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ORCIDStefano Soatto
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- affiliation: University of California, Los Angeles, USA
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2020 – today
- 2023
[c238]Siqi Deng, Yuanjun Xiong, Meng Wang, Wei Xia, Stefano Soatto:
Harnessing Unrecognizable Faces for Improving Face Recognition. WACV 2023: 3413-3422- [i129]Benjamin Bowman, Alessandro Achille, Luca Zancato, Matthew Trager, Pramuditha Perera, Giovanni Paolini, Stefano Soatto:
À-la-carte Prompt Tuning (APT): Combining Distinct Data Via Composable Prompting. CoRR abs/2302.07994 (2023) - [i128]Matthew Trager, Pramuditha Perera, Luca Zancato, Alessandro Achille, Parminder Bhatia, Bing Xiang, Stefano Soatto:
Linear Spaces of Meanings: the Compositional Language of VLMs. CoRR abs/2302.14383 (2023) - [i127]Achin Jain, Gurumurthy Swaminathan, Paolo Favaro, Hao Yang, Avinash Ravichandran, Hrayr Harutyunyan, Alessandro Achille, Onkar Dabeer, Bernt Schiele, Ashwin Swaminathan, Stefano Soatto:
A Meta-Learning Approach to Predicting Performance and Data Requirements. CoRR abs/2303.01598 (2023) - [i126]Yonatan Dukler, Alessandro Achille, Hao Yang, Varsha Vivek, Luca Zancato, Benjamin Bowman, Avinash Ravichandran, Charless C. Fowlkes, Ashwin Swaminathan, Stefano Soatto:
Introspective Cross-Attention Probing for Lightweight Transfer of Pre-trained Models. CoRR abs/2303.04105 (2023) - 2022
- [j65]Kensuke Nakamura, Stefano Soatto, Byung-Woo Hong:
Stochastic batch size for adaptive regularization in deep network optimization. Pattern Recognit. 129: 108776 (2022) - [c237]Matthew Wallingford, Hao Li, Alessandro Achille, Avinash Ravichandran, Charless C. Fowlkes, Rahul Bhotika, Stefano Soatto:
Task Adaptive Parameter Sharing for Multi-Task Learning. CVPR 2022: 7551-7560 - [c236]Jiarui Cai, Mingze Xu, Wei Li, Yuanjun Xiong, Wei Xia, Zhuowen Tu, Stefano Soatto:
MeMOT: Multi-Object Tracking with Memory. CVPR 2022: 8080-8090 - [c235]Aditya Golatkar, Alessandro Achille, Yu-Xiang Wang, Aaron Roth, Michael Kearns, Stefano Soatto:
Mixed Differential Privacy in Computer Vision. CVPR 2022: 8366-8376 - [c234]Pei Wang, Zhaowei Cai, Hao Yang, Gurumurthy Swaminathan, Nuno Vasconcelos, Bernt Schiele, Stefano Soatto:
Omni-DETR: Omni-Supervised Object Detection with Transformers. CVPR 2022: 9357-9366 - [c233]Tz-Ying Wu, Gurumurthy Swaminathan, Zhizhong Li, Avinash Ravichandran, Nuno Vasconcelos, Rahul Bhotika, Stefano Soatto:
Class-Incremental Learning with Strong Pre-trained Models. CVPR 2022: 9591-9600 - [c232]Zachary Berger, Parth Agrawal, Tian Yu Liu, Stefano Soatto, Alex Wong:
Stereoscopic Universal Perturbations across Different Architectures and Datasets. CVPR 2022: 15159-15169 - [c231]Zhaowei Cai
, Gukyeong Kwon, Avinash Ravichandran, Erhan Bas, Zhuowen Tu, Rahul Bhotika, Stefano Soatto:
X-DETR: A Versatile Architecture for Instance-wise Vision-Language Tasks. ECCV (36) 2022: 290-308 - [c230]Yunhao Ba, Howard Zhang, Ethan Yang, Akira Suzuki, Arnold Pfahnl, Chethan Chinder Chandrappa, Celso M. de Melo, Suya You, Stefano Soatto, Alex Wong, Achuta Kadambi:
Not Just Streaks: Towards Ground Truth for Single Image Deraining. ECCV (7) 2022: 723-740 - [c229]Yonatan Dukler, Alessandro Achille, Giovanni Paolini, Avinash Ravichandran, Marzia Polito, Stefano Soatto:
DIVA: Dataset Derivative of a Learning Task. ICLR 2022 - [i125]Pengkai Zhu, Zhaowei Cai, Yuanjun Xiong, Zhuowen Tu, Luis Goncalves, Vijay Mahadevan, Stefano Soatto:
Contrastive Neighborhood Alignment. CoRR abs/2201.01922 (2022) - [i124]Luca Zancato, Alessandro Achille, Giovanni Paolini, Alessandro Chiuso, Stefano Soatto:
Stacked Residuals of Dynamic Layers for Time Series Anomaly Detection. CoRR abs/2202.12457 (2022) - [i123]Aditya Golatkar, Alessandro Achille, Yu-Xiang Wang, Aaron Roth, Michael Kearns, Stefano Soatto:
Mixed Differential Privacy in Computer Vision. CoRR abs/2203.11481 (2022) - [i122]Dong Lao, Alex Wong, Stefano Soatto:
Does Monocular Depth Estimation Provide Better Pre-training than Classification for Semantic Segmentation? CoRR abs/2203.13987 (2022) - [i121]Pei Wang, Zhaowei Cai, Hao Yang, Gurumurthy Swaminathan, Nuno Vasconcelos, Bernt Schiele, Stefano Soatto:
Omni-DETR: Omni-Supervised Object Detection with Transformers. CoRR abs/2203.16089 (2022) - [i120]Simone Bombari, Alessandro Achille, Zijian Wang, Yu-Xiang Wang, Yusheng Xie, Kunwar Yashraj Singh, Srikar Appalaraju, Vijay Mahadevan, Stefano Soatto:
Towards Differential Relational Privacy and its use in Question Answering. CoRR abs/2203.16701 (2022) - [i119]Matthew Wallingford, Hao Li, Alessandro Achille, Avinash Ravichandran, Charless C. Fowlkes, Rahul Bhotika, Stefano Soatto:
Task Adaptive Parameter Sharing for Multi-Task Learning. CoRR abs/2203.16708 (2022) - [i118]Jiarui Cai, Mingze Xu, Wei Li, Yuanjun Xiong, Wei Xia, Zhuowen Tu, Stefano Soatto:
MeMOT: Multi-Object Tracking with Memory. CoRR abs/2203.16761 (2022) - [i117]Tz-Ying Wu, Gurumurthy Swaminathan, Zhizhong Li, Avinash Ravichandran, Nuno Vasconcelos, Rahul Bhotika, Stefano Soatto:
Class-Incremental Learning with Strong Pre-trained Models. CoRR abs/2204.03634 (2022) - [i116]Zhaowei Cai, Gukyeong Kwon, Avinash Ravichandran, Erhan Bas, Zhuowen Tu, Rahul Bhotika, Stefano Soatto:
X-DETR: A Versatile Architecture for Instance-wise Vision-Language Tasks. CoRR abs/2204.05626 (2022) - [i115]Shay Deutsch, Stefano Soatto:
Graph Spectral Embedding using the Geodesic Betweeness Centrality. CoRR abs/2205.03544 (2022) - [i114]Yue Zhao, Yantao Shen, Yuanjun Xiong, Shuo Yang, Wei Xia, Zhuowen Tu, Bernt Schiele, Stefano Soatto:
ELODI: Ensemble Logit Difference Inhibition for Positive-Congruent Training. CoRR abs/2205.06265 (2022) - [i113]Michael Kleinman, Alessandro Achille, Stefano Soatto, Jonathan C. Kao:
Gacs-Korner Common Information Variational Autoencoder. CoRR abs/2205.12239 (2022) - [i112]Yunhao Ba, Howard Zhang, Ethan Yang, Akira Suzuki, Arnold Pfahnl, Chethan Chinder Chandrappa, Celso de Melo, Suya You, Stefano Soatto, Alex Wong, Achuta Kadambi:
