node_id int64 0 76.9k | label int64 0 39 | text stringlengths 13 124k | neighbors listlengths 0 3.32k | mask stringclasses 4
values |
|---|---|---|---|---|
18,678 | 33 | Title: Checking Presence Reachability Properties on Parameterized Shared-Memory Systems
Abstract: We consider the verification of distributed systems composed of an arbitrary number of asynchronous processes. Processes are identical finite-state machines that communicate by reading from and writing to a shared memory. ... | [] | Train |
18,679 | 24 | Title: Smooth Non-Stationary Bandits
Abstract: In many applications of online decision making, the environment is non-stationary and it is therefore crucial to use bandit algorithms that handle changes. Most existing approaches are designed to protect against non-smooth changes, constrained only by total variation or L... | [
33154,
31030
] | Validation |
18,680 | 16 | Title: LAformer: Trajectory Prediction for Autonomous Driving with Lane-Aware Scene Constraints
Abstract: Trajectory prediction for autonomous driving must continuously reason the motion stochasticity of road agents and comply with scene constraints. Existing methods typically rely on one-stage trajectory prediction mo... | [
18289,
19638,
42744,
796,
41469
] | Train |
18,681 | 16 | Title: One-shot and Partially-Supervised Cell Image Segmentation Using Small Visual Prompt
Abstract: Semantic segmentation of microscopic cell images using deep learning is an important technique, however, it requires a large number of images and ground truth labels for training. To address the above problem, we consid... | [] | Test |
18,682 | 24 | Title: Towards the Flatter Landscape and Better Generalization in Federated Learning under Client-level Differential Privacy
Abstract: To defend the inference attacks and mitigate the sensitive information leakages in Federated Learning (FL), client-level Differentially Private FL (DPFL) is the de-facto standard for pr... | [
6241,
16201,
2194,
33374,
4095
] | Train |
18,683 | 30 | Title: Pushing the Limits of ChatGPT on NLP Tasks
Abstract: Despite the success of ChatGPT, its performances on most NLP tasks are still well below the supervised baselines. In this work, we looked into the causes, and discovered that its subpar performance was caused by the following factors: (1) token limit in the pr... | [
12128,
13345,
13700,
33220,
25892,
35556,
29419,
37516,
38958,
25071,
30320,
22289,
9586,
9907,
36179,
26552,
42393
] | Test |
18,684 | 5 | Title: Evaluating the Performance of Speculative DOACROSS Loop Parallelization with taskloop
Abstract: OpenMP provides programmers with directives to parallelize DOALL loops such as parallel for and, more recently, taskloop for task-based parallelism. On the other hand, when it is possible to prove that a loop is DOACR... | [] | Train |
18,685 | 4 | Title: Maximizing Penetration Testing Success with Effective Reconnaissance Techniques using ChatGPT
Abstract: ChatGPT is a generative pretrained transformer language model created using artificial intelligence implemented as chatbot which can provide very detailed responses to a wide variety of questions. As a very co... | [
21049
] | Train |
18,686 | 30 | Title: Self-Verification Improves Few-Shot Clinical Information Extraction
Abstract: Extracting patient information from unstructured text is a critical task in health decision-support and clinical research. Large language models (LLMs) have shown the potential to accelerate clinical curation via few-shot in-context le... | [
45018,
1923,
37411,
14920,
22252,
9518,
4111,
29757,
23382,
634,
6075,
17789
] | Train |
18,687 | 16 | Title: Full Resolution Repetition Counting
Abstract: Given an untrimmed video, repetitive actions counting aims to estimate the number of repetitions of class-agnostic actions. To handle the various length of videos and repetitive actions, also optimization challenges in end-to-end video model training, down-sampling i... | [] | Train |
18,688 | 30 | Title: CLASS Meet SPOCK: An Education Tutoring Chatbot based on Learning Science Principles
Abstract: We present a design framework called Conversational Learning with Analytical Step-by-Step Strategies (CLASS) for developing high-performance Intelligent Tutoring Systems (ITS). The CLASS framework aims to empower ITS w... | [
13700,
13510
] | Train |
18,689 | 16 | Title: Voxel2Hemodynamics: An End-to-end Deep Learning Method for Predicting Coronary Artery Hemodynamics
Abstract: Local hemodynamic forces play an important role in determining the functional significance of coronary arterial stenosis and understanding the mechanism of coronary disease progression. Computational flui... | [] | Train |
