node_id int64 0 76.9k | label int64 0 39 | text stringlengths 13 124k | neighbors listlengths 0 3.32k | mask stringclasses 4
values |
|---|---|---|---|---|
29,178 | 34 | Title: Sparsification of Monotone k-Submodular Functions of Low Curvature
Abstract: Pioneered by Benczur and Karger for cuts in graphs [STOC'96], sparsification is a fundamental topic with wide-ranging applications that has been studied, e.g., for graphs and hypergraphs, in a combinatorial and a spectral setting, and w... | [] | Test |
29,179 | 24 | Title: The Concept of Forward-Forward Learning Applied to a Multi Output Perceptron
Abstract: The concept of a recently proposed Forward-Forward learning algorithm for fully connected artificial neural networks is applied to a single multi output perceptron for classification. The parameters of the system are trained w... | [] | Train |
29,180 | 16 | Title: DUBLIN - Document Understanding By Language-Image Network
Abstract: Visual document understanding is a complex task that involves analyzing both the text and the visual elements in document images. Existing models often rely on manual feature engineering or domain-specific pipelines, which limit their generaliza... | [
33464,
10978
] | Train |
29,181 | 16 | Title: Image Reconstruction using Superpixel Clustering and Tensor Completion
Abstract: This paper presents a pixel selection method for compact image representation based on superpixel segmentation and tensor completion. Our method divides the image into several regions that capture important textures or semantics and... | [
40928
] | Validation |
29,182 | 24 | Title: On Gradient-like Explanation under a Black-box Setting: When Black-box Explanations Become as Good as White-box
Abstract: Attribution methods shed light on the explainability of data-driven approaches such as deep learning models by revealing the most contributing features to decisions that have been made. A wid... | [] | Validation |
29,183 | 31 | Title: Modeling Spoken Information Queries for Virtual Assistants: Open Problems, Challenges and Opportunities
Abstract: Virtual assistants are becoming increasingly important speech-driven Information Retrieval platforms that assist users with various tasks. We discuss open problems and challenges with respect to mode... | [
33220
] | Train |
29,184 | 24 | Title: Mind the Uncertainty: Risk-Aware and Actively Exploring Model-Based Reinforcement Learning
Abstract: We introduce a simple but effective method for managing risk in model-based reinforcement learning with trajectory sampling that involves probabilistic safety constraints and balancing of optimism in the face of ... | [] | Train |
29,185 | 25 | Title: Self-Supervised Disentanglement of Harmonic and Rhythmic Features in Music Audio Signals
Abstract: The aim of latent variable disentanglement is to infer the multiple informative latent representations that lie behind a data generation process and is a key factor in controllable data generation. In this paper, w... | [] | Test |
29,186 | 25 | Title: GETMusic: Generating Any Music Tracks with a Unified Representation and Diffusion Framework
Abstract: Symbolic music generation aims to create musical notes, which can help users compose music, such as generating target instrumental tracks from scratch, or based on user-provided source tracks. Considering the di... | [] | Train |
29,187 | 28 | Title: CDDM: Channel Denoising Diffusion Models for Wireless Semantic Communications
Abstract: Diffusion models (DM) can gradually learn to remove noise, which have been widely used in artificial intelligence generated content (AIGC) in recent years. The property of DM for eliminating noise leads us to wonder whether D... | [
4039,
32154,
46141,
7550,
40671
] | Test |
29,188 | 16 | Title: Rethinking the Multi-view Stereo from the Perspective of Rendering-based Augmentation
Abstract: GigaMVS presents several challenges to existing Multi-View Stereo (MVS) algorithms for its large scale, complex occlusions, and gigapixel images. To address these problems, we first apply one of the state-of-the-art l... | [] | Train |
29,189 | 10 | Title: Intend-Wait-Perceive-Cross: Exploring the Effects of Perceptual Limitations on Pedestrian Decision-Making
Abstract: Current research on pedestrian behavior understanding focuses on the dynamics of pedestrians and often implicitly assumes that their perceptual abilities are omnidirectional. In practice, human vis... | [] | Train |
