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
33,878	16	Title: Leaf Cultivar Identification via Prototype-enhanced Learning Abstract: Plant leaf identification is crucial for biodiversity protection and conservation and has gradually attracted the attention of academia in recent years. Due to the high similarity among different varieties, leaf cultivar recognition is also c...	[]	Test
33,879	23	Title: Transpiling RTL Pseudo-code of the POWER Instruction Set Architecture to C for Real-time Performance Analysis on Cavatools Simulator Abstract: This paper presents a transpiler framework for converting RTL pseudo code of the POWER Instruction Set Architecture (ISA) to C code, enabling its execution on the Cavatoo...	[]	Test
33,880	8	Title: Applying SDN to Mobile Networks: A New Perspective for 6G Architecture Abstract: The upcoming Sixth Generation (6G) mobile communications system envisions supporting a variety of use cases with differing characteristics, e.g., very low to extremely high data rates, diverse latency needs, ultra massive connectivi...	[]	Train
33,881	16	Title: Pretraining is All You Need: A Multi-Atlas Enhanced Transformer Framework for Autism Spectrum Disorder Classification Abstract: Autism spectrum disorder (ASD) is a prevalent psychiatric condition characterized by atypical cognitive, emotional, and social patterns. Timely and accurate diagnosis is crucial for eff...	[]	Train
33,882	30	Title: Mitigating Data Imbalance and Representation Degeneration in Multilingual Machine Translation Abstract: Despite advances in multilingual neural machine translation (MNMT), we argue that there are still two major challenges in this area: data imbalance and representation degeneration. The data imbalance problem r...	[]	Train
33,883	24	Title: What Can We Learn from Unlearnable Datasets? Abstract: In an era of widespread web scraping, unlearnable dataset methods have the potential to protect data privacy by preventing deep neural networks from generalizing. But in addition to a number of practical limitations that make their use unlikely, we make a nu...	[ 31447 ]	Train
33,884	30	Title: UniChart: A Universal Vision-language Pretrained Model for Chart Comprehension and Reasoning Abstract: Charts are very popular for analyzing data, visualizing key insights and answering complex reasoning questions about data. To facilitate chart-based data analysis using natural language, several downstream task...	[ 12128, 38208, 45608, 39451, 24479 ]	Train
33,885	4	Title: Database Reconstruction Is Not So Easy and Is Different from Reidentification Abstract: Abstract In recent years, it has been claimed that releasing accurate statistical information on a database is likely to allow its complete reconstruction. Differential privacy has been suggested as the appropriate methodolog...	[]	Test
33,886	8	Title: Joint Service Caching, Communication and Computing Resource Allocation in Collaborative MEC Systems: A DRL-based Two-timescale Approach Abstract: Meeting the strict Quality of Service (QoS) requirements of terminals has imposed a signiffcant challenge on Multiaccess Edge Computing (MEC) systems, due to the limit...	[]	Train
33,887	30	Title: Automatic Counterfactual Augmentation for Robust Text Classification Based on Word-Group Search Abstract: Despite large-scale pre-trained language models have achieved striking results for text classificaion, recent work has raised concerns about the challenge of shortcut learning. In general, a keyword is regar...	[]	Test
33,888	27	Title: Sequential Neural Barriers for Scalable Dynamic Obstacle Avoidance Abstract: There are two major challenges for scaling up robot navigation around dynamic obstacles: the complex interaction dynamics of the obstacles can be hard to model analytically, and the complexity of planning and control grows exponentially...	[]	Validation
33,889	27	Title: Evaluating the validity of a German translation of an uncanniness questionnaire Abstract: When researching on the acceptance of robots in Human-Robot-Interaction the Uncanny Valley needs to be considered. Reusable and standardized measures for it are essential. In this paper one such questionnaire got translated...	[]	Train
33,890	30	Title: LittleMu: Deploying an Online Virtual Teaching Assistant via Heterogeneous Sources Integration and Chain of Teach Prompts Abstract: Teaching assistants have played essential roles in the long history of education. However, few MOOC platforms are providing human or virtual teaching assistants to support learning ...	[]	Validation
