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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 776–800 of 9051 papers

TitleStatusHype
RSMT: Real-time Stylized Motion Transition for CharactersCode1
grenedalf: population genetic statistics for the next generation of pool sequencingCode1
Explicit Syntactic Guidance for Neural Text GenerationCode1
GenPlot: Increasing the Scale and Diversity of Chart Derendering DataCode1
CAPRI: Context-Aware Interpretable Point-of-Interest Recommendation FrameworkCode1
FALL-E: A Foley Sound Synthesis Model and StrategiesCode1
Understanding Deep Generative Models with Generalized Empirical LikelihoodsCode1
Text Promptable Surgical Instrument Segmentation with Vision-Language ModelsCode1
Taming Diffusion Models for Music-driven Conducting Motion GenerationCode1
Domain-specific ChatBots for Science using EmbeddingsCode1
TopP&R: Robust Support Estimation Approach for Evaluating Fidelity and Diversity in Generative ModelsCode1
Feature Fusion from Head to Tail for Long-Tailed Visual RecognitionCode1
Towards Diverse and Effective Question-Answer Pair Generation from Children StorybooksCode1
HQ-50K: A Large-scale, High-quality Dataset for Image RestorationCode1
Stochastic Multi-Person 3D Motion ForecastingCode1
Rewarded soups: towards Pareto-optimal alignment by interpolating weights fine-tuned on diverse rewardsCode1
Value Functions are Control Barrier Functions: Verification of Safe Policies using Control TheoryCode1
Generative Flow Network for Listwise RecommendationCode1
GPT-FL: Generative Pre-trained Model-Assisted Federated LearningCode1
LLMatic: Neural Architecture Search via Large Language Models and Quality Diversity OptimizationCode1
Diverse and Faithful Knowledge-Grounded Dialogue Generation via Sequential Posterior InferenceCode1
Spontaneous Symmetry Breaking in Generative Diffusion ModelsCode1
Accurate and Efficient Structural Ensemble Generation of Macrocyclic Peptides using Internal Coordinate DiffusionCode1
DiffSketching: Sketch Control Image Synthesis with Diffusion ModelsCode1
Rethinking Masked Language Modeling for Chinese Spelling CorrectionCode1
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