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2020 – today
- 2024
[c14]Alessandro Achille, Greg Ver Steeg, Tian Yu Liu, Matthew Trager, Carson Klingenberg, Stefano Soatto:
Interpretable Measures of Conceptual Similarity by Complexity-Constrained Descriptive Auto-Encoding. CVPR 2024: 11062-11071- [c13]Tian Yu Liu, Aditya Golatkar, Stefano Soatto:
Tangent Transformers for Composition, Privacy and Removal. ICLR 2024 - [c12]Tian Yu Liu, Matthew Trager, Alessandro Achille, Pramuditha Perera, Luca Zancato, Stefano Soatto:
Meaning Representations from Trajectories in Autoregressive Models. ICLR 2024 - [c11]Dong Lao, Yangchao Wu, Tian Yu Liu, Alex Wong, Stefano Soatto:
Sub-token ViT Embedding via Stochastic Resonance Transformers. ICML 2024 - [i17]Alessandro Achille, Greg Ver Steeg, Tian Yu Liu, Matthew Trager, Carson Klingenberg, Stefano Soatto:
Interpretable Measures of Conceptual Similarity by Complexity-Constrained Descriptive Auto-Encoding. CoRR abs/2402.08919 (2024) - [i16]Tian Yu Liu, Stefano Soatto, Matteo Marchi, Pratik Chaudhari, Paulo Tabuada:
Meanings and Feelings of Large Language Models: Observability of Latent States in Generative AI. CoRR abs/2405.14061 (2024) - 2023
- [c10]Luca Zancato, Alessandro Achille, Tian Yu Liu, Matthew Trager, Pramuditha Perera, Stefano Soatto:
Train/Test-Time Adaptation with Retrieval. CVPR 2023: 15911-15921 - [c9]Tian Yu Liu, Stefano Soatto:
Tangent Model Composition for Ensembling and Continual Fine-tuning. ICCV 2023: 18630-18640 - [i15]Luca Zancato, Alessandro Achille, Tian Yu Liu, Matthew Trager, Pramuditha Perera, Stefano Soatto:
Train/Test-Time Adaptation with Retrieval. CoRR abs/2303.14333 (2023) - [i14]Stefano Soatto, Paulo Tabuada, Pratik Chaudhari, Tian Yu Liu:
Taming AI Bots: Controllability of Neural States in Large Language Models. CoRR abs/2305.18449 (2023) - [i13]Tian Yu Liu, Stefano Soatto:
Tangent Model Composition for Ensembling and Continual Fine-tuning. CoRR abs/2307.08114 (2023) - [i12]Tian Yu Liu, Aditya Golatkar, Stefano Soatto:
Tangent Transformers for Composition, Privacy and Removal. CoRR abs/2307.08122 (2023) - [i11]Dong Lao
, Yangchao Wu, Tian Yu Liu, Alex Wong, Stefano Soatto:
Sub-token ViT Embedding via Stochastic Resonance Transformers. CoRR abs/2310.03967 (2023) - [i10]Yangchao Wu, Tian Yu Liu, Hyoungseob Park, Stefano Soatto, Dong Lao, Alex Wong:
AugUndo: Scaling Up Augmentations for Unsupervised Depth Completion. CoRR abs/2310.09739 (2023) - [i9]Tian Yu Liu, Matthew Trager, Alessandro Achille, Pramuditha Perera, Luca Zancato, Stefano Soatto:
Meaning Representations from Trajectories in Autoregressive Models. CoRR abs/2310.18348 (2023) - 2022
- [c8]Zachary Berger, Parth Agrawal, Tian Yu Liu, Stefano Soatto, Alex Wong:
Stereoscopic Universal Perturbations across Different Architectures and Datasets. CVPR 2022: 15159-15169 - [c7]Tian Yu Liu, Parth Agrawal, Allison Chen, Byung-Woo Hong, Alex Wong:
Monitored Distillation for Positive Congruent Depth Completion. ECCV (2) 2022: 35-53 - [c6]Yu Yang, Tian Yu Liu, Baharan Mirzasoleiman:
Not All Poisons are Created Equal: Robust Training against Data Poisoning. ICML 2022: 25154-25165 - [c5]Tian Yu Liu, Baharan Mirzasoleiman:
Data-Efficient Augmentation for Training Neural Networks. NeurIPS 2022 - [c4]Tian Yu Liu, Yu Yang, Baharan Mirzasoleiman:
Friendly Noise against Adversarial Noise: A Powerful Defense against Data Poisoning Attack. NeurIPS 2022 - [i8]Tian Yu Liu, Parth Agrawal, Allison Chen, Byung-Woo Hong, Alex Wong:
Monitored Distillation for Positive Congruent Depth Completion. CoRR abs/2203.16034 (2022) - [i7]Tian Yu Liu, Yu Yang, Baharan Mirzasoleiman:
Friendly Noise against Adversarial Noise: A Powerful Defense against Data Poisoning Attacks. CoRR abs/2208.10224 (2022) - [i6]Tian Yu Liu, Baharan Mirzasoleiman:
Data-Efficient Augmentation for Training Neural Networks. CoRR abs/2210.08363 (2022) - [i5]Yu Yang, Tian Yu Liu, Baharan Mirzasoleiman:
Not All Poisons are Created Equal: Robust Training against Data Poisoning. CoRR abs/2210.09671 (2022) - [i4]Tian Yu Liu, Aditya Golatkar, Stefano Soatto, Alessandro Achille:
Integral Continual Learning Along the Tangent Vector Field of Tasks. CoRR abs/2211.13108 (2022) - 2021
- [i3]Tian Yu Liu, Jiashi Feng:
Triplet Contrastive Learning for Brain Tumor Classification. CoRR abs/2108.03611 (2021) - [i2]Zachary Berger, Parth Agrawal, Tian Yu Liu, Stefano Soatto, Alex Wong:
Stereoscopic Universal Perturbations across Different Architectures and Datasets. CoRR abs/2112.06116 (2021)
2010 – 2019
- 2012
- [c3]Debadeepta Dey, Tian Yu Liu, Boris Sofman, James Andrew Bagnell:
Efficient Optimization of Control Libraries. AAAI 2012: 1983-1989 - [c2]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:
An integrated system for autonomous robotics manipulation. IROS 2012: 2955-2962 - [c1]Debadeepta Dey, Tian Yu Liu, Martial Hebert, J. Andrew Bagnell:
Contextual Sequence Prediction with Application to Control Library Optimization. Robotics: Science and Systems 2012 - [i1]Debadeepta Dey, Tian Yu Liu, Martial Hebert, J. Andrew Bagnell:
Predicting Contextual Sequences via Submodular Function Maximization. CoRR abs/1202.2112 (2012)
Coauthor Index
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last updated on 2024-10-04 20:56 CEST by the dblp team
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