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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 4076–4100 of 9051 papers

TitleStatusHype
Proof of Efficient Liquidity: A Staking Mechanism for Capital Efficient Liquidity—0
EmoGen: Emotional Image Content Generation with Text-to-Image Diffusion Models—0
HyperGANStrument: Instrument Sound Synthesis and Editing with Pitch-Invariant Hypernetworks—0
We Need to Talk About Classification Evaluation Metrics in NLP—0
Chain of LoRA: Efficient Fine-tuning of Language Models via Residual Learning—0
Catalyzing Equity in STEM Teams: Harnessing Generative AI for Inclusion and Diversity—0
PythonSaga: Redefining the Benchmark to Evaluate Code Generating LLMs—0
A multimodal gesture recognition dataset for desktop human-computer interaction—0
FurniScene: A Large-scale 3D Room Dataset with Intricate Furnishing Scenes—0
Predicting the Skies: A Novel Model for Flight-Level Passenger Traffic Forecasting—0
On Sample-Efficient Offline Reinforcement Learning: Data Diversity, Posterior Sampling, and Beyond—0
SPQR: Controlling Q-ensemble Independence with Spiked Random Model for Reinforcement LearningCode0
MsDC-DEQ-Net: Deep Equilibrium Model (DEQ) with Multi-scale Dilated Convolution for Image Compressive Sensing (CS)—0
Question-Answering Based Summarization of Electronic Health Records using Retrieval Augmented Generation—0
Few-shot Image Generation via Information Transfer from the Built Geodesic Surface—0
Applications of machine learning and IoT for Outdoor Air Pollution Monitoring and Prediction: A Systematic Literature Review—0
To Diverge or Not to Diverge: A Morphosyntactic Perspective on Machine Translation vs Human Translation—0
GBSS:a global building semantic segmentation dataset for large-scale remote sensing building extraction—0
Cheetah: Natural Language Generation for 517 African LanguagesCode0
Diversity-aware Buffer for Coping with Temporally Correlated Data Streams in Online Test-time Adaptation—0
In-distribution Public Data Synthesis with Diffusion Models for Differentially Private Image ClassificationCode0
Motion Diversification Networks—0
Training Diffusion Models Towards Diverse Image Generation with Reinforcement Learning—0
SNIDA: Unlocking Few-Shot Object Detection with Non-linear Semantic Decoupling Augmentation—0
Exact Fusion via Feature Distribution Matching for Few-shot Image GenerationCode0
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