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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 4851–4875 of 9051 papers

TitleStatusHype
KGEval: Estimating Accuracy of Automatically Constructed Knowledge Graphs—0
beta-FFT: Nonlinear Interpolation and Differentiated Training Strategies for Semi-Supervised Medical Image Segmentation—0
Kidney Recognition in CT Using YOLOv3—0
Towards Confidence-aware Calibrated Recommendation—0
Towards Continuous Domain adaptation for Healthcare—0
Best Student Forcing: A Simple Training Mechanism in Adversarial Language Generation—0
k-mer-based approaches to bridging pangenomics and population genetics—0
KMS states of Information Flow in Directed Brain Synaptic Networks—0
Knapsack Constrained Contextual Submodular List Prediction with Application to Multi-document Summarization—0
kNN-Embed: Locally Smoothed Embedding Mixtures For Multi-interest Candidate Retrieval—0
Knolling Bot: Learning Robotic Object Arrangement from Tidy Demonstrations—0
Knowledge-augmented Few-shot Visual Relation Detection—0
Knowledge-aware Autoencoders for Explainable Recommender Sytems—0
Knowledge-aware Text-Image Retrieval for Remote Sensing Images—0
Enhancing Unsupervised Sentence Embeddings via Knowledge-Driven Data Augmentation and Gaussian-Decayed Contrastive Learning—0
Knowledge Distillation and Dataset Distillation of Large Language Models: Emerging Trends, Challenges, and Future Directions—0
Knowledge Distillation to Ensemble Global and Interpretable Prototype-Based Mammogram Classification Models—0
Knowledge-enriched, Type-constrained and Grammar-guided Question Generation over Knowledge Bases—0
Best-k Search Algorithm for Neural Text Generation—0
Knowledge Graph Based Agent for Complex, Knowledge-Intensive QA in Medicine—0
Active learning for interactive satellite image change detection—0
Bespoke Non-Stationary Solvers for Fast Sampling of Diffusion and Flow Models—0
BERT for Target Apps Selection: Analyzing the Diversity and Performance of BERT in Unified Mobile Search—0
Knowledge Learning with Crowdsourcing: A Brief Review and Systematic Perspective—0
Towards Controlled and Diverse Generation of Article Comments—0
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