Lingjiao Chen
13 papers · 2018–2024 · 5 conferences · across top CS/AI conferences
Achievements
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🌍 Conference Polyglot (5) 🐣 Hot Topic Early Bird 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🏃 Academic Marathon (6)
🐣
Hot Topic Early Bird
🌍
Conference Polyglot
(5)
🏃
Academic Marathon
(6)
👥
Mega-Team
(47)
👑
Triple Crown
🏆
Grand Slam
🗃️
Keyword Collector
(66)
⚡
Prolific Year
(5)
💎
Century Club
(13)
❓
The Questioner
(2)
Conferences
NIPS (6)
ICML (4)
AAAI (1)
EMNLP (1)
ICLR (1)
Top co-authors
Keywords
prediction api
(2)
machine learning api
(2)
large language model
(2)
adversarial robustness
(2)
ensemble learning
(1)
sentiment analysis
(1)
online learning
(1)
information retrieval
(1)
domain adaptation
(1)
multi-label classification
(1)
gradient aggregation
(1)
adversarial training
(1)
covariate shift
(1)
nearest neighbor search
(1)
distribution shift
(1)
model evaluation
(1)
machine learning
(1)
performance evaluation
(1)
sequential optimization
(1)
semantic labeling
(1)
Papers
Are More LLM Calls All You Need? Towards the Scaling Properties of Compound AI Systems
NIPS 2024
Monitoring AI-Modified Content at Scale: A Case Study on the Impact of ChatGPT on AI Conference Peer Reviews
ICML 2024
HAPI Explorer: Comprehension, Discovery, and Explanation on History of ML APIs
AAAI 2023
DataPerf: Benchmarks for Data-Centric AI Development
NIPS 2023
HAPI: A Large-scale Longitudinal Dataset of Commercial ML API Predictions
NIPS 2022
Estimating and Explaining Model Performance When Both Covariates and Labels Shift
NIPS 2022
SEAL: Interactive Tool for Systematic Error Analysis and Labeling
EMNLP 2022
How Did the Model Change? Efficiently Assessing Machine Learning API Shifts
ICLR 2022
Efficient Online ML API Selection for Multi-Label Classification Tasks
ICML 2022
FrugalML: How to use ML Prediction APIs more accurately and cheaply
NIPS 2020
DRACO: Byzantine-resilient Distributed Training via Redundant Gradients
ICML 2018
The Effect of Network Width on the Performance of Large-batch Training
NIPS 2018
Reinforcing Adversarial Robustness using Model Confidence Induced by Adversarial Training
ICML 2018