node_id int64 0 76.9k | label int64 0 39 | text stringlengths 13 124k | neighbors listlengths 0 3.32k | mask stringclasses 4
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|---|---|---|---|---|
23,678 | 27 | Title: Chat Failures and Troubles: Reasons and Solutions
Abstract: This paper examines some common problems in Human-Robot Interaction (HRI) causing failures and troubles in Chat. A given use case's design decisions start with the suitable robot, the suitable chatting model, identifying common problems that cause failu... | [] | Train |
23,679 | 3 | Title: SusTrainable: Promoting Sustainability as a Fundamental Driver in Software Development Training and Education. 2nd Teacher Training, January 23-27, 2023, Pula, Croatia. Revised lecture notes
Abstract: This volume exhibits the revised lecture notes of the 2nd teacher training organized as part of the project Prom... | [
39739
] | Train |
23,680 | 34 | Title: Compressibility measures for two-dimensional data
Abstract: In this paper we extend to two-dimensional data two recently introduced one-dimensional compressibility measures: the $\gamma$ measure defined in terms of the smallest string attractor, and the $\delta$ measure defined in terms of the number of distinct... | [] | Train |
23,681 | 30 | Title: Fantastic Rewards and How to Tame Them: A Case Study on Reward Learning for Task-oriented Dialogue Systems
Abstract: When learning task-oriented dialogue (ToD) agents, reinforcement learning (RL) techniques can naturally be utilized to train dialogue strategies to achieve user-specific goals. Prior works mainly ... | [
22936,
18308,
19454,
43615
] | Train |
23,682 | 5 | Title: FedPass: Privacy-Preserving Vertical Federated Deep Learning with Adaptive Obfuscation
Abstract: Vertical federated learning (VFL) allows an active party with labeled data to leverage auxiliary features from the passive parties to improve model performance. Concerns about the private feature and label leakage in... | [
36562
] | Train |
23,683 | 15 | Title: The Data Movement Bottleneck: Theoretical Shortcomings of Analog Optical Fourier Transform and Convolution Computing Accelerators
Abstract: Modern computing tasks are constrained to having digital electronic input and output data. Due to these constraints imposed by the user, any analog computing accelerator mus... | [] | Train |
23,684 | 24 | Title: Classifying the evolution of COVID-19 severity on patients with combined dynamic Bayesian networks and neural networks
Abstract: When we face patients arriving to a hospital suffering from the effects of some illness, one of the main problems we can encounter is evaluating whether or not said patients are going ... | [] | Test |
23,685 | 8 | Title: Grassroots Distributed Systems for Digital Sovereignty: Concept, Examples, Implementation and Applications
Abstract: Informally, a distributed system is grassroots if it can have autonomous, independently-deployed instances -- geographically and over time -- that can interoperate once interconnected. An example ... | [
27445
] | Test |
23,686 | 27 | Title: Development of a ROS-Based Architecture for Intelligent Autonomous on Demand Last Mile Delivery
Abstract: nan | [] | Validation |
23,687 | 17 | Title: Neural Free‐Viewpoint Relighting for Glossy Indirect Illumination
Abstract: Precomputed Radiance Transfer (PRT) remains an attractive solution for real‐time rendering of complex light transport effects such as glossy global illumination. After precomputation, we can relight the scene with new environment maps wh... | [
37352
] | Train |
23,688 | 10 | Title: Cross Modal Data Discovery over Structured and Unstructured Data Lakes
Abstract:
Organizations are collecting increasingly large amounts of data for data-driven decision making. These data are often dumped into a centralized repository, e.g., a data lake, consisting of thousands of structured and unstructured ... | [] | Test |
23,689 | 34 | Title: A contraction-recursive algorithm for treewidth
Abstract: Let tw(G) denote the treewidth of graph G. Given a graph G and a positive integer k such that tw(G)<= k + 1, we are to decide if tw(G)<= k. We give a certifying algorithm RTW ("R"for recursive) for this task: it returns one or more tree-decompositions of ... | [] | Test |
23,690 | 10 | Title: Large AI Model Empowered Multimodal Semantic Communications
Abstract: Multimodal signals, including text, audio, image and video, can be integrated into Semantic Communication (SC) for providing an immersive experience with low latency and high quality at the semantic level. However, the multimodal SC has severa... | [] | Train |
