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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 6451–6500 of 9051 papers

TitleStatusHype
Normalizing Flow based Hidden Markov Models for Classification of Speech Phones with ExplainabilityCode0
Diversity as a By-Product: Goal-oriented Language Generation Leads to Linguistic Variation—0
Effective Social Chatbot Strategies for Increasing User Initiative—0
Phylogenetic Diversity Rankings in the Face of Extinctions: the Robustness of the Fair Proportion Index—0
Improving Human Motion Prediction Through Continual Learning—0
An Investigation of the (In)effectiveness of Counterfactually Augmented DataCode0
Augmented Shortcuts for Vision TransformersCode0
A Weather-Dependent Hybrid RF/FSO Satellite Communication for Improved Power Efficiency—0
Ethical AI-Powered Regression Test Selection—0
Multimodal Shape Completion via IMLE—0
The Evolution of Out-of-Distribution Robustness Throughout Fine-Tuning—0
Generalization of Reinforcement Learning with Policy-Aware Adversarial Data Augmentation—0
The Food Recognition Benchmark: Using DeepLearning to Recognize Food on Images—0
Blastocoel morphogenesis: a biophysics perspectiveCode0
An Efficient Asynchronous Batch Bayesian Optimization Approach for Analog Circuit Synthesis—0
Dizygotic Conditional Variational AutoEncoder for Multi-Modal and Partial Modality Absent Few-Shot Learning—0
Outage Performance Analysis of Widely Linear Receivers in Uplink Multi-user MIMO Systems—0
Post-Training Quantization for Vision Transformer—0
Discovering Generalizable Skills via Automated Generation of Diverse Tasks—0
Semi-Supervised Deep Ensembles for Blind Image Quality AssessmentCode0
Diversifying Semantic Image Synthesis and Editing via Class- and Layer-wise VAEsCode0
Fostering Diversity in Spatial Evolutionary Generative Adversarial Networks—0
Projection-wise Disentangling for Fair and Interpretable Representation Learning: Application to 3D Facial Shape AnalysisCode0
A Picture May Be Worth a Hundred Words for Visual Question Answering—0
A Deep Learning Approach to Private Data Sharing of Medical Images Using Conditional GANsCode0
A new system for evaluating brand importance: A use case from the fashion industry—0
PatentNet: A Large-Scale Incomplete Multiview, Multimodal, Multilabel Industrial Goods Image Database—0
Data Augmentation for Opcode Sequence Based Malware Detection—0
On the Diversity and Limits of Human Explanations—0
On Minimizing Symbol Error Rate Over Fading Channels with Low-Resolution Quantization—0
PALMAR: Towards Adaptive Multi-inhabitant Activity Recognition in Point-Cloud Technology—0
Ensemble of ACCDOA- and EINV2-based Systems with D3Nets and Impulse Response Simulation for Sound Event Localization and Detection—0
Context-aware PolyUNet for Liver and Lesion Segmentation from Abdominal CT Images—0
Instrumental Variable Estimation for Compositional TreatmentsCode0
How well do you know your summarization datasets?Code0
On Stein Variational Neural Network Ensembles—0
A Brief Study on the Effects of Training Generative Dialogue Models with a Semantic lossCode0
Lesion-Aware Transformers for Diabetic Retinopathy Grading—0
Boosting Ensemble Accuracy by Revisiting Ensemble Diversity MetricsCode0
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
Selecting for Selection: Learning To Balance Adaptive and Diversifying Pressures in Evolutionary Search—0
FAIR: Fairness-Aware Information Retrieval Evaluation—0
Divergence Frontiers for Generative Models: Sample Complexity, Quantization Effects, and Frontier IntegralsCode0
Encouraging Intra-Class Diversity Through a Reverse Contrastive Loss for Better Single-Source Domain Generalization—0
CT Image Synthesis Using Weakly Supervised Segmentation and Geometric Inter-Label Relations For COVID Image Analysis—0
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
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