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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 3001–3025 of 9051 papers

TitleStatusHype
Ensemble Diversity Facilitates Adversarial TransferabilityCode1
TIGER: Time-Varying Denoising Model for 3D Point Cloud Generation with Diffusion ProcessCode1
DifFlow3D: Toward Robust Uncertainty-Aware Scene Flow Estimation with Iterative Diffusion-Based RefinementCode2
CDFormer: When Degradation Prediction Embraces Diffusion Model for Blind Image Super-ResolutionCode2
SNIDA: Unlocking Few-Shot Object Detection with Non-linear Semantic Decoupling Augmentation—0
Brush2Prompt: Contextual Prompt Generator for Object Inpainting—0
Distribution-aware Knowledge Prototyping for Non-exemplar Lifelong Person Re-identificationCode1
Exact Fusion via Feature Distribution Matching for Few-shot Image GenerationCode0
NightCC: Nighttime Color Constancy via Adaptive Channel Masking—0
StyLitGAN: Image-Based Relighting via Latent Control—0
Learning Coupled Dictionaries from Unpaired Data for Image Super-Resolution—0
A Versatile Framework for Continual Test-Time Domain Adaptation: Balancing Discriminability and Generalizability—0
In-distribution Public Data Synthesis with Diffusion Models for Differentially Private Image ClassificationCode0
Overcome Modal Bias in Multi-modal Federated Learning via Balanced Modality SelectionCode0
EMAGE: Towards Unified Holistic Co-Speech Gesture Generation via Expressive Masked Audio Gesture ModelingCode3
Multiplayer Battle Game-Inspired Optimizer for Complex Optimization Problems—0
Improving Text Embeddings with Large Language ModelsCode3
ODAQ: Open Dataset of Audio QualityCode1
GAN-GA: A Generative Model based on Genetic Algorithm for Medical Image GenerationCode0
Diffusion Model with Perceptual Loss—0
greylock: A Python Package for Measuring The Composition of Complex DatasetsCode0
Informative Rays Selection for Few-Shot Neural Radiance Fields—0
Hybrid quantum cycle generative adversarial network for small molecule generation—0
FedSDD: Scalable and Diversity-enhanced Distillation for Model Aggregation in Federated Learning—0
Reinforcement-based Display-size Selection for Frugal Satellite Image Change Detection—0
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