node_id int64 0 76.9k | label int64 0 39 | text stringlengths 13 124k | neighbors listlengths 0 3.32k | mask stringclasses 4
values |
|---|---|---|---|---|
35,778 | 4 | Title: A Desynchronization-Based Countermeasure Against Side-Channel Analysis of Neural Networks
Abstract: Model extraction attacks have been widely applied, which can normally be used to recover confidential parameters of neural networks for multiple layers. Recently, side-channel analysis of neural networks allows pa... | [] | Train |
35,779 | 28 | Title: Theoretical Limits of Backscatter Communications
Abstract: Backscatter communication is a hot candidate for future IoT systems. It offers the possibility for connectivity with tiny amounts of energy that can be easily obtained from energy harvesting. This is possible as backscatter devices do not actively transm... | [] | Test |
35,780 | 16 | Title: DiffusionEngine: Diffusion Model is Scalable Data Engine for Object Detection
Abstract: Data is the cornerstone of deep learning. This paper reveals that the recently developed Diffusion Model is a scalable data engine for object detection. Existing methods for scaling up detection-oriented data often require ma... | [
41146
] | Train |
35,781 | 5 | Title: Efficient Federated Learning with Enhanced Privacy via Lottery Ticket Pruning in Edge Computing
Abstract: Federated learning (FL) is a collaborative learning paradigm for decentralized private data from mobile terminals (MTs). However, it suffers from issues in terms of communication, resource of MTs, and privac... | [
2194
] | Validation |
35,782 | 7 | Title: Physics-informed Data-driven Discovery of Constitutive Models with Application to Strain-Rate-sensitive Soft Materials
Abstract: A novel data-driven constitutive modeling approach is proposed, which combines the physics-informed nature of modeling based on continuum thermodynamics with the benefits of machine le... | [
32583
] | Train |
35,783 | 24 | Title: Frugal day-ahead forecasting of multiple local electricity loads by aggregating adaptive models
Abstract: We focus on day-ahead electricity load forecasting of substations of the distribution network in France; therefore, our problem lies between the instability of a single consumption and the stability of a cou... | [] | Train |
35,784 | 24 | Title: A Closer Look at Few-shot Classification Again
Abstract: Few-shot classification consists of a training phase where a model is learned on a relatively large dataset and an adaptation phase where the learned model is adapted to previously-unseen tasks with limited labeled samples. In this paper, we empirically pr... | [
21834,
46134
] | Validation |
35,785 | 30 | Title: Distinguishing ChatGPT(-3.5, -4)-generated and human-written papers through Japanese stylometric analysis
Abstract: In the first half of 2023, text-generative artificial intelligence (AI), including ChatGPT from OpenAI, has attracted considerable attention worldwide. In this study, first, we compared Japanese st... | [
44486,
3050,
1260,
43380,
6836,
22935,
43930
] | Train |
35,786 | 25 | Title: WavJourney: Compositional Audio Creation with Large Language Models
Abstract: Large Language Models (LLMs) have shown great promise in integrating diverse expert models to tackle intricate language and vision tasks. Despite their significance in advancing the field of Artificial Intelligence Generated Content (A... | [
4481,
13700,
15628,
20877,
14966,
35800,
4088,
18777,
33853
] | Train |
35,787 | 39 | Title: Digraph redicolouring
Abstract: In this work, we generalize several results on graph recolouring to digraphs. Given two k -dicolourings of a digraph D , we prove that it is PSPACE-complete to decide whether we can transform one into the other by recolouring one vertex at each step while maintaining a dicolouring... | [] | Train |
35,788 | 25 | Title: Discrete Diffusion Probabilistic Models for Symbolic Music Generation
Abstract: Denoising Diffusion Probabilistic Models (DDPMs) have made great strides in generating high-quality samples in both discrete and continuous domains.
