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
44,278	25	Title: Attention-based Encoder-Decoder Network for End-to-End Neural Speaker Diarization with Target Speaker Attractor Abstract: This paper proposes a novel Attention-based Encoder-Decoder network for End-to-End Neural speaker Diarization (AED-EEND). In AED-EEND system, we incorporate the target speaker enrollment info...	[ 25770 ]	Train
44,279	30	Title: Pre-training Multi-task Contrastive Learning Models for Scientific Literature Understanding Abstract: Scientific literature understanding tasks have gained significant attention due to their potential to accelerate scientific discovery. Pre-trained language models (LMs) have shown effectiveness in these tasks, e...	[ 41744, 7090, 29844, 30166 ]	Train
44,280	16	Title: Real-time Driver Monitoring Systems on Edge AI Device Abstract: As road accident cases are increasing due to the inattention of the driver, automated driver monitoring systems (DMS) have gained an increase in acceptance. In this report, we present a real-time DMS system that runs on a hardware-accelerator-based ...	[]	Train
44,281	4	Title: PMFault: Faulting and Bricking Server CPUs through Management Interfaces Abstract: Apart from the actual CPU, modern server motherboards contain other auxiliary components, for example voltage regulators for power management. Those are connected to the CPU and the separate Baseboard Management Controller (BMC) v...	[ 34174 ]	Validation
44,282	27	Title: Robot Skill Learning Via Classical Robotics-Based Generated Datasets: Advantages, Disadvantages, and Future Improvement Abstract: Why do we not profit from our long-existing classical robotics knowledge and look for some alternative way for data collection? The situation ignoring all existing methods might be su...	[]	Validation
44,283	36	Title: As Time Goes By: Adding a Temporal Dimension Towards Resolving Delegations in Liquid Democracy Abstract: In recent years, the study of various models and questions related to Liquid Democracy has been of growing interest among the community of Computational Social Choice. A concern that has been raised, is that ...	[ 26318 ]	Train
44,284	16	Title: Prompting classes: Exploring the Power of Prompt Class Learning in Weakly Supervised Semantic Segmentation Abstract: Recently, CLIP-based approaches have exhibited remarkable performance on generalization and few-shot learning tasks, fueled by the power of contrastive language-vision pre-training. In particular,...	[]	Train
44,285	3	Title: Considerations for Ethical Speech Recognition Datasets Abstract: Speech AI Technologies are largely trained on publicly available datasets or by the massive web-crawling of speech. In both cases, data acquisition focuses on minimizing collection effort, without necessarily taking the data subjects' protection or...	[ 22524 ]	Validation
44,286	24	Title: Tricking AI chips into Simulating the Human Brain: A Detailed Performance Analysis Abstract: Challenging the Nvidia monopoly, dedicated AI-accelerator chips have begun emerging for tackling the computational challenge that the inference and, especially, the training of modern deep neural networks (DNNs) poses to...	[]	Validation
44,287	24	Title: Investigating Catastrophic Overfitting in Fast Adversarial Training: A Self-fitting Perspective Abstract: Although fast adversarial training provides an efficient approach for building robust networks, it may suffer from a serious problem known as catastrophic overfitting (CO), where multi-step robust accuracy s...	[]	Validation
44,288	16	Title: NerfAcc: Efficient Sampling Accelerates NeRFs Abstract: Optimizing and rendering Neural Radiance Fields is computationally expensive due to the vast number of samples required by volume rendering. Recent works have included alternative sampling approaches to help accelerate their methods, however, they are often...	[ 15458, 29218, 19781, 11915, 21771, 2382, 27795, 40888, 3672 ]	Train
44,289	31	Title: Hierarchically Fusing Long and Short-Term User Interests for Click-Through Rate Prediction in Product Search Abstract: Estimating Click-Through Rate (CTR) is a vital yet challenging task in personalized product search. However, existing CTR methods still struggle in the product search settings due to the followi...	[ 17018 ]	Test
