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2203.16708
Cited By
Task Adaptive Parameter Sharing for Multi-Task Learning
Computer Vision and Pattern Recognition (CVPR), 2022
30 March 2022
Matthew Wallingford
Hao Li
Alessandro Achille
Avinash Ravichandran
Charless C. Fowlkes
Rahul Bhotika
Stefano Soatto
MoMe
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Papers citing
"Task Adaptive Parameter Sharing for Multi-Task Learning"
38 / 38 papers shown
Cross-Learning from Scarce Data via Multi-Task Constrained Optimization
Leopoldo Agorio
J. Cerviño
Miguel Calvo-Fullana
Alejandro Ribeiro
J. Bazerque
131
0
0
17 Nov 2025
ECGXtract: Deep Learning-based ECG Feature Extraction for Automated CVD Diagnosis
Youssif Abuzied
Hassan AbdEltawab
Abdelrhman Gaber
Tamer ElBatt
36
0
0
27 Oct 2025
SMS: Self-supervised Model Seeding for Verification of Machine Unlearning
IEEE Transactions on Dependable and Secure Computing (IEEE TDSC), 2025
Weiqi Wang
Chenhan Zhang
Zhiyi Tian
Shui Yu
AAML
MU
148
0
0
30 Sep 2025
Batching-Aware Joint Model Onloading and Offloading for Hierarchical Multi-Task Inference
Seohyeon Cha
Kevin Chan
G. Veciana
H. Vikalo
96
0
0
18 Aug 2025
EndoARSS: Adapting Spatially-Aware Foundation Model for Efficient Activity Recognition and Semantic Segmentation in Endoscopic Surgery
Advanced Intelligent Systems (Adv. Intell. Syst.), 2025
Guankun Wang
Rui Tang
Mengya Xu
Long Bai
Huxin Gao
Hongliang Ren
161
0
0
07 Jun 2025
ThanoRA: Task Heterogeneity-Aware Multi-Task Low-Rank Adaptation
Jian Liang
Wenke Huang
Xianda Guo
Guancheng Wan
Bo Du
Mang Ye
MoMe
MoE
319
1
0
24 May 2025
Continual Cross-Modal Generalization
Yan Xia
Hai Huang
Minghui Fang
Zhou Zhao
CLL
292
1
0
01 Apr 2025
Fine Tuning without Catastrophic Forgetting via Selective Low Rank Adaptation
Reza Akbarian Bafghi
Carden Bagwell
Avinash Ravichandran
Ashish Shrivastava
M. Raissi
267
5
0
28 Jan 2025
PSformer: Parameter-efficient Transformer with Segment Attention for Time Series Forecasting
Yanlong Wang
Jinfeng Xu
Fei Ma
Shao-Lun Huang
Danny Dongning Sun
Xiao-Ping Zhang
AI4TS
354
3
0
03 Nov 2024
Swiss Army Knife: Synergizing Biases in Knowledge from Vision Foundation Models for Multi-Task Learning
International Conference on Learning Representations (ICLR), 2024
Yuxiang Lu
Shengcao Cao
Yu-Xiong Wang
505
6
0
18 Oct 2024
DLM-VMTL:A Double Layer Mapper for heterogeneous data video Multi-task prompt learning
Zeyi Bo
Wuxi Sun
Ye Jin
VLM
311
0
0
29 Aug 2024
Enhancing Semantic Similarity Understanding in Arabic NLP with Nested Embedding Learning
Omer Nacar
Anis Koubaa
167
6
0
30 Jul 2024
Exploring Training on Heterogeneous Data with Mixture of Low-rank Adapters
International Conference on Machine Learning (ICML), 2024
Yuhang Zhou
Zihua Zhao
Haolin Li
Siyuan Du
Jiangchao Yao
Ya Zhang
Yanfeng Wang
MoMe
MoE
289
9
0
14 Jun 2024
Towards Modular LLMs by Building and Reusing a Library of LoRAs
International Conference on Machine Learning (ICML), 2024
O. Ostapenko
Zhan Su
Edoardo Ponti
Laurent Charlin
Nicolas Le Roux
Matheus Pereira
Lucas Caccia
Alessandro Sordoni
MoMe
260
58
0
18 May 2024
Utilizing Large Language Models for Information Extraction from Real Estate Transactions
Yu Zhao
Haoxiang Gao
Jinghan Cao
Shiqi Yang
AILaw
184
12
0
28 Apr 2024
InterroGate: Learning to Share, Specialize, and Prune Representations for Multi-task Learning
B. Bejnordi
Gaurav Kumar
Amelie Royer
Christos Louizos
Tijmen Blankevoort
Mohsen Ghafoorian
CVBM
257
2
0
26 Feb 2024
Learning to Compose SuperWeights for Neural Parameter Allocation Search
IEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2023
Piotr Teterwak
Soren Nelson
Nikoli Dryden
D. Bashkirova
Kate Saenko
Bryan A. Plummer
287
3
0
03 Dec 2023
FedHCA
2
^2
2
: Towards Hetero-Client Federated Multi-Task Learning
Computer Vision and Pattern Recognition (CVPR), 2023
Yuxiang Lu
Wei Ji
Yuwen Yang
Shalayiding Sirejiding
Yue Ding
Hongtao Lu
FedML
318
22
0
22 Nov 2023
A Survey on Continual Semantic Segmentation: Theory, Challenge, Method and Application
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023
Bo Yuan
Danpei Zhao
3DV
CLL
368
36
0
22 Oct 2023
Parameter-efficient Multi-Task and Multi-Domain Learning using Factorized Tensor Networks