33,891	23	Title: Fuzzing for CPS Mutation Testing Abstract: Mutation testing can help reduce the risks of releasing faulty software. For such reason, it is a desired practice for the development of embedded software running in safety-critical cyber-physical systems (CPS). Unfortunately, state-of-the-art test data generation tech...	[]	Train
33,892	24	Title: Logical Message Passing Networks with One-hop Inference on Atomic Formulas Abstract: Complex Query Answering (CQA) over Knowledge Graphs (KGs) has attracted a lot of attention to potentially support many applications. Given that KGs are usually incomplete, neural models are proposed to answer the logical queries...	[ 18852, 7818, 28813, 3534, 3407, 16049, 41368, 15293 ]	Train
33,893	16	Title: Breast Cancer Segmentation using Attention-based Convolutional Network and Explainable AI Abstract: Breast cancer (BC) remains a significant health threat, with no long-term cure currently available. Early detection is crucial, yet mammography interpretation is hindered by high false positives and negatives. Wit...	[ 13628 ]	Test
33,894	16	Title: Periocular biometrics: databases, algorithms and directions Abstract: Periocular biometrics has been established as an independent modality due to concerns on the performance of iris or face systems in uncontrolled conditions. Periocular refers to the facial region in the eye vicinity, including eyelids, lashes ...	[]	Train
33,895	27	Title: Aggregating Single-wheeled Mobile Robots for Omnidirectional Movements Abstract: This paper presents a novel modular robot system that can self-reconfigure to achieve omnidirectional movements for collaborative object transportation. Each robotic module is equipped with a steerable omni-wheel for navigation and ...	[]	Train
33,896	24	Title: Iterative Circuit Repair Against Formal Specifications Abstract: We present a deep learning approach for repairing sequential circuits against formal specifications given in linear-time temporal logic (LTL). Given a defective circuit and its formal specification, we train Transformer models to output circuits th...	[ 28680, 39208, 16034 ]	Test
33,897	24	Title: A Linearly Convergent GAN Inversion-based Algorithm for Reverse Engineering of Deceptions Abstract: An important aspect of developing reliable deep learning systems is devising strategies that make these systems robust to adversarial attacks. There is a long line of work that focuses on developing defenses again...	[]	Train
33,898	10	Title: Procedural Content Generation of Puzzle Games using Conditional Generative Adversarial Networks Abstract: In this article, we present an experimental approach to using parameterized Generative Adversarial Networks (GANs) to produce levels for the puzzle game Lily’s Garden1. We extract two condition-vectors from ...	[ 17423 ]	Validation
33,899	13	Title: Improving Confidence in Evolutionary Mine Scheduling via Uncertainty Discounting Abstract: Mine planning is a complex task that involves many uncertainties. During early stage feasibility, available mineral resources can only be estimated based on limited sampling of ore grades from sparse drilling, leading to l...	[]	Test
33,900	25	Title: Speech Separation based on Contrastive Learning and Deep Modularization Abstract: The current monaural state of the art tools for speech separation relies on supervised learning. This means that they must deal with permutation problem, they are impacted by the mismatch on the number of speakers used in training ...	[]	Train
33,901	24	Title: Multi-Symmetry Ensembles: Improving Diversity and Generalization via Opposing Symmetries Abstract: Deep ensembles (DE) have been successful in improving model performance by learning diverse members via the stochasticity of random initialization. While recent works have attempted to promote further diversity in ...	[]	Train
33,902	24	Title: Detecting Adversarial Data by Probing Multiple Perturbations Using Expected Perturbation Score Abstract: Adversarial detection aims to determine whether a given sample is an adversarial one based on the discrepancy between natural and adversarial distributions. Unfortunately, estimating or comparing two data dis...	[]	Test
