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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 6576–6600 of 9051 papers

TitleStatusHype
PoseGU: 3D Human Pose Estimation with Novel Human Pose Generator and Unbiased Learning—0
Unity in Diversity: A Unified Parsing Strategy for Major Indian Languages—0
A Parameterized Family of Meta-Submodular Functions—0
A Paradigm Shift in Mouza Map Vectorization: A Human-Machine Collaboration Approach—0
Position: Measure Dataset Diversity, Don't Just Claim It—0
Position of Uncertainty: A Cross-Linguistic Study of Positional Bias in Large Language Models—0
Position Paper: Building Trust in Synthetic Data for Clinical AI—0
Positive Diversity Tuning for Machine Translation System Combination—0
PostDoc: Generating Poster from a Long Multimodal Document Using Deep Submodular Optimization—0
Anywhere: A Multi-Agent Framework for User-Guided, Reliable, and Diverse Foreground-Conditioned Image Generation—0
Unity in Diversity: Learning Distributed Heterogeneous Sentence Representation for Extractive Summarization—0
Post-hoc loss-calibration for Bayesian neural networks—0
Postprocessing of point predictions for probabilistic forecasting of day-ahead electricity prices: The benefits of using isotonic distributional regression—0
AnyHome: Open-Vocabulary Generation of Structured and Textured 3D Homes—0
Post-Training Overfitting Mitigation in DNN Classifiers—0
Post-Training Quantization for Vision Transformer—0
Power Efficient Discontinuous Reception in THz and mmWave Wireless Systems—0
Power Scaling Law for Optical IRSs and Comparison with Optical Relays—0
PPA-Game: Characterizing and Learning Competitive Dynamics Among Online Content Creators—0
PPD: A New Valet Parking Pedestrian Fisheye Dataset for Autonomous Driving—0
PP-Rec: News Recommendation with Personalized User Interest and Time-aware News Popularity—0
PPT: Pretraining with Pseudo-Labeled Trajectories for Motion Forecasting—0
PQD: Post-training Quantization for Efficient Diffusion Models—0
PQuAD: A Persian Question Answering Dataset—0
Practical Applications of Advanced Cloud Services and Generative AI Systems in Medical Image Analysis—0
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