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)

Adversarial Example Decomposition. - Horace He; Aaron Lou; Qingxuan Jiang; Isay Katsman; Pian Pawakapan; Serge J. Belongie; Ser-Nam Lim (CoRR, 2018)

Enhancing Adversarial Example Transferability With an Intermediate Level Attack. - Qian Huang; Isay Katsman; Zeqi Gu; Horace He; Serge J. Belongie; Ser-Nam Lim (ICCV, 2019)

Better Set Representations For Relational Reasoning. - Qian Huang; Horace He; Abhay Singh; Yan Zhang; Ser-Nam Lim; Austin R. Benson (NeurIPS, 2020)

Set-Structured Latent Representations. - Qian Huang; Horace He; Abhay Singh; Yan Zhang; Ser-Nam Lim; Austin R. Benson (CoRR, 2020)

Value Function Based Performance Optimization of Deep Learning Workloads. - Benoit Steiner; Chris Cummins; Horace He; Hugh Leather (CoRR, 2020)

Geometry types for graphics programming. - Dietrich Geisler; Irene Yoon 001; Aditi Kabra; Horace He; Yinnon Sanders; Adrian Sampson (Proc. ACM Program. Lang., 2020)

Combining Label Propagation and Simple Models out-performs Graph Neural Networks. - Qian Huang; Horace He; Abhay Singh; Ser-Nam Lim; Austin R. Benson (ICLR, 2021)

Value Learning for Throughput Optimization of Deep Learning Workloads. - Benoit Steiner; Chris Cummins; Horace He; Hugh Leather (MLSys, 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 (NeurIPS Datasets and Benchmarks, 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)

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)

torch.fx: Practical Program Capture and Transformation for Deep Learning in Python. - James K. Reed; Zachary DeVito; Horace He; Ansley Ussery; Jason Ansel (MLSys, 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; et al. (CoRR, 2022)

Transcending Runtime-Memory Tradeoffs in Checkpointing by being Fusion Aware. - Horace He; Shangdi Yu (MLSys, 2023)

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 008; David Berard; Evgeni Burovski; Geeta Chauhan; Anjali Chourdia; et al. (ASPLOS (2), 2024)

Flex Attention: A Programming Model for Generating Optimized Attention Kernels. - Juechu Dong; Boyuan Feng; Driss Guessous; Yanbo Liang; Horace He (CoRR, 2024)