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
21,778	30	Title: Neural Codec Language Models are Zero-Shot Text to Speech Synthesizers Abstract: We introduce a language modeling approach for text to speech synthesis (TTS). Specifically, we train a neural codec language model (called Vall-E) using discrete codes derived from an off-the-shelf neural audio codec model, and rega...	[ 36482, 32645, 40966, 19464, 7059, 11929, 6046, 30879, 30243, 9639, 20905, 30378, 37290, 1836, 26153, 39855, 17459, 10804, 18997, 41142, 6455, 19640, 10169, 40119, 443, 11963, 27324, 36285, 43327, 45888, 29760, 32835, 7111, 1608, 14153, 22602, 5...	Test
21,779	4	Title: URSID: Using formalism to Refine attack Scenarios for vulnerable Infrastructure Deployment Abstract: In this paper we propose a novel way of deploying vulnerable architectures for defense and research purposes, which aims to generate deception platforms based on the formal description of a scenario. An attack sc...	[]	Validation
21,780	30	Title: Robust Instruction Optimization for Large Language Models with Distribution Shifts Abstract: Large Language Models have demonstrated significant ability in accomplishing a wide range of Natural Language Processing (NLP) tasks. However, their performance is highly sensitive to the even minor changes in the phrasi...	[ 12128, 15049, 13700, 33464 ]	Validation
21,781	16	Title: AudioEar: Single-View Ear Reconstruction for Personalized Spatial Audio Abstract: Spatial audio, which focuses on immersive 3D sound rendering, is widely applied in the acoustic industry. One of the key problems of current spatial audio rendering methods is the lack of personalization based on different anatomie...	[]	Train
21,782	27	Title: VoxPoser: Composable 3D Value Maps for Robotic Manipulation with Language Models Abstract: Large language models (LLMs) are shown to possess a wealth of actionable knowledge that can be extracted for robot manipulation in the form of reasoning and planning. Despite the progress, most still rely on pre-defined mo...	[ 10624, 17153, 41224, 11548, 7198, 3745, 40610, 295, 33455, 6962, 33715, 15541, 33853, 27457, 38083, 33220, 39114, 11211, 20556, 22094, 3793, 35292, 5481, 37742, 22518, 13816, 37626, 18427, 13564 ]	Validation
21,783	28	Title: Efficient Multiuser AI Downloading via Reusable Knowledge Broadcasting Abstract: For the 6G mobile networks, in-situ model downloading has emerged as an important use case to enable real-time adaptive artificial intelligence on edge devices. However, the simultaneous downloading of diverse and high-dimensional m...	[ 42568 ]	Train
21,784	16	Title: DeepAccident: A Motion and Accident Prediction Benchmark for V2X Autonomous Driving Abstract: Safety is the primary priority of autonomous driving. Nevertheless, no published dataset currently supports the direct and explainable safety evaluation for autonomous driving. In this work, we propose DeepAccident, a l...	[ 13490, 21654, 7416, 35581, 44574 ]	Validation
21,785	16	Title: The Second-place Solution for CVPR VISION 23 Challenge Track 1 - Data Effificient Defect Detection Abstract: The Vision Challenge Track 1 for Data-Effificient Defect Detection requires competitors to instance segment 14 industrial inspection datasets in a data-defificient setting. This report introduces the tech...	[]	Test
21,786	30	Title: Modular Visual Question Answering via Code Generation Abstract: We present a framework that formulates visual question answering as modular code generation. In contrast to prior work on modular approaches to VQA, our approach requires no additional training and relies on pre-trained language models (LMs), visual...	[ 10624, 33853 ]	Train
21,787	16	Title: ACF-Net: An Attention-enhanced Co-interactive Fusion Network for Automated Structural Condition Assessment in Visual Inspection Abstract: Efficiently monitoring the condition of civil infrastructures necessitates automating the structural condition assessment in visual inspection. This paper proposes an Attentio...	[]	Train
21,788	36	Title: Learning in Repeated Multi-Unit Pay-As-Bid Auctions Abstract: Motivated by Carbon Emissions Trading Schemes, Treasury Auctions, and Procurement Auctions, which all involve the auctioning of homogeneous multiple units, we consider the problem of learning how to bid in repeated multi-unit pay-as-bid auctions. In e...	[ 20296, 9298, 40227, 32624 ]	Validation
