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 7151–7200 of 9051 papers

TitleStatusHype
Testing Determinantal Point Processes—0
Multimodal Image-to-Image Translation via Mutual Information Estimation and Maximization—0
Diversifying Task-oriented Dialogue Response Generation with Prototype Guided ParaphrasingCode0
Recursive Multi-model Complementary Deep Fusion forRobust Salient Object Detection via Parallel Sub NetworksCode0
BATS: A Spectral Biclustering Approach to Single Document Topic Modeling and Segmentation—0
Resource Allocation in 6G Optical Wireless Systems—0
Quality and Diversity in Evolutionary Modular Robotics—0
Performance Evaluation of OTFS Over Measured V2V Channels at 60 GHz—0
Spherical Feature Transform for Deep Metric Learning—0
Attribute-aware Diversification for Sequential RecommendationsCode0
Analyzing the Components of Distributed Coevolutionary GAN Training—0
Deep Complementary Joint Model for Complex Scene Registration and Few-shot Segmentation on Medical Images—0
Cluster-Based Cooperative Digital Over-the-Air Aggregation for Wireless Federated Edge Learning—0
Lanfrica: A Participatory Approach to Documenting Machine Translation Research on African Languages—0
Cross-Domain Adaptation of Spoken Language Identification for Related Languages: The Curious Case of Slavic LanguagesCode0
On Diverse Asynchronous Activity Anticipation—0
Adaptive Margin Diversity Regularizer for handling Data Imbalance in Zero-Shot SBIR—0
Exclusivity-Consistency Regularized Knowledge Distillation for Face Recognition—0
From Shadow Segmentation to Shadow Removal—0
SPOT: Selective Point Cloud Voting for Better Proposal in Point Cloud Object Detection—0
Sequential Deformation for Accurate Scene Text Detection—0
Adversarial Attacks with Multiple Antennas Against Deep Learning-Based Modulation Classifiers—0
Advanced Strategies of Portfolio Management in the Heston Market Model—0
SMART: Simultaneous Multi-Agent Recurrent Trajectory Prediction—0
Feedback Loop and Bias Amplification in Recommender Systems—0
Long-tail Session-based Recommendation—0
Exclusion of the fittest predicts microbial community diversity in fluctuating environmentsCode0
Integrating Image Captioning with Rule-based Entity Masking—0
Garment Design with Generative Adversarial Networks—0
Complementary Boundary Generator with Scale-Invariant Relation Modeling for Temporal Action Localization: Submission to ActivityNet Challenge 2020—0
Improving Diversity and Reducing Redundancy in Paragraph Captions—0
Large Intelligent Surface Assisted Non-Orthogonal Multiple Access: Performance Analysis—0
Constraint-Based Software Diversification for Efficient Mitigation of Code-Reuse Attacks—0
A high fidelity synthetic face framework for computer vision—0
Amended Cross Entropy Cost: Framework For Explicit Diversity Encouragement—0
Facets of Fairness in Search and Recommendation—0
Dialect Diversity in Text Summarization on Twitter—0
Localization, epidemic transitions, and unpredictability of multistrain epidemics with an underlying genotype network—0
Temporal Distinct Representation Learning for Action Recognition—0
The Cone epsilon-Dominance: An Approach for Evolutionary Multiobjective Optimization—0
A Systematic Survey on Deep Generative Models for Graph Generation—0
Exploring the Evolution of GANs through Quality DiversityCode0
Improving Maximum Likelihood Training for Text Generation with Density Ratio Estimation—0
Speed and fate diversity tradeoff in nematode's early embryogenesis—0
Multi-Emitter MAP-Elites: Improving quality, diversity and convergence speed with heterogeneous sets of emittersCode0
Improving Style-Content Disentanglement in Image-to-Image Translation—0
PathGAN: Local Path Planning with Attentive Generative Adversarial NetworksCode0
Learning Model-Blind Temporal Denoisers without Ground Truths—0
Benefiting Deep Latent Variable Models via Learning the Prior and Removing Latent Regularization—0
Understanding the Impact of Model Incoherence on Convergence of Incremental SGD with Random Reshuffle—0
Show:102550
← PrevPage 144 of 182Next →

No leaderboard results yet.