SOTAVerified

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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 3301–3350 of 9051 papers

TitleStatusHype
Robustness for Free: Quality-Diversity Driven Discovery of Agile Soft Robotic Gaits—0
Task-Agnostic Low-Rank Adapters for Unseen English DialectsCode0
Long Story Short: a Summarize-then-Search Method for Long Video Question AnsweringCode0
Tailoring Mixup to Data for CalibrationCode0
Artificial Intelligence Ethics Education in Cybersecurity: Challenges and Opportunities: a focus group report—0
Multi-dimensional data refining strategy for effective fine-tuning LLMs—0
Knowledge-Infused Prompting: Assessing and Advancing Clinical Text Data Generation with Large Language ModelsCode1
Enhanced Generalization through Prioritization and Diversity in Self-Imitation Reinforcement Learning over Procedural Environments with Sparse Rewards—0
StableFDG: Style and Attention Based Learning for Federated Domain Generalization—0
DEFN: Dual-Encoder Fourier Group Harmonics Network for Three-Dimensional Indistinct-Boundary Object SegmentationCode1
Optimal Budgeted Rejection Sampling for Generative Models—0
Diversity and Diffusion: Observations on Synthetic Image Distributions with Stable Diffusion—0
Density-based User Representation using Gaussian Process Regression for Multi-interest Personalized Retrieval—0
Evaluating Neural Language Models as Cognitive Models of Language AcquisitionCode0
Optimizing accuracy and diversity: a multi-task approach to forecast combinations—0
Farthest Greedy Path Sampling for Two-shot Recommender Search—0
SimMMDG: A Simple and Effective Framework for Multi-modal Domain GeneralizationCode1
Role of Structural and Conformational Diversity for Machine Learning Potentials—0
Which Examples to Annotate for In-Context Learning? Towards Effective and Efficient SelectionCode1
A Path to Simpler Models Starts With Noise—0
AMLNet: Adversarial Mutual Learning Neural Network for Non-AutoRegressive Multi-Horizon Time Series ForecastingCode0
Controllable Group Choreography using Contrastive DiffusionCode1
End-to-End Autoregressive Retrieval via Bootstrapping for Smart Reply Systems—0
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
Exploring Data Augmentations on Self-/Semi-/Fully- Supervised Pre-trained Models—0
Edge AI Inference in Heterogeneous Constrained Computing: Feasibility and Opportunities—0
Machine Learning Infused Distributed Optimization for Coordinating Virtual Power Plant Assets—0
TarGEN: Targeted Data Generation with Large Language ModelsCode1
Chain-of-Choice Hierarchical Policy Learning for Conversational RecommendationCode1
ZeroNVS: Zero-Shot 360-Degree View Synthesis from a Single ImageCode2
Towards a Unified Conversational Recommendation System: Multi-task Learning via Contextualized Knowledge DistillationCode0
Semantic Generative Augmentations for Few-Shot CountingCode1
MIM-GAN-based Anomaly Detection for Multivariate Time Series DataCode0
CodeFusion: A Pre-trained Diffusion Model for Code Generation—0
Techniques for supercharging academic writing with generative AI—0
Graph Convolutional Networks for Complex Traffic Scenario Classification—0
Generative Fractional Diffusion ModelsCode1
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
Improving Diversity of Demographic Representation in Large Language Models via Collective-Critiques and Self-Voting—0
S^3-TTA: Scale-Style Selection for Test-Time Augmentation in Biomedical Image Segmentation—0
Diversity Enhanced Narrative Question Generation for StorybooksCode0
From Pointwise to Powerhouse: Initialising Neural Networks with Generative Models—0
From Posterior Sampling to Meaningful Diversity in Image Restoration—0
BLESS: Benchmarking Large Language Models on Sentence SimplificationCode0
What Makes it Ok to Set a Fire? Iterative Self-distillation of Contexts and Rationales for Disambiguating Defeasible Social and Moral Situations—0
Leveraging Ensemble Diversity for Robust Self-Training in the Presence of Sample Selection BiasCode1
MCC-KD: Multi-CoT Consistent Knowledge DistillationCode0
Show:102550
← PrevPage 67 of 182Next →

No leaderboard results yet.