node_id int64 0 76.9k | label int64 0 39 | text stringlengths 13 124k | neighbors listlengths 0 3.32k | mask stringclasses 4
values |
|---|---|---|---|---|
29,278 | 16 | Title: Deep Graph Reprogramming
Abstract: In this paper, we explore a novel model reusing task tailored for graph neural networks (GNNs), termed as “deep graph reprogramming”. We strive to reprogram a pretrained GNN, without amending raw node features nor model parameters, to handle a bunch of cross-level downstream ta... | [
37443,
21069,
13855
] | Validation |
29,279 | 24 | Title: LambdaBeam: Neural Program Search with Higher-Order Functions and Lambdas
Abstract: Search is an important technique in program synthesis that allows for adaptive strategies such as focusing on particular search directions based on execution results. Several prior works have demonstrated that neural models are e... | [] | Train |
29,280 | 24 | Title: On the Adversarial Robustness of Multi-Modal Foundation Models
Abstract: Multi-modal foundation models combining vision and language models such as Flamingo or GPT-4 have recently gained enormous interest. Alignment of foundation models is used to prevent models from providing toxic or harmful output. While mali... | [
39840,
37987,
13700,
8294,
17295,
41328,
41104,
28575
] | Train |
29,281 | 24 | Title: Graph Neural Networks with Learnable and Optimal Polynomial Bases
Abstract: Polynomial filters, a kind of Graph Neural Networks, typically use a predetermined polynomial basis and learn the coefficients from the training data. It has been observed that the effectiveness of the model is highly dependent on the pr... | [] | Train |
29,282 | 16 | Title: ICON2: Reliably Benchmarking Predictive Inequity in Object Detection
Abstract: As computer vision systems are being increasingly deployed at scale in high-stakes applications like autonomous driving, concerns about social bias in these systems are rising. Analysis of fairness in real-world vision systems, such a... | [
27863
] | Train |
29,283 | 10 | Title: AttentionMixer: An Accurate and Interpretable Framework for Process Monitoring
Abstract: An accurate and explainable automatic monitoring system is critical for the safety of high efficiency energy conversion plants that operate under extreme working condition. Nonetheless, currently available data-driven monito... | [
43365
] | Train |
29,284 | 24 | Title: Satellite Anomaly Detection Using Variance Based Genetic Ensemble of Neural Networks
Abstract: In this paper, we use a variance-based genetic ensemble (VGE) of Neural Networks (NNs) to detect anomalies in the satellite's historical data. We use an efficient ensemble of the predictions from multiple Recurrent Neu... | [] | Train |
29,285 | 30 | Title: Towards Enriched Controllability for Educational Question Generation
Abstract: nan | [] | Test |
29,286 | 27 | Title: Group Dynamics: Survey of Existing Multimodal Models and Considerations for Social Mediation
Abstract: Social mediator robots facilitate human-human interactions by producing behavior strategies that positively influence how humans interact with each other in social settings. As robots for social mediation gain ... | [] | Train |
29,287 | 30 | Title: ERNIE 3.0 Tiny: Frustratingly Simple Method to Improve Task-Agnostic Distillation Generalization
Abstract: Task-agnostic knowledge distillation attempts to address the problem of deploying large pretrained language model in resource-constrained scenarios by compressing a large pretrained model called teacher int... | [
8594
] | Validation |
29,288 | 16 | Title: Objective Evaluation-based High-efficiency Learning Framework for Hyperspectral Image Classification
Abstract: Deep learning methods have been successfully applied to hyperspectral image (HSI) classification with remarkable performance. Because of limited labelled HSI data, earlier studies primarily adopted a pa... | [] | Train |
29,289 | 3 | Title: Social Metaverse: Challenges and Solutions
Abstract: Social metaverse is a shared digital space combining a series of interconnected virtual worlds for users to play, shop, work, and socialize. In parallel with the advances of artificial intelligence (AI) and growing awareness of data privacy concerns, federated... | [
37211
] | Train |
29,290 | 24 | Title: Norm-based Generalization Bounds for Compositionally Sparse Neural Networks
Abstract: In this paper, we investigate the Rademacher complexity of deep sparse neural networks, where each neuron receives a small number of inputs. We prove generalization bounds for multilayered sparse ReLU neural networks, including... | [
