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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 3351–3400 of 9051 papers

TitleStatusHype
DPP-TTS: Diversifying prosodic features of speech via determinantal point processes—0
Diversify Question Generation with Retrieval-Augmented Style TransferCode1
We are Who We Cite: Bridges of Influence Between Natural Language Processing and Other Academic FieldsCode0
Leveraging Ensemble Diversity for Robust Self-Training in the Presence of Sample Selection BiasCode1
Diverse Priors for Deep Reinforcement Learning—0
Fidelity-Enriched Contrastive Search: Reconciling the Faithfulness-Diversity Trade-Off in Text GenerationCode0
AlpaCare:Instruction-tuned Large Language Models for Medical ApplicationCode1
Iteratively Learn Diverse Strategies with State Distance Information—0
Neural Multi-Objective Combinatorial Optimization with Diversity EnhancementCode1
Shortcuts for causal discovery of nonlinear models by score matching—0
Semantic and Expressive Variation in Image Captions Across Languages—0
Promoting Generalization for Exact Solvers via Adversarial Instance Augmentation—0
Diversity Preferences, Affirmative Action and Choice Rules—0
Can Offline Metrics Measure Explanation Goals? A Comparative Survey Analysis of Offline Explanation Metrics in Recommender Systems—0
MeaeQ: Mount Model Extraction Attacks with Efficient QueriesCode0
Exploring the Impact of Corpus Diversity on Financial Pretrained Language Models—0
Controlled Randomness Improves the Performance of Transformer Models—0
Time-Modulated Intelligent Reflecting Surface for Waveform Security—0
PSGText: Stroke-Guided Scene Text Editing with PSP Module—0
A Quality-based Syntactic Template Retriever for Syntactically-controlled Paraphrase GenerationCode0
CAPIVARA: Cost-Efficient Approach for Improving Multilingual CLIP Performance on Low-Resource LanguagesCode1
Fundamental Limits of Membership Inference Attacks on Machine Learning Models—0
FLAIR: a Country-Scale Land Cover Semantic Segmentation Dataset From Multi-Source Optical ImageryCode1
Knowledge Graph Context-Enhanced Diversified RecommendationCode0
Benchmarking and Improving Text-to-SQL Generation under AmbiguityCode0
Quality-Diversity through AI Feedback—0
Particle Guidance: non-I.I.D. Diverse Sampling with Diffusion ModelsCode1
Blending gradient boosted trees and neural networks for point and probabilistic forecasting of hierarchical time seriesCode1
Cousins Of The Vendi Score: A Family Of Similarity-Based Diversity Metrics For Science And Machine LearningCode1
CLAIR: Evaluating Image Captions with Large Language Models—0
Diverse Diffusion: Enhancing Image Diversity in Text-to-Image Generation—0
AutoMix: Automatically Mixing Language ModelsCode1
MixEdit: Revisiting Data Augmentation and Beyond for Grammatical Error CorrectionCode1
Quality Diversity through Human Feedback: Towards Open-Ended Diversity-Driven OptimizationCode1
PREM: A Simple Yet Effective Approach for Node-Level Graph Anomaly DetectionCode1
InfoDiffusion: Information Entropy Aware Diffusion Process for Non-Autoregressive Text GenerationCode0
DASA: Difficulty-Aware Semantic Augmentation for Speaker Verification—0
Program Translation via Code Distillation—0
Knowledge Extraction and Distillation from Large-Scale Image-Text Colonoscopy Records Leveraging Large Language and Vision ModelsCode1
Keep Various Trajectories: Promoting Exploration of Ensemble Policies in Continuous Control—0
VoxArabica: A Robust Dialect-Aware Arabic Speech Recognition System—0
Medical Text Simplification: Optimizing for Readability with Unlikelihood Training and Reranked Beam Search DecodingCode0
An Empirical Study of Translation Hypothesis Ensembling with Large Language ModelsCode0
MOFDiff: Coarse-grained Diffusion for Metal-Organic Framework DesignCode1
ACES: Generating Diverse Programming Puzzles with with Autotelic Generative Models—0
CoCoFormer: A controllable feature-rich polyphonic music generation methodCode0
SCME: A Self-Contrastive Method for Data-free and Query-Limited Model Extraction Attack—0
Diversifying the Mixture-of-Experts Representation for Language Models with Orthogonal Optimizer—0
Private Synthetic Data Meets Ensemble Learning—0
Graph Neural Network approaches for single-cell data: A recent overview—0
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