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
30,678	16	Title: Colonoscopy Coverage Revisited: Identifying Scanning Gaps in Real-Time Abstract: Colonoscopy is the most widely used medical technique for preventing Colorectal Cancer, by detecting and removing polyps before they become malignant. Recent studies show that around one quarter of the existing polyps are routinely ...	[]	Train
30,679	33	Title: Revisiting Membership Problems in Subclasses of Rational Relations Abstract: We revisit the membership problem for subclasses of rational relations over finite and infinite words: Given a relation R in a class C2, does R belong to a smaller class C1? The subclasses of rational relations that we consider are form...	[]	Test
30,680	16	Title: Joint Perceptual Learning for Enhancement and Object Detection in Underwater Scenarios Abstract: Underwater degraded images greatly challenge existing algorithms to detect objects of interest. Recently, researchers attempt to adopt attention mechanisms or composite connections for improving the feature represent...	[ 32222 ]	Train
30,681	24	Title: Joint Power Control and Data Size Selection for Over-the-Air Computation Aided Federated Learning Abstract: Federated learning (FL) has emerged as an appealing machine learning approach to deal with massive raw data generated at multiple mobile devices, {which needs to aggregate the training model parameter of e...	[]	Validation
30,682	28	Title: Sensing Aided Covert Communications: Turning Interference into Allies Abstract: In this paper, we investigate the realization of covert communication in a general radar-communication cooperation system, which includes integrated sensing and communications as a special example. We explore the possibility of utili...	[]	Train
30,683	16	Title: Medical Image Segmentation with Belief Function Theory and Deep Learning Abstract: Deep learning has shown promising contributions in medical image segmentation with powerful learning and feature representation abilities. However, it has limitations for reasoning with and combining imperfect (imprecise, uncertai...	[]	Train
30,684	16	Title: Divert More Attention to Vision-Language Object Tracking Abstract: Multimodal vision-language (VL) learning has noticeably pushed the tendency toward generic intelligence owing to emerging large foundation models. However, tracking, as a fundamental vision problem, surprisingly enjoys less bonus from recent flou...	[ 26484, 381 ]	Train
30,685	16	Title: UVOSAM: A Mask-free Paradigm for Unsupervised Video Object Segmentation via Segment Anything Model Abstract: Unsupervised video object segmentation has made significant progress in recent years, but the manual annotation of video mask datasets is expensive and limits the diversity of available datasets. The Segm...	[ 10624, 12704, 17633, 13700, 42599, 3305, 18391, 11894, 16150, 14168, 35263 ]	Test
30,686	30	Title: Linking Symptom Inventories using Semantic Textual Similarity Abstract: An extensive library of symptom inventories has been developed over time to measure clinical symptoms, but this variety has led to several long standing issues. Most notably, results drawn from different settings and studies are not comparab...	[]	Train
30,687	3	Title: The Carbon Emissions of Writing and Illustrating Are Lower for AI than for Humans Abstract: As AI systems proliferate, their greenhouse gas emissions are an increasingly important concern for human societies. We analyze the emissions of several AI systems (ChatGPT, BLOOM, DALL-E2, Midjourney) relative to those o...	[]	Train
30,688	24	Title: Behaviour Discriminator: A Simple Data Filtering Method to Improve Offline Policy Learning Abstract: This paper studies the problem of learning a control policy without the need for interactions with the environment; instead, learning purely from an existing dataset. Prior work has demonstrated that offline lear...	[ 7034 ]	Train
30,689	16	Title: Interactive Fashion Content Generation Using LLMs and Latent Diffusion Models Abstract: Fashionable image generation aims to synthesize images of diverse fashion prevalent around the globe, helping fashion designers in real-time visualization by giving them a basic customized structure of how a specific design p...	[ 31562 ]	Train
