node_id int64 0 76.9k | label int64 0 39 | text stringlengths 13 124k | neighbors listlengths 0 3.32k | mask stringclasses 4
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|---|---|---|---|---|
18,078 | 16 | Title: A Certified Radius-Guided Attack Framework to Image Segmentation Models
Abstract: Image segmentation is an important problem in many safety-critical applications such as medical imaging and autonomous driving. Recent studies show that modern image segmentation models are vulnerable to adversarial perturbations, ... | [
6493
] | Train |
18,079 | 10 | Title: Imaginations of WALL-E : Reconstructing Experiences with an Imagination-Inspired Module for Advanced AI Systems
Abstract: In this paper, we introduce a novel Artificial Intelligence (AI) system inspired by the philosophical and psychoanalytical concept of imagination as a ``Re-construction of Experiences". Our A... | [
5283,
13700,
42983,
2347,
41104,
13564,
8509,
29375
] | Train |
18,080 | 16 | Title: Smart Pressure e-Mat for Human Sleeping Posture and Dynamic Activity Recognition
Abstract: With the emphasis on healthcare, early childhood education, and fitness, non-invasive measurement and recognition methods have received more attention. Pressure sensing has been extensively studied due to its advantages of... | [
42930,
17218
] | Test |
18,081 | 15 | Title: Flexagon: A Multi-dataflow Sparse-Sparse Matrix Multiplication Accelerator for Efficient DNN Processing
Abstract: Sparsity is a growing trend in modern DNN models. Existing Sparse-Sparse Matrix Multiplication (SpMSpM) accelerators are tailored to a particular SpMSpM dataflow (i.e., Inner Product, Outer Product o... | [
16146
] | Train |
18,082 | 27 | Title: Design and Control of a Bio-inspired Wheeled Bipedal Robot
Abstract: Wheeled bipedal robots have the capability to execute agile and versatile locomotion tasks in unknown terrains, with balancing being a key criteria in evaluating their dynamic performance. This paper focuses on enhancing the balancing performan... | [] | Train |
18,083 | 30 | Title: Multilingual End to End Entity Linking
Abstract: Entity Linking is one of the most common Natural Language Processing tasks in practical applications, but so far efficient end-to-end solutions with multilingual coverage have been lacking, leading to complex model stacks. To fill this gap, we release and open sou... | [] | Validation |
18,084 | 24 | Title: Resilient Sparse Array Radar with the Aid of Deep Learning
Abstract: In this paper, we address the problem of direction of arrival (DOA) estimation for multiple targets in the presence of sensor failures in a sparse array. Generally, sparse arrays are known with very high-resolution capabilities, where N physica... | [] | Train |
18,085 | 24 | Title: Can Large Language Models Empower Molecular Property Prediction?
Abstract: Molecular property prediction has gained significant attention due to its transformative potential in multiple scientific disciplines. Conventionally, a molecule graph can be represented either as a graph-structured data or a SMILES text.... | [
40192,
33220,
18117,
43051,
45455,
31375,
30131,
23805,
6942
] | Train |
18,086 | 24 | Title: A Novel Noise Injection-based Training Scheme for Better Model Robustness
Abstract: Noise injection-based method has been shown to be able to improve the robustness of artificial neural networks in previous work. In this work, we propose a novel noise injection-based training scheme for better model robustness. ... | [] | Validation |
18,087 | 4 | Title: Defending SDN against packet injection attacks using deep learning
Abstract: The (logically) centralised architecture of the software-defined networks makes them an easy target for packet injection attacks. In these attacks, the attacker injects malicious packets into the SDN network to affect the services and p... | [] | Test |
18,088 | 8 | Title: Towards Mobility Management with Multi-Objective Bayesian Optimization
Abstract: One of the consequences of network densification is more frequent handovers (HO). HO failures have a direct impact on the quality of service and are undesirable, especially in scenarios with strict latency, reliability, and robustne... | [
32007
] | Validation |
18,089 | 27 | Title: Mainline Automatic Train Horn and Brake Performance Metric
Abstract: This paper argues for the introduction of a mainline rail-oriented performance metric for driver-replacing on-board perception systems. Perception at the head of a train is divided into several subfunctions. This article presents a preliminary ... | [] | Validation |
18,090 | 16 | Title: Exploring Numerical Priors for Low-Rank Tensor Completion with Generalized CP Decomposition
Abstract: Tensor completion is important to many areas such as computer vision, data analysis, and signal processing. Enforcing low-rank structures on completed tensors, a category of methods known as low-rank tensor comp... | [] | Train |
18,091 | 30 | Title: UFO: Unified Fact Obtaining for Commonsense Question Answering
Abstract: Leveraging external knowledge to enhance the reasoning ability is crucial for commonsense question answering. However, the existing knowledge bases heavily rely on manual annotation which unavoidably causes deficiency in coverage of world-w... | [] | Train |