44,290	24	Title: Robust Framework for Explanation Evaluation in Time Series Classification Abstract: Time series classification is a task which deals with a prevalent data type in domains such as human activity recognition, sports analytics and general healthcare. This paper provides a framework to quantitatively evaluate and ra...	[ 37584 ]	Test
44,291	24	Title: Self-Supervised Node Representation Learning via Node-to-Neighbourhood Alignment Abstract: Self-supervised node representation learning aims to learn node representations from unlabelled graphs that rival the supervised counterparts. The key towards learning informative node representations lies in how to effect...	[]	Train
44,292	33	Title: Active Learning of Deterministic Timed Automata with Myhill-Nerode Style Characterization Abstract: We present an algorithm to learn a deterministic timed automaton (DTA) via membership and equivalence queries. Our algorithm is an extension of the L* algorithm with a Myhill-Nerode style characterization of recog...	[]	Validation
44,293	25	Title: Improving Target Speaker Extraction with Sparse LDA-transformed Speaker Embeddings Abstract: As a practical alternative of speech separation, target speaker extraction (TSE) aims to extract the speech from the desired speaker using additional speaker cue extracted from the speaker. Its main challenge lies in how...	[]	Test
44,294	13	Title: Spiking Neural Network Decision Feedback Equalization for IM/DD Systems Abstract: A spiking neural network (SNN) equalizer with a decision feedback structure is applied to an IM/DD link with various parameters. The SNN outperforms linear and artificial neural network (ANN) based equalizers.	[]	Train
44,295	27	Title: From Prediction to Planning With Goal Conditioned Lane Graph Traversals Abstract: The field of motion prediction for automated driving has seen tremendous progress recently, bearing ever-more mighty neural network architectures. Leveraging these powerful models bears great potential for the closely related plann...	[ 8610, 18283, 29851, 11725 ]	Train
44,296	30	Title: How do languages influence each other? Studying cross-lingual data sharing during LLM fine-tuning Abstract: Multilingual large language models (MLLMs) are jointly trained on data from many different languages such that representation of individual languages can benefit from other languages' data. Impressive perf...	[ 36411 ]	Test
44,297	28	Title: Towards Quantum Annealing for Multi-user NOMA-based Networks Abstract: Quantum Annealing (QA) uses quantum fluctuations to search for a global minimum of an optimization-type problem faster than classical computer. To meet the demand for future internet traffic and mitigate the spectrum scarcity, this work prese...	[]	Validation
44,298	4	Title: Timing the Transient Execution: A New Side-Channel Attack on Intel CPUs Abstract: The transient execution attack is a type of attack leveraging the vulnerability of modern CPU optimization technologies. New attacks surface rapidly. The side-channel is a key part of transient execution attacks to leak data. In th...	[]	Validation
44,299	16	Title: A Systematic Review of Few-Shot Learning in Medical Imaging Abstract: The lack of annotated medical images limits the performance of deep learning models, which usually need large-scale labelled datasets. Few-shot learning techniques can reduce data scarcity issues and enhance medical image analysis, especially ...	[]	Train
44,300	24	Title: Conformal Loss-Controlling Prediction Abstract: —Conformal prediction is a learning framework con- trolling prediction coverage of prediction sets, which can be built on any learning algorithm for point prediction. This work proposes a learning framework named conformal loss-controlling prediction, which extends...	[ 19957 ]	Train
44,301	25	Title: A small vocabulary database of ultrasound image sequences of vocal tract dynamics Abstract: This paper presents a new database consisting of concurrent articulatory and acoustic speech data. The articulatory data correspond to ultrasound videos of the vocal tract dynamics, which allow the visualization of the to...	[]	Validation
44,302	30	Title: Multilingual Text Representation Abstract: Modern NLP breakthrough includes large multilingual models capable of performing tasks across more than 100 languages. State-of-the-art language models came a long way, starting from the simple one-hot representation of words capable of performing tasks like natural lan...	[]	Train