23,691 | 26 | Title: A Meta Path-based Approach for Rumor Detection on Social Media
Abstract: The prominent role of social media in people's daily lives has made them more inclined to receive news through social networks than traditional sources. This shift in public behavior has opened doors for some to diffuse fake news on social ... | [] | Train |
23,692 | 24 | Title: From Robustness to Privacy and Back
Abstract: We study the relationship between two desiderata of algorithms in statistical inference and machine learning: differential privacy and robustness to adversarial data corruptions. Their conceptual similarity was first observed by Dwork and Lei (STOC 2009), who observe... | [
10947,
26070
] | Test |
23,693 | 24 | Title: A Multimodal Sensing Ring for Quantification of Scratch Intensity
Abstract: An objective measurement of the debilitating symptom, chronic itch, is necessary for improvements in patient care for numerous medical conditions. While wearable devices have shown promise for scratch detection, they are currently unable... | [] | Validation |
23,694 | 24 | Title: Cross-Entropy Estimators for Sequential Experiment Design with Reinforcement Learning
Abstract: Reinforcement learning can effectively learn amortised design policies for designing sequences of experiments. However, current methods rely on contrastive estimators of expected information gain, which require an exp... | [
1584
] | Validation |
23,695 | 31 | Title: Identification of the Relevance of Comments in Codes Using Bag of Words and Transformer Based Models
Abstract: The Forum for Information Retrieval (FIRE) started a shared task this year for classification of comments of different code segments. This is binary text classification task where the objective is to id... | [] | Train |
23,696 | 38 | Title: Influence of Publication Capacity on Journal Impact Factor for International Open Access Journals from China: Insights from Microeconomic Analysis
Abstract: The evolving landscape of open access (OA) journal publishing holds significant importance for policymakers and stakeholders who seek to make informed decis... | [] | Train |
23,697 | 16 | Title: A comprehensive review on Plant Leaf Disease detection using Deep learning
Abstract: Leaf disease is a common fatal disease for plants. Early diagnosis and detection is necessary in order to improve the prognosis of leaf diseases affecting plant. For predicting leaf disease, several automated systems have alread... | [] | Test |
23,698 | 16 | Title: ViM: Vision Middleware for Unified Downstream Transferring
Abstract: Foundation models are pre-trained on massive data and transferred to downstream tasks via fine-tuning. This work presents Vision Middleware (ViM), a new learning paradigm that targets unified transferring from a single foundation model to a var... | [] | Train |
23,699 | 16 | Title: PaRot: Patch-Wise Rotation-Invariant Network via Feature Disentanglement and Pose Restoration
Abstract: Recent interest in point cloud analysis has led rapid progress in designing deep learning methods for 3D models. However, state-of-the-art models are not robust to rotations, which remains an unknown prior to ... | [] | Validation |
23,700 | 16 | Title: MIPI 2023 Challenge on RGB+ToF Depth Completion: Methods and Results
Abstract: Depth completion from RGB images and sparse Time-of-Flight (ToF) measurements is an important problem in computer vision and robotics. While traditional methods for depth completion have relied on stereo vision or structured light tec... | [] | Test |
23,701 | 5 | Title: List Defective Colorings: Distributed Algorithms and Applications
Abstract: The distributed coloring problem is at the core of the area of distributed graph algorithms and it is a problem that has seen tremendous progress over the last few years. Much of the remarkable recent progress on deterministic distribute... | [] | Train |
23,702 | 31 | Title: Cost-optimal Seeding Strategy During a Botanical Pandemic in Domesticated Fields
Abstract: Context: Botanical pandemics cause enormous economic damage and food shortage around the globe. However, since botanical pandemics are here to stay in the short-medium term, domesticated field owners can strategically seed... | [] | Test |
23,703 | 24 | Title: Counterfactually Fair Regression with Double Machine Learning
