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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|---|---|---|---|---|
24,478 | 24 | Title: Challenges and opportunities for machine learning in multiscale computational modeling
Abstract:
Many mechanical engineering applications call for multiscale computational modeling and simulation. However, solving for complex multiscale systems remains computationally onerous due to the high dimensionality of ... | [
27930
] | Train |
24,479 | 30 | Title: Human-like Summarization Evaluation with ChatGPT
Abstract: Evaluating text summarization is a challenging problem, and existing evaluation metrics are far from satisfactory. In this study, we explored ChatGPT's ability to perform human-like summarization evaluation using four human evaluation methods on five dat... | [
514,
39451,
13096,
8756,
13239,
26810,
2622,
17349,
35545,
33884,
39908,
25830,
15975,
24295,
26091,
38253,
26357,
28151,
35455
] | Validation |
24,480 | 30 | Title: How Generative Spoken Language Modeling Encodes Noisy Speech: Investigation from Phonetics to Syntactics
Abstract: We examine the speech modeling potential of generative spoken language modeling (GSLM), which involves using learned symbols derived from data rather than phonemes for speech analysis and synthesis.... | [
37461
] | Test |
24,481 | 30 | Title: Explore the difficulty of words and its influential attributes based on the Wordle game
Abstract: We adopt the distribution and expectation of guessing times in game Wordle as metrics to predict the difficulty of words and explore their influence factors. In order to predictthe difficulty distribution, we use Mo... | [] | Test |
24,482 | 24 | Title: Reasonable Scale Machine Learning with Open-Source Metaflow
Abstract: As Machine Learning (ML) gains adoption across industries and new use cases, practitioners increasingly realize the challenges around effectively developing and iterating on ML systems: reproducibility, debugging, scalability, and documentatio... | [
45378
] | Train |
24,483 | 24 | Title: Continual Improvement of Threshold-Based Novelty Detection
Abstract: When evaluated in dynamic, open-world situations, neural networks struggle to detect unseen classes. This issue complicates the deployment of continual learners in realistic environments where agents are not explicitly informed when novel categ... | [] | Train |
24,484 | 24 | Title: Improving Customer Experience in Call Centers with Intelligent Customer-Agent Pairing
Abstract: nan | [] | Train |
24,485 | 4 | Title: Fairness and Privacy-Preserving in Federated Learning: A Survey
Abstract: Federated learning (FL) as distributed machine learning has gained popularity as privacy-aware Machine Learning (ML) systems have emerged as a technique that prevents privacy leakage by building a global model and by conducting individuali... | [
29102,
31275,
3236,
46054
] | Validation |
24,486 | 10 | Title: Steps Towards Satisficing Distributed Dynamic Team Trust
Abstract: Defining and measuring trust in dynamic, multiagent teams is important in a range of contexts, particularly in defense and security domains. Team members should be trusted to work towards agreed goals and in accordance with shared values. In this... | [
26286
] | Train |
24,487 | 6 | Title: Notably Inaccessible - Data Driven Understanding of Data Science Notebook (In)Accessibility
Abstract: Computational notebooks, tools that facilitate storytelling through exploration, data analysis, and information visualization, have become the widely accepted standard in the data science community. These notebo... | [
21151
] | Train |
24,488 | 24 | Title: Evaluating the "Learning on Graphs" Conference Experience
Abstract: With machine learning conferences growing ever larger, and reviewing processes becoming increasingly elaborate, more data-driven insights into their workings are required. In this report, we present the results of a survey accompanying the first... | [] | Train |
24,489 | 17 | Title: Efficient Inverse-designed Structural Infill for Complex Engineering Structures
Abstract: Inverse design of high-resolution and fine-detailed 3D lightweight mechanical structures is notoriously expensive due to the need for vast computational resources and the use of very fine-scaled complex meshes. Furthermore,... | [] | Train |
24,490 | 26 | Title: Estimating Policy Effects in a Social Network with Independent Set Sampling
