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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

Showing 61516200 of 9051 papers

TitleStatusHype
Noise Conditional Flow Model for Learning the Super-Resolution SpaceCode1
Enhancing Label Correlation Feedback in Multi-Label Text Classification via Multi-Task LearningCode1
Feature-based Style Randomization for Domain Generalization0
Large-scale Unsupervised Semantic SegmentationCode1
PreferenceNet: Encoding Human Preferences in Auction Design with Deep LearningCode1
Ensemble Defense with Data Diversity: Weak Correlation Implies Strong Robustness0
Meta-Learning with Variational Semantic Memory for Word Sense DisambiguationCode0
Auditing Source Diversity Bias in Video Search Results Using Virtual Agents0
Celebrating Diversity in Shared Multi-Agent Reinforcement LearningCode1
Barcode Method for Generative Model Evaluation driven by Topological Data AnalysisCode1
Optimization Variance: Exploring Generalization Properties of DNNsCode0
Generate, Prune, Select: A Pipeline for Counterspeech Generation against Online Hate SpeechCode1
Sound-to-imagination: Unsupervised cross- modal translation using deep dense network architecture.0
RAD-TTS: Parallel Flow-Based TTS with Robust Alignment Learning and Diverse SynthesisCode1
PP-Rec: News Recommendation with Personalized User Interest and Time-aware News Popularity0
A survey of part-of-speech tagging approaches applied to K’iche’0
Experiments on a Guarani Corpus of News and Social Media0
FrameNet and Typology0
Explaining crime diversity with Google street viewCode0
Linguistic Complexity Loss in Text-Based Therapy0
Coherent and Concise Radiology Report Generation via Context Specific Image Representations and Orthogonal Sentence States0
Grouping Words with Semantic DiversityCode0
EaSe: A Diagnostic Tool for VQA based on Answer DiversityCode0
Generating An Optimal Interview Question Plan Using A Knowledge Graph And Integer Linear Programming0
An Entropy Regularization Free Mechanism for Policy-based Reinforcement Learning0
Cash versus Kind: Benchmarking a Child Nutrition Program against Unconditional Cash Transfers in Rwanda0
Discovering Diverse Nearly Optimal Policies with Successor Features0
Decoupling Shape and Density for Liver Lesion Synthesis Using Conditional Generative Adversarial Networks0
Exploring the Diversity and Invariance in Yourself for Visual Pre-Training Task0
Data Fusion for Deep Learning on Transport Mode Detection: A Case StudyCode0
Learning from Perturbations: Diverse and Informative Dialogue Generation with Inverse Adversarial Training0
Representation Learning Beyond Linear Prediction Functions0
Pixel super-resolved lensless on-chip sensor with scattering multiplexing0
SNIPS: Solving Noisy Inverse Problems StochasticallyCode1
A Novel Automatic Modulation Classification Scheme Based on Multi-Scale Networks0
Towards Diverse Paragraph Captioning for Untrimmed VideosCode1
Diversifying Dialog Generation via Adaptive Label SmoothingCode1
Transforming the Latent Space of StyleGAN for Real Face EditingCode1
Greedy Bayesian Posterior Approximation with Deep EnsemblesCode1
A Simulation-Optimization Technique for Service Level Analysis in Conjunction with Reorder Point Estimation and Lead-Time consideration: A Case Study in Sea Port0
About Explicit Variance Minimization: Training Neural Networks for Medical Imaging With Limited Data AnnotationsCode0
THINK: A Novel Conversation Model for Generating Grammatically Correct and Coherent Responses0
ResT: An Efficient Transformer for Visual RecognitionCode1
Early Exiting with Ensemble Internal Classifiers0
The Herbarium 2021 Half-Earth Challenge DatasetCode1
IRS-Assisted Massive MIMO-NOMA Networks with Polarization Diversity0
How Does Distilled Data Complexity Impact the Quality and Confidence of Non-Autoregressive Machine Translation?0
Synthetic Data Generation for Grammatical Error Correction with Tagged Corruption ModelsCode1
Deconditional Downscaling with Gaussian ProcessesCode0
ProtAugment: Unsupervised diverse short-texts paraphrasing for intent detection meta-learningCode1
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