29,190 | 31 | Title: PEGA: Personality-Guided Preference Aggregator for Ephemeral Group Recommendation
Abstract: Recently, making recommendations for ephemeral groups which contain dynamic users and few historic interactions have received an increasing number of attention. The main challenge of ephemeral group recommender is how to ... | [] | Train |
29,191 | 24 | Title: Robustifying DARTS by Eliminating Information Bypass Leakage via Explicit Sparse Regularization
Abstract: Differentiable architecture search (DARTS) is a promising end to end NAS method which directly optimizes the architecture parameters through general gradient descent. However, DARTS is brittle to the catastr... | [
11980,
5950
] | Validation |
29,192 | 30 | Title: The Nordic Pile: A 1.2TB Nordic Dataset for Language Modeling
Abstract: Pre-training Large Language Models (LLMs) require massive amounts of text data, and the performance of the LLMs typically correlates with the scale and quality of the datasets. This means that it may be challenging to build LLMs for smaller ... | [
14001
] | Train |
29,193 | 16 | Title: NN-Copula-CD: A Copula-Guided Interpretable Neural Network for Change Detection in Heterogeneous Remote Sensing Images
Abstract: Change detection (CD) in heterogeneous remote sensing images is a practical and challenging issue for real-life emergencies. In the past decade, the heterogeneous CD problem has signif... | [] | Train |
29,194 | 28 | Title: Q-learning for distributed routing in LEO satellite constellations
Abstract: End-to-end routing in Low Earth Orbit (LEO) satellite constellations (LSatCs) is a complex and dynamic problem. The topology, of finite size, is dynamic and predictable, the traffic from/to Earth and transiting the space segment is high... | [] | Train |
29,195 | 16 | Title: Gene-induced Multimodal Pre-training for Image-omic Classification
Abstract: Histology analysis of the tumor micro-environment integrated with genomic assays is the gold standard for most cancers in modern medicine. This paper proposes a Gene-induced Multimodal Pre-training (GiMP) framework, which jointly incorp... | [] | Train |
29,196 | 10 | Title: AI-based Predictive Analytic Approaches for safeguarding the Future of Electric/Hybrid Vehicles
Abstract: In response to the global need for sustainable energy, green technology may help fight climate change. Before green infrastructure to be easily integrated into the world's energy system, it needs upgrading. ... | [] | Train |
29,197 | 8 | Title: Software defined networking flow admission and routing under minimal security constraints
Abstract: In recent years, computer networks and telecommunications in general have been shifting paradigms to adopt software-centric approaches. Software Defined Networking (SDN) is one of such paradigms that centralizes c... | [] | Validation |
29,198 | 24 | Title: LuckyMera: a Modular AI Framework for Building Hybrid NetHack Agents
Abstract: In the last few decades we have witnessed a significant development in Artificial Intelligence (AI) thanks to the availability of a variety of testbeds, mostly based on simulated environments and video games. Among those, roguelike ga... | [] | Train |
29,199 | 24 | Title: Cheap and Deterministic Inference for Deep State-Space Models of Interacting Dynamical Systems
Abstract: Graph neural networks are often used to model interacting dynamical systems since they gracefully scale to systems with a varying and high number of agents. While there has been much progress made for determi... | [
4511
] | Test |
29,200 | 16 | Title: Unlearnable Examples for Diffusion Models: Protect Data from Unauthorized Exploitation
Abstract: Diffusion models have demonstrated remarkable performance in image generation tasks, paving the way for powerful AIGC applications. However, these widely-used generative models can also raise security and privacy con... | [
37537,
33986,
44741,
22886,
4649,
14353,
27059,
8308,
45851,
41084,
38398
] | Train |
29,201 | 27 | Title: Large-Scale Exploration of Cave Environments by Unmanned Aerial Vehicles
Abstract: This letter presents a self-contained system for the robust utilization of aerial robots in the autonomous exploration of cave environments to help human explorers, first responders, and speleologists. The proposed system is gener... | [
27877,
4682,
34378,
45306,
36890,
2431
] | Train |
29,202 | 24 | Title: Reaching the Edge of the Edge: Image Analysis in Space
