node_id int64 0 76.9k | label int64 0 39 | text stringlengths 13 124k | neighbors listlengths 0 3.32k | mask stringclasses 4
values |
|---|---|---|---|---|
38,578 | 15 | Title: Fifty Years of ISCA: A data-driven retrospective on key trends
Abstract: Computer Architecture, broadly, involves optimizing hardware and software for current and future processing systems. Although there are several other top venues to publish Computer Architecture research, including ASPLOS, HPCA, and MICRO, I... | [] | Test |
38,579 | 16 | Title: Region-Aware Diffusion for Zero-shot Text-driven Image Editing
Abstract: Image manipulation under the guidance of textual descriptions has recently received a broad range of attention. In this study, we focus on the regional editing of images with the guidance of given text prompts. Different from current mask-b... | [
20852,
34522,
34074,
1836
] | Train |
38,580 | 24 | Title: Neural Attention Memory
Abstract: We propose a novel perspective of the attention mechanism by reinventing it as a memory architecture for neural networks, namely Neural Attention Memory (NAM). NAM is a memory structure that is both readable and writable via differentiable linear algebra operations. We explore t... | [] | Test |
38,581 | 24 | Title: Reinforcement Learning With Non-Cumulative Objective
Abstract: In reinforcement learning, the objective is almost always defined as a cumulative function over the rewards along the process. However, there are many optimal control and reinforcement learning problems in various application fields, especially in co... | [] | Train |
38,582 | 24 | Title: On the Consistency and Robustness of Saliency Explanations for Time Series Classification
Abstract: Interpretable machine learning and explainable artificial intelligence have become essential in many applications. The trade-off between interpretability and model performance is the traitor to developing intrinsi... | [] | Validation |
38,583 | 16 | Title: Augmenting Deep Learning Adaptation for Wearable Sensor Data through Combined Temporal-Frequency Image Encoding
Abstract: Deep learning advancements have revolutionized scalable classification in many domains including computer vision. However, when it comes to wearable-based classification and domain adaptation... | [] | Train |
38,584 | 31 | Title: Mitigating Mainstream Bias in Recommendation via Cost-sensitive Learning
Abstract: Mainstream bias, where some users receive poor recommendations because their preferences are uncommon or simply because they are less active, is an important aspect to consider regarding fairness in recommender systems. Existing m... | [] | Train |
38,585 | 25 | Title: A study of audio mixing methods for piano transcription in violin-piano ensembles
Abstract: While piano music transcription models have shown high performance for solo piano recordings, their performance degrades when applied to ensemble recordings. This study aims to analyze the impact of different data augment... | [] | Train |
38,586 | 16 | Title: Associating Spatially-Consistent Grouping with Text-supervised Semantic Segmentation
Abstract: In this work, we investigate performing semantic segmentation solely through the training on image-sentence pairs. Due to the lack of dense annotations, existing text-supervised methods can only learn to group an image... | [] | Validation |
38,587 | 24 | Title: Feudal Graph Reinforcement Learning
Abstract: We focus on learning composable policies to control a variety of physical agents with possibly different structures. Among state-of-the-art methods, prominent approaches exploit graph-based representations and weight-sharing modular policies based on the message-pass... | [] | Test |
38,588 | 24 | Title: Preserving Fairness in AI under Domain Shift
Abstract: Existing algorithms for ensuring fairness in AI use a single-shot training strategy, where an AI model is trained on an annotated training dataset with sensitive attributes and then fielded for utilization. This training strategy is effective in problems with... | [] | Test |
38,589 | 11 | Title: Multi-agent Distributed Model Predictive Control with Connectivity Constraint
Abstract: In cooperative multi-agent robotic systems, coordination is necessary in order to complete a given task. Important examples include search and rescue, operations in hazardous environments, and environmental monitoring. Coordi... | [] | Train |
38,590 | 28 | Title: Introduction to Arithmetic Coding - Theory and Practice
