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
37,578	30	Title: Adaptive and Personalized Exercise Generation for Online Language Learning Abstract: Adaptive learning aims to provide customized educational activities (e.g., exercises) to address individual learning needs. However, manual construction and delivery of such activities is a laborious process. Thus, in this paper...	[]	Test
37,579	24	Title: Revisiting Scalarization in Multi-Task Learning: A Theoretical Perspective Abstract: Linear scalarization, i.e., combining all loss functions by a weighted sum, has been the default choice in the literature of multi-task learning (MTL) since its inception. In recent years, there is a surge of interest in develop...	[]	Test
37,580	16	Title: SoccerNet 2023 Tracking Challenge - 3rd place MOT4MOT Team Technical Report Abstract: The SoccerNet 2023 tracking challenge requires the detection and tracking of soccer players and the ball. In this work, we present our approach to tackle these tasks separately. We employ a state-of-the-art online multi-object ...	[ 3305, 13425 ]	Test
37,581	27	Title: StereoTac: A Novel Visuotactile Sensor That Combines Tactile Sensing With 3D Vision Abstract: Combining 3D vision with tactile sensing could unlock a greater level of dexterity for robots and improve several manipulation tasks. However, obtaining a close-up 3D view of the location where manipulation contacts occ...	[ 16484, 16452 ]	Train
37,582	16	Title: Source Identification: A Self-Supervision Task for Dense Prediction Abstract: The paradigm of self-supervision focuses on representation learning from raw data without the need of labor-consuming annotations, which is the main bottleneck of current data-driven methods. Self-supervision tasks are often used to pr...	[]	Train
37,583	6	Title: Stargazer: An Interactive Camera Robot for Capturing How-To Videos Based on Subtle Instructor Cues Abstract: Live and pre-recorded video tutorials are an effective means for teaching physical skills such as cooking or prototyping electronics. A dedicated cameraperson following an instructor’s activities can impr...	[]	Train
37,584	24	Title: WEASEL 2.0 - A Random Dilated Dictionary Transform for Fast, Accurate and Memory Constrained Time Series Classification Abstract: A time series is a sequence of sequentially ordered real values in time. Time series classification (TSC) is the task of assigning a time series to one of a set of predefined classes,...	[ 44290, 34853, 43690, 28496, 20791 ]	Validation
37,585	24	Title: Gradient-based Uncertainty Attribution for Explainable Bayesian Deep Learning Abstract: Predictions made by deep learning models are prone to data perturbations, adversarial attacks, and out-of-distribution inputs. To build a trusted AI system, it is there-fore critical to accurately quantify the prediction unce...	[]	Train
37,586	24	Title: Generating Adversarial Examples with Better Transferability via Masking Unimportant Parameters of Surrogate Model Abstract: Deep neural networks (DNNs) have been shown to be vulnerable to adversarial examples. Moreover, the transferability of the adversarial examples has received broad attention in recent years,...	[]	Train
37,587	25	Title: ZET-Speech: Zero-shot adaptive Emotion-controllable Text-to-Speech Synthesis with Diffusion and Style-based Models Abstract: Emotional Text-To-Speech (TTS) is an important task in the development of systems (e.g., human-like dialogue agents) that require natural and emotional speech. Existing approaches, however...	[ 21778, 8308 ]	Train
37,588	16	Title: Distribution Shift Matters for Knowledge Distillation with Webly Collected Images Abstract: Knowledge distillation aims to learn a lightweight student network from a pre-trained teacher network. In practice, existing knowledge distillation methods are usually infeasible when the original training data is unavail...	[]	Test
37,589	4	Title: AVeCQ: Anonymous Verifiable Crowdsourcing with Worker Qualities Abstract: In crowdsourcing systems, requesters publish tasks, and interested workers provide answers to get rewards. Worker anonymity motivates participation since it protects their privacy. Anonymity with unlinkability is an enhanced version of ano...	[]	Train