Abstract: Evaluating the impact of policy interventions on respondents who are embedded in a social network is often challenging due to the presence of network interference within the treatment groups, as well as between treatment and no... | [] | Test |
24,491 | 24 | Title: Initial Guessing Bias: How Untrained Networks Favor Some Classes
Abstract: The initial state of neural networks plays a central role in conditioning the subsequent training dynamics. In the context of classification problems, we provide a theoretical analysis demonstrating that the structure of a neural network ... | [] | Train |
24,492 | 28 | Title: Age-of-Information Dependent Random Access in NOMA-Aided Multiple-Relay Slotted ALOHA
Abstract: We propose and evaluate the performance of a Non-Orthogonal Multiple Access (NOMA) dual-hop multiple relay (MR) network from an information freshness perspective using the Age of Information (AoI) metric. More specifi... | [] | Train |
24,493 | 16 | Title: End-to-End Latency Optimization of Multi-view 3D Reconstruction for Disaster Response
Abstract: In order to plan rapid response during disasters, first responder agencies often adopt ‘bring your own device’ (BYOD) model with inexpensive mobile edge devices (e.g., drones, robots, tablets) for complex video analyt... | [] | Train |
24,494 | 16 | Title: FreeDoM: Training-Free Energy-Guided Conditional Diffusion Model
Abstract: Recently, conditional diffusion models have gained popularity in numerous applications due to their exceptional generation ability. However, many existing methods are training-required. They need to train a time-dependent classifier or a ... | [
6756,
23524,
16103,
3690,
15983,
14000,
13655,
34074,
27197
] | Test |
24,495 | 23 | Title: The South African Software Industry as a Key Component of Economic Development: Pipedream or Possibility
Abstract: The Information and Communication sector has undoubtedly played a pivotal role in changing the way people live nowadays. Almost every area of our lives is affected by the presence and the use of the... | [] | Validation |
24,496 | 30 | Title: More Data Types More Problems: A Temporal Analysis of Complexity, Stability, and Sensitivity in Privacy Policies
Abstract: Collecting personally identifiable information (PII) on data subjects has become big business. Data brokers and data processors are part of a multi-billion-dollar industry that profits from ... | [] | Train |
24,497 | 27 | Title: FROG: A new people detection dataset for knee-high 2D range finders
Abstract: Mobile robots require knowledge of the environment, especially of humans located in its vicinity. While the most common approaches for detecting humans involve computer vision, an often overlooked hardware feature of robots for people ... | [] | Validation |
24,498 | 27 | Title: A Decentralized Spike-based Learning Framework for Sequential Capture in Discrete Perimeter Defense Problem
Abstract: This paper proposes a novel Decentralized Spike-based Learning (DSL) framework for the discrete Perimeter Defense Problem (d-PDP). A team of defenders is operating on the perimeter to protect the... | [
44275,
40075
] | Train |
24,499 | 5 | Title: Fever: Optimal Responsive View Synchronisation
Abstract: View synchronisation is an important component of many modern Byzantine Fault Tolerant State Machine Replication (SMR) systems in the partial synchrony model. Roughly, the efficiency of view synchronisation is measured as the word complexity and latency re... | [
3913
] | Train |
24,500 | 15 | Title: HashMem: PIM-based Hashmap Accelerator
Abstract: Hashmaps are widely utilized data structures in many applications to perform a probe on key-value pairs. However, their performance tends to degrade with the increase in the dataset size, which leads to expensive off-chip memory accesses to perform bucket traversa... | [] | Test |
24,501 | 30 | Title: Hedges in Bidirectional Translations of Publicity-Oriented Documents
Abstract: Hedges are widely studied across registers and disciplines, yet research on the translation of hedges in political texts is extremely limited. This contrastive study is dedicated to investigating whether there is a diachronic change i... | [] | Validation |
24,502 | 24 | Title: EPAM: A Predictive Energy Model for Mobile AI
Abstract: Artificial intelligence (AI) has enabled a new paradigm of smart applications -- changing our way of living entirely. Many of these AI-enabled applications have very stringent latency requirements, especially for applications on mobile devices (e.g., smartp... | [] | Validation |
24,503 | 31 | Title: Large Language Models are Zero-Shot Rankers for Recommender Systems
