node_id int64 0 76.9k | label int64 0 39 | text stringlengths 13 124k | neighbors listlengths 0 3.32k | mask stringclasses 4
values |
|---|---|---|---|---|
41,478 | 24 | Title: Mining Themes in Clinical Notes to Identify Phenotypes and to Predict Length of Stay in Patients admitted with Heart Failure
Abstract: Heart failure is a syndrome which occurs when the heart is not able to pump blood and oxygen to support other organs in the body. Treatment and management of heart failure in pat... | [] | Train |
41,479 | 24 | Title: Learning to Transmit with Provable Guarantees in Wireless Federated Learning
Abstract: We propose a novel data-driven approach to allocate transmit power for federated learning (FL) over interference-limited wireless networks. The proposed method is useful in challenging scenarios where the wireless channel is c... | [] | Train |
41,480 | 36 | Title: Truthful Two-Facility Location with Candidate Locations
Abstract: We study a truthful two-facility location problem in which a set of agents have private positions on the line of real numbers and known approval preferences over two facilities. Given the locations of the two facilities, the cost of an agent is th... | [
37235,
40558
] | Train |
41,481 | 17 | Title: GPU-Accelerated LOD Generation for Point Clouds
Abstract: About: We introduce a GPU‐accelerated LOD construction process that creates a hybrid voxel‐point‐based variation of the widely used layered point cloud (LPC) structure for LOD rendering and streaming. The massive performance improvements provided by the G... | [
24716
] | Train |
41,482 | 24 | Title: Learning a Consensus Sub-Network with Polarization Regularization and One Pass Training
Abstract: The subject of green AI has been gaining attention within the deep learning community given the recent trend of ever larger and more complex neural network models. Existing solutions for reducing the computational l... | [] | Validation |
41,483 | 16 | Title: QD-BEV : Quantization-aware View-guided Distillation for Multi-view 3D Object Detection
Abstract: Multi-view 3D detection based on BEV (bird-eye-view) has recently achieved significant improvements. However, the huge memory consumption of state-of-the-art models makes it hard to deploy them on vehicles, and the ... | [
1141
] | Test |
41,484 | 30 | Title: The Inner Sentiments of a Thought
Abstract: Transformer-based large-scale language models (LLMs) are able to generate highly realistic text. They are duly able to express, and at least implicitly represent, a wide range of sentiments and color, from the obvious, such as valence and arousal to the subtle, such as... | [
4658
] | Train |
41,485 | 6 | Title: F-RDW: Redirected Walking with Forecasting Future Position
Abstract: In order to serve better VR experiences to users, existing predictive methods of Redirected Walking (RDW) exploit future information to reduce the number of reset occurrences. However, such methods often impose a precondition during deployment,... | [] | Train |
41,486 | 16 | Title: Morphological Image Analysis and Feature Extraction for Reasoning with AI-based Defect Detection and Classification Models
Abstract: As the use of artificial intelligent (AI) models becomes more prevalent in industries such as engineering and manufacturing, it is essential that these models provide transparent r... | [
34562
] | Train |
41,487 | 24 | Title: DoWG Unleashed: An Efficient Universal Parameter-Free Gradient Descent Method
Abstract: This paper proposes a new easy-to-implement parameter-free gradient-based optimizer: DoWG (Distance over Weighted Gradients). We prove that DoWG is efficient -- matching the convergence rate of optimally tuned gradient descen... | [
15816,
37384,
16094
] | Train |
41,488 | 27 | Title: A Survey on Datasets for Decision-making of Autonomous Vehicle
Abstract: Autonomous vehicles (AV) are expected to reshape future transportation systems, and decision-making is one of the critical modules toward high-level automated driving. To overcome those complicated scenarios that rule-based methods could no... | [
18283
] | Train |
41,489 | 8 | Title: Intent-driven Intelligent Control and Orchestration in O-RAN Via Hierarchical Reinforcement Learning
Abstract: rApps and xApps need to be controlled and orchestrated well in the open radio access network (O-RAN) so that they can deliver a guaranteed network performance in a complex multi-vendor environment. This... | [
22986,
5938
] | Validation |
