| Direct language model alignment from online AI feedback S Guo, B Zhang, T Liu, T Liu, M Khalman, F Llinares, A Rame, T Mesnard, ... arXiv preprint arXiv:2402.04792, 2024 | 97 | 2024 |
| Continual learning for sentence representations using conceptors T Liu, L Ungar, J Sedoc NAACL 2019 1, 3274--3279, 2019 | 56 | 2019 |
| Finding trainable sparse networks through Neural Tangent Transfer T Liu, F Zenke International Conference on Machine Learning (ICML), 2020 | 40 | 2020 |
| Learning Multiscale Convolutional Dictionaries for Image Reconstruction T Liu, A Chaman, D Belius, I Dokmanić IEEE Transactions on Computational Imaging, 2022 | 35* | 2022 |
| Sparsity-Constrained Optimal Transport T Liu, J Puigcerver, M Blondel International Conference on Learning Representations (ICLR), 2023 | 32 | 2023 |
| Universal Approximation Under Constraints is Possible with Transformers A Kratsios, B Zamanlooy, T Liu, I Dokmanić International Conference on Learning Representations (ICLR), 2022 | 32 | 2022 |
| Reservoir transfer on analog neuromorphic hardware X He, T Liu, F Hadaeghi, H Jaeger International IEEE EMBS Conference on Neural Engineering (NER), 1234-1238, 2019 | 23 | 2019 |
| Unsupervised post-processing of word vectors via conceptor negation T Liu, L Ungar, J Sedoc AAAI 2019 33, 6778-6785, 2019 | 21 | 2019 |
| Predicting engagement breakdown in HRI using thin-slices of facial expressions T Liu, A Kappas Workshops at the thirty-second AAAI conference on artificial intelligence, 2018 | 19 | 2018 |
| Decoding-time Realignment of Language Models T Liu, S Guo, L Bianco, D Calandriello, Q Berthet, F Llinares, J Hoffmann, ... International Conference on Machine Learning (ICML), 2024 | 17 | 2024 |
| LLMs assist NLP researchers: Critique paper (meta-) reviewing J Du, Y Wang, W Zhao, Z Deng, S Liu, R Lou, HP Zou, PN Venkit, ... Conference on Empirical Methods in Natural Language Processing (EMNLP), 2024., 2024 | 12 | 2024 |
| Correcting the common discourse bias in linear representation of sentences using conceptors T Liu, J Sedoc, L Ungar arXiv preprint arXiv:1811.11002, 2018 | 9 | 2018 |
| Open RL Benchmark: Comprehensive Tracked Experiments for Reinforcement Learning S Huang, Q Gallouédec, F Felten, A Raffin, RFJ Dossa, Y Zhao, ... arXiv preprint arXiv:2402.03046, 2024 | 7 | 2024 |
| Causally denoise word embeddings using Half-Sibling Regression Z Yang, T Liu AAAI 2020, 2020 | 7 | 2020 |
| Routers in Vision Mixture of Experts: An Empirical Study T Liu, M Blondel, C Riquelme, J Puigcerver Transactions on Machine Learning Research (TMLR), 2024 | 4 | 2024 |
| The N Implementation Details of RLHF with PPO S Huang, T Liu, L Von Werra The Third Blogpost Track at ICLR 2024, 2024 | 3 | 2024 |
| GLIMPSE: Generalized Local Imaging with MLPs AE Khorashadizadeh, V Debarnot, T Liu, I Dokmanić arXiv preprint arXiv:2401.00816, 2024 | 3 | 2024 |
| Fast binary compressive sensing via l0 gradient descent T Liu, DG Lee arXiv preprint arXiv:1801.09937, 2018 | 3 | 2018 |
| WaveBench: Benchmarking Data-driven Solvers for Linear Wave Propagation PDEs T Liu, JAL Benitez, A Khorashadizadeh, F Faucher, MV de Hoop, ... Transactions on Machine Learning Research (TMLR), 2024 | 2 | 2024 |
| Adaptive Methods through the Lens of SDEs: Theoretical Insights on the Role of Noise EM Compagnoni, T Liu, R Islamov, FN Proske, A Orvieto, A Lucchi International Conference on Learning Representations (ICLR), 2025 | 1 | 2025 |
Mathieu BlondelGoogle在 google.com 的电子邮件经过验证