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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 501–550 of 9051 papers

TitleStatusHype
Combating noisy labels by agreement: A joint training method with co-regularizationCode1
AlpaCare:Instruction-tuned Large Language Models for Medical ApplicationCode1
DLow: Diversifying Latent Flows for Diverse Human Motion PredictionCode1
EEV: A Large-Scale Dataset for Studying Evoked Expressions from VideoCode1
F2GAN: Fusing-and-Filling GAN for Few-shot Image GenerationCode1
Between Lines of Code: Unraveling the Distinct Patterns of Machine and Human ProgrammersCode1
Diverse and Faithful Knowledge-Grounded Dialogue Generation via Sequential Posterior InferenceCode1
Community Forensics: Using Thousands of Generators to Train Fake Image DetectorsCode1
CommonScenes: Generating Commonsense 3D Indoor Scenes with Scene Graph DiffusionCode1
Exploring Inter-Channel Correlation for Diversity-preserved KnowledgeDistillationCode1
Diverse and Admissible Trajectory Forecasting through Multimodal Context UnderstandingCode1
Diverse and Admissible Trajectory Prediction through Multimodal Context UnderstandingCode1
Diverse and Specific Clarification Question Generation with KeywordsCode1
BenchTemp: A General Benchmark for Evaluating Temporal Graph Neural NetworksCode1
BenthicNet: A global compilation of seafloor images for deep learning applicationsCode1
DivCo: Diverse Conditional Image Synthesis via Contrastive Generative Adversarial NetworkCode1
Improving Semi-supervised Federated Learning by Reducing the Gradient Diversity of ModelsCode1
DivAug: Plug-in Automated Data Augmentation with Explicit Diversity MaximizationCode1
DivClust: Controlling Diversity in Deep ClusteringCode1
DiveR-CT: Diversity-enhanced Red Teaming Large Language Model Assistants with Relaxing ConstraintsCode1
Diverse Beam Search: Decoding Diverse Solutions from Neural Sequence ModelsCode1
Unconstrained Face-Mask & Face-Hand Datasets: Building a Computer Vision System to Help Prevent the Transmission of COVID-19Code1
DISCOS: Bridging the Gap between Discourse Knowledge and Commonsense KnowledgeCode1
DISCO: Distilling Counterfactuals with Large Language ModelsCode1
DisCup: Discriminator Cooperative Unlikelihood Prompt-tuning for Controllable Text GenerationCode1
Distributed speech separation in spatially unconstrained microphone arraysCode1
BeLFusion: Latent Diffusion for Behavior-Driven Human Motion PredictionCode1
DIG In: Evaluating Disparities in Image Generations with Indicators for Geographic DiversityCode1
Adversarial Semantic Data Augmentation for Human Pose EstimationCode1
Generating Diverse High-Fidelity Images with VQ-VAE-2Code1
Benchmarking Algorithms for Federated Domain GeneralizationCode1
DirectMultiStep: Direct Route Generation for Multi-Step RetrosynthesisCode1
Distribution-aware Knowledge Prototyping for Non-exemplar Lifelong Person Re-identificationCode1
Diverse, Controllable, and Keyphrase-Aware: A Corpus and Method for News Multi-Headline GenerationCode1
Adversarial Parametric Pose PriorCode1
BDD100K: A Diverse Driving Dataset for Heterogeneous Multitask LearningCode1
Diffusion Reward: Learning Rewards via Conditional Video DiffusionCode1
Diffusion for Out-of-Distribution Detection on Road Scenes and BeyondCode1
DiffuseExpand: Expanding dataset for 2D medical image segmentation using diffusion modelsCode1
COM Kitchens: An Unedited Overhead-view Video Dataset as a Vision-Language BenchmarkCode1
DiffuSum: Generation Enhanced Extractive Summarization with DiffusionCode1
Adversarial Feature Hallucination Networks for Few-Shot LearningCode1
Batched Bayesian optimization by maximizing the probability of including the optimumCode1
DiffSketching: Sketch Control Image Synthesis with Diffusion ModelsCode1
3D Vision and Language Pretraining with Large-Scale Synthetic DataCode1
Diff-Mosaic: Augmenting Realistic Representations in Infrared Small Target Detection via Diffusion PriorCode1
DiffStega: Towards Universal Training-Free Coverless Image Steganography with Diffusion ModelsCode1
Differential Evolution with Reversible Linear TransformationsCode1
Differentiable Quality DiversityCode1
Difficulty-Aware Simulator for Open Set RecognitionCode1
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