41,490 | 27 | Title: Progressive Transfer Learning for Dexterous In-Hand Manipulation with Multi-Fingered Anthropomorphic Hand
Abstract: Dexterous in-hand manipulation for a multi-fingered anthropomorphic hand is extremely difficult because of the high-dimensional state and action spaces, rich contact patterns between the fingers an... | [] | Train |
41,491 | 30 | Title: LDEB - Label Digitization with Emotion Binarization and Machine Learning for Emotion Recognition in Conversational Dialogues
Abstract: Emotion recognition in conversations (ERC) is vital to the advancements of conversational AI and its applications. Therefore, the development of an automated ERC model using the ... | [
27232,
20185
] | Train |
41,492 | 16 | Title: Boosting Weakly Supervised Object Detection using Fusion and Priors from Hallucinated Depth
Abstract: Despite recent attention and exploration of depth for various tasks, it is still an unexplored modality for weakly-supervised object detection (WSOD). We propose an amplifier method for enhancing the performance... | [] | Train |
41,493 | 24 | Title: SRN-SZ: Deep Leaning-Based Scientific Error-bounded Lossy Compression with Super-resolution Neural Networks
Abstract: The fast growth of computational power and scales of modern super-computing systems have raised great challenges for the management of exascale scientific data. To maintain the usability of scien... | [
13094
] | Train |
41,494 | 24 | Title: Fourier-RNNs for Modelling Noisy Physics Data
Abstract: Classical sequential models employed in time-series prediction rely on learning the mappings from the past to the future instances by way of a hidden state. The Hidden states characterise the historical information and encode the required temporal dependenc... | [
11681
] | Train |
41,495 | 24 | Title: The RL Perceptron: Generalisation Dynamics of Policy Learning in High Dimensions
Abstract: Reinforcement learning (RL) algorithms have proven transformative in a range of domains. To tackle real-world domains, these systems often use neural networks to learn policies directly from pixels or other high-dimensiona... | [] | Validation |
41,496 | 30 | Title: Learning to Rank in Generative Retrieval
Abstract: Generative retrieval is a promising new paradigm in text retrieval that generates identifier strings of relevant passages as the retrieval target. This paradigm leverages powerful generation models and represents a new paradigm distinct from traditional learning... | [
8377,
26691,
8139
] | Test |
41,497 | 15 | Title: IMBUE: In-Memory Boolean-to-CUrrent Inference ArchitecturE for Tsetlin Machines
Abstract: In-memory computing for Machine Learning (ML) applications remedies the von Neumann bottlenecks by organizing computation to exploit parallelism and locality. Non-volatile memory devices such as Resistive RAM (ReRAM) offer ... | [] | Validation |
41,498 | 16 | Title: EndoSurf: Neural Surface Reconstruction of Deformable Tissues with Stereo Endoscope Videos
Abstract: Reconstructing soft tissues from stereo endoscope videos is an essential prerequisite for many medical applications. Previous methods struggle to produce high-quality geometry and appearance due to their inadequa... | [] | Validation |
41,499 | 4 | Title: Unveiling Security, Privacy, and Ethical Concerns of ChatGPT
Abstract: This paper delves into the realm of ChatGPT, an AI-powered chatbot that utilizes topic modeling and reinforcement learning to generate natural responses. Although ChatGPT holds immense promise across various industries, such as customer servi... | [
33220,
44173,
28752,
43930,
1917
] | Train |
41,500 | 8 | Title: Traffic Road Congestion System using by the internet of vehicles (IoV)
Abstract: Traffic problems have increased in modern life due to a huge number of vehicles, big cities, and ignoring the traffic rules. Vehicular ad hoc network (VANET) has improved the traffic system in previous some and plays a vital role in... | [] | Train |
41,501 | 16 | Title: TAME: Attention Mechanism Based Feature Fusion for Generating Explanation Maps of Convolutional Neural Networks
Abstract: The apparent "black box" nature of neural networks is a barrier to adoption in applications where explainability is essential. This paper presents TAME (Trainable Attention Mechanism for Expl... | [
45327
] | Train |
41,502 | 16 | Title: DiffComplete: Diffusion-based Generative 3D Shape Completion