18,690 | 24 | Title: Collective Relational Inference for learning physics-consistent heterogeneous particle interactions
Abstract: Interacting particle systems are ubiquitous in nature and engineering. Revealing particle interaction laws is of fundamental importance but also particularly challenging due to underlying configurational... | [] | Train |
18,691 | 16 | Title: Boost Video Frame Interpolation via Motion Adaptation
Abstract: Video frame interpolation (VFI) is a challenging task that aims to generate intermediate frames between two consecutive frames in a video. Existing learning-based VFI methods have achieved great success, but they still suffer from limited generaliza... | [] | Train |
18,692 | 30 | Title: Findings of Factify 2: Multimodal Fake News Detection
Abstract: With social media usage growing exponentially in the past few years, fake news has also become extremely prevalent. The detrimental impact of fake news emphasizes the need for research focused on automating the detection of false information and ver... | [
19864,
24048,
39771
] | Train |
18,693 | 27 | Title: Multimodal Reinforcement Learning for Robots Collaborating with Humans
Abstract: Robot assistants for older adults and people with disabilities need to interact with their users in collaborative tasks. The core component of these systems is an interaction manager whose job is to observe and assess the task, and ... | [
3507
] | Train |
18,694 | 16 | Title: Learning Grounded Vision-Language Representation for Versatile Understanding in Untrimmed Videos
Abstract: Joint video-language learning has received increasing attention in recent years. However, existing works mainly focus on single or multiple trimmed video clips (events), which makes human-annotated event bo... | [] | Train |
18,695 | 6 | Title: SiFall: Practical Online Fall Detection with RF Sensing
Abstract: Falls are one of the leading causes of death in the elderly people aged 65 and above. In order to prevent death by sending prompt fall detection alarms, non-invasive radio-frequency (RF) based fall detection has attracted significant attention, du... | [] | Train |
18,696 | 16 | Title: BB-GCN: A Bi-modal Bridged Graph Convolutional Network for Multi-label Chest X-Ray Recognition
Abstract: Multi-label chest X-ray (CXR) recognition involves simultaneously diagnosing and identifying multiple labels for different pathologies. Since pathological labels have rich information about their relationship... | [] | Train |
18,697 | 16 | Title: Applying a Color Palette with Local Control using Diffusion Models
Abstract: We demonstrate two novel editing procedures in the context of fantasy art. Palette transfer applies a specified reference palette to a given image. For fantasy art, the desired change in palette can be very large, leading to huge change... | [
34074,
20435,
31318,
3097,
18586,
7390
] | Test |
18,698 | 24 | Title: Sparse Binary Transformers for Multivariate Time Series Modeling
Abstract: Compressed Neural Networks have the potential to enable deep learning across new applications and smaller computational environments. However, understanding the range of learning tasks in which such models can succeed is not well studied.... | [
31283
] | Train |
18,699 | 16 | Title: RICo: Rotate-Inpaint-Complete for Generalizable Scene Reconstruction
Abstract: General scene reconstruction refers to the task of estimating the full 3D geometry and texture of a scene containing previously unseen objects. In many practical applications such as AR/VR, autonomous navigation, and robotics, only a ... | [
30566,
11959
] | Validation |
18,700 | 24 | Title: Versatile Audio-Visual Learning for Handling Single and Multi Modalities in Emotion Regression and Classification Tasks
Abstract: Most current audio-visual emotion recognition models lack the flexibility needed for deployment in practical applications. We envision a multimodal system that works even when only on... | [
33403,
1574
] | Test |
18,701 | 28 | Title: Partially Constrained GRAND of Linear Block Codes
Abstract: This paper is concerned with a search-number-reduced guessing random additive noise decoding (GRAND) algorithm for linear block codes, called partially constrained GRAND (PC-GRAND). In contrast to the original GRAND, which guesses error patterns without... | [] | Test |
18,702 | 26 | Title: Generation and Influence of Eccentric Ideas on Social Networks