21,789	24	Title: On the Importance of Feature Representation for Flood Mapping using Classical Machine Learning Approaches Abstract: Climate change has increased the severity and frequency of weather disasters all around the world. Flood inundation mapping based on earth observation data can help in this context, by providing ch...	[]	Train
21,790	10	Title: Rumor Detection with Diverse Counterfactual Evidence Abstract: The growth in social media has exacerbated the threat of fake news to individuals and communities. This draws increasing attention to developing efficient and timely rumor detection methods. The prevailing approaches resort to graph neural networks (...	[ 37381, 41606, 37719 ]	Train
21,791	16	Title: Towards Fair Face Verification: An In-depth Analysis of Demographic Biases Abstract: Deep learning-based person identification and verification systems have remarkably improved in terms of accuracy in recent years; however, such systems, including widely popular cloud-based solutions, have been found to exhibit ...	[ 20071 ]	Train
21,792	6	Title: IMUPoser: Full-Body Pose Estimation using IMUs in Phones, Watches, and Earbuds Abstract: Tracking body pose on-the-go could have powerful uses in fitness, mobile gaming, context-aware virtual assistants, and rehabilitation. However, users are unlikely to buy and wear special suits or sensor arrays to achieve thi...	[ 25651, 9727 ]	Test
21,793	30	Title: Advancing Neural Encoding of Portuguese with Transformer Albertina PT- Abstract: To advance the neural encoding of Portuguese (PT), and a fortiori the technological preparation of this language for the digital age, we developed a Transformer-based foundation model that sets a new state of the art in this respect...	[ 23898 ]	Validation
21,794	30	Title: Can Large Language Models Transform Computational Social Science? Abstract: Large Language Models (LLMs) like ChatGPT are capable of successfully performing many language processing tasks zero-shot (without the need for training data). If this capacity also applies to the coding of social phenomena like persuasi...	[ 39680, 20228, 23559, 35465, 3861, 39325, 19232, 9252, 17190, 17577, 37931, 16556, 9780, 12602, 45631, 26305, 33477, 29258, 846, 29008, 28369, 5202, 12500, 31189, 13654, 20822, 39642, 9821, 4317, 12128, 35051, 34545, 1273, 35580 ]	Validation
21,795	24	Title: Stochastic Contextual Bandits with Long Horizon Rewards Abstract: The growing interest in complex decision-making and language modeling problems highlights the importance of sample-efficient learning over very long horizons. This work takes a step in this direction by investigating contextual linear bandits wher...	[]	Test
21,796	10	Title: What's meant by explainable model: A Scoping Review Abstract: We often see the term explainable in the titles of papers that describe applications based on artificial intelligence (AI). However, the literature in explainable artificial intelligence (XAI) indicates that explanations in XAI are application- and do...	[]	Validation
21,797	24	Title: Tensor Programs IVb: Adaptive Optimization in the Infinite-Width Limit Abstract: Going beyond stochastic gradient descent (SGD), what new phenomena emerge in wide neural networks trained by adaptive optimizers like Adam? Here we show: The same dichotomy between feature learning and kernel behaviors (as in SGD) h...	[]	Test
21,798	24	Title: Generating Synthetic Datasets by Interpolating along Generalized Geodesics Abstract: Data for pretraining machine learning models often consists of collections of heterogeneous datasets. Although training on their union is reasonable in agnostic settings, it might be suboptimal when the target domain -- where th...	[ 31753, 20222 ]	Test
21,799	4	Title: Battle Ground: Data Collection and Labeling of CTF Games to Understand Human Cyber Operators Abstract: Industry standard frameworks are now widespread for labeling the high-level stages and granular actions of attacker and defender behavior in cyberspace. While these labels are used for atomic actions, and to so...	[]	Train
21,800	3	Title: AI4GCC - Team: Below Sea Level: Score and Real World Relevance Abstract: As our submission for track three of the AI for Global Climate Cooperation (AI4GCC) competition, we propose a negotiation protocol for use in the RICE-N climate-economic simulation. Our proposal seeks to address the challenges of carbon lea...	[]	Train
