| Studying Large Language Model Generalization with Influence Functions R Grosse, J Bae, C Anil, N Elhage, A Tamkin, A Tajdini, B Steiner, D Li, ... arXiv preprint arXiv:2308.03296, 2023 | 63 | 2023 |
| If influence functions are the answer, then what is the question? J Bae, N Ng, A Lo, M Ghassemi, RB Grosse Advances in Neural Information Processing Systems 35, 17953-17967, 2022 | 63 | 2022 |
| Delta-STN: Efficient Bilevel Optimization for Neural Networks using Structured Response Jacobians J Bae, RB Grosse Advances in Neural Information Processing Systems 33, 21725-21737, 2020 | 30 | 2020 |
| Analyzing Monotonic Linear Interpolation in Neural Network Loss Landscapes J Lucas, J Bae, MR Zhang, S Fort, R Zemel, R Grosse Neural Information Processing Systems (Optimization for Machine Learning …, 2021 | 25 | 2021 |
| Eigenvalue Corrected Noisy Natural Gradient J Bae, G Zhang, R Grosse Neural Information Processing Systems (Bayesian Deep Learning Workshop), 2018 | 23 | 2018 |
| Using Large Language Models for Hyperparameter Optimization MR Zhang, N Desai, J Bae, J Lorraine, J Ba Neural Information Processing Systems (Foundation Models for Decision Making …, 2023 | 14 | 2023 |
| Learnable Pooling Methods for Video Classification S Kmiec, J Bae, R An Proceedings of the European Conference on Computer Vision (ECCV), 2018 | 14 | 2018 |
| Amortized Proximal Optimization J Bae, P Vicol, JZ HaoChen, RB Grosse Advances in Neural Information Processing Systems 35, 8982-8997, 2022 | 12 | 2022 |
| Multi-Rate VAE: Train Once, Get the Full Rate-Distortion Curve J Bae, MR Zhang, M Ruan, E Wang, S Hasegawa, J Ba, R Grosse International Conference on Learning Representations 11, 2022 | 11 | 2022 |
| Benchmarking Neural Network Training Algorithms GE Dahl, F Schneider, Z Nado, N Agarwal, CS Sastry, P Hennig, ... arXiv preprint arXiv:2306.07179, 2023 | 10 | 2023 |
| On Monotonic Linear Interpolation of Neural Network Parameters JR Lucas, J Bae, MR Zhang, S Fort, R Zemel, RB Grosse International Conference on Machine Learning, 7168-7179, 2021 | 10 | 2021 |
| Efficient Parametric Approximations of Neural Network Function Space Distance N Dhawan, S Huang, J Bae, RB Grosse International Conference on Machine Learning, 7795-7812, 2023 | 4 | 2023 |
| Can we remove the square-root in adaptive gradient methods? a second-order perspective W Lin, F Dangel, R Eschenhagen, J Bae, RE Turner, A Makhzani arXiv preprint arXiv:2402.03496, 2024 | 2 | 2024 |
| CSC 311: Introduction to Machine Learning R Grosse, C Maddison, J Bae, S Pitis University of Toronto, Fall, 2020 | 2 | 2020 |
| Fast 6DoF Pose Estimation with Synthetic Textureless CAD Model for Mobile Applications B Chen, J Bae, D Mukherjee 2019 IEEE International Conference on Image Processing (ICIP), 2541-2545, 2019 | 2 | 2019 |
| What is Your Data Worth to GPT? LLM-Scale Data Valuation with Influence Functions SK Choe, H Ahn, J Bae, K Zhao, M Kang, Y Chung, A Pratapa, ... arXiv preprint arXiv:2405.13954, 2024 | 1 | 2024 |
| Training Data Attribution via Approximate Unrolled Differentiation J Bae, W Lin, J Lorraine, R Grosse arXiv preprint arXiv:2405.12186, 2024 | 1 | 2024 |
| Methods and Systems for Training an Object Detection Algorithm using Synthetic Images D Mukherjee, BW Chen, BAE Juhan US Patent 11,107,241, 2021 | | 2021 |