Abstract: Studying extreme ideas in routine choices and discussions is of utmost importance to understand the increasing polarization in society. In this study, we focus on understanding the generation and influence of extreme ideas in routine conver... | [] | Train |
18,703 | 16 | Title: Divergences in color perception between deep neural networks and humans
Abstract: nan | [] | Train |
18,704 | 30 | Title: Take the Hint: Improving Arabic Diacritization with Partially-Diacritized Text
Abstract: Automatic Arabic diacritization is useful in many applications, ranging from reading support for language learners to accurate pronunciation predictor for downstream tasks like speech synthesis. While most of the previous wo... | [] | Validation |
18,705 | 3 | Title: Exploring User Perspectives on ChatGPT: Applications, Perceptions, and Implications for AI-Integrated Education
Abstract: Understanding user perspectives on Artificial Intelligence (AI) in education is essential for creating pedagogically effective and ethically responsible AI-integrated learning environments. I... | [
27232,
5707,
30565,
1623
] | Train |
18,706 | 10 | Title: Local Minima Drive Communications in Cooperative Interaction
Abstract: An important open question in human-robot interaction (HRI) is precisely when an agent should decide to communicate, particularly in a cooperative task. Perceptual Control Theory (PCT) tells us that agents are able to cooperate on a joint tas... | [] | Test |
18,707 | 16 | Title: Hallucination Improves the Performance of Unsupervised Visual Representation Learning
Abstract: Contrastive learning models based on Siamese structure have demonstrated remarkable performance in self-supervised learning. Such a success of contrastive learning relies on two conditions, a sufficient number of posi... | [
12994,
42747,
39167
] | Test |
18,708 | 16 | Title: CLIP-VG: Self-paced Curriculum Adapting of CLIP for Visual Grounding
Abstract: Visual Grounding (VG) is a crucial topic in the field of vision and language, which involves locating a specific region described by expressions within an image. To reduce the reliance on manually labeled data, unsupervised methods ha... | [] | Test |
18,709 | 30 | Title: What does the Failure to Reason with “Respectively” in Zero/Few-Shot Settings Tell Us about Language Models?
Abstract: Humans can effortlessly understand the coordinate structure of sentences such as “Niels Bohr and Kurt Cobain were born in Copenhagen and Seattle, *respectively*”. In the context of natural langu... | [
13700
] | Train |
18,710 | 30 | Title: Cabrita: closing the gap for foreign languages
Abstract: The strategy of training the model from scratch in a specific language or domain serves two essential purposes: i) enhancing performance in the particular linguistic or domain context, and ii) ensuring effective tokenization. The main limitation inherent t... | [
25892,
13700,
109,
11614
] | Validation |
18,711 | 31 | Title: DEKGCI: A double-sided recommendation model for integrating knowledge graph and user-item interaction graph
Abstract: Both knowledge graphs and user-item interaction graphs are frequently used in recommender systems due to their ability to provide rich information for modeling users and items. However, existing ... | [] | Train |
18,712 | 10 | Title: SelfzCoT: a Self-Prompt Zero-shot CoT from Semantic-level to Code-level for a Better Utilization of LLMs
Abstract: This paper show a work on better use of LLMs with SelfzCoT a self-prompt zero-shot CoT. Specifically, on the zero-shot arithmetic reasoning tasks, the accuracy of the proposed SelfzCoT is improved w... | [
16827,
13510
] | Train |
18,713 | 16 | Title: Learning from Noisy Labels Generated by Extremely Point Annotations for OCT Fluid Segmentation
Abstract: Automatic segmentation of fluid in OCT (Optical Coherence Tomography) images is beneficial for ophthalmologists to make an accurate diagnosis. Currently, data-driven convolutional neural networks (CNNs) have ... | [] | Validation |
18,714 | 16 | Title: Illumination-Insensitive Binary Descriptor for Visual Measurement Based on Local Inter-Patch Invariance
Abstract: Binary feature descriptors have been widely used in various visual measurement tasks, particularly those with limited computing resources and storage capacities. Existing binary descriptors may not p... | [] | Train |
18,715 | 23 | Title: Hybrid Search method for Zermelo's navigation problem
Abstract: In this paper, we present a novel algorithm called the Hybrid Search algorithm that integrates the Zermelo's Navigation Initial Value Problem with the Ferraro-Mart\'in de Diego-Almagro algorithm to find the optimal route for a vessel to reach its de... | [] | Test |
