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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 5001–5025 of 9051 papers

TitleStatusHype
PODIA-3D: Domain Adaptation of 3D Generative Model Across Large Domain Gap Using Pose-Preserved Text-to-Image Diffusion—0
FisHook -- An Optimized Approach to Marine Specie Classification using MobileNetV2—0
Ensemble prosody prediction for expressive speech synthesis—0
MetaHead: An Engine to Create Realistic Digital Head—0
Exploring the Use of Large Language Models for Reference-Free Text Quality Evaluation: An Empirical Study—0
A Guide for Practical Use of ADMG Causal Data AugmentationCode0
MMT: A Multilingual and Multi-Topic Indian Social Media Dataset—0
Progressive Random Convolutions for Single Domain Generalization—0
The Edinburgh International Accents of English Corpus: Towards the Democratization of English ASR—0
Where are we in the search for an Artificial Visual Cortex for Embodied Intelligence?—0
FONT: Flow-guided One-shot Talking Head Generation with Natural Head Motions—0
Online Camera-to-ground Calibration for Autonomous Driving—0
Finetuning from Offline Reinforcement Learning: Challenges, Trade-offs and Practical Solutions—0
KD-DLGAN: Data Limited Image Generation via Knowledge Distillation—0
Assessing Cross-Cultural Alignment between ChatGPT and Human Societies: An Empirical StudyCode0
Utilizing Reinforcement Learning for de novo Drug DesignCode0
Asymmetric Image Retrieval with Cross Model Compatible Ensembles—0
All You Need Is Sex for Diversity—0
Using Semantic Similarity and Text Embedding to Measure the Social Media Echo of Strategic Communications—0
On the number of equilibria of the replicator-mutator dynamics for noisy social dilemmas—0
Bias or Diversity? Unraveling Fine-Grained Thematic Discrepancy in U.S. News Headlines—0
Philosophical Foundations of GeoAI: Exploring Sustainability, Diversity, and Bias in GeoAI and Spatial Data Science—0
Retrievability in an Integrated Retrieval System: An Extended Study—0
Improving Contextualized Topic Models with Negative SamplingCode0
The Quality-Diversity Transformer: Generating Behavior-Conditioned Trajectories with Decision Transformers—0
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