18,092 | 31 | Title: CPMR: Context-Aware Incremental Sequential Recommendation with Pseudo-Multi-Task Learning
Abstract: The motivations of users to make interactions can be divided into static preference and dynamic interest. To accurately model user representations over time, recent studies in sequential recommendation utilize inf... | [] | Validation |
18,093 | 24 | Title: Scaling and Resizing Symmetry in Feedforward Networks
Abstract: Weights initialization in deep neural networks have a strong impact on the speed of converge of the learning map. Recent studies have shown that in the case of random initializations, a chaos/order phase transition occur in the space of variances of... | [] | Train |
18,094 | 16 | Title: Visual Privacy: Current and Emerging Regulations Around Unconsented Video Analytics in Retail
Abstract: Video analytics is the practice of combining digital video data with machine learning models to infer various characteristics from that video. This capability has been used for years to detect objects, movemen... | [] | Train |
18,095 | 16 | Title: Reveal to Revise: An Explainable AI Life Cycle for Iterative Bias Correction of Deep Models
Abstract: State-of-the-art machine learning models often learn spurious correlations embedded in the training data. This poses risks when deploying these models for high-stake decision-making, such as in medical applicati... | [
23400,
30116,
45660
] | Train |
18,096 | 30 | Title: Exploring Methods for Building Dialects-Mandarin Code-Mixing Corpora: A Case Study in Taiwanese Hokkien
Abstract: In natural language processing (NLP), code-mixing (CM) is a challenging task, especially when the mixed languages include dialects. In Southeast Asian countries such as Singapore, Indonesia, and Mala... | [] | Train |
18,097 | 38 | Title: Young Male and Female Scientists: A Quantitative Exploratory Study of the Changing Demographics of the Global Scientific Workforce
Abstract: In this study, the global scientific workforce is explored through a large-scale, generational, and longitudinal approach. We examine 4.3 million nonoccasional scientists f... | [] | Train |
18,098 | 16 | Title: Detecting Neighborhood Gentrification at Scale via Street-level Visual Data
Abstract: Neighborhood gentrification plays a significant role in shaping the social and economic well-being of both individuals and communities at large. While some efforts have been made to detect gentrification in cities, existing app... | [] | Test |
18,099 | 10 | Title: Capturing (Optimal) Relaxed Plans with Stable and Supported Models of Logic Programs
Abstract:
We establish a novel relation between delete-free planning, an important task for the AI planning community also known as relaxed planning, and logic programming. We show that given a planning problem, all subsets of... | [] | Train |
18,100 | 30 | Title: Evaluation of AI Chatbots for Patient-Specific EHR Questions
Abstract: This paper investigates the use of artificial intelligence chatbots for patient-specific question answering (QA) from clinical notes using several large language model (LLM) based systems: ChatGPT (versions 3.5 and 4), Google Bard, and Claude... | [
40192,
12602
] | Validation |
18,101 | 4 | Title: FeDiSa: A Semi-asynchronous Federated Learning Framework for Power System Fault and Cyberattack Discrimination
Abstract: With growing security and privacy concerns in the Smart Grid domain, intrusion detection on critical energy infrastructure has become a high priority in recent years. To remedy the challenges ... | [] | Test |
18,102 | 27 | Title: UIVNAV: Underwater Information-driven Vision-based Navigation via Imitation Learning
Abstract: Autonomous navigation in the underwater environment is challenging due to limited visibility, dynamic changes, and the lack of a cost-efficient accurate localization system. We introduce UIVNav, a novel end-to-end unde... | [] | Train |
18,103 | 16 | Title: Recurrence With Correlation Network for Medical Image Registration
Abstract: We present Recurrence with Correlation Network (RWCNet), a medical image registration network with multi-scale features and a cost volume layer. We demonstrate that these architectural features improve medical image registration accurac... | [] | Train |
18,104 | 27 | Title: Disturbance Estimation for High-Degree-of-Freedom Euler-Lagrangian Systems Using Sliding Mode Observer without Matching Conditions
Abstract: This paper proposes a novel observer-based disturbance estimation method for high degree-of-freedom Euler-Lagrangian systems using an unknown input-output (UIO) sliding mod... | [] | Validation |
18,105 | 30 | Title: Scientific Fact-Checking: A Survey of Resources and Approaches
Abstract: The task of fact-checking deals with assessing the veracity of factual claims based on credible evidence and background knowledge. In particular, scientific fact-checking is the variation of the task concerned with verifying claims rooted i... | [
9586,
23602
] | Test |
18,106 | 26 | Title: Swinging in the States: Does disinformation on Twitter mirror the US presidential election system?
