Chong Min John Tan

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 11

Top Topics

Delta Bar Delta

Pruning Methods

Top Venues

Trans. Mach. Learn. Res.

Publications

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