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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 4301–4325 of 9051 papers

TitleStatusHype
Coherent Dialogue with Attention-based Language Models—0
Ensemble prosody prediction for expressive speech synthesis—0
Coherent and Concise Radiology Report Generation via Context Specific Image Representations and Orthogonal Sentence States—0
Ensemble One-dimensional Convolution Neural Networks for Skeleton-based Action Recognition—0
Ensemble of Part Detectors for Simultaneous Classification and Localization—0
Coherent and Archimedean choice in general Banach spaces—0
Coherence and Diversity through Noise: Self-Supervised Paraphrase Generation via Structure-Aware Denoising—0
Ensemble of ACCDOA- and EINV2-based Systems with D3Nets and Impulse Response Simulation for Sound Event Localization and Detection—0
Ensemble Methodology:Innovations in Credit Default Prediction Using LightGBM, XGBoost, and LocalEnsemble—0
Cognitive Learning-Aided Multi-Antenna Communications—0
Ensemble Learning with Manifold-Based Data Splitting for Noisy Label Correction—0
Ensemble Kernel Methods, Implicit Regularization and Determinantal Point Processes—0
CoFinDiff: Controllable Financial Diffusion Model for Time Series Generation—0
A Reinforced Topic-Aware Convolutional Sequence-to-Sequence Model for Abstractive Text Summarization—0
Ensemble Forecasting of Monthly Electricity Demand using Pattern Similarity-based Methods—0
Ensemble Federated Adversarial Training with Non-IID data—0
Ensemble Feature Extraction for Multi-Container Quality-Diversity Algorithms—0
Co-eye: A Multi-resolution Symbolic Representation to TimeSeries Diversified Ensemble Classification—0
A Regression Framework for Predicting User's Next Location using Call Detail Records—0
AGAD: Adversarial Generative Anomaly Detection—0
A CSI Dataset for Wireless Human Sensing on 80 MHz Wi-Fi Channels—0
Co-existence of Micro, Pico and Atto Cells in Optical Wireless Communication—0
Self-Distillation Prototypes Network: Learning Robust Speaker Representations without Supervision—0
Ensemble Defense with Data Diversity: Weak Correlation Implies Strong Robustness—0
Coexistence of critical sensitivity and subcritical specificity can yield optimal population coding—0
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