Universal Representation Learning from Multiple Domains for Few-shot Classification

25 March 2021

Papers citing "Universal Representation Learning from Multiple Domains for Few-shot Classification"

47 / 47 papers shown

Title
Understanding Optimal Feature Transfer via a Fine-Grained Bias-Variance Analysis Yufan Li Subhabrata Sen Ben Adlam MLT 110 1 0 18 Apr 2024
Flatness Improves Backbone Generalisation in Few-shot Classification Rui Li Martin Trapp Talal Alrawajfeh Arno Solin 83 0 0 11 Apr 2024
Fine-tuning with Very Large Dropout Jianyu Zhang Léon Bottou 69 1 0 01 Mar 2024
AI-based association analysis for medical imaging using latent-space geometric confounder correction Xianjing Liu Yue Liu Meike W. Vernooij E. Wolvius Gennady V. Roshchupkin Esther E. Bron MedIm 65 0 0 03 Oct 2023
Deep Learning for Cross-Domain Few-Shot Visual Recognition: A Survey Huali Xu Shuaifeng Zhi Shuzhou Sun Vishal M. Patel Li Liu 76 13 0 15 Mar 2023
Towards Understanding Knowledge Distillation Mary Phuong Christoph H. Lampert 50 314 0 27 May 2021
Do Wide and Deep Networks Learn the Same Things? Uncovering How Neural Network Representations Vary with Width and Depth Thao Nguyen M. Raghu Simon Kornblith OOD 26 271 0 29 Oct 2020
CrossTransformers: spatially-aware few-shot transfer Carl Doersch Ankush Gupta Andrew Zisserman ViT 232 333 0 22 Jul 2020
Knowledge Distillation for Multi-task Learning Weihong Li Hakan Bilen MoMe 25 72 0 14 Jul 2020
A Universal Representation Transformer Layer for Few-Shot Image Classification Lu Liu William L. Hamilton Guodong Long Jing Jiang Hugo Larochelle ViT 68 125 0 21 Jun 2020
TaskNorm: Rethinking Batch Normalization for Meta-Learning J. Bronskill Jonathan Gordon James Requeima Sebastian Nowozin Richard Turner 77 89 0 06 Mar 2020
Optimized Generic Feature Learning for Few-shot Classification across Domains Tonmoy Saikia Thomas Brox Cordelia Schmid VLM 41 48 0 22 Jan 2020
Gradient Surgery for Multi-Task Learning Tianhe Yu Saurabh Kumar Abhishek Gupta Sergey Levine Karol Hausman Chelsea Finn 91 1,190 0 19 Jan 2020
Improved Few-Shot Visual Classification Peyman Bateni Raghav Goyal Vaden Masrani Frank Wood Leonid Sigal VLM 33 229 0 07 Dec 2019
PyTorch: An Imperative Style, High-Performance Deep Learning Library Adam Paszke Sam Gross Francisco Massa Adam Lerer James Bradbury ... Sasank Chilamkurthy Benoit Steiner Lu Fang Junjie Bai Soumith Chintala ODL 181 42,038 0 03 Dec 2019
Graph Representation Learning via Multi-task Knowledge Distillation Jiaqi Ma Qiaozhu Mei 39 18 0 11 Nov 2019
Contrastive Representation Distillation Yonglong Tian Dilip Krishnan Phillip Isola 83 1,037 0 23 Oct 2019
A Baseline for Few-Shot Image Classification Guneet Singh Dhillon Pratik Chaudhari Avinash Ravichandran Stefano Soatto 46 578 0 06 Sep 2019
BAM! Born-Again Multi-Task Networks for Natural Language Understanding Kevin Clark Minh-Thang Luong Urvashi Khandelwal Christopher D. Manning Quoc V. Le 49 228 0 10 Jul 2019
Fast and Flexible Multi-Task Classification Using Conditional Neural Adaptive Processes James Requeima Jonathan Gordon J. Bronskill Sebastian Nowozin Richard Turner 43 241 0 18 Jun 2019
Similarity of Neural Network Representations Revisited Simon Kornblith Mohammad Norouzi Honglak Lee Geoffrey E. Hinton 115 1,382 0 01 May 2019
A Closer Look at Few-shot Classification Wei-Yu Chen Yen-Cheng Liu Z. Kira Y. Wang Jia-Bin Huang 86 1,756 0 08 Apr 2019