Towards Ground Truth for Single Image Deraining. CoRR abs/2206.10779 (2022) - [i111]Mohamad Rida Rammal, Alessandro Achille, Aditya Golatkar, Suhas N. Diggavi, Stefano Soatto:
On Leave-One-Out Conditional Mutual Information For Generalization. CoRR abs/2207.00581 (2022) - [i110]Alessandro Achille, Stefano Soatto:
On Binding Objects to Symbols: Learning Physical Concepts to Understand Real from Fake. CoRR abs/2207.12186 (2022) - [i109]Gukyeong Kwon, Zhaowei Cai, Avinash Ravichandran, Erhan Bas, Rahul Bhotika, Stefano Soatto:
Masked Vision and Language Modeling for Multi-modal Representation Learning. CoRR abs/2208.02131 (2022) - [i108]Zhaowei Cai, Avinash Ravichandran, Paolo Favaro, Manchen Wang, Davide Modolo, Rahul Bhotika, Zhuowen Tu, Stefano Soatto:
Semi-supervised Vision Transformers at Scale. CoRR abs/2208.05688 (2022) - [i107]Michael Kleinman, Alessandro Achille, Stefano Soatto:
Critical Learning Periods for Multisensory Integration in Deep Networks. CoRR abs/2210.04643 (2022) - [i106]Alexandre Tiard, Alex Wong, David Joon Ho, Yangchao Wu, Eliram Nof, Stefano Soatto, Saad Nadeem:
Stain-invariant self supervised learning for histopathology image analysis. CoRR abs/2211.07590 (2022) - [i105]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
- [j64]Michael Kleinman, Alessandro Achille, Stefano Soatto, Jonathan C. Kao:
Redundant Information Neural Estimation. Entropy 23(7): 922 (2021) - [j63]Kensuke Nakamura, Stefano Soatto, Byung-Woo Hong:
Block-cyclic stochastic coordinate descent for deep neural networks. Neural Networks 139: 348-357 (2021) - [j62]Alex Wong, Safa Cicek, Stefano Soatto:
Learning Topology From Synthetic Data for Unsupervised Depth Completion. IEEE Robotics Autom. Lett. 6(2): 1495-1502 (2021) - [j61]Alex Wong, Xiaohan Fei, Byung-Woo Hong, Stefano Soatto:
An Adaptive Framework for Learning Unsupervised Depth Completion. IEEE Robotics Autom. Lett. 6(2): 3120-3127 (2021) - [j60]Alexander Schperberg, Stephanie Tsuei, Stefano Soatto, Dennis W. Hong:
SABER: Data-Driven Motion Planner for Autonomously Navigating Heterogeneous Robots. IEEE Robotics Autom. Lett. 6(4): 8086-8093 (2021) - [c228]Alex Wong, Mukund Mundhra, Stefano Soatto:
Stereopagnosia: Fooling Stereo Networks with Adversarial Perturbations. AAAI 2021: 2879-2888 - [c227]Lanlan Liu, Yuting Zhang, Jia Deng, Stefano Soatto:
Dynamically Grown Generative Adversarial Networks. AAAI 2021: 8680-8687 - [c226]Yuqing Xie, Yi-An Lai, Yuanjun Xiong, Yi Zhang, Stefano Soatto:
Regression Bugs Are In Your Model! Measuring, Reducing and Analyzing Regressions In NLP Model Updates. ACL/IJCNLP (1) 2021: 6589-6602 - [c225]Alex Wong, Allison Chen, Yangchao Wu, Safa Cicek, Alexandre Tiard, Byung-Woo Hong, Stefano Soatto:
Small Lesion Segmentation in Brain MRIs with Subpixel Embedding. BrainLes@MICCAI (1) 2021: 75-87 - [c224]Zhaowei Cai, Avinash Ravichandran, Subhransu Maji, Charless C. Fowlkes, Zhuowen Tu, Stefano Soatto:
Exponential Moving Average Normalization for Self-Supervised and Semi-Supervised Learning. CVPR 2021: 194-203 - [c223]Aditya Golatkar, Alessandro Achille, Avinash Ravichandran, Marzia Polito, Stefano Soatto:
Mixed-Privacy Forgetting in Deep Networks. CVPR 2021: 792-801 - [c222]Xinzhu Bei, Yanchao Yang, Stefano Soatto:
Learning Semantic-Aware Dynamics for Video Prediction. CVPR 2021: 902-912 - [c221]Yanchao Yang, Brian Lai, Stefano Soatto:
DyStaB: Unsupervised Object Segmentation via Dynamic-Static Bootstrapping. CVPR 2021: 2826-2836 - [c220]Rahul Duggal, Hao Zhou, Shuo Yang, Yuanjun Xiong, Wei Xia, Zhuowen Tu, Stefano Soatto:
Compatibility-Aware Heterogeneous Visual Search. CVPR 2021: 10723-10732 - [c219]Sijie Yan, Yuanjun Xiong, Kaustav Kundu, Shuo Yang, Siqi Deng, Meng Wang, Wei Xia, Stefano Soatto:
Positive-Congruent Training: Towards Regression-Free Model Updates. CVPR 2021: 14299-14308 - [c218]Alessandro Achille, Aditya Golatkar, Avinash Ravichandran, Marzia Polito, Stefano Soatto:
LQF: Linear Quadratic Fine-Tuning. CVPR 2021: 15729-15739 - [c217]Yifan Xing, Tong He, Tianjun Xiao, Yongxin Wang, Yuanjun Xiong, Wei Xia, David Wipf, Zheng Zhang, Stefano Soatto:
Learning Hierarchical Graph Neural Networks for Image Clustering. ICCV 2021: 3447-3457 - [c216]Qi Dong, Zhuowen Tu, Haofu Liao, Yuting Zhang, Vijay Mahadevan, Stefano Soatto:
Visual Relationship Detection Using Part-and-Sum Transformers with Composite Queries. ICCV 2021: 3530-3539 - [c215]Tong He, Yuanlu Xu, Shunsuke Saito, Stefano Soatto, Tony Tung:
ARCH++: Animation-Ready Clothed Human Reconstruction Revisited. ICCV 2021: 11026-11036 - [c214]Alex Wong, Stefano Soatto:
Unsupervised Depth Completion with Calibrated Backprojection Layers. ICCV 2021: 12727-12736 - [c213]Hrayr Harutyunyan, Alessandro Achille, Giovanni Paolini, Orchid Majumder, Avinash Ravichandran, Rahul Bhotika, Stefano Soatto:
Estimating informativeness of samples with Smooth Unique Information. ICLR 2021 - [c212]Giovanni Paolini, Ben Athiwaratkun, Jason Krone, Jie Ma, Alessandro Achille, Rishita Anubhai, Cícero Nogueira dos Santos, Bing Xiang, Stefano Soatto:
Structured Prediction as Translation between Augmented Natural Languages. ICLR 2021 - [c211]Stephanie Tsuei, Stefano Soatto, Paulo Tabuada, Mark B. Milam:
Learned Uncertainty Calibration for Visual Inertial Localization. ICRA 2021: 5311-5317 - [c210]Mingze Xu, Yuanjun Xiong, Hao Chen, Xinyu Li, Wei Xia, Zhuowen Tu, Stefano Soatto:
Long Short-Term Transformer for Online Action Detection. NeurIPS 2021: 1086-1099 - [c209]Sébastien M. R. Arnold, Guneet S. Dhillon, Avinash Ravichandran, Stefano Soatto:
Uniform Sampling over Episode Difficulty. NeurIPS 2021: 1481-1493 - [i104]Giovanni Paolini, Ben Athiwaratkun, Jason Krone, Jie Ma, Alessandro Achille, Rishita Anubhai, Cícero Nogueira dos Santos, Bing Xiang, Stefano Soatto:
Structured Prediction as Translation between Augmented Natural Languages. CoRR abs/2101.05779 (2021) - [i103]Hrayr Harutyunyan, Alessandro Achille, Giovanni Paolini, Orchid Majumder, Avinash Ravichandran, Rahul Bhotika, Stefano Soatto:
