Horace He

According to our database, Horace He authored at least 15 papers between 2018 and 2024.

Collaborative distances:

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

2024

PyTorch 2: Faster Machine Learning Through Dynamic Python Bytecode Transformation and Graph Compilation.

Jason Ansel, Edward Z. Yang, Horace He, Natalia Gimelshein, Animesh Jain, Michael Voznesensky, Bin Bao, Peter Bell, David Berard, Evgeni Burovski, Geeta Chauhan, Anjali Chourdia, Will Constable, Alban Desmaison, Zachary DeVito, Elias Ellison, Will Feng, Jiong Gong, Michael Gschwind, Brian Hirsh, Sherlock Huang, Kshiteej Kalambarkar, Laurent Kirsch, Michael Lazos, Mario Lezcano, Yanbo Liang, Jason Liang, Yinghai Lu, C. K. Luk, Bert Maher, Yunjie Pan, Christian Puhrsch, Matthias Reso, Mark Saroufim, Marcos Yukio Siraichi, Helen Suk, Shunting Zhang, Michael Suo, Phil Tillet, Xu Zhao, Eikan Wang, Keren Zhou, Richard Zou, Xiaodong Wang, Ajit Mathews, William Wen, Gregory Chanan, Peng Wu, Soumith Chintala

Proceedings of the 29th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2024

2022

GPT-NeoX-20B: An Open-Source Autoregressive Language Model.

Sid Black, Stella Biderman, Eric Hallahan, Quentin Anthony, Leo Gao, Laurence Golding, Horace He, Connor Leahy, Kyle McDonell, Jason Phang, Michael Pieler, USVSN Sai Prashanth, Shivanshu Purohit, Laria Reynolds, Jonathan Tow, Ben Wang, Samuel Weinbach

CoRR, 2022

torch.fx: Practical Program Capture and Transformation for Deep Learning in Python.

James K. Reed, Zachary DeVito, Horace He, Ansley Ussery, Jason Ansel

Proceedings of Machine Learning and Systems 2022, 2022

2021

Edge Proposal Sets for Link Prediction.

Abhay Singh, Qian Huang, Sijia Linda Huang, Omkar Bhalerao, Horace He, Ser-Nam Lim, Austin R. Benson

CoRR, 2021

The Pile: An 800GB Dataset of Diverse Text for Language Modeling.

Leo Gao, Stella Biderman, Sid Black, Laurence Golding, Travis Hoppe, Charles Foster, Jason Phang, Horace He, Anish Thite, Noa Nabeshima, Shawn Presser, Connor Leahy

CoRR, 2021

Measuring Coding Challenge Competence With APPS.

Dan Hendrycks, Steven Basart, Saurav Kadavath, Mantas Mazeika, Akul Arora, Ethan Guo, Collin Burns, Samir Puranik, Horace He, Dawn Song, Jacob Steinhardt

Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

Value Learning for Throughput Optimization of Deep Learning Workloads.

Benoit Steiner, Chris Cummins, Horace He, Hugh Leather

Proceedings of Machine Learning and Systems 2021, 2021

Combining Label Propagation and Simple Models out-performs Graph Neural Networks.

Qian Huang, Horace He, Abhay Singh, Ser-Nam Lim, Austin R. Benson

Proceedings of the 9th International Conference on Learning Representations, 2021

2020

Geometry types for graphics programming.

Dietrich Geisler, Irene Yoon, Aditi Kabra, Horace He, Yinnon Sanders, Adrian Sampson

Proc. ACM Program. Lang., 2020

Value Function Based Performance Optimization of Deep Learning Workloads.

Benoit Steiner, Chris Cummins, Horace He, Hugh Leather

CoRR, 2020

Set-Structured Latent Representations.

Qian Huang, Horace He, Abhay Singh, Yan Zhang, Ser-Nam Lim, Austin R. Benson

CoRR, 2020

Better Set Representations For Relational Reasoning.

Qian Huang, Horace He, Abhay Singh, Yan Zhang, Ser-Nam Lim, Austin R. Benson

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019

Enhancing Adversarial Example Transferability With an Intermediate Level Attack.

Qian Huang, Isay Katsman, Zeqi Gu, Horace He, Serge J. Belongie, Ser-Nam Lim

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

2018

Adversarial Example Decomposition.

Horace He, Aaron Lou, Qingxuan Jiang, Isay Katsman, Pian Pawakapan, Serge J. Belongie, Ser-Nam Lim

CoRR, 2018

Intermediate Level Adversarial Attack for Enhanced Transferability.

Qian Huang, Zeqi Gu, Isay Katsman, Horace He, Pian Pawakapan, Zhiqiu Lin, Serge J. Belongie, Ser-Nam Lim

CoRR, 2018