Abstract: For more than a decade scholars have been investigating the disinformation flow on social media contextually to societal events, like, e.g., elections. In this paper, we analyze the Twitter traffic relate... | [] | Train |
18,107 | 16 | Title: VINECS: Video-based Neural Character Skinning
Abstract: Rigging and skinning clothed human avatars is a challenging task and traditionally requires a lot of manual work and expertise. Recent methods addressing it either generalize across different characters or focus on capturing the dynamics of a single charact... | [] | Test |
18,108 | 16 | Title: Complex Facial Expression Recognition Using Deep Knowledge Distillation of Basic Features
Abstract: Complex emotion recognition is a cognitive task that has so far eluded the same excellent performance of other tasks that are at or above the level of human cognition. Emotion recognition through facial expression... | [] | Test |
18,109 | 23 | Title: Where to Look When Repairing Code? Comparing the Attention of Neural Models and Developers
Abstract: Neural network-based techniques for automated program repair are becoming increasingly effective. Despite their success, little is known about why they succeed or fail, and how their way of reasoning about the co... | [
25227
] | Test |
18,110 | 16 | Title: Neural Video Depth Stabilizer
Abstract: Video depth estimation aims to infer temporally consistent depth. Some methods achieve temporal consistency by finetuning a single-image depth model during test time using geometry and re-projection constraints, which is inefficient and not robust. An alternative approach ... | [
27441,
9013,
19943
] | Train |
18,111 | 24 | Title: Diverse Policies Converge in Reward-free Markov Decision Processe
Abstract: Reinforcement learning has achieved great success in many decision-making tasks, and traditional reinforcement learning algorithms are mainly designed for obtaining a single optimal solution. However, recent works show the importance of ... | [] | Train |
18,112 | 16 | Title: Segment Anything in High Quality
Abstract: The recent Segment Anything Model (SAM) represents a big leap in scaling up segmentation models, allowing for powerful zero-shot capabilities and flexible prompting. Despite being trained with 1.1 billion masks, SAM's mask prediction quality falls short in many cases, p... | [
8896,
12704,
17633,
22627,
44931,
42599,
14504,
32423,
23818,
27144,
1228,
13876,
31225,
30526,
35263
] | Train |
18,113 | 7 | Title: Uncertainty Quantification in the Road-level Traffic Risk Prediction by Spatial-Temporal Zero-Inflated Negative Binomial Graph Neural Network(STZINB-GNN)
Abstract: Urban road-based risk prediction is a crucial yet challenging aspect of research in transportation safety. While most existing studies emphasize accu... | [] | Train |
18,114 | 31 | Title: Topic-Level Bayesian Surprise and Serendipity for Recommender Systems
Abstract: A recommender system that optimizes its recommendations solely to fit a user’s history of ratings for consumed items can create a filter bubble, wherein the user does not get to experience items from novel, unseen categories. One app... | [
35003
] | Train |
18,115 | 16 | Title: Artificial Intelligence Generated Coins for Size Comparison
Abstract: Authors of scientific articles use coins in photographs as a size reference for objects. For this purpose, coins are placed next to objects when taking the photo. In this letter we propose a novel method that uses artificial intelligence (AI) ... | [] | Train |
18,116 | 24 | Title: Scalable Primal-Dual Actor-Critic Method for Safe Multi-Agent RL with General Utilities
Abstract: We investigate safe multi-agent reinforcement learning, where agents seek to collectively maximize an aggregate sum of local objectives while satisfying their own safety constraints. The objective and constraints ar... | [
15456,
28740
] | Train |
18,117 | 24 | Title: Explanations as Features: LLM-Based Features for Text-Attributed Graphs
Abstract: Representation learning on text-attributed graphs (TAGs) has become a critical research problem in recent years. A typical example of a TAG is a paper citation graph, where the text of each paper serves as node attributes. Most gra... | [
13700,
18085,
43718,
23398,
31375,
17299,
3352,
23805
] | Validation |
