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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 1601–1650 of 9051 papers

TitleStatusHype
Simple Post-Training Robustness Using Test Time Augmentations and Random ForestCode0
KappaFace: Adaptive Additive Angular Margin Loss for Deep Face RecognitionCode0
JoTR: A Joint Transformer and Reinforcement Learning Framework for Dialog Policy LearningCode0
Judge the Judges: A Large-Scale Evaluation Study of Neural Language Models for Online Review GenerationCode0
To Ensemble or Not Ensemble: When does End-To-End Training Fail?Code0
JWSign: A Highly Multilingual Corpus of Bible Translations for more Diversity in Sign Language ProcessingCode0
AlphaDecay: Module-wise Weight Decay for Heavy-Tailed Balancing in LLMsCode0
Aura: Privacy-preserving Augmentation to Improve Test Set Diversity in Speech EnhancementCode0
Joint Training of Deep Ensembles Fails Due to Learner CollusionCode0
Finding Black Cat in a Coal Cellar -- Keyphrase Extraction & Keyphrase-Rubric Relationship Classification from Complex AssignmentsCode0
Iterative Graph AlignmentCode0
Is there a robust effect of mainland mutualism rates on species richness of oceanic islands?Code0
Jacquard: A Large Scale Dataset for Robotic Grasp DetectionCode0
Is It Navajo? Accurate Language Detection in Endangered Athabaskan LanguagesCode0
Is Functional Correctness Enough to Evaluate Code Language Models? Exploring Diversity of Generated CodesCode0
Is Limited Participant Diversity Impeding EEG-based Machine Learning?Code0
Is Feature Diversity Necessary in Neural Network Initialization?Code0
A Unified Theory of Diversity in Ensemble LearningCode0
ISFL: Federated Learning for Non-i.i.d. Data with Local Importance SamplingCode0
Is One Epoch All You Need For Multi-Fidelity Hyperparameter Optimization?Code0
A Unified Substrate for Body-Brain Co-evolutionCode0
Is ChatGPT A Good Keyphrase Generator? A Preliminary StudyCode0
Is Depth All You Need? An Exploration of Iterative Reasoning in LLMsCode0
Adaptation of olfactory receptor abundances for efficient codingCode0
AugWard: Augmentation-Aware Representation Learning for Accurate Graph ClassificationCode0
In What Languages are Generative Language Models the Most Formal? Analyzing Formality Distribution across LanguagesCode0
Investigating the Influence of Prompt-Specific Shortcuts in AI Generated Text DetectionCode0
JALMBench: Benchmarking Jailbreak Vulnerabilities in Audio Language ModelsCode0
All-In-One Underwater Image Enhancement using Domain-Adversarial LearningCode0
Alleviating the Long-Tail Problem in Conversational Recommender SystemsCode0
Intrinsically-Motivated Humans and Agents in Open-World ExplorationCode0
Augmenting High-dimensional Nonlinear Optimization with Conditional GANsCode0
Augmenting Genetic Algorithms with Deep Neural Networks for Exploring the Chemical SpaceCode0
Interestingness Elements for Explainable Reinforcement Learning: Understanding Agents' Capabilities and LimitationsCode0
Augmented Shortcuts for Vision TransformersCode0
Interactive Constrained MAP-Elites: Analysis and Evaluation of the Expressiveness of the Feature DimensionsCode0
Intentional Computational Level DesignCode0
Interactive Image Segmentation With Latent DiversityCode0
Integrating LLMs and Decision Transformers for Language Grounded Generative Quality-DiversityCode0
Aligning Sentence Simplification with ESL Learner's Proficiency for Language AcquisitionCode0
Integrating Present and Past in Unsupervised Continual LearningCode0
Instrumental Variable Estimation for Compositional TreatmentsCode0
Intent Factored Generation: Unleashing the Diversity in Your Language ModelCode0
Interactive Neural Style Transfer with ArtistsCode0
Investigating Evaluation of Open-Domain Dialogue Systems With Human Generated Multiple ReferencesCode0
InstaSynth: Opportunities and Challenges in Generating Synthetic Instagram Data with ChatGPT for Sponsored Content DetectionCode0
Instance-wise Supervision-level Optimization in Active LearningCode0
Auditing for Diversity using Representative ExamplesCode0
Aligning GPTRec with Beyond-Accuracy Goals with Reinforcement LearningCode0
INSightR-Net: Interpretable Neural Network for Regression using Similarity-based Comparisons to Prototypical ExamplesCode0
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