37,590	10	Title: Playing the Werewolf game with artificial intelligence for language understanding Abstract: The Werewolf game is a social deduction game based on free natural language communication, in which players try to deceive others in order to survive. An important feature of this game is that a large portion of the conve...	[ 35915, 35927 ]	Train
37,591	27	Title: Giving Robots a Hand: Learning Generalizable Manipulation with Eye-in-Hand Human Video Demonstrations Abstract: Eye-in-hand cameras have shown promise in enabling greater sample efficiency and generalization in vision-based robotic manipulation. However, for robotic imitation, it is still expensive to have a hum...	[]	Train
37,592	30	Title: Improving Automatic Quotation Attribution in Literary Novels Abstract: Current models for quotation attribution in literary novels assume varying levels of available information in their training and test data, which poses a challenge for in-the-wild inference. Here, we approach quotation attribution as a set of...	[]	Train
37,593	24	Title: Rethinking the Evaluation Protocol of Domain Generalization Abstract: Domain generalization aims to solve the challenge of Out-of-Distribution (OOD) generalization by leveraging common knowledge learned from multiple training domains to generalize to unseen test domains. To accurately evaluate the OOD generaliza...	[ 27798 ]	Train
37,594	5	Title: SoK: Scalability Techniques for BFT Consensus Abstract: With the advancement of blockchain systems, many recent research works have proposed distributed ledger technology (DLT) that employs Byzantine fault-tolerant (BFT) consensus protocols to decide which block to append next to the ledger. Notably, BFT consens...	[]	Test
37,595	16	Title: CLIPAG: Towards Generator-Free Text-to-Image Generation Abstract: Perceptually Aligned Gradients (PAG) refer to an intriguing property observed in robust image classification models, wherein their input gradients align with human perception and pose semantic meanings. While this phenomenon has gained significant...	[ 10624, 30402, 41416, 2384, 25585, 34036 ]	Train
37,596	16	Title: When Prompt-based Incremental Learning Does Not Meet Strong Pretraining Abstract: Incremental learning aims to overcome catastrophic forgetting when learning deep networks from sequential tasks. With impressive learning efficiency and performance, prompt-based methods adopt a fixed backbone to sequential tasks b...	[]	Validation
37,597	28	Title: Automorphism Ensemble Polar Code Decoders for 6G URLLC Abstract: The URLLC scenario in the upcoming 6G standard requires low latency and ultra reliable transmission, i.e., error correction towards ML performance. Achieving near-ML performance is very challenging especially for short block lengths. Polar codes ar...	[ 19955, 25126 ]	Validation
37,598	16	Title: Generative Noisy-Label Learning by Implicit Dicriminative Approximation with Partial Label Prior Abstract: The learning with noisy labels has been addressed with both discriminative and generative models. Although discriminative models have dominated the field due to their simpler modeling and more efficient com...	[]	Train
37,599	8	Title: Multitenant Containers as a Service (CaaS) for Clouds and Edge Clouds Abstract: Cloud computing, offering on-demand access to computing resources through the Internet and the pay-as-you-go model, has marked the last decade with its three main service models; Infrastructure as a Service (IaaS), Platform as a Serv...	[]	Train
37,600	24	Title: Learning-based solutions to nonlinear hyperbolic PDEs: Empirical insights on generalization errors Abstract: We study learning weak solutions to nonlinear hyperbolic partial differential equations (H-PDE), which have been difficult to learn due to discontinuities in their solutions. We use a physics-informed var...	[ 19584, 23957 ]	Validation
37,601	24	Title: Mitigating Prior Errors in Causal Structure Learning: Towards LLM driven Prior Knowledge Abstract: Causal structure learning, a prominent technique for encoding cause and effect relationships among variables, through Bayesian Networks (BNs). Merely recovering causal structures from real-world observed data lacks...	[ 30624, 8732, 12015 ]	Test
37,602	30	Title: DaMuEL: A Large Multilingual Dataset for Entity Linking Abstract: We present DaMuEL, a large Multilingual Dataset for Entity Linking containing data in 53 languages. DaMuEL consists of two components: a knowledge base that contains language-agnostic information about entities, including their claims from Wikidat...	[ 21887 ]	Train