18,118 | 24 | Title: An Asymmetric Loss with Anomaly Detection LSTM Framework for Power Consumption Prediction
Abstract: Building an accurate load forecasting model with minimal underpredictions is vital to prevent any undesired power outages due to underproduction of electricity. However, the power consumption patterns of the resid... | [] | Train |
18,119 | 27 | Title: A Surrogate Model Framework for Explainable Autonomous Behaviour
Abstract: Adoption and deployment of robotic and autonomous systems in industry are currently hindered by the lack of transparency, required for safety and accountability. Methods for providing explanations are needed that are agnostic to the under... | [
33220
] | Validation |
18,120 | 16 | Title: Affordance segmentation of hand-occluded containers from exocentric images
Abstract: Visual affordance segmentation identifies the surfaces of an object an agent can interact with. Common challenges for the identification of affordances are the variety of the geometry and physical properties of these surfaces as... | [] | Train |
18,121 | 30 | Title: MACO: A Modality Adversarial and Contrastive Framework for Modality-missing Multi-modal Knowledge Graph Completion
Abstract: Recent years have seen significant advancements in multi-modal knowledge graph completion (MMKGC). MMKGC enhances knowledge graph completion (KGC) by integrating multi-modal entity informa... | [
7941
] | Train |
18,122 | 34 | Title: Massively Parallel Algorithms for High-Dimensional Euclidean Minimum Spanning Tree
Abstract: We study the classic Euclidean Minimum Spanning Tree (MST) problem in the Massively Parallel Computation (MPC) model. Given a set $X \subset \mathbb{R}^d$ of $n$ points, the goal is to produce a spanning tree for $X$ wit... | [] | Train |
18,123 | 24 | Title: Improved Stability and Generalization Analysis of the Decentralized SGD Algorithm
Abstract: This paper presents a new generalization error analysis for the Decentralized Stochastic Gradient Descent (D-SGD) algorithm based on algorithmic stability. The obtained results largely improve upon state-of-the-art result... | [] | Validation |
18,124 | 27 | Title: Learning Sequential Acquisition Policies for Robot-Assisted Feeding
Abstract: A robot providing mealtime assistance must perform specialized maneuvers with various utensils in order to pick up and feed a range of food items. Beyond these dexterous low-level skills, an assistive robot must also plan these strateg... | [] | Validation |
18,125 | 16 | Title: A two-way translation system of Chinese sign language based on computer vision
Abstract: As the main means of communication for deaf people, sign language has a special grammatical order, so it is meaningful and valuable to develop a real-time translation system for sign language. In the research process, we add... | [] | Train |
18,126 | 28 | Title: On the Coverage of Cognitive mmWave Networks with Directional Sensing and Communication
Abstract: Millimeter-waves' propagation characteristics create prospects for spatial and temporal spectrum sharing in a variety of contexts, including cognitive spectrum sharing (CSS). However, CSS along with omnidirectional ... | [] | Train |
18,127 | 23 | Title: Reliability Assurance for Deep Neural Network Architectures Against Numerical Defects
Abstract: With the widespread deployment of deep neural networks (DNNs), ensuring the reliability of DNN-based systems is of great importance. Serious reliability issues such as system failures can be caused by numerical defect... | [
9643
] | Train |
18,128 | 28 | Title: NOMA for STAR-RIS Assisted UAV Networks
Abstract: This paper proposes a novel simultaneously transmitting and reflecting reconfigurable intelligent surface (STAR-RIS) assisted unmanned aerial vehicle (UAV) non-orthogonal multiple access (NOMA) emergency communication network. Multiple STAR-RISs are deployed to p... | [] | Test |
18,129 | 16 | Title: DD-GCN: Directed Diffusion Graph Convolutional Network for Skeleton-based Human Action Recognition
Abstract: Graph Convolutional Networks (GCNs) have been widely used in skeleton-based human action recognition. In GCN-based methods, the spatio-temporal graph is fundamental for capturing motion patterns. However,... | [] | Test |
18,130 | 30 | Title: Machine Translation Impact in E-commerce Multilingual Search