However, Discrete DDPMs (D3PMs) have yet to be applied to the domain of Symbolic Mu... | [] | Validation |
35,789 | 27 | Title: Autonomous material composite morphing wing
Abstract: Aeronautics research has continually sought to achieve the adaptability and morphing performance of avian wings, but in practice, wings of all scales continue to use the same hinged control-surface embodiment. Recent research into compliant and bio-inspired m... | [] | Train |
35,790 | 27 | Title: A Robotic Medical Clown (RMC): Forming a Design Space Model
Abstract: Medical clowns help hospitalized children in reducing pain and anxiety symptoms and increase the level of satisfaction in children's wards. Unfortunately, there is a shortage of medical clowns around the world. Furthermore, isolated children c... | [] | Validation |
35,791 | 16 | Title: Prompting Segmentation with Sound is Generalizable Audio-Visual Source Localizer
Abstract: Never having seen an object and heard its sound simultaneously, can the model still accurately localize its visual position from the input audio? In this work, we concentrate on the Audio-Visual Localization and Segmentati... | [
36322,
37252,
35568,
30385,
2803,
2774
] | Validation |
35,792 | 24 | Title: Compression, Generalization and Learning
Abstract: A compression function is a map that slims down an observational set into a subset of reduced size, while preserving its informational content. In multiple applications, the condition that one new observation makes the compressed set change is interpreted that t... | [] | Validation |
35,793 | 10 | Title: Declarative Reasoning on Explanations Using Constraint Logic Programming
Abstract: Explaining opaque Machine Learning (ML) models is an increasingly relevant problem. Current explanation in AI (XAI) methods suffer several shortcomings, among others an insufficient incorporation of background knowledge, and a lac... | [
32513
] | Validation |
35,794 | 15 | Title: HW/SW Codesign for Robust and Efficient Binarized SNNs by Capacitor Minimization
Abstract: Using accelerators based on analog computing is an efficient way to process the immensely large workloads in Neural Networks (NNs). One example of an analog computing scheme for NNs is Integrate-and-Fire (IF) Spiking Neura... | [] | Validation |
35,795 | 34 | Title: Scheduling with a Limited Testing Budget
Abstract: Scheduling with testing falls under the umbrella of the research on optimization with explorable uncertainty. In this model, each job has an upper limit on its processing time that can be decreased to a lower limit (possibly unknown) by some preliminary action (... | [] | Test |
35,796 | 24 | Title: Personalizing Federated Learning with Over-the-Air Computations
Abstract: Federated edge learning is a promising technology to deploy intelligence at the edge of wireless networks in a privacy-preserving manner. Under such a setting, multiple clients collaboratively train a global generic model under the coordin... | [] | Train |
35,797 | 16 | Title: MaskRenderer: 3D-Infused Multi-Mask Realistic Face Reenactment
Abstract: We present a novel end-to-end identity-agnostic face reenactment system, MaskRenderer, that can generate realistic, high fidelity frames in real-time. Although recent face reenactment works have shown promising results, there are still sign... | [
1540
] | Test |
35,798 | 16 | Title: ACTION++: Improving Semi-supervised Medical Image Segmentation with Adaptive Anatomical Contrast
Abstract: Medical data often exhibits long-tail distributions with heavy class imbalance, which naturally leads to difficulty in classifying the minority classes (i.e., boundary regions or rare objects). Recent work ... | [
27704,
595,
3220
] | Train |
35,799 | 24 | Title: Delegating Data Collection in Decentralized Machine Learning
Abstract: Motivated by the emergence of decentralized machine learning ecosystems, we study the delegation of data collection. Taking the field of contract theory as our starting point, we design optimal and near-optimal contracts that deal with two fu... | [
39715
] | Train |
35,800 | 25 | Title: Simple and Controllable Music Generation
Abstract: We tackle the task of conditional music generation. We introduce MusicGen, a single Language Model (LM) that operates over several streams of compressed discrete music representation, i.e., tokens. Unlike prior work, MusicGen is comprised of a single-stage trans... | [
4481,
13186,
13700,
15628,
21778,
40351,
3882,
10169,
7239,
2887,
15816,
35786,
10063,
18777,
42969,
40667,
11877,
23534,
41844,
4088
] | Train |
35,801 | 16 | Title: Model Stitching and Visualization How GAN Generators can Invert Networks in Real-Time
Abstract: Critical applications, such as in the medical field, require the rapid provision of additional information to interpret decisions made by deep learning methods. In this work, we propose a fast and accurate method to v... | [] | Train |
