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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 151–200 of 9051 papers

TitleStatusHype
A Novel Sampling Scheme for Text- and Image-Conditional Image Synthesis in Quantized Latent SpacesCode2
Exploring the Limits of Transfer Learning with a Unified Text-to-Text TransformerCode2
Explaining Machine Learning Classifiers through Diverse Counterfactual ExplanationsCode2
Exposing flaws of generative model evaluation metrics and their unfair treatment of diffusion modelsCode2
Fields of The World: A Machine Learning Benchmark Dataset For Global Agricultural Field Boundary SegmentationCode2
EgoMimic: Scaling Imitation Learning via Egocentric VideoCode2
Enhancing Sample Efficiency and Exploration in Reinforcement Learning through the Integration of Diffusion Models and Proximal Policy OptimizationCode2
EcomGPT: Instruction-tuning Large Language Models with Chain-of-Task Tasks for E-commerceCode2
EasyPortrait -- Face Parsing and Portrait Segmentation DatasetCode2
EDGE: Editable Dance Generation From MusicCode2
DualAnoDiff: Dual-Interrelated Diffusion Model for Few-Shot Anomaly Image GenerationCode2
Dual Spoof Disentanglement Generation for Face Anti-spoofing with Depth Uncertainty LearningCode2
Effective Data Augmentation With Diffusion ModelsCode2
Efficient Quality Diversity Optimization of 3D Buildings through 2D Pre-optimizationCode2
EVA3D: Compositional 3D Human Generation from 2D Image CollectionsCode2
Find Any Part in 3DCode2
3DGen: Triplane Latent Diffusion for Textured Mesh GenerationCode2
EvalGIM: A Library for Evaluating Generative Image ModelsCode2
DiverGen: Improving Instance Segmentation by Learning Wider Data Distribution with More Diverse Generative DataCode2
Exploring the Effect of Dataset Diversity in Self-Supervised Learning for Surgical Computer VisionCode2
A Closer Look into Mixture-of-Experts in Large Language ModelsCode2
AeroGen: Enhancing Remote Sensing Object Detection with Diffusion-Driven Data GenerationCode2
DiffusionPen: Towards Controlling the Style of Handwritten Text GenerationCode2
A Generalizable Anomaly Detection Method in Dynamic GraphsCode2
Diffusion Probabilistic Models beat GANs on Medical ImagesCode2
Diverse Preference OptimizationCode2
FLatten Transformer: Vision Transformer using Focused Linear AttentionCode2
AnySat: One Earth Observation Model for Many Resolutions, Scales, and ModalitiesCode2
Diffusion Models Beat GANs on Image SynthesisCode2
DiffusionLight: Light Probes for Free by Painting a Chrome BallCode2
Diffusion Models for Molecules: A Survey of Methods and TasksCode2
GalLoP: Learning Global and Local Prompts for Vision-Language ModelsCode2
GenSim: Generating Robotic Simulation Tasks via Large Language ModelsCode2
DivPrune: Diversity-based Visual Token Pruning for Large Multimodal ModelsCode2
DifFlow3D: Toward Robust Uncertainty-Aware Scene Flow Estimation with Iterative Diffusion-Based RefinementCode2
DiffTF++: 3D-aware Diffusion Transformer for Large-Vocabulary 3D GenerationCode2
DialogStudio: Towards Richest and Most Diverse Unified Dataset Collection for Conversational AICode2
Grounded 3D-LLM with Referent TokensCode2
Anomaly Detection via Reverse Distillation from One-Class EmbeddingCode2
Guiding Generative Protein Language Models with Reinforcement LearningCode2
Diff-BGM: A Diffusion Model for Video Background Music GenerationCode2
DiffuSeq: Sequence to Sequence Text Generation with Diffusion ModelsCode2
AdaSociety: An Adaptive Environment with Social Structures for Multi-Agent Decision-MakingCode2
in2IN: Leveraging individual Information to Generate Human INteractionsCode2
DGR-MIL: Exploring Diverse Global Representation in Multiple Instance Learning for Whole Slide Image ClassificationCode2
#InsTag: Instruction Tagging for Analyzing Supervised Fine-tuning of Large Language ModelsCode2
Dereflection Any Image with Diffusion Priors and Diversified DataCode2
Integrate Any Omics: Towards genome-wide data integration for patient stratificationCode2
Knowledge Graph-Guided Retrieval Augmented GenerationCode2
DeTPP: Leveraging Object Detection for Robust Long-Horizon Event PredictionCode2
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