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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 3651–3700 of 9051 papers

TitleStatusHype
Active Learning for Lane Detection: A Knowledge Distillation Approach—0
Exploring the Law of Numbers: Evidence from China's Real Estate—0
Exploring the influence of fine-tuning data on wav2vec 2.0 model for blind speech quality prediction—0
Exploring the Impact of Corpus Diversity on Financial Pretrained Language Models—0
Exploring the Feature Space of TSP Instances Using Quality Diversity—0
FedShift: Tackling Dual Heterogeneity Problem of Federated Learning via Weight Shift Aggregation—0
Conceptual Mapping of Controversies—0
Learning to Specialize: Joint Gating-Expert Training for Adaptive MoEs in Decentralized Settings—0
Feedback-based Approach to Introduce Freshness in Recommendations—0
Feedback Effect in User Interaction with Intelligent Assistants: Delayed Engagement, Adaption and Drop-out—0
Ask-n-Learn: Active Learning via Reliable Gradient Representations for Image Classification—0
Exploring the Efficacy of Meta-Learning: Unveiling Superior Data Diversity Utilization of MAML Over Pre-training—0
Conceptual Content in Deep Convolutional Neural Networks: An analysis into multi-faceted properties of neurons—0
Feint Behaviors and Strategies: Formalization, Implementation and Evaluation—0
Exploring the Diversity and Invariance in Yourself for Visual Pre-Training Task—0
Conceptual capacity and effective complexity of neural networks—0
Few-shot 3D Shape Generation—0
Few-Shot Airway-Tree Modeling using Data-Driven Sparse Priors—0
Domain-Agnostic Few-Shot Classification by Learning Disparate Modulators—0
Few-shot Classification via Ensemble Learning with Multi-Order Statistics—0
A high fidelity synthetic face framework for computer vision—0
Exploring the Design Space of Diffusion Bridge Models via Stochasticity Control—0
Exploring Textual Semantics Diversity for Image Transmission in Semantic Communication Systems using Visual Language Model—0
Exploring structure diversity in atomic resolution microscopy with graph neural networks—0
Few-shot Image Generation via Information Transfer from the Built Geodesic Surface—0
Exploring Story Generation with Multi-task Objectives in Variational Autoencoders—0
Conceptors: an easy introduction—0
Exploring Sampling Techniques for Generating Melodies with a Transformer Language Model—0
Concept-Monitor: Understanding DNN training through individual neurons—0
Few-Shot Learning from Augmented Label-Uncertain Queries in Bongard-HOI—0
Few-Shot Learning with Adaptive Weight Masking in Conditional GANs—0
Few-Shot Learning with Intra-Class Knowledge Transfer—0
A Simulation Study of Bandit Algorithms to Address External Validity of Software Fault Prediction—0
A high-accuracy multi-model mixing retrosynthetic method—0
Active learning for interactive satellite image change detection—0
A binary variant of gravitational search algorithm and its application to windfarm layout optimization problem—0
Exploring Robot Morphology Spaces through Breadth-First Search and Random Query—0
Exploring Resiliency to Natural Image Corruptions in Deep Learning using Design Diversity—0
ConceptMix: A Compositional Image Generation Benchmark with Controllable Difficulty—0
Exploring open-ended gameplay features with Micro RollerCoaster Tycoon—0
Concept Drift Adaptation by Exploiting Historical Knowledge—0
A Simulation-Optimization Technique for Service Level Analysis in Conjunction with Reorder Point Estimation and Lead-Time consideration: A Case Study in Sea Port—0
Exploring One-shot Semi-supervised Federated Learning with A Pre-trained Diffusion Model—0
Exploring Novel Quality Diversity Methods For Generalization in Reinforcement Learning—0
Exploring Non-Linear Effects of Built Environment on Travel Using an Integrated Machine Learning and Inferential Modeling Approach: A Three-Wave Repeated Cross-Sectional Study—0
Simple yet Effective Way for Improving the Performance of GAN—0
A Hierarchical Variational Neural Uncertainty Model for Stochastic Video Prediction—0
Exploring Language Patterns of Prompts in Text-to-Image Generation and Their Impact on Visual Diversity—0
Computing High-Quality Solutions for the Patient Admission Scheduling Problem using Evolutionary Diversity Optimisation—0
Exploring Implicit Sentiment Evoked by Fine-grained News Events—0
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