Abstract: Previous work suggests that performance of cross-lingual information retrieval correlates highly with the quality of Machine Translation. However, there may be a threshold beyond which improving query translation quality yields little or no b... | [] | Train |
18,131 | 30 | Title: Learning from Partially Annotated Data: Example-aware Creation of Gap-filling Exercises for Language Learning
Abstract: Since performing exercises (including, e.g.,practice tests) forms a crucial component oflearning, and creating such exercises requiresnon-trivial effort from the teacher. There is agreat value ... | [
26775
] | Validation |
18,132 | 5 | Title: An Event-Driven Approach To Genotype Imputation On A Custom RISC-V FPGA Cluster
Abstract: This paper proposes an event-driven solution to genotype imputation, a technique used to statistically infer missing genetic markers in DNA. The work implements the widely accepted Li and Stephens model, primary contributor... | [] | Train |
18,133 | 18 | Title: Energy-efficient superparamagnetic Ising machine and its application to traveling salesman problems
Abstract: The growth of artificial intelligence and IoT has created a significant computational load for solving non-deterministic polynomial-time (NP)-hard problems, which are difficult to solve using conventiona... | [] | Test |
18,134 | 4 | Title: Protecting Language Generation Models via Invisible Watermarking
Abstract: Language generation models have been an increasingly powerful enabler for many applications. Many such models offer free or affordable API access, which makes them potentially vulnerable to model extraction attacks through distillation. T... | [
10723,
9508,
14499,
39438,
497,
25075,
20756,
35415,
24412,
28831
] | Validation |
18,135 | 27 | Title: Graph-based View Motion Planning for Fruit Detection
Abstract: Crop monitoring is crucial for maximizing agricultural productivity and efficiency. However, monitoring large and complex structures such as sweet pepper plants presents significant challenges, especially due to frequent occlusions of the fruits. Tra... | [] | Train |
18,136 | 16 | Title: Salient Mask-Guided Vision Transformer for Fine-Grained Classification
Abstract: Fine-grained visual classification (FGVC) is a challenging computer vision problem, where the task is to automatically recognise objects from subordinate categories. One of its main difficulties is capturing the most discriminative ... | [] | Train |
18,137 | 16 | Title: Resource Constrained Model Compression via Minimax Optimization for Spiking Neural Networks
Abstract: Brain-inspired Spiking Neural Networks (SNNs) have the characteristics of event-driven and high energy-efficient, which are different from traditional Artificial Neural Networks (ANNs) when deployed on edge devi... | [] | Train |
18,138 | 16 | Title: MultiPlaneNeRF: Neural Radiance Field with Non-Trainable Representation
Abstract: NeRF is a popular model that efficiently represents 3D objects from 2D images. However, vanilla NeRF has a few important limitations. NeRF must be trained on each object separately. The training time is long since we encode the obj... | [] | Train |
18,139 | 27 | Title: Autonomous Point Cloud Segmentation for Power Lines Inspection in Smart Grid
Abstract: LiDAR is currently one of the most utilized sensors to effectively monitor the status of power lines and facilitate the inspection of remote power distribution networks and related infrastructures. To ensure the safe operation... | [] | Test |
18,140 | 30 | Title: PersonaPKT: Building Personalized Dialogue Agents via Parameter-efficient Knowledge Transfer
Abstract: Personalized dialogue agents (DAs) powered by large pre-trained language models (PLMs) often rely on explicit persona descriptions to maintain personality consistency. However, such descriptions may not always ... | [] | Validation |
18,141 | 5 | Title: Taming Metadata-intensive HPC Jobs Through Dynamic, Application-agnostic QoS Control
Abstract: Modern I/O applications that run on HPC infrastructures are increasingly becoming read and metadata intensive. However, having multiple applications submitting large amounts of metadata operations can easily saturate t... | [] | Test |
18,142 | 30 | Title: Analyzing Dataset Annotation Quality Management in the Wild