37,603	16	Title: Deep Active Learning with Contrastive Learning Under Realistic Data Pool Assumptions Abstract: Active learning aims to identify the most informative data from an unlabeled data pool that enables a model to reach the desired accuracy rapidly. This benefits especially deep neural networks which generally require a...	[]	Validation
37,604	6	Title: Intranasal Chemosensory Lateralization Through the Multi-electrode Transcutaneous Electrical Nasal Bridge Stimulation Abstract: Numerous studies have been conducted on display techniques for intranasal chemosensory perception. However, a limited number of studies have focused on the presentation of sensory spati...	[]	Validation
37,605	16	Title: Radio astronomical images object detection and segmentation: a benchmark on deep learning methods Abstract: nan	[ 12261 ]	Validation
37,606	16	Title: Scale-Rotation-Equivariant Lie Group Convolution Neural Networks (Lie Group-CNNs) Abstract: The weight-sharing mechanism of convolutional kernels ensures translation-equivariance of convolution neural networks (CNNs). Recently, rotation-equivariance has been investigated. However, research on scale-equivariance ...	[]	Test
37,607	24	Title: A principled distributional approach to trajectory similarity measurement Abstract: Existing measures and representations for trajectories have two longstanding fundamental shortcomings, i.e., they are computationally expensive and they can not guarantee the ‘uniqueness’ property of a distance function: dist (X,...	[]	Train
37,608	24	Title: Extreme Multilabel Classification for Specialist Doctor Recommendation with Implicit Feedback and Limited Patient Metadata Abstract: Recommendation Systems (RS) are often used to address the issue of medical doctor referrals. However, these systems require access to patient feedback and medical records, which ma...	[]	Train
37,609	24	Title: Modeling Edge Features with Deep Bayesian Graph Networks Abstract: We propose an extension of the Contextual Graph Markov Model, a deep and probabilistic machine learning model for graphs, to model the distribution of edge features. Our approach is architectural, as we introduce an additional Bayesian network ma...	[ 16707, 36228 ]	Validation
37,610	16	Title: Set-Based Face Recognition Beyond Disentanglement: Burstiness Suppression With Variance Vocabulary Abstract: Set-based face recognition (SFR) aims to recognize the face sets in the unconstrained scenario, where the appearance of same identity may change dramatically with extreme variances (e.g., illumination, po...	[ 40124 ]	Train
37,611	30	Title: UZH_CLyp at SemEval-2023 Task 9: Head-First Fine-Tuning and ChatGPT Data Generation for Cross-Lingual Learning in Tweet Intimacy Prediction Abstract: This paper describes the submission of UZH_CLyp for the SemEval 2023 Task 9 “Multilingual Tweet Intimacy Analysis. We achieved second-best results in all 10 langua...	[ 45680, 11273, 35580, 30550 ]	Validation
37,612	16	Title: DiffMix: Diffusion Model-based Data Synthesis for Nuclei Segmentation and Classification in Imbalanced Pathology Image Datasets Abstract: Nuclei segmentation and classification is a significant process in pathology image analysis. Deep learning-based approaches have greatly contributed to the higher accuracy of ...	[]	Train
37,613	27	Title: Blind as a Bat: Audible Echolocation on Small Robots Abstract: For safe and efficient operation, mobile robots need to perceive their environment, and in particular, perform tasks such as obstacle detection, localization, and mapping. Although robots are often equipped with microphones and speakers, the audio mo...	[ 19956 ]	Train
37,614	24	Title: Reward-Free Curricula for Training Robust World Models Abstract: There has been a recent surge of interest in developing generally-capable agents that can adapt to new tasks without additional training in the environment. Learning world models from reward-free exploration is a promising approach, and enables pol...	[]	Train
37,615	34	Title: Oblivious algorithms for the Max-kAND Problem Abstract: Motivated by recent works on streaming algorithms for constraint satisfaction problems (CSPs), we define and analyze oblivious algorithms for the Max-$k$AND problem. This generalizes the definition by Feige and Jozeph (Algorithmica '15) of oblivious algorit...	[]	Train
