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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

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Showing 8101–8150 of 9051 papers

TitleStatusHype
FaceFeat-GAN: a Two-Stage Approach for Identity-Preserving Face Synthesis—0
Towards Continuous Domain adaptation for Healthcare—0
Generating Diverse Programs with Instruction Conditioned Reinforced Adversarial Learning—0
A Wasserstein GAN model with the total variational regularization—0
Ego-Downward and Ambient Video based Person Location Association—0
Maximum-Entropy Fine Grained Classification—0
Toddler-Inspired Visual Object Learning—0
Diverse Ensemble Evolution: Curriculum Data-Model Marriage—0
Efficient nonmyopic batch active search—0
GDPP: Learning Diverse Generations Using Determinantal Point ProcessCode0
Community structures in allelopathic interaction networks: an eco-evolutionary approach—0
Are All Training Examples Created Equal? An Empirical Study—0
A new system-wide diversity measure for recommendations with efficient algorithms—0
Patterning the insect eye: from stochastic to deterministic mechanisms—0
The Graph-Based Behavior-Aware Recommendation for Interactive NewsCode0
Molecular Sets (MOSES): A Benchmarking Platform for Molecular Generation ModelsCode0
InstaNAS: Instance-aware Neural Architecture SearchCode0
Show, Control and Tell: A Framework for Generating Controllable and Grounded CaptionsCode0
GP-CNAS: Convolutional Neural Network Architecture Search with Genetic Programming—0
AI Fairness for People with Disabilities: Point of View—0
GANtruth - an unpaired image-to-image translation method for driving scenarios—0
Scene Text Detection with Supervised Pyramid Context NetworkCode0
Resource Mention Extraction for MOOC Discussion Forums—0
A novel hybrid FSO / RF communication system with receive diversity—0
New expressions on the performance of a novel multi-hop relay-assisted hybrid FSO / RF communication system with receive diversity—0
Another Diversity-Promoting Objective Function for Neural Dialogue GenerationCode0
The long-term impact of ranking algorithms in growing networks—0
Behavioral Malware Classification using Convolutional Recurrent Neural Networks—0
CompoNet: Learning to Generate the Unseen by Part Synthesis and CompositionCode0
Chat More If You Like: Dynamic Cue Words Planning to Flow Longer Conversations—0
Clubmark: a Parallel Isolation Framework for Benchmarking and Profiling Clustering Algorithms on NUMA ArchitecturesCode0
Deep Determinantal Point Processes—0
Evolutionary Diversity Optimization Using Multi-Objective Indicators—0
Towards Large-Scale Exploratory Search over Heterogeneous Sources—0
Generating Multiple Diverse Responses for Short-Text Conversation—0
Modular Networks: Learning to Decompose Neural Computation—0
Universal and generalizable restoration strategies for degraded ecological networks—0
Combining Learned Lyrical Structures and Vocabulary for Improved Lyric Generation—0
Parameterized Synthetic Image Data Set for Fisheye Lens—0
User Modeling for Task Oriented Dialogues—0
Attentive Aspect Modeling for Review-aware Recommendation—0
Diversity-Driven Extensible Hierarchical Reinforcement LearningCode0
Iterative Classroom Teaching—0
Multi-Cycle Assignment Problems with Rotational Diversity—0
Behavioural Repertoire via Generative Adversarial Policy Networks—0
Graph based Entropy for Detecting Explanatory Signs of Changes in Market—0
Language GANs Falling ShortCode0
Student's t-Generative Adversarial Networks—0
Closed-Loop Memory GAN for Continual Learning—0
Learning from Large-scale Noisy Web Data with Ubiquitous Reweighting for Image Classification—0
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