7140,
31151
] | Train |
29,291 | 28 | Title: Embracing Errors is More Efficient than Avoiding Them through Constrained Coding for DNA Data Storage
Abstract: DNA is an attractive medium for digital data storage. When data is stored on DNA, errors occur, which makes error-correcting coding techniques critical for reliable DNA data storage. To reduce the numb... | [] | Validation |
29,292 | 24 | Title: Koopman neural operator as a mesh-free solver of non-linear partial differential equations
Abstract: The lacking of analytic solutions of diverse partial differential equations (PDEs) gives birth to series of computational techniques for numerical solutions. In machine learning, numerous latest advances of solve... | [
1275,
9348,
12157
] | Train |
29,293 | 30 | Title: Bi-Phone: Modeling Inter Language Phonetic Influences in Text
Abstract: A large number of people are forced to use the Web in a language they have low literacy in due to technology asymmetries. Written text in the second language (L2) from such users often contains a large number of errors that are influenced by... | [] | Train |
29,294 | 24 | Title: UPREVE: An End-to-End Causal Discovery Benchmarking System
Abstract: Discovering causal relationships in complex socio-behavioral systems is challenging but essential for informed decision-making. We present Upload, PREprocess, Visualize, and Evaluate (UPREVE), a user-friendly web-based graphical user interface ... | [
45076
] | Train |
29,295 | 16 | Title: FreeDrag: Point Tracking is Not What You Need for Interactive Point-based Image Editing
Abstract: To serve the intricate and varied demands of image editing, precise and flexible manipulation of image content is indispensable. Recently, DragGAN has achieved impressive editing results through point-based manipula... | [
15258,
30638,
16103
] | Validation |
29,296 | 24 | Title: Conservative Physics-Informed Neural Networks for Non-Conservative Hyperbolic Conservation Laws Near Critical States
Abstract: In this paper, a modified version of conservative Physics-informed Neural Networks (cPINN for short) is provided to construct the weak solutions of Riemann problem for the hyperbolic sca... | [] | Test |
29,297 | 28 | Title: Unsupervised Learning for Pilot-free Transmission in 3GPP MIMO Systems
Abstract: Reference signals overhead reduction has recently evolved as an effective solution for improving the system spectral efficiency. This paper introduces a new downlink data structure that is free from demodulation reference signals (D... | [] | Validation |
29,298 | 5 | Title: HEAT: A Highly Efficient and Affordable Training System for Collaborative Filtering Based Recommendation on CPUs
Abstract: Collaborative filtering (CF) has been proven to be one of the most effective techniques for recommendation. Among all CF approaches, SimpleX is the state-of-the-art method that adopts a nove... | [] | Train |
29,299 | 24 | Title: Towards More Realistic Membership Inference Attacks on Large Diffusion Models
Abstract: Generative diffusion models, including Stable Diffusion and Midjourney, can generate visually appealing, diverse, and high-resolution images for various applications. These models are trained on billions of internet-sourced i... | [
45104,
3548
] | Train |
29,300 | 27 | Title: FlexDelta: A flexure-based fully decoupled parallel xyz positioning stage with long stroke
Abstract: Decoupled parallel $xyz$ positioning stages with large stroke have been desired in high-speed and precise positioning fields. However, currently such stages are either short in stroke or unqualified in parasitic ... | [] | Train |
29,301 | 10 | Title: Counterfactual Monotonic Knowledge Tracing for Assessing Students' Dynamic Mastery of Knowledge Concepts
Abstract: As the core of the Knowledge Tracking (KT) task, assessing students' dynamic mastery of knowledge concepts is crucial for both offline teaching and online educational applications. Since students' m... | [] | Train |
29,302 | 16 | Title: PRISE: Demystifying Deep Lucas-Kanade with Strongly Star-Convex Constraints for Multimodel Image Alignment
Abstract: The Lucas-Kanade (LK) method is a classic iterative homography estimation algorithm for image alignment, but often suffers from poor local optimality especially when image pairs have large distort... | [] | Validation |
29,303 | 24 | Title: Pure Exploration under Mediators' Feedback
Abstract: Stochastic multi-armed bandits are a sequential-decision-making framework, where, at each interaction step, the learner selects an arm and observes a stochastic reward. Within the context of best-arm identification (BAI) problems, the goal of the agent lies in... | [