37,616	24	Title: Simple online learning with consistency oracle Abstract: We consider online learning in the model where a learning algorithm can access the class only via the consistency oracle -- an oracle, that, at any moment, can give a function from the class that agrees with all examples seen so far. This model was recentl...	[ 13880, 9250 ]	Validation
37,617	4	Title: Constructing a Knowledge Graph from Textual Descriptions of Software Vulnerabilities in the National Vulnerability Database Abstract: Knowledge graphs have shown promise for several cybersecurity tasks, such as vulnerability assessment and threat analysis. In this work, we present a new method for constructing a...	[]	Train
37,618	28	Title: Abstract Huffman Coding and PIFO Tree Embeddings Abstract: Huffman codes translate letters from a fixed alphabet to d-ary codewords, achieving optimal compression for a given frequency distribution of letters. There is a well-known greedy algorithm for producing optimal Huffman codes for a given distribution.	[]	Train
37,619	34	Title: A Linear Time Quantum Algorithm for Pairwise Sequence Alignment Abstract: Sequence Alignment is the process of aligning biological sequences in order to identify similarities between multiple sequences. In this paper, a Quantum Algorithm for finding the optimal alignment between DNA sequences has been demonstrat...	[]	Test
37,620	34	Title: An Algorithmic Approach to Address Course Enrollment Challenges Abstract: Massive surges of enrollments in courses have led to a crisis in several computer science departments - not only is the demand for certain courses extremely high from majors, but the demand from non-majors is also very high. Much of the ti...	[]	Test
37,621	16	Title: Persistent Nature: A Generative Model of Unbounded 3D Worlds Abstract: Despite increasingly realistic image quality, recent 3D image generative models often operate on 3D volumes of fixed extent with limited camera motions. We investigate the task of unconditionally synthesizing unbounded nature scenes, enabling...	[ 7993, 22822, 43399 ]	Train
37,622	30	Title: RC3: Regularized Contrastive Cross-lingual Cross-modal Pre-training Abstract: Multilingual vision-language (V&L) pre-training has achieved remarkable progress in learning universal representations across different modalities and languages. In spite of recent success, there still remain challenges limiting furthe...	[ 6392 ]	Train
37,623	10	Title: Experiments with Detecting and Mitigating AI Deception Abstract: How to detect and mitigate deceptive AI systems is an open problem for the field of safe and trustworthy AI. We analyse two algorithms for mitigating deception: The first is based on the path-specific objectives framework where paths in the game th...	[ 22994, 29779, 33220 ]	Train
37,624	16	Title: E-Calib: A Fast, Robust and Accurate Calibration Toolbox for Event Cameras Abstract: Event cameras triggered a paradigm shift in the computer vision community delineated by their asynchronous nature, low latency, and high dynamic range. Calibration of event cameras is always essential to account for the sensor i...	[]	Test
37,625	10	Title: PEAK: Explainable Privacy Assistant through Automated Knowledge Extraction Abstract: In the realm of online privacy, privacy assistants play a pivotal role in empowering users to manage their privacy effectively. Although recent studies have shown promising progress in tackling tasks such as privacy violation de...	[]	Train
37,626	24	Title: LaMPP: Language Models as Probabilistic Priors for Perception and Action Abstract: Language models trained on large text corpora encode rich distributional information about real-world environments and action sequences. This information plays a crucial role in current approaches to language processing tasks like...	[ 11937, 27138, 2578, 21782, 5975, 1374, 41247 ]	Train
37,627	30	Title: Algorithmic Ghost in the Research Shell: Large Language Models and Academic Knowledge Creation in Management Research Abstract: The paper looks at the role of large language models in academic knowledge creation based on a scoping review (2018 to January 2023) of how researchers have previously used the language...	[ 4674, 20487, 41839, 12487 ]	Validation