Abstract: Counterfactual fairness is an approach to AI fairness that tries to make decisions based on the outcomes that an individual with some kind of sensitive status would have had without this status. This paper proposes Double Machine Learning (D... | [] | Validation |
23,704 | 4 | Title: Security Evaluation of Thermal Covert-channels on SmartSSDs
Abstract: Continued expansion of cloud computing offerings now includes SmartSSDs. A SmartSSD is a solid-state disk (SSD) augmented with an FPGA. Through public cloud providers, it is now possible to rent on-demand virtual machines enabled with SmartSSD... | [] | Test |
23,705 | 24 | Title: Real-Time Outlier Detection with Dynamic Process Limits
Abstract: Anomaly detection methods are part of the systems where rare events may endanger an operation’s profitability, safety, and environmental aspects. Although many state-of the-art anomaly detection methods were developed to date, their deployment is ... | [
33771
] | Train |
23,706 | 16 | Title: Learning Reliable Representations for Incomplete Multi-View Partial Multi-Label Classification
Abstract: As a cross-topic of multi-view learning and multi-label classification, multi-view multi-label classification has gradually gained traction in recent years. The application of multi-view contrastive learning ... | [
17492
] | Test |
23,707 | 10 | Title: Summarizing Strategy Card Game AI Competition
Abstract: This paper concludes five years of AI competitions based on Legends of Code and Magic (LOCM), a small Collectible Card Game (CCG), designed with the goal of supporting research and algorithm development. The game was used in a number of events, including Co... | [
15807,
21292,
13431
] | Train |
23,708 | 16 | Title: Transforming Visual Scene Graphs to Image Captions
Abstract: We propose to TransForm Scene Graphs into more descriptive Captions (TFSGC). In TFSGC, we apply multi-head attention (MHA) to design the Graph Neural Network (GNN) for embedding scene graphs. After embedding, different graph embeddings contain diverse ... | [
5361
] | Validation |
23,709 | 27 | Title: ProNav: Proprioceptive Traversability Estimation for Legged Robot Navigation in Outdoor Environments
Abstract: We propose a novel method, ProNav, which uses proprioceptive signals for traversability estimation in challenging outdoor terrains for autonomous legged robot navigation. Our approach uses sensor data f... | [
35708,
39355,
3948
] | Train |
23,710 | 30 | Title: Mixture-of-Supernets: Improving Weight-Sharing Supernet Training with Architecture-Routed Mixture-of-Experts
Abstract: Weight-sharing supernet has become a vital component for performance estimation in the state-of-the-art (SOTA) neural architecture search (NAS) frameworks. Although supernet can directly generat... | [] | Test |
23,711 | 24 | Title: Enabling Inter-organizational Analytics in Business Networks Through Meta Machine Learning
Abstract: Successful analytics solutions that provide valuable insights often hinge on the connection of various data sources. While it is often feasible to generate larger data pools within organizations, the application ... | [] | Train |
23,712 | 16 | Title: Joint one‐sided synthetic unpaired image translation and segmentation for colorectal cancer prevention
Abstract: Deep learning has shown excellent performance in analysing medical images. However, datasets are difficult to obtain due privacy issues, standardization problems, and lack of annotations. We address t... | [
44804
] | Test |
23,713 | 16 | Title: The RoboDepth Challenge: Methods and Advancements Towards Robust Depth Estimation
Abstract: Accurate depth estimation under out-of-distribution (OoD) scenarios, such as adverse weather conditions, sensor failure, and noise contamination, is desirable for safety-critical applications. Existing depth estimation sy... | [
4643,
9606,
23815,
43114,
16078,
22767,
33936,
16339,
40405,
4443,
4220,
22815
] | Train |
23,714 | 28 | Title: Massive MIMO and NOMA bits-per-antenna efficiency under power allocation policies
Abstract: nan | [] | Train |
23,715 | 24 | Title: Do Not Train It: A Linear Neural Architecture Search of Graph Neural Networks
Abstract: Neural architecture search (NAS) for Graph neural networks (GNNs), called NAS-GNNs, has achieved significant performance over manually designed GNN architectures. However, these methods inherit issues from the conventional NA... | [
5006
] | Train |
23,716 | 34 | Title: Fast algorithms for Vizing's theorem on bounded degree graphs