Abstract: We introduce a new diffusion-based approach for shape completion on 3D range scans. Compared with prior deterministic and probabilistic methods, we strike a balance between realism, multi-modality, and high fidelity. We propose DiffComplete b... | [
34074,
21997,
30991
] | Validation |
41,503 | 24 | Title: Improving Patient Pre-screening for Clinical Trials: Assisting Physicians with Large Language Models
Abstract: Physicians considering clinical trials for their patients are met with the laborious process of checking many text based eligibility criteria. Large Language Models (LLMs) have shown to perform well for... | [
6140,
15301,
13510
] | Validation |
41,504 | 10 | Title: Standpoint Linear Temporal Logic
Abstract: Many complex scenarios require the coordination of agents holding different points of view, possibly cooperating and not necessarily agreeing. For this reason, standpoint logic (SL) has been recently introduced in the context of knowledge integration, allowing one to re... | [] | Test |
41,505 | 16 | Title: Regression-Oriented Knowledge Distillation for Lightweight Ship Orientation Angle Prediction with Optical Remote Sensing Images
Abstract: Ship orientation angle prediction (SOAP) with optical remote sensing images is an important image processing task, which often relies on deep convolutional neural networks (CN... | [
20456
] | Validation |
41,506 | 24 | Title: FedHQL: Federated Heterogeneous Q-Learning
Abstract: Federated Reinforcement Learning (FedRL) encourages distributed agents to learn collectively from each other's experience to improve their performance without exchanging their raw trajectories. The existing work on FedRL assumes that all participating agents a... | [
27806
] | Train |
41,507 | 16 | Title: An Application of Deep Learning for Sweet Cherry Phenotyping using YOLO Object Detection
Abstract: Tree fruit breeding is a long-term activity involving repeated measurements of various fruit quality traits on a large number of samples. These traits are traditionally measured by manually counting the fruits, wei... | [] | Test |
41,508 | 24 | Title: Performance Comparison and Implementation of Bayesian Variants for Network Intrusion Detection
Abstract: Bayesian classifiers perform well when each of the features is completely independent of the other which is not always valid in real world application. The aim of this study is to implement and compare the pe... | [] | Train |
41,509 | 23 | Title: Sustainability Competencies and Skills in Software Engineering: An Industry Perspective
Abstract: Achieving the UN Sustainable Development Goals (SDGs) demands adequate levels of awareness and actions to address sustainability challenges. Software systems will play an important role in moving towards these targe... | [] | Train |
41,510 | 27 | Title: Equilivest: A Robotic Vest to aid in Post-Stroke Dynamic Balance Rehabilitation
Abstract: Stroke is a medical condition that can affect motor function, particularly dynamic balance. Biofeedback can aid in rehabilitation procedures which help patients to regain lost motor activity and recover functionality. In th... | [] | Test |
41,511 | 16 | Title: A Method for Training-free Person Image Picture Generation
Abstract: The current state-of-the-art Diffusion model has demonstrated excellent results in generating images. However, the images are monotonous and are mostly the result of the distribution of images of people in the training set, making it challengin... | [] | Train |
41,512 | 31 | Title: Overview of the TREC 2022 NeuCLIR Track
Abstract: This is the first year of the TREC Neural CLIR (NeuCLIR) track, which aims to study the impact of neural approaches to cross-language information retrieval. The main task in this year's track was ad hoc ranked retrieval of Chinese, Persian, or Russian newswire do... | [
15272,
5362,
34388
] | Train |
41,513 | 20 | Title: Short Flip Sequences to Untangle Segments in the Plane
Abstract: A (multi)set of segments in the plane may form a TSP tour, a matching, a tree, or any multigraph. If two segments cross, then we can reduce the total length with the following flip operation. We remove a pair of crossing segments, and insert a pair... | [
45019
] | Train |
41,514 | 6 | Title: 'Generative CI' through Collective Response Systems
Abstract: How can many people (who may disagree) come together to answer a question or make a decision?"Collective response systems"are a type of generative collective intelligence (CI) facilitation process meant to address this challenge. They enable a form of... | [
44537,
29779,
23477,
