node_id int64 0 76.9k | label int64 0 39 | text stringlengths 13 124k | neighbors listlengths 0 3.32k | mask stringclasses 4
values |
|---|---|---|---|---|
31,078 | 16 | Title: GridFormer: Residual Dense Transformer with Grid Structure for Image Restoration in Adverse Weather Conditions
Abstract: Image restoration in adverse weather conditions is a difficult task in computer vision. In this paper, we propose a novel transformer-based framework called GridFormer which serves as a backbo... | [
10948,
22181
] | Train |
31,079 | 16 | Title: Generalizing Dataset Distillation via Deep Generative Prior
Abstract: Dataset Distillation aims to distill an entire dataset's knowledge into a few synthetic images. The idea is to synthe-size a small number of synthetic data points that, when given to a learning algorithm as training data, result in a model app... | [
29354,
15316,
11126
] | Test |
31,080 | 16 | Title: Calibrated Teacher for Sparsely Annotated Object Detection
Abstract: Fully supervised object detection requires training images in which all instances are annotated. This is actually impractical due to the high labor and time costs and the unavoidable missing annotations. As a result, the incomplete annotation i... | [] | Train |
31,081 | 21 | Title: An Interdisciplinary Survey on Origin-destination Flows Modeling: Theory and Techniques
Abstract: Origin-destination~(OD) flow modeling is an extensively researched subject across multiple disciplines, such as the investigation of travel demand in transportation and spatial interaction modeling in geography. How... | [
19649,
27746,
35105,
16143
] | Train |
31,082 | 4 | Title: Obfuscation of Discrete Data
Abstract: Data obfuscation deals with the problem of masking a data-set in such a way that the utility of the data is maximized while minimizing the risk of the disclosure of sensitive information. To protect data we address some ways that may as well retain its statistical uses to s... | [] | Test |
31,083 | 34 | Title: Private estimation algorithms for stochastic block models and mixture models
Abstract: We introduce general tools for designing efficient private estimation algorithms, in the high-dimensional settings, whose statistical guarantees almost match those of the best known non-private algorithms. To illustrate our te... | [
40502,
46150,
22068,
3254
] | Test |
31,084 | 8 | Title: Optimized Live 4K Video Multicast
Abstract: 4K videos are becoming increasingly popular. However, despite advances in wireless technology, streaming 4K videos over mmWave to multiple users is facing significant challenges arising from directional communication, unpredictable channel fluctuation and high bandwidt... | [] | Test |
31,085 | 31 | Title: LightGCL: Simple Yet Effective Graph Contrastive Learning for Recommendation
Abstract: Graph neural network (GNN) is a powerful learning approach for graph-based recommender systems. Recently, GNNs integrated with contrastive learning have shown superior performance in recommendation with their data augmentation... | [
45697,
45349,
33317,
5162,
39245,
12080,
2994,
20982,
5559,
34838,
35386,
9150
] | Train |
31,086 | 24 | Title: Approximate Model-Based Shielding for Safe Reinforcement Learning
Abstract: Reinforcement learning (RL) has shown great potential for solving complex tasks in a variety of domains. However, applying RL to safety-critical systems in the real-world is not easy as many algorithms are sample-inefficient and maximisi... | [
22816,
40393,
14402,
26407
] | Test |
31,087 | 28 | Title: A New Design of CR-NOMA and Its Application to AoI Reduction
Abstract: The aim of this letter is to develop a new design of cognitive radio inspired non-orthogonal multiple access (CR-NOMA), which ensures that multiple new users can be supported without causing disruption to the legacy network. Analytical result... | [] | Test |
31,088 | 4 | Title: The Day-After-Tomorrow: On the Performance of Radio Fingerprinting over Time
Abstract: The performance of Radio Frequency (RF) fingerprinting techniques is negatively impacted when the training data is not temporally close to the testing data. This can limit the practical implementation of physical-layer authent... | [
28633
] | Test |