26474,
30091
] | Train |
29,304 | 2 | Title: Flipper games for monadically stable graph classes
Abstract: A class of graphs $\mathscr{C}$ is monadically stable if for any unary expansion $\widehat{\mathscr{C}}$ of $\mathscr{C}$, one cannot interpret, in first-order logic, arbitrarily long linear orders in graphs from $\widehat{\mathscr{C}}$. It is known th... | [
30984,
763
] | Validation |
29,305 | 4 | Title: Efficient Query-Based Attack against ML-Based Android Malware Detection under Zero Knowledge Setting
Abstract: The widespread adoption of the Android operating system has made malicious Android applications an appealing target for attackers. Machine learning-based (ML-based) Android malware detection (AMD) metho... | [
42317
] | Validation |
29,306 | 18 | Title: Empirical study on the efficiency of Spiking Neural Networks with axonal delays, and algorithm-hardware benchmarking
Abstract: The role of axonal synaptic delays in the efficacy and performance of artificial neural networks has been largely unexplored. In step-based analog-valued neural network models (ANNs), th... | [
3264
] | Validation |
29,307 | 16 | Title: CA2: Class-Agnostic Adaptive Feature Adaptation for One-class Classification
Abstract: One-class classification (OCC), i.e., identifying whether an example belongs to the same distribution as the training data, is essential for deploying machine learning models in the real world. Adapting the pre-trained feature... | [
45363
] | Train |
29,308 | 24 | Title: Online simulator-based experimental design for cognitive model selection
Abstract: The problem of model selection with a limited number of experimental trials has received considerable attention in cognitive science, where the role of experiments is to discriminate between theories expressed as computational mod... | [] | Train |
29,309 | 34 | Title: Fast Private Kernel Density Estimation via Locality Sensitive Quantization
Abstract: We study efficient mechanisms for differentially private kernel density estimation (DP-KDE). Prior work for the Gaussian kernel described algorithms that run in time exponential in the number of dimensions $d$. This paper breaks... | [] | Train |
29,310 | 24 | Title: Data-Driven Inverse Reinforcement Learning for Expert-Learner Zero-Sum Games
Abstract: In this paper, we formulate inverse reinforcement learning (IRL) as an expert-learner interaction whereby the optimal performance intent of an expert or target agent is unknown to a learner agent. The learner observes the stat... | [] | Train |
29,311 | 16 | Title: Multimodal Prompting with Missing Modalities for Visual Recognition
Abstract: In this paper, we tackle two challenges in multimodal learning for visual recognition: 1) when missing-modality occurs either during training or testing in real-world situations; and 2) when the computation resources are not available ... | [
45616,
18995,
38135,
17375
] | Validation |
29,312 | 24 | Title: Hawkes Processes with Delayed Granger Causality
Abstract: We aim to explicitly model the delayed Granger causal effects based on multivariate Hawkes processes. The idea is inspired by the fact that a causal event usually takes some time to exert an effect. Studying this time lag itself is of interest. Given the ... | [] | Train |
29,313 | 3 | Title: Challenges of Blockchain Applications in Digital Health: A Systematic Review
Abstract: Digital health, an emerging field integrating digital technologies into healthcare, is rapidly evolving and holds the potential to transform medical practices. Blockchain technology has garnered significant attention as a pote... | [] | Train |
29,314 | 16 | Title: Unsupervised 3D out-of-distribution detection with latent diffusion models
Abstract: Methods for out-of-distribution (OOD) detection that scale to 3D data are crucial components of any real-world clinical deep learning system. Classic denoising diffusion probabilistic models (DDPMs) have been recently proposed a... | [
10872
] | Train |
29,315 | 28 | Title: Timely Processing Of Updates From Multiple Sources
Abstract: We consider a system where the updates from independent sources are disseminated via a publish-subscribe mechanism. The sources are the publishers and a decision process (DP), acting as a subscriber, derives decision updates from the source data. We de... | [
26696,
14678
] | Train |
29,316 | 24 | Title: Deep hybrid model with satellite imagery: how to combine demand modeling and computer vision for behavior analysis?
