Universal Representations: A Unified Look at Multiple Task and Domain Learning

6 April 2022

Papers citing "Universal Representations: A Unified Look at Multiple Task and Domain Learning"

24 / 24 papers shown

Title
UniSTD: Towards Unified Spatio-Temporal Learning across Diverse Disciplines Chen Tang Xinzhu Ma Encheng Su Xiufeng Song Xiaohong Liu Wei-Hong Li Lei Bai Wanli Ouyang Xiangyu Yue 3DGS AI4TS 67 0 0 26 Mar 2025
Gradient-Based Multi-Objective Deep Learning: Algorithms, Theories, Applications, and Beyond Weiyu Chen Xiaoyuan Zhang Baijiong Lin Xi Victoria Lin Han Zhao Qingfu Zhang James T. Kwok 73 2 0 19 Jan 2025
Tabular Data Augmentation for Machine Learning: Progress and Prospects of Embracing Generative AI Lingxi Cui Huan Li Ke Chen Alexander Lerch Gang Chen LMTD 68 14 0 31 Jul 2024
DiffusionMTL: Learning Multi-Task Denoising Diffusion Model from Partially Annotated Data Hanrong Ye Dan Xu DiffM 50 4 0 22 Mar 2024
CoTBal: Comprehensive Task Balancing for Multi-Task Visual Instruction Tuning Yanqi Dai Dong Jing Nanyi Fei Zhiwu Lu Nanyi Fei Guoxing Yang Zhiwu Lu 45 3 0 07 Mar 2024
Fine-tuning with Very Large Dropout Jianyu Zhang Léon Bottou 32 1 0 01 Mar 2024
Data exploitation: multi-task learning of object detection and semantic segmentation on partially annotated data Hoàng-Ân Lê Minh-Tan Pham 24 2 0 07 Nov 2023
TSP-Transformer: Task-Specific Prompts Boosted Transformer for Holistic Scene Understanding Shuo Wang Jing Li Zibo Zhao Dongze Lian Binbin Huang Xiaomei Wang Zhengxin Li Shenghua Gao 20 4 0 06 Nov 2023
Scalarization for Multi-Task and Multi-Domain Learning at Scale Amelie Royer Tijmen Blankevoort B. Bejnordi 26 16 0 13 Oct 2023
Multi-task Learning with 3D-Aware Regularization Weihong Li Steven G. McDonagh A. Leonardis Hakan Bilen 16 3 0 02 Oct 2023
Self-Training and Multi-Task Learning for Limited Data: Evaluation Study on Object Detection Hoàng-Ân Lê Minh-Tan Pham 30 2 0 12 Sep 2023
Deformable Mixer Transformer with Gating for Multi-Task Learning of Dense Prediction Yangyang Xu Yibo Yang Bernard Ghanemm L. Zhang Du Bo Dacheng Tao 8 1 0 10 Aug 2023
InvPT++: Inverted Pyramid Multi-Task Transformer for Visual Scene Understanding Hanrong Ye Dan Xu ViT 16 10 0 08 Jun 2023
Independent Component Alignment for Multi-Task Learning Dmitry Senushkin Nikolay Patakin Arseny Kuznetsov Anton Konushin CVBM 24 41 0 30 May 2023
MetaMorphosis: Task-oriented Privacy Cognizant Feature Generation for Multi-task Learning Md. Adnan Arefeen Zhouyu Li M. Y. S. Uddin Anupam Das 17 0 0 13 May 2023
Efficient Computation Sharing for Multi-Task Visual Scene Understanding Sara Shoouri Mingyu Yang Zichen Fan Hun-Seok Kim MoE 8 3 0 16 Mar 2023
Deep Learning for Cross-Domain Few-Shot Visual Recognition: A Survey Huali Xu Shuaifeng Zhi Shuzhou Sun Vishal M. Patel Li Liu 25 13 0 15 Mar 2023
Learning useful representations for shifting tasks and distributions Jianyu Zhang Léon Bottou OOD 17 13 0 14 Dec 2022
Transferability-Guided Cross-Domain Cross-Task Transfer Learning Yang Tan Enming Zhang Yang Li Shao-Lun Huang Xiaoping Zhang OT 20 9 0 12 Jul 2022
CrossTransformers: spatially-aware few-shot transfer Carl Doersch Ankush Gupta Andrew Zisserman ViT 201 328 0 22 Jul 2020
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 243 11,568 0 09 Mar 2017
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation Vijay Badrinarayanan Alex Kendall R. Cipolla SSeg 429 15,438 0 02 Nov 2015
Designing Deep Networks for Surface Normal Estimation X. Wang David Fouhey Abhinav Gupta 3DV SSL 154 352 0 18 Nov 2014
ImageNet Large Scale Visual Recognition Challenge Olga Russakovsky Jia Deng Hao Su J. Krause S. Satheesh ... A. Karpathy A. Khosla Michael S. Bernstein Alexander C. Berg Li Fei-Fei VLM ObjD 282 39,083 0 01 Sep 2014