Taskonomy: Disentangling Task Transfer Learning

23 April 2018

Silvio Savarese

Papers citing "Taskonomy: Disentangling Task Transfer Learning"

50 / 295 papers shown

Title
2D-3D Attention and Entropy for Pose Robust 2D Facial Recognition J. Brennan Peace Shuowen Hu B. Riggan CVBM 31 0 0 14 May 2025
Learning Streaming Video Representation via Multitask Training Yibin Yan Jilan Xu Shangzhe Di Yikun Liu Yudi Shi Qirui Chen Zeqian Li Yifei Huang Weidi Xie CLL 84 0 0 28 Apr 2025
Transcending Dimensions using Generative AI: Real-Time 3D Model Generation in Augmented Reality Majid Behravan Maryam Haghani Denis Gračanin 91 1 0 27 Apr 2025
Learning Optimal Prompt Ensemble for Multi-source Visual Prompt Transfer Enming Zhang Liwen Cao Yanru Wu Zijie Zhao Guan Wang Yang Li 52 0 0 09 Apr 2025
RBFleX-NAS: Training-Free Neural Architecture Search Using Radial Basis Function Kernel and Hyperparameter Detection Tomomasa Yamasaki Zhehui Wang Tao Luo Niangjun Chen Bo Wang 32 0 0 26 Mar 2025
Redefining non-IID Data in Federated Learning for Computer Vision Tasks: Migrating from Labels to Embeddings for Task-Specific Data Distributions Kasra Borazjani Payam Abdisarabshali Naji Khosravan Seyyedali Hosseinalipour FedML 41 1 0 17 Mar 2025
DRESS: Disentangled Representation-based Self-Supervised Meta-Learning for Diverse Tasks Wei Cui Tongzi Wu Jesse C. Cresswell Yi Sui Keyvan Golestan 71 0 0 12 Mar 2025
Make Haste Slowly: A Theory of Emergent Structured Mixed Selectivity in Feature Learning ReLU Networks Devon Jarvis Richard Klein Benjamin Rosman Andrew M. Saxe MLT 66 1 0 08 Mar 2025
Statistical Deficiency for Task Inclusion Estimation Loïc Fosse Frédéric Béchet Benoit Favre Géraldine Damnati Gwénolé Lecorvé Maxime Darrin Philippe Formont Pablo Piantanida 204 0 0 07 Mar 2025
SplatPose: Geometry-Aware 6-DoF Pose Estimation from Single RGB Image via 3D Gaussian Splatting Linqi Yang Xiongwei Zhao Qihao Sun Ke Wang Ao Chen Peng Kang 3DGS 89 0 0 07 Mar 2025
Enhancing Monocular Depth Estimation with Multi-Source Auxiliary Tasks Alessio Quercia Erenus Yildiz Zhuo Cao Kai Krajsek Abigail Morrison Ira Assent Hanno Scharr 58 0 0 22 Jan 2025
How Well Do Supervised 3D Models Transfer to Medical Imaging Tasks? Wenxuan Li Alan Yuille Zongwei Zhou MedIm 51 8 0 20 Jan 2025
Multi-Task Semantic Communication With Graph Attention-Based Feature Correlation Extraction Xi Yu Tiejun Lv Weicai Li Wei Ni Dusit Niyato Ekram Hossain 48 2 0 02 Jan 2025
MoGe: Unlocking Accurate Monocular Geometry Estimation for Open-Domain Images with Optimal Training Supervision Ruicheng Wang Sicheng Xu Cassie Dai Jianfeng Xiang Yu Deng Xin Tong Jiaolong Yang TPM 3DH MDE 60 30 0 24 Oct 2024
AdapMTL: Adaptive Pruning Framework for Multitask Learning Model Mingcan Xiang Steven Jiaxun Tang Qizheng Yang Hui Guan Tongping Liu VLM 41 0 0 07 Aug 2024