Abstract: Classical demand modeling analyzes travel behavior using only low-dimensional numeric data (i.e. sociodemographics and travel attributes) but not high-dimensional urban imagery. However, ... | [] | Train |
29,317 | 24 | Title: RepoFusion: Training Code Models to Understand Your Repository
Abstract: Despite the huge success of Large Language Models (LLMs) in coding assistants like GitHub Copilot, these models struggle to understand the context present in the repository (e.g., imports, parent classes, files with similar names, etc.), th... | [
34208,
32450,
14869,
11190
] | Train |
29,318 | 3 | Title: Exploring EFL students' prompt engineering in human-AI story writing: an Activity Theory perspective
Abstract: This study applies Activity Theory to investigate how English as a foreign language (EFL) students prompt generative artificial intelligence (AI) tools during short story writing. Sixty-seven Hong Kong ... | [
43566
] | Train |
29,319 | 16 | Title: Deep Single Image Camera Calibration by Heatmap Regression to Recover Fisheye Images Under ManhattanWorld AssumptionWithout Ambiguity
Abstract: In orthogonal world coordinates, a Manhattan world lying along cuboid buildings is widely useful for various computer vision tasks. However, the Manhattan world has much... | [] | Train |
29,320 | 6 | Title: Extended-XRI Body Interfaces for Hyper-Connected Metaverse Environments
Abstract: Hybrid mixed-reality (XR) internet-of-things (IoT) research, here called XRI, aims at a strong integration between physical and virtual objects, environments, and agents wherein IoT -enabled edge devices are deployed for sensing, c... | [
5277,
43926
] | Train |
29,321 | 24 | Title: Graph Positional and Structural Encoder
Abstract: Positional and structural encodings (PSE) enable better identifiability of nodes within a graph, as in general graphs lack a canonical node ordering. This renders PSEs essential tools for empowering modern GNNs, and in particular graph Transformers. However, desi... | [] | Train |
29,322 | 24 | Title: CoRL: Environment Creation and Management Focused on System Integration
Abstract: Existing reinforcement learning environment libraries use monolithic environment classes, provide shallow methods for altering agent observation and action spaces, and/or are tied to a specific simulation environment. The Core Rein... | [
29885
] | Train |
29,323 | 24 | Title: Efficient Learning of Discrete-Continuous Computation Graphs
Abstract: Numerous models for supervised and reinforcement learning benefit from combinations of discrete and continuous model components. End-to-end learnable discrete-continuous models are compositional, tend to generalize better, and are more interp... | [
21391
] | Train |
29,324 | 16 | Title: Jointly Visual- and Semantic-Aware Graph Memory Networks for Temporal Sentence Localization in Videos
Abstract: Temporal sentence localization in videos (TSLV) aims to retrieve the most interested segment in an untrimmed video according to a given sentence query. However, almost of existing TSLV approaches suffe... | [
8534,
474,
1054
] | Train |
29,325 | 24 | Title: Constructing Bayesian Pseudo-Coresets using Contrastive Divergence
Abstract: Bayesian Pseudo-Coreset (BPC) and Dataset Condensation are two parallel streams of work that construct a synthetic set such that, a model trained independently on this synthetic set, yields the same performance as training on the origin... | [
30072,
13855
] | Train |
29,326 | 5 | Title: HiQ - A Declarative, Non-intrusive, Dynamic and Transparent Observability and Optimization System
Abstract: This paper proposes a non-intrusive, declarative, dynamic and transparent system called `HiQ` to track Python program runtime information without compromising on the run-time system performance and losing ... | [] | Train |
29,327 | 8 | Title: Entanglement Distribution in Satellite-based Dynamic Quantum Networks
Abstract: Low Earth Orbit (LEO) satellites present a compelling opportunity for the establishment of a global quantum information network. However, satellite-based entanglement distribution from a networking perspective has not been fully inve... | [
42859
] | Validation |
29,328 | 30 | Title: Towards Autoformalization of Mathematics and Code Correctness: Experiments with Elementary Proofs