37,628	27	Title: Error Tolerant Multi-Robot System for Roadside Trash Collection Abstract: —In this paper, we present the ﬁrst iteration of an error-tolerant, autonomous, multi-robot system that monitors highway road verges and identiﬁes and collects roadside litter. It is designed to use an aerial vehicle that can rapidly cover...	[]	Validation
37,629	27	Title: Kinodynamic FMT* with Dimensionality Reduction Heuristics and Neural Network Controllers Abstract: This paper proposes a new sampling-based kinodynamic motion planning algorithm, called FMT*PFF, for nonlinear systems. It exploits the novel idea of dimensionality reduction using partial-final-state-free (PFF) opt...	[]	Validation
37,630	24	Title: Streaming probabilistic tensor train decomposition Abstract: The Bayesian streaming tensor decomposition method is a novel method to discover the low-rank approximation of streaming data. However, when the streaming data comes from a high-order tensor, tensor structures of existing Bayesian streaming tensor deco...	[]	Test
37,631	24	Title: Conformal Prediction with Partially Labeled Data Abstract: While the predictions produced by conformal prediction are set-valued, the data used for training and calibration is supposed to be precise. In the setting of superset learning or learning from partial labels, a variant of weakly supervised learning, it ...	[]	Train
37,632	17	Title: A Locality-based Neural Solver for Optical Motion Capture Abstract: We present a novel locality-based learning method for cleaning and solving optical motion capture data. Given noisy marker data, we propose a new heterogeneous graph neural network which treats markers and joints as different types of nodes, and...	[ 28014 ]	Train
37,633	16	Title: Realistically distributing object placements in synthetic training data improves the performance of vision-based object detection models Abstract: When training object detection models on synthetic data, it is important to make the distribution of synthetic data as close as possible to the distribution of real d...	[]	Test
37,634	23	Title: App Review Driven Collaborative Bug Finding Abstract: Software development teams generally welcome any effort to expose bugs in their code base. In this work, we build on the hypothesis that mobile apps from the same category (e.g., two web browser apps) may be affected by similar bugs in their evolution process...	[ 10358 ]	Train
37,635	30	Title: Ordered Memory Baselines Abstract: Natural language semantics can be modeled using the phrase-structured model, which can be represented using a tree-type architecture. As a result, recent advances in natural language processing have been made utilising recursive neural networks using memory models that allow th...	[]	Test
37,636	6	Title: Towards a Comprehensive Human-Centred Evaluation Framework for Explainable AI Abstract: While research on explainable AI (XAI) is booming and explanation techniques have proven promising in many application domains, standardised human-centred evaluation procedures are still missing. In addition, current evaluati...	[ 24129 ]	Test
37,637	24	Title: MultiAdam: Parameter-wise Scale-invariant Optimizer for Multiscale Training of Physics-informed Neural Networks Abstract: Physics-informed Neural Networks (PINNs) have recently achieved remarkable progress in solving Partial Differential Equations (PDEs) in various fields by minimizing a weighted sum of PDE loss...	[ 84 ]	Train
37,638	27	Title: A Framework for Learning Behavior Trees in Collaborative Robotic Applications Abstract: In modern industrial collaborative robotic applications, it is desirable to create robot programs automatically, intuitively, and time-efficiently. Moreover, robots need to be controlled by reactive policies to face the unpre...	[ 28522 ]	Train
37,639	4	Title: Everyone Can Attack: Repurpose Lossy Compression as a Natural Backdoor Attack Abstract: The vulnerabilities to backdoor attacks have recently threatened the trustworthiness of machine learning models in practical applications. Conventional wisdom suggests that not everyone can be an attacker since the process of...	[]	Test