Abstract: Recently, large language models (LLMs) (e.g. GPT-4) have demonstrated impressive general-purpose task-solving abilities, including the potential to approach recommendation tasks. Along this line of research, this work aims to investiga... | [
40192,
4610,
24706,
21252,
13700,
19084,
397,
32652,
27281,
3352,
6428,
30764,
10676,
2613,
9783,
3643,
34491,
9917,
41029,
14282,
43979,
23629,
2771,
10069,
19159,
39639,
12251,
45406,
7904,
5744,
7665
] | Validation |
24,504 | 16 | Title: Optimising Event-Driven Spiking Neural Network with Regularisation and Cutoff
Abstract: Spiking neural networks (SNNs), a variant of artificial neural networks (ANNs) with the benefit of energy efficiency, have achieved the accuracy close to its ANN counterparts, on benchmark datasets such as CIFAR10/100 and Ima... | [
23280,
28580,
39312
] | Test |
24,505 | 28 | Title: Fundamental Limits of Holographic MIMO Channels: Tackling Non-Separable Transceiver Correlation
Abstract: Holographic MIMO communication was proposed to sufficiently exploit the propagation characteristics of electromagnetic channels and boost the channel capacity. Unfortunately, the application of the electroma... | [
42320,
7021
] | Train |
24,506 | 24 | Title: Asynchronous Algorithmic Alignment with Cocycles
Abstract: State-of-the-art neural algorithmic reasoners make use of message passing in graph neural networks (GNNs). But typical GNNs blur the distinction between the definition and invocation of the message function, forcing a node to send messages to its neighbo... | [
37532,
22612
] | Train |
24,507 | 24 | Title: BeMap: Balanced Message Passing for Fair Graph Neural Network
Abstract: Graph Neural Network (GNN) has shown strong empirical performance in many downstream tasks by iteratively aggregating information from the local neighborhood of each node, i.e., message passing. However, concrete evidence has revealed that a... | [
263
] | Train |
24,508 | 16 | Title: Learning to Pan-sharpening with Memories of Spatial Details
Abstract: Pan-sharpening, as one of the most commonly used techniques in remote sensing systems, aims to inject spatial details from panchromatic images into multispectral images (MS) to obtain high-resolution multispectral images. Since deep learning h... | [] | Train |
24,509 | 24 | Title: Achieving Counterfactual Fairness for Anomaly Detection
Abstract: Ensuring fairness in anomaly detection models has received much attention recently as many anomaly detection applications involve human beings. However, existing fair anomaly detection approaches mainly focus on association-based fairness notions.... | [] | Test |
24,510 | 9 | Title: Approximate degree lower bounds for oracle identification problems
Abstract: The approximate degree of a Boolean function is the minimum degree of real polynomial that approximates it pointwise. For any Boolean function, its approximate degree serves as a lower bound on its quantum query complexity, and generica... | [] | Train |
24,511 | 24 | Title: Probably Approximately Correct Federated Learning
Abstract: Federated learning (FL) is a new distributed learning paradigm, with privacy, utility, and efficiency as its primary pillars. Existing research indicates that it is unlikely to simultaneously attain infinitesimal privacy leakage, utility loss, and effic... | [
1035
] | Train |
24,512 | 30 | Title: Appraising the Potential Uses and Harms of LLMs for Medical Systematic Reviews
Abstract: Medical systematic reviews are crucial for informing clinical decision making and healthcare policy. But producing such reviews is onerous and time-consuming. Thus, high-quality evidence synopses are not available for many q... | [
42908
] | Train |
24,513 | 16 | Title: Steerable Equivariant Representation Learning
Abstract: Pre-trained deep image representations are useful for post-training tasks such as classification through transfer learning, image retrieval, and object detection. Data augmentations are a crucial aspect of pre-training robust representations in both supervi... | [
18603
] | Test |
24,514 | 27 | Title: Navigation Through Endoluminal Channels Using Q-Learning
Abstract: In this paper, we present a novel approach to navigating endoluminal channels, specifically within the bronchial tubes, using Q-learning, a reinforcement learning algorithm. The proposed method involves training a Q-learning agent to navigate a s... | [] | Train |
24,515 | 16 | Title: DeepFlorist: Rethinking Deep Neural Networks and Ensemble Learning as A Meta-Classifier For Object Classification
