Byung-gon Chun
13 papers · 2010–2023 · 7 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
Jump to papers ↓+7 more ↓ Show less ↑
πΊοΈ Taxonomy Completionist (27) π Academic Marathon Β· Half π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
π
Keyword Champion
π§
Keyword Pioneer
π
Trend Setter
π₯
Unstoppable Β· Bronze
π
Conference Pioneer
π
Century Club Β· Bronze
ποΈ
Keyword Collector
(61)
Top co-authors
Research topics
Machine Learning
(9)
Artificial Intelligence
(6)
Deep Learning
(6)
Application Areas
(5)
Core AI
(5)
Optimization & Theory
(5)
Techniques
(4)
Computer Science
(3)
Learning Paradigms
(3)
Learning Types
(3)
Natural Language Processing
(2)
Applications
(2)
Resources & Methods
(2)
Data Science & Analytics
(1)
Architectures
(1)
Keywords
deep learning framework
(3)
in-context learning
(2)
large language model
(2)
imperative programming
(2)
autoregressive generation
(1)
neural architecture search
(1)
feature selection
(1)
training optimization
(1)
prompt engineering
(1)
deep learning training
(1)
sparse regression
(1)
model interpretability
(1)
distributed training
(1)
sparse polynomial regression
(1)
program performance
(1)
execution time prediction
(1)
performance modeling
(1)
program analysis
(1)
polynomial regression
(1)
context regularization
(1)
Papers
BPipe: Memory-Balanced Pipeline Parallelism for Training Large Language Models
ICML 2023
Meta-Learning of Prompt Generation for Lightweight Prompt Engineering on Language-Model-as-a-Service
EMNLP 2023
Two Examples are Better than One: Context Regularization for Gradient-based Prompt Tuning
ACL 2023
Orca: A Distributed Serving System for Transformer-Based Generative Models
OSDI 2022
SUMNAS: Supernet with Unbiased Meta-Features for Neural Architecture Search
ICLR 2022
Finding Consensus Bugs in Ethereum via Multi-transaction Differential Fuzzing
OSDI 2021
Terra: Imperative-Symbolic Co-Execution of Imperative Deep Learning Programs
NeurIPS 2021
Nimble: Lightweight and Parallel GPU Task Scheduling for Deep Learning
NeurIPS 2020
JANUS: Fast and Flexible Deep Learning via Symbolic Graph Execution of Imperative Programs
NSDI 2019
PRETZEL: Opening the Black Box of Machine Learning Prediction Serving Systems
OSDI 2018
Making Sense of Performance in Data Analytics Frameworks
NSDI 2015
MegaPipe: A New Programming Interface for Scalable Network I/O
OSDI 2012
Predicting Execution Time of Computer Programs Using Sparse Polynomial Regression
NeurIPS 2010