Taskonomy: Disentangling Task Transfer Learning

23 April 2018

Silvio Savarese

Papers citing "Taskonomy: Disentangling Task Transfer Learning"

50 / 295 papers shown

Title
Multi-Task Self-Training for Learning General Representations Golnaz Ghiasi Barret Zoph E. D. Cubuk Quoc V. Le Nayeon Lee SSL 24 100 0 25 Aug 2021
UniNet: A Unified Scene Understanding Network and Exploring Multi-Task Relationships through the Lens of Adversarial Attacks Naresh Gurulingan Elahe Arani Bahram Zonooz 19 7 0 10 Aug 2021
Artificial Intelligence-Driven Customized Manufacturing Factory: Key Technologies, Applications, and Challenges J. Wan Xiaomin Li Hongning Dai A. Kusiak Miguel Martínez-García Di Li 43 154 0 07 Aug 2021
Geometry Uncertainty Projection Network for Monocular 3D Object Detection Yan Lu Xinzhu Ma Lei Yang Tianzhu Zhang Yating Liu Qi Chu Junjie Yan Wanli Ouyang MDE 22 211 0 29 Jul 2021
On-edge Multi-task Transfer Learning: Model and Practice with Data-driven Task Allocation Zimu Zheng Qiong Chen Chuang Hu Dan Wang Fangming Liu 26 67 0 06 Jul 2021
Do sound event representations generalize to other audio tasks? A case study in audio transfer learning Anurag Kumar Yun Wang V. Ithapu Christian Fuegen 24 3 0 21 Jun 2021
Frustratingly Easy Transferability Estimation Long-Kai Huang Ying Wei Yu Rong Qiang Yang Junzhou Huang 38 57 0 17 Jun 2021
Automated Self-Supervised Learning for Graphs Wei Jin Xiaorui Liu Xiangyu Zhao Yao Ma Neil Shah Jiliang Tang SSL 29 76 0 10 Jun 2021
TransNAS-Bench-101: Improving Transferability and Generalizability of Cross-Task Neural Architecture Search Yawen Duan Xin Chen Hang Xu Zewei Chen Li Xiaodan Tong Zhang Zhenguo Li ViT 20 69 0 25 May 2021
Learning to Relate Depth and Semantics for Unsupervised Domain Adaptation Suman Saha Anton Obukhov D. Paudel Menelaos Kanakis Yuhua Chen Stamatios Georgoulis Luc Van Gool OOD 39 55 0 17 May 2021
Salient Objects in Clutter Deng-Ping Fan Jing Zhang Gang Xu Mingg-Ming Cheng Ling Shao 44 43 0 07 May 2021
Domain Adaptive Semantic Segmentation with Self-Supervised Depth Estimation Qin Wang Dengxin Dai Lukas Hoyer Luc Van Gool Olga Fink OOD MDE 58 139 0 28 Apr 2021
CrossFit: A Few-shot Learning Challenge for Cross-task Generalization in NLP Qinyuan Ye Bill Yuchen Lin Xiang Ren 223 180 0 18 Apr 2021
What to Pre-Train on? Efficient Intermediate Task Selection Clifton A. Poth Jonas Pfeiffer Andreas Rucklé Iryna Gurevych 24 94 0 16 Apr 2021
MT-Opt: Continuous Multi-Task Robotic Reinforcement Learning at Scale Dmitry Kalashnikov Jacob Varley Yevgen Chebotar Benjamin Swanson Rico Jonschkowski Chelsea Finn Sergey Levine Karol Hausman OffRL 47 271 0 16 Apr 2021
Modular Adaptation for Cross-Domain Few-Shot Learning Xiaoyu Lin Meng Ye Yunye Gong G. Buracas Nikoletta Basiou Ajay Divakaran Yi Yao 26 4 0 01 Apr 2021
Federated Learning with Taskonomy for Non-IID Data Hadi Jamali Rad Mohammad Abdizadeh Anuj Singh FedML 48 54 0 29 Mar 2021
In-Place Scene Labelling and Understanding with Implicit Scene Representation Shuaifeng Zhi Tristan Laidlow Stefan Leutenegger Andrew J. Davison 33 407 0 29 Mar 2021
Contrasting Contrastive Self-Supervised Representation Learning Pipelines Klemen Kotar Gabriel Ilharco Ludwig Schmidt Kiana Ehsani Roozbeh Mottaghi SSL 43 46 0 25 Mar 2021
Factors of Influence for Transfer Learning across Diverse Appearance Domains and Task Types Thomas Mensink J. Uijlings Alina Kuznetsova Michael Gygli V. Ferrari VLM 43 81 0 24 Mar 2021
Fisher Task Distance and Its Application in Neural Architecture Search Cat P. Le Mohammadreza Soltani Juncheng Dong Vahid Tarokh FedML 24 8 0 23 Mar 2021
Is it enough to optimize CNN architectures on ImageNet? Lukas Tuggener Jürgen Schmidhuber Thilo Stadelmann 33 23 0 16 Mar 2021
Virtual Normal: Enforcing Geometric Constraints for Accurate and Robust Depth Prediction Wei Yin Yifan Liu Chunhua Shen MDE 24 72 0 07 Mar 2021
End-to-end optimized image compression for multiple machine tasks Lahiru D. Chamain Fabien Racapé Jean Bégaint Akshay Pushparaja Simon Feltman 21 22 0 06 Mar 2021