44,303	16	Title: Neural information coding for efficient spike-based image denoising Abstract: In recent years, Deep Convolutional Neural Networks (DCNNs) have outreached the performance of classical algorithms for image restoration tasks. However most of these methods are not suited for computational efficiency and are therefor...	[]	Validation
44,304	24	Title: On the Mathematics of Diffusion Models Abstract: This paper gives direct derivations of the differential equations and likelihood formulas of diffusion models assuming only knowledge of Gaussian distributions. A VAE analysis derives both forward and backward stochastic differential equations (SDEs) as well as no...	[ 43443, 8308 ]	Test
44,305	30	Title: Description-Enhanced Label Embedding Contrastive Learning for Text Classification Abstract: Text classification is one of the fundamental tasks in natural language processing, which requires an agent to determine the most appropriate category for input sentences. Recently, deep neural networks have achieved impr...	[]	Train
44,306	30	Title: MphayaNER: Named Entity Recognition for Tshivenda Abstract: Named Entity Recognition (NER) plays a vital role in various Natural Language Processing tasks such as information retrieval, text classification, and question answering. However, NER can be challenging, especially in low-resource languages with limited...	[]	Train
44,307	24	Title: Policy Gradient Converges to the Globally Optimal Policy for Nearly Linear-Quadratic Regulators Abstract: Nonlinear control systems with partial information to the decision maker are prevalent in a variety of applications. As a step toward studying such nonlinear systems, this work explores reinforcement learnin...	[ 35258 ]	Train
44,308	10	Title: Human Body Digital Twin: A Master Plan Abstract: A human body digital twin (DT) is a virtual representation of an individual's physiological state, created using real-time data from sensors and medical test devices, with the purpose of simulating, predicting, and optimizing health outcomes through advanced analy...	[]	Test
44,309	24	Title: Improving Realistic Worst-Case Performance of NVCiM DNN Accelerators through Training with Right-Censored Gaussian Noise Abstract: Compute-in-Memory (CiM), built upon non-volatile memory (NVM) devices, is promising for accelerating deep neural networks (DNNs) owing to its in-situ data processing capability and s...	[]	Train
44,310	16	Title: HomE: Homography-Equivariant Video Representation Learning Abstract: Recent advances in self-supervised representation learning have enabled more efficient and robust model performance without relying on extensive labeled data. However, most works are still focused on images, with few working on videos and even ...	[]	Train
44,311	28	Title: Performance of Joint Symbol Level Precoding and RIS Phase Shift Design in the Finite Block Length Regime with Constellation Rotation Abstract: In this paper, we tackle the problem of joint symbol level precoding (SLP) and reconfigurable intelligent surface (RIS) phase shift design with constellation rotation in ...	[]	Test
44,312	31	Title: Modular Retrieval for Generalization and Interpretation Abstract: New retrieval tasks have always been emerging, thus urging the development of new retrieval models. However, instantiating a retrieval model for each new retrieval task is resource-intensive and time-consuming, especially for a retrieval model tha...	[ 32249, 12775 ]	Train
44,313	24	Title: Constrained Reinforcement Learning for Dynamic Material Handling Abstract: As one of the core parts of flexible manufacturing systems, material handling involves storage and transportation of materials between workstations with automated vehicles. The improvement in material handling can impulse the overall effi...	[]	Test
44,314	30	Title: Dolphin: A Challenging and Diverse Benchmark for Arabic NLG Abstract: We present Dolphin, a novel benchmark that addresses the need for an evaluation framework for the wide collection of Arabic languages and varieties. The proposed benchmark encompasses a broad range of 13 different NLG tasks, including text sum...	[]	Train