Abstract: The ever-growing complexity of mathematical proofs makes their manual verification by mathematicians very cognitively demanding. Autoformalization seeks to address this by translating proofs written in nat... | [
15572
] | Train |
29,329 | 24 | Title: GIMLET: A Unified Graph-Text Model for Instruction-Based Molecule Zero-Shot Learning
Abstract: Molecule property prediction has gained significant attention in recent years. The main bottleneck is the label insufficiency caused by expensive lab experiments. In order to alleviate this issue and to better leverage... | [
10624,
4089,
39697
] | Train |
29,330 | 1 | Title: Social Context-aware GCN for Video Character Search via Scene-prior Enhancement
Abstract: With the increasing demand for intelligent services of online video platforms, video character search task has attracted wide attention to support downstream applications like fine-grained retrieval and summarization. Howev... | [] | Train |
29,331 | 6 | Title: Error-related Potential Variability: Exploring the Effects on Classification and Transferability
Abstract: Brain-Computer Interfaces (BCI) have allowed for direct communication from the brain to external applications for the automatic detection of cognitive processes such as error recognition. Error-related pote... | [] | Train |
29,332 | 16 | Title: Detection of Mild Cognitive Impairment Using Facial Features in Video Conversations
Abstract: Early detection of Mild Cognitive Impairment (MCI) leads to early interventions to slow the progression from MCI into dementia. Deep Learning (DL) algorithms could help achieve early non-invasive, low-cost detection of ... | [] | Train |
29,333 | 24 | Title: Detecting Adversarial Directions in Deep Reinforcement Learning to Make Robust Decisions
Abstract: Learning in MDPs with highly complex state representations is currently possible due to multiple advancements in reinforcement learning algorithm design. However, this incline in complexity, and furthermore the inc... | [
20918
] | Train |
29,334 | 6 | Title: Development of an Immersive Virtual Colonoscopy Viewer for Colon Growths Diagnosis
Abstract: Desktop-based virtual colonoscopy has been proven to be an asset in the identification of colon anomalies. The process is accurate, although time-consuming. The use of immersive interfaces for virtual colonoscopy is inci... | [] | Test |
29,335 | 24 | Title: A Unified Framework of Policy Learning for Contextual Bandit with Confounding Bias and Missing Observations
Abstract: We study the offline contextual bandit problem, where we aim to acquire an optimal policy using observational data. However, this data usually contains two deficiencies: (i) some variables that c... | [
31090
] | Train |
29,336 | 27 | Title: Distributed Planning for Rigid Robot Formations using Consensus on the Transformation of a Base Configuration
Abstract: This paper presents a novel planning method that achieves navigation of multi-robot formations in cluttered environments, while maintaining the formation throughout the robots motion. The metho... | [] | Train |
29,337 | 16 | Title: Connecting metrics for shape-texture knowledge in computer vision
Abstract: Modern artificial neural networks, including convolutional neural networks and vision transformers, have mastered several computer vision tasks, including object recognition. However, there are many significant differences between the beha... | [] | Validation |
29,338 | 36 | Title: Differential Game Analysis for Cooperation Models in Automotive Supply Chain under Low-Carbon Emission Reduction Policies
Abstract: In the context of reducing carbon emissions in the automotive supply chain, collaboration between vehicle manufacturers and retailers has proven to be an effective measure for enhan... | [] | Validation |
29,339 | 5 | Title: Towards Accelerating High-Order Stencils on Modern GPUs and Emerging Architectures with a Portable Framework
Abstract: PDE discretization schemes yielding stencil-like computing patterns are commonly used for seismic modeling, weather forecast, and other scientific applications. Achieving HPC-level stencil compu... | [
17010
] | Validation |
29,340 | 24 | Title: TrustGuard: GNN-based Robust and Explainable Trust Evaluation with Dynamicity Support
Abstract: Trust evaluation assesses trust relationships between entities and facilitates decision-making. Machine Learning (ML) shows great potential for trust evaluation owing to its learning capabilities. In recent years, Gra... | [
