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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 1651–1700 of 9051 papers

TitleStatusHype
D2RLIR : an improved and diversified ranking function in interactive recommendation systems based on deep reinforcement learning—0
D3: Diversity, Difficulty, and Dependability-Aware Data Selection for Sample-Efficient LLM Instruction Tuning—0
DAAI at CASE 2021 Task 1: Transformer-based Multilingual Socio-political and Crisis Event Detection—0
Augmented Message Passing Stein Variational Gradient Descent—0
Align Your Rhythm: Generating Highly Aligned Dance Poses with Gating-Enhanced Rhythm-Aware Feature Representation—0
Augmented Data Science: Towards Industrialization and Democratization of Data Science—0
Augmented Conditioning Is Enough For Effective Training Image Generation—0
Dialog State Tracking with Reinforced Data Augmentation—0
Augment, Drop & Swap: Improving Diversity in LLM Captions for Efficient Music-Text Representation Learning—0
Augmentation with Projection: Towards an Effective and Efficient Data Augmentation Paradigm for Distillation—0
Adaptability of non-genetic diversity in bacterial chemotaxis—0
Augmentations vs Algorithms: What Works in Self-Supervised Learning—0
From Intent Discovery to Recognition with Topic Modeling and Synthetic Data—0
AugDiff: Diffusion based Feature Augmentation for Multiple Instance Learning in Whole Slide Image—0
Aug2Search: Enhancing Facebook Marketplace Search with LLM-Generated Synthetic Data Augmentation—0
Auditing Source Diversity Bias in Video Search Results Using Virtual Agents—0
Auditing Google's Search Algorithm: Measuring News Diversity Across Brazil, the UK, and the US—0
Aligning Instruction Tuning with Pre-training—0
ADAGE: Active Defenses Against GNN Extraction—0
Auditing and Robustifying COVID-19 Misinformation Datasets via Anticontent Sampling—0
A Categorized Reflection Removal Dataset with Diverse Real-world Scenes—0
Audio-Visual Segmentation via Unlabeled Frame Exploitation—0
AudioTurbo: Fast Text-to-Audio Generation with Rectified Diffusion—0
ChordSync: Conformer-Based Alignment of Chord Annotations to Music Audio—0
D2AF: A Dual-Driven Annotation and Filtering Framework for Visual Grounding—0
Audio-to-Score Conversion Model Based on Whisper methodology—0
Audio-to-Image Cross-Modal Generation—0
Alibaba Submission to the WMT20 Parallel Corpus Filtering Task—0
Audio Generation with Multiple Conditional Diffusion Model—0
A Two-stage Evolutionary Framework For Multi-objective Optimization—0
Alibaba Submission to the WMT18 Parallel Corpus Filtering Task—0
A DAFT Based Unified Waveform Design Framework for High-Mobility Communications—0
A two-stage algorithm in evolutionary product unit neural networks for classification—0
A Two-Layer Local Constrained Sparse Coding Method for Fine-Grained Visual Categorization—0
An Algorithm for Multi-Attribute Diverse Matching—0
A Tutorial On Intersectionality in Fair Rankings—0
Attribution for Enhanced Explanation with Transferable Adversarial eXploration—0
Algorithmic Scenario Generation as Quality Diversity Optimization—0
A Case Study of User Communication Styles with Customer Service Agents versus Intelligent Virtual Agents—0
D^2-City: A Large-Scale Dashcam Video Dataset of Diverse Traffic Scenarios—0
DACSR: Decoupled-Aggregated End-to-End Calibrated Sequential Recommendation—0
Attributes Grouping and Mining Hashing for Fine-Grained Image Retrieval—0
Attribute-guided Feature Extraction and Augmentation Robust Learning for Vehicle Re-identification—0
Algorithmic Hiring and Diversity: Reducing Human-Algorithm Similarity for Better Outcomes—0
AdaFlow: Opportunistic Inference on Asynchronous Mobile Data with Generalized Affinity Control—0
Cycle3D: High-quality and Consistent Image-to-3D Generation via Generation-Reconstruction Cycle—0
Algorithmically probable mutations reproduce aspects of evolution such as convergence rate, genetic memory, and modularity—0
Customizing an Adversarial Example Generator with Class-Conditional GANs—0
Attribute analysis with synthetic dataset for person re-identification—0
A Learning Scheme for Microgrid Islanding and Reconnection—0
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