37,640	25	Title: Topological fingerprints for audio identification Abstract: We present a topological audio fingerprinting approach for robustly identifying duplicate audio tracks. Our method applies persistent homology on local spectral decompositions of audio signals, using filtered cubical complexes computed from mel-spectrog...	[]	Validation
37,641	18	Title: Generic photonic integrated linear operator processor Abstract: Photonic integration platforms have been explored extensively for optical computing with the aim of breaking the speed and power efficiency limitations of traditional digital electronic computers. Current technologies typically focus on implementing...	[]	Train
37,642	24	Title: Attention Is Not All You Need Anymore Abstract: In recent years, the popular Transformer architecture has achieved great success in many application areas, including natural language processing and computer vision. Many existing works aim to reduce the computational and memory complexity of the self-attention me...	[ 26208, 40192, 43641, 11929, 34491 ]	Train
37,643	24	Title: Examining the Role and Limits of Batchnorm Optimization to Mitigate Diverse Hardware-noise in In-memory Computing Abstract: In-Memory Computing (IMC) platforms such as analog crossbars are gaining focus as they facilitate the acceleration of low-precision Deep Neural Networks (DNNs) with high area- & compute-eff...	[ 25385, 8926 ]	Validation
37,644	27	Title: Trajectory Prediction with Observations of Variable-Length for Motion Planning in Highway Merging scenarios Abstract: Accurate trajectory prediction of nearby vehicles is crucial for the safe motion planning of automated vehicles in dynamic driving scenarios such as highway merging. Existing methods cannot initi...	[ 46019 ]	Test
37,645	28	Title: Meta Distribution of Partial-NOMA Abstract: This letter studies the meta distribution (MD) in a two-user partial non-orthogonal multiple access (pNOMA) network. Compared to NOMA where users fully share a resource-element, pNOMA allows sharing only a fraction <inline-formula> <tex-math notation="LaTeX">$\alpha $ ...	[]	Test
37,646	16	Title: Model soups to increase inference without increasing compute time Abstract: In this paper, we compare Model Soups performances on three different models (ResNet, ViT and EfficientNet) using three Soup Recipes (Greedy Soup Sorted, Greedy Soup Random and Uniform soup) from arXiv:2203.05482, and reproduce the resul...	[]	Train
37,647	16	Title: LASER: Neuro-Symbolic Learning of Semantic Video Representations Abstract: Modern AI applications involving video, such as video-text alignment, video search, and video captioning, benefit from a fine-grained understanding of video semantics. Existing approaches for video understanding are either data-hungry and...	[ 15041, 28193 ]	Train
37,648	3	Title: AI Usage Cards: Responsibly Reporting AI-generated Content Abstract: Given AI systems like ChatGPT can generate content that is indistinguishable from human-made work, the responsible use of this technology is a growing concern. Although understanding the benefits and harms of using AI systems requires more time...	[ 43930, 38235, 22476, 21103 ]	Validation
37,649	16	Title: Wearable multi-color RAPD screening device Abstract: In this work, we developed a wearable, head-mounted device that automatically calculates the precise Relative Afferent Pupillary Defect (RAPD) value of a patient. The device consists of two RGB LEDs, two infrared cameras, and one microcontroller. In the RAPD t...	[]	Train
37,650	30	Title: EDIS: Entity-Driven Image Search over Multimodal Web Content Abstract: Making image retrieval methods practical for real-world search applications requires significant progress in dataset scales, entity comprehension, and multimodal information fusion. In this work, we introduce \textbf{E}ntity-\textbf{D}riven \...	[]	Test
37,651	31	Title: Reusable Self-Attention Recommender Systems in Fashion Industry Applications Abstract: A large number of empirical studies on applying self-attention models in the domain of recommender systems are based on offline evaluation and metrics computed on standardized datasets. Moreover, many of them do not consider s...	[ 14994 ]	Train
37,652	16	Title: Head-Tail Cooperative Learning Network for Unbiased Scene Graph Generation Abstract: Scene Graph Generation (SGG) as a critical task in image understanding, facing the challenge of head-biased prediction caused by the long-tail distribution of predicates. However, current unbiased SGG methods can easily prioriti...	[ 30784, 37099, 44932 ]	Train
