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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 826–850 of 9051 papers

TitleStatusHype
A New Formulation of Lipschitz Constrained With Functional Gradient Learning for GANsCode4
Block Flow: Learning Straight Flow on Data BlocksCode0
Optimizing Pretraining Data Mixtures with LLM-Estimated Utility—0
OMoE: Diversifying Mixture of Low-Rank Adaptation by Orthogonal Finetuning—0
Evaluation and Efficiency Comparison of Evolutionary Algorithms for Service Placement Optimization in Fog ArchitecturesCode1
GVMGen: A General Video-to-Music Generation Model with Hierarchical Attentions—0
FoundationStereo: Zero-Shot Stereo MatchingCode7
Democratizing AI Governance: Balancing Expertise and Public Participation—0
Aligning Instruction Tuning with Pre-training—0
SoccerSynth-Detection: A Synthetic Dataset for Soccer Player Detection—0
AI in Support of Diversity and Inclusion—0
AugRefer: Advancing 3D Visual Grounding via Cross-Modal Augmentation and Spatial Relation-based Referring—0
Text Semantics to Flexible Design: A Residential Layout Generation Method Based on Stable Diffusion Model—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
Target Detection in OFDM-ISAC Systems: A Multipath Exploitation Approach—0
Orthogonal Delay-Doppler Division Multiplexing Modulation with Hierarchical Mode-Based Index Modulation—0
Formalising lexical and syntactic diversity for data sampling in French—0
DH-Mamba: Exploring Dual-domain Hierarchical State Space Models for MRI ReconstructionCode1
Microphone Array Signal Processing and Deep Learning for Speech Enhancement—0
Foundation Models at Work: Fine-Tuning for Fairness in Algorithmic HiringCode0
Enhancing Image Generation Fidelity via Progressive PromptsCode0
Unveiling Temporal Trends in 19th Century Literature: An Information Retrieval Approach—0
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