30407
] | Train |
41,515 | 30 | Title: Improving Language Plasticity via Pretraining with Active Forgetting
Abstract: Pretrained language models (PLMs) are today the primary model for natural language processing. Despite their impressive downstream performance, it can be difficult to apply PLMs to new languages, a barrier to making their capabilities... | [
13700
] | Test |
41,516 | 24 | Title: GRAN is superior to GraphRNN: node orderings, kernel- and graph embeddings-based metrics for graph generators
Abstract: A wide variety of generative models for graphs have been proposed. They are used in drug discovery, road networks, neural architecture search, and program synthesis. Generating graphs has theor... | [] | Train |
41,517 | 16 | Title: Teaching CLIP to Count to Ten
Abstract: Large vision-language models (VLMs), such as CLIP, learn rich joint image-text representations, facilitating advances in numerous downstream tasks, including zero-shot classification and text-to-image generation. Nevertheless, existing VLMs exhibit a prominent well-documen... | [
26498,
2211,
33922,
37283,
18470,
2120,
11561,
7850,
15017,
18220,
45933,
30737
] | Validation |
41,518 | 4 | Title: A Dual Stealthy Backdoor: From Both Spatial and Frequency Perspectives
Abstract: Backdoor attacks pose serious security threats to deep neural networks (DNNs). Backdoored models make arbitrarily (targeted) incorrect predictions on inputs embedded with well-designed triggers while behaving normally on clean input... | [] | Train |
41,519 | 24 | Title: Unsupervised anomalies detection in IIoT edge devices networks using federated learning
Abstract: In a connection of many IoT devices that each collect data, normally training a machine learning model would involve transmitting the data to a central server which requires strict privacy rules. However, some owner... | [] | Train |
41,520 | 24 | Title: GeoPhy: Differentiable Phylogenetic Inference via Geometric Gradients of Tree Topologies
Abstract: Phylogenetic inference, grounded in molecular evolution models, is essential for understanding the evolutionary relationships in biological data. Accounting for the uncertainty of phylogenetic tree variables, which... | [] | Validation |
41,521 | 24 | Title: Deep Statistical Solver for Distribution System State Estimation
Abstract: Implementing accurate Distribution System State Estimation (DSSE) faces several challenges, among which the lack of observability and the high density of the distribution system. While data-driven alternatives based on Machine Learning mo... | [] | Train |
41,522 | 4 | Title: Integrating Homomorphic Encryption and Trusted Execution Technology for Autonomous and Confidential Model Refining in Cloud
Abstract: With the popularity of cloud computing and machine learning, it has been a trend to outsource machine learning processes (including model training and model-based inference) to cl... | [] | Train |
41,523 | 24 | Title: Multi-class Graph Clustering via Approximated Effective p-Resistance
Abstract: This paper develops an approximation to the (effective) $p$-resistance and applies it to multi-class clustering. Spectral methods based on the graph Laplacian and its generalization to the graph $p$-Laplacian have been a backbone of n... | [] | Validation |
41,524 | 30 | Title: AspectMMKG: A Multi-modal Knowledge Graph with Aspect-aware Entities
Abstract: Multi-modal knowledge graphs (MMKGs) combine different modal data (e.g., text and image) for a comprehensive understanding of entities. Despite the recent progress of large-scale MMKGs, existing MMKGs neglect the multi-aspect nature o... | [
35545,
44947
] | Validation |
41,525 | 24 | Title: Hierarchical learning, forecasting coherent spatio-temporal individual and aggregated building loads
Abstract: nan | [
33224
] | Train |
41,526 | 24 | Title: Internal Cross-layer Gradients for Extending Homogeneity to Heterogeneity in Federated Learning
Abstract: Federated learning (FL) inevitably confronts the challenge of system heterogeneity in practical scenarios. To enhance the capabilities of most model-homogeneous FL methods in handling system heterogeneity, w... | [] | Validation |
41,527 | 16 | Title: Linguistic Query-Guided Mask Generation for Referring Image Segmentation
Abstract: Referring image segmentation aims to segment the image region of interest according to the given language expression, which is a typical multi-modal task. Existing methods either adopt the pixel classification-based or the learnab... | [] | Train |
