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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 6901–6950 of 9051 papers

TitleStatusHype
Few-shot Image Generation with Elastic Weight Consolidation—0
Federated Learning for Personalized Humor Recognition—0
Stochastic Adversarial Gradient Embedding for Active Domain Adaptation—0
Entropy and Diversity: The Axiomatic Approach—0
Forecast with Forecasts: Diversity Matters—0
Detecting Trojaned DNNs Using Counterfactual Attributions—0
Twenty Years of Confusion in Human Evaluation: NLG Needs Evaluation Sheets and Standardised Definitions—0
Integrating User History into Heterogeneous Graph for Dialogue Act Recognition—0
Diverse dialogue generation with context dependent dynamic loss function—0
Lost in Back-Translation: Emotion Preservation in Neural Machine Translation—0
Improving Grammatical Error Correction with Data Augmentation by Editing Latent Representation—0
One Comment from One Perspective: An Effective Strategy for Enhancing Automatic Music CommentCode0
Generalized Shortest-Paths Encoders for AMR-to-Text Generation—0
Offensive Language Detection on Video Live Streaming Chat—0
Compositional Zero-Shot Learning via Fine-Grained Dense Feature Composition—0
SentiRec: Sentiment Diversity-aware Neural News Recommendation—0
Semantic Diversity for Natural Language Understanding Evaluation in Dialog Systems—0
HopeEDI: A Multilingual Hope Speech Detection Dataset for Equality, Diversity, and Inclusion—0
Extractive Financial Narrative Summarisation based on DPPs—0
Improving the Naturalness and Diversity of Referring Expression Generation models using Minimum Risk Training—0
Towards a Universal Features Set for IoT Botnet Attacks Detection—0
A Semantically Consistent and Syntactically Variational Encoder-Decoder Framework for Paraphrase Generation—0
A Learning-Exploring Method to Generate Diverse Paraphrases with Multi-Objective Deep Reinforcement Learning—0
Named-Entity Based Sentiment Analysis of Nepali News Media Texts—0
Towards building a Robust Industry-scale Question Answering System—0
Leveraging Latent Representations of Speech for Indian Language Identification—0
ExpanRL: Hierarchical Reinforcement Learning for Course Concept Expansion in MOOCs—0
Tregs self-organize into a "computing ecosystem" and implement a sophisticated optimization algorithm for mediating immune responseCode0
Boom-bust population dynamics can increase diversity in evolving competitive communities—0
Offline Reinforcement Learning Hands-On—0
Is Support Set Diversity Necessary for Meta-Learning?—0
Deep Active Learning for Sequence Labeling Based on Diversity and Uncertainty in Gradient—0
Decoding and Diversity in Machine Translation—0
Predictive PER: Balancing Priority and Diversity towards Stable Deep Reinforcement Learning—0
Enhanced 3DMM Attribute Control via Synthetic Dataset Creation Pipeline—0
CircleGAN: Generative Adversarial Learning across Spherical CirclesCode0
How to Train Neural Networks for Flare RemovalCode0
Multiclass non-Adversarial Image Synthesis, with Application to Classification from Very Small Sample—0
Two-Step Meta-Learning for Time-Series Forecasting Ensemble—0
GAN based ball screw drive picture database enlargement for failure classification—0
Diverse Plausible Shape Completions from Ambiguous Depth ImagesCode0
Taming and Leveraging Interference in Mobile Radar Networks—0
KddRES: A Multi-level Knowledge-driven Dialogue Dataset for Restaurant Towards Customized Dialogue System—0
Learning Canonical Transformations—0
Sampling Approach Matters: Active Learning for Robotic Language Acquisition—0
Domain Adaptation Gaze Estimation by Embedding with Prediction Consistency—0
Nonlinearity Characteristic of High Impedance Fault at Resonant Distribution Networks: Theoretical Basis to Identify the Faulty Feeder—0
Conditioned Natural Language Generation using only Unconditioned Language Model: An Exploration—0
Behaviorally Diverse Traffic Simulation via Reinforcement Learning—0
Social Diversity and Spread of Pandemic: Evidence from India—0
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