35,802 | 16 | Title: DELFlow: Dense Efficient Learning of Scene Flow for Large-Scale Point Clouds
Abstract: Point clouds are naturally sparse, while image pixels are dense. The inconsistency limits feature fusion from both modalities for point-wise scene flow estimation. Previous methods rarely predict scene flow from the entire poi... | [] | Train |
35,803 | 30 | Title: Graecia capta ferum victorem cepit. Detecting Latin Allusions to Ancient Greek Literature
Abstract: Intertextual allusions hold a pivotal role in Classical Philology, with Latin authors frequently referencing Ancient Greek texts. Until now, the automatic identification of these intertextual references has been c... | [
27646,
26399
] | Train |
35,804 | 24 | Title: Hyperbolic Representation Learning: Revisiting and Advancing
Abstract: The non-Euclidean geometry of hyperbolic spaces has recently garnered considerable attention in the realm of representation learning. Current endeavors in hyperbolic representation largely presuppose that the underlying hierarchies can be aut... | [
8066,
6022
] | Train |
35,805 | 16 | Title: Segment Anything Model (SAM) Enhanced Pseudo Labels for Weakly Supervised Semantic Segmentation
Abstract: Weakly Supervised Semantic Segmentation (WSSS) with only image-level supervision has garnered increasing attention due to its low annotation cost compared to pixel-level annotation. Most existing methods rel... | [
12704,
29765,
38612,
19998,
35263
] | Train |
35,806 | 34 | Title: Efficient Parameterized Pattern Matching in Sublinear Space
Abstract: The parameterized matching problem is a variant of string matching, which is to search for all parameterized occurrences of a pattern $P$ in a text $T$. In considering matching algorithms, the combinatorial natures of strings, especially perio... | [] | Train |
35,807 | 23 | Title: CodeScore: Evaluating Code Generation by Learning Code Execution
Abstract: A proper code evaluation metric (CEM) profoundly impacts the evolution of code generation, which is an important research field in NLP and software engineering. Prevailing CEMs can be categorized into match-based CEMs (e.g., BLEU, Accurac... | [
24948,
16855
] | Train |
35,808 | 30 | Title: EZInterviewer: To Improve Job Interview Performance with Mock Interview Generator
Abstract: Interview has been regarded as one of the most crucial step for recruitment. To fully prepare for the interview with the recruiters, job seekers usually practice with mock interviews between each other. However, such a mo... | [
28890
] | Test |
35,809 | 23 | Title: Asteria-Pro: Enhancing Deep-Learning Based Binary Code Similarity Detection by Incorporating Domain Knowledge
Abstract: The widespread code reuse allows vulnerabilities to proliferate among a vast variety of firmware. There is an urgent need to detect these vulnerable code effectively and efficiently. By measuri... | [] | Train |
35,810 | 23 | Title: ITER: Iterative Neural Repair for Multi-Location Patches
Abstract: Automated program repair (APR) has achieved promising results, especially using neural networks. Yet, the overwhelming majority of patches produced by APR tools are confined to one single location. When looking at the patches produced with neural... | [
7536
] | Validation |
35,811 | 36 | Title: Sample-Based Online Generalized Assignment Problem with Unknown Poisson Arrivals
Abstract: We study an edge-weighted online stochastic \emph{Generalized Assignment Problem} with \emph{unknown} Poisson arrivals. In this model, we consider a bipartite graph that contains offline bins and online items, where each o... | [
45461
] | Validation |
35,812 | 24 | Title: Online Learning with Set-Valued Feedback
Abstract: We study a variant of online multiclass classification where the learner predicts a single label but receives a \textit{set of labels} as feedback. In this model, the learner is penalized for not outputting a label contained in the revealed set. We show that unl... | [
40840,
8950,
29671
] | Test |
35,813 | 24 | Title: Barriers for the performance of graph neural networks (GNN) in discrete random structures. A comment on~\cite{schuetz2022combinatorial}, \cite{angelini2023modern}, \cite{schuetz2023reply}
Abstract: Recently graph neural network (GNN) based algorithms were proposed to solve a variety of combinatorial optimization... | [] | Validation |
35,814 | 24 | Title: Unsupervised hierarchical clustering using the learning dynamics of RBMs
Abstract: Data sets in the real world are often complex and to some degree hierarchical, with groups and subgroups of data sharing common characteristics at different levels of abstraction. Understanding and uncovering the hidden structure ... | [
23868,
20934
] | Train |
