Lingjiao Chen
13 papers · 2018–2024 · 5 venues · across top CS/AI venues
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Achievements
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(2)
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Research topics
Machine Learning
(11)
Application Areas
(6)
Learning Types
(6)
Optimization & Theory Β· Machine Learning
(5)
Deep Learning
(4)
Optimization & Theory Β· Deep Learning
(4)
Artificial Intelligence
(3)
Core AI
(3)
Natural Language Processing
(2)
Computer Science
(1)
Data Science & Analytics
(1)
Applications Β· Computer Science
(1)
Applications Β· Natural Language Processing
(1)
Applications Β· Data Science & Analytics
(1)
Core Methods
(1)
Keywords
large language model
(3)
machine learning api
(3)
prediction api
(2)
distributed training
(2)
adversarial robustness
(2)
ensemble learning
(1)
domain adaptation
(1)
few-shot learning
(1)
information retrieval
(1)
model evaluation
(1)
multi-label classification
(1)
gradient aggregation
(1)
adversarial training
(1)
covariate shift
(1)
benchmark suite
(1)
distribution shift
(1)
machine learning
(1)
speech recognition
(1)
performance evaluation
(1)
semantic labeling
(1)
Papers
Are More LLM Calls All You Need? Towards the Scaling Properties of Compound AI Systems
NeurIPS 2024
Monitoring AI-Modified Content at Scale: A Case Study on the Impact of ChatGPT on AI Conference Peer Reviews
ICML 2024
DataPerf: Benchmarks for Data-Centric AI Development
NeurIPS 2023
HAPI Explorer: Comprehension, Discovery, and Explanation on History of ML APIs
AAAI 2023
Efficient Online ML API Selection for Multi-Label Classification Tasks
ICML 2022
Estimating and Explaining Model Performance When Both Covariates and Labels Shift
NeurIPS 2022
HAPI: A Large-scale Longitudinal Dataset of Commercial ML API Predictions
NeurIPS 2022
How Did the Model Change? Efficiently Assessing Machine Learning API Shifts
ICLR 2022
SEAL: Interactive Tool for Systematic Error Analysis and Labeling
EMNLP 2022
FrugalML: How to use ML Prediction APIs more accurately and cheaply
NeurIPS 2020
DRACO: Byzantine-resilient Distributed Training via Redundant Gradients
ICML 2018
Reinforcing Adversarial Robustness using Model Confidence Induced by Adversarial Training
ICML 2018
The Effect of Network Width on the Performance of Large-batch Training
NeurIPS 2018