Abstract: Satellites have become more widely available due to the reduction in size and cost of their components. As a result, there has been an advent of smaller organizations having the ability to deploy satellites with a variety of data-intensive applicat... | [] | Train |
29,203 | 15 | Title: Towards a RISC-V Open Platform for Next-generation Automotive ECUs
Abstract: The complexity of automotive systems is increasing quickly due to the integration of novel functionalities such as assisted or autonomous driving. However, increasing complexity poses considerable challenges to the automotive supply cha... | [] | Train |
29,204 | 24 | Title: Tackling the Non-IID Issue in Heterogeneous Federated Learning by Gradient Harmonization
Abstract: Federated learning (FL) is a privacy-preserving paradigm for collaboratively training a global model from decentralized clients. However, the performance of FL is hindered by non-independent and identically distrib... | [] | Train |
29,205 | 31 | Title: Query Expansion by Prompting Large Language Models
Abstract: Query expansion is a widely used technique to improve the recall of search systems. In this paper, we propose an approach to query expansion that leverages the generative abilities of Large Language Models (LLMs). Unlike traditional query expansion app... | [
31905,
67,
25542,
23629,
397
] | Train |
29,206 | 30 | Title: PLACES: Prompting Language Models for Social Conversation Synthesis
Abstract: Collecting high quality conversational data can be very expensive for most applications and infeasible for others due to privacy, ethical, or similar concerns. A promising direction to tackle this problem is to generate synthetic dialo... | [
19778,
2597,
35465,
27915,
15917,
11476,
28692,
9272,
33340,
32669,
4670
] | Train |
29,207 | 15 | Title: CINM (Cinnamon): A Compilation Infrastructure for Heterogeneous Compute In-Memory and Compute Near-Memory Paradigms
Abstract: The rise of data-intensive applications exposed the limitations of conventional processor-centric von-Neumann architectures that struggle to meet the off-chip memory bandwidth demand. The... | [
40104
] | Train |
29,208 | 16 | Title: Fast Trajectory End-Point Prediction with Event Cameras for Reactive Robot Control
Abstract: Prediction can be crucial for tasks with tight time constraints if a robot has limited speed and power. A low-latency, high-frequency perception system can reduce the time needed to converge on the expectation of the fut... | [] | Test |
29,209 | 13 | Title: Metaheuristic Algorithms in Artificial Intelligence with Applications to Bioinformatics, Biostatistics, Ecology and, the Manufacturing Industries
Abstract: Nature-inspired metaheuristic algorithms are important components of artificial intelligence, and are increasingly used across disciplines to tackle various ... | [] | Validation |
29,210 | 24 | Title: Embedding stochastic differential equations into neural networks via dual processes
Abstract: We propose a new approach to constructing a neural network for predicting expectations of stochastic differential equations. The proposed method does not need data sets of inputs and outputs; instead, the information ob... | [] | Train |
29,211 | 25 | Title: UnifySpeech: A Unified Framework for Zero-shot Text-to-Speech and Voice Conversion
Abstract: Text-to-speech (TTS) and voice conversion (VC) are two different tasks both aiming at generating high quality speaking voice according to different input modality. Due to their similarity, this paper proposes UnifySpeech... | [
9639
] | Train |
29,212 | 16 | Title: Dynamic Snake Convolution based on Topological Geometric Constraints for Tubular Structure Segmentation
Abstract: Accurate segmentation of topological tubular structures, such as blood vessels and roads, is crucial in various fields, ensuring accuracy and efficiency in downstream tasks. However, many factors com... | [] | Test |
29,213 | 16 | Title: DeepSim-Nets: Deep Similarity Networks for Stereo Image Matching
Abstract: We present three multi-scale similarity learning architectures, or DeepSim networks. These models learn pixel-level matching with a contrastive loss and are agnostic to the geometry of the considered scene. We establish a middle ground be... | [] | Validation |
29,214 | 4 | Title: Extracting Cloud-based Model with Prior Knowledge
Abstract: Machine Learning-as-a-Service, a pay-as-you-go business pattern, is widely accepted by third-party users and developers. However, the open inference APIs may be utilized by malicious customers to conduct model extraction attacks, i.e., attackers can rep... | [] | Test |