35,815 | 28 | Title: A Generalized Covering Algorithm for Chained Codes
Abstract: The covering radius is a fundamental property of linear codes that characterizes the trade-off between storage and access in linear data-query protocols. The generalized covering radius was recently defined by Elimelech and Schwartz for applications in... | [] | Train |
35,816 | 30 | Title: Modeling What-to-ask and How-to-ask for Answer-unaware Conversational Question Generation
Abstract: Conversational Question Generation (CQG) is a critical task for machines to assist humans in fulfilling their information needs through conversations. The task is generally cast into two different settings: answer... | [] | Train |
35,817 | 27 | Title: Uncertainty-aware Risk Assessment of Robotic Systems via Importance Sampling
Abstract: In this paper, we introduce a probabilistic approach to risk assessment of robot systems by focusing on the impact of uncertainties. While various approaches to identifying systematic hazards (e.g., bugs, design flaws, etc.) c... | [
28705
] | Test |
35,818 | 5 | Title: Distributed derandomization revisited
Abstract: One of the cornerstones of the distributed complexity theory is the derandomization result by Chang, Kopelowitz, and Pettie [FOCS 2016]: any randomized LOCAL algorithm that solves a locally checkable labeling problem (LCL) can be derandomized with at most exponenti... | [] | Train |
35,819 | 24 | Title: Spherical Inducing Features for Orthogonally-Decoupled Gaussian Processes
Abstract: Despite their many desirable properties, Gaussian processes (GPs) are often compared unfavorably to deep neural networks (NNs) for lacking the ability to learn representations. Recent efforts to bridge the gap between GPs and dee... | [] | Train |
35,820 | 31 | Title: Gaussian Graph with Prototypical Contrastive Learning in E-Commerce Bundle Recommendation
Abstract: Bundle recommendation aims to provide a bundle of items to satisfy the user preference on e-commerce platform. Existing successful solutions are based on the contrastive graph learning paradigm where graph neural ... | [] | Train |
35,821 | 16 | Title: FLatten Transformer: Vision Transformer using Focused Linear Attention
Abstract: The quadratic computation complexity of self-attention has been a persistent challenge when applying Transformer models to vision tasks. Linear attention, on the other hand, offers a much more efficient alternative with its linear c... | [
46186,
12398
] | Train |
35,822 | 28 | Title: User Pairing and Power Allocation in Untrusted Multiuser NOMA for Internet of Things
Abstract: In the Internet of Things (IoT), massive sensitive and confidential information is transmitted wirelessly, making security a serious concern. This is particularly true when technologies, such as nonorthogonal multiple ... | [] | Test |
35,823 | 24 | Title: Learning Dynamic Attribute-factored World Models for Efficient Multi-object Reinforcement Learning
Abstract: In many reinforcement learning tasks, the agent has to learn to interact with many objects of different types and generalize to unseen combinations and numbers of objects. Often a task is a composition of... | [
42595,
5463
] | Train |
35,824 | 30 | Title: Dr ChatGPT, tell me what I want to hear: How prompt knowledge impacts health answer correctness
Abstract: Generative pre-trained language models (GPLMs) like ChatGPT encode in the model's parameters knowledge the models observe during the pre-training phase. This knowledge is then used at inference to address th... | [
37762,
11619,
33699,
35580,
18638,
20750,
31439,
45822,
11476,
35545,
14236,
13278
] | Validation |
35,825 | 20 | Title: Online Embedding of Metrics
Abstract: We study deterministic online embeddings of metrics spaces into normed spaces and into trees against an adaptive adversary. Main results include a polynomial lower bound on the (multiplicative) distortion of embedding into Euclidean spaces, a tight exponential upper bound on... | [] | Train |
35,826 | 16 | Title: Nearest Neighbors Meet Deep Neural Networks for Point Cloud Analysis
Abstract: Performances on standard 3D point cloud benchmarks have plateaued, resulting in oversized models and complex network design to make a fractional improvement. We present an alternative to enhance existing deep neural networks without a... | [
22561,
18183,
4362,
33680,
12339
] | Train |
35,827 | 8 | Title: Edge Dynamic Map architecture for C-ITS applications
Abstract: Cooperative Intelligent Transport Systems (C-ITS) create, share and process massive amounts of data which needs to be real-time managed to enable new cooperative and autonomous driving applications. Vehicle-to-Everything (V2X) communications facilita... | [
16203
] | Train |
35,828 | 6 | Title: Why Don't You Do Something About It? Outlining Connections between AI Explanations and User Actions