Abstract: In this paper, we propose a novel learning paradigm called"DeepFlorist"for flower classification using ensemble learning as a meta-classifier. DeepFlorist combines the power of deep learnin... | [] | Train |
24,516 | 27 | Title: Occlusion-Aware Path Planning for Collision Avoidance: Leveraging Potential Field Method with Responsibility-Sensitive Safety
Abstract: Collision avoidance (CA) has always been the foremost task for autonomous vehicles (AVs) under safety criteria. And path planning is directly responsible for generating a safe p... | [] | Train |
24,517 | 16 | Title: Physically Realizable Natural-Looking Clothing Textures Evade Person Detectors via 3D Modeling
Abstract: Recent works have proposed to craft adversarial clothes for evading person detectors, while they are either only effective at limited viewing angles or very conspicuous to humans. We aim to craft adversarial ... | [] | Validation |
24,518 | 2 | Title: Proof Generation for CDCL Solvers Using Gauss-Jordan Elimination
Abstract: Traditional Boolean satisfiability (SAT) solvers based on the conflict-driven clause-learning (CDCL) framework fare poorly on formulas involving large numbers of parity constraints. The CryptoMiniSat solver augments CDCL with Gauss-Jordan... | [] | Train |
24,519 | 4 | Title: A Multi-Client Searchable Encryption Scheme for IoT Environment
Abstract: The proliferation of connected devices through Internet connectivity presents both opportunities for smart applications and risks to security and privacy. It is vital to proactively address these concerns to fully leverage the potential of... | [] | Train |
24,520 | 16 | Title: An Overview of Challenges in Egocentric Text-Video Retrieval
Abstract: Text-video retrieval contains various challenges, including biases coming from diverse sources. We highlight some of them supported by illustrations to open a discussion. Besides, we address one of the biases, frame length bias, with a simple... | [] | Validation |
24,521 | 24 | Title: Parallel Algorithms Align with Neural Execution
Abstract: Neural algorithmic reasoners are parallel processors. Teaching them sequential algorithms contradicts this nature, rendering a significant share of their computations redundant. Parallel algorithms however may exploit their full computational power, there... | [
37532
] | Train |
24,522 | 24 | Title: NetGPT: A Native-AI Network Architecture Beyond Provisioning Personalized Generative Services
Abstract: Large language models (LLMs) have triggered tremendous success to empower daily life by generative information, and the personalization of LLMs could further contribute to their applications due to better alig... | [
33220,
13700,
30925,
35951
] | Validation |
24,523 | 24 | Title: Federated Learning Operations Made Simple with Flame
Abstract: Distributed machine learning approaches, including a broad class of federated learning techniques, present a number of benefits when deploying machine learning applications over widely distributed infrastructures. To realize the expected benefits, ho... | [] | Validation |
24,524 | 30 | Title: PMIndiaSum: Multilingual and Cross-lingual Headline Summarization for Languages in India
Abstract: This paper introduces PMIndiaSum, a new multilingual and massively parallel headline summarization corpus focused on languages in India. Our corpus covers four language families, 14 languages, and the largest to da... | [
17952,
24003,
13700,
28757,
28151
] | Train |
24,525 | 31 | Title: Cross-domain Recommender Systems via Multimodal Domain Adaptation
Abstract: Collaborative Filtering (CF) has emerged as one of the most prominent implementation strategies for building recommender systems. The key idea is to exploit the usage patterns of individuals to generate personalized recommendations. CF t... | [] | Train |
24,526 | 28 | Title: New Binary Self-Dual Cyclic Codes with Square-Root-Like Minimum Distances
Abstract: The construction of self-dual codes over small fields such that their minimum distances are as large as possible is a long-standing challenging problem in the coding theory. In 2009, a family of binary self-dual cyclic codes with... | [
27961,
29805
] | Test |
24,527 | 6 | Title: Perceptions and Realities of Text-to-Image Generation
Abstract: Generative artificial intelligence (AI) is a widely popular technology that will have a profound impact on society and individuals. Less than a decade ago, it was thought that creative work would be among the last to be automated - yet today, we see... | [