30,690	16	Title: UnLoc: A Unified Framework for Video Localization Tasks Abstract: While large-scale image-text pretrained models such as CLIP have been used for multiple video-level tasks on trimmed videos, their use for temporal localization in untrimmed videos is still a relatively unexplored task. We design a new approach fo...	[ 44496, 20169 ]	Test
30,691	10	Title: Current and Future Challenges in Knowledge Representation and Reasoning Abstract: Knowledge Representation and Reasoning is a central, longstanding, and active area of Artificial Intelligence. Over the years it has evolved significantly; more recently it has been challenged and complemented by research in areas ...	[]	Train
30,692	6	Title: How do you feel? Measuring User-Perceived Value for Rejecting Machine Decisions in Hate Speech Detection Abstract: Hate speech moderation remains a challenging task for social media platforms. Human-AI collaborative systems offer the potential to combine the strengths of humans’ reliability and the scalability o...	[]	Test
30,693	24	Title: Good-looking but Lacking Faithfulness: Understanding Local Explanation Methods through Trend-based Testing Abstract: While enjoying the great achievements brought by deep learning (DL), people are also worried about the decision made by DL models, since the high degree of non-linearity of DL models makes the dec...	[]	Validation
30,694	8	Title: Zen: LSTM-based generation of individual spatiotemporal cellular traffic with interactions Abstract: Domain-wide recognized by their high value in human presence and activity studies, cellular network datasets (i.e., Charging Data Records, named CdRs), however, present accessibility, usability, and privacy issue...	[]	Test
30,695	16	Title: Efficient Ray Sampling for Radiance Fields Reconstruction Abstract: Accelerating neural radiance fields training is of substantial practical value, as the ray sampling strategy profoundly impacts network convergence. More efficient ray sampling can thus directly enhance existing NeRF models' training efficiency....	[ 40527, 9599 ]	Train
30,696	5	Title: Fast Deterministic Gathering with Detection on Arbitrary Graphs: The Power of Many Robots Abstract: Over the years, much research involving mobile computational entities has been performed. From modeling actual microscopic (and smaller) robots, to modeling software processes on a network, many important problems...	[ 18257 ]	Train
30,697	23	Title: Predicting Code Coverage without Execution Abstract: Code coverage is a widely used metric for quantifying the extent to which program elements, such as statements or branches, are executed during testing. Calculating code coverage is resource-intensive, requiring code building and execution with additional over...	[ 33013 ]	Validation
30,698	26	Title: Beyond Harm: an Ethical Framework to Tackle Misinformation on Social Media Abstract: This paper aims to build an actionable framework for permissible online content moderation to combat misinformation. Often strong content moderation policies are invoked when misinformation causes harm. By adopting Mill's ethica...	[]	Train
30,699	28	Title: Channel Estimation for RIS-Aided mmWave Massive MIMO System Using Few-Bit ADCs Abstract: Millimeter wave (mmWave) massive multiple-input multiple-output (massive MIMO) is one of the most promising technologies for the fifth generation and beyond wireless communication system. However, a large number of antennas ...	[]	Train
30,700	16	Title: Pretrained Deep 2.5D Models for Efficient Predictive Modeling from Retinal OCT Abstract: In the field of medical imaging, 3D deep learning models play a crucial role in building powerful predictive models of disease progression. However, the size of these models presents significant challenges, both in terms of ...	[]	Train
30,701	27	Title: Haptic Transparency and Interaction Force Control for a Lower-Limb Exoskeleton Abstract: Controlling the interaction forces between a human and an exoskeleton is crucial for providing transparency or adjusting assistance or resistance levels. However, it is an open problem to control the interaction forces of lo...	[ 7635 ]	Train
30,702	23	Title: Scenario-based Failure Analysis of Product Systems and their Environment Abstract: During the usage phase, a technical product system is in permanent interaction with its environment. This interaction can lead to failures that significantly endanger the safety of the user and negatively affect the quality and re...	[]	Train