44,315	16	Title: Edit As You Wish: Video Description Editing with Multi-grained Commands Abstract: Automatically narrating a video with natural language can assist people in grasping and managing massive videos on the Internet. From the perspective of video uploaders, they may have varied preferences for writing the desired vide...	[ 10624 ]	Validation
44,316	24	Title: Machine Learning for Infectious Disease Risk Prediction: A Survey Abstract: Infectious diseases, either emerging or long-lasting, place numerous people at risk and bring heavy public health burdens worldwide. In the process against infectious diseases, predicting the epidemic risk by modeling the disease transmi...	[]	Train
44,317	24	Title: Identifying Appropriate Intellectual Property Protection Mechanisms for Machine Learning Models: A Systematization of Watermarking, Fingerprinting, Model Access, and Attacks Abstract: The commercial use of machine learning (ML) is spreading; at the same time, ML models are becoming more complex and more expensiv...	[ 17275 ]	Train
44,318	30	Title: Flexible Grammar-Based Constrained Decoding for Language Models Abstract: LLMs have shown impressive few-shot performance across many tasks. However, they still struggle when it comes to reliably generating complex output structures, such as those required for information extraction. This limitation stems from t...	[ 19936, 22336, 13700, 6537, 25071 ]	Train
44,319	27	Title: A Novel Perception and Semantic Mapping Method for Robot Autonomy in Orchards Abstract: In this work, we propose a novel framework for achieving robotic autonomy in orchards. It consists of two key steps: perception and semantic mapping. In the perception step, we introduce a 3D detection method that accurately ...	[]	Validation
44,320	3	Title: DARSAN: A Decentralized Review System Suitable for NFT Marketplaces Abstract: We introduce DARSAN, a decentralized review system designed for Non-Fungible Token (NFT) marketplaces, to address the challenge of verifying the quality of highly resalable products with few verified buyers by incentivizing unbiased re...	[]	Train
44,321	28	Title: On The Reliability Function of Discrete Memoryless Multiple-Access Channel with Feedback Abstract: We derive a lower and upper bounds on the reliability function of discrete memoryless multiple-access channel (MAC) with noiseless feedback and variable-length codes (VLCs). For the upper-bound, we use proof techni...	[]	Test
44,322	10	Title: VBMO: Voting-Based Multi-Objective Path Planning Abstract: This paper presents VBMO, the Voting-Based Multi-Objective path planning algorithm, that generates optimal single-objective plans, evaluates each of them with respect to the other objectives, and selects one with a voting mechanism. VBMO does not use han...	[]	Train
44,323	30	Title: Improving accuracy of GPT-3/4 results on biomedical data using a retrieval-augmented language model Abstract: Large language models (LLMs) have made significant advancements in natural language processing (NLP). Broad corpora capture diverse patterns but can introduce irrelevance, while focused corpora enhance r...	[ 13700, 26792, 30026, 17328, 36179, 24308, 32213, 38709, 44246, 3609, 634, 29375 ]	Validation
44,324	28	Title: Zero-Energy Reconfigurable Intelligent Surfaces (zeRIS) Abstract: A primary objective of the forthcoming sixth generation (6G) of wireless networking is to support demanding applications, while ensuring energy efficiency. Programmable wireless environments (PWEs) have emerged as a promising solution, leveraging ...	[ 14738 ]	Train
44,325	30	Title: Event Extraction as Question Generation and Answering Abstract: Recent work on Event Extraction has reframed the task as Question Answering (QA), with promising results. The advantage of this approach is that it addresses the error propagation issue found in traditional token-based classification approaches by d...	[]	Train
44,326	16	Title: SRFormer: Empowering Regression-Based Text Detection Transformer with Segmentation Abstract: Existing techniques for text detection can be broadly classified into two primary groups: segmentation-based methods and regression-based methods. Segmentation models offer enhanced robustness to font variations but requ...	[]	Test
44,327	16	Title: Data-free Black-box Attack based on Diffusion Model Abstract: Since the training data for the target model in a data-free black-box attack is not available, most recent schemes utilize GANs to generate data for training substitute model. However, these GANs-based schemes suffer from low training efficiency as th...	[ 10843 ]	Train
