SOTAVerified

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

Showing 57265750 of 9051 papers

TitleStatusHype
CausalAF: Causal Autoregressive Flow for Safety-Critical Driving Scenario Generation0
Partial Order in Chaos: Consensus on Feature Attributions in the Rashomon SetCode0
AugMax: Adversarial Composition of Random Augmentations for Robust TrainingCode1
Diversity and Generalization in Neural Network EnsemblesCode0
Improving the Diversity of Unsupervised Paraphrasing with Embedding OutputsCode0
Regularizing Variational Autoencoder with Diversity and Uncertainty AwarenessCode0
MIGS: Meta Image Generation from Scene GraphsCode0
Diversified Sampling for Batched Bayesian Optimization with Determinantal Point Processes0
BlendGAN: Implicitly GAN Blending for Arbitrary Stylized Face GenerationCode1
Effect of delay on the emergent stability patterns in Generalized Lotka-Volterra ecological dynamics0
Gram-Elites: N-Gram Based Quality-Diversity SearchCode0
Lewontin (1972)0
Learning 3D Semantic Segmentation with only 2D Image Supervision0
LC3Net: Ladder context correlation complementary network for salient object detection0
SYNERGY: Building Task Bots at Scale Using Symbolic Knowledge and Machine Teaching0
Generative Adversarial Graph Convolutional Networks for Human Action SynthesisCode1
MUGL: Large Scale Multi Person Conditional Action Generation with LocomotionCode1
Heritability in Morphological Robot Evolution0
Model Composition: Can Multiple Neural Networks Be Combined into a Single Network Using Only Unlabeled Data?Code0
Improved cooperation by balancing exploration and exploitation in intertemporal social dilemma tasks0
As long as you talk about me: The importance of family firm brands and the contingent role of family-firm identity0
A Picture is Worth a Thousand Words: A Unified System for Diverse Captions and Rich Images GenerationCode1
Cyclic Prefix (CP) Jamming Against Eavesdropping Relays in OFDM Systems0
Result Diversification by Multi-objective Evolutionary Algorithms with Theoretical GuaranteesCode0
FacialGAN: Style Transfer and Attribute Manipulation on Synthetic FacesCode1
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