Abstract: A core assumption of explainable AI systems is that explanations change what users know, thereby enabling them to act within their complex socio-technical environments. Despite the centrality of action, ... | [] | Train |
35,829 | 8 | Title: IS2N: Intent-Driven Security Software-Defined Network with Blockchain
Abstract: Software-defined network (SDN) is characterized by its programmability, flexibility, and the separation of control and data planes. However, SDN still have many challenges, particularly concerning the security of network information ... | [] | Train |
35,830 | 27 | Title: RobotPerf: An Open-Source, Vendor-Agnostic, Benchmarking Suite for Evaluating Robotics Computing System Performance
Abstract: We introduce RobotPerf, a vendor-agnostic benchmarking suite designed to evaluate robotics computing performance across a diverse range of hardware platforms using ROS 2 as its common bas... | [] | Train |
35,831 | 24 | Title: HAct: Out-of-Distribution Detection with Neural Net Activation Histograms
Abstract: We propose a simple, efficient, and accurate method for detecting out-of-distribution (OOD) data for trained neural networks, a potential first step in methods for OOD generalization. We propose a novel descriptor, HAct - activat... | [
4735
] | Validation |
35,832 | 30 | Title: Stochastic LLMs do not Understand Language: Towards Symbolic, Explainable and Ontologically Based LLMs
Abstract: In our opinion the exuberance surrounding the relative success of data-driven large language models (LLMs) is slightly misguided and for several reasons (i) LLMs cannot be relied upon for factual info... | [] | Train |
35,833 | 27 | Title: Developing Social Robots with Empathetic Non-Verbal Cues Using Large Language Models
Abstract: We propose augmenting the empathetic capacities of social robots by integrating non-verbal cues. Our primary contribution is the design and labeling of four types of empathetic non-verbal cues, abbreviated as SAFE: Spe... | [] | Validation |
35,834 | 30 | Title: CoEdIT: Text Editing by Task-Specific Instruction Tuning
Abstract: Text editing or revision is an essential function of the human writing process. Understanding the capabilities of LLMs for making high-quality revisions and collaborating with human writers is a critical step toward building effective writing ass... | [
7424,
21921,
34208,
25892,
35556,
13700,
5643,
31250
] | Validation |
35,835 | 30 | Title: Benchmarking Diverse-Modal Entity Linking with Generative Models
Abstract: Entities can be expressed in diverse formats, such as texts, images, or column names and cell values in tables. While existing entity linking (EL) models work well on per modality configuration, such as text-only EL, visual grounding, or ... | [] | Validation |
35,836 | 27 | Title: Comfort-oriented driving: performance comparison between human drivers and motion planners
Abstract: Motion planning is a fundamental component in automated vehicles. It influences the comfort and time efficiency of the ride. Despite a vast collection of studies working towards improving motion comfort in self-d... | [] | Train |
35,837 | 15 | Title: SPARTA: Spatial Acceleration for Efficient and Scalable Horizontal Diffusion Weather Stencil Computation
Abstract: Fast and accurate climate simulations and weather predictions are critical for understanding and preparing for the impact of climate change. Real-world climate and weather simulations involve the us... | [
4617,
18243
] | Train |
35,838 | 16 | Title: An Evaluation of Non-Contrastive Self-Supervised Learning for Federated Medical Image Analysis
Abstract: Privacy and annotation bottlenecks are two major issues that profoundly affect the practicality of machine learning-based medical image analysis. Although significant progress has been made in these areas, th... | [] | Train |
35,839 | 27 | Title: BCSSN: Bi-direction Compact Spatial Separable Network for Collision Avoidance in Autonomous Driving
Abstract: Autonomous driving has been an active area of research and development, with various strategies being explored for decision-making in autonomous vehicles. Rule-based systems, decision trees, Markov decis... | [] | Validation |
35,840 | 24 | Title: Investigating and Mitigating the Side Effects of Noisy Views in Multi-view Clustering in Practical Scenarios
Abstract: Multi-view clustering (MvC) aims at exploring category structures among multi-view data without label supervision. Multiple views provide more information than single views and thus existing MvC... | [] | Test |
35,841 | 30 | Title: AutoConv: Automatically Generating Information-seeking Conversations with Large Language Models
Abstract: Information-seeking conversation, which aims to help users gather information through conversation, has achieved great progress in recent years. However, the research is still stymied by the scarcity of trai... | [] | Train |
