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ORCIDAlbert Eaton Shaw
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- affiliation: Google
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2020 – today
- 2024
[c7]David Mayo, Christopher Wang, Asa Harbin, Abdulrahman Alabdulkareem, Albert E. Shaw, Boris Katz, Andrei Barbu:
BrainBits: How Much of the Brain are Generative Reconstruction Methods Using? NeurIPS 2024- [i8]David Mayo, Christopher Wang, Asa Harbin, Abdulrahman Alabdulkareem, Albert Eaton Shaw, Boris Katz, Andrei Barbu:
BrainBits: How Much of the Brain are Generative Reconstruction Methods Using? CoRR abs/2411.02783 (2024) - 2023
- [i7]Kihyuk Sohn, Albert E. Shaw, Yuan Hao, Han Zhang, Luisa Polania, Huiwen Chang, Lu Jiang, Irfan Essa:
Learning Disentangled Prompts for Compositional Image Synthesis. CoRR abs/2306.00763 (2023) - 2022
- [c6]Sehoon Kim, Amir Gholami, Albert E. Shaw, Nicholas Lee, Karttikeya Mangalam, Jitendra Malik, Michael W. Mahoney, Kurt Keutzer:
Squeezeformer: An Efficient Transformer for Automatic Speech Recognition. NeurIPS 2022 - [i6]Sehoon Kim, Amir Gholami, Albert E. Shaw, Nicholas Lee, Karttikeya Mangalam, Jitendra Malik, Michael W. Mahoney, Kurt Keutzer:
Squeezeformer: An Efficient Transformer for Automatic Speech Recognition. CoRR abs/2206.00888 (2022) - 2020
- [c5]Forrest N. Iandola, Albert E. Shaw, Ravi Krishna, Kurt Keutzer:
SqueezeBERT: What can computer vision teach NLP about efficient neural networks? SustaiNLP@EMNLP 2020: 124-135 - [i5]Forrest N. Iandola, Albert E. Shaw, Ravi Krishna, Kurt Keutzer:
SqueezeBERT: What can computer vision teach NLP about efficient neural networks? CoRR abs/2006.11316 (2020)
2010 – 2019
- 2019
- [c4]Albert E. Shaw, Daniel Hunter, Forrest Landola, Sammy Sidhu:
SqueezeNAS: Fast Neural Architecture Search for Faster Semantic Segmentation. ICCV Workshops 2019: 2014-2024 - [c3]Albert E. Shaw, Wei Wei, Weiyang Liu, Le Song, Bo Dai:
Meta Architecture Search. NeurIPS 2019: 11225-11235 - [i4]Albert E. Shaw, Daniel Hunter, Forrest N. Iandola, Sammy Sidhu:
SqueezeNAS: Fast neural architecture search for faster semantic segmentation. CoRR abs/1908.01748 (2019) - 2018
- [c2]Bo Dai, Albert E. Shaw, Niao He, Lihong Li, Le Song:
Boosting the Actor with Dual Critic. ICLR (Poster) 2018 - [c1]Bo Dai, Albert E. Shaw, Lihong Li, Lin Xiao, Niao He, Zhen Liu, Jianshu Chen, Le Song:
SBEED: Convergent Reinforcement Learning with Nonlinear Function Approximation. ICML 2018: 1133-1142 - [i3]Albert E. Shaw, Bo Dai, Weiyang Liu, Le Song:
Bayesian Meta-network Architecture Learning. CoRR abs/1812.09584 (2018) - 2017
- [i2]Bo Dai, Albert E. Shaw, Niao He, Lihong Li, Le Song:
Boosting the Actor with Dual Critic. CoRR abs/1712.10282 (2017) - [i1]Bo Dai, Albert E. Shaw, Lihong Li, Lin Xiao, Niao He, Jianshu Chen, Le Song:
Smoothed Dual Embedding Control. CoRR abs/1712.10285 (2017)
Coauthor Index
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