42010,
3364,
15023
] | Validation |
24,528 | 16 | Title: Detachable Novel Views Synthesis of Dynamic Scenes Using Distribution-Driven Neural Radiance Fields
Abstract: Representing and synthesizing novel views in real-world dynamic scenes from casual monocular videos is a long-standing problem. Existing solutions typically approach dynamic scenes by applying geometry t... | [
18283
] | Test |
24,529 | 5 | Title: Multi-FedLS: a Framework for Cross-Silo Federated Learning Applications on Multi-Cloud Environments
Abstract: Federated Learning (FL) is a distributed Machine Learning (ML) technique that can benefit from cloud environments while preserving data privacy. We propose Multi-FedLS, a framework that manages multi-clo... | [] | Train |
24,530 | 30 | Title: Candidate Soups: Fusing Candidate Results Improves Translation Quality for Non-Autoregressive Translation
Abstract: Non-autoregressive translation (NAT) model achieves a much faster inference speed than the autoregressive translation (AT) model because it can simultaneously predict all tokens during inference. H... | [] | Test |
24,531 | 10 | Title: PDPK: A Framework to Synthesise Process Data and Corresponding Procedural Knowledge for Manufacturing
Abstract: Procedural knowledge describes how to accomplish tasks and mitigate problems. Such knowledge is commonly held by domain experts, e.g. operators in manufacturing who adjust parameters to achieve quality... | [] | Test |
24,532 | 24 | Title: Mixup-Augmented Meta-Learning for Sample-Efficient Fine-Tuning of Protein Simulators
Abstract: Molecular dynamics simulations have emerged as a fundamental instrument for studying biomolecules. At the same time, it is desirable to perform simulations of a collection of particles under various conditions in which... | [] | Train |
24,533 | 34 | Title: Efficient Algorithms for Exact Graph Matching on Correlated Stochastic Block Models with Constant Correlation
Abstract: We consider the problem of graph matching, or learning vertex correspondence, between two correlated stochastic block models (SBMs). The graph matching problem arises in various fields, includi... | [
30493
] | Test |
24,534 | 10 | Title: Machine Learning Recommendation System For Health Insurance Decision Making In Nigeria
Abstract: The uptake of health insurance has been poor in Nigeria, a significant step to improving this includes improved awareness, access to information and tools to support decision making. Artificial intelligence (AI) base... | [] | Test |
24,535 | 24 | Title: SF-SGL: Solver-Free Spectral Graph Learning From Linear Measurements
Abstract: This work introduces a highly scalable spectral graph densification (SGL) framework for learning resistor networks with linear measurements, such as node voltages and currents. We show that the proposed graph learning approach is equi... | [] | Train |
24,536 | 24 | Title: Discriminative Graph-level Anomaly Detection via Dual-students-teacher Model
Abstract: Different from the current node-level anomaly detection task, the goal of graph-level anomaly detection is to find abnormal graphs that significantly differ from others in a graph set. Due to the scarcity of research on the wo... | [] | Train |
24,537 | 10 | Title: Learning Multi-Agent Intention-Aware Communication for Optimal Multi-Order Execution in Finance
Abstract: Order execution is a fundamental task in quantitative finance, aiming at finishing acquisition or liquidation for a number of trading orders of the specific assets. Recent advance in model-free reinforcement... | [] | Train |
24,538 | 24 | Title: Structured Low-Rank Tensor Learning
Abstract: We consider the problem of learning low-rank tensors from partial observations with structural constraints, and propose a novel factorization of such tensors, which leads to a simpler optimization problem. The resulting problem is an optimization problem on manifolds... | [
40928
] | Validation |
24,539 | 16 | Title: Beyond the Pixel: a Photometrically Calibrated HDR Dataset for Luminance and Color Temperature Prediction
Abstract: Light plays an important role in human well-being. However, most computer vision tasks treat pixels without considering their relationship to physical luminance. To address this shortcoming, we int... | [] | Test |
24,540 | 4 | Title: Vector-Based Efficient Data Hiding in Encrypted Images via Multi-MSB Replacement