Abstract: entropy coding, compression, complexity This introduction to arithmetic coding is divided in two parts. The first explains how and why arithmetic coding works. We start presenting it in very general terms, so that its simplicity is not lost under ... | [] | Validation |
38,591 | 16 | Title: Making Reconstruction-based Method Great Again for Video Anomaly Detection
Abstract: Anomaly detection in videos is a significant yet challenging problem. Previous approaches based on deep neural networks employ either reconstruction-based or prediction-based approaches. Nevertheless, existing reconstruction-bas... | [] | Validation |
38,592 | 24 | Title: A distributed neural network architecture for dynamic sensor selection with application to bandwidth-constrained body-sensor networks
Abstract: We propose a dynamic sensor selection approach for deep neural networks (DNNs), which is able to derive an optimal sensor subset selection for each specific input sample... | [
25969
] | Train |
38,593 | 10 | Title: AI For Fraud Awareness
Abstract: In today's world, with the rise of numerous social platforms, it has become relatively easy for anyone to spread false information and lure people into traps. Fraudulent schemes and traps are growing rapidly in the investment world. Due to this, countries and individuals face hug... | [] | Train |
38,594 | 16 | Title: Semi-MAE: Masked Autoencoders for Semi-supervised Vision Transformers
Abstract: Vision Transformer (ViT) suffers from data scarcity in semi-supervised learning (SSL). To alleviate this issue, inspired by masked autoencoder (MAE), which is a data-efficient self-supervised learner, we propose Semi-MAE, a pure ViT-... | [] | Test |
38,595 | 16 | Title: DeepMerge: Deep Learning-Based Region-Merging for Image Segmentation
Abstract: Accurate segmentation of large areas from very high spatial-resolution (VHR) remote sensing imagery remains a challenging issue in image analysis. Existing supervised and unsupervised methods both suffer from the large variance of obj... | [] | Validation |
38,596 | 10 | Title: Eloss in the way: A Sensitive Input Quality Metrics for Intelligent Driving
Abstract: With the increasing complexity of the traffic environment, the importance of safety perception in intelligent driving is growing. Conventional methods in the robust perception of intelligent driving focus on training models wit... | [] | Train |
38,597 | 30 | Title: SimpleMTOD: A Simple Language Model for Multimodal Task-Oriented Dialogue with Symbolic Scene Representation
Abstract: SimpleMTOD is a simple language model which recasts several sub-tasks in multimodal task-oriented dialogues as sequence prediction tasks. SimpleMTOD is built on a large-scale transformer-based a... | [] | Train |
38,598 | 4 | Title: Does Physical Adversarial Example Really Matter to Autonomous Driving? Towards System-Level Effect of Adversarial Object Evasion Attack
Abstract: In autonomous driving (AD), accurate perception is indispensable to achieving safe and secure driving. Due to its safety-criticality, the security of AD perception has... | [
16289
] | Train |
38,599 | 10 | Title: Unjustified Sample Sizes and Generalizations in Explainable AI Research: Principles for More Inclusive User Studies
Abstract: Many ethical frameworks require artificial intelligence (AI) systems to be explainable. Explainable AI (XAI) models are frequently tested for their adequacy in user studies. Since differe... | [] | Train |
38,600 | 23 | Title: Leveraging Data Mining Algorithms to Recommend Source Code Changes
Abstract: Context: Recent research has used data mining to develop techniques that can guide developers through source code changes. To the best of our knowledge, very few studies have investigated data mining techniques and--or compared their re... | [] | Validation |
38,601 | 6 | Title: PalmGazer: Unimanual Eye-hand Menus in Augmented Reality
Abstract: How can we design the user interfaces for augmented reality (AR) so that we can interact as simple, flexible and expressive as we can with smartphones in one hand? To explore this question, we propose PalmGazer as an interaction concept integrati... | [] | Train |
38,602 | 24 | Title: Conditionally Invariant Representation Learning for Disentangling Cellular Heterogeneity
Abstract: This paper presents a novel approach that leverages domain variability to learn representations that are conditionally invariant to unwanted variability or distractors. Our approach identifies both spurious and inv... | [] | Test |
