464, 19050, 30026, 30925, 17104, 11480 ]	Train
39,947	24	Title: Ecosystem-level Analysis of Deployed Machine Learning Reveals Homogeneous Outcomes Abstract: Machine learning is traditionally studied at the model level: researchers measure and improve the accuracy, robustness, bias, efficiency, and other dimensions of specific models. In practice, the societal impact of machi...	[ 39494, 22847 ]	Train
39,948	30	Title: Multi3WOZ: A Multilingual, Multi-Domain, Multi-Parallel Dataset for Training and Evaluating Culturally Adapted Task-Oriented Dialog Systems Abstract: Creating high-quality annotated data for task-oriented dialog (ToD) is known to be notoriously difficult, and the challenges are amplified when the goal is to crea...	[ 44473 ]	Train
39,949	37	Title: Abstract Domains for Database Manipulating Processes Abstract: Database manipulating systems (DMS) formalize operations on relational databases like adding new tuples or deleting existing ones. To ensure sufficient expressiveness for capturing practical database systems, DMS operations incorporate guarding expre...	[]	Test
39,950	5	Title: Map-and-Conquer: Energy-Efficient Mapping of Dynamic Neural Nets onto Heterogeneous MPSoCs Abstract: Heterogeneous MPSoCs comprise diverse processing units of varying compute capabilities. To date, the mapping strategies of neural networks (NNs) onto such systems are yet to exploit the full potential of processi...	[ 16983 ]	Validation
39,951	27	Title: Efficient Map Sparsification Based on 2D and 3D Discretized Grids Abstract: Localization in a pre-built map is a basic technique for robot autonomous navigation. Existing mapping and localization methods commonly work well in small-scale environments. As a map grows larger, however, more memory is required and l...	[]	Train
39,952	27	Title: Vision-based Oxy-fuel Torch Control for Robotic Metal Cutting Abstract: The automation of key processes in metal cutting would substantially benefit many industries such as manufacturing and metal recycling. We present a vision-based control scheme for automated metal cutting with oxy-fuel torches, an establishe...	[]	Train
39,953	24	Title: Multiclass Online Learning and Uniform Convergence Abstract: We study multiclass classification in the agnostic adversarial online learning setting. As our main result, we prove that any multiclass concept class is agnostically learnable if and only if its Littlestone dimension is finite. This solves an open pro...	[ 29671 ]	Validation
39,954	16	Title: Set Features for Fine-grained Anomaly Detection Abstract: Fine-grained anomaly detection has recently been dominated by segmentation based approaches. These approaches first classify each element of the sample (e.g., image patch) as normal or anomalous and then classify the entire sample as anomalous if it conta...	[ 30754, 34077, 33677, 10190 ]	Train
39,955	24	Title: Residual Q-Learning: Offline and Online Policy Customization without Value Abstract: Imitation Learning (IL) is a widely used framework for learning imitative behavior from demonstrations. It is especially appealing for solving complex real-world tasks where handcrafting reward function is difficult, or when the...	[]	Validation
39,956	6	Title: Visualising category recoding and numeric redistributions Abstract: This paper proposes graphical representations of data and rationale provenance in workflows that convert both category labels and associated numeric data between distinct but semantically related taxonomies. We motivate the graphical representat...	[]	Validation
39,957	15	Title: Exposing Reliability Degradation and Mitigation in Approximate DNNs Under Permanent Faults Abstract: Approximate computing is known for enhancing deep neural network accelerators’ energy efficiency by introducing inexactness with a tolerable accuracy loss. However, small accuracy variations may increase the sens...	[]	Validation
39,958	1	Title: An Evaluation of Three Distance Measurement Technologies for Flying Light Specks Abstract: This study evaluates the accuracy of three different types of time-of-flight sensors to measure distance. We envision the possible use of these sensors to localize swarms of flying light specks (FLSs) to illuminate objects...	[]	Validation
39,959	30	Title: Domain-adapted large language models for classifying nuclear medicine reports Abstract: With the growing use of transformer-based language models in medicine, it is unclear how well these models generalize to nuclear medicine which has domain-specific vocabulary and unique reporting styles. In this study, we eva...	[]	Test
39,960	27	Title: Robot Person Following Under Partial Occlusion Abstract: Robot person following (RPF) is a capability that supports many useful human-robot-interaction (HRI) applications. However, existing solutions to person following often as-sume full observation of the tracked person. As a consequence, they cannot track the...	[ 36257 ]	Test
39,961	24	Title: Incremental Randomized Smoothing Certification Abstract: Randomized smoothing-based certification is an effective approach for obtaining robustness certificates of deep neural networks (DNNs) against adversarial attacks. This method constructs a smoothed DNN model and certifies its robustness through statistical...	[ 26002, 24245 ]	Validation