11125
] | Train |
29,341 | 6 | Title: Contestable Camera Cars: A Speculative Design Exploration of Public AI That Is Open and Responsive to Dispute
Abstract: Local governments increasingly use artificial intelligence (AI) for automated decision-making. Contestability, making systems responsive to dispute, is a way to ensure they respect human rights... | [
33967
] | Validation |
29,342 | 8 | Title: Distributed Learning Meets 6G: A Communication and Computing Perspective
Abstract: With the ever improving computing capabilities and storage capacities of mobile devices in line with evolving telecommunication network paradigms, there has been an explosion of research interest toward exploring distributed learn... | [
27774
] | Train |
29,343 | 36 | Title: Prophet Secretary Against the Online Optimal
Abstract: We study the prophet secretary problem, a well-studied variant of the classic prophet inequality, where values are drawn from independent known distributions but arrive in uniformly random order. Upon seeing a value at each step, the decision-maker has to ei... | [] | Train |
29,344 | 16 | Title: Boosting Weakly-Supervised Temporal Action Localization with Text Information
Abstract: Due to the lack of temporal annotation, current Weakly-supervised Temporal Action Localization (WTAL) methods are generally stuck into over-complete or incomplete localization. In this paper, we aim to leverage the text infor... | [] | Test |
29,345 | 17 | Title: Graphical modeling and animation of brittle fracture
Abstract: In this paper, we augment existing techniques for simulating flexible objects to include models for crack initiation and propagation in three-dimensional volumes. By analyzing the stress tensors computed over a finite element model, the simulation de... | [
7480,
44250,
25672,
16023
] | Test |
29,346 | 30 | Title: Reasoning Implicit Sentiment with Chain-of-Thought Prompting
Abstract: While sentiment analysis systems try to determine the sentiment polarities of given targets based on the key opinion expressions in input texts, in implicit sentiment analysis (ISA) the opinion cues come in an implicit and obscure manner. Thu... | [
4610,
16130,
2054,
39919,
5107,
35220,
34358,
8895
] | Train |
29,347 | 24 | Title: CatBoost Versus XGBoost and LightGBM: Developing Enhanced Predictive Models for Zero-Inflated Insurance Claim Data
Abstract: In the property and casualty insurance industry, some challenges are presented in constructing claim predictive models due to a highly right-skewed distribution of positive claims with exc... | [] | Validation |
29,348 | 16 | Title: About latent roles in forecasting players in team sports
Abstract: Forecasting players in sports has grown in popularity due to the potential for a tactical advantage and the applicability of such research to multi-agent interaction systems. Team sports contain a significant social component that influences inte... | [] | Train |
29,349 | 30 | Title: SEAHORSE: A Multilingual, Multifaceted Dataset for Summarization Evaluation
Abstract: Reliable automatic evaluation of summarization systems is challenging due to the multifaceted and subjective nature of the task. This is especially the case for languages other than English, where human evaluations are scarce. ... | [
39451,
44173
] | Train |
29,350 | 16 | Title: Asymmetric Patch Sampling for Contrastive Learning
Abstract: Asymmetric appearance between positive pair effectively reduces the risk of representation degradation in contrastive learning. However, there are still a mass of appearance similarities between positive pair constructed by the existing methods, which ... | [] | Train |
29,351 | 4 | Title: Reclaiming Privacy and Performance over Centralized DNS
Abstract: The Domain Name System (DNS) is both a key determinant of users' quality of experience (QoE) and privy to their tastes, preferences, and even the devices they own. Growing concern about user privacy and QoE has brought a number of alternative DNS ... | [] | Test |
29,352 | 15 | Title: Retrospective: EIE: Efficient Inference Engine on Sparse and Compressed Neural Network
Abstract: EIE proposed to accelerate pruned and compressed neural networks, exploiting weight sparsity, activation sparsity, and 4-bit weight-sharing in neural network accelerators. Since published in ISCA'16, it opened a new ... | [] | Validation |