38,603 | 8 | Title: Architecture and Applications of IoT Devices in Socially Relevant Fields
Abstract: Number of IoT enabled devices are being tried and introduced every year and there is a healthy competition among researched and businesses to capitalize the space created by IoT, as these devices have a great market potential. Dep... | [] | Train |
38,604 | 16 | Title: Revisiting Scene Text Recognition: A Data Perspective
Abstract: This paper aims to re-assess scene text recognition (STR) from a data-oriented perspective. We begin by revisiting the six commonly used benchmarks in STR and observe a trend of performance saturation, whereby only 2.91% of the benchmark images cann... | [] | Validation |
38,605 | 2 | Title: Outcome Separation Logic: Local Reasoning for Correctness and Incorrectness with Computational Effects
Abstract: Separation logic's compositionality and local reasoning properties have led to significant advances in scalable static analysis. But program analysis has new challenges--many programs display computat... | [
30615,
26169,
25450,
11279
] | Test |
38,606 | 24 | Title: Conformalization of Sparse Generalized Linear Models
Abstract: Given a sequence of observable variables $\{(x_1, y_1), \ldots, (x_n, y_n)\}$, the conformal prediction method estimates a confidence set for $y_{n+1}$ given $x_{n+1}$ that is valid for any finite sample size by merely assuming that the joint distrib... | [
19440
] | Train |
38,607 | 21 | Title: Development of an Autonomous Reverse Engineering Capability for Controller Area Network Messages to Support Autonomous Control Retrofits
Abstract: As the autonomous vehicle industry continues to grow, various companies are exploring the use of aftermarket kits to retrofit existing vehicles with semi-autonomous c... | [] | Test |
38,608 | 16 | Title: Inferring and Leveraging Parts from Object Shape for Improving Semantic Image Synthesis
Abstract: Despite the progress in semantic image synthesis, it remains a challenging problem to generate photo-realistic parts from input semantic map. Integrating part segmentation map can undoubtedly benefit image synthesis... | [] | Train |
38,609 | 36 | Title: Group Fairness in Social Choice
Abstract: We consider a voting model, where a number of candidates need to be selected subject to certain feasibility constraints. The model generalises committee elections (where there is a single constraint on the number of candidates that need to be selected), various elections... | [] | Train |
38,610 | 24 | Title: Optimizing Irrigation Efficiency using Deep Reinforcement Learning in the Field
Abstract: Agricultural irrigation is a significant contributor to freshwater consumption. However, the current irrigation systems used in the field are not efficient. They rely mainly on soil moisture sensors and the experience of gr... | [] | Train |
38,611 | 16 | Title: Exploiting Diverse Feature for Multimodal Sentiment Analysis
Abstract: In this paper, we present our solution to the MuSe-Personalisation sub-challenge in the MuSe 2023 Multimodal Sentiment Analysis Challenge. The task of MuSe-Personalisation aims to predict the continuous arousal and valence values of a partici... | [
5029,
1574,
11120,
30461,
20734
] | Train |
38,612 | 16 | Title: Annotation-free Audio-Visual Segmentation
Abstract: The objective of Audio-Visual Segmentation (AVS) is to localise the sounding objects within visual scenes by accurately predicting pixel-wise segmentation masks. To tackle the task, it involves a comprehensive consideration of both the data and model aspects. I... | [
22808,
23266,
44707,
30825,
29807,
41008,
30385,
40497,
44854,
17335,
22424,
40921,
27866,
4443,
35805
] | Train |
38,613 | 26 | Title: Temporal Analysis of Misinformation on Parler
Abstract: Social media platforms have facilitated the rapid spread of dis- and mis-information. Parler, a US-based fringe social media platform that positions itself as a champion of free-speech, has had substantial information integrity issues. In this study, we see... | [] | Train |
38,614 | 16 | Title: Towards Building More Robust Models with Frequency Bias
Abstract: The vulnerability of deep neural networks to adversarial samples has been a major impediment to their broad applications, despite their success in various fields. Recently, some works suggested that adversarially-trained models emphasize the impor... | [] | Test |
38,615 | 23 | Title: Large Language Models and Simple, Stupid Bugs
