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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 3551–3600 of 9051 papers

TitleStatusHype
Extending a Tag-based Collaborative Recommender with Co-occurring Information Interests—0
Conditional Text Image Generation with Diffusion Models—0
Expressing Diverse Human Driving Behavior with Probabilistic Rewards and Online Inference—0
Factor-Conditioned Speaking-Style Captioning—0
Exponential Natural Particle Filter—0
Factorised Speaker-environment Adaptive Training of Conformer Speech Recognition Systems—0
Factorized Transformer for Multi-Domain Neural Machine Translation—0
Facts are Harder Than Opinions -- A Multilingual, Comparative Analysis of LLM-Based Fact-Checking Reliability—0
Conditional Temporal Variational AutoEncoder for Action Video Prediction—0
Fading Margins for Large-Scale Antenna Systems—0
A Song of Ice and Fire: Analyzing Textual Autotelic Agents in ScienceWorld—0
Failed Disruption Propagation in Integer Genetic Programming—0
A Hybrid Frame Structure Design of OTFS for Multi-tasks Communications—0
A blindspot of AI ethics: anti-fragility in statistical prediction—0
Reliable and diverse evaluation of LLM medical knowledge mastery—0
Exploring Wikipedia Gender Diversity Over Time x2013 The Wikipedia Gender Dashboard (WGD)—0
Exploring Variational Autoencoders for Medical Image Generation: A Comprehensive Study—0
Conditional Single-view Shape Generation for Multi-view Stereo Reconstruction—0
Exploring Values in Museum Artifacts in the SPICE project: a Preliminary Study—0
Exploring Transformer-Based Music Overpainting for Jazz Piano Variations—0
A small Griko-Italian speech translation corpus—0
Exploring Transferable and Robust Adversarial Perturbation Generation from the Perspective of Network Hierarchy—0
Conditional Neural Generation using Sub-Aspect Functions for Extractive News Summarization—0
Fairness and Diversity in Information Access Systems—0
Exploring the use of Time-Dependent Cross-Network Information for Personalized Recommendations—0
Exploring the Use of Large Language Models for Reference-Free Text Quality Evaluation: An Empirical Study—0
A Small but Informed and Diverse Model: The Case of the Multimodal GuessWhat!? Guessing Game—0
Fairness on Synthetic Visual and Thermal Mask Images—0
FairRAG: Fair Human Generation via Fair Retrieval Augmentation—0
FairSkin: Fair Diffusion for Skin Disease Image Generation—0
A Hybrid Bandit Framework for Diversified Recommendation—0
Exploring the Robustness of Human Parsers Towards Common Corruptions—0
Exploring the Relationship Between Diversity and Quality in Ad Text Generation—0
Conditional Distribution Modelling for Few-Shot Image Synthesis with Diffusion Models—0
Fake It Till You Make It: Face analysis in the wild using synthetic data alone—0
As long as you talk about me: The importance of family firm brands and the contingent role of family-firm identity—0
Exploring the Quality of GAN Generated Images for Person Re-Identification—0
Fantastic Style Channels and Where to Find Them: A Submodular Framework for Discovering Diverse Directions in GANs—0
Exploring the Potentials and Challenges of Using Large Language Models for the Analysis of Transcriptional Regulation of Long Non-coding RNAs—0
Farthest Greedy Path Sampling for Two-shot Recommender Search—0
CONDEN-FI: Consistency and Diversity Learning-based Multi-View Unsupervised Feature and In-stance Co-Selection—0
Fast ABC with joint generative modelling and subset simulation—0
Fast Adaptation in Generative Models with Generative Matching Networks—0
Ask to Understand: Question Generation for Multi-hop Question Answering—0
Fast and High Quality Highlight Removal from A Single Image—0
A Holistic Evaluation of Piano Sound Quality—0
Fast and Robust: Task Sampling with Posterior and Diversity Synergies for Adaptive Decision-Makers in Randomized Environments—0
Active Learning for Lane Detection: A Knowledge Distillation Approach—0
Exploring the Law of Numbers: Evidence from China's Real Estate—0
Exploring the influence of fine-tuning data on wav2vec 2.0 model for blind speech quality prediction—0
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