41,528 | 16 | Title: Autoregressive Omni-Aware Outpainting for Open-Vocabulary 360-Degree Image Generation
Abstract: A 360-degree (omni-directional) image provides an all-encompassing spherical view of a scene. Recently, there has been an increasing interest in synthesising 360-degree images from conventional narrow field of view (N... | [
10624,
30402,
15983
] | Test |
41,529 | 6 | Title: Evaluating Animation Parameters for Morphing Edge Drawings
Abstract: Partial edge drawings (PED) of graphs avoid edge crossings by subdividing each edge into three parts and representing only its stubs, i.e., the parts incident to the end-nodes. The morphing edge drawing model (MED) extends the PED drawing style... | [] | Validation |
41,530 | 27 | Title: Towards Computer-Vision Based Vineyard Navigation for Quadruped Robots
Abstract: —There is a dramatic shortage of skilled labor for modern vineyards. The Vinum project is developing a mobile robotic solution to autonomously navigate through vineyards for winter grapevine pruning. This necessitates an autonomous ... | [] | Validation |
41,531 | 16 | Title: DeepLCZChange: A Remote Sensing Deep Learning Model Architecture for Urban Climate Resilience
Abstract: Urban land use structures impact local climate conditions of metropolitan areas. To shed light on the mechanism of local climate wrt. urban land use, we present a novel, data-driven deep learning architecture ... | [] | Train |
41,532 | 3 | Title: AI4GCC - Team: Below Sea Level: Critiques and Improvements
Abstract: We present a critical analysis of the simulation framework RICE-N, an integrated assessment model (IAM) for evaluating the impacts of climate change on the economy. We identify key issues with RICE-N, including action masking and irrelevant act... | [] | Train |
41,533 | 27 | Title: DeFNet: Deconstructed Fabric Folding Strategy Based on Latent Space Roadmap and Flow-Based Policy
Abstract: Fabric folding through robots is complex and challenging due to the deformability of fabric. Based on deconstruction strategy, we split the complex fabric folding task into three relatively simple sub-task... | [] | Train |
41,534 | 24 | Title: Facing off World Model Backbones: RNNs, Transformers, and S4
Abstract: World models are a fundamental component in model-based reinforcement learning (MBRL) agents. To perform temporally extended and consistent simulations of the future in partially observable environments, world models need to possess long-term... | [
22816,
43201,
30083,
15624,
21580,
8019,
10679,
2552
] | Train |
41,535 | 24 | Title: Transferability of Graph Neural Networks using Graphon and Sampling Theories
Abstract: Graph neural networks (GNNs) have become powerful tools for processing graph-based information in various domains. A desirable property of GNNs is transferability, where a trained network can swap in information from a differe... | [] | Train |
41,536 | 27 | Title: Trajectory Tracking Control of Dual-PAM Soft Actuator with Hysteresis Compensator
Abstract: Soft robotics is an emergent and swiftly evolving field. Pneumatic actuators are suitable for driving soft robots because of their superior performance. However, their control is not easy due to their hysteresis character... | [
35640
] | Train |
41,537 | 23 | Title: Navigating the Complexity of Generative AI Adoption in Software Engineering
Abstract: In this paper, the adoption patterns of Generative Artificial Intelligence (AI) tools within software engineering are investigated. Influencing factors at the individual, technological, and societal levels are analyzed using a ... | [
27841,
39466,
2219,
23276,
18349,
23471,
46102
] | Test |
41,538 | 16 | Title: A Dimensional Structure based Knowledge Distillation Method for Cross-Modal Learning
Abstract: Due to limitations in data quality, some essential visual tasks are difficult to perform independently. Introducing previously unavailable information to transfer informative dark knowledge has been a common way to sol... | [] | Test |
41,539 | 2 | Title: Limitations of Game Comonads via Homomorphism Indistinguishability
Abstract: Abramsky, Dawar, and Wang (2017) introduced the pebbling comonad for k-variable counting logic and thereby initiated a line of work that imports category theoretic machinery to finite model theory. Such game comonads have been developed... | [] | Train |
41,540 | 20 | Title: Adaptive Surface Meshes from Harmonic Maps
