Chong Min John Tan

12 papers A* 1Journal 9Unranked 2
YearRankTypeTitle / Venue / Authors
2024 — conf
LLMs as a System of Multiple Expert Agents: An Approach to Solve the Abstraction and Reasoning Corpus (ARC) Challenge.
CAI
Chong Min John Tan, Mehul Motani
2024 J jnl
TaskGen: A Task-Based, Memory-Infused Agentic Framework using StrictJSON.
CoRR
Chong Min John Tan, Prince Saroj, Bharat Runwal, Hardik Maheshwari, Brian Lim Yi Sheng, Richard Cottrill, Alankrit Chona, Ambuj Kumar, Mehul Motani
2023 J jnl
An Approach to Solving the Abstraction and Reasoning Corpus (ARC) Challenge.
CoRR
Chong Min John Tan
2023 J jnl
Large Language Model (LLM) as a System of Multiple Expert Agents: An Approach to solve the Abstraction and Reasoning Corpus (ARC) Challenge.
CoRR
Chong Min John Tan, Mehul Motani
2023 — conf
Learning, Fast and Slow: A Goal-Directed Memory-Based Approach for Dynamic Environments.
ICDL
Chong Min John Tan, Mehul Motani
2023 J jnl
Learning, Fast and Slow: A Goal-Directed Memory-Based Approach for Dynamic Environments.
CoRR
Chong Min John Tan, Mehul Motani
2023 J jnl
Optimizing Learning Rate Schedules for Iterative Pruning of Deep Neural Networks.
Trans. Mach. Learn. Res.
Shiyu Liu, Rohan Ghosh, Chong Min John Tan, Mehul Motani
2022 J jnl
Brick Tic-Tac-Toe: Exploring the Generalizability of AlphaZero to Novel Test Environments.
CoRR
Chong Min John Tan, Mehul Motani
2022 J jnl
DropNet: Reducing Neural Network Complexity via Iterative Pruning.
CoRR
Chong Min John Tan, Mehul Motani
2022 J jnl
Optimizing Learning Rate Schedules for Iterative Pruning of Deep Neural Networks.
CoRR
Shiyu Liu, Rohan Ghosh, Chong Min John Tan, Mehul Motani
2021 J jnl
S-Cyc: A Learning Rate Schedule for Iterative Pruning of ReLU-based Networks.
CoRR
Shiyu Liu, Chong Min John Tan, Mehul Motani
2020 A* conf
DropNet: Reducing Neural Network Complexity via Iterative Pruning.
ICML
Chong Min John Tan, Mehul Motani