33,903	5	Title: Subquadratic Multivalued Asynchronous Byzantine Agreement WHP Abstract: There have been several reductions from multivalued consensus to binary consensus over the past 20 years. To the best of our knowledge, none of them solved it for Byzantine asynchronous settings. In this paper, we close this gap. Moreover, w...	[]	Train
33,904	24	Title: Latent Magic: An Investigation into Adversarial Examples Crafted in the Semantic Latent Space Abstract: Adversarial attacks against Deep Neural Networks(DNN) have been a crutial topic ever since \cite{goodfellow} purposed the vulnerability of DNNs. However, most prior works craft adversarial examples in the pixe...	[ 17618, 39892 ]	Train
33,905	24	Title: Volterra Accentuated Non-Linear Dynamical Admittance (VANYA) to model Deforestation: An Exemplification from the Amazon Rainforest Abstract: Intelligent automation supports us against cyclones, droughts, and seismic events with recent technology advancements. Algorithmic learning has advanced fields like neurosc...	[]	Test
33,906	30	Title: OH, JEEZ! or UH-HUH? A Listener-Aware Backchannel Predictor on ASR Transcriptions Abstract: This paper presents our latest investigation on modeling backchannel in conversations. Motivated by a proactive backchanneling theory, we aim at developing a system which acts as a proactive listener by inserting backchan...	[ 6105 ]	Test
33,907	10	Title: General Purpose Artificial Intelligence Systems (GPAIS): Properties, Definition, Taxonomy, Open Challenges and Implications Abstract: Most applications of Artificial Intelligence (AI) are designed for a confined and specific task. However, there are many scenarios that call for a more general AI, capable of solv...	[ 28896, 43424, 33962, 43641, 42586 ]	Validation
33,908	20	Title: On the Budgeted Hausdorff Distance Problem Abstract: $ \newcommand{\Re}{\mathbb{R}} \newcommand{\reals}{\mathbb{R}} \newcommand{\SetX}{\mathsf{X}} \newcommand{\optX}[1]{#1^\star} \newcommand{\Qopt}{\Mh{\optX{Q}}} \newcommand{\rad}{r} \newcommand{\Mh}[1]{#1} \newcommand{\query}{q} \newcommand{\eps}{\varepsilon} \...	[]	Test
33,909	24	Title: The Boundaries of Verifiable Accuracy, Robustness, and Generalisation in Deep Learning Abstract: In this work, we assess the theoretical limitations of determining guaranteed stability and accuracy of neural networks in classification tasks. We consider classical distribution-agnostic framework and algorithms mi...	[]	Train
33,910	27	Title: Domain Randomization for Robust, Affordable and Effective Closed-loop Control of Soft Robots Abstract: Soft robots are becoming extremely popular thanks to their intrinsic safety to contacts and adaptability. However, the potentially infinite number of Degrees of Freedom makes their modeling a daunting task, and...	[]	Train
33,911	30	Title: Augmenters at SemEval-2023 Task 1: Enhancing CLIP in Handling Compositionality and Ambiguity for Zero-Shot Visual WSD through Prompt Augmentation and Text-To-Image Diffusion Abstract: This paper describes our zero-shot approachesfor the Visual Word Sense Disambiguation(VWSD) Task in English. Our preliminarystudy...	[]	Train
33,912	15	Title: SafeLS: Toward Building a Lockstep NOEL-V Core Abstract: Safety-critical systems such as those in automotive, avionics and space, require appropriate safety measures to avoid silent data corruption upon random hardware errors such as those caused by radiation and other types of electromagnetic interference. Thos...	[]	Test
33,913	16	Title: SOC: Semantic-Assisted Object Cluster for Referring Video Object Segmentation Abstract: This paper studies referring video object segmentation (RVOS) by boosting video-level visual-linguistic alignment. Recent approaches model the RVOS task as a sequence prediction problem and perform multi-modal interaction as ...	[ 44890, 34943 ]	Train
33,914	31	Title: UniRecSys: A Unified Framework for Personalized, Group, Package, and Package-to-Group Recommendations Abstract: Recommender systems aim to enhance the overall user experience by providing tailored recommendations for a variety of products and services. These systems help users make more informed decisions, leadi...	[]	Test
33,915	5	Title: SuperScaler: Supporting Flexible DNN Parallelization via a Unified Abstraction Abstract: With the growing model size, deep neural networks (DNN) are increasingly trained over massive GPU accelerators, which demands a proper parallelization plan that transforms a DNN model into fine-grained tasks and then schedul...	[]	Train
