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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 251–275 of 9051 papers

TitleStatusHype
EuLearn: A 3D database for learning Euler characteristicsCode0
Guiding Diffusion with Deep Geometric Moments: Balancing Fidelity and Variation—0
EvoGPT: Enhancing Test Suite Robustness via LLM-Based Generation and Genetic Optimization—0
Wisdom from Diversity: Bias Mitigation Through Hybrid Human-LLM Crowds—0
Beyond Single-Point Judgment: Distribution Alignment for LLM-as-a-Judge—0
Attention-Enhanced U-Net for Accurate Segmentation of COVID-19 Infected Lung Regions in CT Scans—0
Exploring Sparsity for Parameter Efficient Fine Tuning Using WaveletsCode0
Spectral-Spatial Self-Supervised Learning for Few-Shot Hyperspectral Image ClassificationCode1
WaLRUS: Wavelets for Long-range Representation Using SSMs—0
SGD-Mix: Enhancing Domain-Specific Image Classification with Label-Preserving Data Augmentation—0
EarthSynth: Generating Informative Earth Observation with Diffusion Models—0
HISTAI: An Open-Source, Large-Scale Whole Slide Image Dataset for Computational PathologyCode2
GenZSL: Generative Zero-Shot Learning Via Inductive Variational AutoencoderCode0
EcoSafeRAG: Efficient Security through Context Analysis in Retrieval-Augmented Generation—0
Spectral Policy Optimization: Coloring your Incorrect Reasoning in GRPO—0
LoFT: LoRA-fused Training Dataset Generation with Few-shot GuidanceCode0
HelpSteer3-Preference: Open Human-Annotated Preference Data across Diverse Tasks and Languages—0
From Intent Discovery to Recognition with Topic Modeling and Synthetic Data—0
Review-Instruct: A Review-Driven Multi-Turn Conversations Generation Method for Large Language ModelsCode0
X2C: A Dataset Featuring Nuanced Facial Expressions for Realistic Humanoid ImitationCode1
Evaluations at Work: Measuring the Capabilities of GenAI in Use—0
Angle diversity receiver as a key enabler for reliable ORIS-based Visible Light Communication—0
Choices or constraints: decoding financial empowerment among women entrepreneurs in France—0
Robust Federated Learning on Edge Devices with Domain Heterogeneity—0
UniEval: Unified Holistic Evaluation for Unified Multimodal Understanding and Generation—0
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