Abstract: Vizing's theorem states that every graph $G$ of maximum degree $\Delta$ can be properly edge-colored using $\Delta + 1$ colors. The fastest currently known $(\Delta+1)$-edge-coloring algorithm for general graphs is due to Sinnamon and runs i... | [
36273
] | Validation |
23,717 | 16 | Title: DeMT: Deformable Mixer Transformer for Multi-Task Learning of Dense Prediction
Abstract: Convolution neural networks (CNNs) and Transformers have their own advantages and both have been widely used for dense prediction in multi-task learning (MTL). Most of the current studies on MTL solely rely on CNN or Transfo... | [
5028,
40040,
45932,
31760,
23320,
28508
] | Validation |
23,718 | 30 | Title: Making a Computational Attorney
Abstract: This"blue sky idea"paper outlines the opportunities and challenges in data mining and machine learning involving making a computational attorney -- an intelligent software agent capable of helping human lawyers with a wide range of complex high-level legal tasks such as ... | [] | Train |
23,719 | 5 | Title: Edge Computing Performance Amplification
Abstract: Edge computing can be defined as an emerging technology that uses cloud computing to leverage edge data centers to process, store, and analyze data close to the source. Traditional cloud computing architectures are not designed for latency-critical applications ... | [] | Train |
23,720 | 30 | Title: Implications of Deep Circuits in Improving Quality of Quantum Question Answering
Abstract: nan | [] | Train |
23,721 | 16 | Title: Masked Diffusion as Self-supervised Representation Learner
Abstract: Denoising diffusion probabilistic models have recently demonstrated state-of-the-art generative performance and been used as strong pixel-level representation learners. This paper decomposes the interrelation between the generative capability a... | [
4738
] | Train |
23,722 | 5 | Title: ACC Saturator: Automatic Kernel Optimization for Directive-Based GPU Code
Abstract: Automatic code optimization is a complex process that typically involves the application of multiple discrete algorithms that modify the program structure irreversibly. However, the design of these algorithms is often monolithic,... | [
40973,
20053
] | Test |
23,723 | 16 | Title: CS-PCN: Context-Space Progressive Collaborative Network for Image Denoising
Abstract: Currently, image-denoising methods based on deep learning cannot adequately reconcile contextual semantic information and spatial details. To take these information optimizations into consideration, in this paper, we propose a ... | [] | Test |
23,724 | 24 | Title: MLPGradientFlow: going with the flow of multilayer perceptrons (and finding minima fast and accurately)
Abstract: MLPGradientFlow is a software package to solve numerically the gradient flow dif-ferential equation ˙ θ = −∇L ( θ ; D ), where θ are the parameters of a multi-layer perceptron, D is some data set, and... | [
24421
] | Validation |
23,725 | 1 | Title: From Ember to Blaze: Swift Interactive Video Adaptation via Meta-Reinforcement Learning
Abstract: Maximizing quality of experience (QoE) for interactive video streaming has been a long-standing challenge, as its delay-sensitive nature makes it more vulnerable to bandwidth fluctuations. While reinforcement learni... | [] | Train |
23,726 | 24 | Title: Continuous Time Evidential Distributions for Irregular Time Series
Abstract: Prevalent in many real-world settings such as healthcare, irregular time series are challenging to formulate predictions from. It is difficult to infer the value of a feature at any given time when observations are sporadic, as it could... | [
15443
] | Train |
23,727 | 16 | Title: Calibrated Out-of-Distribution Detection with a Generic Representation
Abstract: Out-of-distribution detection is a common issue in deploying vision models in practice and solving it is an essential building block in safety critical applications. Most of the existing OOD detection solutions focus on improving th... | [
31248,
45363
] | Train |
23,728 | 16 | Title: Shuffled Autoregression For Motion Interpolation
Abstract: This work aims to provide a deep-learning solution for the motion interpolation task. Previous studies solve it with geometric weight functions. Some other works propose neural networks for different problem settings with consecutive pose sequences as in... | [] | Train |
23,729 | 27 | Title: Efficient and Feasible Robotic Assembly Sequence Planning via Graph Representation Learning
