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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 1001–1050 of 9051 papers

TitleStatusHype
Effective Diversity in Population Based Reinforcement LearningCode1
Effect of latent space distribution on the segmentation of images with multiple annotationsCode1
AutoSTR: Efficient Backbone Search for Scene Text RecognitionCode1
Efficient Dataset Distillation via Minimax DiffusionCode1
AlpaCare:Instruction-tuned Large Language Models for Medical ApplicationCode1
Efficient Neural Neighborhood Search for Pickup and Delivery ProblemsCode1
BoostTree and BoostForest for Ensemble LearningCode1
Foundation Molecular Grammar: Multi-Modal Foundation Models Induce Interpretable Molecular Graph LanguagesCode1
AlphaFold Distillation for Protein DesignCode1
Boosting Transferability in Vision-Language Attacks via Diversification along the Intersection Region of Adversarial TrajectoryCode1
Boosting Single Image Super-Resolution via Partial Channel ShiftingCode1
Diversity is Definitely Needed: Improving Model-Agnostic Zero-shot Classification via Stable DiffusionCode1
From 1,000,000 Users to Every User: Scaling Up Personalized Preference for User-level AlignmentCode1
Ego2Hands: A Dataset for Egocentric Two-hand Segmentation and DetectionCode1
Generative Adversarial Graph Convolutional Networks for Human Action SynthesisCode1
GraphMETRO: Mitigating Complex Graph Distribution Shifts via Mixture of Aligned ExpertsCode1
Analyzing Generalization of Vision and Language Navigation to Unseen Outdoor AreasCode1
Optimizing Readability Using Genetic AlgorithmsCode1
FLUXSynID: A Framework for Identity-Controlled Synthetic Face Generation with Document and Live ImagesCode1
Out-of-Core Surface Reconstruction via Global TGV MinimizationCode1
EmpHi: Generating Empathetic Responses with Human-like IntentsCode1
Diversity can be Transferred: Output Diversification for White- and Black-box AttacksCode1
Florence-2: Advancing a Unified Representation for a Variety of Vision TasksCode1
Boosting Human-Object Interaction Detection with Text-to-Image Diffusion ModelCode1
Follow the Wisdom of the Crowd: Effective Text Generation via Minimum Bayes Risk DecodingCode1
BLEU might be Guilty but References are not InnocentCode1
ADASR: An Adversarial Auto-Augmentation Framework for Hyperspectral and Multispectral Data FusionCode1
Blending gradient boosted trees and neural networks for point and probabilistic forecasting of hierarchical time seriesCode1
BlendX: Complex Multi-Intent Detection with Blended PatternsCode1
FoodieQA: A Multimodal Dataset for Fine-Grained Understanding of Chinese Food CultureCode1
AdaptPose: Cross-Dataset Adaptation for 3D Human Pose Estimation by Learnable Motion GenerationCode1
FineRec:Exploring Fine-grained Sequential RecommendationCode1
BiRT: Bio-inspired Replay in Vision Transformers for Continual LearningCode1
Fine-Grained VR Sketching: Dataset and InsightsCode1
FLAIR: a Country-Scale Land Cover Semantic Segmentation Dataset From Multi-Source Optical ImageryCode1
BlendGAN: Implicitly GAN Blending for Arbitrary Stylized Face GenerationCode1
Analysis of diversity-accuracy tradeoff in image captioningCode1
DebateQA: Evaluating Question Answering on Debatable KnowledgeCode1
Analysis and Evaluation of Synthetic Data Generation in Speech Dysfluency DetectionCode1
Fine-grained Image Classification and Retrieval by Combining Visual and Locally Pooled Textual FeaturesCode1
Forcing Diffuse Distributions out of Language ModelsCode1
Bias Loss for Mobile Neural NetworksCode1
FHDe²Net: Full High Definition Demoireing NetworkCode1
Few-Shot Video Object DetectionCode1
Beyond Trivial Counterfactual Explanations with Diverse Valuable ExplanationsCode1
FFR V1.0: Fon-French Neural Machine TranslationCode1
Fibottention: Inceptive Visual Representation Learning with Diverse Attention Across HeadsCode1
Few-Shot Medical Image Segmentation via a Region-enhanced Prototypical TransformerCode1
Beyond Performance Plateaus: A Comprehensive Study on Scalability in Speech EnhancementCode1
Few-Shot Object Detection via Synthetic Features with Optimal TransportCode1
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