Yifeng Lu
10 papers · 2018–2024 · 5 conferences · across top CS/AI conferences
Achievements
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🧭 Keyword Pioneer 🌍 Conference Polyglot (5) 🏃 Academic Marathon (6) 🐝 Cross-Pollinator (5) 🌈 Renaissance Researcher (5)
🏃
Academic Marathon
(6)
🐝
Cross-Pollinator
(5)
🌈
Renaissance Researcher
(5)
💎
Century Club
(10)
🗃️
Keyword Collector
(60)
📈
Trend Setter
Conferences
NIPS (6)
CVPR (1)
EMNLP (1)
ICLR (1)
ICML (1)
Top co-authors
Keywords
neural architecture search
(3)
automated machine learning
(2)
reinforcement learning
(2)
hyperparameter optimization
(1)
autonomous driving
(1)
fact verification
(1)
transfer learning
(1)
prompt engineering
(1)
factuality evaluation
(1)
language model evaluation
(1)
neural architecture
(1)
multi-modal learning
(1)
in-context learning
(1)
efficient computing
(1)
neural network training
(1)
instruction tuning
(1)
3d object detection
(1)
distributionally robust optimization
(1)
optimization algorithm
(1)
image classification
(1)
Papers
Large Language Models as Optimizers
ICLR 2024
Long-form factuality in large language models
NIPS 2024
DoReMi: Optimizing Data Mixtures Speeds Up Language Model Pretraining
NIPS 2023
Brainformers: Trading Simplicity for Efficiency
ICML 2023
Symbolic Discovery of Optimization Algorithms
NIPS 2023
Symbol tuning improves in-context learning in language models
EMNLP 2023
DeepFusion: Lidar-Camera Deep Fusion for Multi-Modal 3D Object Detection
CVPR 2022
TabNAS: Rejection Sampling for Neural Architecture Search on Tabular Datasets
NIPS 2022
PyGlove: Symbolic Programming for Automated Machine Learning
NIPS 2020
Transfer Learning with Neural AutoML
NIPS 2018