Abstract: Data quality is crucial for training accurate, unbiased, and trustworthy machine learning models and their correct evaluation. Recent works, however, have shown that even popular datasets used to train and evaluate state-of-the-art models cont... | [] | Train |
18,143 | 16 | Title: ConTrack: Contextual Transformer for Device Tracking in X-ray
Abstract: Device tracking is an important prerequisite for guidance during endovascular procedures. Especially during cardiac interventions, detection and tracking of guiding the catheter tip in 2D fluoroscopic images is important for applications suc... | [] | Train |
18,144 | 16 | Title: FarSight: A Physics-Driven Whole-Body Biometric System at Large Distance and Altitude
Abstract: Whole-body biometric recognition is an important area of research due to its vast applications in law enforcement, border security, and surveillance. This paper presents the end-to-end design, development and evaluati... | [
34194
] | Validation |
18,145 | 27 | Title: Maximising Coefficiency of Human-Robot Handovers Through Reinforcement Learning
Abstract: Handing objects to humans is an essential capability for collaborative robots. Previous research works on human-robot handovers focus on facilitating the performance of the human partner and possibly minimising the physical... | [
10525
] | Validation |
18,146 | 23 | Title: An Empirical Study on Software Bill of Materials: Where We Stand and the Road Ahead
Abstract: The rapid growth of software supply chain attacks has attracted considerable attention to software bill of materials (SBOM). SBOMs are a crucial building block to ensure the transparency of software supply chains that h... | [
28536,
45585,
42155
] | Test |
18,147 | 24 | Title: Simplicity Bias in 1-Hidden Layer Neural Networks
Abstract: Recent works have demonstrated that neural networks exhibit extreme simplicity bias(SB). That is, they learn only the simplest features to solve a task at hand, even in the presence of other, more robust but more complex features. Due to the lack of a g... | [
3030,
30871
] | Train |
18,148 | 6 | Title: The Urban Toolkit: A Grammar-based Framework for Urban Visual Analytics
Abstract: While cities around the world are looking for smart ways to use new advances in data collection, management, and analysis to address their problems, the complex nature of urban issues and the overwhelming amount of available data h... | [
2995
] | Validation |
18,149 | 16 | Title: APBench: A Unified Benchmark for Availability Poisoning Attacks and Defenses
Abstract: The efficacy of availability poisoning, a method of poisoning data by injecting imperceptible perturbations to prevent its use in model training, has been a hot subject of investigation. Previous research suggested that it was... | [
28441,
12394,
31447
] | Train |
18,150 | 16 | Title: Picking Up Quantization Steps for Compressed Image Classification
Abstract: The sensitivity of deep neural networks to compressed images hinders their usage in many real applications, which means classification networks may fail just after taking a screenshot and saving it as a compressed file. In this paper, we... | [
27195
] | Train |
18,151 | 31 | Title: Reducing Popularity Bias in Recommender Systems through AUC-Optimal Negative Sampling
Abstract: Popularity bias is a persistent issue associated with recommendation systems, posing challenges to both fairness and efficiency. Existing literature widely acknowledges that reducing popularity bias often requires sac... | [
44977,
429
] | Train |
18,152 | 16 | Title: Long-range Multimodal Pretraining for Movie Understanding
Abstract: Learning computer vision models from (and for) movies has a long-standing history. While great progress has been attained, there is still a need for a pretrained multimodal model that can perform well in the ever-growing set of movie understandi... | [] | Test |
18,153 | 24 | Title: Fragment-based t-SMILES for de novo molecular generation
Abstract: At present, sequence-based and graph-based models are two of popular used molecular generative models. In this study, we introduce a general-purposed, fragment-based, hierarchical molecular representation named t-SMILES (tree-based SMILES) which ... | [] | Validation |