30,703	24	Title: Partitioning-Guided K-Means: Extreme Empty Cluster Resolution for Extreme Model Compression Abstract: Compactness in deep learning can be critical to a model's viability in low-resource applications, and a common approach to extreme model compression is quantization. We consider Iterative Product Quantization (i...	[]	Train
30,704	5	Title: Dynamic Averaging Load Balancing on Arbitrary Graphs Abstract: In this paper we study dynamic averaging load balancing on general graphs. We consider infinite time and dynamic processes, where in every step new load items are assigned to randomly chosen nodes. A matching is chosen, and the load is averaged over ...	[]	Train
30,705	16	Title: Privacy-Preserving Remote Heart Rate Estimation from Facial Videos Abstract: Remote Photoplethysmography (rPPG) is the process of estimating PPG from facial videos. While this approach benefits from contactless interaction, it is reliant on videos of faces, which often constitutes an important privacy concern. R...	[]	Validation
30,706	16	Title: SEM-CS: Semantic CLIPStyler for Text-Based Image Style Transfer Abstract: CLIPStyler demonstrated image style transfer with realistic textures using only a style text description (instead of requiring a reference style image). However, the ground semantics of objects in the style transfer output is lost due to s...	[]	Validation
30,707	22	Title: Compiler Auto-tuning through Multiple Phase Learning Abstract: Widely used compilers like GCC and LLVM usually have hundreds of optimizations controlled by optimization flags, which are enabled or disabled during compilation to improve runtime performance (e.g., small execution time) of the compiler program. Due...	[]	Validation
30,708	23	Title: Pluvio: Assembly Clone Search for Out-of-domain Architectures and Libraries through Transfer Learning and Conditional Variational Information Bottleneck Abstract: The practice of code reuse is crucial in software development for a faster and more efficient development lifecycle. In reality, however, code reuse p...	[]	Train
30,709	16	Title: Toward Foundation Models for Earth Monitoring: Generalizable Deep Learning Models for Natural Hazard Segmentation Abstract: Climate change results in an increased probability of extreme weather events that put societies and businesses at risk on a global scale. Therefore, near real-time mapping of natural hazard...	[]	Train
30,710	28	Title: STAR-RIS Aided Covert Communication Abstract: This paper investigates the multi-antenna covert communications assisted by a simultaneously transmitting and reflecting reconfigurable intelligent surface (STAR-RIS). In particular, to shelter the existence of communications between transmitter and receiver from a w...	[ 22160 ]	Validation
30,711	6	Title: BrickPal: Augmented Reality-based Assembly Instructions for Brick Models Abstract: The assembly instruction is a mandatory component of Lego-like brick sets.The conventional production of assembly instructions requires a considerable amount of manual fine-tuning, which is intractable for casual users and customi...	[]	Validation
30,712	24	Title: Physics-guided training of GAN to improve accuracy in airfoil design synthesis Abstract: Generative adversarial networks (GAN) have recently been used for a design synthesis of mechanical shapes. A GAN sometimes outputs physically unreasonable shapes. For example, when a GAN model is trained to output airfoil sh...	[ 34930 ]	Train
30,713	25	Title: Deep Implicit Distribution Alignment Networks for Cross-Corpus Speech Emotion Recognition Abstract: In this paper, we propose a novel deep transfer learning method called deep implicit distribution alignment networks (DIDAN) to deal with cross-corpus speech emotion recognition (SER) problem, in which the labeled...	[]	Train
30,714	16	Title: EgoLocate: Real-time Motion Capture, Localization, and Mapping with Sparse Body-mounted Sensors Abstract: Human and environment sensing are two important topics in Computer Vision and Graphics. Human motion is often captured by inertial sensors, while the environment is mostly reconstructed using cameras. We int...	[]	Validation
