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
Combining Planning and Deep Reinforcement Learning in Tactical Decision Making for Autonomous Driving—0
Evaluating and Incentivizing Diverse Data Contributions in Collaborative Learning—0
Diversifying the Mixture-of-Experts Representation for Language Models with Orthogonal Optimizer—0
BranchOut: Regularization for Online Ensemble Tracking With Convolutional Neural Networks—0
Evaluating automatic cross-domain Dutch semantic role annotation—0
Evaluating Bias in LLMs for Job-Resume Matching: Gender, Race, and Education—0
Evaluating clinical diversity and plausibility of synthetic capsule endoscopic images—0
Combining State-of-the-Art Models with Maximal Marginal Relevance for Few-Shot and Zero-Shot Multi-Document Summarization—0
Combining Word Embeddings and N-grams for Unsupervised Document Summarization—0
A Generative Re-ranking Model for List-level Multi-objective Optimization at Taobao—0
Evaluating Diversity of Multiword Expressions in Annotated Text—0
Evaluating Evasion Strategies in Zebrafish Larvae—0
Comeback kids: an evolutionary approach of the long-run innovation process—0
Evaluating for Diversity in Question Generation over Text—0
An Interval-Based Bayesian Generative Model for Human Complex Activity Recognition—0
Evaluating Image Caption via Cycle-consistent Text-to-Image Generation—0
Diversifying Sparsity Using Variational Determinantal Point Processes—0
Evaluating Inclusivity, Equity, and Accessibility of NLP Technology: A Case Study for Indian Languages—0
LDFaceNet: Latent Diffusion-based Network for High-Fidelity Deepfake Generation—0
FBC-GAN: Diverse and Flexible Image Synthesis via Foreground-Background Composition—0
Comment Section Personalization: Algorithmic, Interface, and Interaction Design—0
Evaluating Post-Training Compression in GANs using Locality-Sensitive Hashing—0
Evaluating race and sex diversity in the world's largest companies using deep neural networks—0
Evaluating Stochastic Rankings with Expected Exposure—0
Evaluating Tag Recommendations for E-Book Annotation Using a Semantic Similarity Metric—0
Evaluating text coherence based on the graph of the consistency of phrases to identify symptoms of schizophrenia—0
BrainFrame: A node-level heterogeneous accelerator platform for neuron simulations—0
Diversifying Reply Suggestions using a Matching-Conditional Variational Autoencoder—0
Brain-Computer Interfaces for Emotional Regulation in Patients with Various Disorders—0
Diversifying Question Generation over Knowledge Base via External Natural Questions—0
Evaluating the Unseen Capabilities: How Many Theorems Do LLMs Know?—0
Evaluating Visual and Cultural Interpretation: The K-Viscuit Benchmark with Human-VLM Collaboration—0
Evaluation and Comparison of Edge-Preserving Filters—0
Diversifying Neural Text Generation with Part-of-Speech Guided Softmax and Sampling—0
Shadow Transfer: Single Image Relighting For Urban Road Scenes—0
Evaluation of Genotypic Diversity Measurements Exploited in Real-Coded Representation—0
Evaluation of large-scale synthetic data for Grammar Error Correction—0
Evaluation of RF Fingerprinting-Aided RSS-Based Target Localization for Emergency Response—0
Evaluation of Self-taught Learning-based Representations for Facial Emotion Recognition—0
Evaluation of Synthetic Datasets for Conversational Recommender Systems—0
FCBoost-Net: A Generative Network for Synthesizing Multiple Collocated Outfits via Fashion Compatibility Boosting—0
Evaluation of Word Embeddings for the Social Sciences—0
Diversifying Neural Conversation Model with Maximal Marginal Relevance—0
EventAug: Multifaceted Spatio-Temporal Data Augmentation Methods for Event-based Learning—0
Event Detection: Gate Diversity and Syntactic Importance Scoresfor Graph Convolution Neural Networks—0
Event Detection: Gate Diversity and Syntactic Importance Scores for Graph Convolution Neural Networks—0
Diversifying Multi-aspect Search Results Using Simpson's Diversity Index—0
Brain Cancer Survival Prediction on Treatment-na ive MRI using Deep Anchor Attention Learning with Vision Transformer—0
Comparative Analysis of Indicators for Multiobjective Diversity Optimization—0
Diversifying Inference Path Selection: Moving-Mobile-Network for Landmark Recognition—0
Show:102550
← PrevPage 67 of 182Next →

No leaderboard results yet.