Coding for Intelligence from the Perspective of Category Wenhan Yang Zixuan Hu Lilang Lin Jiaying Liu Ling-Yu Duan AI4CE 56 1 0 01 Jul 2024
Jacobian Descent for Multi-Objective Optimization Pierre Quinton Valérian Rey 41 3 0 23 Jun 2024
Concept-skill Transferability-based Data Selection for Large Vision-Language Models Jaewoo Lee Boyang Li Sung Ju Hwang VLM 43 8 0 16 Jun 2024
Disentangling and Mitigating the Impact of Task Similarity for Continual Learning Naoki Hiratani CLL 37 2 0 30 May 2024
KITE: A Kernel-based Improved Transferability Estimation Method Yunhui Guo 49 0 0 01 May 2024
UniFS: Universal Few-shot Instance Perception with Point Representations Sheng Jin Ruijie Yao Lumin Xu Wentao Liu Chao Qian Ji Wu Ping Luo 48 2 0 30 Apr 2024
Chameleon: A Data-Efficient Generalist for Dense Visual Prediction in the Wild Donggyun Kim Seongwoong Cho Semin Kim Chong Luo Seunghoon Hong VLM 45 2 0 29 Apr 2024
Meta-Transfer Derm-Diagnosis: Exploring Few-Shot Learning and Transfer Learning for Skin Disease Classification in Long-Tail Distribution Zeynep Özdemir H. Keles Ö. Ö. Tanriöver 45 0 0 25 Apr 2024
Model Selection with Model Zoo via Graph Learning Ziyu Li Hilco van der Wilk Danning Zhan Megha Khosla A. Bozzon Rihan Hai 48 1 0 05 Apr 2024
Is Synthetic Image Useful for Transfer Learning? An Investigation into Data Generation, Volume, and Utilization Yuhang Li Xin Dong Chen Chen Jingtao Li Yuxin Wen Michael Spranger Lingjuan Lyu DiffM 34 4 0 28 Mar 2024
Metric3Dv2: A Versatile Monocular Geometric Foundation Model for Zero-shot Metric Depth and Surface Normal Estimation Mu Hu Wei Yin C. Zhang Zhipeng Cai Xiaoxiao Long Kaixuan Wang Kaixuan Wang Gang Yu Chunhua Shen Shaojie Shen 3DGS 54 118 0 22 Mar 2024
Controlled Training Data Generation with Diffusion Models Teresa Yeo Andrei Atanov Harold Benoit Aleksandr Alekseev Ruchira Ray Pooya Esmaeil Akhoondi Amir Zamir 49 4 0 22 Mar 2024
Learning to Project for Cross-Task Knowledge Distillation Dylan Auty Roy Miles Benedikt Kolbeinsson K. Mikolajczyk 45 0 0 21 Mar 2024
Hyperparameters in Continual Learning: A Reality Check Sungmin Cha Kyunghyun Cho CLL 71 2 0 14 Mar 2024
Robustifying and Boosting Training-Free Neural Architecture Search Zhenfeng He Yao Shu Zhongxiang Dai K. H. Low 43 1 0 12 Mar 2024
Towards Principled Task Grouping for Multi-Task Learning Chenguang Wang Xuanhao Pan Tianshu Yu 38 0 0 23 Feb 2024
Adaptive multi-gradient methods for quasiconvex vector optimization and applications to multi-task learning Nguyen Anh Minh L. Muu Tran Ngoc Thang 27 0 0 09 Feb 2024
Robust Analysis of Multi-Task Learning Efficiency: New Benchmarks on Light-Weighed Backbones and Effective Measurement of Multi-Task Learning Challenges by Feature Disentanglement Dayou Mao Yuhao Chen Yifan Wu Maximilian Gilles Alexander Wong AAML 41 0 0 05 Feb 2024
PartSTAD: 2D-to-3D Part Segmentation Task Adaptation Hyunjin Kim Minhyuk Sung 51 8 0 11 Jan 2024
