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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 3101–3125 of 9051 papers

TitleStatusHype
Empowering Backbone Models for Visual Text Generation with Input Granularity Control and Glyph-Aware Training—0
Empowering Large Language Models for Textual Data Augmentation—0
Expecting the Unexpected: Developing Autonomous-System Design Principles for Reacting to Unpredicted Events and Conditions—0
Empowering Time Series Analysis with Synthetic Data: A Survey and Outlook in the Era of Foundation Models—0
Emulating Full Participation: An Effective and Fair Client Selection Strategy for Federated Learning—0
Climate land use and other drivers impacts on island ecosystem services: a global review—0
Diversity and Inclusion Index with Networks and Similarity: Analysis and its Application—0
Enabling Natural Zero-Shot Prompting on Encoder Models via Statement-Tuning—0
Encoding architecture algebra—0
Clinical Evaluation of Medical Image Synthesis: A Case Study in Wireless Capsule Endoscopy—0
Diversity and Inclusion in Artificial Intelligence—0
Bridging Geometry-Coherent Text-to-3D Generation with Multi-View Diffusion Priors and Gaussian Splatting—0
End-to-End 3D Multi-Object Tracking and Trajectory Forecasting—0
CLIP-Gaze: Towards General Gaze Estimation via Visual-Linguistic Model—0
End-to-End Adversarial Learning for Intrusion Detection in Computer Networks—0
End-to-End Autoregressive Retrieval via Bootstrapping for Smart Reply Systems—0
Diversity and Inclusion in AI for Recruitment: Lessons from Industry Workshop—0
End-to-end Learnable Diversity-aware News Recommendation—0
Bridging Diversity and Uncertainty in Active learning with Self-Supervised Pre-Training—0
An Investigation of the (In)effectiveness of Counterfactually Augmented Data—0
A Combined CNN and LSTM Model for Arabic Sentiment Analysis—0
Energy-Conscious LLM Decoding: Impact of Text Generation Strategies on GPU Energy Consumption—0
Energy-Efficient Design of Broad Beams for Massive MIMO Systems—0
Energy-Latency Manipulation of Multi-modal Large Language Models via Verbose Samples—0
Diversity and Diffusion: Observations on Synthetic Image Distributions with Stable Diffusion—0
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