31,089 | 24 | Title: Poster: Link between Bias, Node Sensitivity and Long-Tail Distribution in trained DNNs
Abstract: Owing to their remarkable learning (and relearning) capabilities, deep neural networks (DNNs) find use in numerous real-world applications. However, the learning of these data-driven machine learning models is genera... | [
1636
] | Train |
31,090 | 24 | Title: Delphic Offline Reinforcement Learning under Nonidentifiable Hidden Confounding
Abstract: A prominent challenge of offline reinforcement learning (RL) is the issue of hidden confounding: unobserved variables may influence both the actions taken by the agent and the observed outcomes. Hidden confounding can compr... | [
29335,
23167
] | Test |
31,091 | 24 | Title: Has the Machine Learning Review Process Become More Arbitrary as the Field Has Grown? The NeurIPS 2021 Consistency Experiment
Abstract: We present the NeurIPS 2021 consistency experiment, a larger-scale variant of the 2014 NeurIPS experiment in which 10% of conference submissions were reviewed by two independent... | [] | Test |
31,092 | 10 | Title: Temporalising Unique Characterisability and Learnability of Ontology-Mediated Queries
Abstract: Recently, the study of the unique characterisability and learnability of database queries by means of examples has been extended to ontology-mediated queries. Here, we study in how far the obtained results can be lift... | [
19785,
25842
] | Train |
31,093 | 10 | Title: Characterizing Novelty in the Military Domain
Abstract: A critical factor in utilizing agents with Artificial Intelligence (AI) is their robustness to novelty. AI agents include models that are either engineered or trained. Engineered models include knowledge of those aspects of the environment that are known an... | [
22011,
55
] | Train |
31,094 | 4 | Title: East: Efficient and Accurate Secure Transformer Framework for Inference
Abstract: Transformer has been successfully used in practical applications, such as ChatGPT, due to its powerful advantages. However, users' input is leaked to the model provider during the service. With people's attention to privacy, privac... | [
21060,
35863
] | Train |
31,095 | 22 | Title: Benchmarking for Integrating Logic Rules with Everything Else
Abstract: Integrating logic rules with other language features is increasingly sought after for advanced applications that require knowledge-base capabilities. To address this demand, increasingly more languages and extensions for such integration hav... | [
17220
] | Validation |
31,096 | 24 | Title: Interpreting wealth distribution via poverty map inference using multimodal data
Abstract: Poverty maps are essential tools for governments and NGOs to track socioeconomic changes and adequately allocate infrastructure and services in places in need. Sensor and online crowd-sourced data combined with machine lea... | [] | Train |
31,097 | 16 | Title: Computer Vision-Aided Intelligent Monitoring of Coffee: Towards Sustainable Coffee Production
Abstract: Coffee which is prepared from the grinded roasted seeds of harvested coffee cherries, is one of the most consumed beverage and traded commodity, globally. To manually monitor the coffee field regularly, and in... | [
18908
] | Train |
31,098 | 10 | Title: Dual Formulation for Chance Constrained Stochastic Shortest Path with Application to Autonomous Vehicle Behavior Planning
Abstract: Autonomous vehicles face the problem of optimizing the expected performance of subsequent maneuvers while bounding the risk of collision with surrounding dynamic obstacles. These ob... | [] | Test |
31,099 | 16 | Title: Self-attention in vision transformers performs perceptual grouping, not attention
Abstract: Recently, a considerable number of studies in computer vision involve deep neural architectures called vision transformers. Visual processing in these models incorporates computational models that are claimed to implement... | [
40992,
25659,
45861
] | Validation |
31,100 | 28 | Title: Fundamental Limits of Topology-Aware Shared-Cache Networks
Abstract: This work studies a well-known shared-cache coded caching scenario where each cache can serve an arbitrary number of users, analyzing the case where there is some knowledge about such number of users (i.e., the topology) during the content plac... | [] | Train |
