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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 2326–2350 of 9051 papers

TitleStatusHype
Optimizing Pretraining Data Mixtures with LLM-Estimated Utility—0
Embedding-Driven Diversity Sampling to Improve Few-Shot Synthetic Data Generation—0
OMoE: Diversifying Mixture of Low-Rank Adaptation by Orthogonal Finetuning—0
GVMGen: A General Video-to-Music Generation Model with Hierarchical Attentions—0
AugRefer: Advancing 3D Visual Grounding via Cross-Modal Augmentation and Spatial Relation-based Referring—0
Aligning Instruction Tuning with Pre-training—0
AI in Support of Diversity and Inclusion—0
Text Semantics to Flexible Design: A Residential Layout Generation Method Based on Stable Diffusion Model—0
Democratizing AI Governance: Balancing Expertise and Public Participation—0
SoccerSynth-Detection: A Synthetic Dataset for Soccer Player Detection—0
A Novel Multiple Interval Prediction Method for Electricity Prices based on Scenarios Generation: Definition and Method—0
Scenarios Generation-based Multiple Interval Prediction Method for Electricity Prices—0
iTool: Boosting Tool Use of Large Language Models via Iterative Reinforced Fine-Tuning—0
Exploring the Efficacy of Meta-Learning: Unveiling Superior Data Diversity Utilization of MAML Over Pre-training—0
Formalising lexical and syntactic diversity for data sampling in French—0
Orthogonal Delay-Doppler Division Multiplexing Modulation with Hierarchical Mode-Based Index Modulation—0
Target Detection in OFDM-ISAC Systems: A Multipath Exploitation Approach—0
Foundation Models at Work: Fine-Tuning for Fairness in Algorithmic HiringCode0
Microphone Array Signal Processing and Deep Learning for Speech Enhancement—0
Enhancing Image Generation Fidelity via Progressive PromptsCode0
Unveiling Temporal Trends in 19th Century Literature: An Information Retrieval Approach—0
Bridging the Fairness Gap: Enhancing Pre-trained Models with LLM-Generated Sentences—0
DivTrackee versus DynTracker: Promoting Diversity in Anti-Facial Recognition against Dynamic FR StrategyCode0
Deep Reinforcement Learning Optimized Intelligent Resource Allocation in Active RIS-Integrated TN-NTN Networks—0
Unispeaker: A Unified Approach for Multimodality-driven Speaker Generation—0
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