33,916	16	Title: CA2T-Net: Category-Agnostic 3D Articulation Transfer from Single Image Abstract: We present a neural network approach to transfer the motion from a single image of an articulated object to a rest-state (i.e., unarticulated) 3D model. Our network learns to predict the object's pose, part segmentation, and corresp...	[ 42909 ]	Test
33,917	16	Title: Social Occlusion Inference with Vectorized Representation for Autonomous Driving Abstract: Autonomous vehicles must be capable of handling the occlusion of the environment to ensure safe and efficient driving. In urban environment, occlusion often arises due to other vehicles obscuring the perception of the ego ...	[]	Train
33,918	4	Title: New Cross-Core Cache-Agnostic and Prefetcher-based Side-Channels and Covert-Channels Abstract: In this paper, we reveal the existence of a new class of prefetcher, the XPT prefetcher, in the modern Intel processors which has never been officially documented. It speculatively issues a load, bypassing last-level c...	[]	Validation
33,919	28	Title: Secrecy Outage Analysis of Energy Harvesting Relay-based Mixed UOWC-RF Network with Multiple Eavesdroppers Abstract: This work deals with the physical layer security performance of a dual-hop underwater optical communication (UOWC)-radio frequency (RF) network under the intruding attempts of multiple eavesdroppe...	[ 8973 ]	Train
33,920	16	Title: Cyclic Learning: Bridging Image-level Labels and Nuclei Instance Segmentation Abstract: Nuclei instance segmentation on histopathology images is of great clinical value for disease analysis. Generally, fully-supervised algorithms for this task require pixel-wise manual annotations, which is especially time-consu...	[]	Test
33,921	30	Title: Controlling keywords and their positions in text generation Abstract: One of the challenges in text generation is to control generation as intended by a user. Previous studies have proposed to specify the keywords that should be included in the generated text. However, this is insufficient to generate text which...	[]	Test
33,922	16	Title: 2nd Place Winning Solution for the CVPR2023 Visual Anomaly and Novelty Detection Challenge: Multimodal Prompting for Data-centric Anomaly Detection Abstract: This technical report introduces the winning solution of the team Segment Any Anomaly for the CVPR2023 Visual Anomaly and Novelty Detection (VAND) challeng...	[ 1144, 41517, 37029, 18470 ]	Validation
33,923	16	Title: Contactless hand tremor amplitude measurement using smartphones: development and pilot evaluation Abstract: Background: Physiological tremor is defined as an involuntary and rhythmic shaking. Tremor of the hand is a key symptom of multiple neurological diseases, and its frequency and amplitude differs according ...	[]	Train
33,924	36	Title: A Reduction from Chores Allocation to Job Scheduling Abstract: We consider allocating indivisible chores among agents with different cost functions, such that all agents receive a cost of at most a constant factor times their maximin share.	[ 45592, 42142, 25118 ]	Validation
33,925	16	Title: Improving GAN Training via Feature Space Shrinkage Abstract: Due to the outstanding capability for data generation, Generative Adversarial Networks (GANs) have attracted considerable attention in unsupervised learning. However, training GANs is difficult, since the training distribution is dynamic for the discri...	[ 10062 ]	Validation
33,926	31	Title: Disentangled Causal Embedding With Contrastive Learning For Recommender System Abstract: Recommender systems usually rely on observed user interaction data to build personalized recommendation models, assuming that the observed data reflect user interest. However, user interacting with an item may also due to co...	[]	Train
33,927	6	Title: Pixelated Interactions: Exploring Pixel Art for Graphical Primitives on a Pin Array Tactile Display Abstract: Two-dimensional pin array displays enable access to tactile graphics that are important for the education of students with visual impairments. Due to their prohibitive cost and limited access, there is l...	[]	Train
