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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 6651–6700 of 9051 papers

TitleStatusHype
Low-Confidence Gold: Refining Low-Confidence Samples for Efficient Instruction Tuning—0
Low-Rank and Sparse Model Merging for Multi-Lingual Speech Recognition and Translation—0
Low-resource Machine Translation: what for? who for? An observational study on a dedicated Tetun language translation service—0
LPS@LT-EDI-ACL2022:An Ensemble Approach about Hope Speech Detection—0
LSDSCC: a Large Scale Domain-Specific Conversational Corpus for Response Generation with Diversity Oriented Evaluation Metrics—0
LSD-StructureNet: Modeling Levels of Structural Detail in 3D Part Hierarchies—0
LSTM Networks for Online Cross-Network Recommendations—0
LTP: Lane-Based Trajectory Prediction for Autonomous Driving—0
LumiCRS: Asymmetric Contrastive Prototype Learning for Long-Tail Conversational Movie Recommendation—0
Lyapunov Exponents for Diversity in Differentiable Games—0
M2BeamLLM: Multimodal Sensing-empowered mmWave Beam Prediction with Large Language Models—0
M^3AV: A Multimodal, Multigenre, and Multipurpose Audio-Visual Academic Lecture Dataset—0
M^3CS: Multi-Target Masked Point Modeling with Learnable Codebook and Siamese Decoders—0
M3ST: Mix at Three Levels for Speech Translation—0
MA4DIV: Multi-Agent Reinforcement Learning for Search Result Diversification—0
Machine Learning Algorithms for Breast Cancer Detection in Mammography Images: A Comparative Study—0
Machine Learning Information Retrieval and Summarisation to Support Systematic Review on Outcomes Based Contracting—0
Machine Learning Infused Distributed Optimization for Coordinating Virtual Power Plant Assets—0
Machine learning models for Si nanoparticle growth in nonthermal plasma—0
Machine Learning Testing in an ADAS Case Study Using Simulation-Integrated Bio-Inspired Search-Based Testing—0
Macroscopic Control of Text Generation for Image Captioning—0
MAD Speech: Measures of Acoustic Diversity of Speech—0
MAGIC: Multimodal relAtional Graph adversarIal inferenCe for Diverse and Unpaired Text-based Image Captioning—0
Maintaining Diversity Provably Helps in Evolutionary Multimodal Optimization—0
Majority Vote of Diverse Classifiers for Late Fusion—0
Makadi: A Large-Scale Human-Labeled Dataset for Hindi Semantic Parsing—0
Make a Face: Towards Arbitrary High Fidelity Face Manipulation—0
MAKED: Multi-lingual Automatic Keyword Extraction Dataset—0
Make Every Example Count: On the Stability and Utility of Self-Influence for Learning from Noisy NLP Datasets—0
Make Optimization Once and for All with Fine-grained Guidance—0
Make Templates Smarter: A Template Based Data2Text System Powered by Text Stitch Model—0
Makeup216: Logo Recognition with Adversarial Attention Representations—0
Making Curiosity Explicit in Vision-based RL—0
Making Sense of Data in the Wild: Data Analysis Automation at Scale—0
Making Use of Latent Space in Language GANs for Generating Diverse Text without Pre-training—0
MallowsPO: Fine-Tune Your LLM with Preference Dispersions—0
MAML and ANIL Provably Learn Representations—0
Managing Diversity in Airbnb Search—0
Manifold Diffusion Fields—0
Manifold for Machine Learning Assurance—0
Unbiased Image Synthesis via Manifold Guidance in Diffusion Models—0
Manifold Interpolation for Large-Scale Multi-Objective Optimization via Generative Adversarial Networks—0
Manifold Precis: An Annealing Technique for Diverse Sampling of Manifolds—0
ManiFoundation Model for General-Purpose Robotic Manipulation of Contact Synthesis with Arbitrary Objects and Robots—0
Manipulate-Anything: Automating Real-World Robots using Vision-Language Models—0
Attentive Semantic Exploring for Manipulated Face Detection—0
MANTA -- Model Adapter Native generations that's Affordable—0
Many Field Packet Classification with Decomposition and Reinforcement Learning—0
Many-Objective Estimation of Distribution Optimization Algorithm Based on WGAN-GP—0
Many-Task Federated Fine-Tuning via Unified Task Vectors—0
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