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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

Showing 83768400 of 9051 papers

TitleStatusHype
When Does Aggregating Multiple Skills with Multi-Task Learning Work? A Case Study in Financial NLPCode0
Mitigate Replication and Copying in Diffusion Models with Generalized Caption and Dual Fusion EnhancementCode0
Unleashing the Power of Visual Prompting At the Pixel LevelCode0
Quality-Weighted Vendi Scores And Their Application To Diverse Experimental DesignCode0
Are Layout-Infused Language Models Robust to Layout Distribution Shifts? A Case Study with Scientific DocumentsCode0
From Text to Emotion: Unveiling the Emotion Annotation Capabilities of LLMsCode0
Mitigating Safety Fallback in Editing-based Backdoor Injection on LLMsCode0
Mitigating Semantic Confusion from Hostile Neighborhood for Graph Active LearningCode0
Mitigating shortage of labeled data using clustering-based active learning with diversity explorationCode0
Colorful Image ColorizationCode0
Mitigating Sybils in Federated Learning PoisoningCode0
SParC: Cross-Domain Semantic Parsing in ContextCode0
The Graph-Based Behavior-Aware Recommendation for Interactive NewsCode0
Quantifying Cognitive Factors in Lexical DeclineCode0
From structure mining to unsupervised exploration of atomic octahedral networksCode0
Mito-nuclear selection induces a trade-off between species ecological dominance and evolutionary lifespanCode0
A reinforcement learning guided hybrid evolutionary algorithm for the latency location routing problemCode0
From On-chain to Macro: Assessing the Importance of Data Source Diversity in Cryptocurrency Market ForecastingCode0
From Local to Global: Navigating Linguistic Diversity in the African ContextCode0
Barrier-Free Microhabitats: Self-Organized Seclusion in Microbial CommunitiesCode0
Quantifying syntax similarity with a polynomial representation of dependency treesCode0
Sparse and Non-Negative BSS for Noisy DataCode0
The Knowref Coreference Corpus: Removing Gender and Number Cues for Difficult Pronominal Anaphora ResolutionCode0
CollectiveSFT: Scaling Large Language Models for Chinese Medical Benchmark with Collective Instructions in HealthcareCode0
BAL: Balancing Diversity and Novelty for Active LearningCode0
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