Brian Lester
11 papers · 2018–2023 · 6 conferences · across top CS/AI conferences
Achievements
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π Interdisciplinary Bridge π Academic Marathon (5) π Conference Polyglot (6) π Renaissance Researcher (5) πΊοΈ Taxonomy Completionist (31)
π§
Keyword Pioneer
π£
Hot Topic Early Bird
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Renaissance Researcher
(5)
π₯
Mega-Team
(45)
π§¬
Topic Evolution
π₯
Unstoppable
(6)
π
Century Club
(11)
Conferences
EMNLP (4)
ACL (2)
NAACL (2)
ICLR (1)
ICML (1)
JMLR (1)
Top co-authors
Keywords
prompt tuning
(3)
soft prompt
(2)
text classification
(2)
sequence labeling
(2)
neural network
(2)
named entity recognition
(2)
natural language processing
(1)
deep learning
(1)
catastrophic forgetting
(1)
natural language understanding
(1)
model scaling
(1)
distributed computing
(1)
token classification
(1)
label noise
(1)
transfer learning
(1)
transition constraint
(1)
noisy label
(1)
in-context learning
(1)
language model
(1)
convolutional neural network
(1)
Papers
Scaling Up Models and Data with t5x and seqio
JMLR 2023
Git-Theta: A Git Extension for Collaborative Development of Machine Learning Models
ICML 2023
Overcoming Catastrophic Forgetting in Zero-Shot Cross-Lingual Generation
EMNLP 2022
Finetuned Language Models are Zero-Shot Learners
ICLR 2022
SPoT: Better Frozen Model Adaptation through Soft Prompt Transfer
ACL 2022
Intent Features for Rich Natural Language Understanding
NAACL 2021
The Power of Scale for Parameter-Efficient Prompt Tuning
EMNLP 2021
iobes: Library for Span Level Processing
EMNLP 2020
Constrained Decoding for Computationally Efficient Named Entity Recognition Taggers
EMNLP 2020
An Effective Label Noise Model for DNN Text Classification
NAACL 2019
Baseline: A Library for Rapid Modeling, Experimentation and Development of Deep Learning Algorithms targeting NLP
ACL 2018