| Not all poisons are created equal: Robust training against data poisoning Y Yang, TY Liu, B Mirzasoleiman International Conference on Machine Learning, 25154-25165, 2022 | 40 | 2022 |
| Monitored distillation for positive congruent depth completion TY Liu, P Agrawal, A Chen, BW Hong, A Wong European Conference on Computer Vision, 35-53, 2022 | 37 | 2022 |
| Friendly Noise against Adversarial Noise: A Powerful Defense against Data Poisoning Attacks TY Liu, Y Yang, B Mirzasoleiman Advances in Neural Information Processing Systems 35, 11947--11959, 2022 | 23 | 2022 |
| Stereoscopic universal perturbations across different architectures and datasets Z Berger, P Agrawal, TY Liu, S Soatto, A Wong Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 17 | 2022 |
| Tangent model composition for ensembling and continual fine-tuning TY Liu, S Soatto Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 15 | 2023 |
| Train/test-time adaptation with retrieval L Zancato, A Achille, TY Liu, M Trager, P Perera, S Soatto Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 11 | 2023 |
| Meaning representations from trajectories in autoregressive models TY Liu, M Trager, A Achille, P Perera, L Zancato, S Soatto Twelfth International Conference on Learning Representations, 2024 | 10 | 2024 |
| Augundo: Scaling up augmentations for unsupervised depth completion Y Wu, TY Liu, H Park, S Soatto, D Lao, A Wong arXiv preprint arXiv:2310.09739, 2023 | 9* | 2023 |
| Taming ai bots: Controllability of neural states in large language models S Soatto, P Tabuada, P Chaudhari, TY Liu arXiv preprint arXiv:2305.18449, 2023 | 7 | 2023 |
| Data-Efficient Augmentation for Training Neural Networks TY Liu, B Mirzasoleiman Advances in Neural Information Processing Systems 35, 5124--5136, 2022 | 7 | 2022 |
| Tangent transformers for composition, privacy and removal TY Liu, A Golatkar, S Soatto Twelfth International Conference on Learning Representations, 2024 | 5 | 2024 |
| Sub-token ViT Embedding via Stochastic Resonance Transformers D Lao, Y Wu, TY Liu, A Wong, S Soatto arXiv preprint arXiv:2310.03967, 2023 | 3 | 2023 |
| Integral continual learning along the tangent vector field of tasks TY Liu, A Golatkar, S Soatto, A Achille arXiv preprint arXiv:2211.13108, 2022 | 3 | 2022 |
| Interpretable measures of conceptual similarity by complexity-constrained descriptive auto-encoding A Achille, GV Steeg, TY Liu, M Trager, C Klingenberg, S Soatto Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 2 | 2024 |
| Triplet contrastive learning for brain tumor classification TY Liu, J Feng arXiv preprint arXiv:2108.03611, 2021 | 2 | 2021 |
| Conjuring Semantic Similarity TY Liu, S Soatto arXiv preprint arXiv:2410.16431, 2024 | | 2024 |
| Meanings and Feelings of Large Language Models: Observability of Latent States in Generative AI TY Liu, S Soatto, M Marchi, P Chaudhari, P Tabuada arXiv preprint arXiv:2405.14061, 2024 | | 2024 |
| Tangent Transformers for Composition, Privacy and Removal TY Liu, A Golatkar, S Soatto Twelfth International Conference on Learning Representations, 2024 | | 2024 |
| Observability of Latent States in Generative AI Models TY Liu, S Soatto, M Marchi, P Chaudhari, P Tabuada | | |