33,928	24	Title: Temporal Graph Benchmark for Machine Learning on Temporal Graphs Abstract: We present the Temporal Graph Benchmark (TGB), a collection of challenging and diverse benchmark datasets for realistic, reproducible, and robust evaluation of machine learning models on temporal graphs. TGB datasets are of large scale, s...	[ 21277, 4933, 11149 ]	Train
33,929	26	Title: Unsupervised Image Classification by Ideological Affiliation from User-Content Interaction Patterns Abstract: The proliferation of political memes in modern information campaigns calls for efficient solutions for image classification by ideological affiliation. While significant advances have recently been made ...	[ 27548 ]	Validation
33,930	38	Title: Electronic Laboratory Notebook on Web2py Framework Abstract: Proper experimental record-keeping is an important cornerstone in research and development for the purpose of auditing. The gold standard of record-keeping is based on the judicious use of physical, permanent notebooks. However, advances in technology ...	[]	Test
33,931	26	Title: Disrupted Routines Anticipate Musical Exploration Abstract: Prior research suggests that taste preferences relate to personality traits, values, shifts in mood, and immigration destination, but understanding everyday patterns of listening and the function music plays in life have remained elusive, despite specul...	[]	Train
33,932	16	Title: LayoutLLM-T2I: Eliciting Layout Guidance from LLM for Text-to-Image Generation Abstract: In the text-to-image generation field, recent remarkable progress in Stable Diffusion makes it possible to generate rich kinds of novel photorealistic images. However, current models still face misalignment issues (e.g., pro...	[ 10624, 16130, 13700, 19172, 41146, 2633, 17642, 44585, 34074, 24622, 15983, 20949, 29527, 22616, 31034, 8509 ]	Train
33,933	24	Title: Does Localization Inform Editing? Surprising Differences in Causality-Based Localization vs. Knowledge Editing in Language Models Abstract: Language models are known to learn a great quantity of factual information during pretraining, and recent work localizes this information to specific model weights like mid-...	[ 30435, 45923, 41766, 12200, 31851, 43883, 16781, 22801, 23602, 8436, 9685, 1333, 33365, 15227 ]	Validation
33,934	16	Title: Ada-DQA: Adaptive Diverse Quality-aware Feature Acquisition for Video Quality Assessment Abstract: Video quality assessment (VQA) has attracted growing attention in recent years. While the great expense of annotating large-scale VQA datasets has become the main obstacle for current deep-learning methods. To surm...	[ 36489 ]	Test
33,935	6	Title: INDCOR White Paper 2: Interactive Narrative Design for Representing Complexity Abstract: This white paper was written by the members of the Work Group focusing on design practices of the COST Action 18230 - Interactive Narrative Design for Complexity Representation (INDCOR, WG1). It presents an overview of Inter...	[ 18789, 36318, 30943 ]	Train
33,936	16	Title: ZoeDepth: Zero-shot Transfer by Combining Relative and Metric Depth Abstract: This paper tackles the problem of depth estimation from a single image. Existing work either focuses on generalization performance disregarding metric scale, i.e. relative depth estimation, or state-of-the-art results on specific datas...	[ 23713, 34950, 15303, 11016, 23815, 41471, 13836, 29137, 20668, 373, 3097, 35162, 4220, 7454, 39551 ]	Train
33,937	16	Title: GSB: Group Superposition Binarization for Vision Transformer with Limited Training Samples Abstract: Affected by the massive amount of parameters, ViT usually suffers from serious overfitting problems with a relatively limited number of training samples. In addition, ViT generally demands heavy computing resourc...	[ 4124 ]	Validation
33,938	27	Title: Modeling and parametric optimization of 3D tendon-sheath actuator system for upper limb soft exosuit Abstract: This paper presents an analysis of parametric characterization of a motor driven tendon-sheath actuator system for use in upper limb augmentation for applications such as rehabilitation, therapy, and in...	[]	Validation
33,939	16	Title: Intriguing properties of synthetic images: from generative adversarial networks to diffusion models Abstract: Detecting fake images is becoming a major goal of computer vision. This need is becoming more and more pressing with the continuous improvement of synthesis methods based on Generative Adversarial Networ...	[ 30402, 24624, 19378, 18066, 20435, 22651 ]	Test