Abstract: As an essential technique for data privacy protection, reversible data hiding in encrypted images (RDHEI) methods have drawn intensive research interest in recent years. In response to the increasing demand for protecting ... | [] | Train |
24,541 | 24 | Title: STERLING: Synergistic Representation Learning on Bipartite Graphs
Abstract: The bipartite graph is a powerful data structure for modeling interactions between two types of nodes, of which a fundamental challenge is how to extract informative node embeddings. Self-Supervised Learning (SSL) is a promising paradigm... | [] | Train |
24,542 | 16 | Title: Online Prototype Learning for Online Continual Learning
Abstract: Online continual learning (CL) studies the problem of learning continuously from a single-pass data stream while adapting to new data and mitigating catastrophic forgetting. Recently, by storing a small subset of old data, replay-based methods hav... | [] | Test |
24,543 | 24 | Title: Federated Learning Over Images: Vertical Decompositions and Pre-Trained Backbones Are Difficult to Beat
Abstract: We carefully evaluate a number of algorithms for learning in a federated environment, and test their utility for a variety of image classification tasks. We consider many issues that have not been ad... | [] | Test |
24,544 | 7 | Title: Electro-Chemo-Mechanical Modeling of Multiscale Active Materials for Next-Generation Energy Storage: Opportunities and Challenges
Abstract: The recent geopolitical crisis resulted in a gas price surge. Although lithium-ion batteries represent the best available rechargeable battery technology, a significant ener... | [] | Train |
24,545 | 27 | Title: Towards Safe Autonomous Driving Policies using a Neuro-Symbolic Deep Reinforcement Learning Approach
Abstract: The dynamic nature of driving environments and the presence of diverse road users pose significant challenges for decision-making in autonomous driving. Deep reinforcement learning (DRL) has emerged as ... | [
17520,
30918
] | Train |
24,546 | 16 | Title: An Open Patch Generator based Fingerprint Presentation Attack Detection using Generative Adversarial Network
Abstract: The low-cost, user-friendly, and convenient nature of Automatic Fingerprint Recognition Systems (AFRS) makes them suitable for a wide range of applications. This spreading use of AFRS also makes... | [] | Validation |
24,547 | 6 | Title: Assessing Augmented Reality Selection Techniques for Passengers in Moving Vehicles: A Real-World User Study
Abstract: Nowadays, cars offer many possibilities to explore the world around you by providing location-based information displayed on a 2D-Map. However, this information is often only available to front-s... | [] | Train |
24,548 | 37 | Title: A comprehensive review of visualization methods for association rule mining: Taxonomy, Challenges, Open problems and Future ideas
Abstract: Association rule mining is intended for searching for the relationships between attributes in transaction databases. The whole process of rule discovery is very complex, and... | [
1005
] | Train |
24,549 | 16 | Title: Attack-SAM: Towards Attacking Segment Anything Model With Adversarial Examples
Abstract: Segment Anything Model (SAM) has attracted significant attention recently, due to its impressive performance on various downstream tasks in a zero-short manner. Computer vision (CV) area might follow the natural language pro... | [
27232,
28932,
27866,
1899,
42032,
25368,
33267,
25975,
14168,
3066
] | Train |
24,550 | 16 | Title: AnyDoor: Zero-shot Object-level Image Customization
Abstract: This work presents AnyDoor, a diffusion-based image generator with the power to teleport target objects to new scenes at user-specified locations in a harmonious way. Instead of tuning parameters for each object, our model is trained only once and eff... | [
10624,
9217,
20514,
4643,
20484,
29536,
37126,
31913,
26410,
25739,
11820,
41874,
11894,
34074,
18205
] | Train |
24,551 | 28 | Title: Integrated Sensing and Communication Signals Toward 5G-A and 6G: A Survey
Abstract: Integrated sensing and communication (ISAC) has the advantages of efficient spectrum utilization and low hardware cost. It is promising to be implemented in the fifth-generation-advanced (5G-A) and sixth-generation (6G) mobile co... | [
28097,
24648,
2161,
33777,
30905,
37340
] | Validation |
24,552 | 30 | Title: Diversity Measures: Domain-Independent Proxies for Failure in Language Model Queries
Abstract: Error prediction in large language models often relies on domain-specific information. In this paper, we present measures for quantification of error in the response of a large language model based on the diversity of ... | [
