Holt, James

16 publications

ECML-PKDD 2025 Optimizing the Optimal Weighted Average: Efficient Distributed Sparse Classification Fred Lu, Ryan R. Curtin, Edward Raff, Francis Ferraro, James Holt

NeurIPS 2024 A Walsh Hadamard Derived Linear Vector Symbolic Architecture Mohammad Mahmudul Alam, Alexander Oberle, Edward Raff, Stella Biderman, Tim Oates, James Holt

NeurIPSW 2024 A Walsh Hadamard Derived Linear Vector Symbolic Architecture Mohammad Mahmudul Alam, Alexander Oberle, Edward Raff, Stella Biderman, Tim Oates, James Holt

NeurIPS 2024 Assemblage: Automatic Binary Dataset Construction for Machine Learning Chang Liu, Rebecca Saul, Yihao Sun, Edward Raff, Maya Fuchs, Townsend Southard Pantano, James Holt, Kristopher Micinski

AISTATS 2024 Holographic Global Convolutional Networks for Long-Range Prediction Tasks in Malware Detection Mohammad Mahmudul Alam, Edward Raff, Stella R Biderman, Tim Oates, James Holt

NeurIPS 2024 Is Function Similarity Over-Engineered? Building a Benchmark Rebecca Saul, Chang Liu, Noah Fleischmann, Richard Zak, Kristopher Micinski, Edward Raff, James Holt

NeurIPS 2024 Stabilizing Linear Passive-Aggressive Online Learning with Weighted Reservoir Sampling Skyler Wu, Fred Lu, Edward Raff, James Holt

AAAI 2023 A Coreset Learning Reality Check Fred Lu, Edward Raff, James Holt

ECML-PKDD 2023 Marvolo: Programmatic Data Augmentation for Deep Malware Detection Mike Wong, Edward Raff, James Holt, Ravi Netravali

ICML 2023 Recasting Self-Attention with Holographic Reduced Representations Mohammad Mahmudul Alam, Edward Raff, Stella Biderman, Tim Oates, James Holt

NeurIPS 2023 Reproducibility in Multiple Instance Learning: A Case for Algorithmic Unit Tests Edward Raff, James Holt

ICML 2022 Deploying Convolutional Networks on Untrusted Platforms Using 2D Holographic Reduced Representations Mohammad Mahmudul Alam, Edward Raff, Tim Oates, James Holt

NeurIPSW 2022 Exploring the Sharpened Cosine Similarity Skyler Wu, Fred Lu, Edward Raff, James Holt

NeurIPSW 2022 Lempel-Ziv Networks Rebecca Saul, Mohammad Mahmudul Alam, John Hurwitz, Edward Raff, Tim Oates, James Holt

AAAI 2022 Out of Distribution Data Detection Using Dropout Bayesian Neural Networks André T. Nguyen, Fred Lu, Gary Lopez Munoz, Edward Raff, Charles Nicholas, James Holt

NeurIPS 2021 Learning with Holographic Reduced Representations Ashwinkumar Ganesan, Hang Gao, Sunil Gandhi, Edward Raff, Tim Oates, James Holt, Mark McLean