33,940	30	Title: Multi-party Goal Tracking with LLMs: Comparing Pre-training, Fine-tuning, and Prompt Engineering Abstract: This paper evaluates the extent to which current Large Language Models (LLMs) can capture task-oriented multi-party conversations (MPCs). We have recorded and transcribed 29 MPCs between patients, their com...	[ 40135, 31215, 36986, 13911 ]	Train
33,941	23	Title: PyExaFMM: An Exercise in Designing High-Performance Software With Python and Numba Abstract: Numba is a game-changing compiler for high-performance computing with Python. It produces machine code that runs outside of the single-threaded Python interpreter, and that fully utilizes the resources of modern CPUs. Th...	[ 13418 ]	Train
33,942	37	Title: Causal Data Integration Abstract: Causal inference is fundamental to empirical scientific discoveries in natural and social sciences; however, in the process of conducting causal inference, data management problems can lead to false discoveries. Two such problems are (i) not having all attributes required for an...	[ 44420 ]	Train
33,943	16	Title: Supervised Deep Learning for Content-Aware Image Retargeting with Fourier Convolutions Abstract: Image retargeting aims to alter the size of the image with attention to the contents. One of the main obstacles to training deep learning models for image retargeting is the need for a vast labeled dataset. Labeled d...	[]	Test
33,944	16	Title: Change Detection Methods for Remote Sensing in the Last Decade: A Comprehensive Review Abstract: Change detection is an essential and widely utilized task in remote sensing that aims to detect and analyze changes occurring in the same geographical area over time, which has broad applications in urban development...	[ 39584, 22562, 40583, 42599, 42221, 337, 41109, 28598, 38901, 40728, 22654 ]	Train
33,945	30	Title: Lexinvariant Language Models Abstract: Token embeddings, a mapping from discrete lexical symbols to continuous vectors, are at the heart of any language model (LM). However, lexical symbol meanings can also be determined and even redefined by their structural role in a long context. In this paper, we ask: is it ...	[]	Validation
33,946	24	Title: $\beta^{4}$-IRT: A New $\beta^{3}$-IRT with Enhanced Discrimination Estimation Abstract: Item response theory aims to estimate respondent's latent skills from their responses in tests composed of items with different levels of difficulty. Several models of item response theory have been proposed for different ty...	[]	Train
33,947	10	Title: Re-imagining health and well-being in low resource African settings using an augmented AI system and a 3D digital twin Abstract: This paper discusses and explores the potential and relevance of recent developments in artificial intelligence (AI) and digital twins for health and well-being in low-resource African...	[ 9360 ]	Validation
33,948	10	Title: A Parallel Ensemble of Metaheuristic Solvers for the Traveling Salesman Problem Abstract: The travelling salesman problem (TSP) is one of the well-studied NP-hard problems in the literature. The state-of-the art inexact TSP solvers are the Lin-Kernighan-Helsgaun (LKH) heuristic and Edge Assembly crossover (EAX)....	[]	Train
33,949	24	Title: Edit at your own risk: evaluating the robustness of edited models to distribution shifts Abstract: The current trend toward ever-larger models makes standard retraining procedures an ever-more expensive burden. For this reason, there is growing interest in model editing, which enables computationally inexpensive...	[]	Train
33,950	16	Title: Generative models improve fairness of medical classifiers under distribution shifts Abstract: A ubiquitous challenge in machine learning is the problem of domain generalisation. This can exacerbate bias against groups or labels that are underrepresented in the datasets used for model development. Model bias can ...	[ 45104, 10375 ]	Train
33,951	16	Title: Extract-and-Adaptation Network for 3D Interacting Hand Mesh Recovery Abstract: Understanding how two hands interact with each other is a key component of accurate 3D interacting hand mesh recovery. However, recent Transformer-based methods struggle to learn the interaction between two hands as they directly util...	[]	Test
