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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 6001–6025 of 9051 papers

TitleStatusHype
Unified BERT for Few-shot Natural Language Understanding—0
UniForm: A Unified Multi-Task Diffusion Transformer for Audio-Video Generation—0
Unify and Triumph: Polyglot, Diverse, and Self-Consistent Generation of Unit Tests with LLMs—0
Unifying Behavioral and Response Diversity for Open-ended Learning in Zero-sum Games—0
Unifying Ensemble Methods for Q-learning via Social Choice Theory—0
Unifying Layout Generation with a Decoupled Diffusion Model—0
UniGarmentManip: A Unified Framework for Category-Level Garment Manipulation via Dense Visual Correspondence—0
UniGlyph: A Seven-Segment Script for Universal Language Representation—0
UniHDA: A Unified and Versatile Framework for Multi-Modal Hybrid Domain Adaptation—0
UniPELT: A Unified Framework for Parameter-Efficient Language Model Tuning—0
Unispeaker: A Unified Approach for Multimodality-driven Speaker Generation—0
United in Diversity? Contextual Biases in LLM-Based Predictions of the 2024 European Parliament Elections—0
Unity in Diversity: A Unified Parsing Strategy for Major Indian Languages—0
Unity in Diversity: Learning Distributed Heterogeneous Sentence Representation for Extractive Summarization—0
Unity in Diversity: Multi-expert Knowledge Confrontation and Collaboration for Generalizable Vehicle Re-identification—0
Unity in Diversity: Video Editing via Gradient-Latent Purification—0
Universal and data-adaptive algorithms for model selection in linear contextual bandits—0
Universal and generalizable restoration strategies for degraded ecological networks—0
Universal Cold RNA Phase Transitions—0
Universal Dependencies for Punjabi—0
Universal Features Guided Zero-Shot Category-Level Object Pose Estimation—0
Universal Information Extraction as Unified Semantic Matching—0
Universal Joy A Data Set and Results for Classifying Emotions Across Languages—0
Universal point spread function engineering for 3D optical information processing—0
Universal Pooling -- A New Pooling Method for Convolutional Neural Networks—0
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