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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 8151–8200 of 9051 papers

TitleStatusHype
The Knowref Coreference Corpus: Removing Gender and Number Cues for Difficult Pronominal Anaphora ResolutionCode0
Importance of Search and Evaluation Strategies in Neural Dialogue ModelingCode0
CariGAN: Caricature Generation through Weakly Paired Adversarial Learning—0
A Corpus for Reasoning About Natural Language Grounded in PhotographsCode0
On the Generation of Medical Question-Answer Pairs—0
E2E NLG Challenge Submission: Towards Controllable Generation of Diverse Natural Language—0
Anomaly Detection With Multiple-Hypotheses PredictionsCode0
Crowdsourcing with Fairness, Diversity and Budget Constraints—0
Conceptual Content in Deep Convolutional Neural Networks: An analysis into multi-faceted properties of neurons—0
Preparing for the Unexpected: Diversity Improves Planning Resilience in Evolutionary Algorithms—0
Inheritance-Based Diversity Measures for Explicit Convergence Control in Evolutionary Algorithms—0
A Convergence indicator for Multi-Objective Optimisation Algorithms—0
GOT-10k: A Large High-Diversity Benchmark for Generic Object Tracking in the WildCode0
Middle-Out Decoding—0
Expedition: A Time-Aware Exploratory Search System Designed for Scholars—0
History by Diversity: Helping Historians search News Archives—0
Multi-Head Attention with Disagreement Regularization—0
A Neural Compositional Paradigm for Image CaptioningCode0
Sequence to Sequence Mixture Model for Diverse Machine Translation—0
PepCVAE: Semi-Supervised Targeted Design of Antimicrobial Peptide Sequences—0
Evolutionary multiplayer games on graphs with edge diversity—0
Automatic event detection in microblogs using incremental machine learning—0
Rotational 3D Texture Classification Using Group Equivariant CNNs—0
CURIOUS: Intrinsically Motivated Modular Multi-Goal Reinforcement LearningCode0
Convex Hull Approximation of Nearly Optimal Lasso SolutionsCode0
Finding Similar Medical Questions from Question Answering Websites—0
PointGrow: Autoregressively Learned Point Cloud Generation with Self-AttentionCode0
Cats or CAT scans: transfer learning from natural or medical image source datasets?Code0
Custom Dual Transportation Mode Detection by Smartphone Devices Exploiting Sensor DiversityCode0
HiTR: Hierarchical Topic Model Re-estimation for Measuring Topical Diversity of DocumentsCode0
Sequence-to-Sequence Models for Data-to-Text Natural Language Generation: Word- vs. Character-based Processing and Output Diversity—0
Mind the GAP: A Balanced Corpus of Gendered Ambiguous PronounsCode0
Diffusion-like recommendation with enhanced similarity of objects—0
One Size Does Not Fit All: Generating and Evaluating Variable Number of Keyphrases—0
A Family of Maximum Margin Criterion for Adaptive Learning—0
Toward Understanding the Impact of Staleness in Distributed Machine Learning—0
Deep Generative Video Compression—0
Adaptive, Personalized Diversity for Visual Discovery—0
Bayesian Prediction of Future Street Scenes using Synthetic LikelihoodsCode0
PubSE: A Hierarchical Model for Publication Extraction from Academic Homepages—0
Variational Autoregressive Decoder for Neural Response Generation—0
Limbic: Author-Based Sentiment Aspect Modeling Regularized with Word Embeddings and Discourse Relations—0
Diversity-Promoting GAN: A Cross-Entropy Based Generative Adversarial Network for Diversified Text GenerationCode0
Alibaba Submission to the WMT18 Parallel Corpus Filtering Task—0
Training for Diversity in Image Paragraph CaptioningCode0
Similarity-Based Reconstruction Loss for Meaning Representation—0
Facts That MatterCode0
Better Conversations by Modeling, Filtering, and Optimizing for Coherence and DiversityCode0
Rethinking Self-driving: Multi-task Knowledge for Better Generalization and Accident Explanation AbilityCode0
Model-Agnostic Meta-Learning for Multimodal Task Distributions—0
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