29,215 | 23 | Title: CoderEval: A Benchmark of Pragmatic Code Generation with Generative Pre-trained Models
Abstract: Code generation models based on the pre-training and fine-tuning paradigm have been increasingly attempted by both academia and industry, resulting in well-known industrial models such as Codex, CodeGen, and PanGu-Co... | [
34208,
31145,
38348,
24718,
32014,
25522,
26647,
16917,
16855,
17118
] | Train |
29,216 | 27 | Title: Probabilistic multi-modal depth estimation based on camera–LiDAR sensor fusion
Abstract: nan | [] | Train |
29,217 | 25 | Title: On the relevance of acoustic measurements for creating realistic virtual acoustic environments
Abstract: Geometrical approaches for room acoustics simulation have the advantage of requiring limited computational resources while still achieving a high perceptual plausibility. A common approach is using the image ... | [] | Test |
29,218 | 16 | Title: Enhancing Neural Rendering Methods with Image Augmentations
Abstract: Faithfully reconstructing 3D geometry and generating novel views of scenes are critical tasks in 3D computer vision. Despite the widespread use of image augmentations across computer vision applications, their potential remains underexplored w... | [
44288,
2593,
8004
] | Train |
29,219 | 16 | Title: SurgicalGPT: End-to-End Language-Vision GPT for Visual Question Answering in Surgery
Abstract: Advances in GPT-based large language models (LLMs) are revolutionizing natural language processing, exponentially increasing its use across various domains. Incorporating uni-directional attention, these autoregressive... | [
24756
] | Train |
29,220 | 10 | Title: Explaining with Greater Support: Weighted Column Sampling Optimization for q-Consistent Summary-Explanations
Abstract: Machine learning systems have been extensively used as auxiliary tools in domains that require critical decision-making, such as healthcare and criminal justice. The explainability of decisions ... | [] | Train |
29,221 | 11 | Title: Fast Teammate Adaptation in the Presence of Sudden Policy Change
Abstract: In cooperative multi-agent reinforcement learning (MARL), where an agent coordinates with teammate(s) for a shared goal, it may sustain non-stationary caused by the policy change of teammates. Prior works mainly concentrate on the policy ... | [
22152,
4962,
27744,
39616
] | Validation |
29,222 | 27 | Title: Design of a Variable Stiffness Spring with Human-Selectable Stiffness
Abstract: Springs are commonly used in wearable robotic devices to provide assistive joint torque without the need for motors and batteries. However, different tasks (such as walking or running) and different users (such as athletes with stron... | [] | Train |
29,223 | 30 | Title: LLM Comparative Assessment: Zero-shot NLG Evaluation through Pairwise Comparisons using Large Language Models
Abstract: Current developments in large language models (LLMs) have enabled impressive zero-shot capabilities across various natural language tasks. An interesting application of these systems is in the ... | [
38208,
18882,
17061,
23629,
37360,
35545,
43641,
9403
] | Train |
29,224 | 16 | Title: Pre-training on Synthetic Driving Data for Trajectory Prediction
Abstract: Accumulating substantial volumes of real-world driving data proves pivotal in the realm of trajectory forecasting for autonomous driving. Given the heavy reliance of current trajectory forecasting models on data-driven methodologies, we a... | [
21056,
32672,
21093,
42794,
16843
] | Train |
29,225 | 11 | Title: Crowd simulation incorporating a route choice model and similarity evaluation using real large-scale data
Abstract: Modeling and simulation approaches that express crowd movement with mathematical models are widely and actively studied to understand crowd movement and resolve crowd accidents. Existing literature... | [] | Validation |
29,226 | 16 | Title: Unsupervised Visible-Infrared Person ReID by Collaborative Learning with Neighbor-Guided Label Refinement
Abstract: Unsupervised learning visible-infrared person re-identification (USL-VI-ReID) aims at learning modality-invariant features from unlabeled cross-modality dataset, which is crucial for practical appl... | [] | Train |
29,227 | 25 | Title: Autonomous Soundscape Augmentation with Multimodal Fusion of Visual and Participant-linked Inputs
Abstract: Autonomous soundscape augmentation systems typically use trained models to pick optimal maskers to effect a desired perceptual change. While acoustic information is paramount to such systems, contextual in... | [] | Train |