31,101 | 16 | Title: Perception Test: A Diagnostic Benchmark for Multimodal Video Models
Abstract: We propose a novel multimodal video benchmark - the Perception Test - to evaluate the perception and reasoning skills of pre-trained multimodal models (e.g. Flamingo, BEiT-3, or GPT-4). Compared to existing benchmarks that focus on com... | [] | Test |
31,102 | 26 | Title: Interplay between Topology and Edge Weights in Real-World Graphs: Concepts, Patterns, and an Algorithm
Abstract: nan | [] | Train |
31,103 | 6 | Title: Empirical Measurement of Aesthetic Experience of Music
Abstract: Chills or goosebumps, also called frisson, is a phenomenon that is often associated with an aesthetic experience e.g., music or some other ecstatic experience. The temporal and spatial cause of frisson in the brain has been one of the biggest myste... | [] | Train |
31,104 | 30 | Title: Understanding and Mitigating Spurious Correlations in Text Classification
Abstract: Recent research has revealed that deep learning models have a tendency to leverage spurious correlations that exist in the training set but may not hold true in general circumstances. For instance, a sentiment classifier may erro... | [
995
] | Test |
31,105 | 30 | Title: xPQA: Cross-Lingual Product Question Answering in 12 Languages
Abstract: Product Question Answering (PQA) systems are key in e-commerce applications as they provide responses to customers’ questions as they shop for products. While existing work on PQA focuses mainly on English, in practice there is need to supp... | [
39291
] | Train |
31,106 | 4 | Title: TaxIdMA: Towards a Taxonomy for Attacks related to Identities
Abstract: Identity management refers to the technology and policies for the identification, authentication, and authorization of users in computer networks. Identity management is therefore fundamental to today’s IT ecosystem. At the same time, identi... | [
19413
] | Train |
31,107 | 24 | Title: Beyond OOD State Actions: Supported Cross-Domain Offline Reinforcement Learning
Abstract: Offline reinforcement learning (RL) aims to learn a policy using only pre-collected and fixed data. Although avoiding the time-consuming online interactions in RL, it poses challenges for out-of-distribution (OOD) state act... | [
17122,
23807,
9414,
21586,
4915,
17631
] | Train |
31,108 | 24 | Title: Interpretable Deep Learning for Forecasting Online Advertising Costs: Insights from the Competitive Bidding Landscape
Abstract: As advertisers increasingly shift their budgets toward digital advertising, forecasting advertising costs is essential for making budget plans to optimize marketing campaign returns. In... | [] | Test |
31,109 | 16 | Title: Photoswap: Personalized Subject Swapping in Images
Abstract: In an era where images and visual content dominate our digital landscape, the ability to manipulate and personalize these images has become a necessity. Envision seamlessly substituting a tabby cat lounging on a sunlit window sill in a photograph with ... | [
42149,
34074,
45166,
34068,
41146,
16284
] | Test |
31,110 | 5 | Title: Improving Asynchrony Resilience in Dynamically Available Total-Order Broadcast Protocols
Abstract: Dynamically available total-order broadcast (TOB) protocols are essential in permissionless systems in which participants may unpredictably go offline and later come back online. Existing dynamically-available prot... | [
21961,
16155
] | Train |
31,111 | 24 | Title: Bridging Physics-Informed Neural Networks with Reinforcement Learning: Hamilton-Jacobi-Bellman Proximal Policy Optimization (HJBPPO)
Abstract: This paper introduces the Hamilton-Jacobi-Bellman Proximal Policy Optimization (HJBPPO) algorithm into reinforcement learning. The Hamilton-Jacobi-Bellman (HJB) equation ... | [
17198
] | Validation |
31,112 | 30 | Title: Short Answer Grading Using One-shot Prompting and Text Similarity Scoring Model
Abstract: In this study, we developed an automated short answer grading (ASAG) model that provided both analytic scores and final holistic scores. Short answer items typically consist of multiple sub-questions, and providing an analy... | [
38106,
34367
] | Test |
31,113 | 10 | Title: Could a Large Language Model be Conscious?
