Brian Lester

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 23

Top Topics

Learning Models

Compressed Text

Natural Language Understanding

Maximum Entropy Classifier

Top Venues

NAACL-HLT (Industry Papers)

Publications

Brian Lester, Jaehoon Lee, Alex Alemi, Jeffrey Pennington, Adam Roberts, Jascha Sohl-Dickstein, Noah Constant
Training LLMs over Neurally Compressed Text. CoRR (2024)
Nikhil Kandpal, Brian Lester, Mohammed Muqeeth, Anisha Mascarenhas, Monty Evans, Vishal Baskaran, Tenghao Huang, Haokun Liu, Colin Raffel
Git-Theta: A Git Extension for Collaborative Development of Machine Learning Models. CoRR (2023)
Denielle Ricciardi, Tom Seidl, Brian Lester, Amanda Jones, Elizabeth Jones
Bayesian Optimal Experimental Design for Constitutive Model Calibration. CoRR (2023)
Nikhil Kandpal, Brian Lester, Mohammed Muqeeth, Anisha Mascarenhas, Monty Evans, Vishal Baskaran, Tenghao Huang, Haokun Liu, Colin Raffel
Git-Theta: A Git Extension for Collaborative Development of Machine Learning Models. ICML (2023)
Tu Vu, Aditya Barua, Brian Lester, Daniel Cer, Mohit Iyyer, Noah Constant
Overcoming Catastrophic Forgetting in Zero-Shot Cross-Lingual Generation. CoRR (2022)
Adam Roberts, Hyung Won Chung, Anselm Levskaya, Gaurav Mishra, James Bradbury, Daniel Andor, Sharan Narang, Brian Lester, Colin Gaffney, Afroz Mohiuddin, Curtis Hawthorne, Aitor Lewkowycz, Alex Salcianu, Marc van Zee, Jacob Austin, Sebastian Goodman, Livio Baldini Soares, Haitang Hu, Sasha Tsvyashchenko, Aakanksha Chowdhery, Jasmijn Bastings, Jannis Bulian, Xavier Garcia, Jianmo Ni, Andrew Chen, Kathleen Kenealy, Jonathan H. Clark, Stephan Lee, Dan Garrette, James Lee-Thorp, Colin Raffel, Noam Shazeer, Marvin Ritter, Maarten Bosma, Alexandre Passos, Jeremy Maitin-Shepard, Noah Fiedel, Mark Omernick, Brennan Saeta, Ryan Sepassi, Alexander Spiridonov, Joshua Newlan, Andrea Gesmundo
Scaling Up Models and Data with t5x and seqio. CoRR (2022)
Tu Vu, Brian Lester, Noah Constant, Rami Al-Rfou', Daniel Cer
SPoT: Better Frozen Model Adaptation through Soft Prompt Transfer. ACL (1) (2022)
Tu Vu, Aditya Barua, Brian Lester, Daniel Cer, Mohit Iyyer, Noah Constant
Overcoming Catastrophic Forgetting in Zero-Shot Cross-Lingual Generation. EMNLP (2022)
Jason Wei, Maarten Bosma, Vincent Y. Zhao, Kelvin Guu, Adams Wei Yu, Brian Lester, Nan Du, Andrew M. Dai, Quoc V. Le
Finetuned Language Models are Zero-Shot Learners. ICLR (2022)
Brian Lester, Joshua Yurtsever, Siamak Shakeri, Noah Constant
Reducing Retraining by Recycling Parameter-Efficient Prompts. CoRR (2022)
Tu Vu, Brian Lester, Noah Constant, Rami Al-Rfou, Daniel Cer
SPoT: Better Frozen Model Adaptation through Soft Prompt Transfer. CoRR (2021)
Jason Wei, Maarten Bosma, Vincent Y. Zhao, Kelvin Guu, Adams Wei Yu, Brian Lester, Nan Du, Andrew M. Dai, Quoc V. Le
Finetuned Language Models Are Zero-Shot Learners. CoRR (2021)
Brian Lester, Rami Al-Rfou, Noah Constant
The Power of Scale for Parameter-Efficient Prompt Tuning. CoRR (2021)
Brian Lester, Sagnik Ray Choudhury, Rashmi Prasad, Srinivas Bangalore
Intent Features for Rich Natural Language Understanding. NAACL-HLT (Industry Papers) (2021)
Brian Lester, Sagnik Ray Choudhury, Rashmi Prasad, Srinivas Bangalore
Intent Features for Rich Natural Language Understanding. CoRR (2021)
Brian Lester, Rami Al-Rfou, Noah Constant
The Power of Scale for Parameter-Efficient Prompt Tuning. EMNLP (1) (2021)
Brian Lester
Leader: Prefixing a Length for Faster Word Vector Serialization. CoRR (2020)
Brian Lester, Daniel Pressel, Amy Hemmeter, Sagnik Ray Choudhury, Srinivas Bangalore
Constrained Decoding for Computationally Efficient Named Entity Recognition Taggers. EMNLP (Findings) (2020)
Brian Lester, Daniel Pressel, Amy Hemmeter, Sagnik Ray Choudhury, Srinivas Bangalore
Constrained Decoding for Computationally Efficient Named Entity Recognition Taggers. CoRR (2020)
Brian Lester, Daniel Pressel, Amy Hemmeter, Sagnik Ray Choudhury, Srinivas Bangalore
Multiple Word Embeddings for Increased Diversity of Representation. CoRR (2020)
Brian Lester
iobes: A Library for Span-Level Processing. CoRR (2020)
Ishan Jindal, Daniel Pressel, Brian Lester, Matthew S. Nokleby
An Effective Label Noise Model for DNN Text Classification. NAACL-HLT (1) (2019)
Ishan Jindal, Daniel Pressel, Brian Lester, Matthew S. Nokleby
An Effective Label Noise Model for DNN Text Classification. CoRR (2019)