30,715	24	Title: SDYN-GANs: Adversarial Learning Methods for Multistep Generative Models for General Order Stochastic Dynamics Abstract: We introduce adversarial learning methods for data-driven generative modeling of the dynamics of $n^{th}$-order stochastic systems. Our approach builds on Generative Adversarial Networks (GANs)...	[]	Train
30,716	24	Title: Continual Learning for Predictive Maintenance: Overview and Challenges Abstract: nan	[]	Train
30,717	24	Title: Distributional Reinforcement Learning with Dual Expectile-Quantile Regression Abstract: Successful applications of distributional reinforcement learning with quantile regression prompt a natural question: can we use other statistics to represent the distribution of returns? In particular, expectile regression is...	[ 8480, 15201, 9811 ]	Train
30,718	16	Title: Retrieval-augmented Image Captioning Abstract: Inspired by retrieval-augmented language generation and pretrained Vision and Language (V&L) encoders, we present a new approach to image captioning that generates sentences given the input image and a set of captions retrieved from a datastore, as opposed to the im...	[ 30641 ]	Train
30,719	24	Title: Federated Learning and Blockchain-Enabled Fog-IoT Platform for Wearables in Predictive Healthcare Abstract: Over the years, the popularity and usage of wearable Internet of Things (IoT) devices in several healthcare services are increased. Among the services that benefit from the usage of such devices is predict...	[ 30258, 1981 ]	Test
30,720	24	Title: (Re)2H2O: Autonomous Driving Scenario Generation via Reversely Regularized Hybrid Offline-and-Online Reinforcement Learning Abstract: Autonomous driving and its widespread adoption have long held tremendous promise. Nevertheless, without a trustworthy and thorough testing procedure, not only does the industry st...	[]	Test
30,721	8	Title: AI-Oriented Two-Phase Multi-Factor Authentication in SAGINs: Prospects and Challenges Abstract: Space-air-ground integrated networks (SAGINs), which have emerged as an expansion of terrestrial networks, provide flexible access, ubiquitous coverage, high-capacity backhaul, and emergency/disaster recovery for mobi...	[]	Train
30,722	26	Title: Understanding the (In)Effectiveness of Content Moderation: A Case Study of Facebook in the Context of the U.S. Capitol Riot Abstract: Social media networks commonly employ content moderation as a tool to limit the spread of harmful content. However, the efficacy of this strategy in limiting the delivery of harmf...	[ 12274, 30383 ]	Validation
30,723	24	Title: Novel Regression and Least Square Support Vector Machine Learning Technique for Air Pollution Forecasting Abstract: Air pollution is the origination of particulate matter, chemicals, or biological substances that brings pain to either humans or other living creatures or instigates discomfort to the natural habit...	[]	Train
30,724	24	Title: Are Random Decompositions all we need in High Dimensional Bayesian Optimisation? Abstract: Learning decompositions of expensive-to-evaluate black-box functions promises to scale Bayesian optimisation (BO) to high-dimensional problems. However, the success of these techniques depends on finding proper decompositi...	[]	Train
30,725	16	Title: Towards credible visual model interpretation with path attribution Abstract: Originally inspired by game-theory, path attribution framework stands out among the post-hoc model interpretation tools due to its axiomatic nature. However, recent developments show that this framework can still suffer from counter-int...	[ 18823 ]	Train
30,726	27	Title: SPRINT: Scalable Policy Pre-Training via Language Instruction Relabeling Abstract: Pre-training robot policies with a rich set of skills can substantially accelerate the learning of downstream tasks. Prior works have defined pre-training tasks via natural language instructions, but doing so requires tedious huma...	[ 13700, 8084, 12567, 17981, 10943 ]	Test
30,727	37	Title: S2CTrans: Building a bridge from SPARQL to Cypher Abstract: In graph data applications, data is primarily maintained using two models: RDF (Resource Description Framework) and property graph. The property graph model is widely adopted by industry, leading to property graph databases generally outperforming RDF d...	[]	Train
