Auxiliary Learning by Implicit Differentiation

22 June 2020

Papers citing "Auxiliary Learning by Implicit Differentiation"

41 / 41 papers shown

Title
Adversarial Robustness in Parameter-Space Classifiers Tamir Shor Ethan Fetaya Chaim Baskin A. Bronstein AAML OOD 192 0 0 27 Feb 2025
Transforming Vision Transformer: Towards Efficient Multi-Task Asynchronous Learning Hanwen Zhong Jiaxin Chen Yutong Zhang Di Huang Yunhong Wang MoE 42 0 0 12 Jan 2025
Selecting the Best Sequential Transfer Path for Medical Image Segmentation with Limited Labeled Data Jingyun Yang Jun Wang Guoqing Zhang Yang Li 26 1 0 09 Oct 2024
Learning Representation for Multitask learning through Self Supervised Auxiliary learning Seokwon Shin Hyungrok Do Youngdoo Son SSL 26 1 0 25 Sep 2024
Aux-NAS: Exploiting Auxiliary Labels with Negligibly Extra Inference Cost Yuan Gao Weizhong Zhang Wenhan Luo Lin Ma Jin-Gang Yu Gui-Song Xia Jiayi Ma 34 1 0 09 May 2024
Meta-Auxiliary Learning for Micro-Expression Recognition Wenwen Qiang Yunhan Tian Yuxuan Yang Xiaoxin Chen Changwen Zheng Jingyao Wang 55 7 0 18 Apr 2024
Data-Driven Preference Sampling for Pareto Front Learning Rongguang Ye Lei Chen Weiduo Liao Jinyuan Zhang H. Ishibuchi 33 2 0 12 Apr 2024
Functional Bilevel Optimization for Machine Learning Ieva Petrulionyte Julien Mairal Michael Arbel 51 2 0 29 Mar 2024
Multi Task Inverse Reinforcement Learning for Common Sense Reward Neta Glazer Aviv Navon Aviv Shamsian Ethan Fetaya 27 0 0 17 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
Enhancing Molecular Property Prediction with Auxiliary Learning and Task-Specific Adaptation Vishal Dey Xia Ning AAML AI4CE 29 0 0 29 Jan 2024
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
FedL2P: Federated Learning to Personalize Royson Lee Minyoung Kim Da Li Xinchi Qiu Timothy M. Hospedales Ferenc Huszár Nicholas D. Lane FedML 18 0 0 03 Oct 2023
No Data Augmentation? Alternative Regularizations for Effective Training on Small Datasets Lorenzo Brigato S. Mougiakakou 27 3 0 04 Sep 2023
MELTR: Meta Loss Transformer for Learning to Fine-tune Video Foundation Models Dohwan Ko Joon-Young Choi Hyeong Kyu Choi Kyoung-Woon On Byungseok Roh Hyunwoo J. Kim 52 19 0 23 Mar 2023
Prismer: A Vision-Language Model with Multi-Task Experts Shikun Liu Linxi Fan Edward Johns Zhiding Yu Chaowei Xiao Anima Anandkumar VLM MLLM 44 21 0 04 Mar 2023
Unified Convergence Theory of Stochastic and Variance-Reduced Cubic Newton Methods El Mahdi Chayti N. Doikov Martin Jaggi ODL 27 5 0 23 Feb 2023
Improving Few-Shot Generalization by Exploring and Exploiting Auxiliary Data Alon Albalak Colin Raffel William Yang Wang 19 12 0 01 Feb 2023
Auxiliary Learning as an Asymmetric Bargaining Game Aviv Shamsian Aviv Navon Neta Glazer Kenji Kawaguchi Gal Chechik Ethan Fetaya 35 8 0 31 Jan 2023
ForkMerge: Mitigating Negative Transfer in Auxiliary-Task Learning Junguang Jiang Baixu Chen Junwei Pan Ximei Wang Liu Dapeng Jie Jiang Mingsheng Long MoMe 29 20 0 30 Jan 2023