Abstract: With the advent of powerful neural language models, AI-based systems to assist developers in coding tasks are becoming widely available; Copilot is one such system. Copilot uses Codex, a large language model (LLM), to complete code conditioned on a precedin... | [
9184,
13581,
42577,
44787,
26815
] | Train |
38,616 | 3 | Title: Exploring the Cognitive Dynamics of Artificial Intelligence in the Post-COVID-19 and Learning 3.0 Era: A Case Study of ChatGPT
Abstract: The emergence of artificial intelligence has incited a paradigm shift across the spectrum of human endeavors, with ChatGPT serving as a catalyst for the transformation of vario... | [
11273
] | Train |
38,617 | 30 | Title: CommonsenseVIS: Visualizing and Understanding Commonsense Reasoning Capabilities of Natural Language Models
Abstract: Recently, large pretrained language models have achieved compelling performance on commonsense benchmarks. Nevertheless, it is unclear what commonsense knowledge the models learn and whether they... | [
15482,
35427
] | Train |
38,618 | 17 | Title: Shape transformation using variational implicit functions
Abstract: Traditionally, shape transformation using implicit functions is performed in two distinct steps: 1) creating two implicit functions, and 2) interpolating between these two functions. We present a new shape transformation method that combines the... | [
31563
] | Train |
38,619 | 27 | Title: The e-Bike Motor Assembly: Towards Advanced Robotic Manipulation for Flexible Manufacturing
Abstract: Robotic manipulation is currently undergoing a profound paradigm shift due to the increasing needs for flexible manufacturing systems, and at the same time, because of the advances in enabling technologies such ... | [] | Test |
38,620 | 30 | Title: Lay Text Summarisation Using Natural Language Processing: A Narrative Literature Review
Abstract: Summarisation of research results in plain language is crucial for promoting public understanding of research findings. The use of Natural Language Processing to generate lay summaries has the potential to relieve r... | [
3143
] | Train |
38,621 | 24 | Title: M3Fair: Mitigating Bias in Healthcare Data through Multi-Level and Multi-Sensitive-Attribute Reweighting Method
Abstract: In the data-driven artificial intelligence paradigm, models heavily rely on large amounts of training data. However, factors like sampling distribution imbalance can lead to issues of bias an... | [] | Train |
38,622 | 16 | Title: APLA: Additional Perturbation for Latent Noise with Adversarial Training Enables Consistency
Abstract: Diffusion models have exhibited promising progress in video generation. However, they often struggle to retain consistent details within local regions across frames. One underlying cause is that traditional dif... | [
10624,
34074
] | Train |
38,623 | 24 | Title: A rule-general abductive learning by rough sets
Abstract: In real-world tasks, there is usually a large amount of unlabeled data and labeled data. The task of combining the two to learn is known as semi-supervised learning. Experts can use logical rules to label unlabeled data, but this operation is costly. The ... | [] | Validation |
38,624 | 16 | Title: You've Got Two Teachers: Co-evolutionary Image and Report Distillation for Semi-supervised Anatomical Abnormality Detection in Chest X-ray
Abstract: Chest X-ray (CXR) anatomical abnormality detection aims at localizing and characterising cardiopulmonary radiological findings in the radiographs, which can expedit... | [] | Train |
38,625 | 4 | Title: Efficiency-Improved Inter-Rollup Transfer System Leveraging Batch Settlement Methods
Abstract: As the significance of blockchain innovation grows and the focus on scalability intensifies, rollup technology has emerged as a promising approach to tackle these scalability concerns. Nonetheless, rollups encounter re... | [] | Train |
38,626 | 16 | Title: DPAF: Image Synthesis via Differentially Private Aggregation in Forward Phase
Abstract: Differentially private synthetic data is a promising alternative for sensitive data release. Many differentially private generative models have been proposed in the literature. Unfortunately, they all suffer from the low util... | [] | Train |
38,627 | 34 | Title: Efficient Distributed Decomposition and Routing Algorithms in Minor-Free Networks and Their Applications
Abstract: In the LOCAL model of distributed computing, low-diameter decomposition is an extremely useful tool in designing algorithms, as it allows us to shift from the general graph setting to the low-diamet... | [
