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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 6651–6675 of 9051 papers

TitleStatusHype
Low-Confidence Gold: Refining Low-Confidence Samples for Efficient Instruction Tuning—0
Low-Rank and Sparse Model Merging for Multi-Lingual Speech Recognition and Translation—0
Low-resource Machine Translation: what for? who for? An observational study on a dedicated Tetun language translation service—0
LPS@LT-EDI-ACL2022:An Ensemble Approach about Hope Speech Detection—0
LSDSCC: a Large Scale Domain-Specific Conversational Corpus for Response Generation with Diversity Oriented Evaluation Metrics—0
LSD-StructureNet: Modeling Levels of Structural Detail in 3D Part Hierarchies—0
LSTM Networks for Online Cross-Network Recommendations—0
LTP: Lane-Based Trajectory Prediction for Autonomous Driving—0
LumiCRS: Asymmetric Contrastive Prototype Learning for Long-Tail Conversational Movie Recommendation—0
Lyapunov Exponents for Diversity in Differentiable Games—0
M2BeamLLM: Multimodal Sensing-empowered mmWave Beam Prediction with Large Language Models—0
M^3AV: A Multimodal, Multigenre, and Multipurpose Audio-Visual Academic Lecture Dataset—0
M^3CS: Multi-Target Masked Point Modeling with Learnable Codebook and Siamese Decoders—0
M3ST: Mix at Three Levels for Speech Translation—0
MA4DIV: Multi-Agent Reinforcement Learning for Search Result Diversification—0
Machine Learning Algorithms for Breast Cancer Detection in Mammography Images: A Comparative Study—0
Machine Learning Information Retrieval and Summarisation to Support Systematic Review on Outcomes Based Contracting—0
Machine Learning Infused Distributed Optimization for Coordinating Virtual Power Plant Assets—0
Machine learning models for Si nanoparticle growth in nonthermal plasma—0
Machine Learning Testing in an ADAS Case Study Using Simulation-Integrated Bio-Inspired Search-Based Testing—0
Macroscopic Control of Text Generation for Image Captioning—0
MAD Speech: Measures of Acoustic Diversity of Speech—0
MAGIC: Multimodal relAtional Graph adversarIal inferenCe for Diverse and Unpaired Text-based Image Captioning—0
Maintaining Diversity Provably Helps in Evolutionary Multimodal Optimization—0
Majority Vote of Diverse Classifiers for Late Fusion—0
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