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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 8201–8250 of 9051 papers

TitleStatusHype
Teaching to Teach by Structured Dark Knowledge—0
Deep Probabilistic Video Compression—0
Learning to Coordinate Multiple Reinforcement Learning Agents for Diverse Query Reformulation—0
microGAN: Promoting Variety through Microbatch Discrimination—0
Morpho-MNIST: Quantitative Assessment and Diagnostics for Representation LearningCode0
Discrete Structural Planning for Generating Diverse Translations—0
S-System, Geometry, Learning, and Optimization: A Theory of Neural Networks—0
How does geographical distance translate into genetic distance?—0
S-RL Toolbox: Environments, Datasets and Evaluation Metrics for State Representation LearningCode0
A Neural Compositional Paradigm for Image Captioning—0
DPPy: Sampling DPPs with PythonCode0
Albumentations: fast and flexible image augmentationsCode0
Better Conversations by Modeling,Filtering,and Optimizing for Coherence and DiversityCode0
Maximum-Entropy Fine-Grained Classification—0
Generating Informative and Diverse Conversational Responses via Adversarial Information MaximizationCode0
Skeleton-to-Response: Dialogue Generation Guided by Retrieval MemoryCode0
Personalizing Fairness-aware Re-ranking—0
Automatic, Personalized, and Flexible Playlist Generation using Reinforcement Learning—0
Semantic WordRank: Generating Finer Single-Document Summarizations—0
Context-Dependent Diffusion Network for Visual Relationship Detection—0
Using Image Fairness Representations in Diversity-Based Re-ranking for Recommendations—0
Off-line vs. On-line Evaluation of Recommender Systems in Small E-commerceCode0
Trick Me If You Can: Human-in-the-loop Generation of Adversarial Examples for Question AnsweringCode0
Information-Theoretic Active Learning for Content-Based Image RetrievalCode0
Diversity and Sparsity: A New Perspective on Index Tracking—0
Structural Consistency and Controllability for Diverse Colorization—0
Why are Sequence-to-Sequence Models So Dull? Understanding the Low-Diversity Problem of Chatbots—0
BOLD5000: A public fMRI dataset of 5000 imagesCode0
Modified Diversity of Class Probability Estimation Co-training for Hyperspectral Image Classification—0
A3Net: Adversarial-and-Attention Network for Machine Reading Comprehension—0
Diverse and Coherent Paragraph Generation from Images—0
Effective Exploration for Deep Reinforcement Learning via Bootstrapped Q-Ensembles under Tsallis Entropy Regularization—0
Real-Time Hair Rendering using Sequential Adversarial Networks—0
Stacking ensemble with parsimonious base models to improve generalization capability in the characterization of steel bolted components—0
Find and Focus: Retrieve and Localize Video Events with Natural Language Queries—0
Incremental Multi-graph Matching via Diversity and Randomness based Graph Clustering—0
MULDEF: Multi-model-based Defense Against Adversarial Examples for Neural Networks—0
Gaussian Mixture Generative Adversarial Networks for Diverse Datasets, and the Unsupervised Clustering of Images—0
LUDB: a new open-access validation tool for electrocardiogram delineation algorithmsCode0
Matrix Factorization Equals Efficient Co-occurrence Representation—0
Diversity-Driven Selection of Exploration Strategies in Multi-Armed Bandits—0
Keyphrase Generation with Correlation Constraints—0
An Axiomatic Analysis of Diversity Evaluation Metrics: Introducing the Rank-Biased Utility MetricCode0
Multiview Boosting by Controlling the Diversity and the Accuracy of View-specific VotersCode0
Mitigating Sybils in Federated Learning PoisoningCode0
Hybrid Powerline/Wireless Diversity for Smart Grid Communications: Design Challenges and Real-time Implementation—0
D-PAGE: Diverse Paraphrase Generation—0
Exact steady-state distributions of multispecies birth-death-immigration processes: effects of mutations and carrying capacity on diversity—0
Active Learning for Regression Using Greedy SamplingCode0
Diverse Conditional Image Generation by Stochastic Regression with Latent Drop-Out CodesCode0
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