44,328	2	Title: Specifying programs with propositions and with congruences Abstract: We give a presentation of Krivine and Parigot's Second-order functional arithmetic in Deduction modulo. Expressing this theory in Deduction modulo sheds light on an original aspect of this theory: the fact that programs are specified, not with ...	[ 45187 ]	Train
44,329	24	Title: Spatiotemporal Transformer for Stock Movement Prediction Abstract: Financial markets are an intriguing place that offer investors the potential to gain large profits if timed correctly. Unfortunately, the dynamic, non-linear nature of financial markets makes it extremely hard to predict future price movements. W...	[]	Train
44,330	16	Title: MOFO: MOtion FOcused Self-Supervision for Video Understanding Abstract: Self-supervised learning (SSL) techniques have recently produced outstanding results in learning visual representations from unlabeled videos. Despite the importance of motion in supervised learning techniques for action recognition, SSL met...	[]	Validation
44,331	24	Title: Cross-heterogeneity Graph Few-shot Learning Abstract: In recent years, heterogeneous graph few-shot learning has been proposed to address the label sparsity issue in heterogeneous graphs (HGs), which contain various types of nodes and edges. The existing methods have achieved good performance by transferring gen...	[]	Train
44,332	16	Title: Enhancing Low-light Light Field Images with A Deep Compensation Unfolding Network Abstract: This paper presents a novel and interpretable end-to-end learning framework, called the deep compensation unfolding network (DCUNet), for restoring light field (LF) images captured under low-light conditions. DCUNet is de...	[]	Train
44,333	6	Title: ReaderQuizzer: Augmenting Research Papers with Just-In-Time Learning Questions to Facilitate Deeper Understanding Abstract: Academic reading is a key component of higher education, and serves as a basis for critical thinking, knowledge acquisition and effective communication. Research shows many students struggl...	[]	Train
44,334	10	Title: Argumentative Characterizations of (Extended) Disjunctive Logic Programs Abstract: This paper continues an established line of research about the relations between argumentation theory, particularly assumption-based argumentation, and different kinds of logic programs. In particular, we extend known result of Ca...	[]	Validation
44,335	28	Title: The Multi-cluster Two-Wave Fading Model Abstract: We introduce and characterize a natural generalization of the Two-Wave with Diffuse Power (TWDP) fading model, by allowing that the incident waves arrive in different clusters. The newly proposed model, referred to as the Multi-cluster Two-Wave (MTW) fading model...	[]	Train
44,336	30	Title: Doc2SoarGraph: Discrete Reasoning over Visually-Rich Table-Text Documents with Semantic-Oriented Hierarchical Graphs Abstract: Discrete reasoning over table-text documents (e.g., financial reports) gains increasing attention in recent two years. Existing works mostly simplify this challenge by manually selecting...	[]	Train
44,337	24	Title: Convergence and Generalization of Wide Neural Networks with Large Bias Abstract: This work studies training one-hidden-layer overparameterized ReLU networks via gradient descent in the neural tangent kernel (NTK) regime, where the networks' biases are initialized to some constant rather than zero. The tantalizin...	[ 7506 ]	Test
44,338	23	Title: Investigating ChatGPT's Potential to Assist in Requirements Elicitation Processes Abstract: Natural Language Processing (NLP) for Requirements Engineering (RE) (NLP4RE) seeks to apply NLP tools, techniques, and resources to the RE process to increase the quality of the requirements. There is little research invo...	[ 35580, 42765, 43566, 31215 ]	Train
44,339	4	Title: A Survey on Federated Learning Poisoning Attacks and Defenses Abstract: As one kind of distributed machine learning technique, federated learning enables multiple clients to build a model across decentralized data collaboratively without explicitly aggregating the data. Due to its ability to break data silos, fe...	[ 37658 ]	Validation