21,801	4	Title: Blockchain-Powered Supply Chain Management for Kidney Organ Preservation Abstract: Due to the shortage of available kidney organs for transplants, handling every donor kidney with utmost care is crucial to preserve the organ's health, especially during the organ supply chain where kidneys are prone to deteriorat...	[]	Train
21,802	16	Title: Pseudo Flow Consistency for Self-Supervised 6D Object Pose Estimation Abstract: Most self-supervised 6D object pose estimation methods can only work with additional depth information or rely on the accurate annotation of 2D segmentation masks, limiting their application range. In this paper, we propose a 6D obje...	[ 22369, 34497, 36257, 35287, 11995 ]	Train
21,803	10	Title: On the meaning of uncertainty for ethical AI: philosophy and practice Abstract: Whether and how data scientists, statisticians and modellers should be accountable for the AI systems they develop remains a controversial and highly debated topic, especially given the complexity of AI systems and the difficulties i...	[]	Validation
21,804	30	Title: Towards cross-language prosody transfer for dialog Abstract: Speech-to-speech translation systems today do not adequately support use for dialog purposes. In particular, nuances of speaker intent and stance can be lost due to improper prosody transfer. We present an exploration of what needs to be done to overco...	[ 40920 ]	Train
21,805	7	Title: Computing formation enthalpies through an explainable machine learning method: the case of Lanthanide Orthophosphates solid solutions Abstract: In the last decade, the use of Machine and Deep Learning (MDL) methods in Condensed Matter physics has seen a steep increase in the number of problems tackled and method...	[]	Validation
21,806	30	Title: Mitigating Backdoor Poisoning Attacks through the Lens of Spurious Correlation Abstract: Modern NLP models are often trained over large untrusted datasets, raising the potential for a malicious adversary to compromise model behaviour. For instance, backdoors can be implanted through crafting training instances w...	[ 11178, 34076, 10749 ]	Train
21,807	3	Title: Waiting, Banning, and Embracing: An Empirical Analysis of Adapting Policies for Generative AI in Higher Education Abstract: Generative AI tools such as ChatGPT have recently gained significant attention in higher education. This study aims to understand how universities establish policies regarding the use of AI...	[ 42586 ]	Train
21,808	24	Title: Harnessing Collective Intelligence Under a Lack of Cultural Consensus Abstract: Harnessing collective intelligence to drive effective decision-making and collaboration benefits from the ability to detect and characterize heterogeneity in consensus beliefs. This is particularly true in domains such as technology ...	[]	Train
21,809	4	Title: FLAIRS: FPGA-Accelerated Inference-Resistant & Secure Federated Learning Abstract: Federated Learning (FL) has become very popular since it enables clients to train a joint model collaboratively without sharing their private data. However, FL has been shown to be susceptible to backdoor and inference attacks. Wh...	[]	Train
21,810	30	Title: Visual Semantic Relatedness Dataset for Image Captioning Abstract: Modern image captioning system relies heavily on extracting knowledge from images to capture the concept of a static story. In this paper, we propose a textual visual context dataset for captioning, in which the publicly available dataset COCO Ca...	[]	Train
21,811	16	Title: ReSup: Reliable Label Noise Suppression for Facial Expression Recognition Abstract: Because of the ambiguous and subjective property of the facial expression recognition (FER) task, the label noise is widely existing in the FER dataset. For this problem, in the training phase, current FER methods often directly ...	[]	Test
21,812	27	Title: Reducing Object Detection Uncertainty from RGB and Thermal Data for UAV Outdoor Surveillance Abstract: Recent advances in Unmanned Aerial Vehicles (UAVs) have resulted in their quick adoption for wide a range of civilian applications, including precision agriculture, biosecurity, disaster monitoring and surveill...	[]	Validation
