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Goldie, Anna
37  Ergebnisse:
Personensuche X
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1

A full-stack search technique for domain optimized deep lea..:

, In: Proceedings of the 27th ACM International Conference on Architectural Support for Programming Languages and Operating Systems,
Zhang, Dan ; Huda, Safeen ; Songhori, Ebrahim... - p. 27-42 , 2022
Link: https://dl.acm.org/doi/1..
 
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2

Scalability and Generalization of Circuit Training for Chip..:

, In: Proceedings of the 2022 International Symposium on Physical Design,
Yue, Summer ; Songhori, Ebrahim M. ; Jiang, Joe Wenjie... - p. 65-70 , 2022
Link: https://dl.acm.org/doi/1..
 
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3

RL for Placement and Partitioning:

, In: Machine Learning Applications in Electronic Design Automation,
Goldie, Anna ; Mirhoseini, Azalia - p. 205-220 , 2022
Link: https://doi.org/10.1007/..
 
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4

Author Correction: A graph placement methodology for fast c..:

Mirhoseini, Azalia ; Goldie, Anna ; Yazgan, Mustafa...
Nature.  604 (2022)  7906 - p. E24-E24 , 2022
Link: https://doi.org/10.1038/..
 
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5

Reinforcement Learning for Electronic Design Automation: Ca..:

, In: 2022 27th Asia and South Pacific Design Automation Conference (ASP-DAC),
Budak, Ahmet F. ; Jiang, Zixuan ; Zhu, Keren... - p. 500-505 , 2022
Link: https://doi.org/10.1109/..
 
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6

A graph placement methodology for fast chip design:

Mirhoseini, Azalia ; Goldie, Anna ; Yazgan, Mustafa...
Nature.  594 (2021)  7862 - p. 207-212 , 2021
Link: https://doi.org/10.1038/..
 
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7

Reinforcement Learning for Placement Optimization:

, In: Proceedings of the 2021 International Symposium on Physical Design,
Goldie, Anna ; Mirhoseini, Azalia - p. 5 ff. , 2021
Link: https://dl.acm.org/doi/1..
 
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8

Placement Optimization with Deep Reinforcement Learning:

, In: Proceedings of the 2020 International Symposium on Physical Design,
Goldie, Anna ; Mirhoseini, Azalia - p. 3-7 , 2020
Link: https://dl.acm.org/doi/1..
 
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9

RAPTOR: Recursive Abstractive Processing for Tree-Organized..:

Sarthi, Parth ; Abdullah, Salman ; Tuli, Aditi...
http://arxiv.org/abs/2401.18059.  , 2024
Link: http://arxiv.org/abs/240..
 
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10

The Capacity for Moral Self-Correction in Large Language Mo..:

Ganguli, Deep ; Askell, Amanda ; Schiefer, Nicholas...
http://arxiv.org/abs/2302.07459.  , 2023
Link: http://arxiv.org/abs/230..
 
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11

Specific versus General Principles for Constitutional AI:

Kundu, Sandipan ; Bai, Yuntao ; Kadavath, Saurav...
http://arxiv.org/abs/2310.13798.  , 2023
Link: http://arxiv.org/abs/231..
 
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12

Constitutional AI: Harmlessness from AI Feedback:

Bai, Yuntao ; Kadavath, Saurav ; Kundu, Sandipan...
http://arxiv.org/abs/2212.08073.  , 2022
Link: http://arxiv.org/abs/221..
 
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13

Measuring Progress on Scalable Oversight for Large Language..:

Bowman, Samuel R ; Hyun, Jeeyoon ; Perez, Ethan...
http://arxiv.org/abs/2211.03540.  , 2022
Link: http://arxiv.org/abs/221..
 
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14

Delving into Macro Placement with Reinforcement Learning:

Jiang, Zixuan ; Songhori, Ebrahim ; Wang, Shen...
http://arxiv.org/abs/2109.02587.  , 2021
Link: http://arxiv.org/abs/210..
 
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15

A Full-Stack Search Technique for Domain Optimized Deep Lea..:

Zhang, Dan ; Huda, Safeen ; Songhori, Ebrahim...
http://arxiv.org/abs/2105.12842.  , 2021
Link: http://arxiv.org/abs/210..
 
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