18,716 | 16 | Title: Hyperbolic Geometry in Computer Vision: A Novel Framework for Convolutional Neural Networks
Abstract: Real-world visual data exhibit intrinsic hierarchical structures that can be represented effectively in hyperbolic spaces. Hyperbolic neural networks (HNNs) are a promising approach for learning feature represen... | [
25568
] | Train |
18,717 | 7 | Title: NSTO: Neural Synthesizing Topology Optimization for Modulated Structure Generation
Abstract: Nature evolves structures like honeycombs at optimized performance with limited material. These efficient structures can be artificially created with the collaboration of structural topology optimization and additive man... | [] | Validation |
18,718 | 30 | Title: Why can neural language models solve next-word prediction? A mathematical perspective
Abstract: Recently, deep learning has revolutionized the field of natural language processing, with neural language models proving to be very effective for next-word prediction. However, a rigorous theoretical explanation for t... | [] | Train |
18,719 | 24 | Title: Linear Regression on Manifold Structured Data: the Impact of Extrinsic Geometry on Solutions
Abstract: In this paper, we study linear regression applied to data structured on a manifold. We assume that the data manifold is smooth and is embedded in a Euclidean space, and our objective is to reveal the impact of ... | [] | Train |
18,720 | 16 | Title: TextDeformer: Geometry Manipulation using Text Guidance
Abstract: We present a technique for automatically producing a deformation of an input triangle mesh, guided solely by a text prompt. Our framework is capable of deformations that produce both large, low-frequency shape changes, and small high-frequency det... | [
40256,
21324,
43152,
6739,
40790,
16697,
28478
] | Test |
18,721 | 16 | Title: An Intelligent Remote Sensing Image Quality Inspection System
Abstract: Due to the inevitable presence of quality problems, remote sensing image quality inspection is indeed an indispensable step between the acquisition and the application of remote sensing images. However, traditional manual inspection suffers ... | [
33220
] | Train |
18,722 | 24 | Title: Logical Expressiveness of Graph Neural Network for Knowledge Graph Reasoning
Abstract: Graph Neural Networks (GNNs) have been recently introduced to learn from knowledge graph (KG) and achieved state-of-the-art performance in KG reasoning. However, a theoretical certification for their good empirical performance... | [
37840,
34211
] | Validation |
18,723 | 30 | Title: Transformadores: Fundamentos teoricos y Aplicaciones
Abstract: Transformers are a neural network architecture originally designed for natural language processing that it is now a mainstream tool for solving a wide variety of problems, including natural language processing, sound, image, reinforcement learning, a... | [] | Train |
18,724 | 16 | Title: Interpretable Medical Image Visual Question Answering via Multi-Modal Relationship Graph Learning
Abstract: Medical visual question answering (VQA) aims to answer clinically relevant questions regarding input medical images. This technique has the potential to improve the efficiency of medical professionals whil... | [] | Test |
18,725 | 27 | Title: Long-Term Indoor Localization with Metric-Semantic Mapping using a Floor Plan Prior
Abstract: Object-based maps are relevant for scene understanding since they integrate geometric and semantic information of the environment, allowing autonomous robots to robustly localize and interact with on objects. In this pa... | [
37951
] | Train |
18,726 | 16 | Title: Archaeological Sites Detection with a Human-AI Collaboration Workflow
Abstract: This paper illustrates the results obtained by using pre-trained semantic segmentation deep learning models for the detection of archaeological sites within the Mesopotamian floodplains environment. The models were fine-tuned using o... | [] | Train |
18,727 | 16 | Title: Exploring Lightweight Hierarchical Vision Transformers for Efficient Visual Tracking
Abstract: Transformer-based visual trackers have demonstrated significant progress owing to their superior modeling capabilities. However, existing trackers are hampered by low speed, limiting their applicability on devices with... | [
26484,
3951
] | Train |
18,728 | 10 | Title: Proceedings 39th International Conference on Logic Programming
Abstract: This volume contains the Technical Communications presented at the 39th International Conference on Logic Programming (ICLP 2023), held at Imperial College London, UK from July 9 to July 15, 2023. Technical Communications included here conc... | [] | Test |
