Sicong Huang

According to our database, Sicong Huang authored at least 11 papers between 2018 and 2024.

Collaborative distances:

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

2024

Rethinking Test-time Likelihood: The Likelihood Path Principle and Its Application to OOD Detection.

Sicong Huang, Jiawei He, Kry Yik Chau Lui

CoRR, 2024

Exploring Student Motivation in Integration of Soft Skills Training within Three Levels of Computer Science Programs.

En-Shiun Annie Lee, Luki Danukarjanto, Sadia Sharmin, Shou-Yi Hung, Sicong Huang, Tong Su

Proceedings of the 55th ACM Technical Symposium on Computer Science Education, 2024

2023

Inverse Scaling: When Bigger Isn't Better.

Ian R. McKenzie, Alexander Lyzhov, Michael Pieler, Alicia Parrish, Aaron Mueller, Ameya Prabhu, Euan McLean, Aaron Kirtland, Alexis Ross, Alisa Liu, Andrew Gritsevskiy, Daniel Wurgaft, Derik Kauffman, Gabriel Recchia, Jiacheng Liu, Joe Cavanagh, Max Weiss, Sicong Huang, The Floating Droid, Tom Tseng, Tomasz Korbak, Xudong Shen, Yuhui Zhang, Zhengping Zhou, Najoung Kim, Samuel R. Bowman, Ethan Perez

CoRR, 2023

Impact of Undergraduate Research Workshops on Sense of Belonging and Self-Efficacy based on Gender and Race.

Sadia Sharmin, Sicong Huang, Robert Soden

Proceedings of the 23rd Koli Calling International Conference on Computing Education Research, 2023

Efficient Parametric Approximations of Neural Network Function Space Distance.

Nikita Dhawan, Sicong Huang, Juhan Bae, Roger Baker Grosse

Proceedings of the International Conference on Machine Learning, 2023

2022

ED-FAITH: Evaluating Dialogue Summarization on Faithfulness.

Sicong Huang, Asli Celikyilmaz, Haoran Li

CoRR, 2022

Improving Mutual Information Estimation with Annealed and Energy-Based Bounds.

Rob Brekelmans, Sicong Huang, Marzyeh Ghassemi, Greg Ver Steeg, Roger Baker Grosse, Alireza Makhzani

Proceedings of the Tenth International Conference on Learning Representations, 2022

2020

Evaluating Lossy Compression Rates of Deep Generative Models.

Sicong Huang, Alireza Makhzani, Yanshuai Cao, Roger B. Grosse

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

2019

RL: Generic reinforcement learning codebase in TensorFlow.

Bryan M. Li, Alexander I. Cowen-Rivers, Piotr Kozakowski, David Tao, Siddhartha Kamalakara, Nitarshan Rajkumar, Hariharan Sezhiyan, Sicong Huang, Aidan N. Gomez

J. Open Source Softw., 2019

TimbreTron: A WaveNet(CycleGAN(CQT(Audio))) Pipeline for Musical Timbre Transfer.

Sicong Huang, Qiyang Li, Cem Anil, Xuchan Bao, Sageev Oore, Roger B. Grosse

Proceedings of the 7th International Conference on Learning Representations, 2019

2018

Unsupervised Cipher Cracking Using Discrete GANs.

Aidan N. Gomez, Sicong Huang, Ivan Zhang, Bryan M. Li, Muhammad Osama, Lukasz Kaiser

Proceedings of the 6th International Conference on Learning Representations, 2018