Abstract: There has recently been widespread discussion of whether large language models might be sentient or conscious. Should we take this idea seriously? I will break down the strongest reasons for and against. Given mainstream assumptions in the science of conscious... | [
28131,
5707,
37516,
9686,
34681
] | Test |
31,114 | 4 | Title: On the success probability of the quantum algorithm for the short DLP
Abstract: Eker{\aa} and H{\aa}stad have introduced a variation of Shor's algorithm for the discrete logarithm problem (DLP). Unlike Shor's original algorithm, Eker{\aa}-H{\aa}stad's algorithm solves the short DLP in groups of unknown order. In... | [] | Train |
31,115 | 6 | Title: Guttation Monitor: Wearable Guttation Sensor for Plant Condition Monitoring and Diagnosis
Abstract: Plant life plays a critical role in the ecosystem. However, it is difficult for humans to perceive plants' reactions because the biopotential and biochemical responses are invisible to humans. Guttation droplets c... | [] | Train |
31,116 | 6 | Title: Is a Mean Difference of 0.46 Relevant? Towards Determining the Smallest Effect Size of Interest for Visual Aesthetics of Websites
Abstract: Imagine conducting a study to determine whether users rate the visual aesthetics of your website more positively than your competitors. To assess users' perceptions of both ... | [] | Train |
31,117 | 24 | Title: Mitigating Group Bias in Federated Learning for Heterogeneous Devices
Abstract: Federated Learning is emerging as a privacy-preserving model training approach in distributed edge applications. As such, most edge deployments are heterogeneous in nature i.e., their sensing capabilities and environments vary across... | [] | Train |
31,118 | 27 | Title: ConBaT: Control Barrier Transformer for Safe Policy Learning
Abstract: Large-scale self-supervised models have recently revolutionized our ability to perform a variety of tasks within the vision and language domains. However, using such models for autonomous systems is challenging because of safety requirements:... | [] | Train |
31,119 | 31 | Title: Recommendation Systems in Libraries: an Application with Heterogeneous Data Sources
Abstract: The Reading&Machine project exploits the support of digitalization to increase the attractiveness of libraries and improve the users' experience. The project implements an application that helps the users in their decis... | [] | Train |
31,120 | 24 | Title: RRCNN+: An Enhanced Residual Recursive Convolutional Neural Network for Non-stationary Signal Decomposition
Abstract: Time-frequency analysis is an important and challenging task in many applications. Fourier and wavelet analysis are two classic methods that have achieved remarkable success in many fields. They ... | [
31007
] | Train |
31,121 | 23 | Title: Optimizing Predictions for Very Small Data Sets: a case study on Open-Source Project Health Prediction
Abstract: When learning from very small data sets, the resulting models can make many mistakes. For example, consider learning predictors for open source project health. The training data for this task may be v... | [] | Train |
31,122 | 23 | Title: Investigating the Software Engineering Roadmap for Smart City Infrastructure Development: Goals and Challenges
Abstract: In today's world, many cities are embracing cutting-edge technology and transforming into"smart cities". These emerging innovations are revolutionizing the standard of living for people, and a... | [] | Validation |
31,123 | 3 | Title: The dynamic nature of trust: Trust in Human-Robot Interaction revisited
Abstract: The role of robots is expanding from tool to collaborator. Socially assistive robots (SARs) are an example of collaborative robots that assist humans in the real world. As robots enter our social sphere, unforeseen risks occur duri... | [] | Test |
31,124 | 31 | Title: Popularity Debiasing from Exposure to Interaction in Collaborative Filtering
Abstract: Recommender systems often suffer from popularity bias, where popular items are overly recommended while sacrificing unpopular items. Existing researches generally focus on ensuring the number of recommendations (exposure) of e... | [
26853
] | Test |
31,125 | 24 | Title: Mixed Effects Random Forests for Personalised Predictions of Clinical Depression Severity
Abstract: This work demonstrates how mixed effects random forests enable accurate predictions of depression severity using multimodal physiological and digital activity data collected from an 8-week study involving 31 patie... | [
24198
] | Validation |
31,126 | 13 | Title: Exploring Novel Quality Diversity Methods For Generalization in Reinforcement Learning
Abstract: The Reinforcement Learning field is strong on achievements and weak on reapplication; a computer playing GO at a super-human level is still terrible at Tic-Tac-Toe. This paper asks whether the method of training netw... | [] | Validation |
31,127 | 30 | Title: E-NER: Evidential Deep Learning for Trustworthy Named Entity Recognition
Abstract: Most named entity recognition (NER) systems focus on improving model performance, ignoring the need to quantify model uncertainty, which is critical to the reliability of NER systems in open environments. Evidential deep learning ... | [
7073
] | Train |
31,128 | 4 | Title: Detecting Forged Kerberos Tickets in an Active Directory Environment
Abstract: - Active Directory is the most popular service to manage users and devices on the network. Its widespread deployment in the corporate world has made it a popular target for threat actors. While there are many attacks that target Activ... | [] | Train |
31,129 | 23 | Title: Addressing Compiler Errors: Stack Overflow or Large Language Models?
