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Search Results - "Tan, Chong Min John"
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DropNet: Reducing Neural Network Complexity via Iterative Pruning
by
Tan Chong Min
,
John
,
Motani, Mehul
Published in
arXiv.org
(14.07.2022)
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An Approach to Solving the Abstraction and Reasoning Corpus (ARC) Challenge
by
Chong Min
,
Tan John
Published in
arXiv.org
(06.06.2023)
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Learning, Fast and Slow: A Goal-Directed Memory-Based Approach for Dynamic Environments
by
Chong Min Tan
,
John
,
Motani, Mehul
Published in
arXiv.org
(01.02.2023)
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Brick Tic-Tac-Toe: Exploring the Generalizability of AlphaZero to Novel Test Environments
by
Tan Chong Min
,
John
,
Motani, Mehul
Published in
arXiv.org
(14.07.2022)
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Optimizing Learning Rate Schedules for Iterative Pruning of Deep Neural Networks
by
Liu, Shiyu
,
Ghosh, Rohan
,
Tan Chong Min
,
John
,
Motani, Mehul
Published in
arXiv.org
(31.12.2022)
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S-Cyc: A Learning Rate Schedule for Iterative Pruning of ReLU-based Networks
by
Liu, Shiyu
,
Tan
,
Chong Min John
,
Motani, Mehul
Published in
arXiv.org
(17.10.2021)
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TaskGen: A Task-Based, Memory-Infused Agentic Framework using StrictJSON
by
Chong Min Tan
,
John
,
Prince, Saroj
,
Runwal, Bharat
,
Maheshwari, Hardik
,
Brian Lim Yi Sheng
,
Cottrill, Richard
,
Chona, Alankrit
,
Kumar, Ambuj
,
Motani, Mehul
Published in
arXiv.org
(22.07.2024)
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