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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 3576–3600 of 9051 papers

TitleStatusHype
Exploring the Use of Large Language Models for Reference-Free Text Quality Evaluation: An Empirical Study—0
A Small but Informed and Diverse Model: The Case of the Multimodal GuessWhat!? Guessing Game—0
Fairness on Synthetic Visual and Thermal Mask Images—0
FairRAG: Fair Human Generation via Fair Retrieval Augmentation—0
FairSkin: Fair Diffusion for Skin Disease Image Generation—0
A Hybrid Bandit Framework for Diversified Recommendation—0
Exploring the Robustness of Human Parsers Towards Common Corruptions—0
Exploring the Relationship Between Diversity and Quality in Ad Text Generation—0
Conditional Distribution Modelling for Few-Shot Image Synthesis with Diffusion Models—0
Fake It Till You Make It: Face analysis in the wild using synthetic data alone—0
As long as you talk about me: The importance of family firm brands and the contingent role of family-firm identity—0
Exploring the Quality of GAN Generated Images for Person Re-Identification—0
Fantastic Style Channels and Where to Find Them: A Submodular Framework for Discovering Diverse Directions in GANs—0
Exploring the Potentials and Challenges of Using Large Language Models for the Analysis of Transcriptional Regulation of Long Non-coding RNAs—0
Farthest Greedy Path Sampling for Two-shot Recommender Search—0
CONDEN-FI: Consistency and Diversity Learning-based Multi-View Unsupervised Feature and In-stance Co-Selection—0
Fast ABC with joint generative modelling and subset simulation—0
Fast Adaptation in Generative Models with Generative Matching Networks—0
Ask to Understand: Question Generation for Multi-hop Question Answering—0
Fast and High Quality Highlight Removal from A Single Image—0
A Holistic Evaluation of Piano Sound Quality—0
Fast and Robust: Task Sampling with Posterior and Diversity Synergies for Adaptive Decision-Makers in Randomized Environments—0
Active Learning for Lane Detection: A Knowledge Distillation Approach—0
Exploring the Law of Numbers: Evidence from China's Real Estate—0
Exploring the influence of fine-tuning data on wav2vec 2.0 model for blind speech quality prediction—0
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