37,653	16	Title: DFR-FastMOT: Detection Failure Resistant Tracker for Fast Multi-Object Tracking Based on Sensor Fusion Abstract: Persistent multi-object tracking (MOT) allows autonomous vehicles to navigate safely in highly dynamic environments. One of the well-known challenges in MOT is object occlusion when an object becomes ...	[]	Train
37,654	24	Title: TransFusion: Generating Long, High Fidelity Time Series using Diffusion Models with Transformers Abstract: The generation of high-quality, long-sequenced time-series data is essential due to its wide range of applications. In the past, standalone Recurrent and Convolutional Neural Network-based Generative Advers...	[]	Test
37,655	6	Title: Exploring Low Cost Non-Contact Detection of Biosignals for HCI Abstract: In an effort to make biosignal integration more accessible to explore for more HCI researchers, this paper presents our investigation of how well a standard, near ubiquitous webcam can support remote sensing of heart rate and respiration ra...	[]	Test
37,656	16	Title: Enhancing Breast Cancer Risk Prediction by Incorporating Prior Images Abstract: Recently, deep learning models have shown the potential to predict breast cancer risk and enable targeted screening strategies, but current models do not consider the change in the breast over time. In this paper, we present a new me...	[]	Test
37,657	16	Title: A Study of Autoregressive Decoders for Multi-Tasking in Computer Vision Abstract: There has been a recent explosion of computer vision models which perform many tasks and are composed of an image encoder (usually a ViT) and an autoregressive decoder (usually a Transformer). However, most of this work simply pres...	[ 10624, 35, 30500, 7743 ]	Train
37,658	24	Title: Recursive Euclidean Distance-based Robust Aggregation Technique for Federated Learning Abstract: Federated learning has gained popularity as a solution to data availability and privacy challenges in machine learning. However, the aggregation process of local model updates to obtain a global model in federated le...	[ 43432, 44339 ]	Train
37,659	27	Title: RObotic MAnipulation Network (ROMAN) $\unicode{x2013}$ Hybrid Hierarchical Learning for Solving Complex Sequential Tasks Abstract: Solving long sequential tasks poses a significant challenge in embodied artificial intelligence. Enabling a robotic system to perform diverse sequential tasks with a broad range of m...	[]	Train
37,660	37	Title: Z-ordered Range Refinement for Multi-dimensional Range Queries Abstract: The z-order curve is a space-filling curve and is now attracting the interest of developers because of its simple and useful features. In the case of key-value stores, because the z-order curve achieves multi-dimensional range queries in on...	[]	Validation
37,661	24	Title: Learning Informative Representation for Fairness-aware Multivariate Time-series Forecasting: A Group-based Perspective Abstract: —Multivariate time series (MTS) forecasting has penetrated and beneﬁted our daily life. However, the unfair forecasting of MTSs not only degrades their practical beneﬁt but even brings...	[]	Train
37,662	23	Title: Leveraging Traceability to Integrate Safety Analysis Artifacts into the Software Development Process Abstract: Safety-critical system's failure or malfunction can cause loss of human lives or damage to the physical environment; therefore, continuous safety assessment is crucial for such systems. In many domains ...	[]	Validation
37,663	30	Title: Using ChatGPT as a CAT tool in Easy Language translation Abstract: This study sets out to investigate the feasibility of using ChatGPT to translate citizen-oriented administrative texts into German Easy Language, a simplified, controlled language variety that is adapted to the needs of people with reading impair...	[ 41257, 5346, 35580 ]	Train
37,664	28	Title: On Stein’s lemma in hypotheses testing in general non-asymptotic case Abstract: nan	[ 44515 ]	Validation
37,665	16	Title: Contrastive Learning with Consistent Representations Abstract: Contrastive learning demonstrates great promise for representation learning. Data augmentations play a critical role in contrastive learning by providing informative views of the data without needing the labels. However, the performance of the existi...	[ 7350 ]	Train