18,154 | 16 | Title: A Tensor-based Convolutional Neural Network for Small Dataset Classification
Abstract: Inspired by the ConvNets with structured hidden representations, we propose a Tensor-based Neural Network, TCNN. Different from ConvNets, TCNNs are composed of structured neurons rather than scalar neurons, and the basic opera... | [] | Train |
18,155 | 36 | Title: Phase Transitions of the Price-of-Anarchy Function in Multi-Commodity Routing Games
Abstract: We consider the behavior of the price of anarchy and equilibrium flows in nonatomic multi-commodity routing games as a function of the traffic demand. We analyze their smoothness with a special attention to specific val... | [
39585
] | Train |
18,156 | 16 | Title: Get the Best of Both Worlds: Improving Accuracy and Transferability by Grassmann Class Representation
Abstract: We generalize the class vectors found in neural networks to linear subspaces (i.e.~points in the Grassmann manifold) and show that the Grassmann Class Representation (GCR) enables the simultaneous impr... | [] | Validation |
18,157 | 4 | Title: Seeing is Believing: Detecting Sybil Attack in FANET by Matching Visual and Auditory Domains
Abstract: The flying ad hoc network (FANET) will play a crucial role in the B5G/6G era since it provides wide coverage and on-demand deployment services in a distributed manner. The detection of Sybil attacks is essentia... | [
13458
] | Train |
18,158 | 30 | Title: Causality-aware Concept Extraction based on Knowledge-guided Prompting
Abstract: Concepts benefit natural language understanding but are far from complete in existing knowledge graphs (KGs). Recently, pre-trained language models (PLMs) have been widely used in text-based concept extraction (CE). However, PLMs te... | [
709
] | Test |
18,159 | 27 | Title: Decentralized iLQR for Cooperative Trajectory Planning of Connected Autonomous Vehicles via Dual Consensus ADMM
Abstract: Developments in cooperative trajectory planning of connected autonomous vehicles (CAVs) have gathered considerable momentum and research attention. Generally, such problems present strong non... | [
1830
] | Validation |
18,160 | 24 | Title: Classes are not Clusters: Improving Label-based Evaluation of Dimensionality Reduction
Abstract: A common way to evaluate the reliability of dimensionality reduction (DR) embeddings is to quantify how well labeled classes form compact, mutually separated clusters in the embeddings. This approach is based on the ... | [] | Train |
18,161 | 34 | Title: Optimal Dynamic Subset Sampling: Theory and Applications
Abstract: We study the fundamental problem of sampling independent events, called subset sampling. Specifically, consider a set of n distinct events S=x1, …, xn, in which each event xi has an associated probability p(xi). The subset sampling problem aims t... | [
14703
] | Test |
18,162 | 24 | Title: Forecast reconciliation for vaccine supply chain optimization
Abstract: Vaccine supply chain optimization can benefit from hierarchical time series forecasting, when grouping the vaccines by type or location. However, forecasts of different hierarchy levels become incoherent when higher levels do not match the s... | [] | Train |
18,163 | 24 | Title: Accelerated Parallel MRI Using Memory Efficient and Robust Monotone Operator Learning (MOL)
Abstract: Model-based deep learning methods that combine imaging physics with learned regularization priors have been emerging as powerful tools for parallel MRI acceleration. The main focus of this paper is to determine ... | [] | Train |
18,164 | 30 | Title: Counterfactuals of Counterfactuals: a back-translation-inspired approach to analyse counterfactual editors
Abstract: In the wake of responsible AI, interpretability methods, which attempt to provide an explanation for the predictions of neural models have seen rapid progress. In this work, we are concerned with ... | [] | Test |
18,165 | 24 | Title: Safe MDP Planning by Learning Temporal Patterns of Undesirable Trajectories and Averting Negative Side Effects
Abstract: In safe MDP planning, a cost function based on the current state and action is often used to specify safety aspects. In real world, often the state representation used may lack sufficient fide... | [] | Train |
18,166 | 27 | Title: Visuo-Tactile-Based Slip Detection Using A Multi-Scale Temporal Convolution Network
