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 4201–4250 of 9051 papers

TitleStatusHype
Discovering Policies with DOMiNO: Diversity Optimization Maintaining Near Optimality—0
Beyond the Norms: Detecting Prediction Errors in Regression Models—0
Discovering Patterns of Definitions and Methods from Scientific Documents—0
An Empowerment-based Solution to Robotic Manipulation Tasks with Sparse Rewards—0
A Closer Look at Few-shot Image Generation—0
Improved Diversity-Promoting Collaborative Metric Learning for Recommendation—0
Discovering Generalizable Skills via Automated Generation of Diverse Tasks—0
Discovering Evolutionary Stepping Stones through Behavior Domination—0
Beyond Static Models and Test Sets: Benchmarking the Potential of Pre-trained Models Across Tasks and Languages—0
Discovering Diverse Nearly Optimal Policies with Successor Features—0
Beyond Squared Error: Exploring Loss Design for Enhanced Training of Generative Flow Networks—0
3D-Aware Indoor Scene Synthesis with Depth Priors—0
Improved generator objectives for GANs—0
Improved Regularity Model-based EDA for Many-objective Optimization—0
Improved Texture Networks: Maximizing Quality and Diversity in Feed-forward Stylization and Texture Synthesis—0
Discovering Diverse Athletic Jumping Strategies—0
Beyond Spatial Pyramid Matching: Space-time Extended Descriptor for Action Recognition—0
Learning Coherent Matrixized Representation in Latent Space for Volumetric 4D Generation—0
Impossible Distillation: from Low-Quality Model to High-Quality Dataset & Model for Summarization and Paraphrasing—0
Beyond Single-Point Judgment: Distribution Alignment for LLM-as-a-Judge—0
Beyond Size and Class Balance: Alpha as a New Dataset Quality Metric for Deep Learning—0
A Deep Learning Method for Complex Human Activity Recognition Using Virtual Wearable Sensors—0
Disagreement amongst counterfactual explanations: How transparency can be deceptive—0
Direct Preference Optimization-Enhanced Multi-Guided Diffusion Model for Traffic Scenario Generation—0
(Im)possibility of Collective Intelligence—0
Improved Beam Search for Hallucination Mitigation in Abstractive Summarization—0
A deep-learning-based approach for fast and robust steel surface defects classification—0
Semantic Data Augmentation based Distance Metric Learning for Domain Generalization—0
Beyond Scale: The Diversity Coefficient as a Data Quality Metric for Variability in Natural Language Data—0
DiRe Committee : Diversity and Representation Constraints in Multiwinner Elections—0
A Classifier-free Ensemble Selection Method based on Data Diversity in Random Subspaces—0
Out-of-distribution detection for regression tasks: parameter versus predictor entropy—0
DiRaC-I: Identifying Diverse and Rare Training Classes for Zero-Shot Learning—0
Dipper: Diversity in Prompts for Producing Large Language Model Ensembles in Reasoning tasks—0
Beyond Relevance: An Adaptive Exploration-Based Framework for Personalized Recommendations—0
An Empirical Study of Group Conformity in Multi-Agent Systems—0
Beyond Recommender: An Exploratory Study of the Effects of Different AI Roles in AI-Assisted Decision Making—0
Diversity-Inducing Policy Gradient: Using Maximum Mean Discrepancy to Find a Set of Diverse Policies—0
Importance-Driven Deep Learning System Testing—0
Improved cooperation by balancing exploration and exploitation in intertemporal social dilemma tasks—0
An Empirical Study of Finding Similar Exercises—0
Dimensions of Diversity in Human Perceptions of Algorithmic Fairness—0
A Deep Generative Model for Feasible and Diverse Population Synthesis—0
Dimensionality reduction for k-means clustering of large-scale influenza mutation datasets—0
DimCL: Dimensional Contrastive Learning For Improving Self-Supervised Learning—0
Implementing Evaluation Metrics Based on Theories of Democracy in News Comment Recommendation (Hackathon Report)—0
DIMCIM: A Quantitative Evaluation Framework for Default-mode Diversity and Generalization in Text-to-Image Generative Models—0
DiMA: Sequence Diversity Dynamics Analyser for Viruses—0
Beyond Optimizing for Clicks: Incorporating Editorial Values in News Recommendation—0
Digital Twin-Oriented Complex Networked Systems based on Heterogeneous Node Features and Interaction Rules—0
Show:102550
← PrevPage 85 of 182Next →

No leaderboard results yet.