RotoGrad: Gradient Homogenization in Multitask Learning Adrián Javaloy Isabel Valera 26 86 0 03 Mar 2021
Learning Invariant Representations across Domains and Tasks Jindong Wang Wenjie Feng Chang-Shu Liu Chaohui Yu Min Du Renjun Xu Tao Qin Tie-Yan Liu OOD 28 3 0 03 Mar 2021
Exploring Complementary Strengths of Invariant and Equivariant Representations for Few-Shot Learning Mamshad Nayeem Rizve Salman Khan Fahad Shahbaz Khan M. Shah 41 109 0 01 Mar 2021
LogME: Practical Assessment of Pre-trained Models for Transfer Learning Kaichao You Yong Liu Jianmin Wang Mingsheng Long 27 178 0 22 Feb 2021
UniT: Multimodal Multitask Learning with a Unified Transformer Ronghang Hu Amanpreet Singh ViT 25 295 0 22 Feb 2021
A linearized framework and a new benchmark for model selection for fine-tuning Aditya Deshpande Alessandro Achille Avinash Ravichandran Hao Li L. Zancato Charless C. Fowlkes Rahul Bhotika Stefano Soatto Pietro Perona ALM 120 46 0 29 Jan 2021
An Automatic System to Monitor the Physical Distance and Face Mask Wearing of Construction Workers in COVID-19 Pandemic Moein Razavi H. Alikhani Vahid Janfaza Benyamin Sadeghi E. Alikhani CVBM 19 56 0 05 Jan 2021
Learning to Recover 3D Scene Shape from a Single Image Wei Yin Jianming Zhang Oliver Wang Simon Niklaus Long Mai Simon Chen Chunhua Shen MDE 26 231 0 17 Dec 2020
Concept Generalization in Visual Representation Learning Mert Bulent Sariyildiz Yannis Kalantidis Diane Larlus Alahari Karteek SSL 35 50 0 10 Dec 2020
Detecting 32 Pedestrian Attributes for Autonomous Vehicles Taylor Mordan Matthieu Cord P. Pérez Alexandre Alahi 24 22 0 04 Dec 2020
Deep Learning and the Global Workspace Theory R. V. Rullen Ryota Kanai 45 66 0 04 Dec 2020
Learn to Bind and Grow Neural Structures Azhar Shaikh Nishant Sinha CLL 21 0 0 21 Nov 2020
Design Space for Graph Neural Networks Jiaxuan You Rex Ying J. Leskovec GNN AI4CE 33 315 0 17 Nov 2020
Empowering Things with Intelligence: A Survey of the Progress, Challenges, and Opportunities in Artificial Intelligence of Things Jing Zhang Dacheng Tao 45 462 0 17 Nov 2020
Measuring and Harnessing Transference in Multi-Task Learning Christopher Fifty Ehsan Amid Zhe Zhao Tianhe Yu Rohan Anil Chelsea Finn 28 15 0 29 Oct 2020
An Improved Event-Independent Network for Polyphonic Sound Event Localization and Detection Yin Cao Turab Iqbal Qiuqiang Kong Y. Zhong Wenwu Wang Mark D. Plumbley 16 75 0 25 Oct 2020
Auxiliary Task Reweighting for Minimum-data Learning Baifeng Shi Judy Hoffman Kate Saenko Trevor Darrell Huijuan Xu MoMe 27 32 0 16 Oct 2020
Just Pick a Sign: Optimizing Deep Multitask Models with Gradient Sign Dropout Zhao Chen Jiquan Ngiam Yanping Huang Thang Luong Henrik Kretzschmar Yuning Chai Dragomir Anguelov 41 207 0 14 Oct 2020
Which Model to Transfer? Finding the Needle in the Growing Haystack Cédric Renggli André Susano Pinto Luka Rimanic J. Puigcerver C. Riquelme Ce Zhang Mario Lucic 34 24 0 13 Oct 2020
Controllable Pareto Multi-Task Learning Xi Lin Zhiyuan Yang Qingfu Zhang Sam Kwong MoE 77 73 0 13 Oct 2020
Gradient Vaccine: Investigating and Improving Multi-task Optimization in Massively Multilingual Models Zirui Wang Yulia Tsvetkov Orhan Firat Yuan Cao 33 196 0 12 Oct 2020
Deep Anomaly Detection by Residual Adaptation Lucas Deecke Lukas Ruff Robert A. Vandermeulen Hakan Bilen UQCV 30 4 0 05 Oct 2020
Multi-Task Learning with Deep Neural Networks: A Survey M. Crawshaw CVBM 55 609 0 10 Sep 2020
Semi-supervised Medical Image Segmentation through Dual-task Consistency Xiangde Luo Jieneng Chen Tao Song Yinan Chen Guotai Wang Shaoting Zhang 24 520 0 09 Sep 2020
A Primer on Motion Capture with Deep Learning: Principles, Pitfalls and Perspectives Alexander Mathis Steffen Schneider Jessy Lauer Mackenzie W. Mathis 35 165 0 01 Sep 2020
Exploiting Scene-specific Features for Object Goal Navigation Tommaso Campari Paolo Eccher Luciano Serafini Lamberto Ballan 23 28 0 21 Aug 2020