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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 4951–5000 of 9051 papers

TitleStatusHype
Regularized Submodular Maximization at Scale—0
Regularizing Dialogue Generation by Imitating Implicit Scenarios—0
Regular Time-series Generation using SGM—0
Regurgitative Training: The Value of Real Data in Training Large Language Models—0
Reimagining Speech: A Scoping Review of Deep Learning-Powered Voice Conversion—0
Reinforced Hybrid Genetic Algorithm for the Traveling Salesman Problem—0
Reinforcement-based Display-size Selection for Frugal Satellite Image Change Detection—0
Reinforcement-based frugal learning for satellite image change detection—0
Reinforcement Learning based QoS/QoE-aware Service Function Chaining in Software-Driven 5G Slices—0
Reinforcement Learning for Sequence Design Leveraging Protein Language Models—0
Reinforcement Learning from Diffusion Feedback: Q* for Image Search—0
Reinforcement Learning with Human Feedback for Realistic Traffic Simulation—0
Reinforcing Generated Images via Meta-learning for One-Shot Fine-Grained Visual Recognition—0
Relationship-Aware Spatial Perception Fusion for Realistic Scene Layout Generation—0
Relative Variational Intrinsic Control—0
Genealogical transition in the noisy N-Branching Random Walk. How stronger selection may promote genetic diversity—0
Relay Assisted OFDM with Subcarrier Number Modulation in Multi-Hop Cooperative Networks—0
Long-horizon Embodied Planning with Implicit Logical Inference and Hallucination Mitigation—0
Relevance-guided Unsupervised Discovery of Abilities with Quality-Diversity Algorithms—0
Relevance-Promoting Language Model for Short-Text Conversation—0
Relevance Transformer: Generating Concise Code Snippets with Relevance Feedback—0
RELexED: Retrieval-Enhanced Legal Summarization with Exemplar Diversity—0
Fast and reliable uncertainty quantification with neural network ensembles for industrial image classification—0
Remembering What Is Important: A Factorised Multi-Head Retrieval and Auxiliary Memory Stabilisation Scheme for Human Motion Prediction—0
ReMix: Training Generalized Person Re-identification on a Mixture of Data—0
REMoH: A Reflective Evolution of Multi-objective Heuristics approach via Large Language Models—0
RenderBox: Expressive Performance Rendering with Text Control—0
GlyphDiffusion: Text Generation as Image Generation—0
R\'enyi entropy, abundance distribution and the equivalence of ensembles—0
RePaint-NeRF: NeRF Editting via Semantic Masks and Diffusion Models—0
repgenHMM: a dynamic programming tool to infer the rules of immune receptor generation from sequence data—0
Replica Exchange using q-Gaussian Swarm Quantum Particle Intelligence Method—0
Replicate immunosequencing as a robust probe of B cell repertoire diversity—0
Representational Ethical Model Calibration—0
Representation Heterogeneity—0
Representation Learning Beyond Linear Prediction Functions—0
Representation Online Matters: Practical End-to-End Diversification in Search and Recommender Systems—0
Representing Interlingual Meaning in Lexical Databases—0
Repulsive Attention: Rethinking Multi-head Attention as Bayesian Inference—0
Repurformer: Transformers for Repurposing-Aware Molecule Generation—0
Requirements for efficient cell-type proportioning: regulatory timescales, stochasticity and lateral inhibition—0
Requirements for Open-Ended Evolution in Natural and Artificial Systems—0
Re-ranking Based Diversification: A Unifying View—0
Re-ranking With Constraints on Diversified Exposures for Homepage Recommender System—0
ResBench: Benchmarking LLM-Generated FPGA Designs with Resource Awareness—0
Research Experience of an Undergraduate Student in Computer Vision and Robotics—0
Research on Dynamic Data Flow Anomaly Detection based on Machine Learning—0
Resolving Multi-path Interference in Time-of-Flight Imaging via Modulation Frequency Diversity and Sparse Regularization—0
Adaptive pruning-based Newton's method for distributed learning—0
Resource Allocation in 6G Optical Wireless Systems—0
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