37,666	24	Title: Deep-seeded Clustering for Unsupervised Valence-Arousal Emotion Recognition from Physiological Signals Abstract: Emotions play a significant role in the cognitive processes of the human brain, such as decision making, learning and perception. The use of physiological signals has shown to lead to more objective, ...	[]	Validation
37,667	30	Title: Natural language processing on customer note data Abstract: Automatic analysis of customer data for businesses is an area that is of interest to companies. Business to business data is studied rarely in academia due to the sensitive nature of such information. Applying natural language processing can speed up th...	[ 12128 ]	Train
37,668	24	Title: Exploring Continual Learning of Diffusion Models Abstract: Diffusion models have achieved remarkable success in generating high-quality images thanks to their novel training procedures applied to unprecedented amounts of data. However, training a diffusion model from scratch is computationally expensive. This hi...	[]	Train
37,669	6	Title: A Deep Cybersickness Predictor through Kinematic Data with Encoded Physiological Representation Abstract: Users would experience individually different sickness symptoms during or after navigating through an immersive virtual environment, generally known as cybersickness. Previous studies have predicted the seve...	[]	Train
37,670	16	Title: Disjoint Pose and Shape for 3D Face Reconstruction Abstract: Existing methods for 3D face reconstruction from a few casually captured images employ deep learning based models along with a 3D Morphable Model(3DMM) as face geometry prior. Structure From Motion(SFM), followed by Multi-View Stereo (MVS), on the othe...	[ 23638 ]	Train
37,671	11	Title: A Bilevel Formalism for the Peer-Reviewing Problem Abstract: Due to the large number of submissions that more and more conferences experience, finding an automatized way to well distribute the submitted papers among reviewers has become necessary. We model the peer-reviewing matching problem as a {\it bilevel pr...	[]	Train
37,672	16	Title: Interactive Spatiotemporal Token Attention Network for Skeleton-based General Interactive Action Recognition Abstract: Recognizing interactive action plays an important role in human-robot interaction and collaboration. Previous methods use late fusion and co-attention mechanism to capture interactive relations,...	[ 40224, 8854 ]	Train
37,673	36	Title: A Game-Theoretic Approach to Solving the Roman Domination Problem Abstract: The Roamn domination problem is one important combinatorial optimization problem that is derived from an old story of defending the Roman Empire and now regains new significance in cyber space security, considering backups in the face of...	[]	Train
37,674	30	Title: Gender bias and stereotypes in Large Language Models Abstract: Large Language Models (LLMs) have made substantial progress in the past several months, shattering state-of-the-art benchmarks in many domains. This paper investigates LLMs' behavior with respect to gender stereotypes, a known issue for prior models....	[ 31904, 12067, 37195, 40693, 20794, 35580 ]	Validation
37,675	24	Title: GroupEnc: encoder with group loss for global structure preservation Abstract: Recent advances in dimensionality reduction have achieved more accurate lower-dimensional embeddings of high-dimensional data. In addition to visualisation purposes, these embeddings can be used for downstream processing, including bat...	[ 45401 ]	Validation
37,676	28	Title: Can Sparse Arrays Outperform Collocated Arrays for Future Wireless Communications? Abstract: Multiple-input multiple-output (MIMO) has become a key technology for contemporary wireless communication systems. For typical MIMO systems, antenna arrays are separated by half of the signal wavelength, which are termed...	[ 33872, 20570 ]	Train
37,677	24	Title: Discriminative Entropy Clustering and its Relation to K-means and SVM Abstract: Maximization of mutual information between the model's input and output is formally related to"decisiveness"and"fairness"of the softmax predictions, motivating such unsupervised entropy-based losses for discriminative models. Recent ...	[]	Train

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