29,228 | 10 | Title: Where Did the President Visit Last Week? Detecting Celebrity Trips from News Articles
Abstract: Celebrities' whereabouts are of pervasive importance. For instance, where politicians go, how often they visit, and who they meet, come with profound geopolitical and economic implications. Although news articles cont... | [] | Train |
29,229 | 24 | Title: Chronic pain detection from resting-state raw EEG signals using improved feature selection
Abstract: We present an automatic approach that works on resting-state raw EEG data for chronic pain detection. A new feature selection algorithm - modified Sequential Floating Forward Selection (mSFFS) - is proposed. The ... | [] | Test |
29,230 | 30 | Title: Attribute Controlled Dialogue Prompting
Abstract: Prompt-tuning has become an increasingly popular parameter-efficient method for adapting large pretrained language models to downstream tasks. However, both discrete prompting and continuous prompting assume fixed prompts for all data samples within a task, negle... | [] | Test |
29,231 | 16 | Title: Few-shots Portrait Generation with Style Enhancement and Identity Preservation
Abstract: Nowadays, the wide application of virtual digital human promotes the comprehensive prosperity and development of digital culture supported by digital economy. The personalized portrait automatically generated by AI technolog... | [] | Train |
29,232 | 4 | Title: Unraveling the MEV Enigma: ABI-Free Detection Model using Graph Neural Networks
Abstract: The detection of Maximal Extractable Value (MEV) in blockchain is crucial for enhancing blockchain security, as it enables the evaluation of potential consensus layer risks, the effectiveness of anti-centralization solution... | [] | Test |
29,233 | 30 | Title: Evaluating Bert and Parsbert for Analyzing Persian Advertisement Data
Abstract: This paper discusses the impact of the Internet on modern trading and the importance of data generated from these transactions for organizations to improve their marketing efforts. The paper uses the example of Divar, an online marke... | [] | Test |
29,234 | 15 | Title: K-D Bonsai: ISA-Extensions to Compress K-D Trees for Autonomous Driving Tasks
Abstract: Autonomous Driving (AD) systems extensively manipulate 3D point clouds for object detection and vehicle localization. Thereby, efficient processing of 3D point clouds is crucial in these systems. In this work we propose K-D B... | [] | Train |
29,235 | 8 | Title: Routing Recovery for UAV Networks with Deliberate Attacks: A Reinforcement Learning based Approach
Abstract: The unmanned aerial vehicle (UAV) network is popular these years due to its various applications. In the UAV network, routing is significantly affected by the distributed network topology, leading to the ... | [] | Train |
29,236 | 24 | Title: New metrics for analyzing continual learners
Abstract: Deep neural networks have shown remarkable performance when trained on independent and identically distributed data from a fixed set of classes. However, in real-world scenarios, it can be desirable to train models on a continuous stream of data where multip... | [
17632,
11837
] | Train |
29,237 | 16 | Title: GIVL: Improving Geographical Inclusivity of Vision-Language Models with Pre-Training Methods
Abstract: A key goal for the advancement of AI is to develop technologies that serve the needs not just of one group but of all communities regardless of their geographical re-gion. In fact, a significant proportion of k... | [] | Validation |
29,238 | 28 | Title: Tracking the Best Beam for a Mobile User via Bayesian Optimization
Abstract: The standard beam management procedure in 5G requires the user equipment (UE) to periodically measure the received signal reference power (RSRP) on each of a set of beams proposed by the basestation (BS). It is prohibitively expensive t... | [] | Train |
29,239 | 10 | Title: TiZero: Mastering Multi-Agent Football with Curriculum Learning and Self-Play
Abstract: Multi-agent football poses an unsolved challenge in AI research. Existing work has focused on tackling simplified scenarios of the game, or else leveraging expert demonstrations. In this paper, we develop a multi-agent system... | [
34380
] | Train |
29,240 | 16 | Title: Pseudo-label Correction and Learning For Semi-Supervised Object Detection