Estimating informativeness of samples with Smooth Unique Information. CoRR abs/2101.06640 (2021) - [i102]Zhaowei Cai, Avinash Ravichandran, Subhransu Maji, Charless C. Fowlkes, Zhuowen Tu, Stefano Soatto:
Exponential Moving Average Normalization for Self-supervised and Semi-supervised Learning. CoRR abs/2101.08482 (2021) - [i101]Orchid Majumder, Avinash Ravichandran, Subhransu Maji, Marzia Polito, Rahul Bhotika, Stefano Soatto:
Revisiting Contrastive Learning for Few-Shot Classification. CoRR abs/2101.11058 (2021) - [i100]Aditya Deshpande, Alessandro Achille, Avinash Ravichandran, Hao Li, Luca Zancato, Charless C. Fowlkes, Rahul Bhotika, Stefano Soatto, Pietro Perona:
A linearized framework and a new benchmark for model selection for fine-tuning. CoRR abs/2102.00084 (2021) - [i99]Xinzhu Bei, Yanchao Yang, Stefano Soatto:
Learning Semantic-Aware Dynamics for Video Prediction. CoRR abs/2104.09762 (2021) - [i98]Qi Dong, Zhuowen Tu, Haofu Liao, Yuting Zhang, Vijay Mahadevan, Stefano Soatto:
Visual Composite Set Detection Using Part-and-Sum Transformers. CoRR abs/2105.02170 (2021) - [i97]Yuqing Xie, Yi-An Lai, Yuanjun Xiong, Yi Zhang, Stefano Soatto:
Regression Bugs Are In Your Model! Measuring, Reducing and Analyzing Regressions In NLP Model Updates. CoRR abs/2105.03048 (2021) - [i96]Rahul Duggal, Hao Zhou, Shuo Yang, Yuanjun Xiong, Wei Xia, Zhuowen Tu, Stefano Soatto:
Compatibility-aware Heterogeneous Visual Search. CoRR abs/2105.06047 (2021) - [i95]Alex Wong, Safa Cicek, Stefano Soatto:
Learning Topology from Synthetic Data for Unsupervised Depth Completion. CoRR abs/2106.02994 (2021) - [i94]Alex Wong, Xiaohan Fei, Byung-Woo Hong, Stefano Soatto:
An Adaptive Framework for Learning Unsupervised Depth Completion. CoRR abs/2106.03010 (2021) - [i93]Siqi Deng, Yuanjun Xiong, Meng Wang, Wei Xia, Stefano Soatto:
Harnessing Unrecognizable Faces for Face Recognition. CoRR abs/2106.04112 (2021) - [i92]Lanlan Liu, Yuting Zhang, Jia Deng, Stefano Soatto:
Dynamically Grown Generative Adversarial Networks. CoRR abs/2106.08505 (2021) - [i91]Stephanie Tsuei, Aditya Golatkar, Stefano Soatto:
Scene Uncertainty and the Wellington Posterior of Deterministic Image Classifiers. CoRR abs/2106.13870 (2021) - [i90]Yifan Xing, Tong He, Tianjun Xiao, Yongxin Wang, Yuanjun Xiong, Wei Xia, David Wipf, Zheng Zhang, Stefano Soatto:
Learning Hierarchical Graph Neural Networks for Image Clustering. CoRR abs/2107.01319 (2021) - [i89]Mingze Xu, Yuanjun Xiong, Hao Chen, Xinyu Li, Wei Xia, Zhuowen Tu, Stefano Soatto:
Long Short-Term Transformer for Online Action Detection. CoRR abs/2107.03377 (2021) - [i88]Zhizhong Li, Avinash Ravichandran, Charless C. Fowlkes, Marzia Polito, Rahul Bhotika, Stefano Soatto:
Representation Consolidation for Training Expert Students. CoRR abs/2107.08039 (2021) - [i87]Alexander Schperberg, Stephanie Tsuei, Stefano Soatto, Dennis W. Hong:
