Schwarz, Jonathan Richard

11 publications

TMLR 2025 ADMIRE-BayesOpt: Accelerated Data MIxture RE-Weighting for Language Models with Bayesian Optimization Xu Ouyang, Shengzhuang Chen, Michael Arthur Leopold Pearce, Thomas Hartvigsen, Jonathan Richard Schwarz

ICLR 2025 Composable Interventions for Language Models Arinbjörn Kolbeinsson, Kyle O'Brien, Tianjin Huang, Shanghua Gao, Shiwei Liu, Jonathan Richard Schwarz, Anurag Jayant Vaidya, Faisal Mahmood, Marinka Zitnik, Tianlong Chen, Thomas Hartvigsen

ECCV 2024 Bad Students Make Great Teachers: Active Learning Accelerates Large-Scale Visual Understanding Talfan Evans, Shreya Pathak, Hamza Merzic, Jonathan Richard Schwarz, Ryutaro Tanno, Olivier Henaff

CVPR 2024 C3: High-Performance and Low-Complexity Neural Compression from a Single Image or Video Hyunjik Kim, Matthias Bauer, Lucas Theis, Jonathan Richard Schwarz, Emilien Dupont

NeurIPS 2024 CoLoR-Filter: Conditional Loss Reduction Filtering for Targeted Language Model Pre-Training David Brandfonbrener, Hanlin Zhang, Andreas Kirsch, Jonathan Richard Schwarz, Sham Kakade

ICLRW 2024 Composing Knowledge and Compression Interventions for Language Models Arinbjörn Kolbeinsson, Tianjin Huang, Shanghua Gao, Shiwei Liu, Jonathan Richard Schwarz, Anurag Jayant Vaidya, Faisal Mahmood, Marinka Zitnik, Tianlong Chen, Thomas Hartvigsen

NeurIPS 2024 Online Adaptation of Language Models with a Memory of Amortized Contexts Jihoon Tack, Jaehyung Kim, Eric Mitchell, Jinwoo Shin, Yee Whye Teh, Jonathan Richard Schwarz

ICML 2024 Unleashing the Power of Meta-Tuning for Few-Shot Generalization Through Sparse Interpolated Experts Shengzhuang Chen, Jihoon Tack, Yunqiao Yang, Yee Whye Teh, Jonathan Richard Schwarz, Ying Wei

NeurIPS 2023 Learning Large-Scale Neural Fields via Context Pruned Meta-Learning Jihoon Tack, Subin Kim, Sihyun Yu, Jaeho Lee, Jinwoo Shin, Jonathan Richard Schwarz

ICML 2023 Modality-Agnostic Variational Compression of Implicit Neural Representations Jonathan Richard Schwarz, Jihoon Tack, Yee Whye Teh, Jaeho Lee, Jinwoo Shin

NeurIPS 2023 Secure Out-of-Distribution Task Generalization with Energy-Based Models Shengzhuang Chen, Long-Kai Huang, Jonathan Richard Schwarz, Yilun Du, Ying Wei