4729
] | Train |
38,628 | 24 | Title: On the Usefulness of Synthetic Tabular Data Generation
Abstract: Despite recent advances in synthetic data generation, the scientific community still lacks a unified consensus on its usefulness. It is commonly believed that synthetic data can be used for both data exchange and boosting machine learning (ML) trai... | [
23540
] | Validation |
38,629 | 24 | Title: HyFL: A Hybrid Framework For Private Federated Learning
Abstract: Federated learning (FL) has emerged as an efficient approach for large-scale distributed machine learning, ensuring data privacy by keeping training data on client devices. However, recent research has highlighted vulnerabilities in FL, including ... | [
25090
] | Train |
38,630 | 16 | Title: Parallax-Tolerant Unsupervised Deep Image Stitching
Abstract: Traditional image stitching approaches tend to leverage increasingly complex geometric features (point, line, edge, etc.) for better performance. However, these hand-crafted features are only suitable for specific natural scenes with adequate geometri... | [] | Train |
38,631 | 28 | Title: Age of Gossip on Generalized Rings
Abstract: We consider a gossip network consisting of a source forwarding updates and $n$ nodes placed geometrically in a ring formation. Each node gossips with $f(n)$ nodes on either side, thus communicating with $2f(n)$ nodes in total. $f(n)$ is a sub-linear, non-decreasing an... | [
22176,
40142
] | Train |
38,632 | 24 | Title: CoCo: A Coupled Contrastive Framework for Unsupervised Domain Adaptive Graph Classification
Abstract: Although graph neural networks (GNNs) have achieved impressive achievements in graph classification, they often need abundant task-specific labels, which could be extensively costly to acquire. A credible soluti... | [
21833,
42511
] | Train |
38,633 | 27 | Title: Using Collision Momentum in Deep Reinforcement Learning based Adversarial Pedestrian Modeling
Abstract: Recent research in pedestrian simulation often aims to develop realistic behaviors in various situations, but it is challenging for existing algorithms to generate behaviors that identify weaknesses in automat... | [] | Train |
38,634 | 24 | Title: Information decomposition to identify relevant variation in complex systems with machine learning
Abstract: One of the fundamental steps toward understanding a complex system is identifying variation at the scale of the system's components that is most relevant to behavior on a macroscopic scale. Mutual informat... | [] | Validation |
38,635 | 27 | Title: Self-Supervised Learning for Interactive Perception of Surgical Thread for Autonomous Suture Tail-Shortening
Abstract: Accurate 3D sensing of suturing thread is a challenging problem in automated surgical suturing because of the high state-space complexity, thinness and deformability of the thread, and possibili... | [
16085
] | Test |
38,636 | 16 | Title: An Efficient Transformer for Simultaneous Learning of BEV and Lane Representations in 3D Lane Detection
Abstract: Accurately detecting lane lines in 3D space is crucial for autonomous driving. Existing methods usually first transform image-view features into bird-eye-view (BEV) by aid of inverse perspective mapp... | [
13847
] | Train |
38,637 | 16 | Title: Meta Learning to Bridge Vision and Language Models for Multimodal Few-Shot Learning
Abstract: Multimodal few-shot learning is challenging due to the large domain gap between vision and language modalities. Existing methods are trying to communicate visual concepts as prompts to frozen language models, but rely o... | [
13438,
7732,
7982,
42231
] | Test |
38,638 | 35 | Title: FHPM: Fine-grained Huge Page Management For Virtualization
Abstract: As more data-intensive tasks with large footprints are deployed in virtual machines (VMs), huge pages are widely used to eliminate the increasing address translation overhead. However, once the huge page mapping is established, all the base pag... | [] | Validation |
38,639 | 6 | Title: Recentering Validity Considerations through Early-Stage Deliberations Around AI and Policy Design
Abstract: AI-based decision-making tools are rapidly spreading across a range of real-world, complex domains like healthcare, criminal justice, and child welfare. A growing body of research has called for increased ... | [] | Train |
38,640 | 24 | Title: Spatio-temporal neural structural causal models for bike flow prediction
