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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 1501–1525 of 9051 papers

TitleStatusHype
Enhancing Solution Efficiency in Reinforcement Learning: Leveraging Sub-GFlowNet and Entropy Integration—0
Improved Generation of Synthetic Imaging Data Using Feature-Aligned DiffusionCode0
Exploring Empty Spaces: Human-in-the-Loop Data AugmentationCode1
Teuken-7B-Base & Teuken-7B-Instruct: Towards European LLMs—0
Exploring Social Media Image Categorization Using Large Models with Different Adaptation Methods: A Case Study on Cultural Nature's Contributions to People—0
DCAST: Diverse Class-Aware Self-Training Mitigates Selection Bias for Fairer LearningCode0
Erase, then Redraw: A Novel Data Augmentation Approach for Free Space Detection Using Diffusion Model—0
OpenKD: Opening Prompt Diversity for Zero- and Few-shot Keypoint DetectionCode1
MemSim: A Bayesian Simulator for Evaluating Memory of LLM-based Personal AssistantsCode1
COLLAGE: Collaborative Human-Agent Interaction Generation using Hierarchical Latent Diffusion and Language Models—0
Temporal Source Recovery for Time-Series Source-Free Unsupervised Domain AdaptationCode0
Video DataFlywheel: Resolving the Impossible Data Trinity in Video-Language Understanding—0
Text-driven Human Motion Generation with Motion Masked Diffusion Model—0
When Molecular GAN Meets Byte-Pair Encoding—0
Investigating the Impact of Text Summarization on Topic Modeling—0
Conditional Image Synthesis with Diffusion Models: A SurveyCode2
Introducing SDICE: An Index for Assessing Diversity of Synthetic Medical Datasets—0
On the Power of Decision Trees in Auto-Regressive Language Modeling—0
Diverse Code Query Learning for Speech-Driven Facial Animation—0
Effects of AI Feedback on Learning, the Skill Gap, and Intellectual Diversity—0
Challenges of Generating Structurally Diverse GraphsCode0
MinerU: An Open-Source Solution for Precise Document Content ExtractionCode16
Leveraging Long-Context Large Language Models for Multi-Document Understanding and Summarization in Enterprise Applications—0
WHOMP: Optimizing Randomized Controlled Trials via Wasserstein HomogeneityCode0
Reducing Diversity to Generate Hierarchical Archetypes—0
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