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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 2401–2450 of 9051 papers

TitleStatusHype
A Prospective-Performance Network to Alleviate Myopia in Beam Search for Response Generation—0
Designing Affine OCDM Systems with Maximum Diversity—0
A proposed new metric for the conceptual diversity of a text—0
Classifier Pool Generation based on a Two-level Diversity Approach—0
A Process for Topic Modelling Via Word Embeddings—0
Classifier-Free Guidance: From High-Dimensional Analysis to Generalized Guidance Forms—0
A Convergence indicator for Multi-Objective Optimisation Algorithms—0
A Novel Task-Oriented Text Corpus in Silent Speech Recognition and its Natural Language Generation Construction Method—0
Classifier Based Graph Construction for Video Segmentation—0
Classification Drives Geographic Bias in Street Scene Segmentation—0
A Probabilistic Bitwise Genetic Algorithm for B-Spline based Image Deformation Estimation—0
Classification and Representation via Separable Subspaces: Performance Limits and Algorithms—0
Class Balancing Diversity Multimodal Ensemble for Alzheimer's Disease Diagnosis and Early Detection—0
A Primer on Techtile: An R&D Testbed for Distributed Communication, Sensing and Positioning—0
Affine Frequency Division Multiplexing with Index Modulation: Full Diversity Condition, Performance Analysis, and Low-Complexity Detection—0
Class Balanced Dynamic Acquisition for Domain Adaptive Semantic Segmentation using Active Learning—0
A Preference-oriented Diversity Model Based on Mutual-information in Re-ranking for E-commerce Search—0
Class-Aware Universum Inspired Re-Balance Learning for Long-Tailed Recognition—0
A preference elicitation interface for collecting dense recommender datasets with rich user information—0
Affine Frequency Division Multiplexing With Index Modulation—0
Diversity-Oriented Data Augmentation with Large Language Models—0
Diversity Regularized Adversarial Learning—0
Domain Generalization for 6D Pose Estimation Through NeRF-based Image Synthesis—0
Dynamic Stochastic Ensemble with Adversarial Robust Lottery Ticket Subnetworks—0
CLAIR: Evaluating Image Captions with Large Language Models—0
A Practical Introduction to Deep Reinforcement Learning—0
CJRC: A Reliable Human-Annotated Benchmark DataSet for Chinese Judicial Reading Comprehension—0
A practical generalization metric for deep networks benchmarking—0
Affine Frequency Division Multiplexing: Extending OFDM for Scenario-Flexibility and Resilience—0
CityGen: Infinite and Controllable 3D City Layout Generation—0
CityCraft: A Real Crafter for 3D City Generation—0
Approximating Pareto Frontier through Bayesian-optimization-directed Robust Multi-objective Reinforcement Learning—0
Citation Structural Diversity: A Novel and Concise Metric Combining Structure and Semantics for Literature Evaluation—0
Circulant Binary Convolutional Networks: Enhancing the Performance of 1-bit DCNNs with Circulant Back Propagation—0
Affect-Driven Dialog Generation—0
A3Net: Adversarial-and-Attention Network for Machine Reading Comprehension—0
Approximability of Discriminators Implies Diversity in GANs—0
CIGMO: Learning categorical invariant deep generative models from grouped data—0
Push and Pull Search Embedded in an M2M Framework for Solving Constrained Multi-objective Optimization Problems—0
Approach to Visual Attractiveness of Event Space Through Data-Driven Environment and Spatial Perception—0
Cifu: a Frequency Lexicon of Hong Kong Cantonese—0
A Few Good Counterfactuals: Generating Interpretable, Plausible and Diverse Counterfactual Explanations—0
Diversity in Faces—0
Approaches to studying virus pangenome variation graphs—0
AFEN: Respiratory Disease Classification using Ensemble Learning—0
Chosen methods of improving small object recognition with weak recognizable features—0
Applying Artificial Intelligence for Age Estimation in Digital Forensic Investigations—0
Cascading Hybrid Bandits: Online Learning to Rank for Relevance and Diversity—0
Diversity in immunogenomics: the value and the challenge—0
Diversity in Kemeny Rank Aggregation: A Parameterized Approach—0
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