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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 2901–2950 of 9051 papers

TitleStatusHype
Cause-Aware Empathetic Response Generation via Chain-of-Thought Fine-Tuning—0
Ensembles of Random SHAPs—0
Ensemble Squared: A Meta AutoML System—0
DreamTime: An Improved Optimization Strategy for Diffusion-Guided 3D Generation—0
Diversity Boosted Learning for Domain Generalization with Large Number of Domains—0
Building-GAN: Graph-Conditioned Architectural Volumetric Design Generation—0
DriveGen: Towards Infinite Diverse Traffic Scenarios with Large Models—0
DriveSceneGen: Generating Diverse and Realistic Driving Scenarios from Scratch—0
Diversity-Based Recruitment in Crowdsensing By Combinatorial Multi-Armed Bandits—0
DROP: Dynamics Responses from Human Motion Prior and Projective Dynamics—0
Building Bridge Across the Time: Disruption and Restoration of Murals In the Wild—0
Annotation-Free MIDI-to-Audio Synthesis via Concatenative Synthesis and Generative Refinement—0
CDL: Curriculum Dual Learning for Emotion-Controllable Response Generation—0
Dropping diversity of products of large US firms: Models and measures—0
Diversity Based Edge Pruning of Neural Networks Using Determinantal Point Processes—0
Diversity-based Design Assist for Large Legged Robots—0
Building-Block Aware Generative Modeling for 3D Crystals of Metal Organic Frameworks—0
DTSGAN: Learning Dynamic Textures via Spatiotemporal Generative Adversarial Network—0
Advances in Multi-turn Dialogue Comprehension: A Survey—0
Ensembles of GANs for synthetic training data generation—0
Ensembles of Randomized NNs for Pattern-based Time Series Forecasting—0
Dual-CNN: A Convolutional language decoder for paragraph image captioning—0
Ensembling Sparse Autoencoders—0
Dual-Force: Enhanced Offline Diversity Maximization under Imitation Constraints—0
Diversity-aware Web APIs Recommendation with Compatibility Guarantee—0
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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