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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 1501–1550 of 9051 papers

TitleStatusHype
Context-Transformer: Tackling Object Confusion for Few-Shot DetectionCode1
Diversity can be Transferred: Output Diversification for White- and Black-box AttacksCode1
Learn to Augment: Joint Data Augmentation and Network Optimization for Text RecognitionCode1
TAFSSL: Task-Adaptive Feature Sub-Space Learning for few-shot classificationCode1
AutoSTR: Efficient Backbone Search for Scene Text RecognitionCode1
Evaluating Logical Generalization in Graph Neural NetworksCode1
Quality Diversity for Multi-task OptimizationCode1
An Empirical Investigation of Pre-Trained Transformer Language Models for Open-Domain Dialogue GenerationCode1
ProGen: Language Modeling for Protein GenerationCode1
Diverse and Admissible Trajectory Forecasting through Multimodal Context UnderstandingCode1
On the Role of Conceptualization in Commonsense Knowledge Graph ConstructionCode1
Combating noisy labels by agreement: A joint training method with co-regularizationCode1
Rethinking Parameter Counting in Deep Models: Effective Dimensionality RevisitedCode1
Data Augmentation using Pre-trained Transformer ModelsCode1
Scaling MAP-Elites to Deep NeuroevolutionCode1
Learning Texture Invariant Representation for Domain Adaptation of Semantic SegmentationCode1
Say As You Wish: Fine-grained Control of Image Caption Generation with Abstract Scene GraphsCode1
Analysis of diversity-accuracy tradeoff in image captioningCode1
PaDGAN: A Generative Adversarial Network for Performance Augmented Diverse DesignsCode1
PointAugment: an Auto-Augmentation Framework for Point Cloud ClassificationCode1
Reliable Fidelity and Diversity Metrics for Generative ModelsCode1
Towards Robust and Reproducible Active Learning Using Neural NetworksCode1
Sequential Latent Knowledge Selection for Knowledge-Grounded DialogueCode1
The Devil is in the Channels: Mutual-Channel Loss for Fine-Grained Image ClassificationCode1
Self-Attentive Associative MemoryCode1
Differential Evolution with Reversible Linear TransformationsCode1
Entropy Minimization vs. Diversity Maximization for Domain AdaptationCode1
MAGNN: Metapath Aggregated Graph Neural Network for Heterogeneous Graph EmbeddingCode1
Variational Template Machine for Data-to-Text GenerationCode1
Effective Diversity in Population Based Reinforcement LearningCode1
Automatic lung segmentation in routine imaging is primarily a data diversity problem, not a methodology problemCode1
OPFython: A Python-Inspired Optimum-Path Forest ClassifierCode1
Learning Diverse Features with Part-Level Resolution for Person Re-IdentificationCode1
Efficient Facial Feature Learning with Wide Ensemble-based Convolutional Neural NetworksCode1
EEV: A Large-Scale Dataset for Studying Evoked Expressions from VideoCode1
Fine-grained Image Classification and Retrieval by Combining Visual and Locally Pooled Textual FeaturesCode1
DeeperForensics-1.0: A Large-Scale Dataset for Real-World Face Forgery DetectionCode1
ATHENA: A Framework based on Diverse Weak Defenses for Building Adversarial DefenseCode1
Generating Object StampsCode1
An Optimistic Perspective on Offline Deep Reinforcement LearningCode1
Covariance Matrix Adaptation for the Rapid Illumination of Behavior SpaceCode1
StarGAN v2: Diverse Image Synthesis for Multiple DomainsCode1
Curriculum-guided Hindsight Experience ReplayCode1
Task-Oriented Dialog Systems that Consider Multiple Appropriate Responses under the Same ContextCode1
Conditioned Query Generation for Task-Oriented Dialogue SystemsCode1
Clotho: An Audio Captioning DatasetCode1
Target-Oriented Deformation of Visual-Semantic Embedding SpaceCode1
KonIQ-10k: An ecologically valid database for deep learning of blind image quality assessmentCode1
Stacking Models for Nearly Optimal Link Prediction in Complex NetworksCode1
Object Detection in Optical Remote Sensing Images: A Survey and A New BenchmarkCode1
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