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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 3551–3575 of 9051 papers

TitleStatusHype
Expressing Diverse Human Driving Behavior with Probabilistic Rewards and Online Inference—0
Exponential Natural Particle Filter—0
Conditional Temporal Variational AutoEncoder for Action Video Prediction—0
Factor-Conditioned Speaking-Style Captioning—0
A Song of Ice and Fire: Analyzing Textual Autotelic Agents in ScienceWorld—0
Factorised Speaker-environment Adaptive Training of Conformer Speech Recognition Systems—0
Factorized Transformer for Multi-Domain Neural Machine Translation—0
Facts are Harder Than Opinions -- A Multilingual, Comparative Analysis of LLM-Based Fact-Checking Reliability—0
A Hybrid Frame Structure Design of OTFS for Multi-tasks Communications—0
Fading Margins for Large-Scale Antenna Systems—0
A blindspot of AI ethics: anti-fragility in statistical prediction—0
Failed Disruption Propagation in Integer Genetic Programming—0
Reliable and diverse evaluation of LLM medical knowledge mastery—0
Exploring Wikipedia Gender Diversity Over Time x2013 The Wikipedia Gender Dashboard (WGD)—0
Exploring Variational Autoencoders for Medical Image Generation: A Comprehensive Study—0
Conditional Single-view Shape Generation for Multi-view Stereo Reconstruction—0
Exploring Values in Museum Artifacts in the SPICE project: a Preliminary Study—0
Exploring Transformer-Based Music Overpainting for Jazz Piano Variations—0
A small Griko-Italian speech translation corpus—0
Exploring Transferable and Robust Adversarial Perturbation Generation from the Perspective of Network Hierarchy—0
Conditional Neural Generation using Sub-Aspect Functions for Extractive News Summarization—0
Exploring the use of Time-Dependent Cross-Network Information for Personalized Recommendations—0
Exploring the Use of Large Language Models for Reference-Free Text Quality Evaluation: An Empirical Study—0
Fairness and Diversity in Information Access Systems—0
A Small but Informed and Diverse Model: The Case of the Multimodal GuessWhat!? Guessing Game—0
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