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Diversity

Diversity in data sampling is crucial across various use cases, including search, recommendation systems, and more. Ensuring diverse samples means capturing a wide range of variations and perspectives, which leads to more robust, unbiased, and comprehensive models. In search use cases, for instance, diversity helps avoid redundancy, ensuring that users are exposed to a broader set of relevant information rather than repeated similar results.

Papers

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Showing 1851–1900 of 9051 papers

TitleStatusHype
Genetic Algorithm-based Routing and Scheduling for Wildfire Suppression using a Team of UAVs—0
GPT Deciphering Fedspeak: Quantifying Dissent Among Hawks and DovesCode0
Constructing Enhanced Mutual Information for Online Class-Incremental Learning—0
Utilizing TTS Synthesized Data for Efficient Development of Keyword Spotting Model—0
The BIAS Detection Framework: Bias Detection in Word Embeddings and Language Models for European LanguagesCode0
Adaptive Contrastive Search: Uncertainty-Guided Decoding for Open-Ended Text GenerationCode1
Exploring the Role of Node Diversity in Directed Graph Representation LearningCode0
Ontology of Belief Diversity: A Community-Based Epistemological Approach—0
Self-Supervision Improves Diffusion Models for Tabular Data ImputationCode1
Enhancing Diversity in Multi-objective Feature Selection—0
Multipath Identification and Mitigation with FDA-MIMO Radar—0
Network Inversion of Convolutional Neural Nets—0
Exploring the Effect of Dataset Diversity in Self-Supervised Learning for Surgical Computer VisionCode2
Quantum-Inspired Evolutionary Algorithms for Feature Subset Selection: A Comprehensive Survey—0
PEFT-U: Parameter-Efficient Fine-Tuning for User PersonalizationCode0
The FIGNEWS Shared Task on News Media Narratives—0
XS-VID: An Extremely Small Video Object Detection Dataset—0
Image Segmentation via Divisive Normalization: dealing with environmental diversity—0
Diversity in Choice as Majorization—0
Pose Estimation from Camera Images for Underwater Inspection—0
Take a Step and Reconsider: Sequence Decoding for Self-Improved Neural Combinatorial OptimizationCode1
Synth4Kws: Synthesized Speech for User Defined Keyword Spotting in Low Resource Environments—0
A Quantum Leaky Integrate-and-Fire Spiking Neuron and NetworkCode1
Topology Reorganized Graph Contrastive Learning with Mitigating Semantic Drift—0
Can time series forecasting be automated? A benchmark and analysis—0
AIDE: Antithetical, Intent-based, and Diverse Example-Based Explanations—0
DriveDiTFit: Fine-tuning Diffusion Transformers for Autonomous DrivingCode1
Diffusion for Out-of-Distribution Detection on Road Scenes and BeyondCode1
Visual-Semantic Decomposition and Partial Alignment for Document-based Zero-Shot LearningCode0
Annealed Multiple Choice Learning: Overcoming limitations of Winner-takes-all with annealingCode1
Beyond Size and Class Balance: Alpha as a New Dataset Quality Metric for Deep Learning—0
Semantic Diversity-aware Prototype-based Learning for Unbiased Scene Graph GenerationCode1
MMInstruct: A High-Quality Multi-Modal Instruction Tuning Dataset with Extensive DiversityCode2
The Diversity Bonus: Learning from Dissimilar Distributed Clients in Personalized Federated Learning—0
MusiConGen: Rhythm and Chord Control for Transformer-Based Text-to-Music GenerationCode2
Downstream-Pretext Domain Knowledge Traceback for Active Learning—0
Strategic Coupon Allocation for Increasing Providers' Sales Experiences in Two-sided Marketplaces—0
Self-supervised transformer-based pre-training method with General Plant Infection datasetCode0
Similarity of Information and Collective Action—0
Towards Realistic Emotional Voice Conversion using Controllable Emotional Intensity—0
Addressing Data Heterogeneity in Federated Learning of Cox Proportional Hazards Models—0
Automatic Generation of Fashion Images using Prompting in Generative Machine Learning ModelsCode0
AI for All: Identifying AI incidents Related to Diversity and Inclusion—0
A Comparative Study of Transfer Learning for Emotion Recognition using CNN and Modified VGG16 Models—0
The Structure of Occupational Mobility in France—0
Double Gradient Reversal Network for Single-Source Domain Generalization in Multi-mode Fault Diagnosis—0
Mono-ViFI: A Unified Learning Framework for Self-supervised Single- and Multi-frame Monocular Depth EstimationCode2
User-Creator Feature Polarization in Recommender Systems with Dual Influence—0
Personalized Privacy Protection Mask Against Unauthorized Facial RecognitionCode1
Predicting Star Scientists in the Field of Artificial Intelligence: A Machine Learning Approach—0
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