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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 4351–4375 of 9051 papers

TitleStatusHype
Differentia compositionem facit. A Slower-Paced and Reliable Parser for Latin—0
beta-FFT: Nonlinear Interpolation and Differentiated Training Strategies for Semi-Supervised Medical Image Segmentation—0
Improving the Transferability of Adversarial Examples by Inverse Knowledge Distillation—0
Differentiable Projection-based Learn to Optimize in Wireless Network-Part I: Convex Constrained (Non-)Convex Programming—0
Best Student Forcing: A Simple Training Mechanism in Adversarial Language Generation—0
A Nature-Inspired Colony of Artificial Intelligence System with Fast, Detailed, and Organized Learner Agents for Enhancing Diversity and Quality—0
Discretized Gaussian Representation for Tomographic Reconstruction—0
Differences in type-token ratio and part-of-speech frequencies in male and female Russian written texts—0
Best-k Search Algorithm for Neural Text Generation—0
A Natural Diet: Towards Improving Naturalness of Machine Translation Output—0
DiffCSS: Diverse and Expressive Conversational Speech Synthesis with Diffusion Models—0
Diff-CAPTCHA: An Image-based CAPTCHA with Security Enhanced by Denoising Diffusion Model—0
Bespoke Non-Stationary Solvers for Fast Sampling of Diffusion and Flow Models—0
DiffCap: Exploring Continuous Diffusion on Image Captioning—0
BERT for Target Apps Selection: Analyzing the Diversity and Performance of BERT in Unified Mobile Search—0
Improving the Robustness of Large Language Models via Consistency Alignment—0
Improving Topic Coherence with Regularized Topic Models—0
Incremental Multi-graph Matching via Diversity and Randomness based Graph Clustering—0
Cap2Aug: Caption guided Image to Image data Augmentation—0
Diff3DETR:Agent-based Diffusion Model for Semi-supervised 3D Object Detection—0
Bengali Common Voice Speech Dataset for Automatic Speech Recognition—0
A Natural Diet: Towards Improving Naturalness of Machine Translation Output—0
Fast Rates in Pool-Based Batch Active Learning—0
Dictionary and Image Recovery from Incomplete and Random Measurements—0
DiCoFlex: Model-agnostic diverse counterfactuals with flexible control—0
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