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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 7501–7525 of 9051 papers

TitleStatusHype
AIDE: Task-Specific Fine Tuning with Attribute Guided Multi-Hop Data Expansion—0
A Novel Task-Oriented Text Corpus in Silent Speech Recognition and its Natural Language Generation Construction Method—0
AIDE: Antithetical, Intent-based, and Diverse Example-Based Explanations—0
AID++: An Updated Version of AID on Scene Classification—0
SIGMORPHON 2021 Shared Task on Morphological Reinflection: Generalization Across Languages—0
Variational Cross-Graph Reasoning and Adaptive Structured Semantics Learning for Compositional Temporal Grounding—0
Significant Ties Graph Neural Networks for Continuous-Time Temporal Networks Modeling—0
Variational Embedding Multiscale Sample Entropy:complexity-based analysis for multichannel systems—0
SigVIC: Spatial Importance Guided Variable-Rate Image Compression—0
AI Competitions and Benchmarks: Competition platforms—0
SiLK: Simple Learned Keypoints—0
SILMM: Self-Improving Large Multimodal Models for Compositional Text-to-Image Generation—0
Sim2real transfer learning for 3D human pose estimation: motion to the rescue—0
SimGen: Simulator-conditioned Driving Scene Generation—0
SimHumalator: An Open Source WiFi Based Passive Radar Human Simulator For Activity Recognition—0
Similarity-based Learning via Data Driven Embeddings—0
Similarity-Based Reconstruction Loss for Meaning Representation—0
Similarity of Information and Collective Action—0
Similarity of Neural Architectures using Adversarial Attack Transferability—0
AIBench Scenario: Scenario-distilling AI Benchmarking—0
AI-based Reconstruction for Fast MRI -- A Systematic Review and Meta-analysis—0
Simon @ LT-EDI-EACL2021: Detecting Hope Speech with BERT—0
A 2030 United States Macro Grid Unlocking Geographical Diversity to Accomplish Clean Energy Goals—0
AI and the EU Digital Markets Act: Addressing the Risks of Bigness in Generative AI—0
Variational Multi-Modal Hypergraph Attention Network for Multi-Modal Relation Extraction—0
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