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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 3201–3250 of 9051 papers

TitleStatusHype
Efficient Multi-Objective Neural Architecture Search via Pareto Dominance-based Novelty Search—0
Efficient Data Representation for Motion Forecasting: A Scene-Specific Trajectory Set Approach—0
Toward Wireless Localization Using Multiple Reconfigurable Intelligent Surfaces—0
CollectiveSFT: Scaling Large Language Models for Chinese Medical Benchmark with Collective Instructions in HealthcareCode0
Towards Open-Set Myoelectric Gesture Recognition via Dual-Perspective Inconsistency Learning—0
Evolution of cooperation with Q-learning: the impact of information perception—0
Specify and Edit: Overcoming Ambiguity in Text-Based Image EditingCode0
Cycle3D: High-quality and Consistent Image-to-3D Generation via Generation-Reconstruction Cycle—0
Genetic Algorithm-based Routing and Scheduling for Wildfire Suppression using a Team of UAVs—0
Constructing Enhanced Mutual Information for Online Class-Incremental Learning—0
GPT Deciphering Fedspeak: Quantifying Dissent Among Hawks and DovesCode0
The BIAS Detection Framework: Bias Detection in Word Embeddings and Language Models for European LanguagesCode0
Utilizing TTS Synthesized Data for Efficient Development of Keyword Spotting Model—0
The FIGNEWS Shared Task on News Media Narratives—0
Enhancing Diversity in Multi-objective Feature Selection—0
Image Segmentation via Divisive Normalization: dealing with environmental diversity—0
Quantum-Inspired Evolutionary Algorithms for Feature Subset Selection: A Comprehensive Survey—0
Exploring the Role of Node Diversity in Directed Graph Representation LearningCode0
Multipath Identification and Mitigation with FDA-MIMO Radar—0
Network Inversion of Convolutional Neural Nets—0
Ontology of Belief Diversity: A Community-Based Epistemological Approach—0
PEFT-U: Parameter-Efficient Fine-Tuning for User PersonalizationCode0
XS-VID: An Extremely Small Video Object Detection Dataset—0
Pose Estimation from Camera Images for Underwater Inspection—0
Diversity in Choice as Majorization—0
Topology Reorganized Graph Contrastive Learning with Mitigating Semantic Drift—0
Can time series forecasting be automated? A benchmark and analysis—0
Synth4Kws: Synthesized Speech for User Defined Keyword Spotting in Low Resource Environments—0
AIDE: Antithetical, Intent-based, and Diverse Example-Based Explanations—0
The Diversity Bonus: Learning from Dissimilar Distributed Clients in Personalized Federated Learning—0
Visual-Semantic Decomposition and Partial Alignment for Document-based Zero-Shot LearningCode0
Beyond Size and Class Balance: Alpha as a New Dataset Quality Metric for Deep Learning—0
Strategic Coupon Allocation for Increasing Providers' Sales Experiences in Two-sided Marketplaces—0
Downstream-Pretext Domain Knowledge Traceback for Active Learning—0
Similarity of Information and Collective Action—0
Addressing Data Heterogeneity in Federated Learning of Cox Proportional Hazards Models—0
Towards Realistic Emotional Voice Conversion using Controllable Emotional Intensity—0
Self-supervised transformer-based pre-training method with General Plant Infection datasetCode0
Automatic Generation of Fashion Images using Prompting in Generative Machine Learning ModelsCode0
User-Creator Feature Polarization in Recommender Systems with Dual Influence—0
Double Gradient Reversal Network for Single-Source Domain Generalization in Multi-mode Fault Diagnosis—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
AI for All: Identifying AI incidents Related to Diversity and Inclusion—0
Predicting Star Scientists in the Field of Artificial Intelligence: A Machine Learning Approach—0
Conditional Quantile Estimation for Uncertain Watch Time in Short-Video RecommendationCode0
The Fabrication of Reality and Fantasy: Scene Generation with LLM-Assisted Prompt Interpretation—0
On Diversity in Discriminative Neural Networks—0
Sharpness-diversity tradeoff: improving flat ensembles with SharpBalance—0
Semantic-Aware Representation of Multi-Modal Data for Data Ingress: A Literature Review—0
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