18,729 | 28 | Title: Graph Convolutional Network Enabled Power-Constrained HARQ Strategy for URLLC
Abstract: In this paper, a power-constrained hybrid automatic repeat request (HARQ) transmission strategy is developed to support ultra-reliable low-latency communications (URLLC). In particular, we aim to minimize the delivery latency... | [] | Train |
18,730 | 16 | Title: TopTrack: Tracking Objects By Their Top
Abstract: In recent years, the joint detection-and-tracking paradigm has been a very popular way of tackling the multi-object tracking (MOT) task. Many of the methods following this paradigm use the object cen- ter keypoint for detection. However, we argue that the center ... | [] | Train |
18,731 | 16 | Title: ControlVideo: Training-free Controllable Text-to-Video Generation
Abstract: Text-driven diffusion models have unlocked unprecedented abilities in image generation, whereas their video counterpart still lags behind due to the excessive training cost of temporal modeling. Besides the training burden, the generated... | [
18048,
42272,
30402,
20474,
14956,
15983,
20435,
28532,
17526,
26809,
34074,
36286
] | Validation |
18,732 | 30 | Title: Lexicon and Rule-based Word Lemmatization Approach for the Somali Language
Abstract: Lemmatization is a Natural Language Processing (NLP) technique used to normalize text by changing morphological derivations of words to their root forms. It is used as a core pre-processing step in many NLP tasks including text ... | [] | Validation |
18,733 | 30 | Title: Automatic Spell Checker and Correction for Under-represented Spoken Languages: Case Study on Wolof
Abstract: This paper presents a spell checker and correction tool specifically designed for Wolof, an under-represented spoken language in Africa. The proposed spell checker leverages a combination of a trie data s... | [] | Test |
18,734 | 23 | Title: Coeditor: Leveraging Contextual Changes for Multi-round Code Auto-editing
Abstract: Developers often dedicate significant time to maintaining and refactoring existing code. However, most prior work on generative models for code focuses solely on creating new code, neglecting the unique requirements of editing ex... | [
12328,
14869,
34208
] | Test |
18,735 | 16 | Title: Continual Face Forgery Detection via Historical Distribution Preserving
Abstract: Face forgery techniques have advanced rapidly and pose serious security threats. Existing face forgery detection methods try to learn generalizable features, but they still fall short of practical application. Additionally, finetun... | [
31247
] | Validation |
18,736 | 10 | Title: The Importance of Time in Causal Algorithmic Recourse
Abstract: The application of Algorithmic Recourse in decision-making is a promising field that offers practical solutions to reverse unfavorable decisions. However, the inability of these methods to consider potential dependencies among variables poses a sign... | [] | Train |
18,737 | 16 | Title: NeRO: Neural Geometry and BRDF Reconstruction of Reflective Objects from Multiview Images
Abstract: We present a neural rendering-based method called NeRO for reconstructing the geometry and the BRDF of reflective objects from multiview images captured in an unknown environment. Multiview reconstruction of refle... | [
7068
] | Test |
18,738 | 24 | Title: Locally Constrained Policy Optimization for Online Reinforcement Learning in Non-Stationary Input-Driven Environments
Abstract: We study online Reinforcement Learning (RL) in non-stationary input-driven environments, where a time-varying exogenous input process affects the environment dynamics. Online RL is chal... | [] | Test |
18,739 | 30 | Title: Camoscio: an Italian Instruction-tuned LLaMA
Abstract: In recent years Large Language Models (LLMs) have increased the state of the art on several natural language processing tasks. However, their accessibility is often limited to paid API services, posing challenges for researchers in conducting extensive inves... | [
13700,
27652,
23883,
528,
21555,
23767
] | Validation |
18,740 | 24 | Title: Learning to Defer with Limited Expert Predictions
Abstract: Recent research suggests that combining AI models with a human expert can exceed the performance of either alone. The combination of their capabilities is often realized by learning to defer algorithms that enable the AI to learn to decide whether to ma... | [] | Test |
18,741 | 30 | Title: How Ready are Pre-trained Abstractive Models and LLMs for Legal Case Judgement Summarization?
