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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 7351–7400 of 9051 papers

TitleStatusHype
SELA: Tree-Search Enhanced LLM Agents for Automated Machine Learning—0
Select before Act: Spatially Decoupled Action Repetition for Continuous Control—0
Selecting Backtranslated Data from Multiple Sources for Improved Neural Machine Translation—0
Selecting Better Samples from Pre-trained LLMs: A Case Study on Question Generation—0
Selecting Diverse Features via Spectral Regularization—0
Selecting for Selection: Learning To Balance Adaptive and Diversifying Pressures in Evolutionary Search—0
Selection-Expansion: A Unifying Framework for Motion-Planning and Diversity Search Algorithms—0
Mutation Effect Generalizability under Selection-Drift—0
Selective clustering ensemble based on kappa and F-score—0
Selective Focusing Learning in Conditional GANs—0
Selectively increasing the diversity of GAN-generated samples—0
Amended Cross Entropy Cost: Framework For Explicit Diversity Encouragement—0
Using the Overlapping Score to Improve Corruption Benchmarks—0
Utilizing Differential Evolution into optimizing targeted cancer treatments—0
Self-Adversarial Learning with Comparative Discrimination for Text Generation—0
AMD:Anatomical Motion Diffusion with Interpretable Motion Decomposition and Fusion—0
Self-attention Multi-view Representation Learning with Diversity-promoting Complementarity—0
A Massively Parallel Associative Memory Based on Sparse Neural Networks—0
Utilizing Large Language Models to Synthesize Product Desirability Datasets—0
Self-Consuming Generative Models Go MAD—0
A 'MAP' to find high-performing soft robot designs: Traversing complex design spaces using MAP-elites and Topology Optimization—0
A Many-Objective Evolutionary Algorithm With Two Interacting Processes: Cascade Clustering and Reference Point Incremental Learning—0
Self-Distillation Prototypes Network: Learning Robust Speaker Representations without Supervision—0
A Many-Objective Evolutionary Algorithm Based on Decomposition and Local Dominance—0
Wisdom from Diversity: Bias Mitigation Through Hybrid Human-LLM Crowds—0
Self-Feedback DETR for Temporal Action Detection—0
Always Strengthen Your Strengths: A Drift-Aware Incremental Learning Framework for CTR Prediction—0
AlphaStar: An Evolutionary Computation Perspective—0
Self-Paced Learning with Diversity—0
Utilizing Transfer Learning and a Customized Loss Function for Optic Disc Segmentation from Retinal Images—0
A Low Complexity Space-Frequency Multiuser Scheduling Algorithm—0
Self-Referential Quality Diversity Through Differential Map-Elites—0
A local continuum model of cell-cell adhesion—0
Self-reinforcing Unsupervised Matching—0
Self-Segregating and Coordinated-Segregating Transformer for Focused Deep Multi-Modular Network for Visual Question Answering—0
A Load Balanced Recommendation Approach—0
All You Need Is Sex for Diversity—0
Self-Supervised Deep Learning to Enhance Breast Cancer Detection on Screening Mammography—0
Allowing for equal opportunities for artists in music recommendation—0
Self-Supervised Graph Neural Networks for Enhanced Feature Extraction in Heterogeneous Information Networks—0
Self-supervised Human Mesh Recovery with Cross-Representation Alignment—0
Self-supervised Image Clustering from Multiple Incomplete Views via Constrastive Complementary Generation—0
All or None: Identifiable Linear Properties of Next-token Predictors in Language Modeling—0
Utilizing TTS Synthesized Data for Efficient Development of Keyword Spotting Model—0
Self-Supervised Light Field Depth Estimation Using Epipolar Plane Images—0
Self-supervised Multi-level Face Model Learning for Monocular Reconstruction at over 250 Hz—0
Self-supervised Representation Learning for Trip Recommendation—0
Wisdom of Crowds cluster ensemble—0
Alleviating Search Bias in Bayesian Evolutionary Optimization with Many Heterogeneous Objectives—0
Self-Supervised Visual Acoustic Matching—0
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