44,340	24	Title: Exact Generalization Guarantees for (Regularized) Wasserstein Distributionally Robust Models Abstract: Wasserstein distributionally robust estimators have emerged as powerful models for prediction and decision-making under uncertainty. These estimators provide attractive generalization guarantees: the robust obj...	[]	Train
44,341	27	Title: Learning Multimodal Bipedal Locomotion and Implicit Transitions: A Versatile Policy Approach Abstract: In this paper, we propose a novel framework for synthesizing a single multimodal control policy capable of generating diverse behaviors (or modes) and emergent inherent transition maneuvers for bipedal locomoti...	[]	Validation
44,342	10	Title: Fin-Fact: A Benchmark Dataset for Multimodal Financial Fact Checking and Explanation Generation Abstract: Fact-checking in financial domain is under explored, and there is a shortage of quality dataset in this domain. In this paper, we propose Fin-Fact, a benchmark dataset for multimodal fact-checking within the...	[]	Validation
44,343	30	Title: Coherent Wave Dynamics and Language Generation of a Generative Pre-trained Transformer Abstract: Large Language Models (LLMs), such as the Generative Pretrained Transformer (GPT), have achieved tremendous success in various language tasks, but their emergent abilities have also raised many questions, concerns, a...	[ 38338 ]	Test
44,344	30	Title: CALaMo: a Constructionist Assessment of Language Models Abstract: This paper presents a novel framework for evaluating Neural Language Models’ linguistic abilities using a constructionist approach. Not only is the usage-based model in line with the un- derlying stochastic philosophy of neural architectures, but ...	[]	Train
44,345	16	Title: Learning Personalized High Quality Volumetric Head Avatars from Monocular RGB Videos Abstract: We propose a method to learn a high-quality implicit 3D head avatar from a monocular RGB video captured in the wild. The learnt avatar is driven by a parametric face model to achieve user-controlled facial expressions ...	[ 25838 ]	Train
44,346	34	Title: Quasipolynomiality of the Smallest Missing Induced Subgraph Abstract: We study the problem of finding the smallest graph that does not occur as an induced subgraph of a given graph. This missing induced subgraph has at most logarithmic size and can be found by a brute-force search, in an $n$-vertex graph, in tim...	[]	Train
44,347	8	Title: Learnable Digital Twin for Efficient Wireless Network Evaluation Abstract: Network digital twins (NDTs) facilitate the estimation of key performance indicators (KPIs) before physically implementing a network, thereby enabling efficient optimization of the network configuration. In this paper, we propose a learni...	[]	Test
44,348	4	Title: Information Flow Coverage Metrics for Hardware Security Verification Abstract: Security graphs model attacks, defenses, mitigations, and vulnerabilities on computer networks and systems. With proper attributes, they provide security metrics using standard graph algorithms. A hyperflow graph is a register-transfe...	[ 8998 ]	Train
44,349	24	Title: Federated Learning via Variational Bayesian Inference: Personalization, Sparsity and Clustering Abstract: Federated learning (FL) is a promising framework that models distributed machine learning while protecting the privacy of clients. However, FL suffers performance degradation from heterogeneous and limited d...	[ 28541 ]	Train
44,350	30	Title: Causal Document-Grounded Dialogue Pre-training Abstract: The goal of document-grounded dialogue (DocGD) is to generate a response by grounding the evidence in a supporting document in accordance with the dialogue context. This process involves four variables that are causally connected. Recently, task-specific p...	[ 146, 25751 ]	Train
44,351	24	Title: Incentivizing Honesty among Competitors in Collaborative Learning and Optimization Abstract: Collaborative learning techniques have the potential to enable training machine learning models that are superior to models trained on a single entity's data. However, in many cases, potential participants in such collab...	[]	Validation
44,352	28	Title: Channel Measurement for Holographic MIMO: Benefits and Challenges of Spatial Oversampling Abstract: In this paper, the channel of an indoor holographic multiple-input multiple-output (MIMO) system is measured. It is demonstrated through experiments for the first time that the spatial oversampling of holographic ...	[ 22128 ]	Train
