Tian Yu Liu

According to our database, Tian Yu Liu authored at least 23 papers between 2012 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Conjuring Semantic Similarity.

Tian Yu Liu, Stefano Soatto

CoRR, 2024

Meanings and Feelings of Large Language Models: Observability of Latent States in Generative AI.

Tian Yu Liu, Stefano Soatto, Matteo Marchi, Pratik Chaudhari, Paulo Tabuada

CoRR, 2024

Sub-token ViT Embedding via Stochastic Resonance Transformers.

Dong Lao, Yangchao Wu, Tian Yu Liu, Alex Wong, Stefano Soatto

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Meaning Representations from Trajectories in Autoregressive Models.

Tian Yu Liu, Matthew Trager, Alessandro Achille, Pramuditha Perera, Luca Zancato, Stefano Soatto

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Tangent Transformers for Composition, Privacy and Removal.

Tian Yu Liu, Aditya Golatkar, Stefano Soatto

Proceedings of the Twelfth International Conference on Learning Representations, 2024

AugUndo: Scaling Up Augmentations for Monocular Depth Completion and Estimation.

Yangchao Wu, Tian Yu Liu, Hyoungseob Park, Stefano Soatto, Dong Lao, Alex Wong

Proceedings of the Computer Vision - ECCV 2024, 2024

Interpretable Measures of Conceptual Similarity by Complexity-Constrained Descriptive Auto-Encoding.

Alessandro Achille, Greg Ver Steeg, Tian Yu Liu, Matthew Trager, Carson Klingenberg, Stefano Soatto

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

AugUndo: Scaling Up Augmentations for Unsupervised Depth Completion.

Yangchao Wu, Tian Yu Liu, Hyoungseob Park, Stefano Soatto, Dong Lao, Alex Wong

CoRR, 2023

Taming AI Bots: Controllability of Neural States in Large Language Models.

Stefano Soatto, Paulo Tabuada, Pratik Chaudhari, Tian Yu Liu

CoRR, 2023

Tangent Model Composition for Ensembling and Continual Fine-tuning.

Tian Yu Liu, Stefano Soatto

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Train/Test-Time Adaptation with Retrieval.

Luca Zancato, Alessandro Achille, Tian Yu Liu, Matthew Trager, Pramuditha Perera, Stefano Soatto

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Integral Continual Learning Along the Tangent Vector Field of Tasks.

Tian Yu Liu, Aditya Golatkar, Stefano Soatto, Alessandro Achille

CoRR, 2022

Friendly Noise against Adversarial Noise: A Powerful Defense against Data Poisoning Attacks.

Tian Yu Liu, Yu Yang, Baharan Mirzasoleiman

CoRR, 2022

Friendly Noise against Adversarial Noise: A Powerful Defense against Data Poisoning Attack.

Tian Yu Liu, Yu Yang, Baharan Mirzasoleiman

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Data-Efficient Augmentation for Training Neural Networks.

Tian Yu Liu, Baharan Mirzasoleiman

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Not All Poisons are Created Equal: Robust Training against Data Poisoning.

Yu Yang, Tian Yu Liu, Baharan Mirzasoleiman

Proceedings of the International Conference on Machine Learning, 2022

Monitored Distillation for Positive Congruent Depth Completion.

Tian Yu Liu, Parth Agrawal, Allison Chen, Byung-Woo Hong, Alex Wong

Proceedings of the Computer Vision - ECCV 2022, 2022

Stereoscopic Universal Perturbations across Different Architectures and Datasets.

Zachary Berger, Parth Agrawal, Tian Yu Liu, Stefano Soatto, Alex Wong

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Triplet Contrastive Learning for Brain Tumor Classification.

Tian Yu Liu, Jiashi Feng

CoRR, 2021

2012

Predicting Contextual Sequences via Submodular Function Maximization

Debadeepta Dey, Tian Yu Liu, Martial Hebert, J. Andrew Bagnell

CoRR, 2012

Contextual Sequence Prediction with Application to Control Library Optimization.

Debadeepta Dey, Tian Yu Liu, Martial Hebert, J. Andrew Bagnell

Proceedings of the Robotics: Science and Systems VIII, 2012

An integrated system for autonomous robotics manipulation.

J. Andrew Bagnell, Felipe Cavalcanti, Lei Cui, Thomas Galluzzo, Martial Hebert, Moslem Kazemi, Matthew Klingensmith, Jacqueline Libby, Tian Yu Liu, Nancy S. Pollard, Mihail Pivtoraiko, Jean-Sebastien Valois, Ranqi Zhu

Proceedings of the 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2012

Efficient Optimization of Control Libraries.

Debadeepta Dey, Tian Yu Liu, Boris Sofman, James Andrew Bagnell

Proceedings of the Twenty-Sixth AAAI Conference on Artificial Intelligence, 2012