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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 2926–2950 of 9051 papers

TitleStatusHype
Dual-Interrelated Diffusion Model for Few-Shot Anomaly Image Generation—0
DiversityGAN: Diversity-Aware Vehicle Motion Prediction via Latent Semantic Sampling—0
BSDAR: Beam Search Decoding with Attention Reward in Neural Keyphrase Generation—0
Diversity-aware social robots meet people: beyond context-aware embodied AI—0
Dual-Student Knowledge Distillation Networks for Unsupervised Anomaly Detection—0
C-Flow: Conditional Generative Flow Models for Images and 3D Point Clouds—0
AnyFace: Free-style Text-to-Face Synthesis and Manipulation—0
DUAW: Data-free Universal Adversarial Watermark against Stable Diffusion Customization—0
DUEL: Duplicate Elimination on Active Memory for Self-Supervised Class-Imbalanced Learning—0
Diversity-Aware Sign Language Production through a Pose Encoding Variational Autoencoder—0
DUM: Diversity-Weighted Utility Maximization for Recommendations—0
CG-NeRF: Conditional Generative Neural Radiance Fields—0
DVCFlow: Modeling Information Flow Towards Human-like Video Captioning—0
Brush2Prompt: Contextual Prompt Generator for Object Inpainting—0
Annotation Efficient Person Re-Identification with Diverse Cluster-Based Pair Selection—0
BRUDEX Database: Binaural Room Impulse Responses with Uniformly Distributed External Microphones—0
Diversity-Aware Reinforcement Learning for de novo Drug Design—0
Annotation Cost-Efficient Active Learning for Deep Metric Learning Driven Remote Sensing Image Retrieval—0
Diversity-Aware Policy Optimization for Large Language Model Reasoning—0
Diversity-aware Multi-Video Summarization—0
ChaLearn LAP Large Scale Signer Independent Isolated Sign Language Recognition Challenge: Design, Results and Future Research—0
BROS: A Pre-trained Language Model for Understanding Texts in Document—0
Dynamic ensemble selection based on Deep Neural Network Uncertainty Estimation for Adversarial Robustness—0
Advances in Diffusion Models for Image Data Augmentation: A Review of Methods, Models, Evaluation Metrics and Future Research Directions—0
Oblique and rotation double random forest—0
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