33,952	27	Title: Constrained Prioritized 3T2R Task Control for Robotic Agricultural Spraying Abstract: In this paper, we present a solution for robot arm-controlled agricultural spraying, handling the spraying task as a constrained prioritized 3T2R task. 3T2R tasks in robot manipulation consist of three translational and two rot...	[]	Test
33,953	30	Title: GQA: Training Generalized Multi-Query Transformer Models from Multi-Head Checkpoints Abstract: Multi-query attention (MQA), which only uses a single key-value head, drastically speeds up decoder inference. However, MQA can lead to quality degradation, and moreover it may not be desirable to train a separate mode...	[ 22978, 13700, 425, 44973, 18991, 12753, 24275, 31256, 43641, 4475 ]	Test
33,954	34	Title: On Parallel k-Center Clustering Abstract: We consider the classic k-center problem in a parallel setting, on the low-local-space Massively Parallel Computation (MPC) model, with local space per machine of O (nδ), where δ ∈ (0,1) is an arbitrary constant. As a central clustering problem, the k-center problem has ...	[ 5854 ]	Train
33,955	27	Title: Social Robots Personalisation: At the Crossroads between Engineering and Humanities (CONCATENATE) Abstract: Nowadays, robots are expected to interact more physically, cognitively, and socially with people. They should adapt to unpredictable contexts alongside individuals with various behaviours. For this reason,...	[]	Train
33,956	27	Title: Underwater Intention Recognition using Head Motion and Throat Vibration for Supernumerary Robotic Assistance Abstract: This study presents a multi-modal mechanism for recognizing human intentions while diving underwater, aiming to achieve natural human-robot interactions through an underwater superlimb for divin...	[]	Train
33,957	16	Title: V1T: large-scale mouse V1 response prediction using a Vision Transformer Abstract: Accurate predictive models of the visual cortex neural response to natural visual stimuli remain a challenge in computational neuroscience. In this work, we introduce V1T, a novel Vision Transformer based architecture that learns ...	[]	Train
33,958	30	Title: Towards Summarizing Multiple Documents with Hierarchical Relationships Abstract: Most existing multi-document summarization (MDS) datasets lack human-generated and genuine (i.e., not synthetic) summaries or source documents with explicit inter-document relationships that a summary must capture. To enhance the ca...	[ 3000 ]	Train
33,959	36	Title: Certification Design for a Competitive Market Abstract: ,	[]	Train
33,960	31	Title: Recent Advances in the Foundations and Applications of Unbiased Learning to Rank Abstract: Since its inception, the field of unbiased learning to rank (ULTR) has remained very active and has seen several impactful advancements in recent years. This tutorial provides both an introduction to the core concepts of t...	[ 10466 ]	Train
33,961	30	Title: PURR: Efficiently Editing Language Model Hallucinations by Denoising Language Model Corruptions Abstract: The remarkable capabilities of large language models have been accompanied by a persistent drawback: the generation of false and unsubstantiated claims commonly known as"hallucinations". To combat this issue...	[ 4658, 42747, 15004, 38102 ]	Validation
33,962	3	Title: Connecting the Dots in Trustworthy Artificial Intelligence: From AI Principles, Ethics, and Key Requirements to Responsible AI Systems and Regulation Abstract: Trustworthy Artificial Intelligence (AI) is based on seven technical requirements sustained over three main pillars that should be met throughout the sys...	[ 2930, 33907, 22212, 42318 ]	Train
33,963	5	Title: Blockchain Nodes are Heterogeneous and Your P2P Overlay Should be Too: PODS Abstract: At the core of each blockchain system, parties communicate through a peer-to-peer (P2P) overlay. Unfortunately, recent evidence suggests these P2P overlays represent a significant bottleneck for transaction throughput and scala...	[]	Train
33,964	16	Title: Guided Depth Map Super-Resolution: A Survey Abstract: Guided depth map super-resolution (GDSR), which aims to reconstruct a high-resolution depth map from a low-resolution observation with the help of a paired high-resolution color image, is a longstanding and fundamental problem that has attracted considerable ...	[ 30667 ]	Test
33,965	8	Title: mmHawkeye: Passive UAV Detection with a COTS mmWave Radar Abstract: Small Unmanned Aerial Vehicles (UAVs) are becoming potential threats to security-sensitive areas and personal privacy. A UAV can shoot photos at height, but how to detect such an uninvited intruder is an open problem. This paper presents mmHawke...	[]	Test