Abstract: As a representative of public transportation, the fundamental issue of managing bike-sharing systems is bike flow prediction. Recent methods overemphasize the spatio-temporal correlations in the data, ignoring the effects of conte... | [
35597
] | Train |
38,641 | 9 | Title: Geometric Barriers for Stable and Online Algorithms for Discrepancy Minimization
Abstract: For many computational problems involving randomness, intricate geometric features of the solution space have been used to rigorously rule out powerful classes of algorithms. This is often accomplished through the lens of ... | [
38973
] | Train |
38,642 | 30 | Title: Word Sense Disambiguation as a Game of Neurosymbolic Darts
Abstract: Word Sense Disambiguation (WSD) is one of the hardest tasks in natural language understanding and knowledge engineering. The glass ceiling of 80% F1 score is recently achieved through supervised deep-learning, enriched by a variety of knowledge... | [] | Validation |
38,643 | 24 | Title: Learning Latent Dynamics via Invariant Decomposition and (Spatio-)Temporal Transformers
Abstract: We propose a method for learning dynamical systems from high-dimensional empirical data that combines variational autoencoders and (spatio-)temporal attention within a framework designed to enforce certain scientifi... | [] | Train |
38,644 | 1 | Title: TranSTYLer: Multimodal Behavioral Style Transfer for Facial and Body Gestures Generation
Abstract: This paper addresses the challenge of transferring the behavior expressivity style of a virtual agent to another one while preserving behaviors shape as they carry communicative meaning. Behavior expressivity style... | [] | Test |
38,645 | 20 | Title: A New Heuristic for Rectilinear Crossing Minimization
Abstract: A new heuristic for rectilinear crossing minimization is proposed. It is based on the idea of iteratively repositioning nodes after a first initial graph drawing. The new position of a node is computed by casting rays from the node towards graph edg... | [] | Train |
38,646 | 14 | Title: Isolating Bounded and Unbounded Real Roots of a Mixed Trigonometric-Polynomial
Abstract: Mixed trigonometric-polynomials (MTPs) are functions of the form f ( x, sin x, cos x ) with f ∈ Q [ x 1 , x 2 , x 3 ]. In this paper, an algorithm “isolating” all the real roots of an MTP is provided and implemented. It auto... | [] | Validation |
38,647 | 16 | Title: Why is the Winner the Best?
Abstract: International benchmarking competitions have become fundamental for the comparative performance assessment of image analysis methods. However, little attention has been given to investigating what can be learnt from these competitions. Do they really generate scientific prog... | [
25181
] | Train |
38,648 | 24 | Title: Fully Variational Noise-Contrastive Estimation
Abstract: By using the underlying theory of proper scoring rules, we design a family of noise-contrastive estimation (NCE) methods that are tractable for latent variable models. Both terms in the underlying NCE loss, the one using data samples and the one using nois... | [] | Train |
38,649 | 24 | Title: Leveraging Learning Metrics for Improved Federated Learning
Abstract: Currently in the federated setting, no learning schemes leverage the emerging research of explainable artificial intelligence (XAI) in particular the novel learning metrics that help determine how well a model is learning. One of these novel l... | [] | Validation |
38,650 | 26 | Title: Estimating Temporal Trends using Indirect Surveys
Abstract: Indirect surveys, in which respondents provide information about other people they know, have been proposed for scenarios where privacy is important or where the population to be surveyed is hard to reach. As an example, during various stages of the COV... | [] | Train |
38,651 | 37 | Title: Space-Time Tradeoffs for Conjunctive Queries with Access Patterns
Abstract: In this paper, we investigate space-time tradeoffs for answering conjunctive queries with access patterns (CQAPs). The goal is to create a space-efficient data structure in an initial preprocessing phase and use it for answering (multipl... | [
34600
] | Train |
38,652 | 4 | Title: Knowledge Gain as Privacy Loss in Local Differential Privacy Accounting
Abstract: This paper establishes the equivalence between Local Differential Privacy (LDP) and a global limit on learning any knowledge about an object. However, an output from an LDP query is not necessarily required to provide exact amount ... | [] | Train |