Learning Metrics from Teachers: Compact Networks for Image Embedding Lu Yu V. O. Yazici Xialei Liu Joost van de Weijer Yongmei Cheng Arnau Ramisa 30 105 0 07 Apr 2019
Meta-Dataset: A Dataset of Datasets for Learning to Learn from Few Examples Eleni Triantafillou Tyler Lixuan Zhu Vincent Dumoulin Pascal Lamblin Utku Evci ... Ross Goroshin Carles Gelada Kevin Swersky Pierre-Antoine Manzagol Hugo Larochelle 109 614 0 07 Mar 2019
How to train your MAML Antreas Antoniou Harrison Edwards Amos Storkey 44 771 0 22 Oct 2018
Born Again Neural Networks Tommaso Furlanello Zachary Chase Lipton Michael Tschannen Laurent Itti Anima Anandkumar 55 1,030 0 12 May 2018
Efficient parametrization of multi-domain deep neural networks Sylvestre-Alvise Rebuffi Hakan Bilen Andrea Vedaldi OOD 54 363 0 27 Mar 2018
On First-Order Meta-Learning Algorithms Alex Nichol Joshua Achiam John Schulman 194 2,226 0 08 Mar 2018
Meta-Learning for Semi-Supervised Few-Shot Classification Mengye Ren Eleni Triantafillou S. S. Ravi Jake C. Snell Kevin Swersky J. Tenenbaum Hugo Larochelle R. Zemel SSL 48 1,278 0 02 Mar 2018
Learning to Compare: Relation Network for Few-Shot Learning Flood Sung Yongxin Yang Li Zhang Tao Xiang Philip Torr Timothy M. Hospedales 183 4,035 0 16 Nov 2017
GradNorm: Gradient Normalization for Adaptive Loss Balancing in Deep Multitask Networks Zhao Chen Vijay Badrinarayanan Chen-Yu Lee Andrew Rabinovich ODL 93 1,272 0 07 Nov 2017
FiLM: Visual Reasoning with a General Conditioning Layer Ethan Perez Florian Strub H. D. Vries Vincent Dumoulin Aaron Courville FAtt AIMat OffRL AI4CE 237 2,178 0 22 Sep 2017
Learning multiple visual domains with residual adapters Sylvestre-Alvise Rebuffi Hakan Bilen Andrea Vedaldi OOD 71 924 0 22 May 2017
Multi-Task Learning Using Uncertainty to Weigh Losses for Scene Geometry and Semantics Alex Kendall Y. Gal R. Cipolla 3DH 179 3,093 0 19 May 2017
Prototypical Networks for Few-shot Learning Jake C. Snell Kevin Swersky R. Zemel 193 8,072 0 15 Mar 2017
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 748 11,793 0 09 Mar 2017
Universal representations:The missing link between faces, text, planktons, and cat breeds Hakan Bilen Andrea Vedaldi 49 147 0 25 Jan 2017
Matching Networks for One Shot Learning Oriol Vinyals Charles Blundell Timothy Lillicrap Koray Kavukcuoglu Daan Wierstra VLM 264 7,286 0 13 Jun 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 1.2K 192,638 0 10 Dec 2015
Deep Metric Learning via Lifted Structured Feature Embedding Hyun Oh Song Yu Xiang Stefanie Jegelka Silvio Savarese FedML SSL DML 57 1,641 0 19 Nov 2015
Distilling the Knowledge in a Neural Network Geoffrey E. Hinton Oriol Vinyals J. Dean FedML 169 19,448 0 09 Mar 2015
FitNets: Hints for Thin Deep Nets Adriana Romero Nicolas Ballas Samira Ebrahimi Kahou Antoine Chassang C. Gatta Yoshua Bengio FedML 214 3,862 0 19 Dec 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 952 39,383 0 01 Sep 2014
Microsoft COCO: Common Objects in Context Nayeon Lee Michael Maire Serge J. Belongie Lubomir Bourdev Ross B. Girshick James Hays Pietro Perona Deva Ramanan C. L. Zitnick Piotr Dollár ObjD 215 43,290 0 01 May 2014
Describing Textures in the Wild Mircea Cimpoi Subhransu Maji Iasonas Kokkinos S. Mohamed Andrea Vedaldi 3DV 76 2,632 0 14 Nov 2013
Fine-Grained Visual Classification of Aircraft Subhransu Maji Esa Rahtu Arno Solin Matthew Blaschko Andrea Vedaldi 61 2,227 0 21 Jun 2013
ADADELTA: An Adaptive Learning Rate Method Matthew D. Zeiler ODL 93 6,619 0 22 Dec 2012