Abstract: Automatic Robotic Assembly Sequence Planning (RASP) can significantly improve productivity and resilience in modern manufacturing along with the growing need for greater product customization. One of the main ch... | [
25787
] | Train |
23,730 | 16 | Title: MultiNet with Transformers: A Model for Cancer Diagnosis Using Images
Abstract: Cancer is a leading cause of death in many countries. An early diagnosis of cancer based on biomedical imaging ensures effective treatment and a better prognosis. However, biomedical imaging presents challenges to both clinical insti... | [
33082
] | Train |
23,731 | 24 | Title: Sparse Modular Activation for Efficient Sequence Modeling
Abstract: Linear State Space Models (SSMs) have demonstrated strong performance in a variety of sequence modeling tasks due to their efficient encoding of the recurrent structure. However, in more comprehensive tasks like language modeling and machine tra... | [
38272
] | Train |
23,732 | 23 | Title: Design, Implementation, and Automation of a Risk Management Approach for Man-at-the-End Software Protection
Abstract: The last years have seen an increase in Man-at-the-End (MATE) attacks against software applications, both in number and severity. However, software protection, which aims at mitigating MATE attac... | [] | Train |
23,733 | 24 | Title: OrthoReg: Improving Graph-regularized MLPs via Orthogonality Regularization
Abstract: Graph Neural Networks (GNNs) are currently dominating in modeling graph-structure data, while their high reliance on graph structure for inference significantly impedes them from widespread applications. By contrast, Graph-regu... | [] | Train |
23,734 | 6 | Title: Application of Machine Learning in Identification of Best Teaching Method for Children with Autism Spectrum Disorder
Abstract: A good teaching method is incomprehensible for an autistic child. The autism spectrum disorder is a very diverse phenomenon. It is said that no two autistic children are the same. So, so... | [] | Validation |
23,735 | 16 | Title: CIRCLE: Capture In Rich Contextual Environments
Abstract: Synthesizing 3D human motion in a contextual, ecological environment is important for simulating realistic activities people perform in the real world. However, conventional optics-based motion capture systems are not suited for simultaneously capturing h... | [
5784
] | Train |
23,736 | 10 | Title: Learning to Select SAT Encodings for Pseudo-Boolean and Linear Integer Constraints
Abstract: Many constraint satisfaction and optimisation problems can be solved effectively by encoding them as instances of the Boolean Satisfiability problem (SAT). However, even the simplest types of constraints have many encodi... | [] | Train |
23,737 | 30 | Title: SIDLR: Slot and Intent Detection Models for Low-Resource Language Varieties
Abstract: Intent detection and slot filling are two critical tasks in spoken and natural language understandingfor task-oriented dialog systems. In this work, we describe our participation in slot and intent detection for low-resource la... | [] | Train |
23,738 | 16 | Title: Attribute-Guided Encryption with Facial Texture Masking
Abstract: The increasingly pervasive facial recognition (FR) systems raise serious concerns about personal privacy, especially for billions of users who have publicly shared their photos on social media. Several attempts have been made to protect individual... | [] | Train |
23,739 | 23 | Title: Systematic Literature Review on Application of Machine Learning in Continuous Integration
Abstract: This research conducted a systematic review of the literature on machine learning (ML)-based methods in the context of Continuous Integration (CI) over the past 22 years. The study aimed to identify and describe t... | [] | Test |
23,740 | 8 | Title: Entanglement Routing over Quantum Networks Using Greenberger-Horne-Zeilinger Measurements
Abstract: Generating a long-distance quantum entanglement is one of the most essential functions of a quantum network to support quantum communication and computing applications. The successful entanglement rate during a pr... | [] | Validation |
23,741 | 2 | Title: Finding the Right Way to Rome: Effect-oriented Graph Transformation
Abstract: Many applications of graph transformation require rules that change a graph without introducing new consistency violations. When designing such rules, it is natural to think about the desired outcome state, i.e., the desired effect, ra... | [] | Train |
23,742 | 24 | Title: Generalization Performance of Transfer Learning: Overparameterized and Underparameterized Regimes