Abstract: We present a novel shape-approximating anisotropic re-meshing algorithm as a geometric generalization of the adaptive moving mesh method. Conventional moving mesh methods reduce the interpolation error of a mesh that discretizes a given function over a planar ... | [] | Train |
41,541 | 28 | Title: Capacity-Achieving Sparse Regression Codes via Vector Approximate Message Passing
Abstract: Sparse regression codes (SPARCs) are a promising coding scheme that can approach the Shannon limit over Additive White Gaussian Noise (AWGN) channels. Previous works have proven the capacity-achieving property of SPARCs w... | [] | Test |
41,542 | 30 | Title: SMATCH++: Standardized and Extended Evaluation of Semantic Graphs
Abstract: The Smatch metric is a popular method for evaluating graph distances, as is necessary, for instance, to assess the performance of semantic graph parsing systems. However, we observe some issues in the metric that jeopardize meaningful ev... | [
23379,
13367
] | Train |
41,543 | 27 | Title: AmbieGen: A Search-based Framework for Autonomous Systems Testing
Abstract: Thorough testing of safety-critical autonomous systems, such as self-driving cars, autonomous robots, and drones, is essential for detecting potential failures before deployment. One crucial testing stage is model-in-the-loop testing, wh... | [] | Test |
41,544 | 23 | Title: Pre-training Code Representation with Semantic Flow Graph for Effective Bug Localization
Abstract: Enlightened by the big success of pre-training in natural language processing, pre-trained models for programming languages have been widely used to promote code intelligence in recent years. In particular, BERT ha... | [
24796
] | Train |
41,545 | 5 | Title: Cloud-Based Deep Learning: End-To-End Full-Stack Handwritten Digit Recognition
Abstract: Herein, we present Stratus, an end-to-end full-stack deep learning application deployed on the cloud. The rise of productionized deep learning necessitates infrastructure in the cloud that can provide such service (IaaS). In... | [] | Validation |
41,546 | 16 | Title: Tiny and Efficient Model for the Edge Detection Generalization
Abstract: Most high-level computer vision tasks rely on low-level image operations as their initial processes. Operations such as edge detection, image enhancement, and super-resolution, provide the foundations for higher level image analysis. In thi... | [] | Validation |
41,547 | 30 | Title: Negated Complementary Commonsense using Large Language Models
Abstract: Larger language models, such as GPT-3, have shown to be excellent in many tasks. However, we demonstrate that out-of-ordinary questions can throw the model off guard. This work focuses on finding answers to negated complementary questions in... | [] | Train |
41,548 | 26 | Title: Interaction Order Prediction for Temporal Graphs
Abstract: Link prediction in graphs is a task that has been widely investigated. It has been applied in various domains such as knowledge graph completion, content/item recommendation, social network recommendations and so on. The initial focus of most research wa... | [] | Train |
41,549 | 2 | Title: Streamlining Input/Output Logics with Sequent Calculi
Abstract: Input/Output (I/O) logic is a general framework for reasoning about conditional norms and/or causal relations. We streamline Bochman’s causal I/O logics via proof-search-oriented sequent calculi. Our calculi establish a natural syntactic link betwee... | [] | Train |
41,550 | 24 | Title: ISimDL: Importance Sampling-Driven Acceleration of Fault Injection Simulations for Evaluating the Robustness of Deep Learning
Abstract: Deep Learning (DL) systems have proliferated in many applications, requiring specialized hardware accelerators and chips. In the nano-era, devices have become increasingly more ... | [] | Train |
41,551 | 16 | Title: Addressing Discrepancies in Semantic and Visual Alignment in Neural Networks
Abstract: For the task of image classification, neural networks primarily rely on visual patterns. In robust networks, we would expect for visually similar classes to be represented similarly. We consider the problem of when semanticall... | [
12764
] | Train |
41,552 | 30 | Title: End-to-End Word-Level Pronunciation Assessment with MASK Pre-training
Abstract: Pronunciation assessment is a major challenge in the computer-aided pronunciation training system, especially at the word (phoneme)-level. To obtain word (phoneme)-level scores, current methods usually rely on aligning components to ... | [] | Test |
