SOTAVerified

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

Showing 84268450 of 9051 papers

TitleStatusHype
The Impact of Model Zoo Size and Composition on Weight Space LearningCode0
Spatial Evolutionary Generative Adversarial NetworksCode0
Spatial Focused Bitemporal Interactive Network for Remote Sensing Image Change DetectionCode0
Diverse Rare Sample Generation with Pretrained GANsCode0
Spatial Heterophily Aware Graph Neural NetworksCode0
Model Composition: Can Multiple Neural Networks Be Combined into a Single Network Using Only Unlabeled Data?Code0
Teacher-Student Compression with Generative Adversarial NetworksCode0
Spatial Information Considered Network for Scene ClassificationCode0
Model-Free Renewable Scenario Generation Using Generative Adversarial NetworksCode0
Flow-Grounded Spatial-Temporal Video Prediction from Still ImagesCode0
Unraveling Batch Normalization for Realistic Test-Time AdaptationCode0
COD3S: Diverse Generation with Discrete Semantic SignaturesCode0
Unraveling Code-Mixing Patterns in Migration Discourse: Automated Detection and Analysis of Online Conversations on RedditCode0
Diverse Probabilistic Trajectory Forecasting with Admissibility ConstraintsCode0
Diverse Policies Converge in Reward-free Markov Decision ProcesseCode0
Flow Diverse and Efficient: Learning Momentum Flow Matching via Stochastic Velocity Field SamplingCode0
Trading Redundancy for Communication: Speeding up Distributed SGD for Non-convex OptimizationCode0
Traffic Scenario Logic: A Spatial-Temporal Logic for Modeling and Reasoning of Urban Traffic ScenariosCode0
Diverse Plausible Shape Completions from Ambiguous Depth ImagesCode0
Diverse Online Feature SelectionCode0
Modeling Musical Genre Trajectories through Pathlet LearningCode0
Diversely Regularized Matrix Factorization for Accurate and Aggregately Diversified RecommendationCode0
Diverse Keyphrase Generation with Neural Unlikelihood TrainingCode0
Modeling the Q-Diversity in a Min-max Play Game for Robust OptimizationCode0
Flickr-PAD: New Face High-Resolution Presentation Attack Detection DatabaseCode0
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