Abstract: Automatic summarization of legal case judgements has traditionally been attempted by using extractive summarization methods. However, in recent years, abstractive summarization models are gaining popularity si... | [
407,
6535,
8436,
28151,
12602
] | Train |
18,742 | 30 | Title: FLamE: Few-shot Learning from Natural Language Explanations
Abstract: Natural language explanations have the potential to provide rich information that in principle guides model reasoning.Yet, recent work by Lampinen et al. has shown limited utility of natural language explanations in improving classification.To... | [
20794,
25900
] | Train |
18,743 | 16 | Title: Simple, Effective and General: A New Backbone for Cross-view Image Geo-localization
Abstract: In this work, we aim at an important but less explored problem of a simple yet effective backbone specific for cross-view geo-localization task. Existing methods for cross-view geo-localization tasks are frequently char... | [
34540
] | Train |
18,744 | 37 | Title: RetClean: Retrieval-Based Data Cleaning Using Foundation Models and Data Lakes
Abstract: Can foundation models (such as ChatGPT) clean your data? In this proposal, we demonstrate that indeed ChatGPT can assist in data cleaning by suggesting corrections for specific cells in a data table (scenario 1). However, Ch... | [
13138,
15662
] | Train |
18,745 | 26 | Title: Toward Blockchain-based Fashion Wearables in the Metaverse: the Case of Decentraland
Abstract: Among the earliest projects to combine the Metaverse and non-fungible tokens (NFTs) we find Decentraland, a blockchain-based virtual world that touts itself as the first to be owned by its users. In particular, the pla... | [] | Train |
18,746 | 23 | Title: npm-follower: A Complete Dataset Tracking the NPM Ecosystem
Abstract: Software developers typically rely upon a large network of dependencies to build their applications. For instance, the NPM package repository contains over 3 million packages and serves tens of billions of downloads weekly. Understanding the s... | [] | Test |
18,747 | 24 | Title: Predicting and explaining nonlinear material response using deep Physically Guided Neural Networks with Internal Variables
Abstract: Nonlinear materials are often difficult to model with classical state model theory because they have a complex and sometimes inaccurate physical and mathematical description or we ... | [
8488
] | Test |
18,748 | 5 | Title: Portability and Scalability of OpenMP Offloading on State-of-the-art Accelerators
Abstract: Over the last decade, most of the increase in computing power has been gained by advances in accelerated many-core architectures, mainly in the form of GPGPUs. While accelerators achieve phenomenal performances in various... | [
35706
] | Validation |
18,749 | 34 | Title: On the Optimal Bounds for Noisy Computing
Abstract: We revisit the problem of computing with noisy information considered in Feige et al. [1], which includes computing the OR function from noisy queries, and computing the MAX, SEARCH, and SORT functions from noisy pairwise comparisons. For K given elements, the ... | [
43200
] | Train |
18,750 | 8 | Title: EdgeRIC: Empowering Realtime Intelligent Optimization and Control in NextG Networks
Abstract: Radio Access Networks (RAN) are increasingly softwarized and accessible via data-collection and control interfaces. RAN intelligent control (RIC) is an approach to manage these interfaces at different timescales. In thi... | [] | Train |
18,751 | 10 | Title: Towards eXplainable AI for Mobility Data Science
Abstract: This paper presents our ongoing work towards XAI for Mobility Data Science applications, focusing on explainable models that can learn from dense trajectory data, such as GPS tracks of vehicles and vessels using temporal graph neural networks (GNNs) and ... | [] | Validation |
18,752 | 4 | Title: Machine Learning Approach on Multiclass Classification of Internet Firewall Log Files
Abstract: Firewalls are critical components in securing communication networks by screening all incoming (and occasionally exiting) data packets. Filtering is carried out by comparing incoming data packets to a set of rules des... | [] | Train |
18,753 | 27 | Title: Anytime, Anywhere: Human Arm Pose from Smartwatch Data for Ubiquitous Robot Control and Teleoperation
Abstract: This work devises an optimized machine learning approach for human arm pose estimation from a single smartwatch. Our approach results in a distribution of possible wrist and elbow positions, which allo... | [
39038,
9727
] | Validation |