SABER: Data-Driven Motion Planner for Autonomously Navigating Heterogeneous Robots. CoRR abs/2108.01262 (2021) - [i86]Sébastien M. R. Arnold, Guneet S. Dhillon, Avinash Ravichandran, Stefano Soatto:
Uniform Sampling over Episode Difficulty. CoRR abs/2108.01662 (2021) - [i85]Tong He, Yuanlu Xu, Shunsuke Saito, Stefano Soatto, Tony Tung:
ARCH++: Animation-Ready Clothed Human Reconstruction Revisited. CoRR abs/2108.07845 (2021) - [i84]Alex Wong, Stefano Soatto:
Unsupervised Depth Completion with Calibrated Backprojection Layers. CoRR abs/2108.10531 (2021) - [i83]Alex Wong, Allison Chen, Yangchao Wu, Safa Cicek, Alexandre Tiard, Byung-Woo Hong, Stefano Soatto:
Small Lesion Segmentation in Brain MRIs with Subpixel Embedding. CoRR abs/2109.08791 (2021) - [i82]Stephanie Tsuei, Stefano Soatto, Paulo Tabuada, Mark B. Milam:
Learned Uncertainty Calibration for Visual Inertial Localization. CoRR abs/2110.02136 (2021) - [i81]Yonatan Dukler, Alessandro Achille, Giovanni Paolini, Avinash Ravichandran, Marzia Polito, Stefano Soatto:
DIVA: Dataset Derivative of a Learning Task. CoRR abs/2111.09785 (2021) - [i80]Zachary Berger, Parth Agrawal, Tian Yu Liu, Stefano Soatto, Alex Wong:
Stereoscopic Universal Perturbations across Different Architectures and Datasets. CoRR abs/2112.06116 (2021) - 2020
- [j59]Rita Fioresi, Pratik Chaudhari, Stefano Soatto:
A Geometric Interpretation of Stochastic Gradient Descent Using Diffusion Metrics. Entropy 22(1): 101 (2020) - [j58]Alex Wong, Xiaohan Fei, Stephanie Tsuei, Stefano Soatto:
Unsupervised Depth Completion From Visual Inertial Odometry. IEEE Robotics Autom. Lett. 5(2): 1899-1906 (2020) - [j57]Byung-Woo Hong, Ja-Keoung Koo, Martin Burger, Stefano Soatto:
Adaptive Regularization of Some Inverse Problems in Image Analysis. IEEE Trans. Image Process. 29: 2507-2521 (2020) - [c208]Shay Deutsch, Andrea L. Bertozzi, Stefano Soatto:
Zero Shot Learning with the Isoperimetric Loss. AAAI 2020: 10704-10712 - [c207]Tong He, John P. Collomosse, Hailin Jin, Stefano Soatto:
DeepVoxels++: Enhancing the Fidelity of Novel View Synthesis from 3D Voxel Embeddings. ACCV (1) 2020: 244-260 - [c206]Safa Cicek, Ning Xu, Zhaowen Wang, Hailin Jin, Stefano Soatto:
Spatial Class Distribution Shift in Unsupervised Domain Adaptation: Local Alignment Comes to Rescue. ACCV (3) 2020: 623-638 - [c205]Albert Zhao, Tong He, Yitao Liang, Haibin Huang, Guy Van den Broeck, Stefano Soatto:
SAM: Squeeze-and-Mimic Networks for Conditional Visual Driving Policy Learning. CoRL 2020: 156-175 - [c204]Yanchao Yang, Stefano Soatto:
FDA: Fourier Domain Adaptation for Semantic Segmentation. CVPR 2020: 4084-4094 - [c203]Yantao Shen, Yuanjun Xiong, Wei Xia, Stefano Soatto:
Towards Backward-Compatible Representation Learning. CVPR 2020: 6367-6376 - [c202]Yanchao Yang, Yutong Chen, Stefano Soatto:
Learning to Manipulate Individual Objects in an Image. CVPR 2020: 6557-6566 - [c201]Yanchao Yang, Dong Lao, Ganesh Sundaramoorthi, Stefano Soatto:
Phase Consistent Ecological Domain Adaptation. CVPR 2020: 9008-9017 - [c200]Aditya Golatkar, Alessandro Achille, Stefano Soatto:
