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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

Showing 451475 of 9051 papers

TitleStatusHype
Multi-Agent Reinforcement Learning for Graph Discovery in D2D-Enabled Federated Learning0
Multi-Objective Quality-Diversity in Unstructured and Unbounded SpacesCode0
Multi-Target Acquisition in Multistatic MIMO-OFDM Joint Sensing and Communication0
Exploring Data Scaling Trends and Effects in Reinforcement Learning from Human Feedback0
Knowledge Rectification for Camouflaged Object Detection: Unlocking Insights from Low-Quality Data0
The Marine Debris Forward-Looking Sonar Datasets0
AutoComPose: Automatic Generation of Pose Transition Descriptions for Composed Pose Retrieval Using Multimodal LLMs0
ArchCAD-400K: An Open Large-Scale Architectural CAD Dataset and New Baseline for Panoptic Symbol Spotting0
ActionStudio: A Lightweight Framework for Data and Training of Large Action ModelsCode4
Composite Indicator-Guided Infilling Sampling for Expensive Multi-Objective Optimization0
Multiple Embeddings for Quantum Machine Learning0
AugWard: Augmentation-Aware Representation Learning for Accurate Graph ClassificationCode0
HyperMAN: Hypergraph-enhanced Meta-learning Adaptive Network for Next POI RecommendationCode0
Barrier-Free Microhabitats: Self-Organized Seclusion in Microbial CommunitiesCode0
The Procedural Content Generation Benchmark: An Open-source Testbed for Generative Challenges in GamesCode1
MLLM-Selector: Necessity and Diversity-driven High-Value Data Selection for Enhanced Visual Instruction Tuning0
Representation Improvement in Latent Space for Search-Based Testing of Autonomous Robotic SystemsCode0
Dynamics of Algorithmic Content Amplification on TikTok0
Large Language Models Meet Contrastive Learning: Zero-Shot Emotion Recognition Across LanguagesCode0
Beyond Relevance: An Adaptive Exploration-Based Framework for Personalized Recommendations0
VisualQuest: A Diverse Image Dataset for Evaluating Visual Recognition in LLMs0
Recover from Horcrux: A Spectrogram Augmentation Method for Cardiac Feature Monitoring from Radar Signal Components0
The economics of global personality diversity0
Automated Video-EEG Analysis in Epilepsy Studies: Advances and Challenges0
Exploring Textual Semantics Diversity for Image Transmission in Semantic Communication Systems using Visual Language Model0
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