21,813	25	Title: Learning From Yourself: A Self-Distillation Method for Fake Speech Detection Abstract: In this paper, we propose a novel self-distillation method for fake speech detection (FSD), which can significantly improve the performance of FSD without increasing the model complexity. For FSD, some fine-grained information...	[ 11288, 23080, 13552, 36552 ]	Train
21,814	24	Title: RecNet: Early Attention Guided Feature Recovery Abstract: Uncertainty in sensors results in corrupted input streams and hinders the performance of Deep Neural Networks (DNN), which focus on deducing information from data. However, for sensors with multiple input streams, the relevant information among the stream...	[]	Test
21,815	30	Title: Exploring In-Context Learning Capabilities of Foundation Models for Generating Knowledge Graphs from Text Abstract: Knowledge graphs can represent information about the real-world using entities and their relations in a structured and semantically rich manner and they enable a variety of downstream applications ...	[ 27801, 634, 43327 ]	Validation
21,816	27	Title: DRAGON: A Dialogue-Based Robot for Assistive Navigation with Visual Language Grounding Abstract: Persons with visual impairments (PwVI) have difficulties understanding and navigating spaces around them. Current wayfinding technologies either focus solely on navigation or provide limited communication about the e...	[ 42987 ]	Test
21,817	2	Title: If At First You Don't Succeed: Extended Monitorability through Multiple Executions Abstract: This paper investigates the observational capabilities of monitors that can observe a system over multiple runs. We study how the augmented monitoring setup affect the class of properties that can be verified at runtime,...	[]	Train
21,818	30	Title: Assessing Keyness using Permutation Tests Abstract: We propose a resampling-based approach for assessing keyness in corpus linguistics based on suggestions by Gries (2006, 2022). Traditional approaches based on hypothesis tests (e.g. Likelihood Ratio) model the copora as independent identically distributed sampl...	[]	Test
21,819	24	Title: Fair Machine Unlearning: Data Removal while Mitigating Disparities Abstract: As public consciousness regarding the collection and use of personal information by corporations grows, it is of increasing importance that consumers be active participants in the curation of corporate datasets. In light of this, data g...	[ 35161, 22716 ]	Test
21,820	30	Title: Multidimensional Evaluation for Text Style Transfer Using ChatGPT Abstract: We investigate the potential of ChatGPT as a multidimensional evaluator for the task of \emph{Text Style Transfer}, alongside, and in comparison to, existing automatic metrics as well as human judgements. We focus on a zero-shot setting,...	[ 12128, 16822, 12087, 44246, 35545, 16827, 1789 ]	Train
21,821	30	Title: Can a Frozen Pretrained Language Model be used for Zero-shot Neural Retrieval on Entity-centric Questions? Abstract: Neural document retrievers, including dense passage retrieval (DPR), have outperformed classical lexical-matching retrievers, such as BM25, when fine-tuned and tested on specific question-answerin...	[]	Train
21,822	24	Title: Ship-D: Ship Hull Dataset for Design Optimization using Machine Learning Abstract: Machine learning has recently made significant strides in reducing design cycle time for complex products. Ship design, which currently involves years long cycles and small batch production, could greatly benefit from these advanc...	[]	Train
21,823	24	Title: Long-Term Stable Electromyography Classification Using Canonical Correlation Analysis Abstract: Discrimination of hand gestures based on the decoding of surface electromyography (sEMG) signals is a well-establish approach for controlling prosthetic devices and for Human-Machine Interfaces (HMI). However, despite...	[]	Train
21,824	6	Title: Understanding Social Context from Smartphone Sensing: Generalization Across Countries and Daily Life Moments Abstract: Understanding and longitudinally tracking the social context of people help in understanding their behavior and mental well-being better. Hence, instead of burdensome questionnaires, some studie...	[ 44798 ]	Test
21,825	30	Title: 2x Faster Language Model Pre-training via Masked Structural Growth Abstract: Acceleration of large language model pre-training is a critical issue in present NLP research. In this paper, we focus on speeding up pre-training by progressively growing from a small Transformer structure to a large one. There are two...	[ 33220, 23029, 4639 ]	Train