Abstract: Pseudo-Labeling has emerged as a simple yet effective technique for semi-supervised object detection (SSOD). However, the inevitable noise problem in pseudo-labels significantly degrades the performance of SSOD methods. Recent ad... | [] | Train |
29,241 | 16 | Title: Synergy of Machine and Deep Learning Models for Multi-Painter Recognition
Abstract: The growing availability of digitized art collections has created the need to manage, analyze and categorize large amounts of data related to abstract concepts, highlighting a demanding problem of computer science and leading to ... | [] | Train |
29,242 | 30 | Title: The Vault: A Comprehensive Multilingual Dataset for Advancing Code Understanding and Generation
Abstract: We present The Vault, an open-source, large-scale code-text dataset designed to enhance the training of code-focused large language models (LLMs). Existing open-source datasets for training code-based LLMs o... | [
11190
] | Train |
29,243 | 16 | Title: Learning Task-preferred Inference Routes for Gradient De-conflict in Multi-output DNNs
Abstract: Multi-output deep neural networks(MONs) contain multiple task branches, and these tasks usually share partial network filters that lead to the entanglement of different task inference routes. Due to the inconsistent ... | [] | Train |
29,244 | 24 | Title: Guaranteed Stable Quadratic Models and their applications in SINDy and Operator Inference
Abstract: Scientific machine learning for learning dynamical systems is a powerful tool that combines data-driven modeling models, physics-based modeling, and empirical knowledge. It plays an essential role in an engineerin... | [] | Train |
29,245 | 16 | Title: Anti-DreamBooth: Protecting users from personalized text-to-image synthesis
Abstract: Text-to-image diffusion models are nothing but a revolution, allowing anyone, even without design skills, to create realistic images from simple text inputs. With powerful personalization tools like DreamBooth, they can generat... | [
35940,
4649,
19249,
20435,
28532,
4345,
34074
] | Train |
29,246 | 30 | Title: BNS-Net: A Dual-channel Sarcasm Detection Method Considering Behavior-level and Sentence-level Conflicts
Abstract: Sarcasm detection is a binary classification task that aims to determine whether a given utterance is sarcastic. Over the past decade, sarcasm detection has evolved from classical pattern recognitio... | [] | Train |
29,247 | 16 | Title: Cos R-CNN for Online Few-shot Object Detection
Abstract: We propose Cos R-CNN, a simple exemplar-based R-CNN formulation that is designed for online few-shot object detection. That is, it is able to localise and classify novel object categories in images with few examples without fine-tuning. Cos R-CNN frames de... | [] | Train |
29,248 | 24 | Title: Artificial intelligence and radiation protection. A game changer or an update?
Abstract: Artificial intelligence (AI) is regarded as one of the most disruptive technology of the century and with countless applications. What does it mean for radiation protection? This article describes the fundamentals of machine... | [] | Train |
29,249 | 30 | Title: Unlocking Practical Applications in Legal Domain: Evaluation of GPT for Zero-Shot Semantic Annotation of Legal Texts
Abstract: We evaluated the capability of a state-of-the-art generative pretrained transformer (GPT) model to perform semantic annotation of short text snippets (one to few sentences) coming from l... | [
4674,
37931,
6829,
16430,
9614,
20757,
6810
] | Test |
29,250 | 24 | Title: A Multimodal Learning Framework for Comprehensive 3D Mineral Prospectivity Modeling with Jointly Learned Structure-Fluid Relationships
Abstract: This study presents a novel multimodal fusion model for three-dimensional mineral prospectivity mapping (3D MPM), effectively integrating structural and fluid informati... | [] | Train |
29,251 | 16 | Title: C-SFDA: A Curriculum Learning Aided Self-Training Framework for Efficient Source Free Domain Adaptation
Abstract: Unsupervised domain adaptation (UDA) approaches focus on adapting models trained on a labeled source domain to an unlabeled target domain. In contrast to UDA, source-free domain adaptation (SFDA) is ... | [
43608,
35162,
37795
] | Test |
29,252 | 16 | Title: Improving Weakly Supervised Temporal Action Localization by Bridging Train-Test Gap in Pseudo Labels
Abstract: The task of weakly supervised temporal action localization targets at generating temporal boundaries for actions of interest, meanwhile the action category should also be classified. Pseudo-label-based ... | [] | Train |