30,728	16	Title: RGB Arabic Alphabets Sign Language Dataset Abstract: This paper introduces the RGB Arabic Alphabet Sign Language (AASL) dataset. AASL comprises 7,856 raw and fully labelled RGB images of the Arabic sign language alphabets, which to our best knowledge is the first publicly available RGB dataset. The dataset is ai...	[ 8424 ]	Train
30,729	16	Title: Towards Generalizable Morph Attack Detection with Consistency Regularization Abstract: Though recent studies have made significant progress in morph attack detection by virtue of deep neural networks, they often fail to generalize well to unseen morph attacks. With numerous morph attacks emerging frequently, gen...	[]	Train
30,730	36	Title: Online fair division with arbitrary entitlements Abstract: The division of goods in the online realm poses opportunities and challenges. While innovative mechanisms can be developed, uncertainty about the future may hinder effective solutions. This project aims to explore fair distribution models for goods among...	[]	Train
30,731	16	Title: RTMPose: Real-Time Multi-Person Pose Estimation based on MMPose Abstract: Recent studies on 2D pose estimation have achieved excellent performance on public benchmarks, yet its application in the industrial community still suffers from heavy model parameters and high latency. In order to bridge this gap, we empi...	[ 18514 ]	Train
30,732	24	Title: SparseProp: Efficient Sparse Backpropagation for Faster Training of Neural Networks Abstract: We provide a new efficient version of the backpropagation algorithm, specialized to the case where the weights of the neural network being trained are sparse. Our algorithm is general, as it applies to arbitrary (unstru...	[ 28470 ]	Train
30,733	24	Title: Marginalized Beam Search Algorithms for Hierarchical HMMs Abstract: Inferring a state sequence from a sequence of measurements is a fundamental problem in bioinformatics and natural language processing. The Viterbi and the Beam Search (BS) algorithms are popular inference methods, but they have limitations when ...	[]	Train
30,734	24	Title: Integrated Decision Gradients: Compute Your Attributions Where the Model Makes Its Decision Abstract: Attribution algorithms are frequently employed to explain the decisions of neural network models. Integrated Gradients (IG) is an influential attribution method due to its strong axiomatic foundation. The algori...	[]	Train
30,735	30	Title: CipherSniffer: Classifying Cipher Types Abstract: Ciphers are a powerful tool for encrypting communication. There are many different cipher types, which makes it computationally expensive to solve a cipher using brute force. In this paper, we frame the decryption task as a classification problem. We first create...	[]	Train
30,736	39	Title: Bisimilar States in Uncertain Structures Abstract: We provide a categorical notion called uncertain bisimilarity, which allows to reason about bisimilarity in combination with a lack of knowledge about the involved systems. Such uncertainty arises naturally in automata learning algorithms, where one investigates...	[]	Validation
30,737	16	Title: Editing Implicit Assumptions in Text-to-Image Diffusion Models Abstract: Text-to-image diffusion models often make implicit assumptions about the world when generating images. While some assumptions are useful (e.g., the sky is blue), they can also be outdated, incorrect, or reflective of social biases present i...	[ 15745, 43867, 39939, 27301, 6953, 1836, 24763, 41517, 16783, 10070, 45080, 15227, 37916 ]	Train
30,738	24	Title: Structure-informed Language Models Are Protein Designers Abstract: This paper demonstrates that language models are strong structure-based protein designers. We present LM-Design, a generic approach to reprogramming sequence-based protein language models (pLMs), that have learned massive sequential evolutionary ...	[ 20070, 20809, 12362, 8939, 14514 ]	Train
30,739	24	Title: Curriculum Learning with Adam: The Devil Is in the Wrong Details Abstract: Curriculum learning (CL) posits that machine learning models -- similar to humans -- may learn more efficiently from data that match their current learning progress. However, CL methods are still poorly understood and, in particular for n...	[]	Train
30,740	27	Title: Virtual Reality Based Robot Teleoperation via Human-Scene Interaction Abstract: Robot teleoperation gains great success in various situations, including chemical pollution rescue, disaster relief, and long-distance manipulation. In this article, we propose a virtual reality (VR) based robot teleoperation system ...	[ 28589 ]	Train