29,353 | 30 | Title: Bio+Clinical BERT, BERT Base, and CNN Performance Comparison for Predicting Drug-Review Satisfaction
Abstract: The objective of this study is to develop natural language processing (NLP) models that can analyze patients' drug reviews and accurately classify their satisfaction levels as positive, neutral, or nega... | [] | Test |
29,354 | 16 | Title: Image Captions are Natural Prompts for Text-to-Image Models
Abstract: With the rapid development of Artificial Intelligence Generated Content (AIGC), it has become common practice in many learning tasks to train or fine-tune large models on synthetic data due to the data-scarcity and privacy leakage problems. Al... | [
10624,
9282,
33220,
14213,
31079,
105,
23188,
19573,
24951,
25368,
12764
] | Test |
29,355 | 4 | Title: SHATTER: Control and Defense-Aware Attack Analytics for Activity-Driven Smart Home Systems
Abstract: Modern smart home control systems utilize realtime occupancy and activity monitoring to ensure control efficiency, occupants' comfort, and optimal energy consumption. Moreover, adopting machine learning-based ano... | [] | Train |
29,356 | 5 | Title: Semantic Programming for Device-Edge-Cloud Continuum
Abstract: This position paper presents ThothSP, a Semantic Programming framework with the aim of lowering the coding effort in building smart applications on the Device-Edge-Cloud continuum by leveraging semantic knowledge. It introduces a novel neural-symboli... | [] | Test |
29,357 | 30 | Title: A Deep Natural Language Inference Predictor Without Language-Specific Training Data
Abstract: nan | [] | Train |
29,358 | 17 | Title: Meshing Deforming Spacetime for Visualization and Analysis
Abstract: We introduce a novel paradigm that simplifies the visualization and analysis of data that have a spatially/temporally varying frame of reference. The primary application driver is tokamak fusion plasma, where science variables (e.g., density an... | [] | Train |
29,359 | 4 | Title: Detecting Misuses of Security APIs: A Systematic Review
Abstract: Security Application Programming Interfaces (APIs) play a vital role in ensuring software security. However, misuse of security APIs may introduce vulnerabilities that can be exploited by hackers. API design complexities, inadequate documentation ... | [] | Train |
29,360 | 25 | Title: Improving Mandarin Prosodic Structure Prediction with Multi-level Contextual Information
Abstract: For text-to-speech (TTS) synthesis, prosodic structure prediction (PSP) plays an important role in producing natural and intelligible speech. Although inter-utterance linguistic information can influence the speech... | [] | Train |
29,361 | 28 | Title: Compression for Distributed Optimization and Timely Updates
Abstract: The goal of this thesis is to study the compression problems arising in distributed computing systematically. In the first part of the thesis, we study gradient compression for distributed first-order optimization. We begin by establishing inf... | [] | Test |
29,362 | 7 | Title: Circuit simulation using explicit methods: singular matrix issues
Abstract: Some aspects of the ELectrical EXplicit (ELEX) scheme for using explicit integration schemes in circuit simulation are discussed. It is pointed out that the parallel resistor approach, presented earlier to address singular matrix issues ... | [
9402
] | Validation |
29,363 | 16 | Title: Cross-CBAM: A Lightweight network for Scene Segmentation
Abstract: Scene parsing is a great challenge for real-time semantic segmentation. Although traditional semantic segmentation networks have made remarkable leap-forwards in semantic accuracy, the performance of inference speed is unsatisfactory. Meanwhile, ... | [] | Test |
29,364 | 16 | Title: Development of a Realistic Crowd Simulation Environment for Fine-Grained Validation of People Tracking Methods
Abstract: Generally, crowd datasets can be collected or generated from real or synthetic sources. Real data is generated by using infrastructure-based sensors (such as static cameras or other sensors). ... | [] | Train |
29,365 | 24 | Title: Attention Loss Adjusted Prioritized Experience Replay
Abstract: Prioritized Experience Replay (PER) is a technical means of deep reinforcement learning by selecting experience samples with more knowledge quantity to improve the training rate of neural network. However, the non-uniform sampling used in PER inevit... | [] | Validation |