35,842 | 27 | Title: GraspGPT: Leveraging Semantic Knowledge from a Large Language Model for Task-Oriented Grasping
Abstract: Task-oriented grasping (TOG) refers to the problem of predicting grasps on an object that enable subsequent manipulation tasks. To model the complex relationships between objects, tasks, and grasps, existing ... | [
5488,
26562,
4415
] | Validation |
35,843 | 30 | Title: A Diffusion Model for Event Skeleton Generation
Abstract: Event skeleton generation, aiming to induce an event schema skeleton graph with abstracted event nodes and their temporal relations from a set of event instance graphs, is a critical step in the temporal complex event schema induction task. Existing metho... | [
4779,
44836
] | Train |
35,844 | 16 | Title: Local Distortion Aware Efficient Transformer Adaptation for Image Quality Assessment
Abstract: Image Quality Assessment (IQA) constitutes a fundamental task within the field of computer vision, yet it remains an unresolved challenge, owing to the intricate distortion conditions, diverse image contents, and limit... | [
36489,
22026,
37070,
29266,
9819,
13564,
6942
] | Train |
35,845 | 5 | Title: Distributed Graph Embedding with Information-Oriented Random Walks
Abstract: Graph embedding maps graph nodes to low-dimensional vectors, and is widely adopted in machine learning tasks. The increasing availability of billion-edge graphs underscores the importance of learning efficient and effective embeddings o... | [] | Train |
35,846 | 34 | Title: A fast algorithm for All-Pairs-Shortest-Paths suitable for neural networks
Abstract: Given a directed graph of nodes and edges connecting them, a common problem is to find the shortest path between any two nodes. Here I show that the shortest path distances can be found by a simple matrix inversion: If the edges... | [] | Train |
35,847 | 28 | Title: Semantic Filtering and Source Coding in Distributed Wireless Monitoring Systems
Abstract: The problem of goal-oriented semantic filtering and timely source coding in multiuser communication systems is considered here. We study a distributed monitoring system in which multiple information sources, each observing ... | [] | Train |
35,848 | 24 | Title: Graph topological property recovery with heat and wave dynamics-based features on graphs
Abstract: In this paper, we propose Graph Differential Equation Network (GDeNet), an approach that harnesses the expressive power of solutions to PDEs on a graph to obtain continuous node- and graph-level representations for... | [
18379
] | Test |
35,849 | 24 | Title: Leveraging an Alignment Set in Tackling Instance-Dependent Label Noise
Abstract: Noisy training labels can hurt model performance. Most approaches that aim to address label noise assume label noise is independent from the input features. In practice, however, label noise is often feature or \textit{instance-depe... | [] | Train |
35,850 | 16 | Title: Task-driven Compression for Collision Encoding based on Depth Images
Abstract: This paper contributes a novel learning-based method for aggressive task-driven compression of depth images and their encoding as images tailored to collision prediction for robotic systems. A novel 3D image processing methodology is ... | [
41870
] | Test |
35,851 | 27 | Title: Global Localization in Unstructured Environments using Semantic Object Maps Built from Various Viewpoints
Abstract: We present a novel framework for global localization and guided relocalization of a vehicle in an unstructured environment. Compared to existing methods, our pipeline does not rely on cues from urb... | [] | Train |
35,852 | 30 | Title: Emotion Flip Reasoning in Multiparty Conversations
Abstract: In a conversational dialogue, speakers may have different emotional states and their dynamics play an important role in understanding dialogue's emotional discourse. However, simply detecting emotions is not sufficient to entirely comprehend the speake... | [] | Train |
35,853 | 31 | Title: Multi-Task Recommendations with Reinforcement Learning
Abstract: In recent years, Multi-task Learning (MTL) has yielded immense success in Recommender System (RS) applications [40]. However, current MTL-based recommendation models tend to disregard the session-wise patterns of user-item interactions because they... | [
8945,
6877
] | Train |
35,854 | 22 | Title: Historia: Refuting Callback Reachability with Message-History Logics (Extended Version)
Abstract: This paper determines if a callback can be called by an event-driven framework in an unexpected state.Event-driven programming frameworks are pervasive for creating user-interactive apps on just about every modern p... | [] | Train |
35,855 | 16 | Title: GPT4Image: Can Large Pre-trained Models Help Vision Models on Perception Tasks?
