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 3401–3425 of 9051 papers

TitleStatusHype
Expand and Filter: CUNI and LMU Systems for the WNGT 2020 Duolingo Shared Task—0
Expanding Chatbot Knowledge in Customer Service: Context-Aware Similar Question Generation Using Large Language Models—0
Diversify and Conquer: Bandits and Diversity for an Enhanced E-commerce Homepage Experience—0
ASAPP-ASR: Multistream CNN and Self-Attentive SRU for SOTA Speech Recognition—0
BOP-Elites, a Bayesian Optimisation algorithm for Quality-Diversity search—0
Expansion under climate change: the genetic consequences—0
Diversified Visual Attention Networks for Fine-Grained Object Classification—0
Expecting the Unexpected: Developing Autonomous-System Design Principles for Reacting to Unpredicted Events and Conditions—0
Expedition: A Time-Aware Exploratory Search System Designed for Scholars—0
Diversified Texture Synthesis with Feed-forward Networks—0
Experimental Results of a 3D Millimeter-Wave Compressive-Reflector-Antenna Imaging System—0
Experimental Study of RCS Diversity with Novel No-divergent OAM Beams—0
An Information-Theoretic Approach for Estimating Scenario Generalization in Crowd Motion Prediction—0
Experimental Validation of Coherent Joint Transmission in a Distributed-MIMO System with Analog Fronthaul for 6G—0
A Collection of Deep Learning-based Feature-Free Approaches for Characterizing Single-Objective Continuous Fitness Landscapes—0
Experiments on a Guarani Corpus of News and Social Media—0
Experiments on Generalizability of BERTopic on Multi-Domain Short Text—0
Expert-Agnostic Learning to Defer—0
ExpertGenQA: Open-ended QA generation in Specialized Domains—0
Expert-Guided Symmetry Detection in Markov Decision Processes—0
EXPLAIN, AGREE, LEARN: Scaling Learning for Neural Probabilistic Logic—0
Compositional diversity in visual concept learning—0
A Self-Commissioning Edge Computing Method for Data-Driven Anomaly Detection in Power Electronic Systems—0
Few-Shot Learning with Intra-Class Knowledge Transfer—0
Diversified Sampling Improves Scaling LLM inference—0
Show:102550
← PrevPage 137 of 363Next →

No leaderboard results yet.