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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 4351–4400 of 9051 papers

TitleStatusHype
AMLNet: Adversarial Mutual Learning Neural Network for Non-AutoRegressive Multi-Horizon Time Series ForecastingCode0
Ever Evolving Evaluator (EV3): Towards Flexible and Reliable Meta-Optimization for Knowledge Distillation—0
LLMs and Finetuning: Benchmarking cross-domain performance for hate speech detection—0
End-to-End Autoregressive Retrieval via Bootstrapping for Smart Reply Systems—0
Exploring Data Augmentations on Self-/Semi-/Fully- Supervised Pre-trained Models—0
Machine Learning Infused Distributed Optimization for Coordinating Virtual Power Plant Assets—0
Towards a Unified Conversational Recommendation System: Multi-task Learning via Contextualized Knowledge DistillationCode0
Edge AI Inference in Heterogeneous Constrained Computing: Feasibility and Opportunities—0
MIM-GAN-based Anomaly Detection for Multivariate Time Series DataCode0
Techniques for supercharging academic writing with generative AI—0
CodeFusion: A Pre-trained Diffusion Model for Code Generation—0
CADS: Unleashing the Diversity of Diffusion Models through Condition-Annealed Sampling—0
Blind Image Super-resolution with Rich Texture-Aware Codebooks—0
Dialect Adaptation and Data Augmentation for Low-Resource ASR: TalTech Systems for the MADASR 2023 Challenge—0
Graph Convolutional Networks for Complex Traffic Scenario Classification—0
From Pointwise to Powerhouse: Initialising Neural Networks with Generative Models—0
S^3-TTA: Scale-Style Selection for Test-Time Augmentation in Biomedical Image Segmentation—0
Improving Diversity of Demographic Representation in Large Language Models via Collective-Critiques and Self-Voting—0
Diversity Enhanced Narrative Question Generation for StorybooksCode0
From Posterior Sampling to Meaningful Diversity in Image Restoration—0
What Makes it Ok to Set a Fire? Iterative Self-distillation of Contexts and Rationales for Disambiguating Defeasible Social and Moral Situations—0
BLESS: Benchmarking Large Language Models on Sentence SimplificationCode0
Fidelity-Enriched Contrastive Search: Reconciling the Faithfulness-Diversity Trade-Off in Text GenerationCode0
We are Who We Cite: Bridges of Influence Between Natural Language Processing and Other Academic FieldsCode0
DPP-TTS: Diversifying prosodic features of speech via determinantal point processes—0
Diverse Priors for Deep Reinforcement Learning—0
Iteratively Learn Diverse Strategies with State Distance Information—0
MCC-KD: Multi-CoT Consistent Knowledge DistillationCode0
Promoting Generalization for Exact Solvers via Adversarial Instance Augmentation—0
Semantic and Expressive Variation in Image Captions Across Languages—0
Can Offline Metrics Measure Explanation Goals? A Comparative Survey Analysis of Offline Explanation Metrics in Recommender Systems—0
Diversity Preferences, Affirmative Action and Choice Rules—0
Shortcuts for causal discovery of nonlinear models by score matching—0
MeaeQ: Mount Model Extraction Attacks with Efficient QueriesCode0
Fundamental Limits of Membership Inference Attacks on Machine Learning Models—0
Controlled Randomness Improves the Performance of Transformer Models—0
Exploring the Impact of Corpus Diversity on Financial Pretrained Language Models—0
Time-Modulated Intelligent Reflecting Surface for Waveform Security—0
A Quality-based Syntactic Template Retriever for Syntactically-controlled Paraphrase GenerationCode0
Benchmarking and Improving Text-to-SQL Generation under AmbiguityCode0
Knowledge Graph Context-Enhanced Diversified RecommendationCode0
PSGText: Stroke-Guided Scene Text Editing with PSP Module—0
CLAIR: Evaluating Image Captions with Large Language Models—0
Quality-Diversity through AI Feedback—0
Diverse Diffusion: Enhancing Image Diversity in Text-to-Image Generation—0
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
Keep Various Trajectories: Promoting Exploration of Ensemble Policies in Continuous Control—0
An Empirical Study of Translation Hypothesis Ensembling with Large Language ModelsCode0
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