Abstract: The recent upsurge in pre-trained large models (e.g. GPT-4) has swept across the entire deep learning community. Such powerful large language models (LLMs) demonstrate advanced generative ability and multimodal understandin... | [
10624,
37987,
13700,
41104,
13564
] | Train |
35,856 | 24 | Title: Approximation and Estimation Ability of Transformers for Sequence-to-Sequence Functions with Infinite Dimensional Input
Abstract: Despite the great success of Transformer networks in various applications such as natural language processing and computer vision, their theoretical aspects are not well understood. I... | [] | Train |
35,857 | 4 | Title: Android Malware Detection using Machine learning: A Review
Abstract: Malware for Android is becoming increasingly dangerous to the safety of mobile devices and the data they hold. Although machine learning(ML) techniques have been shown to be effective at detecting malware for Android, a comprehensive analysis o... | [] | Validation |
35,858 | 4 | Title: Enabling Data Confidentiality with Public Blockchains
Abstract: Blockchain technology is apt to facilitate the automation of multi-party cooperations among various players in a decentralized setting, especially in cases where trust among participants is limited. Transactions are stored in a ledger, a replica of ... | [] | Train |
35,859 | 38 | Title: Whats next? Forecasting scientific research trends
Abstract: Scientific research trends and interests evolve over time. The ability to identify and forecast these trends is vital for educational institutions, practitioners, investors, and funding organizations. In this study, we predict future trends in scientif... | [] | Train |
35,860 | 23 | Title: A Survey of Deep Code Search
Abstract: Code writing is repetitive and predictable, inspiring us to develop various code intelligence techniques. This survey focuses on code search, that is, to retrieve code that matches a given query by effectively capturing the semantic similarity between the query and code. De... | [] | Train |
35,861 | 36 | Title: Economics of Spot Instance Service: A Two-stage Dynamic Game Apporach
Abstract: This paper presents the economic impacts of spot instance service on the cloud service providers (CSPs) and the customers when the CSPs offer it along with the on-demand instance service to the customers. We model the interaction bet... | [] | Train |
35,862 | 27 | Title: Can Machines Garden? Systematically Comparing the AlphaGarden vs. Professional Horticulturalists
Abstract: The AlphaGarden is an automated testbed for indoor polyculture farming which combines a first-order plant simulator, a gantry robot, a seed planting algorithm, plant phenotyping and tracking algorithms, irr... | [] | Train |
35,863 | 24 | Title: LLMs Can Understand Encrypted Prompt: Towards Privacy-Computing Friendly Transformers
Abstract: Prior works have attempted to build private inference frameworks for transformer-based large language models (LLMs) in a server-client setting, where the server holds the model parameters and the client inputs the pri... | [
21060,
31094
] | Test |
35,864 | 10 | Title: Partially Observable Mean Field Multi-Agent Reinforcement Learning Based on Graph-Attention
Abstract: Multiple unmanned aerial vehicles (Multi-UAV) systems have recently demonstrated significant advantages in some real-world scenarios, but the limited communication range of UAVs poses great challenges to multi-U... | [] | Test |
35,865 | 16 | Title: Holistic Processing of Colour Images Using Novel Quaternion-Valued Wavelets on the Plane
Abstract: We investigate the applicability of quaternion-valued wavelets on the plane to holistic colour image processing. We present a methodology for decomposing and reconstructing colour images using quaternionic wavelet ... | [] | Train |
35,866 | 23 | Title: Studying the characteristics of SQL-related development tasks: An empirical study
Abstract: nan | [] | Test |