21,826	24	Title: Beyond the Meta: Leveraging Game Design Parameters for Patch-Agnostic Esport Analytics Abstract: Esport games comprise a sizeable fraction of the global games market, and is the fastest growing segment in games. This has given rise to the domain of esports analytics, which uses telemetry data from games to infor...	[]	Validation
21,827	3	Title: Modeling Digital Penetration of the Industrialized Society and its Ensuing Transfiguration Abstract: The Fourth Industrial Revolution, ushered by the deeper integration of digital technologies into professional and social spaces, provides an opportunity to meaningfully serve society. Humans have tremendous capab...	[]	Train
21,828	16	Title: Mixture of Diffusers for scene composition and high resolution image generation Abstract: Diffusion methods have been proven to be very effective to generate images while conditioning on a text prompt. However, and although the quality of the generated images is unprecedented, these methods seem to struggle when...	[ 45933, 40943, 30360, 40828, 10527 ]	Train
21,829	27	Title: Estimation of User's World Model Using Graph2vec Abstract: To obtain advanced interaction between autonomous robots and users, robots should be able to distinguish their state space representations (i.e., world models). Herein, a novel method was proposed for estimating the user's world model based on queries. I...	[]	Train
21,830	28	Title: Cross-Layer Federated Learning Optimization in MIMO Networks Abstract: In this paper, the performance optimization of federated learning (FL), when deployed over a realistic wireless multiple-input multiple-output (MIMO) communication system with digital modulation and over-the-air computation (AirComp) is studi...	[]	Train
21,831	24	Title: EZClone: Improving DNN Model Extraction Attack via Shape Distillation from GPU Execution Profiles Abstract: Deep Neural Networks (DNNs) have become ubiquitous due to their performance on prediction and classification problems. However, they face a variety of threats as their usage spreads. Model extraction attac...	[]	Train
21,832	16	Title: dugMatting: Decomposed-Uncertainty-Guided Matting Abstract: Cutting out an object and estimating its opacity mask, known as image matting, is a key task in image and video editing. Due to the highly ill-posed issue, additional inputs, typically user-defined trimaps or scribbles, are usually needed to reduce the ...	[]	Train
21,833	16	Title: Advances in deep concealed scene understanding Abstract: nan	[ 7680, 37218, 3524, 38632, 10089, 32619, 41008, 12499, 34074, 22334 ]	Train
21,834	16	Title: The Role of Pre-training Data in Transfer Learning Abstract: The transfer learning paradigm of model pre-training and subsequent fine-tuning produces high-accuracy models. While most studies recommend scaling the pre-training size to benefit most from transfer learning, a question remains: what data and method s...	[ 35216, 29509, 35784 ]	Train
21,835	28	Title: Ergodic Capacity of Dyadic Fading Channels in Ultra Low-SNR Regime Abstract: In a mobile wireless channel, the small-scale multipath fading induces temporal channel fluctuations in the form of peaks and deep fades. The channel capacity degradation with fading severity in the high signal-to-noise ratio (SNR) regi...	[]	Train
21,836	23	Title: Dependency Update Strategies and Package Characteristics Abstract: Managing project dependencies is a key maintenance issue in software development. Developers need to choose an update strategy that allows them to receive important updates and fixes while protecting them from breaking changes. Semantic Versionin...	[]	Train
21,837	8	Title: Experimental Demonstration of Network Convergence with Coherent and AnalogRadio-over-Fibre signals For Densified 5.5G/6G Small Cell Networks Abstract: In this work we analyse and demonstrate the coexistence of digital coherent and analogue radio over fibre signals over an access-metro transmission network and fi...	[ 13340 ]	Train
21,838	27	Title: Decentralized Multi-Agent Reinforcement Learning with Global State Prediction Abstract: Deep reinforcement learning (DRL) has seen remarkable success in the control of single robots. However, applying DRL to robot swarms presents significant challenges. A critical challenge is non-stationarity, which occurs when...	[]	Train
