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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
BootTOD: Bootstrap Task-oriented Dialogue Representations by Aligning Diverse Responses—0
DivSwapper: Towards Diversified Patch-based Arbitrary Style Transfer—0
Facilitating Opinion Diversity through Hybrid NLP Approaches—0
Factor-Conditioned Speaking-Style Captioning—0
Consecutive Question Generation with Multitask Joint Reranking and Dynamic Rationale Search—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
Considerations for Ethical Speech Recognition Datasets—0
Fading Margins for Large-Scale Antenna Systems—0
FAID Diversity via Neural Networks—0
Failed Disruption Propagation in Integer Genetic Programming—0
Diversified Mutual Learning for Deep Metric Learning—0
An Inclusive Foundation Model for Generalizable Cytogenetics in Precision Oncology—0
Diversified Multiscale Graph Learning with Graph Self-Correction—0
Diversified Late Acceptance Search—0
Consistency and Diversity induced Human Motion Segmentation—0
FAIR: Fairness-Aware Information Retrieval Evaluation—0
Bootstrapping NLP tools across low-resourced African languages: an overview and prospects—0
Fairly Allocating Utility in Constrained Multiwinner Elections—0
Diversified Hidden Markov Models for Sequential Labeling—0
FairMatch: A Graph-based Approach for Improving Aggregate Diversity in Recommender Systems—0
User Fairness, Item Fairness, and Diversity for Rankings in Two-Sided Markets—0
Fairness and Diversity in Information Access Systems—0
An Improved Two-Archive Evolutionary Algorithm for Constrained Multi-Objective Optimization—0
Fairness and Diversity in the Recommendation and Ranking of Participatory Media Content—0
Consistent Multiple Sequence Decoding—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
Constrained Pseudo-market Equilibrium—0
Why Perturbing Symbolic Music is Necessary: Fitting the Distribution of Never-used Notes through a Joint Probabilistic Diffusion Model—0
GaitGCI: Generative Counterfactual Intervention for Gait Recognition—0
GameVibe: A Multimodal Affective Game Corpus—0
Garment Design with Generative Adversarial Networks—0
Diversified Ensemble of Independent Sub-Networks for Robust Self-Supervised Representation Learning—0
Boost Neural Networks by Checkpoints—0
Fantastic Style Channels and Where to Find Them: A Submodular Framework for Discovering Diverse Directions in GANs—0
Constructing Domain-Specific Evaluation Sets for LLM-as-a-judge—0
Farthest Greedy Path Sampling for Two-shot Recommender Search—0
FAS-assisted Wireless Powered Communication Systems—0
Fast ABC with joint generative modelling and subset simulation—0
Fast Adaptation in Generative Models with Generative Matching Networks—0
Construction and optimization of health behavior prediction model for the elderly in smart elderly care—0
Fast and High Quality Highlight Removal from A Single Image—0
Construction of Responsive Utterance Corpus for Attentive Listening Response Production—0
Fast and Robust: Task Sampling with Posterior and Diversity Synergies for Adaptive Decision-Makers in Randomized Environments—0
A novel multiobjective evolutionary algorithm based on decomposition and multi-reference points strategy—0
Fundamentals of Task-Agnostic Data Valuation—0
Diversidade linguística e inclusão digital: desafios para uma ia brasileira—0
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