30,741	24	Title: On the relevance of APIs facing fairwashed audits Abstract: Recent legislation required AI platforms to provide APIs for regulators to assess their compliance with the law. Research has nevertheless shown that platforms can manipulate their API answers through fairwashing. Facing this threat for reliable auditin...	[]	Train
30,742	30	Title: Analyzing Vietnamese Legal Questions Using Deep Neural Networks with Biaffine Classifiers Abstract: nan	[]	Train
30,743	24	Title: Is forgetting less a good inductive bias for forward transfer? Abstract: One of the main motivations of studying continual learning is that the problem setting allows a model to accrue knowledge from past tasks to learn new tasks more efficiently. However, recent studies suggest that the key metric that continua...	[ 2883, 25343 ]	Test
30,744	24	Title: Domain-Agnostic Molecular Generation with Self-feedback Abstract: The generation of molecules with desired properties has gained tremendous popularity, revolutionizing the way scientists design molecular structures and providing valuable support for chemical and drug design. However, despite the potential of lan...	[]	Train
30,745	30	Title: Video-LLaMA: An Instruction-tuned Audio-Visual Language Model for Video Understanding Abstract: We present Video-LLaMA, a multi-modal framework that empowers Large Language Models (LLMs) with the capability of understanding both visual and auditory content in the video. Video-LLaMA bootstraps cross-modal trainin...	[ 10624, 17281, 13700, 21892, 37765, 41104, 43415, 3609, 34208, 30243, 12709, 11815, 37799, 10163, 44981, 45116, 8509, 19263, 8903, 969, 14281, 5969, 9810, 25556, 29527, 19677, 37987, 35556, 42983, 13672, 35051, 38894, 12527, 5361, 6770, 28403, 1...	Test
30,746	3	Title: Reflections on the Data Governance Act Abstract: nan	[ 8847 ]	Test
30,747	30	Title: Enhancing Translation for Indigenous Languages: Experiments with Multilingual Models Abstract: This paper describes CIC NLP’s submission to the AmericasNLP 2023 Shared Task on machine translation systems for indigenous languages of the Americas. We present the system descriptions for three methods. We used two m...	[]	Train
30,748	10	Title: Beyond Prompts: Exploring the Design Space of Mixed-Initiative Co-Creativity Systems Abstract: Generative Artificial Intelligence systems have been developed for image, code, story, and game generation with the goal of facilitating human creativity. Recent work on neural generative systems has emphasized one par...	[ 17938, 19405 ]	Train
30,749	24	Title: Beta Thalassemia Carriers detection empowered federated Learning Abstract: Thalassemia is a group of inherited blood disorders that happen when hemoglobin, the protein in red blood cells that carries oxygen, is not made enough. It is found all over the body and is needed for survival. If both parents have thalas...	[]	Train
30,750	22	Title: (Un)Solvable Loop Analysis Abstract: Automatically generating invariants, key to computer-aided analysis of probabilistic and deterministic programs and compiler optimisation, is a challenging open problem. Whilst the problem is in general undecidable, the goal is settled for restricted classes of loops. For the...	[]	Train
30,751	16	Title: DLOFTBs – Fast Tracking of Deformable Linear Objects with B-splines Abstract: While manipulating rigid objects is an extensively explored research topic, deformable linear object (DLO) manipulation seems significantly underdeveloped. A potential reason for this is the inherent difficulty in describing and observ...	[ 1356 ]	Train
30,752	10	Title: The Design Space of Generative Models Abstract: Card et al.'s classic paper"The Design Space of Input Devices"established the value of design spaces as a tool for HCI analysis and invention. We posit that developing design spaces for emerging pre-trained, generative AI models is necessary for supporting their in...	[ 40112, 41839 ]	Test
30,753	16	Title: Improving Human-Object Interaction Detection via Virtual Image Learning Abstract: Human-Object Interaction (HOI) detection aims to understand the interactions between humans and objects, which plays a curtail role in high-level semantic understanding tasks. However, most works pursue designing better architectur...	[ 12764 ]	Train