21,839	4	Title: No One Size (PPM) Fits All: Towards Privacy in Stream Processing Systems Abstract: Stream processing systems (SPSs) have been designed to process data streams in real-time, allowing organizations to analyze and act upon data on-the-fly, as it is generated. However, handling sensitive or personal data in these mu...	[ 42170 ]	Train
21,840	16	Title: TransDocAnalyser: A Framework for Offline Semi-structured Handwritten Document Analysis in the Legal Domain Abstract: State-of-the-art offline Optical Character Recognition (OCR) frameworks perform poorly on semi-structured handwritten domain-specific documents due to their inability to localize and label form f...	[]	Train
21,841	30	Title: Enhancing Cross-lingual Transfer via Phonemic Transcription Integration Abstract: Previous cross-lingual transfer methods are restricted to orthographic representation learning via textual scripts. This limitation hampers cross-lingual transfer and is biased towards languages sharing similar well-known scripts. ...	[ 5265 ]	Test
21,842	10	Title: Exploring & Exploiting High-Order Graph Structure for Sparse Knowledge Graph Completion Abstract: Sparse knowledge graph (KG) scenarios pose a challenge for previous Knowledge Graph Completion (KGC) methods, that is, the completion performance decreases rapidly with the increase of graph sparsity. This problem i...	[ 4051 ]	Train
21,843	24	Title: Robust Consensus Clustering and its Applications for Advertising Forecasting Abstract: Consensus clustering aggregates partitions in order to ﬁnd a better ﬁt by reconciling clustering results from different sources/executions. In practice, there exist noise and outliers in clustering task, which, however, may si...	[]	Validation
21,844	16	Title: From Fake to Real (FFR): A two-stage training pipeline for mitigating spurious correlations with synthetic data Abstract: Visual recognition models are prone to learning spurious correlations induced by an imbalanced training set where certain groups (\eg Females) are under-represented in certain classes (\eg Pr...	[ 8309 ]	Train
21,845	31	Title: SimCGNN: Simple Contrastive Graph Neural Network for Session-based Recommendation Abstract: Session-based recommendation (SBR) problem, which focuses on next-item prediction for anonymous users, has received increasingly more attention from researchers. Existing graph-based SBR methods all lack the ability to di...	[]	Train
21,846	16	Title: F2-NeRF: Fast Neural Radiance Field Training with Free Camera Trajectories Abstract: This paper presents a novel grid-based NeRF called F2- NeRF (Fast-Free-NeRF) for novel view synthesis, which enables arbitrary input camera trajectories and only costs a few minutes for training. Existing fast grid-based NeRF tr...	[ 21170, 17075, 19781, 30835 ]	Train
21,847	16	Title: Unsupervised Learning of Style-Aware Facial Animation from Real Acting Performances Abstract: This paper presents a novel approach for text/speech-driven animation of a photo-realistic head model based on blend-shape geometry, dynamic textures, and neural rendering. Training a VAE for geometry and texture yields...	[ 1540 ]	Train
21,848	24	Title: A dynamic risk score for early prediction of cardiogenic shock using machine learning Abstract: Myocardial infarction and heart failure are major cardiovascular diseases that affect millions of people in the US. The morbidity and mortality are highest among patients who develop cardiogenic shock. Early recogniti...	[]	Train
21,849	30	Title: Lifting the Curse of Capacity Gap in Distilling Language Models Abstract: Pretrained language models (LMs) have shown compelling performance on various downstream tasks, but unfortunately they require a tremendous amount of inference compute. Knowledge distillation finds a path to compress LMs to small ones with...	[ 20467, 20223 ]	Validation
21,850	22	Title: C-rusted: The Advantages of Rust, in C, without the Disadvantages Abstract: C-rusted is an innovative technology whereby C programs can be (partly) annotated so as to express: ownership, exclusivity and shareability of language, system and user-defined resources; dynamic properties of objects and the way they ev...	[]	Train
21,851	10	Title: Synthesis of Mathematical programs from Natural Language Specifications Abstract: Several decision problems that are encountered in various business domains can be modeled as mathematical programs, i.e. optimization problems. The process of conducting such modeling often requires the involvement of experts train...	[]	Train
