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Horace He
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2020 – today
- 2024
- [c8]Jason Ansel, Edward Z. Yang, Horace He, Natalia Gimelshein, Animesh Jain, Michael Voznesensky, Bin Bao, Peter Bell
, David Berard, Evgeni Burovski
PyTorch 2: Faster Machine Learning Through Dynamic Python Bytecode Transformation and Graph Compilation. ASPLOS (2) 2024: 929-947 - 2023
- [c7]Horace He, Shangdi Yu:
Transcending Runtime-Memory Tradeoffs in Checkpointing by being Fusion Aware. MLSys 2023 - 2022
- [c6]James K. Reed, Zachary DeVito, Horace He, Ansley Ussery, Jason Ansel:
torch.fx: Practical Program Capture and Transformation for Deep Learning in Python. MLSys 2022 - [i11]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:
GPT-NeoX-20B: An Open-Source Autoregressive Language Model. CoRR abs/2204.06745 (2022) - 2021
- [c5]Qian Huang, Horace He, Abhay Singh, Ser-Nam Lim, Austin R. Benson:
Combining Label Propagation and Simple Models out-performs Graph Neural Networks. ICLR 2021 - [c4]Benoit Steiner, Chris Cummins, Horace He, Hugh Leather:
Value Learning for Throughput Optimization of Deep Learning Workloads. MLSys 2021 - [c3]Dan Hendrycks, Steven Basart, Saurav Kadavath, Mantas Mazeika, Akul Arora, Ethan Guo, Collin Burns, Samir Puranik, Horace He, Dawn Song, Jacob Steinhardt:
Measuring Coding Challenge Competence With APPS. NeurIPS Datasets and Benchmarks 2021 - [i10]Leo Gao
The Pile: An 800GB Dataset of Diverse Text for Language Modeling. CoRR abs/2101.00027 (2021) - [i9]Dan Hendrycks, Steven Basart, Saurav Kadavath, Mantas Mazeika, Akul Arora, Ethan Guo, Collin Burns, Samir Puranik, Horace He, Dawn Song, Jacob Steinhardt:
Measuring Coding Challenge Competence With APPS. CoRR abs/2105.09938 (2021) - [i8]Abhay Singh, Qian Huang, Sijia Linda Huang, Omkar Bhalerao, Horace He, Ser-Nam Lim, Austin R. Benson:
Edge Proposal Sets for Link Prediction. CoRR abs/2106.15810 (2021) - [i7]James K. Reed, Zachary DeVito, Horace He, Ansley Ussery, Jason Ansel:
torch.fx: Practical Program Capture and Transformation for Deep Learning in Python. CoRR abs/2112.08429 (2021) - 2020
- [j1]Dietrich Geisler, Irene Yoon, Aditi Kabra, Horace He, Yinnon Sanders, Adrian Sampson
Geometry types for graphics programming. Proc. ACM Program. Lang. 4(OOPSLA): 173:1-173:25 (2020) - [c2]Qian Huang, Horace He, Abhay Singh, Yan Zhang, Ser-Nam Lim, Austin R. Benson:
Better Set Representations For Relational Reasoning. NeurIPS 2020 - [i6]Qian Huang, Horace He, Abhay Singh, Yan Zhang, Ser-Nam Lim, Austin R. Benson:
Set-Structured Latent Representations. CoRR abs/2003.04448 (2020) - [i5]Qian Huang, Horace He, Abhay Singh, Ser-Nam Lim, Austin R. Benson:
Combining Label Propagation and Simple Models Out-performs Graph Neural Networks. CoRR abs/2010.13993 (2020) - [i4]Benoit Steiner, Chris Cummins, Horace He, Hugh Leather:
Value Function Based Performance Optimization of Deep Learning Workloads. CoRR abs/2011.14486 (2020)
2010 – 2019
- 2019
- [c1]Qian Huang, Isay Katsman
Enhancing Adversarial Example Transferability With an Intermediate Level Attack. ICCV 2019: 4732-4741 - [i3]Qian Huang, Isay Katsman, Horace He, Zeqi Gu, Serge J. Belongie, Ser-Nam Lim:
Enhancing Adversarial Example Transferability with an Intermediate Level Attack. CoRR abs/1907.10823 (2019) - 2018
- [i2]Qian Huang, Zeqi Gu, Isay Katsman, Horace He, Pian Pawakapan, Zhiqiu Lin, Serge J. Belongie, Ser-Nam Lim:
Intermediate Level Adversarial Attack for Enhanced Transferability. CoRR abs/1811.08458 (2018) - [i1]Horace He, Aaron Lou, Qingxuan Jiang, Isay Katsman, Pian Pawakapan, Serge J. Belongie, Ser-Nam Lim:
Adversarial Example Decomposition. CoRR abs/1812.01198 (2018)
Coauthor Index
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