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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 1226–1250 of 9051 papers

TitleStatusHype
PlatoLM: Teaching LLMs in Multi-Round Dialogue via a User SimulatorCode1
Generating Smooth Pose Sequences for Diverse Human Motion PredictionCode1
BuildingsBench: A Large-Scale Dataset of 900K Buildings and Benchmark for Short-Term Load ForecastingCode1
An Empirical Study On Contrastive Search And Contrastive Decoding For Open-ended Text GenerationCode1
Curriculum-guided Hindsight Experience ReplayCode1
AMPED: Adaptive Multi-objective Projection for balancing Exploration and skill DiversificationCode1
D2 Pruning: Message Passing for Balancing Diversity and Difficulty in Data PruningCode1
dacl10k: Benchmark for Semantic Bridge Damage SegmentationCode1
DALNet: A Rail Detection Network Based on Dynamic Anchor LineCode1
Beyond Trivial Counterfactual Explanations with Diverse Valuable ExplanationsCode1
An End-to-end Deep Reinforcement Learning Approach for the Long-term Short-term Planning on the Frenet SpaceCode1
An End-to-End Multi-Task Learning Model for Image-based Table RecognitionCode1
DAG: Depth-Aware Guidance with Denoising Diffusion Probabilistic ModelsCode1
A Closer Look at Machine Unlearning for Large Language ModelsCode1
Dance with You: The Diversity Controllable Dancer Generation via Diffusion ModelsCode1
Dan: Deep attention neural network for news recommendationCode1
Bias Loss for Mobile Neural NetworksCode1
DART: Articulated Hand Model with Diverse Accessories and Rich TexturesCode1
DARG: Dynamic Evaluation of Large Language Models via Adaptive Reasoning GraphCode1
Generating Highly Designable Proteins with Geometric Algebra Flow MatchingCode1
Data Augmentation Approaches in Natural Language Processing: A SurveyCode1
Generating Synthetic Clinical Data that Capture Class Imbalanced Distributions with Generative Adversarial Networks: Example using Antiretroviral Therapy for HIVCode1
3D Copy-Paste: Physically Plausible Object Insertion for Monocular 3D DetectionCode1
Learning Diverse Risk Preferences in Population-based Self-playCode1
General Virtual Sketching Framework for Vector Line ArtCode1
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