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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 4951–4975 of 9051 papers

TitleStatusHype
Towards Diverse and Natural Scene-aware 3D Human Motion Synthesis—0
Large Language Models Suffer From Their Own Output: An Analysis of the Self-Consuming Training Loop—0
Large-Margin Determinantal Point Processes—0
Active Adversarial Domain Adaptation—0
Towards Diverse Paraphrase Generation Using Multi-Class Wasserstein GAN—0
Large-Scale, Diverse, Paraphrastic Bitexts via Sampling and Clustering—0
Being Considerate as a Pathway Towards Pluralistic Alignment for Agentic AI—0
Behaviour Planning: A Toolkit for Diverse Planning—0
What leads to generalization of object proposals?—0
Large Scale Photometric Bundle Adjustment—0
Behavioural Repertoire via Generative Adversarial Policy Networks—0
Large-scale Reinforcement Learning for Diffusion Models—0
Large-Scale Survey of Cell-Differentiation Programs in a Generative Model Reveals Regeneration as an Epiphenomenon of Development—0
Behavioral Repertoires for Soft Tensegrity Robots—0
Behavioral Malware Classification using Convolutional Recurrent Neural Networks—0
Behaviorally Diverse Traffic Simulation via Reinforcement Learning—0
BEHAVIOR-1K: A Human-Centered, Embodied AI Benchmark with 1,000 Everyday Activities and Realistic Simulation—0
Lasso Bandit with Compatibility Condition on Optimal Arm—0
Lasting Diversity and Superior Runtime Guarantees for the (μ+1) Genetic Algorithm—0
Beefmoves: Dissemination, Diversity, and Dynamics of English Borrowings in a German Hip Hop Forum—0
LatentCRF: Continuous CRF for Efficient Latent Diffusion—0
Becoming More Robust to Label Noise with Classifier Diversity—0
Latent Filter Scaling for Multimodal Unsupervised Image-to-Image Translation—0
Action Unit Memory Network for Weakly Supervised Temporal Action Localization—0
Latent Lexical Projection in Large Language Models: A Novel Approach to Implicit Representation Refinement—0
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