29,253 | 9 | Title: Partial k-means to avoid outliers, mathematical programming formulations, complexity results
Abstract: nan | [] | Validation |
29,254 | 4 | Title: ethp2psim: Evaluating and deploying privacy-enhanced peer-to-peer routing protocols for the Ethereum network
Abstract: Network-level privacy is the Achilles heel of financial privacy in cryptocurrencies. Financial privacy amounts to achieving and maintaining blockchain- and network-level privacy. Blockchain-leve... | [] | Train |
29,255 | 24 | Title: Learning From Drift: Federated Learning on Non-IID Data via Drift Regularization
Abstract: Federated learning algorithms perform reasonably well on independent and identically distributed (IID) data. They, on the other hand, suffer greatly from heterogeneous environments, i.e., Non-IID data. Despite the fact tha... | [] | Validation |
29,256 | 4 | Title: RingAuth: Wearable Authentication using a Smart Ring
Abstract: In this paper, we show that by using inertial sensor data generated by a smart ring, worn on the finger, the user can be authenticated when making mobile payments or when knocking on a door (for access control). The proposed system can be deployed pu... | [] | Test |
29,257 | 24 | Title: Probing optimisation in physics-informed neural networks
Abstract: A novel comparison is presented of the effect of optimiser choice on the accuracy of physics-informed neural networks (PINNs). To give insight into why some optimisers are better, a new approach is proposed that tracks the training trajectory cur... | [] | Validation |
29,258 | 30 | Title: Open-Source Large Language Models Outperform Crowd Workers and Approach ChatGPT in Text-Annotation Tasks
Abstract: This study examines the performance of open-source Large Language Models (LLMs) in text annotation tasks and compares it with proprietary models like ChatGPT and human-based services such as MTurk. ... | [
21794,
36751,
37209,
39642,
28575
] | Train |
29,259 | 16 | Title: Gated Stereo: Joint Depth Estimation from Gated and Wide-Baseline Active Stereo Cues
Abstract: We propose Gated Stereo, a high-resolution and long-range depth estimation technique that operates on active gated stereo images. Using active and high dynamic range passive captures, Gated Stereo exploits multi-view c... | [] | Test |
29,260 | 6 | Title: A new conversational interaction concept for document creation and editing on mobile devices for visually impaired users
Abstract: This paper describes the ongoing development of a conversational interaction concept that allows visually impaired users to easily create and edit text documents on mobile devices us... | [] | Test |
29,261 | 39 | Title: Directional movement of a collective of compassless automata on square lattice of width 2
Abstract: We study the following problem: Can a collective of finite automata maintain directed movement on a two-dimensional integer lattice of width 2, where the elements (vertices) are anonymous? The automata do not dist... | [] | Train |
29,262 | 27 | Title: SubT-MRS: A Subterranean, Multi-Robot, Multi-Spectral and Multi-Degraded Dataset for Robust SLAM
Abstract: In recent years, significant progress has been made in the field of simultaneous localization and mapping (SLAM) research. However, current state-of-the-art solutions still struggle with limited accuracy an... | [
15269
] | Test |
29,263 | 4 | Title: Towards A Sustainable and Ethical Supply Chain Management: The Potential of IoT Solutions
Abstract: Globalization has introduced many new challenges making Supply chain management (SCM) complex and huge, for which improvement is needed in many industries. The Internet of Things (IoT) has solved many problems by ... | [
33149
] | Train |
29,264 | 30 | Title: Studying the impacts of pre-training using ChatGPT-generated text on downstream tasks
Abstract: In recent times, significant advancements have been witnessed in the field of language models, particularly with the emergence of Large Language Models (LLMs) that are trained on vast amounts of data extracted from in... | [
28568,
22476
] | Train |
29,265 | 24 | Title: Don't freeze: Finetune encoders for better Self-Supervised HAR
Abstract: Recently self-supervised learning has been proposed in the field of human activity recognition as a solution to the labelled data availability problem. The idea being that by using pretext tasks such as reconstruction or contrastive predict... | [] | Train |