29,366 | 24 | Title: Fast and Accurate Transferability Measurement by Evaluating Intra-class Feature Variance
Abstract: Given a set of pre-trained models, how can we quickly and accurately find the most useful pre-trained model for a downstream task? Transferability measurement is to quantify how transferable is a pre-trained model ... | [] | Train |
29,367 | 24 | Title: Dynamic ensemble selection based on Deep Neural Network Uncertainty Estimation for Adversarial Robustness
Abstract: The deep neural network has attained significant efficiency in image recognition. However, it has vulnerable recognition robustness under extensive data uncertainty in practical applications. The u... | [] | Train |
29,368 | 6 | Title: NeuroDAVIS: A neural network model for data visualization
Abstract: The task of dimensionality reduction and visualization of high-dimensional datasets remains a challenging problem since long. Modern high-throughput technologies produce newer high-dimensional datasets having multiple views with relatively new d... | [] | Validation |
29,369 | 4 | Title: ScalOTA: Scalable Secure Over-the-Air Software Updates for Vehicles
Abstract: Over-the-Air (OTA) software updates are becoming essential for electric/electronic vehicle architectures in order to reduce recalls amid the increasing software bugs and vulnerabilities. Current OTA update architectures rely heavily on... | [] | Train |
29,370 | 16 | Title: Adapting Classifiers To Changing Class Priors During Deployment
Abstract: Conventional classifiers are trained and evaluated using balanced data sets in which all classes are equally present. Classifiers are now trained on large data sets such as ImageNet, and are now able to classify hundreds (if not thousands)... | [] | Train |
29,371 | 16 | Title: Affine Correspondences Between Multi-camera Systems for 6DOF Relative Pose Estimation
Abstract: nan | [] | Validation |
29,372 | 24 | Title: Refined Regret for Adversarial MDPs with Linear Function Approximation
Abstract: We consider learning in an adversarial Markov Decision Process (MDP) where the loss functions can change arbitrarily over $K$ episodes and the state space can be arbitrarily large. We assume that the Q-function of any policy is line... | [
41957,
4422,
5002,
18933,
6456
] | Train |
29,373 | 6 | Title: Option-Driven Design: Context, Tradeoffs, and Considerations for Accessibility
Abstract: In Option-Driven Design, users must interact with options and settings for systems to adapt to their needs. This approach places the burden on both the user and the system to make the interaction between user and system fit.... | [
44907
] | Test |
29,374 | 30 | Title: Modular Transformers: Compressing Transformers into Modularized Layers for Flexible Efficient Inference
Abstract: Pre-trained Transformer models like T5 and BART have advanced the state of the art on a wide range of text generation tasks. Compressing these models into smaller ones has become critically important... | [] | Train |
29,375 | 30 | Title: Pythia: A Suite for Analyzing Large Language Models Across Training and Scaling
Abstract: How do large language models (LLMs) develop and evolve over the course of training? How do these patterns change as models scale? To answer these questions, we introduce \textit{Pythia}, a suite of 16 LLMs all trained on pu... | [
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2197,
32410,
16028,
18079,
33439,
45729,
9381,
39079,
31912,
5815,
9927,
21706,
12500,
45275,
2787,
... | Validation |
29,376 | 18 | Title: P2LSG: Powers-of-2 Low-Discrepancy Sequence Generator for Stochastic Computing
Abstract: Stochastic Computing (SC) is an unconventional computing paradigm processing data in the form of random bit-streams. The accuracy and energy efficiency of SC systems highly depend on the stochastic number generator (SNG) uni... | [
636
] | Train |
29,377 | 16 | Title: One-Step Detection Paradigm for Hyperspectral Anomaly Detection via Spectral Deviation Relationship Learning
Abstract: Hyperspectral anomaly detection (HAD) involves identifying the targets that deviate spectrally from their surroundings, without prior knowledge. Recently, deep learning based methods have become... | [] | Train |
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