AutoWS-Bench-101: Benchmarking Automated Weak Supervision with 100 Labels N Roberts, X Li, TH Huang, D Adila, S Schoenberg, CY Liu, L Pick, H Ma, ... Advances in Neural Information Processing Systems 36, 8912-8925, 2022 | 7 | 2022 |
Geometry-Aware Adaptation for Pretrained Models N Roberts, X Li, D Adila, S Cromp, TH Huang, J Zhao, F Sala Advances in Neural Information Processing Systems 37, 49628-49658, 2024 | 5 | 2024 |
ScriptoriumWS: A Code Generation Assistant For Weak Supervision TH Huang, C Cao, S Schoenberg, H Vishwakarma, N Roberts, F Sala ICLR Deep Learning for Code Workshop, 2023 | 5 | 2023 |
The ALCHEmist: Automated Labeling 500x CHEaper Than LLM Data Annotators TH Huang, C Cao, V Bhargava, F Sala Advances in Neural Information Processing Systems 38, 2024 | 4 | 2024 |
Toward Data-centric Automl N Roberts, S Schoenberg, TH Huang, D Adila, C Shin, J Li, S Cromp, ... Competition, Poster, 2023 | 3 | 2023 |
Multimodal Data Curation via Object Detection and Filter Ensembles TH Huang, C Shin, SJ Tay, D Adila, F Sala ICCV Towards the Next Generation of Computer Vision Datasets Workshop, https …, 2023 | 2 | 2023 |
MoRe Fine-Tuning with 10x Fewer Parameters W Tan, N Roberts, TH Huang, J Zhao, J Cooper, S Guo, C Duan, F Sala ICML 2024 Workshop on Foundation Models in the Wild; ICML 2024 Workshop on …, 2024 | 1 | 2024 |
Train 'n Trade: Foundations of Parameter Markets TH Huang, H Vishwakarma, F Sala Advances in Neural Information Processing Systems 37, 2023 | 1 | 2023 |
Evaluating Sample Utility for Data Selection by Mimicking Model Weights TH Huang, M Bilkhu, F Sala, J Movellan https://arxiv.org/abs/2501.06708, 2025 | | 2025 |
Key Sensor Discovery for Quality Audit of Air Sensor Networks TH Huang, CH Tsai, MK Shan Proceedings of the 18th International Conference on Mobile Systems …, 2020 | | 2020 |