30,754	16	Title: Learning Global-Local Correspondence with Semantic Bottleneck for Logical Anomaly Detection Abstract: This paper presents a novel framework, named Global-Local Correspondence Framework (GLCF), for visual anomaly detection with logical constraints. Visual anomaly detection has become an active research area in va...	[ 39954, 17581 ]	Train
30,755	28	Title: Mismatched estimation of non-symmetric rank-one matrices corrupted by structured noise Abstract: We study the performance of a Bayesian statistician who estimates a rank-one signal corrupted by non-symmetric rotationally invariant noise with a generic distribution of singular values. As the signal-to-noise ratio...	[]	Test
30,756	24	Title: DIP-RL: Demonstration-Inferred Preference Learning in Minecraft Abstract: In machine learning for sequential decision-making, an algorithmic agent learns to interact with an environment while receiving feedback in the form of a reward signal. However, in many unstructured real-world settings, such a reward signa...	[ 44759 ]	Train
30,757	16	Title: Boosting Weakly-Supervised Image Segmentation via Representation, Transform, and Compensator Abstract: Weakly-supervised image segmentation (WSIS) is a critical task in computer vision that relies on image-level class labels. Multi-stage training procedures have been widely used in existing WSIS approaches to ob...	[ 23320, 14897, 40266, 17335 ]	Train
30,758	8	Title: Robust Deployment and Resource Allocation for Robotic Aerial Base Station Enabled OFDM Integrated Sensing and Communication Abstract: The envisioned robotic aerial base station (RABS) concept is expected to bring further flexibility to integrated sensing and communication (ISAC) systems. In this letter, characte...	[]	Test
30,759	10	Title: AI Hilbert: From Data and Background Knowledge to Automated Scientific Discovery Abstract: The discovery of scientific formulae that parsimoniously explain natural phenomena and align with existing background theory is a key goal in science. Historically, scientists have derived natural laws by manipulating equa...	[ 33220, 45628 ]	Train
30,760	5	Title: Decentralized Healthcare Systems with Federated Learning and Blockchain Abstract: Artificial intelligence (AI) and deep learning techniques have gained significant attraction in recent years, owing to their remarkable capability of achieving high performance across a broad range of applications. However, a cruci...	[]	Train
30,761	16	Title: Binarizing Sparse Convolutional Networks for Efficient Point Cloud Analysis Abstract: In this paper, we propose binary sparse convolutional networks called BSC-Net for efficient point cloud analysis. We empirically observe that sparse convolution operation causes larger quantization errors than standard convolut...	[ 9880, 12903 ]	Train
30,762	16	Title: Credible Remote Sensing Scene Classification Using Evidential Fusion on Aerial-Ground Dual-view Images Abstract: Due to their ability to offer more comprehensive information than data from a single view, multi-view (e.g., multi-source, multi-modal, multi-perspective) data are being used more frequently in remote...	[]	Test
30,763	36	Title: Entropic Risk for Turn-Based Stochastic Games Abstract: Entropic risk (ERisk) is an established risk measure in finance, quantifying risk by an exponential re-weighting of rewards. We study ERisk for the first time in the context of turn-based stochastic games with the total reward objective. This gives rise to ...	[]	Validation
30,764	31	Title: Leveraging Large Language Models for Sequential Recommendation Abstract: Sequential recommendation problems have received increasing attention in research during the past few years, leading to the inception of a large variety of algorithmic approaches. In this work, we explore how large language models (LLMs), w...	[ 33697, 13700, 45898, 24141, 24503, 16179, 30131, 4535, 9917 ]	Train
30,765	16	Title: SS-CPGAN: Self-Supervised Cut-and-Pasting Generative Adversarial Network for Object Segmentation Abstract: This paper proposes a novel self-supervised based Cut-and-Paste GAN to perform foreground object segmentation and generate realistic composite images without manual annotations. We accomplish this goal by a...	[]	Train