35,867 | 24 | Title: Forecast-Aware Model Driven LSTM
Abstract: Poor air quality can have a significant impact on human health. The National Oceanic and Atmospheric Administration (NOAA) air quality forecasting guidance is challenged by the increasing presence of extreme air quality events due to extreme weather events such as wild ... | [] | Train |
35,868 | 3 | Title: "This Applies to the Real World": Student Perspectives on Integrating Ethics into a Computer Science Assignment
Abstract: There is a growing movement in undergraduate computer science (CS) programs to embed ethics across CS classes rather than relying solely on standalone ethics courses. One strategy is creating... | [] | Test |
35,869 | 24 | Title: Highly connected dynamic artificial neural networks
Abstract: An object-oriented approach to implementing artificial neural networks is introduced in this article. The networks obtained in this way are highly connected in that they admit edges between nodes in any layers of the network, and dynamic, in that the ... | [
33605
] | Train |
35,870 | 30 | Title: Quantization-Aware and Tensor-Compressed Training of Transformers for Natural Language Understanding
Abstract: Fine-tuned transformer models have shown superior performances in many natural language tasks. However, the large model size prohibits deploying high-performance transformer models on resource-constrain... | [] | Train |
35,871 | 27 | Title: Modular Self-Lock Origami: design, modeling, and simulation to improve the performance of a rotational joint
Abstract: Origami structures have been widely explored in robotics due to their many potential advantages. Origami robots can be very compact, as well as cheap and efficient to produce. In particular, the... | [] | Train |
35,872 | 10 | Title: Calibrated Explanations: with Uncertainty Information and Counterfactuals
Abstract: Artificial Intelligence (AI) has become an integral part of decision support systems (DSSs) in various domains, but the lack of transparency in the predictive models used in AI-based DSSs can lead to misuse or disuse. Explainable... | [
3953
] | Validation |
35,873 | 24 | Title: Learning to Extrapolate: A Transductive Approach
Abstract: Machine learning systems, especially with overparameterized deep neural networks, can generalize to novel test instances drawn from the same distribution as the training data. However, they fare poorly when evaluated on out-of-support test points. In thi... | [
20497
] | Train |
35,874 | 10 | Title: A Succinct Summary of Reinforcement Learning
Abstract: This document is a concise summary of many key results in single-agent reinforcement learning (RL). The intended audience are those who already have some familiarity with RL and are looking to review, reference and/or remind themselves of important ideas in ... | [] | Train |
35,875 | 16 | Title: Raw or Cooked? Object Detection on RAW Images
Abstract: Images fed to a deep neural network have in general undergone several handcrafted image signal processing (ISP) operations, all of which have been optimized to produce visually pleasing images. In this work, we investigate the hypothesis that the intermedia... | [
32995
] | Train |
35,876 | 28 | Title: On the Boomerang Spectrum of Power Permutation $X^{2^{3n}+2^{2n}+2^{n}-1}$ over $\GF{2^{4n}}$ and Extraction of Optimal Uniformity Boomerang Functions
Abstract: A substitution box (S-box) in a symmetric primitive is a mapping $F$ that takes $k$ binary inputs and whose image is a binary $m$-tuple for some positiv... | [] | Test |
35,877 | 16 | Title: Multi-modal Multi-level Fusion for 3D Single Object Tracking
Abstract: 3D single object tracking plays a crucial role in computer vision. Mainstream methods mainly rely on point clouds to achieve geometry matching between target template and search area. However, textureless and incomplete point clouds make it d... | [] | Validation |
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