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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 2051–2075 of 9051 papers

TitleStatusHype
A Hybrid Frame Structure Design of OTFS for Multi-tasks Communications—0
Discretized Gaussian Representation for Tomographic Reconstruction—0
Differential Evolution with Individuals Redistribution for Real Parameter Single Objective Optimization—0
Conditional Single-view Shape Generation for Multi-view Stereo Reconstruction—0
A small Griko-Italian speech translation corpus—0
A Hybrid Bandit Framework for Diversified Recommendation—0
Conditional Neural Generation using Sub-Aspect Functions for Extractive News Summarization—0
A Small but Informed and Diverse Model: The Case of the Multimodal GuessWhat!? Guessing Game—0
DiffCap: Exploring Continuous Diffusion on Image Captioning—0
Conditional Distribution Modelling for Few-Shot Image Synthesis with Diffusion Models—0
As long as you talk about me: The importance of family firm brands and the contingent role of family-firm identity—0
Ask to Understand: Question Generation for Multi-hop Question Answering—0
CONDEN-FI: Consistency and Diversity Learning-based Multi-View Unsupervised Feature and In-stance Co-Selection—0
A Holistic Evaluation of Piano Sound Quality—0
Active Learning for Lane Detection: A Knowledge Distillation Approach—0
Diff-CAPTCHA: An Image-based CAPTCHA with Security Enhanced by Denoising Diffusion Model—0
Ask-n-Learn: Active Learning via Reliable Gradient Representations for Image Classification—0
Conceptual Mapping of Controversies—0
A high fidelity synthetic face framework for computer vision—0
Conceptual Content in Deep Convolutional Neural Networks: An analysis into multi-faceted properties of neurons—0
Conceptual capacity and effective complexity of neural networks—0
Active learning for interactive satellite image change detection—0
Conceptors: an easy introduction—0
Concept-Monitor: Understanding DNN training through individual neurons—0
A Simulation Study of Bandit Algorithms to Address External Validity of Software Fault Prediction—0
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