33,966	16	Title: MiAMix: Enhancing Image Classification through a Multi-stage Augmented Mixed Sample Data Augmentation Method Abstract: Despite substantial progress in the field of deep learning, overfitting persists as a critical challenge, and data augmentation has emerged as a particularly promising approach due to its capaci...	[ 140, 40028 ]	Test
33,967	6	Title: A Systematic Literature Review of Human-Centered, Ethical, and Responsible AI Abstract: As Artificial Intelligence (AI) continues to advance rapidly, it becomes increasingly important to consider AI's ethical and societal implications. In this paper, we present a bottom-up mapping of the current state of researc...	[ 13314, 32387, 42763, 7824, 17043, 10516, 14612, 29341, 21918, 14750, 33067, 41259, 1857, 5955, 9029, 40394, 27085, 7246, 41679, 5608, 22003, 1657, 20351 ]	Test
33,968	11	Title: Individually Rational Collaborative Vehicle Routing through Give-And-Take Exchanges Abstract: In this paper, we are concerned with the automated exchange of orders between logistics companies in a marketplace platform to optimize total revenues. We introduce a novel multi-agent approach to this problem, focusing...	[]	Test
33,969	16	Title: SimCon Loss with Multiple Views for Text Supervised Semantic Segmentation Abstract: Learning to segment images purely by relying on the image-text alignment from web data can lead to sub-optimal performance due to noise in the data. The noise comes from the samples where the associated text does not correlate wi...	[ 18447 ]	Train
33,970	16	Title: Convolutional neural networks for crack detection on flexible road pavements Abstract: nan	[]	Validation
33,971	16	Title: Enhancing the Prediction of Emotional Experience in Movies using Deep Neural Networks: The Significance of Audio and Language Abstract: Our paper focuses on making use of deep neural network models to accurately predict the range of human emotions experienced during watching movies. In this certain setup, there ...	[]	Train
33,972	16	Title: Multiple Appropriate Facial Reaction Generation in Dyadic Interaction Settings: What, Why and How? Abstract: According to the Stimulus Organism Response (SOR) theory, all human behavioral reactions are stimulated by context, where people will process the received stimulus and produce an appropriate reaction. Thi...	[ 31912, 25059 ]	Train
33,973	16	Title: Construction of unbiased dental template and parametric dental model for precision digital dentistry Abstract: Dental template and parametric dental models are important tools for various applications in digital dentistry. However, constructing an unbiased dental template and accurate parametric dental models re...	[ 22543 ]	Train
33,974	6	Title: Project Aria: A New Tool for Egocentric Multi-Modal AI Research Abstract: Egocentric, multi-modal data as available on future augmented reality (AR) devices provides unique challenges and opportunities for machine perception. These future devices will need to be all-day wearable in a socially acceptable form-fac...	[ 4643, 33220, 11919 ]	Train
33,975	30	Title: Reasoning before Responding: Integrating Commonsense-based Causality Explanation for Empathetic Response Generation Abstract: Recent approaches to empathetic response generation try to incorporate commonsense knowledge or reasoning about the causes of emotions to better understand the user's experiences and feel...	[ 35580, 24350 ]	Train
33,976	31	Title: Decentralized Graph Neural Network for Privacy-Preserving Recommendation Abstract: Building a graph neural network (GNN)-based recommender system without violating user privacy proves challenging. Existing methods can be divided into federated GNNs and decentralized GNNs. But both methods have undesirable effect...	[ 42561 ]	Validation
33,977	16	Title: VPP: Efficient Conditional 3D Generation via Voxel-Point Progressive Representation Abstract: Conditional 3D generation is undergoing a significant advancement, enabling the free creation of 3D content from inputs such as text or 2D images. However, previous approaches have suffered from low inference efficiency...	[ 7776, 19168, 38912, 5539, 17029, 42666, 7569, 28532, 33845, 14842, 37692 ]	Validation

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