Abstract: Transfer learning is a useful technique for achieving improved performance and reducing training costs by leveraging the knowledge gained from source tasks and applying it to target tasks. Assessing the ef... | [
40641
] | Train |
23,743 | 7 | Title: Parameter Identification by Deep Learning of a Material Model for Granular Media
Abstract: Classical physical modelling with associated numerical simulation (model-based), and prognostic methods based on the analysis of large amounts of data (data-driven) are the two most common methods used for the mapping of c... | [] | Train |
23,744 | 16 | Title: GPT4MIA: Utilizing Generative Pre-trained Transformer (GPT-3) as A Plug-and-Play Transductive Model for Medical Image Analysis
Abstract: In this paper, we propose a novel approach (called GPT4MIA) that utilizes Generative Pre-trained Transformer (GPT) as a plug-and-play transductive inference tool for medical im... | [] | Validation |
23,745 | 30 | Title: Pushing Mixture of Experts to the Limit: Extremely Parameter Efficient MoE for Instruction Tuning
Abstract: The Mixture of Experts (MoE) is a widely known neural architecture where an ensemble of specialized sub-models optimizes overall performance with a constant computational cost. However, conventional MoEs p... | [
13700,
20996,
25892,
36786,
37919
] | Test |
23,746 | 24 | Title: CAMMARL: Conformal Action Modeling in Multi Agent Reinforcement Learning
Abstract: Before taking actions in an environment with more than one intelligent agent, an autonomous agent may benefit from reasoning about the other agents and utilizing a notion of a guarantee or confidence about the behavior of the syst... | [] | Train |
23,747 | 28 | Title: Precoding-oriented Massive MIMO CSI Feedback Design
Abstract: Downlink massive multiple-input multiple-output (MIMO) precoding algorithms in frequency division duplexing (FDD) systems rely on accurate channel state information (CSI) feedback from users. In this paper, we analyze the tradeoff between the CSI feed... | [] | Test |
23,748 | 30 | Title: TEPrompt: Task Enlightenment Prompt Learning for Implicit Discourse Relation Recognition
Abstract: Implicit Discourse Relation Recognition (IDRR) aims at classifying the relation sense between two arguments without an explicit connective. Recently, the ConnPrompt~\cite{Wei.X:et.al:2022:COLING} has leveraged the ... | [] | Train |
23,749 | 10 | Title: General Boolean Formula Minimization with QBF Solvers
Abstract: The minimization of propositional formulae is a classical problem in logic, whose first algorithms date back at least to the 1950s with the works of Quine and Karnaugh. Most previous work in the area has focused on obtaining minimal, or quasi-minima... | [] | Train |
23,750 | 28 | Title: Resource Allocation in Cell-Free MU-MIMO Multicarrier System with Finite and Infinite Blocklength
Abstract: The explosive growth of data results in more scarce spectrum resources. It is important to optimize the system performance under limited resources. In this paper, we investigate how to achieve weighted thr... | [
24837
] | Train |
23,751 | 10 | Title: Backdoor Defense via Deconfounded Representation Learning
Abstract: Deep neural networks (DNNs) are recently shown to be vulnerable to backdoor attacks, where attackers embed hidden backdoors in the DNN model by injecting a few poisoned examples into the training dataset. While extensive efforts have been made t... | [] | Train |
23,752 | 24 | Title: Exploring the Effect of Multi-step Ascent in Sharpness-Aware Minimization
Abstract: Recently, Sharpness-Aware Minimization (SAM) has shown state-of-the-art performance by seeking flat minima. To minimize the maximum loss within a neighborhood in the parameter space, SAM uses an ascent step, which perturbs the we... | [
36688,
14949,
15774
] | Train |
23,753 | 28 | Title: Sparse and Private Distributed Matrix Multiplication with Straggler Tolerance
Abstract: This paper considers the problem of outsourcing the multiplication of two private and sparse matrices to untrusted workers. Secret sharing schemes can be used to tolerate stragglers and guarantee information-theoretic privacy... | [
2363
] | Validation |
23,754 | 14 | Title: Fast Approximation of Polynomial Zeros and Matrix Eigenvalues
Abstract: We approximate the d complex zeros of a univariate polynomial p(x) of a degree d or those zeros that lie in a fixed region of interest on the complex plane such as a disc or a square. Our divide and conquer algorithm of STOC 1995 supports so... | [] | Test |