Abstract: Compiler error messages serve as an initial resource for programmers dealing with compilation errors. However, previous studies indicate that they often lack sufficient targeted information to resolve code issues. Consequently, progra... | [] | Validation |
31,130 | 16 | Title: Label-guided Attention Distillation for lane segmentation
Abstract: nan | [
5497,
26903
] | Test |
31,131 | 24 | Title: The Effect of Epidemiological Cohort Creation on the Machine Learning Prediction of Homelessness and Police Interaction Outcomes Using Administrative Health Care Data
Abstract: Background: Mental illness can lead to adverse outcomes such as homelessness and police interaction and understanding of the events lead... | [] | Validation |
31,132 | 24 | Title: Generalization Guarantees of Gradient Descent for Multi-Layer Neural Networks
Abstract: Recently, significant progress has been made in understanding the generalization of neural networks (NNs) trained by gradient descent (GD) using the algorithmic stability approach. However, most of the existing research has f... | [] | Test |
31,133 | 30 | Title: Utterance Emotion Dynamics in Children’s Poems: Emotional Changes Across Age
Abstract: Emerging psychopathology studies are showing that patterns of changes in emotional state — emotion dynamics — are associated with overall well-being and mental health. More recently, there has been some work in tracking emotio... | [
17835
] | Train |
31,134 | 22 | Title: Inductive diagrams for causal reasoning
Abstract: The Lamport diagram is a pervasive and intuitive tool for informal reasoning about causality in a concurrent system. However, traditional axiomatic formalizations of Lamport diagrams can be painful to work with in a mechanized setting like Agda, whereas inductive... | [
21053
] | Train |
31,135 | 16 | Title: Assessing the applicability of common performance metrics for real-world infrared small-target detection
Abstract: Infrared small target detection (IRSTD) is a challenging task in computer vision. During the last two decades, researchers’ efforts are devoted to improving detection ability of IRSTDs. Despite the h... | [] | Train |
31,136 | 24 | Title: A Theory of Link Prediction via Relational Weisfeiler-Leman
Abstract: Graph neural networks are prominent models for representation learning over graph-structured data. While the capabilities and limitations of these models are well-understood for simple graphs, our understanding remains incomplete in the contex... | [
15293,
46030
] | Test |
31,137 | 16 | Title: Alteration-free and Model-agnostic Origin Attribution of Generated Images
Abstract: Recently, there has been a growing attention in image generation models. However, concerns have emerged regarding potential misuse and intellectual property (IP) infringement associated with these models. Therefore, it is necessa... | [
31944,
13801,
30320,
45104,
30643,
40597
] | Validation |
31,138 | 3 | Title: A multidomain relational framework to guide institutional AI research and adoption
Abstract: Calls for new metrics, technical standards and governance mechanisms to guide the adoption of Artificial Intelligence (AI) in institutions and public administration are now commonplace. Yet, most research and policy effo... | [
29996
] | Train |
31,139 | 24 | Title: A Log-linear Gradient Descent Algorithm for Unbalanced Binary Classification using the All Pairs Squared Hinge Loss
Abstract: Receiver Operating Characteristic (ROC) curves are plots of true positive rate versus false positive rate which are used to evaluate binary classification algorithms. Because the Area Und... | [] | Train |
31,140 | 30 | Title: Sensemaking About Contraceptive Methods Across Online Platforms
Abstract: Selecting a birth control method is a complex healthcare decision. While birth control methods provide important benefits, they can also cause unpredictable side effects and be stigmatized, leading many people to seek additional informatio... | [] | Train |
31,141 | 30 | Title: The Daunting Dilemma with Sentence Encoders: Success on Standard Benchmarks, Failure in Capturing Basic Semantic Properties
Abstract: In this paper, we adopted a retrospective approach to examine and compare five existing popular sentence encoders, i.e., Sentence-BERT, Universal Sentence Encoder (USE), LASER, In... | [] | Train |
