Fan Yin | DeepAI

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∙ 06/20/2023

Should I Stop or Should I Go: Early Stopping with Heterogeneous Populations

Randomized experiments often need to be stopped prematurely due to the t...

0 Hammaad Adam, et al. ∙

∙ 06/01/2023

Did You Read the Instructions? Rethinking the Effectiveness of Task Definitions in Instruction Learning

Large language models (LLMs) have shown impressive performance in follow...

0 Fan Yin, et al. ∙

∙ 05/31/2023

Red Teaming Language Model Detectors with Language Models

The prevalence and high capacity of large language models (LLMs) present...

0 Zhouxing Shi, et al. ∙

∙ 05/23/2023

Dynosaur: A Dynamic Growth Paradigm for Instruction-Tuning Data Curation

Instruction tuning has emerged to enhance the capabilities of large lang...

0 Da Yin, et al. ∙

∙ 03/06/2023

CleanCLIP: Mitigating Data Poisoning Attacks in Multimodal Contrastive Learning

Multimodal contrastive pretraining has been used to train multimodal rep...

0 Hritik Bansal, et al. ∙

∙ 10/22/2022

ADDMU: Detection of Far-Boundary Adversarial Examples with Data and Model Uncertainty Estimation

Adversarial Examples Detection (AED) is a crucial defense technique agai...

0 Fan Yin, et al. ∙

∙ 10/26/2021

Highly Scalable Maximum Likelihood and Conjugate Bayesian Inference for ERGMs on Graph Sets with Equivalent Vertices

The exponential family random graph modeling (ERGM) framework provides a...

0 Fan Yin, et al. ∙

∙ 04/18/2021

On the Faithfulness Measurements for Model Interpretations

Recent years have witnessed the emergence of a variety of post-hoc inter...

0 Fan Yin, et al. ∙

∙ 03/15/2021

Achieve Efficient Position-Heap-based Privacy-Preserving Substring-of-Keyword Query over Cloud

The cloud computing technique, which was initially used to mitigate the ...

0 Fan Yin, et al. ∙

∙ 11/23/2020

Bayesian Nonparametric Estimation for Point Processes with Spatial Homogeneity: A Spatial Analysis of NBA Shot Locations

Basketball shot location data provide valuable summary information regar...

0 Fan Yin, et al. ∙

∙ 10/31/2020

Bayesian Analysis of Static Light Scattering Data for Globular Proteins

Static light scattering is a popular physical chemistry technique that e...

0 Fan Yin, et al. ∙

∙ 10/16/2020

Analysis of professional basketball field goal attempts via a Bayesian matrix clustering approach

We propose a Bayesian nonparametric matrix clustering approach to analyz...

0 Fan Yin, et al. ∙

∙ 05/12/2020

On the Robustness of Language Encoders against Grammatical Errors

We conduct a thorough study to diagnose the behaviors of pre-trained lan...

0 Fan Yin, et al. ∙

∙ 04/17/2020

Kernel-based Approximate Bayesian Inference for Exponential Family Random Graph Models

Bayesian inference for exponential family random graph models (ERGMs) is...

0 Fan Yin, et al. ∙

∙ 10/24/2019

Finite Mixtures of ERGMs for Ensembles of Networks

Ensembles of networks arise in many scientific fields, but currently the...

0 Fan Yin, et al. ∙

∙ 08/16/2019

Selection of Exponential-Family Random Graph Models via Held-Out Predictive Evaluation (HOPE)

Statistical models for networks with complex dependencies pose particula...

0 Fan Yin, et al. ∙

∙ 05/14/2019

Entity-Relation Extraction as Multi-Turn Question Answering

In this paper, we propose a new paradigm for the task of entity-relation...

0 Xiaoya Li, et al. ∙

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