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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 3451–3475 of 9051 papers

TitleStatusHype
Explore and Exploit the Diverse Knowledge in Model Zoo for Domain Generalization—0
BOP-Elites, a Bayesian Optimisation algorithm for Quality-Diversity search—0
Exploring Advanced Techniques for Visual Question Answering: A Comprehensive Comparison—0
Exploring and Controlling Diversity in LLM-Agent Conversation—0
Diversified Visual Attention Networks for Fine-Grained Object Classification—0
Diversified Texture Synthesis with Feed-forward Networks—0
Exploring Context and Visual Pattern of Relationship for Scene Graph Generation—0
Exploring Critical Testing Scenarios for Decision-Making Policies: An LLM Approach—0
Exploring Data Augmentations on Self-/Semi-/Fully- Supervised Pre-trained Models—0
Exploring Data Scaling Trends and Effects in Reinforcement Learning from Human Feedback—0
An Information-Theoretic Approach for Estimating Scenario Generalization in Crowd Motion Prediction—0
Exploring Diverse Expressions for Paraphrase Generation—0
A Collection of Deep Learning-based Feature-Free Approaches for Characterizing Single-Objective Continuous Fitness Landscapes—0
Computational models of learning and synaptic plasticity—0
Computational strategies for dissecting the high-dimensional complexity of adaptive immune repertoires—0
First the worst: Finding better gender translations during beam search—0
Diversified Sampling Improves Scaling LLM inference—0
Computational Typology—0
Diversified Sampling for Batched Bayesian Optimization with Determinantal Point Processes—0
Data Augmentation by Fuzzing for Neural Test Generation—0
Computing Diverse Sets of High Quality TSP Tours by EAX-Based Evolutionary Diversity Optimisation—0
Exploring Global Diversity and Local Context for Video Summarization—0
Exploring Hybrid and Ensemble Models for Multiclass Prediction of Mental Health Status on Social Media—0
Exploring Implicit Sentiment Evoked by Fine-grained News Events—0
BootTOD: Bootstrap Task-oriented Dialogue Representations by Aligning Diverse Responses—0
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