4M: Massively Multimodal Masked Modeling David Mizrahi Roman Bachmann Ouguzhan Fatih Kar Teresa Yeo Mingfei Gao Afshin Dehghan Amir Zamir MLLM 50 64 0 11 Dec 2023
PolyMaX: General Dense Prediction with Mask Transformer Xuan S. Yang Liangzhe Yuan Kimberly Wilber Astuti Sharma Xiuye Gu ... Stephanie Debats Huisheng Wang Hartwig Adam Mikhail Sirotenko Liang-Chieh Chen 34 14 0 09 Nov 2023
From Denoising Training to Test-Time Adaptation: Enhancing Domain Generalization for Medical Image Segmentation Ruxue Wen Hangjie Yuan Dong Ni Wenbo Xiao Yaoyao Wu OOD 27 12 0 31 Oct 2023
GradSim: Gradient-Based Language Grouping for Effective Multilingual Training Mingyang Wang Heike Adel Lukas Lange Jannik Strötgen Hinrich Schütze 33 3 0 23 Oct 2023
Interpreting and Exploiting Functional Specialization in Multi-Head Attention under Multi-task Learning Chong Li Shaonan Wang Yunhao Zhang Jiajun Zhang Chengqing Zong 38 4 0 16 Oct 2023
Disentangled Latent Spaces Facilitate Data-Driven Auxiliary Learning Geri Skenderi Luigi Capogrosso Andrea Toaiari Matteo Denitto Franco Fummi Simone Melzi Marco Cristani OOD 36 0 0 13 Oct 2023
Building a Winning Team: Selecting Source Model Ensembles using a Submodular Transferability Estimation Approach KB Vimal Saketh Bachu Tanmay Garg Niveditha Lakshmi Narasimhan Raghavan Konuru Vineeth N. Balasubramanian 42 2 0 05 Sep 2023
Multi-Task Hypergraphs for Semi-supervised Learning using Earth Observations Mihai Cristian Pîrvu Alina Marcu A. Dobrescu N. Belbachir Marius Leordeanu 19 6 0 21 Aug 2023
SAAM: Stealthy Adversarial Attack on Monocular Depth Estimation Amira Guesmi Muhammad Abdullah Hanif B. Ouni Muhammad Shafique MDE 40 12 0 06 Aug 2023
TaskExpert: Dynamically Assembling Multi-Task Representations with Memorial Mixture-of-Experts Hanrong Ye Dan Xu MoE 42 26 0 28 Jul 2023
Does Visual Pretraining Help End-to-End Reasoning? Chen Sun Calvin Luo Xingyi Zhou Anurag Arnab Cordelia Schmid OCL LRM ViT 38 3 0 17 Jul 2023
Advances and Challenges in Meta-Learning: A Technical Review Anna Vettoruzzo Mohamed-Rafik Bouguelia Joaquin Vanschoren Thorsteinn Rögnvaldsson K. Santosh OffRL 34 70 0 10 Jul 2023
InvPT++: Inverted Pyramid Multi-Task Transformer for Visual Scene Understanding Hanrong Ye Dan Xu ViT 35 10 0 08 Jun 2023
FAMO: Fast Adaptive Multitask Optimization B. Liu Yihao Feng Peter Stone Qian Liu 41 32 0 06 Jun 2023
Performance-optimized deep neural networks are evolving into worse models of inferotemporal visual cortex Drew Linsley I. F. Rodriguez Thomas Fel Michael Arcaro Saloni Sharma Margaret Livingstone Thomas Serre 35 19 0 06 Jun 2023
Single-Stage 3D Geometry-Preserving Depth Estimation Model Training on Dataset Mixtures with Uncalibrated Stereo Data Nikolay Patakin Mikhail Romanov Anna Vorontsova M. Artemyev Anton Konushin MDE 52 6 0 05 Jun 2023