21,852	3	Title: Designing Theory-Driven Analytics-Enhanced Self-Regulated Learning Applications Abstract: nan	[ 2154, 29495 ]	Test
21,853	16	Title: R2Det: Redemption from Range-view for Accurate 3D Object Detection Abstract: LiDAR-based 3D object detection is of paramount importance for autonomous driving. Recent trends show a remarkable improvement for bird's-eye-view (BEV) based and point-based methods as they demonstrate superior performance compared to ...	[ 1733, 12510, 45087 ]	Train
21,854	34	Title: Fit Like You Sample: Sample-Efficient Generalized Score Matching from Fast Mixing Markov Chains Abstract: Score matching is an approach to learning probability distributions parametrized up to a constant of proportionality (e.g. Energy-Based Models). The idea is to fit the score of the distribution, rather than ...	[ 20113 ]	Train
21,855	13	Title: Multi-objective optimization of energy consumption and execution time in a single level cache memory for embedded systems Abstract: nan	[ 35151 ]	Test
21,856	16	Title: Bio-Inspired Night Image Enhancement Based on Contrast Enhancement and Denoising Abstract: nan	[]	Validation
21,857	24	Title: Multimodal Federated Learning via Contrastive Representation Ensemble Abstract: With the increasing amount of multimedia data on modern mobile systems and IoT infrastructures, harnessing these rich multimodal data without breaching user privacy becomes a critical issue. Federated learning (FL) serves as a privac...	[ 8423, 1610, 21394, 36537, 27194 ]	Train
21,858	6	Title: Has the Virtualization of the Face Changed Facial Perception? A Study of the Impact of Augmented Reality on Facial Perception Abstract: Augmented reality and other photo editing filters are popular methods used to modify images, especially images of faces, posted online. Considering the important role of human f...	[]	Validation
21,859	30	Title: Identifying the style by a qualified reader on a short fragment of generated poetry Abstract: Style is an important concept in today's challenges in natural language generating. After the success in the field of image style transfer, the task of text style transfer became actual and attractive. Researchers are a...	[]	Validation
21,860	24	Title: Developing Hybrid Machine Learning Models to Assign Health Score to Railcar Fleets for Optimal Decision Making Abstract: A large amount of data is generated during the operation of a railcar ﬂeet, which can easily lead to dimensional disaster and reduce the resiliency of the railcar network. To solve these issue...	[]	Train
21,861	27	Title: A Biomimetic Fingerprint for Robotic Tactile Sensing Abstract: Tactile sensors have been developed since the early '70s and have greatly improved, but there are still no widely adopted solutions. Various technologies, such as capacitive, piezoelectric, piezoresistive, optical, and magnetic, are used in haptic se...	[]	Test
21,862	16	Title: Focusing On Targets For Improving Weakly Supervised Visual Grounding Abstract: Weakly supervised visual grounding aims to predict the region in an image that corresponds to a specific linguistic query, where the mapping between the target object and query is unknown in the training stage. The state-of-the-art me...	[]	Train
21,863	24	Title: Conformalized Unconditional Quantile Regression Abstract: We develop a predictive inference procedure that combines conformal prediction (CP) with unconditional quantile regression (QR) -- a commonly used tool in econometrics that involves regressing the recentered influence function (RIF) of the quantile functi...	[ 11414 ]	Test
21,864	30	Title: HADES: Homologous Automated Document Exploration and Summarization Abstract: This paper introduces HADES, a novel tool for automatic comparative documents with similar structures. HADES is designed to streamline the work of professionals dealing with large volumes of documents, such as policy documents, legal ac...	[]	Train
21,865	24	Title: Design Principles for Generalization and Scalability of AI in Communication Systems Abstract: Artificial intelligence (AI) has emerged as a powerful tool for addressing complex and dynamic tasks in communication systems, where traditional rule-based algorithms often struggle. However, most AI applications to net...	[]	Validation