44,353	10	Title: Lifted Sequential Planning with Lazy Constraint Generation Solvers Abstract: This paper studies the possibilities made open by the use of Lazy Clause Generation (LCG) based approaches to Constraint Programming (CP) for tackling sequential classical planning. We propose a novel CP model based on seminal ideas on ...	[]	Test
44,354	24	Title: Fourier-MIONet: Fourier-enhanced multiple-input neural operators for multiphase modeling of geological carbon sequestration Abstract: Geologic Carbon Storage (GCS) is an important technology that aims to reduce the amount of carbon dioxide in the atmosphere. Multiphase flow in porous media is essential to unders...	[ 32153, 5085, 30495 ]	Validation
44,355	5	Title: Run-time application migration using checkpoint/restore in userspace Abstract: This paper presents an empirical study on the feasibility of using Checkpoint/Restore In Userspace (CRIU) for run-time application migration between hosts, with a particular focus on edge computing and cloud infrastructures. The paper...	[]	Train
44,356	24	Title: Repairing Deep Neural Networks Based on Behavior Imitation Abstract: The increasing use of deep neural networks (DNNs) in safety-critical systems has raised concerns about their potential for exhibiting ill-behaviors. While DNN verification and testing provide post hoc conclusions regarding unexpected behaviors,...	[]	Train
44,357	24	Title: Team Intro to AI team8 at CoachAI Badminton Challenge 2023: Advanced ShuttleNet for Shot Predictions Abstract: In this paper, our objective is to improve the performance of the existing framework ShuttleNet in predicting badminton shot types and locations by leveraging past strokes. We participated in the CoachA...	[ 32591 ]	Train
44,358	24	Title: Deep Neural Networks with Efficient Guaranteed Invariances Abstract: We address the problem of improving the performance and in particular the sample complexity of deep neural networks by enforcing and guaranteeing invariances to symmetry transformations rather than learning them from data. Group-equivariant con...	[ 12178 ]	Train
44,359	16	Title: CapsFlow: Optical Flow Estimation with Capsule Networks Abstract: We present a framework to use recently introduced Capsule Networks for solving the problem of Optical Flow, one of the fundamental computer vision tasks. Most of the existing state of the art deep architectures either uses a correlation oepration ...	[]	Train
44,360	26	Title: Modeling and Mitigating Online Misinformation: a Suggested Blockchain Approach Abstract: Misinformation propagation in online social networks has become an increasingly challenging problem. Although many studies exist to solve the problem computationally, a permanent and robust solution is yet to be discovered. ...	[]	Test
44,361	30	Title: Are ChatGPT and GPT-4 General-Purpose Solvers for Financial Text Analytics? An Examination on Several Typical Tasks Abstract: The most recent large language models such as ChatGPT and GPT-4 have garnered significant attention, as they are capable of generating high-quality responses to human input. Despite the e...	[ 12128, 35234, 27140, 27111, 4071, 28807, 30025, 45138, 24308, 35580, 5149 ]	Train
44,362	3	Title: Current Status and Trends of Engineering Entrepreneurship Education in Australian Universities Abstract: This research sheds light on the present and future landscape of Engineering Entrepreneurship Education (EEE) by exploring varied approaches and models adopted in Australian universities, evaluating program e...	[]	Train
44,363	38	Title: Quantifying the dynamics of peak innovation in scientific careers Abstract: We examine the innovation of researchers with long-lived careers in Computer Science and Physics. Despite the epistemological differences between such disciplines, we consistently ﬁnd that a researcher’s most innovative publication occur...	[]	Validation
44,364	5	Title: Adapting Datacenter Capacity for Greener Datacenters and Grid Abstract: Cloud providers are adapting datacenter (DC) capacity to reduce carbon emissions. With hyperscale datacenters exceeding 100 MW individually, and in some grids exceeding 15% of power load, DC adaptation is large enough to harm power grid dyna...	[]	Train
