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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 6101–6150 of 9051 papers

TitleStatusHype
Repulsive Deep Ensembles are BayesianCode1
How well do you know your summarization datasets?Code0
Context-aware PolyUNet for Liver and Lesion Segmentation from Abdominal CT Images—0
Ensemble of ACCDOA- and EINV2-based Systems with D3Nets and Impulse Response Simulation for Sound Event Localization and Detection—0
Instance-Optimal Compressed Sensing via Posterior SamplingCode1
Instrumental Variable Estimation for Compositional TreatmentsCode0
Calliar: An Online Handwritten Dataset for Arabic CalligraphyCode1
A Brief Study on the Effects of Training Generative Dialogue Models with a Semantic lossCode0
Heterogeneous Multi-task Learning with Expert DiversityCode1
On Stein Variational Neural Network Ensembles—0
Lesion-Aware Transformers for Diabetic Retinopathy Grading—0
Boosting Ensemble Accuracy by Revisiting Ensemble Diversity MetricsCode0
LayoutTransformer: Scene Layout Generation With Conceptual and Spatial DiversityCode1
Transferable Query Selection for Active Domain Adaptation—0
Batch Multi-Fidelity Bayesian Optimization with Deep Auto-Regressive Networks—0
Indian Masked Faces in the Wild Dataset—0
FAIR: Fairness-Aware Information Retrieval Evaluation—0
Selecting for Selection: Learning To Balance Adaptive and Diversifying Pressures in Evolutionary Search—0
CT Image Synthesis Using Weakly Supervised Segmentation and Geometric Inter-Label Relations For COVID Image Analysis—0
Encouraging Intra-Class Diversity Through a Reverse Contrastive Loss for Better Single-Source Domain Generalization—0
Simple GNN Regularisation for 3D Molecular Property Prediction & BeyondCode1
Divergence Frontiers for Generative Models: Sample Complexity, Quantization Effects, and Frontier IntegralsCode0
Toward Diverse Precondition Generation—0
Determinantal Beam Search—0
A Framework to Counteract Suboptimal User-Behaviors in Exploratory Learning Environments: an Application to MOOCs—0
Correcting Exposure Bias for Link RecommendationCode0
Post-hoc loss-calibration for Bayesian neural networks—0
LENAS: Learning-based Neural Architecture Search and Ensemble for 3D Radiotherapy Dose PredictionCode0
Modeling Language Usage and Listener Engagement in Podcasts—0
Topology-Preserved Human Reconstruction with DetailsCode0
Deep Probabilistic Koopman: Long-term time-series forecasting under periodic uncertainties—0
Learning distinct features helps, provably—0
Overcoming Difficulty in Obtaining Dark-skinned Subjects for Remote-PPG by Synthetic Augmentation—0
Unsupervised Behaviour Discovery with Quality-Diversity OptimisationCode1
Learning to See by Looking at NoiseCode1
Unifying Behavioral and Response Diversity for Open-ended Learning in Zero-sum Games—0
Energy-Based Models for Code Generation under Compilability ConstraintsCode1
Ex uno plures: Splitting One Model into an Ensemble of Subnetworks—0
Taxonomy of Machine Learning Safety: A Survey and Primer—0
Loss function based second-order Jensen inequality and its application to particle variational inference—0
UniKeyphrase: A Unified Extraction and Generation Framework for Keyphrase PredictionCode1
Diverse Part Discovery: Occluded Person Re-identification with Part-Aware Transformer—0
Progressive Open-Domain Response Generation with Multiple Controllable Attributes—0
EventDrop: data augmentation for event-based learningCode0
Generating Relevant and Coherent Dialogue Responses using Self-separated Conditional Variational AutoEncoders—0
Differentiable Quality DiversityCode1
PcDGAN: A Continuous Conditional Diverse Generative Adversarial Network For Inverse DesignCode1
GTM: A Generative Triple-Wise Model for Conversational Question Generation—0
Refiner: Refining Self-attention for Vision TransformersCode1
Diversity driven Query Rewriting in Search Advertising—0
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