21,866	23	Title: A study on the impact of pre-trained model on Just-In-Time defect prediction Abstract: Previous researchers conducting Just-In-Time (JIT) defect prediction tasks have primarily focused on the performance of individual pre-trained models, without exploring the relationship between different pre-trained models as ...	[]	Train
21,867	24	Title: Tensor Denoising via Amplification and Stable Rank Methods Abstract: Tensors in the form of multilinear arrays are ubiquitous in data science applications. Captured real-world data, including video, hyperspectral images, and discretized physical systems, naturally occur as tensors and often come with attendant n...	[]	Test
21,868	30	Title: Open-world Semi-supervised Generalized Relation Discovery Aligned in a Real-world Setting Abstract: Open-world Relation Extraction (OpenRE) has recently garnered significant attention. However, existing approaches tend to oversimplify the problem by assuming that all unlabeled texts belong to novel classes, ther...	[ 26578, 3795 ]	Validation
21,869	6	Title: The Relationship between Loneliness and Depression among College Students: Mining data derived from Passive Sensing Abstract: Loneliness and depression are interrelated mental health issues affecting students well-being. Using passive sensing data provides a novel approach to examine the granular behavioural ind...	[]	Train
21,870	34	Title: Near Tight Shortest Paths in the Hybrid Model Abstract: Shortest paths problems are subject to extensive studies in classic distributed models such as the CONGEST or Congested Clique. These models dictate how nodes may communicate in order to determine shortest paths in a distributed input graph. This article fo...	[ 25778 ]	Validation
21,871	2	Title: Towards a geometry for syntax Abstract: It often happens that free algebras for a given theory satisfy useful reasoning principles that are not preserved under homomorphisms of algebras, and hence need not hold in an arbitrary algebra. For instance, if $M$ is the free monoid on a set $A$, then the scalar multipl...	[ 22884 ]	Test
21,872	30	Title: CMOT: Cross-modal Mixup via Optimal Transport for Speech Translation Abstract: End-to-end speech translation (ST) is the task of translating speech signals in the source language into text in the target language. As a cross-modal task, end-to-end ST is difficult to train with limited data. Existing methods often...	[ 14481, 35763, 20853 ]	Train
21,873	23	Title: No Need to Lift a Finger Anymore? Assessing the Quality of Code Generation by ChatGPT Abstract: Large language models (LLMs) have demonstrated impressive capabilities across various natural language processing (NLP) tasks, such as machine translation, question answering, summarization, and so on. Additionally, L...	[ 16987, 42735 ]	Train
21,874	24	Title: A Functional Data Perspective and Baseline On Multi-Layer Out-of-Distribution Detection Abstract: A key feature of out-of-distribution (OOD) detection is to exploit a trained neural network by extracting statistical patterns and relationships through the multi-layer classifier to detect shifts in the expected in...	[]	Train
21,875	8	Title: Accelerating and Compressing Deep Neural Networks for Massive MIMO CSI Feedback Abstract: The recent advances in machine learning and deep neural networks have made them attractive candidates for wireless communications functions such as channel estimation, decoding, and downlink channel state information (CSI) ...	[]	Test
21,876	9	Title: Sum-of-Squares Lower Bounds for Densest k-Subgraph Abstract: Given a graph and an integer k, Densest k-Subgraph is the algorithmic task of finding the subgraph on k vertices with the maximum number of edges. This is a fundamental problem that has been subject to intense study for decades, with applications spann...	[ 11744, 24785, 28998 ]	Train
21,877	16	Title: Multi-Domain Norm-referenced Encoding Enables Data Efficient Transfer Learning of Facial Expression Recognition Abstract: People can innately recognize human facial expressions in unnatural forms, such as when depicted on the unusual faces drawn in cartoons or when applied to an animal's features. However, curre...	[]	Train

Subsets and Splits

No community queries yet

The top public SQL queries from the community will appear here once available.