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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 8876–8900 of 9051 papers

TitleStatusHype
E2E NLG Challenge Submission: Towards Controllable Generation of Diverse Natural Language—0
E2R: a Hierarchical-Learning inspired Novelty-Search method to generate diverse repertoires of grasping trajectories—0
EAG: Extract and Generate Multi-way Aligned Corpus for Complete Multi-lingual Neural Machine Translation—0
WaLRUS: Wavelets for Long-range Representation Using SSMs—0
Early Exiting with Ensemble Internal Classifiers—0
Early Stopping Criteria for Training Generative Adversarial Networks in Biomedical Imaging—0
EarthSynth: Generating Informative Earth Observation with Diffusion Models—0
Tencent-MVSE: A Large-Scale Benchmark Dataset for Multi-Modal Video Similarity Evaluation—0
Combining Planning and Deep Reinforcement Learning in Tactical Decision Making for Autonomous Driving—0
Ten computational challenges in human virome studies—0
Eccentric Regularization: Minimizing Hyperspherical Energy without explicit projection—0
ECGAN: Self-supervised generative adversarial network for electrocardiography—0
Echo-chambers and Idea Labs: Communication Styles on Twitter—0
Echo Chambers in Collaborative Filtering Based Recommendation Systems—0
Echoes in AI: Quantifying Lack of Plot Diversity in LLM Outputs—0
Tensor Decomposition based Personalized Federated Learning—0
Ecological communities from random generalised Lotka-Volterra dynamics with non-linear feedback—0
Combining multi-spectral data with statistical and deep-learning models for improved exoplanet detection in direct imaging at high contrast—0
Economic Implications of Corporate Governance and Corporate Social Responsibility: Evidence from Banks in Bangladesh—0
EcoSafeRAG: Efficient Security through Context Analysis in Retrieval-Augmented Generation—0
EDCompress: Energy-Aware Model Compression for Dataflows—0
Tensor Programs VI: Feature Learning in Infinite-Depth Neural Networks—0
Edge AI Inference in Heterogeneous Constrained Computing: Feasibility and Opportunities—0
Edge computing service deployment and task offloading based on multi-task high-dimensional multi-objective optimization—0
Edge Conditional Node Update Graph Neural Network for Multi-variate Time Series Anomaly Detection—0
Show:102550
← PrevPage 356 of 363Next →

No leaderboard results yet.