38,653 | 10 | Title: Model-free Motion Planning of Autonomous Agents for Complex Tasks in Partially Observable Environments
Abstract: Motion planning of autonomous agents in partially known environments with incomplete information is a challenging problem, particularly for complex tasks. This paper proposes a model-free reinforcemen... | [] | Validation |
38,654 | 16 | Title: Pixel-wise Graph Attention Networks for Person Re-identification
Abstract: Graph convolutional networks (GCN) is widely used to handle irregular data since it updates node features by using the structure information of graph. With the help of iterated GCN, high-order information can be obtained to further enhanc... | [] | Train |
38,655 | 16 | Title: DAGrid: Directed Accumulator Grid
Abstract: Recent research highlights that the Directed Accumulator (DA), through its parametrization of geometric priors into neural networks, has notably improved the performance of medical image recognition, particularly with small and imbalanced datasets. However, DA's potent... | [] | Test |
38,656 | 24 | Title: Multi-Objective Optimization of Performance and Interpretability of Tabular Supervised Machine Learning Models
Abstract: We present a model-agnostic framework for jointly optimizing the predictive performance and interpretability of supervised machine learning models for tabular data. Interpretability is quantif... | [] | Validation |
38,657 | 16 | Title: Multi-label Video Classification for Underwater Ship Inspection
Abstract: Today ship hull inspection including the examination of the external coating, detection of defects, and other types of external degradation such as corrosion and marine growth is conducted underwater by means of Remotely Operated Vehicles ... | [] | Train |
38,658 | 31 | Title: Personalized Category Frequency prediction for Buy It Again recommendations
Abstract: Buy It Again (BIA) recommendations are crucial to retailers to help improve user experience and site engagement by suggesting items that customers are likely to buy again based on their own repeat purchasing patterns. Most exis... | [] | Train |
38,659 | 8 | Title: Bandwidth Optimal Pipeline Schedule for Collective Communication
Abstract: We present a strongly polynomial-time algorithm to generate bandwidth optimal allgather/reduce-scatter on any network topology, with or without switches. Our algorithm constructs pipeline schedules achieving provably the best possible ban... | [
37929,
5191
] | Validation |
38,660 | 16 | Title: Language-based Action Concept Spaces Improve Video Self-Supervised Learning
Abstract: Recent contrastive language image pre-training has led to learning highly transferable and robust image representations. However, adapting these models to video domains with minimal supervision remains an open problem. We explo... | [] | Validation |
38,661 | 23 | Title: FGo: A Directed Grey-box Fuzzer with Probabilistic Exponential cut-the-loss Strategies
Abstract: Traditional coverage grey-box fuzzers perform a breadth-first search of the state space of Program Under Test (PUT). This aimlessness wastes a lot of computing resources. Directed grey-box fuzzing focuses on the targ... | [] | Validation |
38,662 | 24 | Title: Regularized Weight Aggregation in Networked Federated Learning for Glioblastoma Segmentation
Abstract: . In federated learning (FL), the global model at the server requires an efficient mechanism for weight aggregation and a systematic strategy for collaboration selection to manage and optimize communication paylo... | [] | Train |
38,663 | 24 | Title: Multiplierless In-filter Computing for tinyML Platforms
Abstract: Wildlife conservation using continuous monitoring of environmental factors and biomedical classification, which generate a vast amount of sensor data, is a challenge due to limited bandwidth in the case of remote monitoring. It becomes critical to... | [] | Train |
38,664 | 24 | Title: Addressing caveats of neural persistence with deep graph persistence
Abstract: Neural Persistence is a prominent measure for quantifying neural network complexity, proposed in the emerging field of topological data analysis in deep learning. In this work, however, we find both theoretically and empirically that ... | [
9194,
21134
] | Validation |
38,665 | 17 | Title: LaplacianFusion
Abstract: We propose LaplacianFusion, a novel approach that reconstructs detailed and controllable 3D clothed-human body shapes from an input depth or 3D point cloud sequence. The key idea of our approach is to use Laplacian coordinates, well-known differential coordinates that have been used for... | [