44,365	27	Title: Perch a quadrotor on planes by the ceiling effect Abstract: Perching is a promising solution for a small unmanned aerial vehicle (UAV) to save energy and extend operation time. This paper proposes a quadrotor that can perch on planar structures using the ceiling effect. Compared with the existing work, this perc...	[]	Train
44,366	25	Title: ArchiSound: Audio Generation with Diffusion Abstract: The recent surge in popularity of diffusion models for image generation has brought new attention to the potential of these models in other areas of media generation. One area that has yet to be fully explored is the application of diffusion models to audio g...	[ 6114, 1767, 2441, 40667, 926 ]	Train
44,367	16	Title: Mask Detection and Classification in Thermal Face Images Abstract: Face masks are recommended to reduce the transmission of many viruses, especially SARS-CoV-2. Therefore, the automatic detection of whether there is a mask on the face, what type of mask is worn, and how it is worn is an important research topic....	[]	Test
44,368	4	Title: File Fragment Classification using Light-Weight Convolutional Neural Networks Abstract: In digital forensics, file fragment classification is an important step toward completing file carving process. There exist several techniques to identify the type of file fragments without relying on meta-data, such as using...	[]	Train
44,369	23	Title: Cross-coverage testing of functionally equivalent programs Abstract: Cross-coverage of a program P refers to the test coverage measured over a different program Q that is functionally equivalent to P. The novel concept of cross-coverage can find useful applications in the test of redundant software. We apply her...	[]	Train
44,370	30	Title: Predicting COVID-19 and pneumonia complications from admission texts Abstract: In this paper we present a novel approach to risk assessment for patients hospitalized with pneumonia or COVID-19 based on their admission reports. We applied a Longformer neural network to admission reports and other textual data ava...	[]	Train
44,371	16	Title: Exploiting Partial Common Information Microstructure for Multi-Modal Brain Tumor Segmentation Abstract: Learning with multiple modalities is crucial for automated brain tumor segmentation from magnetic resonance imaging data. Explicitly optimizing the common information shared among all modalities (e.g., by maxi...	[ 8257, 13714, 2909 ]	Validation
44,372	24	Title: Hawkes Process Based on Controlled Differential Equations Abstract: Hawkes processes are a popular framework to model the occurrence of sequential events, i.e., occurrence dynamics, in several fields such as social diffusion. In real-world scenarios, the inter-arrival time among events is irregular. However, exi...	[]	Train
44,373	23	Title: Toward End-to-End MLOps Tools Map: A Preliminary Study based on a Multivocal Literature Review Abstract: MLOps tools enable continuous development of machine learning, following the DevOps process. Different MLOps tools have been presented on the market, however, such a number of tools often create confusion on ...	[]	Train
44,374	16	Title: TFormer: A Transmission-Friendly ViT Model for IoT Devices Abstract: Deploying high-performance vision transformer (ViT) models on ubiquitous Internet of Things (IoT) devices to provide high-quality vision services will revolutionize the way we live, work, and interact with the world. Due to the contradiction be...	[ 30324, 21516 ]	Train
44,375	16	Title: Paced-curriculum distillation with prediction and label uncertainty for image segmentation Abstract: nan	[]	Test
44,376	24	Title: CrystalBox: Future-Based Explanations for DRL Network Controllers Abstract: Lack of explainability is a key factor limiting the practical adoption of high-performant Deep Reinforcement Learning (DRL) controllers. Explainable RL for networking hitherto used salient input features to interpret a controller's behav...	[ 27544 ]	Train
44,377	16	Title: Q: How to Specialize Large Vision-Language Models to Data-Scarce VQA Tasks? A: Self-Train on Unlabeled Images! Abstract: Finetuning a large vision language model (VLM) on a target dataset after large scale pretraining is a dominant paradigm in visual question answering (VQA). Datasets for specialized tasks such ...	[ 10624 ]	Train

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