12896,
40610,
28963,
4071,
31431,
38697,
44623,
27185,
14035,
21011,
44246,
5503
] | Validation |
24,553 | 16 | Title: Efficient Semantic Segmentation by Altering Resolutions for Compressed Videos
Abstract: Video semantic segmentation (VSS) is a computationally expensive task due to the per-frame prediction for videos of high frame rates. In recent work, compact models or adaptive network strategies have been proposed for effici... | [] | Train |
24,554 | 8 | Title: Node Cardinality Estimation in a Heterogeneous Wireless Network Deployed Over a Large Region Using a Mobile Base Station
Abstract: We consider the problem of estimation of the node cardinality of each node type in a heterogeneous wireless network with $T$ types of nodes deployed over a large region, where $T \ge... | [] | Validation |
24,555 | 16 | Title: Anomaly Detection in Satellite Videos using Diffusion Models
Abstract: The definition of anomaly detection is the identification of an unexpected event. Real-time detection of extreme events such as wildfires, cyclones, or floods using satellite data has become crucial for disaster management. Although several e... | [] | Train |
24,556 | 24 | Title: Tier Balancing: Towards Dynamic Fairness over Underlying Causal Factors
Abstract: The pursuit of long-term fairness involves the interplay between decision-making and the underlying data generating process. In this paper, through causal modeling with a directed acyclic graph (DAG) on the decision-distribution in... | [
9380
] | Train |
24,557 | 24 | Title: A Study of Bayesian Neural Network Surrogates for Bayesian Optimization
Abstract: Bayesian optimization is a highly efficient approach to optimizing objective functions which are expensive to query. These objectives are typically represented by Gaussian process (GP) surrogate models which are easy to optimize an... | [
19753
] | Train |
24,558 | 16 | Title: Knowledge Distillation from 3D to Bird’s-Eye-View for LiDAR Semantic Segmentation
Abstract: LiDAR point cloud segmentation is one of the most fundamental tasks for autonomous driving scene understanding. However, it is difficult for existing models to achieve both high inference speed and accuracy simultaneously... | [] | Train |
24,559 | 24 | Title: Learning Generative Models with Goal-conditioned Reinforcement Learning
Abstract: We present a novel, alternative framework for learning generative models with goal-conditioned reinforcement learning. We define two agents, a goal conditioned agent (GC-agent) and a supervised agent (S-agent). Given a user-input i... | [] | Train |
24,560 | 16 | Title: A POV-based Highway Vehicle Trajectory Dataset and Prediction Architecture
Abstract: Vehicle Trajectory datasets that provide multiple point-of-views (POVs) can be valuable for various traffic safety and management applications. Despite the abundance of trajectory datasets, few offer a comprehensive and diverse ... | [
18283
] | Train |
24,561 | 8 | Title: To Risk or Not to Risk: Learning with Risk Quantification for IoT Task Offloading in UAVs
Abstract: A deep reinforcement learning technique is presented for task offloading decision-making algorithms for a multi-access edge computing (MEC) assisted unmanned aerial vehicle (UAV) network in a smart farm Internet o... | [
11716
] | Train |
24,562 | 27 | Title: Long-range UAV Thermal Geo-localization with Satellite Imagery
Abstract: Onboard sensors, such as cameras and thermal sensors, have emerged as effective alternatives to Global Positioning System (GPS) for geo-localization in Unmanned Aerial Vehicle (UAV) navigation. Since GPS can suffer from signal loss and spoo... | [] | Validation |
24,563 | 24 | Title: Class-Incremental Mixture of Gaussians for Deep Continual Learning
Abstract: Continual learning models for stationary data focus on learning and retaining concepts coming to them in a sequential manner. In the most generic class-incremental environment, we have to be ready to deal with classes coming one by one,... | [] | Train |
24,564 | 10 | Title: A Memory Efficient Deep Reinforcement Learning Approach For Snake Game Autonomous Agents
Abstract: To perform well, Deep Reinforcement Learning (DRL) methods require significant memory resources and computational time. Also, sometimes these systems need additional environment information to achieve a good reward... | [] | Test |
24,565 | 23 | Title: A Review of Attacks Against Language-Based Package Managers