18,754 | 24 | Title: Power Law Trends in Speedrunning and Machine Learning
Abstract: We find that improvements in speedrunning world records follow a power law pattern. Using this observation, we answer an outstanding question from previous work: How do we improve on the baseline of predicting no improvement when forecasting speedru... | [] | Train |
18,755 | 25 | Title: Weight-sharing Supernet for Searching Specialized Acoustic Event Classification Networks Across Device Constraints
Abstract: Acoustic Event Classification (AEC) has been widely used in devices such as smart speakers and mobile phones for home safety or accessibility support. As AEC models run on more and more de... | [] | Train |
18,756 | 16 | Title: Adaptive Sparse Convolutional Networks with Global Context Enhancement for Faster Object Detection on Drone Images
Abstract: Object detection on drone images with low-latency is an important but challenging task on the resource-constrained unmanned aerial vehicle (UAV) platform. This paper investigates optimizin... | [] | Train |
18,757 | 13 | Title: Evolving Deep Neural Network by Customized Moth Flame Optimization Algorithm for Underwater Targets Recognition
Abstract: This chapter proposes using the Moth Flame Optimization (MFO) algorithm for finetuning a Deep Neural Network to recognize different underwater sonar datasets. Same as other models evolved by ... | [] | Validation |
18,758 | 24 | Title: Analyzing Leakage of Personally Identifiable Information in Language Models
Abstract: Language Models (LMs) have been shown to leak information about training data through sentence-level membership inference and reconstruction attacks. Understanding the risk of LMs leaking Personally Identifiable Information (PI... | [
41122,
5957,
8264,
27434,
13388,
10800,
7985,
38194,
9109,
35959,
38775,
33368,
18777,
14618,
9308,
10749,
28575
] | Train |
18,759 | 27 | Title: Deep Reinforcement Learning-Based Mapless Crowd Navigation with Perceived Risk of the Moving Crowd for Mobile Robots
Abstract: Classical map-based navigation methods are commonly used for robot navigation, but they often struggle in crowded environments due to the Frozen Robot Problem (FRP). Deep reinforcement l... | [] | Train |
18,760 | 30 | Title: Exploring AI-Generated Text in Student Writing: How Does AI Help?
Abstract: English as foreign language_EFL_students' use of text generated from artificial intelligence_AI_natural language generation_NLG_tools may improve their writing quality. However, it remains unclear to what extent AI-generated text in thes... | [] | Test |
18,761 | 10 | Title: Data Mesh: Motivational Factors, Challenges, and Best Practices
Abstract: With the increasing importance of data and artificial intelligence, organizations strive to become more data-driven. However, current data architectures are not necessarily designed to keep up with the scale and scope of data and analytics... | [] | Train |
18,762 | 16 | Title: Neural-PBIR Reconstruction of Shape, Material, and Illumination
Abstract: Reconstructing the shape and spatially varying surface appearances of a physical-world object as well as its surrounding illumination based on 2D images (e.g., photographs) of the object has been a long-standing problem in computer vision ... | [] | Train |
18,763 | 27 | Title: Conflict-Based Model Predictive Control for Scalable Multi-Robot Motion Planning
Abstract: This paper presents a scalable multi-robot motion planning algorithm called Conflict-Based Model Predictive Control (CB-MPC). Inspired by Conflict-Based Search (CBS), the planner leverages a similar high-level conflict tre... | [] | Train |
18,764 | 4 | Title: Not what you've signed up for: Compromising Real-World LLM-Integrated Applications with Indirect Prompt Injection
Abstract: Large Language Models (LLMs) are increasingly being integrated into various applications. The functionalities of recent LLMs can be flexibly modulated via natural language prompts. This ren... | [
17920,
45190,
22286,
30608,
8853,
27926,
44697,
39840,
19747,
31653,
16556,
18476,
4408,
21180,
44481,
846,
26199,
729,
45275,
1115,
37987,
28392,
43376,
34545,
46066,
634,
1917
] | Train |
18,765 | 24 | Title: DCID: Deep Canonical Information Decomposition
Abstract: We consider the problem of identifying the signal shared between two one-dimensional target variables, in the presence of additional multivariate observations. Canonical Correlation Analysis (CCA)-based methods have traditionally been used to identify shar... | [] | Train |