29,266 | 16 | Title: Re-IQA: Unsupervised Learning for Image Quality Assessment in the Wild
Abstract: Automatic Perceptual Image Quality Assessment is a challenging problem that impacts billions of internet, and social media users daily. To advance research in this field, we propose a Mixture of Experts approach to train two separat... | [
35844
] | Validation |
29,267 | 10 | Title: Robust Scheduling with GFlowNets
Abstract: Finding the best way to schedule operations in a computation graph is a classical NP-hard problem which is central to compiler optimization. However, evaluating the goodness of a schedule on the target hardware can be very time-consuming. Traditional approaches as well ... | [
17762,
40424,
35628,
15438,
24784,
9778,
15989,
32279
] | Test |
29,268 | 16 | Title: Tailor: Altering Skip Connections for Resource-Efficient Inference
Abstract: Deep neural networks use skip connections to improve training convergence. However, these skip connections are costly in hardware, requiring extra buffers and increasing on- and off-chip memory utilization and bandwidth requirements. In... | [] | Train |
29,269 | 34 | Title: Online Maximum Independent Set of Hyperrectangles
Abstract: The maximum independent set problem is a classical NP-hard problem in theoretical computer science. In this work, we study a special case where the family of graphs considered is restricted to intersection graphs of sets of axis-aligned hyperrectangles ... | [] | Train |
29,270 | 16 | Title: Can SAM Segment Polyps?
Abstract: Recently, Meta AI Research releases a general Segment Anything Model (SAM), which has demonstrated promising performance in several segmentation tasks. As we know, polyp segmentation is a fundamental task in the medical imaging field, which plays a critical role in the diagnosis... | [
10778,
1151,
12704,
11551,
43692,
41008,
13876,
44854,
35641,
35263,
33220,
29765,
33098,
27866,
23266,
25703,
4083,
25975,
40700,
5495
] | Test |
29,271 | 16 | Title: DDLP: Unsupervised Object-Centric Video Prediction with Deep Dynamic Latent Particles
Abstract: We propose a new object-centric video prediction algorithm based on the deep latent particle (DLP) representation. In comparison to existing slot- or patch-based representations, DLPs model the scene using a set of ke... | [
5463
] | Train |
29,272 | 16 | Title: Histopathology Image Classification using Deep Manifold Contrastive Learning
Abstract: Contrastive learning has gained popularity due to its robustness with good feature representation performance. However, cosine distance, the commonly used similarity metric in contrastive learning, is not well suited to repres... | [] | Test |
29,273 | 8 | Title: Deep Reinforcement Learning-Based Content Migration for Edge Content Delivery Networks With Vehicular Nodes
Abstract: With the explosive demands for data, content delivery networks are facing ever-increasing challenges to meet end-users’ quality-of-experience requirements, especially in terms of delay. Content c... | [] | Train |
29,274 | 24 | Title: Reject option models comprising out-of-distribution detection
Abstract: The optimal prediction strategy for out-of-distribution (OOD) setups is a fundamental question in machine learning. In this paper, we address this question and present several contributions. We propose three reject option models for OOD setu... | [] | Train |
29,275 | 37 | Title: Enhancement of database access performance by improving data consistency in a non-relational database system (NoSQL)
Abstract: This study aims to enhance data consistency in NoSQL databases, traditionally designed with BASE properties, as opposed to the strong consistency guaranteed by ACID principles in RDBMS. ... | [] | Train |
29,276 | 5 | Title: Distributed Accelerated Projection-Based Consensus Decomposition
Abstract: With the development of machine learning and Big Data, the concepts of linear and non-linear optimization techniques are becoming increasingly valuable for many quantitative disciplines. Problems of that nature are typically solved using ... | [] | Validation |
29,277 | 24 | Title: On the Richness of Calibration
Abstract: Probabilistic predictions can be evaluated through comparisons with observed label frequencies, that is, through the lens of calibration. Recent scholarship on algorithmic fairness has started to look at a growing variety of calibration-based objectives under the name of ... | [
42379
] | Validation |
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