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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

Showing 74017450 of 9051 papers

TitleStatusHype
Characterizing Model Collapse in Large Language Models Using Semantic Networks and Next-Token Probability0
Align Your Rhythm: Generating Highly Aligned Dance Poses with Gating-Enhanced Rhythm-Aware Feature Representation0
Tunable Hybrid Proposal Networks for the Open World0
Progressive Ensemble Networks for Zero-Shot Recognition0
Self-Training for End-to-End Speech Recognition0
Seller-side Outcome Fairness in Online Marketplaces0
Aligning Instruction Tuning with Pre-training0
Semantically Aligned Task Decomposition in Multi-Agent Reinforcement Learning0
A9 Intersection Dataset: All You Need for Urban 3D Camera-LiDAR Roadside Perception0
Semantically Enriched Cross-Lingual Sentence Embeddings for Crisis-related Social Media Texts0
UW-CVGAN: UnderWater Image Enhancement with Capsules Vectors Quantization0
Semantic-Aware Representation of Multi-Modal Data for Data Ingress: A Literature Review0
Semantic Cells: Evolutional Process to Acquire Sense Diversity of Items0
VAE-QWGAN: Addressing Mode Collapse in Quantum GANs via Autoencoding Priors0
Alibaba Submission to the WMT20 Parallel Corpus Filtering Task0
Semantic Diversity by Phonetics for Accurate and Robust Machine Translation0
Semantic Diversity for Natural Language Understanding Evaluation in Dialog Systems0
Semantic Diversity in Dialogue with Natural Language Inference0
Alibaba Submission to the WMT18 Parallel Corpus Filtering Task0
Semantic-diversity transfer network for generalized zero-shot learning via inner disagreement based OOD detector0
Semantic Diversity versus Visual Diversity in Visual Dictionaries0
Semantic Example Guided Image-to-Image Translation0
Semantic Exploration with Adaptive Gating for Efficient Problem Solving with Language Models0
An Algorithm for Multi-Attribute Diverse Matching0
Semantic-Guided Generative Image Augmentation Method with Diffusion Models for Image Classification0
Algorithmic Scenario Generation as Quality Diversity Optimization0
Semantic Map Guided Synthesis of Wireless Capsule Endoscopy Images using Diffusion Models0
Semantic Neighborhood Ordering in Multi-objective Genetic Programming based on Decomposition0
Semantic-Rearrangement-Based Multi-Level Alignment for Domain Generalized Segmentation0
Semantic Scene Completion with Multi-Feature Data Balancing Network0
Semantics Disentangling for Text-to-Image Generation0
Semantic Segmentation for Point Cloud Scenes via Dilated Graph Feature Aggregation and Pyramid Decoders0
Semantics in Multi-objective Genetic Programming0
Vagueness in Predicates and Objects0
Semantic uncertainty guides the extension of conventions to new referents0
Semantic WordRank: Generating Finer Single-Document Summarizations0
SemAug: Semantically Meaningful Image Augmentations for Object Detection Through Language Grounding0
Algorithmic Hiring and Diversity: Reducing Human-Algorithm Similarity for Better Outcomes0
Algorithmically probable mutations reproduce aspects of evolution such as convergence rate, genetic memory, and modularity0
A Learning Scheme for Microgrid Islanding and Reconnection0
Semi-Implicit Generative Model0
Semi-Instruct: Bridging Natural-Instruct and Self-Instruct for Code Large Language Models0
Validation Free and Replication Robust Volume-based Data Valuation0
Semi-Supervised Convolutional Neural Networks for Human Activity Recognition0
Learning distinct features helps, provably0
A Learning-Exploring Method to Generate Diverse Paraphrases with Multi-Objective Deep Reinforcement Learning0
Semi-supervised FusedGAN for Conditional Image Generation0
Semi-Supervised Health Index Monitoring with Feature Generation and Fusion0
A Large-Scale 3D Face Mesh Video Dataset via Neural Re-parameterized Optimization0
A Large Language Model for Feasible and Diverse Population Synthesis0
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