41,553 | 27 | Title: Solar-powered shape-changing origami microfliers
Abstract: Using wind to disperse microfliers that fall like seeds and leaves can help automate large-scale sensor deployments. Here, we present battery-free microfliers that can change shape in mid-air to vary their dispersal distance. We designed origami microfli... | [] | Train |
41,554 | 24 | Title: FrugalGPT: How to Use Large Language Models While Reducing Cost and Improving Performance
Abstract: There is a rapidly growing number of large language models (LLMs) that users can query for a fee. We review the cost associated with querying popular LLM APIs, e.g. GPT-4, ChatGPT, J1-Jumbo, and find that these mo... | [
7936,
36736,
13700,
1809,
5522,
20375,
11807,
8225,
6190,
28978,
10812,
14148,
33220,
38217,
39377,
20193,
31713,
17510,
45291,
12013,
36462
] | Train |
41,555 | 8 | Title: CaMP-INC: Components-aware Microservices Placement for In-Network Computing Cloud-Edge Continuum
Abstract: Microservices are a promising technology for future networks, and many research efforts have been devoted to optimally placing microservices in cloud data centers. However, microservices deployment in edge ... | [] | Validation |
41,556 | 16 | Title: ABAW : Facial Expression Recognition in the wild
Abstract: The fifth Affective Behavior Analysis in-the-wild (ABAW) competition has multiple challenges such as Valence-Arousal Estimation Challenge, Expression Classification Challenge, Action Unit Detection Challenge, Emotional Reaction Intensity Estimation Chall... | [
23627
] | Train |
41,557 | 16 | Title: Personalized Image Enhancement Featuring Masked Style Modeling
Abstract: We address personalized image enhancement in this study, where we enhance input images for each user based on the user's preferred images. Previous methods apply the same preferred style to all input images (i.e., only one style for each us... | [] | Validation |
41,558 | 27 | Title: Search-Based Task and Motion Planning for Hybrid Systems: Agile Autonomous Vehicles
Abstract: nan | [
7369
] | Validation |
41,559 | 30 | Title: Speaker Profiling in Multiparty Conversations
Abstract: In conversational settings, individuals exhibit unique behaviors, rendering a one-size-fits-all approach insufficient for generating responses by dialogue agents. Although past studies have aimed to create personalized dialogue agents using speaker persona ... | [] | Train |
41,560 | 16 | Title: RenderMe-360: A Large Digital Asset Library and Benchmarks Towards High-fidelity Head Avatars
Abstract: Synthesizing high-fidelity head avatars is a central problem for computer vision and graphics. While head avatar synthesis algorithms have advanced rapidly, the best ones still face great obstacles in real-wor... | [
39031,
1540,
34167
] | Train |
41,561 | 16 | Title: A Probabilistic Framework for Visual Localization in Ambiguous Scenes
Abstract: Visual localization allows autonomous robots to relocalize when losing track of their pose by matching their current observation with past ones. However, ambiguous scenes pose a challenge for such systems, as repetitive structures ca... | [
41849,
29157
] | Validation |
41,562 | 24 | Title: An Explainable Geometric-Weighted Graph Attention Network for Identifying Functional Networks Associated with Gait Impairment
Abstract: One of the hallmark symptoms of Parkinson's Disease (PD) is the progressive loss of postural reflexes, which eventually leads to gait difficulties and balance problems. Identify... | [] | Train |
41,563 | 11 | Title: AI-assisted ethics? considerations of AI simulation for the ethical assessment and design of assistive technologies
Abstract: Current ethical debates on the use of artificial intelligence (AI) in healthcare treat AI as a product of technology in three ways. First, by assessing risks and potential benefits of cur... | [] | Train |
41,564 | 3 | Title: Assigning AI: Seven Approaches for Students, with Prompts
Abstract: This paper examines the transformative role of Large Language Models (LLMs) in education and their potential as learning tools, despite their inherent risks and limitations. The authors propose seven approaches for utilizing AI in classrooms: AI... | [
31330
] | Train |
41,565 | 16 | Title: MuLTI: Efficient Video-and-Language Understanding with MultiWay-Sampler and Multiple Choice Modeling
Abstract: Video-and-language understanding has a variety of applications in the industry, such as video question answering, text-video retrieval and multi-label classification. Existing video-and-language underst... | [] | Validation |
