Chong Min John Tan

According to our database, Chong Min John Tan authored at least 8 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

TaskGen: A Task-Based, Memory-Infused Agentic Framework using StrictJSON.

Chong Min John Tan, Prince Saroj, Bharat Runwal, Hardik Maheshwari, Brian Lim Yi Sheng, Richard Cottrill, Alankrit Chona, Ambuj Kumar, Mehul Motani

CoRR, 2024

2023

Optimizing Learning Rate Schedules for Iterative Pruning of Deep Neural Networks.

Shiyu Liu, Rohan Ghosh, Chong Min John Tan, Mehul Motani

Trans. Mach. Learn. Res., 2023

Large Language Model (LLM) as a System of Multiple Expert Agents: An Approach to solve the Abstraction and Reasoning Corpus (ARC) Challenge.

Chong Min John Tan, Mehul Motani

CoRR, 2023

An Approach to Solving the Abstraction and Reasoning Corpus (ARC) Challenge.

Chong Min John Tan

CoRR, 2023

Learning, Fast and Slow: A Goal-Directed Memory-Based Approach for Dynamic Environments.

Chong Min John Tan, Mehul Motani

Proceedings of the IEEE International Conference on Development and Learning, 2023

2022

Brick Tic-Tac-Toe: Exploring the Generalizability of AlphaZero to Novel Test Environments.

Chong Min John Tan, Mehul Motani

CoRR, 2022

2021

S-Cyc: A Learning Rate Schedule for Iterative Pruning of ReLU-based Networks.

Shiyu Liu, Chong Min John Tan, Mehul Motani

CoRR, 2021

2020

DropNet: Reducing Neural Network Complexity via Iterative Pruning.

Chong Min John Tan, Mehul Motani

Proceedings of the 37th International Conference on Machine Learning, 2020