31,142 | 24 | Title: Information criteria for structured parameter selection in high dimensional tree and graph models
Abstract: Parameter selection in high-dimensional models is typically finetuned in a way that keeps the (relative) number of false positives under control. This is because otherwise the few true positives may be dom... | [] | Train |
31,143 | 37 | Title: Towards a GML-Enabled Knowledge Graph Platform
Abstract: This vision paper proposes KGNet, an on-demand graph machine learning (GML) as a service on top of RDF engines to support GML-enabled SPARQL queries. KGNet automates the training of GML models on a KG by identifying a task-specific subgraph. This helps red... | [] | Train |
31,144 | 16 | Title: DropMix: Reducing Class Dependency in Mixed Sample Data Augmentation
Abstract: Mixed sample data augmentation (MSDA) is a widely used technique that has been found to improve performance in a variety of tasks. However, in this paper, we show that the effects of MSDA are class-dependent, with some classes seeing ... | [] | Train |
31,145 | 30 | Title: PanGu-Coder2: Boosting Large Language Models for Code with Ranking Feedback
Abstract: Large Language Models for Code (Code LLM) are flourishing. New and powerful models are released on a weekly basis, demonstrating remarkable performance on the code generation task. Various approaches have been proposed to boost... | [
14592,
42129,
14869,
16917,
29215,
34208,
10785,
13345,
2980,
25772,
25522,
6328,
22201,
26815,
32450,
33220,
13510,
15952,
33490,
27354,
27482,
17517,
36719
] | Train |
31,146 | 30 | Title: CFL: Causally Fair Language Models Through Token-level Attribute Controlled Generation
Abstract: We propose a method to control the attributes of Language Models (LMs) for the text generation task using Causal Average Treatment Effect (ATE) scores and counterfactual augmentation. We explore this method, in the c... | [] | Validation |
31,147 | 30 | Title: ChatABL: Abductive Learning via Natural Language Interaction with ChatGPT
Abstract: Large language models (LLMs) such as ChatGPT have recently demonstrated significant potential in mathematical abilities, providing valuable reasoning paradigm consistent with human natural language. However, LLMs currently have d... | [
45189,
11273,
29454,
8084,
24,
3609,
25892,
36263,
10163,
24756,
7996,
23230,
42433,
45505,
13510,
40136,
16471,
44272,
1151
] | Train |
31,148 | 3 | Title: Modeling Population Movements under Uncertainty at the Border in Humanitarian Crises: A Situational Analysis Tool
Abstract: Humanitarian agencies must be prepared to mobilize quickly in response to complex emergencies, and their effectiveness depends on their ability to identify, anticipate, and prepare for futu... | [] | Train |
31,149 | 30 | Title: The Relationship Between Speech Features Changes When You Get Depressed: Feature Correlations for Improving Speed and Performance of Depression Detection
Abstract: This work shows that depression changes the correlation between features extracted from speech. Furthermore, it shows that using such an insight can ... | [] | Train |
31,150 | 27 | Title: Proximal Exploration of Venus Volcanism with Teams of Autonomous Buoyancy-Controlled Balloons
Abstract: nan | [] | Train |
31,151 | 24 | Title: Sparsity-aware generalization theory for deep neural networks
Abstract: Deep artificial neural networks achieve surprising generalization abilities that remain poorly understood. In this paper, we present a new approach to analyzing generalization for deep feed-forward ReLU networks that takes advantage of the d... | [
13424,
29290
] | Test |
31,152 | 16 | Title: Search By Image: Deeply Exploring Beneficial Features for Beauty Product Retrieval
Abstract: Searching by image is popular yet still challenging due to the extensive interference arose from i) data variations (e.g., background, pose, visual angle, brightness) of real-world captured images and ii) similar images ... | [] | Train |
31,153 | 23 | Title: LLMSecEval: A Dataset of Natural Language Prompts for Security Evaluations
Abstract: Large Language Models (LLMs) like Codex are powerful tools for performing code completion and code generation tasks as they are trained on billions of lines of code from publicly available sources. Moreover, these models are cap... | [
42714,
31643,
35093,
23998
] | Train |