23,755 | 24 | Title: oneDNN Graph Compiler: A Hybrid Approach for High-Performance Deep Learning Compilation
Abstract: With the rapid development of deep learning models and hardware support for dense computing, the deep learning (DL) workload characteristics changed significantly from a few hot spots on compute-intensive operations... | [] | Test |
23,756 | 13 | Title: Brain-inspired learning in artificial neural networks: a review
Abstract: Artificial neural networks (ANNs) have emerged as an essential tool in machine learning, achieving remarkable success across diverse domains, including image and speech generation, game playing, and robotics. However, there exist fundament... | [
13511,
5960,
30230,
14554,
13564
] | Validation |
23,757 | 10 | Title: StratMed: Relevance Stratification for Low-resource Medication Recommendation
Abstract: With the growing imbalance between limited medical resources and escalating demands, AI-based clinical tasks have become paramount. Medication recommendation, as a sub-domain, aims to amalgamate longitudinal patient history w... | [] | Test |
23,758 | 23 | Title: On the use of static analysis to engage students with software quality improvement: An experience with PMD
Abstract: Static analysis tools are frequently used to scan the source code and detect deviations from the project coding guidelines. Given their importance, linters are often introduced to classrooms to ed... | [] | Train |
23,759 | 30 | Title: Large language models in biomedical natural language processing: benchmarks, baselines, and recommendations
Abstract: Biomedical literature is growing rapidly, making it challenging to curate and extract knowledge manually. Biomedical natural language processing (BioNLP) techniques that can automatically extract... | [
40192,
33220,
5514,
35883,
6157,
45273,
45822
] | Train |
23,760 | 16 | Title: ConsistentNeRF: Enhancing Neural Radiance Fields with 3D Consistency for Sparse View Synthesis
Abstract: Neural Radiance Fields (NeRF) has demonstrated remarkable 3D reconstruction capabilities with dense view images. However, its performance significantly deteriorates under sparse view settings. We observe that... | [
15944,
23014
] | Train |
23,761 | 30 | Title: Contrastive Learning of Sentence Embeddings from Scratch
Abstract: Contrastive learning has been the dominant approach to train state-of-the-art sentence embeddings. Previous studies have typically learned sentence embeddings either through the use of human-annotated natural language inference (NLI) data or via ... | [
39642,
9802,
33220
] | Test |
23,762 | 16 | Title: Location-Free Scene Graph Generation
Abstract: Scene Graph Generation (SGG) is a challenging visual understanding task. It combines the detection of entities and relationships between them in a scene. Both previous works and existing evaluation metrics rely on bounding box labels, even though many downstream sce... | [
29439
] | Train |
23,763 | 4 | Title: Test-Time Adaptation for Backdoor Defense
Abstract: Deep neural networks have played a crucial part in many critical domains, such as autonomous driving, face recognition, and medical diagnosis. However, deep neural networks are facing security threats from backdoor attacks and can be manipulated into attacker-d... | [
19520,
14890
] | Test |
23,764 | 9 | Title: Geometry of Rounding: Near Optimal Bounds and a New Neighborhood Sperner's Lemma
Abstract: A partition $\mathcal{P}$ of $\mathbb{R}^d$ is called a $(k,\varepsilon)$-secluded partition if, for every $\vec{p} \in \mathbb{R}^d$, the ball $\overline{B}_{\infty}(\varepsilon, \vec{p})$ intersects at most $k$ members o... | [] | Test |
23,765 | 30 | Title: Enhancing Phrase Representation by Information Bottleneck Guided Text Diffusion Process for Keyphrase Extraction
Abstract: Keyphrase extraction (KPE) is an important task in Natural Language Processing for many scenarios, which aims to extract keyphrases that are present in a given document. Many existing superv... | [
1778,
17989,
17117
] | Train |
23,766 | 30 | Title: i-Code V2: An Autoregressive Generation Framework over Vision, Language, and Speech Data
Abstract: The convergence of text, visual, and audio data is a key step towards human-like artificial intelligence, however the current Vision-Language-Speech landscape is dominated by encoder-only models which lack generati... | [
30243
] | Train |
23,767 | 30 | Title: Fauno: The Italian Large Language Model that will leave you senza parole!