13532,
28655
] | Train |
38,666 | 6 | Title: Revitalizing Endangered Languages: AI-powered language learning as a catalyst for language appreciation
Abstract: According to UNESCO, there are nearly 7,000 languages spoken worldwide, of which around 3,000 languages are in danger of disappearing before the end of the century. With roughly 230 languages having ... | [] | Train |
38,667 | 15 | Title: Best Memory Architecture Exploration under Parameters Variations accelerated with Machine Learning
Abstract: The design of effective memory architecture is of utmost importance in modern computing systems. However, the design of memory subsystems is even more difficult today because process variation and modern ... | [] | Train |
38,668 | 16 | Title: Both Spatial and Frequency Cues Contribute to High-Fidelity Image Inpainting
Abstract: Deep generative approaches have obtained great success in image inpainting recently. However, most generative inpainting networks suffer from either over-smooth results or aliasing artifacts. The former lacks high-frequency de... | [] | Train |
38,669 | 30 | Title: Exploring the Impact of Layer Normalization for Zero-shot Neural Machine Translation
Abstract: This paper studies the impact of layer normalization (LayerNorm) on zero-shot translation (ZST). Recent efforts for ZST often utilize the Transformer architecture as the backbone, with LayerNorm at the input of layers ... | [] | Test |
38,670 | 16 | Title: NeRT: Implicit Neural Representations for General Unsupervised Turbulence Mitigation
Abstract: The atmospheric and water turbulence mitigation problems have emerged as challenging inverse problems in computer vision and optics communities over the years. However, current methods either rely heavily on the qualit... | [] | Test |
38,671 | 10 | Title: Practical Algorithms for Orientations of Partially Directed Graphical Models
Abstract: In observational studies, the true causal model is typically unknown and needs to be estimated from available observational and limited experimental data. In such cases, the learned causal model is commonly represented as a pa... | [] | Train |
38,672 | 16 | Title: Ultrafast-and-Ultralight ConvNet-Based Intelligent Monitoring System for Diagnosing Early-Stage Mpox Anytime and Anywhere
Abstract: Due to the lack of more efficient diagnostic tools for monkeypox, its spread remains unchecked, presenting a formidable challenge to global health. While the high efficacy of deep l... | [
3163
] | Validation |
38,673 | 31 | Title: A Comprehensive Survey on Automatic Knowledge Graph Construction
Abstract: Automatic knowledge graph construction aims to manufacture structured human knowledge. To this end, much effort has historically been spent extracting informative fact patterns from different data sources. However, more recently, research... | [
38235,
31215
] | Validation |
38,674 | 16 | Title: Learning Differential Invariants of Planar Curves
Abstract: We propose a learning paradigm for the numerical approximation of differential invariants of planar curves. Deep neural-networks' (DNNs) universal approximation properties are utilized to estimate geometric measures. The proposed framework is shown to b... | [] | Train |
38,675 | 23 | Title: Revisiting File Context for Source Code Summarization
Abstract: Source code summarization is the task of writing natural language descriptions of source code. A typical use case is generating short summaries of subroutines for use in API documentation. The heart of almost all current research into code summariza... | [
13700,
11671
] | Train |
38,676 | 24 | Title: Optimized Three Deep Learning Models Based-PSO Hyperparameters for Beijing PM2.5 Prediction
Abstract: Deep learning is a machine learning approach that produces excellent performance in various applications, including natural language processing, image identification, and forecasting. Deep learning network perfo... | [] | Validation |
38,677 | 6 | Title: Investigating Effects of Perceived Technology-enhanced Environment on Self-regulated Learning: Beyond P-values
Abstract: This study examined the effects of a technology-enhanced intervention on the self-regulation of 262 eighth-grade students, employing information and communication technology (ICT) and web-base... | [] | Train |
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