31,154 | 24 | Title: Safe AI for health and beyond -- Monitoring to transform a health service
Abstract: Machine learning techniques are effective for building predictive models because they identify patterns in large datasets. Development of a model for complex real-life problems often stop at the point of publication, proof of con... | [] | Test |
31,155 | 16 | Title: FlowFormer++: Masked Cost Volume Autoencoding for Pretraining Optical Flow Estimation
Abstract: FlowFormer [24] introduces a transformer architecture into optical flow estimation and achieves state-of-the-art performance. The core component of FlowFormer is the transformer-based cost-volume encoder. Inspired by ... | [
28512,
40783,
12144,
20625,
32632,
25370,
4444
] | Train |
31,156 | 16 | Title: Beta-Rank: A Robust Convolutional Filter Pruning Method For Imbalanced Medical Image Analysis
Abstract: As deep neural networks include a high number of parameters and operations, it can be a challenge to implement these models on devices with limited computational resources. Despite the development of novel pru... | [
38547
] | Test |
31,157 | 6 | Title: Investigating Girls' Perspectives and Knowledge Gaps on Ethics and Fairness in Artificial Intelligence in a Lightweight Workshop
Abstract: Artificial intelligence (AI) is everywhere, with many children having increased exposure to AI technologies in daily life. We aimed to understand middle school girls' (a grou... | [] | Train |
31,158 | 30 | Title: AutoPEFT: Automatic Configuration Search for Parameter-Efficient Fine-Tuning
Abstract: Large pretrained language models are widely used in downstream NLP tasks via task-specific fine-tuning, but such procedures can be costly. Recently, Parameter-Efficient Fine-Tuning (PEFT) methods have achieved strong task perf... | [
38730,
36569,
32249,
32635,
28350,
37919
] | Train |
31,159 | 36 | Title: Player-centered incomplete cooperative games
Abstract: The computation of a solution concept of a cooperative game usually employs values of all coalitions. However, in some applications, the values of some of the coalitions might be unknown due to high costs associated with their determination or simply because... | [] | Test |
31,160 | 10 | Title: A Strategy-Oriented Bayesian Soft Actor-Critic Model
Abstract: Adopting reasonable strategies is challenging but crucial for an intelligent agent with limited resources working in hazardous, unstructured, and dynamic environments to improve the system's utility, decrease the overall cost, and increase mission su... | [
18963,
33413
] | Train |
31,161 | 30 | Title: Can ChatGPT and Bard Generate Aligned Assessment Items? A Reliability Analysis against Human Performance
Abstract: ChatGPT and Bard are AI chatbots based on Large Language Models (LLM) that are slated to promise different applications in diverse areas. In education, these AI technologies have been tested for app... | [] | Validation |
31,162 | 16 | Title: Detection and Segmentation of Cosmic Objects Based on Adaptive Thresholding and Back Propagation Neural Network
Abstract: Astronomical images provide information about the great variety of cosmic objects in the Universe. Due to the large volumes of data, the presence of innumerable bright point sources as well a... | [] | Train |
31,163 | 16 | Title: Multi-interactive Feature Learning and a Full-time Multi-modality Benchmark for Image Fusion and Segmentation
Abstract: Multi-modality image fusion and segmentation play a vital role in autonomous driving and robotic operation. Early efforts focus on boosting the performance for only one task, \emph{e.g.,} fusio... | [
32070,
39153,
949,
32827,
20542,
22879
] | Train |
31,164 | 10 | Title: Company2Vec - German Company Embeddings based on Corporate Websites
Abstract: With Company2Vec, the paper proposes a novel application in representation learning. The model analyzes business activities from unstructured company website data using Word2Vec and dimensionality reduction. Company2Vec maintains seman... | [
30644
] | Test |
31,165 | 4 | Title: Vulnerability Assessment of Industrial Control System with an Improved CVSS
Abstract: Cyberattacks on industrial control systems (ICS) have been drawing attention in academia. However, this has not raised adequate concerns among some industrial practitioners. Therefore, it is necessary to identify the vulnerable... | [] | Validation |