Abstract: This paper presents Fauno, the first and largest open-source Italian conversational Large Language Model (LLM). Our goal with Fauno is to democratize the study of LLMs in Italian, demonstrating that obtaining a fine-tuned convers... | [
13700,
27652,
19238,
42471,
18739,
18489,
1789
] | Train |
23,768 | 6 | Title: Lumos in the Night Sky: AI-enabled Visual Tool for Exploring Night-Time Light Patterns
Abstract: We introduce NightPulse, an interactive tool for Night-time light (NTL) data visualization and analytics, which enables researchers and stakeholders to explore and analyze NTL data with a user-friendly platform. Powe... | [] | Validation |
23,769 | 3 | Title: When Cyber Aggression Prediction Meets BERT on Social Media
Abstract: : Increasingly, cyber aggression becomes the prevalent phenomenon that erodes the social media environment. However, due to subjective and expense, the traditional self-reporting questionnaire is hard to be employed in the current cyber area. ... | [] | Test |
23,770 | 8 | Title: Investigating the Impact of Variables on Handover Performance in 5G Ultra-Dense Networks
Abstract: The advent of 5G New Radio (NR) technology has revolutionized the landscape of wireless communication, offering various enhancements such as elevated system capacity, improved spectrum efficiency, and higher data t... | [] | Train |
23,771 | 5 | Title: DataCI: A Platform for Data-Centric AI on Streaming Data
Abstract: We introduce DataCI, a comprehensive open-source platform designed specifically for data-centric AI in dynamic streaming data settings. DataCI provides 1) an infrastructure with rich APIs for seamless streaming dataset management, data-centric pi... | [
43146,
7351
] | Test |
23,772 | 2 | Title: View-Based Axiomatic Reasoning for PSO (Extended Version)
Abstract: Weak memory models describe the semantics of concurrent programs on modern multi-core architectures. Reasoning techniques for concurrent programs, like Owicki-Gries-style proof calculi, have to be based on such a semantics, and hence need to be ... | [] | Train |
23,773 | 16 | Title: Towards Better Explanations for Object Detection
Abstract: Recent advances in Artificial Intelligence (AI) technology have promoted their use in almost every field. The growing complexity of deep neural networks (DNNs) makes it increasingly difficult and important to explain the inner workings and decisions of t... | [
15105
] | Validation |
23,774 | 24 | Title: Feature Relevance Analysis to Explain Concept Drift - A Case Study in Human Activity Recognition
Abstract: This article studies how to detect and explain concept drift. Human activity recognition is used as a case study together with a online batch learning situation where the quality of the labels used in the m... | [] | Validation |
23,775 | 16 | Title: Generative Semantic Segmentation
Abstract: We present Generative Semantic Segmentation (GSS), a generative learning approach for semantic segmentation. Uniquely, we cast semantic segmentation as an image-conditioned mask generation problem. This is achieved by replacing the conventional per-pixel discriminative ... | [
13077,
22654,
41109
] | Train |
23,776 | 8 | Title: Open RAN-empowered V2X Architecture: Challenges, Opportunities, and Research Directions
Abstract: The advances in the automotive industry with the ever-increasing request for Connected and Autonomous Vehicles (CAVs) are pushing for a new epoch of networked wireless systems. Vehicular communications, or Vehicle-t... | [] | Test |
23,777 | 16 | Title: No One Left Behind: Real-World Federated Class-Incremental Learning
Abstract: Federated learning (FL) is a hot collaborative training framework via aggregating model parameters of decentralized local clients. However, most FL methods unreasonably assume data categories of FL framework are known and fixed in adva... | [
22080,
34699,
22540,
13204,
9851
] | Train |
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