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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

Showing 55515575 of 9051 papers

TitleStatusHype
Table-to-Text Generation with Pretrained Diffusion Models0
TaCIE: Enhancing Instruction Comprehension in Large Language Models through Task-Centred Instruction Evolution0
Tackling Bias in Pre-trained Language Models: Current Trends and Under-represented Societies0
Tailor: An Integrated Text-Driven CG-Ready Human and Garment Generation System0
Tailoring Generative Adversarial Networks for Smooth Airfoil Design0
Taking the Scenic Route: Automatic Exploration for Videogames0
Taming and Leveraging Interference in Mobile Radar Networks0
Taming Latent Diffusion Model for Neural Radiance Field Inpainting0
Taming Repetition in Dialogue Generation0
TANGLED: Generating 3D Hair Strands from Images with Arbitrary Styles and Viewpoints0
TARDiS : Text Augmentation for Refining Diversity and Separability0
Target Conditioning for One-to-Many Generation0
Target Detection in OFDM-ISAC Systems: A Multipath Exploitation Approach0
Targeted AMP generation through controlled diffusion with efficient embeddings0
Targeted Augmentation for Low-Resource Event Extraction0
PatchZero: Defending against Adversarial Patch Attacks by Detecting and Zeroing the Patch0
TaskMix: Data Augmentation for Meta-Learning of Spoken Intent Understanding0
TA-Student VQA: Multi-Agents Training by Self-Questioning0
T cell receptor binding prediction: A machine learning revolution0
Teaching to Teach by Structured Dark Knowledge0
Technical Report: Competition Solution For BetterMixture0
Techtile -- Open 6G R&D Testbed for Communication, Positioning, Sensing, WPT and Federated Learning0
Teleconnection patterns of different El Niño types revealed by climate network curvature0
Template-based eukaryotic genome editing directed by SviCas30
Temporal Distinct Representation Learning for Action Recognition0
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