Image Classification with Small Datasets: Overview and Benchmark Lorenzo Brigato Björn Barz Luca Iocchi Joachim Denzler VLM 30 17 0 23 Dec 2022
Context Label Learning: Improving Background Class Representations in Semantic Segmentation Zeju Li Konstantinos Kamnitsas Cheng Ouyang Chen Chen Ben Glocker VLM 30 6 0 16 Dec 2022
AdaTask: A Task-aware Adaptive Learning Rate Approach to Multi-task Learning Enneng Yang Junwei Pan Ximei Wang Haibin Yu Li Shen Xihua Chen Lei Xiao Jie Jiang G. Guo 38 43 0 28 Nov 2022
Towards Optimization and Model Selection for Domain Generalization: A Mixup-guided Solution Wang Lu Jindong Wang Yidong Wang Xingxu Xie OOD 24 5 0 01 Sep 2022
Benchmarking Visual-Inertial Deep Multimodal Fusion for Relative Pose Regression and Odometry-aided Absolute Pose Regression Felix Ott N. Raichur David Rügamer Tobias Feigl Heiko Neumann Bernd Bischl Christopher Mutschler 31 1 0 01 Aug 2022
Optimization with Access to Auxiliary Information El Mahdi Chayti Sai Praneeth Karimireddy AAML 17 10 0 01 Jun 2022
AANG: Automating Auxiliary Learning Lucio Dery Paul Michel M. Khodak Graham Neubig Ameet Talwalkar 41 9 0 27 May 2022
Adaptive Mixing of Auxiliary Losses in Supervised Learning D. Sivasubramanian Ayush Maheshwari Pradeep Shenoy A. Prathosh Ganesh Ramakrishnan 29 5 0 07 Feb 2022
Auto-Lambda: Disentangling Dynamic Task Relationships Shikun Liu Stephen James Andrew J. Davison Edward Johns 37 75 0 07 Feb 2022
Multi-Task Learning as a Bargaining Game Aviv Navon Aviv Shamsian Idan Achituve Haggai Maron Kenji Kawaguchi Gal Chechik Ethan Fetaya 25 140 0 02 Feb 2022
Pareto Domain Adaptation Fangrui Lv Jian Liang Kaixiong Gong Shuang Li Chi Harold Liu Han Li Di Liu Guoren Wang 15 31 0 08 Dec 2021
Auxiliary Learning for Self-Supervised Video Representation via Similarity-based Knowledge Distillation Amirhossein Dadashzadeh Alan Whone Majid Mirmehdi SSL 21 4 0 07 Dec 2021
Linear Speedup in Personalized Collaborative Learning El Mahdi Chayti Sai Praneeth Karimireddy Sebastian U. Stich Nicolas Flammarion Martin Jaggi FedML 18 13 0 10 Nov 2021
Meta-Learning to Improve Pre-Training Aniruddh Raghu Jonathan Lorraine Simon Kornblith Matthew B. A. McDermott David Duvenaud 19 30 0 02 Nov 2021
Should We Be Pre-training? An Argument for End-task Aware Training as an Alternative Lucio Dery Paul Michel Ameet Talwalkar Graham Neubig CLL 28 35 0 15 Sep 2021
Teaching with Commentaries Aniruddh Raghu M. Raghu Simon Kornblith David Duvenaud Geoffrey E. Hinton 17 24 0 05 Nov 2020
Learning the Pareto Front with Hypernetworks Aviv Navon Aviv Shamsian Gal Chechik Ethan Fetaya 19 139 0 08 Oct 2020
Unsupervised Multi-Task Feature Learning on Point Clouds Kaveh Hassani Mike Haley SSL 3DPC 117 194 0 18 Oct 2019
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 362 11,700 0 09 Mar 2017
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation Vijay Badrinarayanan Alex Kendall R. Cipolla SSeg 446 15,645 0 02 Nov 2015
Indoor Semantic Segmentation using depth information Camille Couprie C. Farabet Laurent Najman Yann LeCun SSeg MDE 91 473 0 16 Jan 2013