Abstract: Humans can accurately determine whether the object in hand has slipped or not by visual and tactile perception. However, it is still a challenge for robots to detect in-hand object slip through visuo-tactile fusion. To ... | [] | Test |
18,167 | 23 | Title: Locating Buggy Segments in Quantum Program Debugging
Abstract: When a bug is detected by testing a quantum program on a quantum computer, we want to determine its detailed location to fix it. To locate the bug, the quantum program is divided into several segments and each segment is tested. However, to prepare a... | [
9712,
8042
] | Train |
18,168 | 16 | Title: BoDiffusion: Diffusing Sparse Observations for Full-Body Human Motion Synthesis
Abstract: Mixed reality applications require tracking the user's full-body motion to enable an immersive experience. However, typical head-mounted devices can only track head and hand movements, leading to a limited reconstruction of... | [] | Train |
18,169 | 13 | Title: LLMatic: Neural Architecture Search via Large Language Models and Quality-Diversity Optimization
Abstract: Large Language Models (LLMs) have emerged as powerful tools capable of accomplishing a broad spectrum of tasks. Their abilities span numerous areas, and one area where they have made a significant impact is... | [
2722,
1043,
31314,
19159
] | Train |
18,170 | 24 | Title: Quantum Machine Learning hyperparameter search
Abstract: This paper presents a quantum-based Fourier-regression approach for machine learning hyperparameter optimization applied to a benchmark of models trained on a dataset related to a forecast problem in the airline industry. Our approach utilizes the Fourier ... | [] | Train |
18,171 | 5 | Title: Accelerating Hybrid Federated Learning Convergence under Partial Participation
Abstract: Over the past few years, Federated Learning (FL) has become a popular distributed machine learning paradigm. FL involves a group of clients with decentralized data who collaborate to learn a common model under the coordinati... | [] | Test |
18,172 | 16 | Title: ISSTAD: Incremental Self-Supervised Learning Based on Transformer for Anomaly Detection and Localization
Abstract: In the realm of machine learning, the study of anomaly detection and localization within image data has gained substantial traction, particularly for practical applications such as industrial defect... | [] | Train |
18,173 | 5 | Title: Arbitrageurs' profits, LVR, and sandwich attacks: batch trading as an AMM design response
Abstract: We consider an automated market maker (AMM) in which all trades are batched and executed at a price equal to the marginal price (i.e., the price of an arbitrarily small trade) after the batch trades. We show that ... | [] | Train |
18,174 | 16 | Title: LVLane: Deep Learning for Lane Detection and Classification in Challenging Conditions
Abstract: Lane detection plays a pivotal role in the field of autonomous vehicles and advanced driving assistant systems (ADAS). Despite advances from image processing to deep learning based models, algorithm performance is hig... | [] | Train |
18,175 | 16 | Title: StableVideo: Text-driven Consistency-aware Diffusion Video Editing
Abstract: Diffusion-based methods can generate realistic images and videos, but they struggle to edit existing objects in a video while preserving their appearance over time. This prevents diffusion models from being applied to natural video edit... | [
42272,
16103,
41146,
12841,
11820,
15983,
38713,
34074,
40671
] | Test |
18,176 | 24 | Title: Estimating Conditional Mutual Information for Dynamic Feature Selection
Abstract: Dynamic feature selection, where we sequentially query features to make accurate predictions with a minimal budget, is a promising paradigm to reduce feature acquisition costs and provide transparency into the prediction process. T... | [
25969,
33574
] | Train |
18,177 | 28 | Title: Distributed Rate-Splitting Multiple Access for Multilayer Satellite Communications
Abstract: Future wireless networks, in particular, 5G and beyond, are anticipated to deploy dense Low Earth Orbit (LEO) satellites to provide global coverage and broadband connectivity with reliable data services. However, new cha... | [
11845
] | Train |
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