31,166 | 24 | Title: FFHR: Fully and Flexible Hyperbolic Representation for Knowledge Graph Completion
Abstract: Learning hyperbolic embeddings for knowledge graph (KG) has gained increasing attention due to its superiority in capturing hierarchies. However, some important operations in hyperbolic space still lack good definitions, ... | [] | Train |
31,167 | 16 | Title: Improving NeRF Quality by Progressive Camera Placement for Unrestricted Navigation in Complex Environments
Abstract: Neural Radiance Fields, or NeRFs, have drastically improved novel view synthesis and 3D reconstruction for rendering. NeRFs achieve impressive results on object-centric reconstructions, but the qu... | [] | Train |
31,168 | 16 | Title: SceNeRFlow: Time-Consistent Reconstruction of General Dynamic Scenes
Abstract: Existing methods for the 4D reconstruction of general, non-rigidly deforming objects focus on novel-view synthesis and neglect correspondences. However, time consistency enables advanced downstream tasks like 3D editing, motion analys... | [] | Validation |
31,169 | 16 | Title: Focus On Details: Online Multi-Object Tracking with Diverse Fine-Grained Representation
Abstract: Discriminative representation is essential to keep a unique identifier for each target in Multiple object tracking (MOT). Some recent MOT methods extract features of the bounding box region or the center point as id... | [
28124,
20300,
5903
] | Train |
31,170 | 8 | Title: OSMOSIS: Enabling Multi-Tenancy in Datacenter SmartNICs
Abstract: Multi-tenancy is essential for unleashing SmartNIC's potential in datacenters. Our systematic analysis in this work shows that existing on-path SmartNICs have resource multiplexing limitations. For example, existing solutions lack multi-tenancy ca... | [] | Train |
31,171 | 37 | Title: SAP HANA Data Volume Management
Abstract: Today information technology is a data-driven environment. The role of data is to empower business leaders to make decisions based on facts, trends, and statistical numbers. SAP is no exception. In modern days many companies use business suites like SAP on HANA S/4 or ER... | [] | Validation |
31,172 | 25 | Title: Multilingual Multiaccented Multispeaker TTS with RADTTS
Abstract: We work to create a multilingual speech synthesis system which can generate speech with the proper accent while retaining the characteristics of an individual voice. This is challenging to do because it is expensive to obtain bilingual training da... | [] | Validation |
31,173 | 8 | Title: Adaptive Timers and Buffer Optimization for Layer-2 Protocols in 5G Non-Terrestrial Networks
Abstract: Interest in the integration of Terrestrial Networks (TN) and Non-Terrestrial Networks (NTN); primarily satellites; has been rekindled due to the potential of NTN to provide ubiquitous coverage. Especially with ... | [
12770
] | Train |
31,174 | 30 | Title: LaDA: Latent Dialogue Action For Zero-shot Cross-lingual Neural Network Language Modeling
Abstract: Cross-lingual adaptation has proven effective in spoken language understanding (SLU) systems with limited resources. Existing methods are frequently unsatisfactory for intent detection and slot filling, particular... | [] | Train |
31,175 | 6 | Title: Cross-lingual German Biomedical Information Extraction: from Zero-shot to Human-in-the-Loop
Abstract: This paper presents our project proposal for extracting biomedical information from German clinical narratives with limited amounts of annotations. We first describe the applied strategies in transfer learning a... | [] | Train |
31,176 | 24 | Title: Sparse Private LASSO Logistic Regression
Abstract: LASSO regularized logistic regression is particularly useful for its built-in feature selection, allowing coefficients to be removed from deployment and producing sparse solutions. Differentially private versions of LASSO logistic regression have been developed,... | [] | Test |
31,177 | 16 | Title: Body Knowledge and Uncertainty Modeling for Monocular 3D Human Body Reconstruction
Abstract: While 3D body reconstruction methods have made remarkable progress recently, it remains difficult to acquire the sufficiently accurate and numerous 3D supervisions required for training. In this paper, we propose \textbf... | [] | Train |
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