Eternal Sunshine of the Spotless Net: Selective Forgetting in Deep Networks. CVPR 2020: 9301-9309 - [c199]Aditya Golatkar, Alessandro Achille, Stefano Soatto:
Forgetting Outside the Box: Scrubbing Deep Networks of Information Accessible from Input-Output Observations. ECCV (29) 2020: 383-398 - [c198]Safa Cicek, Ning Xu, Zhaowen Wang, Hailin Jin, Stefano Soatto:
Disentangled Image Generation for Unsupervised Domain Adaptation. ECCV Workshops (1) 2020: 662-665 - [c197]Qing Liu, Orchid Majumder, Alessandro Achille, Avinash Ravichandran, Rahul Bhotika, Stefano Soatto:
Incremental Few-Shot Meta-learning via Indirect Discriminant Alignment. ECCV (7) 2020: 685-701 - [c196]Guneet Singh Dhillon, Pratik Chaudhari, Avinash Ravichandran, Stefano Soatto:
A Baseline for Few-Shot Image Classification. ICLR 2020 - [c195]Rasool Fakoor, Pratik Chaudhari, Stefano Soatto, Alexander J. Smola:
Meta-Q-Learning. ICLR 2020 - [c194]Hao Li, Pratik Chaudhari, Hao Yang, Michael Lam, Avinash Ravichandran, Rahul Bhotika, Stefano Soatto:
Rethinking the Hyperparameters for Fine-tuning. ICLR 2020 - [c193]Alexander Schperberg, Kenny Chen, Stephanie Tsuei, Michael Jewett, Joshua Hooks, Stefano Soatto, Ankur Mehta, Dennis W. Hong:
Risk-Averse MPC via Visual-Inertial Input and Recurrent Networks for Online Collision Avoidance. IROS 2020: 5730-5737 - [c192]Tong He, John P. Collomosse, Hailin Jin, Stefano Soatto:
Geo-PIFu: Geometry and Pixel Aligned Implicit Functions for Single-view Human Reconstruction. NeurIPS 2020 - [c191]Alex Wong, Safa Cicek, Stefano Soatto:
Targeted Adversarial Perturbations for Monocular Depth Prediction. NeurIPS 2020 - [c190]Luca Zancato, Alessandro Achille, Avinash Ravichandran, Rahul Bhotika, Stefano Soatto:
Predicting Training Time Without Training. NeurIPS 2020 - [i79]Qing Liu, Orchid Majumder, Avinash Ravichandran, Rahul Bhotika, Stefano Soatto:
Incremental Learning for Metric-Based Meta-Learners. CoRR abs/2002.04162 (2020) - [i78]Xialei Liu, Hao Yang, Avinash Ravichandran, Rahul Bhotika, Stefano Soatto:
Continual Universal Object Detection. CoRR abs/2002.05347 (2020) - [i77]Hao Li, Pratik Chaudhari, Hao Yang, Michael Lam, Avinash Ravichandran, Rahul Bhotika, Stefano Soatto:
Rethinking the Hyperparameters for Fine-tuning. CoRR abs/2002.11770 (2020) - [i76]Aditya Golatkar, Alessandro Achille, Stefano Soatto:
Forgetting Outside the Box: Scrubbing Deep Networks of Information Accessible from Input-Output Observations. CoRR abs/2003.02960 (2020) - [i75]Yantao Shen, Yuanjun Xiong, Wei Xia, Stefano Soatto:
Towards Backward-Compatible Representation Learning. CoRR abs/2003.11942 (2020) - [i74]Yanchao Yang, Dong Lao, Ganesh Sundaramoorthi, Stefano Soatto:
Phase Consistent Ecological Domain Adaptation. CoRR abs/2004.04923 (2020) - [i73]Yanchao Yang, Yutong Chen, Stefano Soatto:
Learning to Manipulate Individual Objects in an Image. CoRR abs/2004.05495 (2020) - [i72]Yanchao Yang, Stefano Soatto:
FDA: Fourier Domain Adaptation for Semantic Segmentation. CoRR abs/2004.05498 (2020) - [i71]