Abstract: The liberalization of software licensing has led to unprecedented re-use of software. Alongside drastically increasing productivity and arguably quality of derivative works, it has also introduced multiple attack vectors. The management of sof... | [] | Validation |
24,566 | 30 | Title: Multi-Grained Knowledge Retrieval for End-to-End Task-Oriented Dialog
Abstract: Retrieving proper domain knowledge from an external database lies at the heart of end-to-end task-oriented dialog systems to generate informative responses. Most existing systems blend knowledge retrieval with response generation and... | [] | Train |
24,567 | 39 | Title: Dynamical Stability of Threshold Networks over Undirected Signed Graphs
Abstract: In this paper we study the dynamic behavior of threshold networks on undirected signed graphs. While much attention has been given to the convergence and long-term behavior of this model, an open question remains: How does the unde... | [] | Train |
24,568 | 15 | Title: Reducing the memory usage of Lattice-Boltzmann schemes with a DWT-based compression
Abstract: This paper presents a new solution to address the challenge of increasing memory usage in high-performance computing simulations of Lattice-Bolzmann or Finite-Volume schemes.Our approach utilises a lossy compression sch... | [] | Train |
24,569 | 4 | Title: Location Privacy Threats and Protections in Future Vehicular Networks: A Comprehensive Review
Abstract: Location privacy is critical in vehicular networks, where drivers' trajectories and personal information can be exposed, allowing adversaries to launch data and physical attacks that threaten drivers' safety a... | [] | Validation |
24,570 | 27 | Title: Optimality Principles in Spacecraft Neural Guidance and Control
Abstract: Spacecraft and drones aimed at exploring our solar system are designed to operate in conditions where the smart use of onboard resources is vital to the success or failure of the mission. Sensorimotor actions are thus often derived from hi... | [
6370,
42023
] | Test |
24,571 | 10 | Title: Online Safety Property Collection and Refinement for Safe Deep Reinforcement Learning in Mapless Navigation
Abstract: Safety is essential for deploying Deep Reinforcement Learning (DRL) algorithms in real-world scenarios. Recently, verification approaches have been proposed to allow quantifying the number of vio... | [
13786,
29750
] | Train |
24,572 | 27 | Title: Enhancing Human-Robot Collaboration Transportation through Obstacle-Aware Vibrotactile Feedback
Abstract: Transporting large and heavy objects can benefit from Human-Robot Collaboration (HRC), increasing the contribution of robots to our daily tasks and reducing the risk of injuries to the human operator. This a... | [] | Test |
24,573 | 26 | Title: Proactive Rumor Control: When Impression Counts (Full Version)
Abstract: The spread of rumors in online networks threatens public safety and results in economic losses. To overcome this problem, a lot of work studies the problem of rumor control which aims at limiting the spread of rumors. However, all previous ... | [] | Train |
24,574 | 31 | Title: Learning To Rank Resources with GNN
Abstract: As the content on the Internet continues to grow, many new dynamically changing and heterogeneous sources of data constantly emerge. A conventional search engine cannot crawl and index at the same pace as the expansion of the Internet. Moreover, a large portion of th... | [] | Train |
24,575 | 8 | Title: Real-Time Scheduling for Time-Sensitive Networking: A Systematic Review and Experimental Study
Abstract: Time-Sensitive Networking (TSN) has been recognized as one of the key enabling technologies for Industry 4.0 and has been deployed in many time- and mission-critical industrial applications, e.g., automotive ... | [
34375
] | Train |
24,576 | 30 | Title: Data-to-text Generation for Severely Under-Resourced Languages with GPT-3.5: A Bit of Help Needed from Google Translate
Abstract: LLMs like GPT are great at tasks involving English which dominates in their training data. In this paper, we look at how they cope with tasks involving languages that are severely und... | [] | Test |
24,577 | 30 | Title: LeafAI: query generator for clinical cohort discovery rivaling a human programmer
Abstract: OBJECTIVE
Identifying study-eligible patients within clinical databases is a critical step in clinical research. However, accurate query design typically requires extensive technical and biomedical expertise. We sought to... | [] | Train |
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