18,766 | 30 | Title: Context-aware attention layers coupled with optimal transport domain adaptation and multimodal fusion methods for recognizing dementia from spontaneous speech
Abstract: nan | [] | Train |
18,767 | 24 | Title: Large Language Models as Optimizers
Abstract: Optimization is ubiquitous. While derivative-based algorithms have been powerful tools for various problems, the absence of gradient imposes challenges on many real-world applications. In this work, we propose Optimization by PROmpting (OPRO), a simple and effective ... | [
14592,
8580,
30087,
11406,
5522,
29087,
29728,
14380,
29612,
22578,
23102,
40135,
15692,
31314,
3795,
29396,
6744,
9314,
34667,
3181,
37742,
1401,
634,
17789
] | Test |
18,768 | 7 | Title: Improved self-consistency of the Reynolds stress tensor eigenspace perturbation for Uncertainty Quantification
Abstract: The limitations of turbulence closure models in the context of Reynolds-averaged Navier–Stokes (RANS) simulations play a significant part in contributing to the uncertainty of computational fl... | [] | Validation |
18,769 | 4 | Title: An Automated Vulnerability Detection Framework for Smart Contracts
Abstract: With the increase of the adoption of blockchain technology in providing decentralized solutions to various problems, smart contracts have become more popular to the point that billions of US Dollars are currently exchanged every day thr... | [] | Train |
18,770 | 36 | Title: Host Community Respecting Refugee Housing
Abstract: We propose a novel model for refugee housing respecting the preferences of accepting community and refugees themselves. In particular, we are given a topology representing the local community, a set of inhabitants occupying some vertices of the topology, and a ... | [
28497
] | Test |
18,771 | 27 | Title: A Heuristic Autonomous Exploration Method Based on Environmental Information Gain During Quadrotor Flight
Abstract: Autonomous exploration is a widely studied fundamental application in the field of quadrotors, which requires them to automatically explore unknown space to obtain complete information about the en... | [] | Train |
18,772 | 23 | Title: A Qualitative Study on the Implementation Design Decisions of Developers
Abstract: Decision-making is a key software engineering skill. Developers constantly make choices throughout the software development process, from requirements to implementation. While prior work has studied developer decision-making, the ... | [
23276,
23853
] | Train |
18,773 | 24 | Title: Neural Hilbert Ladders: Multi-Layer Neural Networks in Function Space
Abstract: The characterization of the functions spaces explored by neural networks (NNs) is an important aspect of deep learning theory. In this work, we view a multi-layer NN with arbitrary width as defining a particular hierarchy of reproduc... | [
15609
] | Train |
18,774 | 28 | Title: Achievable Information Rate Analysis in Diffusive Channels with Memory and Markov Source
Abstract: This paper explores the Achievable Information Rate (AIR) of a diffusive Molecular Communication (MC) channel featuring a fully absorbing receiver that counts the absorbed particles during symbol time intervals (ST... | [] | Train |
18,775 | 16 | Title: VTAE: Variational Transformer Autoencoder With Manifolds Learning
Abstract: Deep generative models have demonstrated successful applications in learning non-linear data distributions through a number of latent variables and these models use a non-linear function (generator) to map latent samples into the data sp... | [
2328
] | Test |
18,776 | 16 | Title: End-to-End 3D Dense Captioning with Vote2Cap-DETR
Abstract: 3D dense captioning aims to generate multiple captions localized with their associated object regions. Existing methods follow a sophisticated “detect-then-describe” pipeline equipped with numerous hand-crafted components. However, these hand-crafted co... | [
40999,
26798,
658,
15541,
5535
] | Validation |
18,777 | 25 | Title: Sparks of Large Audio Models: A Survey and Outlook
Abstract: This survey paper provides a comprehensive overview of the recent advancements and challenges in applying large language models to the field of audio signal processing. Audio processing, with its diverse signal representations and a wide range of sourc... | [
7936,
4481,
13186,
27138,
13700,
40192,
23302,
37252,
43201,
3853,
9614,
21778,
8084,
11929,
15129,
44445,
41122,
29476,
29604,
37177,
26153,
27434,
39855,
10800,
32176,
27440,
40501,
42422,
6455,
15159,
10169,
12602,
40119,
22713,
27324,
25021,
... | Train |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.