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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
Face2Diffusion for Fast and Editable Face PersonalizationCode2
Anomaly Detection via Reverse Distillation from One-Class EmbeddingCode2
Exploring the Limits of Transfer Learning with a Unified Text-to-Text TransformerCode2
EvalGIM: A Library for Evaluating Generative Image ModelsCode2
EVA3D: Compositional 3D Human Generation from 2D Image CollectionsCode2
Explaining Machine Learning Classifiers through Diverse Counterfactual ExplanationsCode2
A Novel Sampling Scheme for Text- and Image-Conditional Image Synthesis in Quantized Latent SpacesCode2
Efficient Quality Diversity Optimization of 3D Buildings through 2D Pre-optimizationCode2
Effective Data Augmentation With Diffusion ModelsCode2
EDGE: Editable Dance Generation From MusicCode2
Dual Spoof Disentanglement Generation for Face Anti-spoofing with Depth Uncertainty LearningCode2
DualAnoDiff: Dual-Interrelated Diffusion Model for Few-Shot Anomaly Image GenerationCode2
EasyPortrait -- Face Parsing and Portrait Segmentation DatasetCode2
AnySat: One Earth Observation Model for Many Resolutions, Scales, and ModalitiesCode2
DreamMix: Decoupling Object Attributes for Enhanced Editability in Customized Image InpaintingCode2
EgoMimic: Scaling Imitation Learning via Egocentric VideoCode2
EcomGPT: Instruction-tuning Large Language Models with Chain-of-Task Tasks for E-commerceCode2
Enhancing Sample Efficiency and Exploration in Reinforcement Learning through the Integration of Diffusion Models and Proximal Policy OptimizationCode2
Fields of The World: A Machine Learning Benchmark Dataset For Global Agricultural Field Boundary SegmentationCode2
HSIGene: A Foundation Model For Hyperspectral Image GenerationCode2
Diffusion Probabilistic Models beat GANs on Medical ImagesCode2
Exploring the Effect of Dataset Diversity in Self-Supervised Learning for Surgical Computer VisionCode2
Exposing flaws of generative model evaluation metrics and their unfair treatment of diffusion modelsCode2
3DGen: Triplane Latent Diffusion for Textured Mesh GenerationCode2
A Closer Look into Mixture-of-Experts in Large Language ModelsCode2
Ambiguous Medical Image Segmentation using Diffusion ModelsCode2
DiverGen: Improving Instance Segmentation by Learning Wider Data Distribution with More Diverse Generative DataCode2
FLatten Transformer: Vision Transformer using Focused Linear AttentionCode2
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
From Exploration to Mastery: Enabling LLMs to Master Tools via Self-Driven InteractionsCode2
Test-time Alignment of Diffusion Models without Reward Over-optimizationCode2
DiffusionPen: Towards Controlling the Style of Handwritten Text GenerationCode2
Diverse Preference OptimizationCode2
DiffTF++: 3D-aware Diffusion Transformer for Large-Vocabulary 3D GenerationCode2
DifFlow3D: Toward Robust Uncertainty-Aware Scene Flow Estimation with Iterative Diffusion-Based RefinementCode2
Grounded 3D-LLM with Referent TokensCode2
ASpanFormer: Detector-Free Image Matching with Adaptive Span TransformerCode2
Guide to k-mer approaches for genomics across the tree of lifeCode2
DiffuSeq: Sequence to Sequence Text Generation with Diffusion ModelsCode2
DialogStudio: Towards Richest and Most Diverse Unified Dataset Collection for Conversational AICode2
Diff-BGM: A Diffusion Model for Video Background Music GenerationCode2
Diffusion Bridge Implicit ModelsCode2
DeTPP: Leveraging Object Detection for Robust Long-Horizon Event PredictionCode2
DGR-MIL: Exploring Diverse Global Representation in Multiple Instance Learning for Whole Slide Image ClassificationCode2
Instant3D: Fast Text-to-3D with Sparse-View Generation and Large Reconstruction ModelCode2
InstructBLIP: Towards General-purpose Vision-Language Models with Instruction TuningCode2
A Vector Quantized Approach for Text to Speech Synthesis on Real-World Spontaneous SpeechCode2
A Generalizable Anomaly Detection Method in Dynamic GraphsCode2
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