41,566 | 22 | Title: Program Synthesis for Robot Learning from Demonstrations
Abstract: This paper presents a new synthesis-based approach for solving the Learning from Demonstration (LfD) problem in robotics. Given a set of user demonstrations, the goal of programmatic LfD is to learn a policy in a programming language that can be ... | [
19720,
6100,
43765,
43566
] | Validation |
41,567 | 30 | Title: Natural Language Processing of Aviation Occurrence Reports for Safety Management
Abstract: Occurrence reporting is a commonly used method in safety management systems to obtain insight in the prevalence of hazards and accident scenarios. In support of safety data analysis, reports are often categorized according... | [] | Test |
41,568 | 4 | Title: Verifiable Fully Homomorphic Encryption
Abstract: Fully Homomorphic Encryption (FHE) is seeing increasing real-world deployment to protect data in use by allowing computation over encrypted data. However, the same malleability that enables homomorphic computations also raises integrity issues, which have so far ... | [
31465
] | Train |
41,569 | 28 | Title: Efficient Integer Retrieving from Unordered Compressed Sequences
Abstract: The variable-length Reverse Multi-Delimiter (RMD) codes are known to represent sequences of unbounded and unordered integers. When applied to data compression, they combine a good compression ratio with fast decoding. In this paper, we in... | [] | Train |
41,570 | 30 | Title: Fairness of ChatGPT and the Role Of Explainable-Guided Prompts
Abstract: Our research investigates the potential of Large-scale Language Models (LLMs), specifically OpenAI's GPT, in credit risk assessment-a binary classification task. Our findings suggest that LLMs, when directed by judiciously designed prompts ... | [
38338,
20905,
30223,
1296,
36911,
44592,
25748,
40438,
12602
] | Test |
41,571 | 16 | Title: Disentangling Multi-view Representations Beyond Inductive Bias
Abstract: Multi-view (or -modality) representation learning aims to understand the relationships between different view representations. Existing methods disentangle multi-view representations into consistent and view-specific representations by intr... | [] | Validation |
41,572 | 23 | Title: An Ontology-Based Capability Description of MTP Modules
Abstract: The MTP is an emerging standard for the software integration of process modules into a control system. The core concept of MTP is to separate process plants into autonomous modules called PEA which offer easy to use high level services. Applying t... | [] | Test |
41,573 | 22 | Title: A Frame Stack Semantics for Sequential Core Erlang
Abstract: We present a small-step, frame stack style, semantics for sequential Core Erlang, a dynamically typed, impure functional programming language. The semantics and the properties that we prove are machine-checked with the Coq proof assistant. We improve o... | [] | Train |
41,574 | 16 | Title: High Accurate and Explainable Multi-Pill Detection Framework with Graph Neural Network-Assisted Multimodal Data Fusion
Abstract: Due to the significant resemblance in visual appearance, pill misuse is prevalent and has become a critical issue, responsible for one-third of all deaths worldwide. Pill identificatio... | [] | Test |
41,575 | 24 | Title: Regularizing Neural Networks with Meta-Learning Generative Models
Abstract: This paper investigates methods for improving generative data augmentation for deep learning. Generative data augmentation leverages the synthetic samples produced by generative models as an additional dataset for classification with sma... | [] | Train |
41,576 | 10 | Title: Growing and Serving Large Open-domain Knowledge Graphs
Abstract: Applications of large open-domain knowledge graphs (KGs) to real-world problems pose many unique challenges. In this paper, we present extensions to Saga our platform for continuous construction and serving of knowledge at scale. In particular, we ... | [
43530
] | Test |
41,577 | 22 | Title: Automatic Amortized Resource Analysis with Regular Recursive Types
Abstract: The goal of automatic resource bound analysis is to statically infer symbolic bounds on the resource consumption of the evaluation of a program. A longstanding challenge for automatic resource analysis is the inference of bounds that ar... | [] | Train |
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