39,962	16	Title: Structured Network Pruning by Measuring Filter-wise Interactions Abstract: Structured network pruning is a practical approach to reduce computation cost directly while retaining the CNNs' generalization performance in real applications. However, identifying redundant filters is a core problem in structured netwo...	[]	Train
39,963	16	Title: EGformer: Equirectangular Geometry-biased Transformer for 360 Depth Estimation Abstract: Estimating the depths of equirectangular (i.e., 360) images (EIs) is challenging given the distorted 180 x 360 field-of-view, which is hard to be addressed via convolutional neural network (CNN). Although a transformer with ...	[ 12122 ]	Train
39,964	17	Title: Anatomically Detailed Simulation of Human Torso Abstract: Many existing digital human models approximate the human skeletal system using rigid bodies connected by rotational joints. While the simplification is considered acceptable for legs and arms, it significantly lacks fidelity to model rich torso movements ...	[]	Validation
39,965	36	Title: A global accuracy characterisation of trust Abstract: Dorst et al. (2021) put forward a deference principle called Total Trust, and characterise it in terms of accuracy: an agent totally trusts an expert iff they expect the expert to be more accurate than them. This note gives a new proof of their result using a...	[]	Test
39,966	24	Title: Outcome-directed Reinforcement Learning by Uncertainty & Temporal Distance-Aware Curriculum Goal Generation Abstract: Current reinforcement learning (RL) often suffers when solving a challenging exploration problem where the desired outcomes or high rewards are rarely observed. Even though curriculum RL, a frame...	[ 26059, 29070 ]	Train
39,967	30	Title: Characterizing Information Seeking Events in Health-Related Social Discourse Abstract: Social media sites have become a popular platform for individuals to seek and share health information. Despite the progress in natural language processing for social media mining, a gap remains in analyzing health-related tex...	[ 39642, 23252, 15559 ]	Train
39,968	24	Title: On the Effect of Adversarial Training Against Invariance-based Adversarial Examples Abstract: Adversarial examples are carefully crafted attack points that are supposed to fool machine learning classifiers. In the last years, the field of adversarial machine learning, especially the study of perturbation-based a...	[ 31248 ]	Validation
39,969	3	Title: Teaching Computer Vision for Ecology Abstract: Computer vision can accelerate ecology research by automating the analysis of raw imagery from sensors like camera traps, drones, and satellites. However, computer vision is an emerging discipline that is rarely taught to ecologists. This work discusses our experien...	[]	Train
39,970	24	Title: Improving the Utility of Differentially Private Clustering through Dynamical Processing Abstract: This study aims to alleviate the trade-off between utility and privacy in the task of differentially private clustering. Existing works focus on simple clustering methods, which show poor clustering performance for ...	[]	Validation
39,971	3	Title: Periodicity Intensity Reveals Insights into Time Series Data: Three Use Cases Abstract: Periodic phenomena are oscillating signals found in many naturally occurring time series. A periodogram can be used to measure the intensities of oscillations at different frequencies over an entire time series, but sometimes...	[ 36300 ]	Test
39,972	6	Title: Our Nudges, Our Selves: Tailoring Mobile User Engagement Using Personality Abstract: To increase mobile user engagement, current apps employ a variety of behavioral nudges, but these engagement techniques are applied in a one-size-fits-all approach. Yet the very same techniques may be perceived differently by di...	[]	Train
39,973	8	Title: Multi-Receiver Task-Oriented Communications via Multi-Task Deep Learning Abstract: This paper studies task-oriented, otherwise known as goal-oriented, communications, in a setting where a transmitter communicates with multiple receivers, each with its own task to complete on a dataset, e.g., images, available at...	[ 45268, 39165 ]	Train
39,974	27	Title: Image Processing-Based Methods to Improve the Robustness of Robotic Gripping Abstract: Image processing techniques are having a huge impact on most fields of robotics and industrial automation. Real-time methods are usually employed in complex automation tasks, assisting with decision making or directly guiding ...	[]	Validation
39,975	30	Title: What's in a Name? Evaluating Assembly-Part Semantic Knowledge in Language Models through User-Provided Names in CAD Files Abstract: Semantic knowledge of part-part and part-whole relationships in assemblies is useful for a variety of tasks from searching design repositories to the construction of engineering k...	[]	Train
39,976	28	Title: Enhancing Spectrum Sensing via Reconfigurable Intelligent Surfaces: Passive or Active Sensing and How Many Reflecting Elements are Needed? Abstract: Cognitive radio has been proposed to alleviate the scarcity of available spectrum. However, sensing performance is quite poor due to the low sensing signal-to-noise...	[]	Validation
39,977	25	Title: Iteratively Improving Speech Recognition and Voice Conversion Abstract: Many existing works on voice conversion (VC) tasks use automatic speech recognition (ASR) models for ensuring linguistic consistency between source and converted samples. However, for the low-data resource domains, training a high-quality AS...	[ 40905 ]	Validation

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