Yash Garg
Nebiyou Yismaw
Rakib Hyder
Ashley Prater-Bennette
M. Salman Asif
195
2
0
09 Oct 2023
Multi-task View Synthesis with Neural Radiance Fields
IEEE International Conference on Computer Vision (ICCV), 2023
Shuhong Zheng
Zhipeng Bao
Martial Hebert
Yu Wang
216
6
0
29 Sep 2023
Budget-Aware Pruning: Handling Multiple Domains with Less Parameters
Pattern Recognition (Pattern Recogn.), 2023
Samuel Felipe dos Santos
Rodrigo Berriel
Thiago Oliveira-Santos
Andrii Zadaianchuk
Jurandy Almeida
VLM
213
1
0
20 Sep 2023
Towards Fully Decoupled End-to-End Person Search
International Conference on Digital Image Computing: Techniques and Applications (DICTA), 2023
Pengcheng Zhang
Xiao Bai
Jingyi Zheng
Xin Ning
227
5
0
10 Sep 2023
Less is More -- Towards parsimonious multi-task models using structured sparsity
Richa Upadhyay
Ronald Phlypo
Rajkumar Saini
Marcus Liwicki
MoE
225
3
0
23 Aug 2023
OFVL-MS: Once for Visual Localization across Multiple Indoor Scenes
IEEE International Conference on Computer Vision (ICCV), 2023
Tao Xie
Kun Dai
Si-Tong Lu
K. Wang
Zhiqiang Jiang
Jin Gao
Dedong Liu
Jinfeng Xu
Lijun Zhao
Rui Li
208
16
0
23 Aug 2023
Prompt Guided Transformer for Multi-Task Dense Prediction
IEEE transactions on multimedia (IEEE TMM), 2023
Yuxiang Lu
Shalayiding Sirejiding
Yue Ding
Chunlin Wang
Hongtao Lu
252
33
0
28 Jul 2023
MDViT: Multi-domain Vision Transformer for Small Medical Image Segmentation Datasets
International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2023
Siyi Du
Nourhan Bayasi
Ghassan Hamarneh
Rafeef Garbi
ViT
300
32
0
05 Jul 2023
JOINEDTrans: Prior Guided Multi-task Transformer for Joint Optic Disc/Cup Segmentation and Fovea Detection
Huaqing He
Li Lin
Zhiyuan Cai
Pujin Cheng
Xiaoying Tang
ViT
MedIm
240
7
0
19 May 2023
Blind Image Quality Assessment via Vision-Language Correspondence: A Multitask Learning Perspective
Computer Vision and Pattern Recognition (CVPR), 2023
Weixia Zhang
Guangtao Zhai
Ying Wei
Yunbo Wang
Kede Ma
VLM
223
319
0
27 Mar 2023
Your representations are in the network: composable and parallel adaptation for large scale models
Neural Information Processing Systems (NeurIPS), 2023
Yonatan Dukler
Alessandro Achille
Hao Yang
Varsha Vivek
Luca Zancato
Benjamin Bowman
Avinash Ravichandran
Charless C. Fowlkes
A. Swaminathan
Stefano Soatto
318
3
0
07 Mar 2023
Scalable Weight Reparametrization for Efficient Transfer Learning
IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2023
Byeonggeun Kim
Juntae Lee
Seunghan Yang
Simyung Chang
OffRL
166
1
0
26 Feb 2023
On Enhancing Expressive Power via Compositions of Single Fixed-Size ReLU Network
International Conference on Machine Learning (ICML), 2023
Shijun Zhang
Jianfeng Lu
Hongkai Zhao
CoGe
225
9
0
29 Jan 2023
Multi-task Bias-Variance Trade-off Through Functional Constraints
IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2022
J. Cerviño
J. Bazerque
Miguel Calvo-Fullana
Alejandro Ribeiro
208
1
0
27 Oct 2022
M
3
^3
3
ViT: Mixture-of-Experts Vision Transformer for Efficient Multi-task Learning with Model-Accelerator Co-design
Neural Information Processing Systems (NeurIPS), 2022
Hanxue Liang
Zhiwen Fan
Rishov Sarkar
Ziyu Jiang
Tianlong Chen
Kai Zou
Yu Cheng
Cong Hao
Zinan Lin
MoE
272
137
0
26 Oct 2022
Budget-Aware Pruning for Multi-Domain Learning
International Conference on Image Analysis and Processing (ICIAP), 2022
Samuel Felipe dos Santos
Rodrigo Berriel
Thiago Oliveira-Santos
Andrii Zadaianchuk
Jurandy Almeida
VLM
232
4
0
14 Oct 2022
Matryoshka Representation Learning
Neural Information Processing Systems (NeurIPS), 2022
Aditya Kusupati
Gantavya Bhatt
Aniket Rege
Matthew Wallingford
Aditya Sinha
...
William Howard-Snyder
Kaifeng Chen
Sham Kakade
Prateek Jain
Ali Farhadi
514
191
0
26 May 2022
Neural Network Architecture Beyond Width and Depth
Neural Information Processing Systems (NeurIPS), 2022
Zuowei Shen
Haizhao Yang
Shijun Zhang
3DV
MDE
499
21
0
19 May 2022
FLUID: A Unified Evaluation Framework for Flexible Sequential Data
Matthew Wallingford
Aditya Kusupati
Keivan Alizadeh Vahid
Aaron Walsman
Aniruddha Kembhavi
Ali Farhadi
353
2
0
06 Jul 2020
1
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