30,766	36	Title: Analysis of reward mechanism for quizmarket Abstract: A reward algorithm is needed for games which rewards risk, i.e. early play, and extends the longevity of a reward pool. This would allow a higher number of players and greater engagement. I created a reward mechanism that rewards risk, lasts longer, and is mo...	[]	Test
30,767	24	Title: Explainable AI for tool wear prediction in turning Abstract: This research aims develop an Explainable Artificial Intelligence (XAI) framework to facilitate human-understandable solutions for tool wear prediction during turning. A random forest algorithm was used as the supervised Machine Learning (ML) classifie...	[]	Train
30,768	2	Title: Aczel-Mendler Bisimulations in a Regular Category Abstract: Aczel-Mendler bisimulations are a coalgebraic extension of a variety of computational relations between systems. It is usual to assume that the underlying category satisfies some form of axiom of choice, so that the theory enjoys desirable properties, s...	[]	Train
30,769	6	Title: Your Day in Your Pocket: Complex Activity Recognition from Smartphone Accelerometers Abstract: Human Activity Recognition (HAR) enables context-aware user experiences where mobile apps can alter content and interactions depending on user activities. Hence, smartphones have become valuable for HAR as they allow l...	[ 44798 ]	Train
30,770	30	Title: MCTS: A Multi-Reference Chinese Text Simplification Dataset Abstract: Text simplification aims to make the text easier to understand by applying rewriting transformations. There has been very little research on Chinese text simplification for a long time. The lack of generic evaluation data is an essential reaso...	[ 12128, 43221, 12087, 43930, 35580 ]	Train
30,771	16	Title: VideoPro: A Visual Analytics Approach for Interactive Video Programming Abstract: Constructing supervised machine learning models for real-world video analysis require substantial labeled data, which is costly to acquire due to scarce domain expertise and laborious manual inspection. While data programming shows...	[ 33848, 43427, 29023 ]	Train
30,772	24	Title: An Empirical Analysis of the Shift and Scale Parameters in BatchNorm Abstract: Batch Normalization (BatchNorm) is a technique that improves the training of deep neural networks, especially Convolutional Neural Networks (CNN). It has been empirically demonstrated that BatchNorm increases performance, stability, a...	[]	Train
30,773	27	Title: Scalable Real-Time Vehicle Deformation for Interactive Environments Abstract: This paper proposes a real-time physically-based method for simulating vehicle deformation. Our system synthesizes vehicle deformation characteristics by considering a low-dimensional coupled vehicle body technique. We simulate the mot...	[]	Train
30,774	24	Title: Calibration Error Estimation Using Fuzzy Binning Abstract: Neural network-based decisions tend to be overconfident, where their raw outcome probabilities do not align with the true decision probabilities. Calibration of neural networks is an essential step towards more reliable deep learning frameworks. Prior me...	[]	Train
30,775	31	Title: Utilizing ChatGPT to Enhance Clinical Trial Enrollment Abstract: Clinical trials are a critical component of evaluating the effectiveness of new medical interventions and driving advancements in medical research. Therefore, timely enrollment of patients is crucial to prevent delays or premature termination of tr...	[ 40192, 67, 36547, 44419, 2406, 44646, 35580, 7057, 29109, 16471, 729, 3387, 42908, 11453, 11199 ]	Train
30,776	16	Title: Image Matters: A New Dataset and Empirical Study for Multimodal Hyperbole Detection Abstract: Hyperbole, or exaggeration, is a common linguistic phenomenon. The detection of hyperbole is an important part of understanding human expression. There have been several studies on hyperbole detection, but most of which...	[]	Validation
30,777	24	Title: Population Expansion for Training Language Models with Private Federated Learning Abstract: Federated learning (FL) combined with differential privacy (DP) offers machine learning (ML) training with distributed devices and with a formal privacy guarantee. With a large population of devices, FL with DP produces a...	[ 14702 ]	Train

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