Sicong Huang

18 papers A* 3Journal 11Unranked 4
YearRankTypeTitle / Venue / Authors
2025 J jnl
HypoBench: Towards Systematic and Principled Benchmarking for Hypothesis Generation.
CoRR
Haokun Liu, Sicong Huang, Jingyu Hu, Yangqiaoyu Zhou, Chenhao Tan
2024 — conf
Exploring Student Motivation in Integration of Soft Skills Training within Three Levels of Computer Science Programs.
SIGCSE (1)
En-Shiun Annie Lee, Luki Danukarjanto, Sadia Sharmin, Shou-Yi Hung, Sicong Huang, Tong Su
2024 J jnl
Rethinking Test-time Likelihood: The Likelihood Path Principle and Its Application to OOD Detection.
CoRR
Sicong Huang, Jiawei He, Kry Yik Chau Lui
2023 A* conf
Efficient Parametric Approximations of Neural Network Function Space Distance.
ICML
Nikita Dhawan, Sicong Huang, Juhan Bae, Roger Baker Grosse
2023 J jnl
Efficient Parametric Approximations of Neural Network Function Space Distance.
CoRR
Nikita Dhawan, Sicong Huang, Juhan Bae, Roger B. Grosse
2023 — conf
Impact of Undergraduate Research Workshops on Sense of Belonging and Self-Efficacy based on Gender and Race.
Koli Calling
Sadia Sharmin, Sicong Huang, Robert Soden
2023 J jnl
Improving Mutual Information Estimation with Annealed and Energy-Based Bounds.
CoRR
Rob Brekelmans, Sicong Huang, Marzyeh Ghassemi, Greg Ver Steeg, Roger B. Grosse, Alireza Makhzani
2023 J jnl
Inverse Scaling: When Bigger Isn't Better.
CoRR
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
2023 J jnl
Inverse Scaling: When Bigger Isn't Better.
Trans. Mach. Learn. Res.
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
2022 J jnl
ED-FAITH: Evaluating Dialogue Summarization on Faithfulness.
CoRR
Sicong Huang, Asli Celikyilmaz, Haoran Li
2022 A* conf
Improving Mutual Information Estimation with Annealed and Energy-Based Bounds.
ICLR
Rob Brekelmans, Sicong Huang, Marzyeh Ghassemi, Greg Ver Steeg, Roger Baker Grosse, Alireza Makhzani
2020 A* conf
Evaluating Lossy Compression Rates of Deep Generative Models.
ICML
Sicong Huang, Alireza Makhzani, Yanshuai Cao, Roger B. Grosse
2020 J jnl
Evaluating Lossy Compression Rates of Deep Generative Models.
CoRR
Sicong Huang, Alireza Makhzani, Yanshuai Cao, Roger B. Grosse
2019 J jnl
RL: Generic reinforcement learning codebase in TensorFlow.
J. Open Source Softw.
Bryan M. Li, Alexander I. Cowen-Rivers, Piotr Kozakowski, David Tao, Siddhartha Kamalakara, Nitarshan Rajkumar, Hariharan Sezhiyan, Sicong Huang, Aidan N. Gomez
2019 — conf
TimbreTron: A WaveNet(CycleGAN(CQT(Audio))) Pipeline for Musical Timbre Transfer.
ICLR (Poster)
Sicong Huang, Qiyang Li, Cem Anil, Xuchan Bao, Sageev Oore, Roger B. Grosse
2018 J jnl
TimbreTron: A WaveNet(CycleGAN(CQT(Audio))) Pipeline for Musical Timbre Transfer.
CoRR
Sicong Huang, Qiyang Li, Cem Anil, Xuchan Bao, Sageev Oore, Roger B. Grosse
2018 — conf
Unsupervised Cipher Cracking Using Discrete GANs.
ICLR (Poster)
Aidan N. Gomez, Sicong Huang, Ivan Zhang, Bryan M. Li, Muhammad Osama, Lukasz Kaiser
2018 J jnl
Unsupervised Cipher Cracking Using Discrete GANs.
CoRR
Aidan N. Gomez, Sicong Huang, Ivan Zhang, Bryan M. Li, Muhammad Osama, Lukasz Kaiser