Meta-Curvature

9 February 2019

Junier B. Oliva

Papers citing "Meta-Curvature"

40 / 40 papers shown

Title
CAMEx: Curvature-aware Merging of Experts Dung V. Nguyen Minh H. Nguyen Luc Q. Nguyen R. Teo T. Nguyen Linh Duy Tran MoMe 104 2 0 26 Feb 2025
MetaDiff: Meta-Learning with Conditional Diffusion for Few-Shot Learning Baoquan Zhang Chuyao Luo Demin Yu Huiwei Lin Xutao Li Yunming Ye Bowen Zhang DiffM 40 44 0 31 Jul 2023
Meta-Learning with a Geometry-Adaptive Preconditioner Suhyun Kang Duhun Hwang Moonjung Eo Taesup Kim Wonjong Rhee AI4CE 37 15 0 04 Apr 2023
Online Loss Function Learning Christian Raymond Qi Chen Bing Xue Mengjie Zhang 38 5 0 30 Jan 2023
A Closer Look at Few-shot Classification Again Xu Luo Hao Wu Ji Zhang Lianli Gao Jing Xu Jingkuan Song 24 48 0 28 Jan 2023
Transformer-Based Learned Optimization Erik Gartner Luke Metz Mykhaylo Andriluka C. Freeman C. Sminchisescu 23 11 0 02 Dec 2022
Self-Destructing Models: Increasing the Costs of Harmful Dual Uses of Foundation Models Peter Henderson E. Mitchell Christopher D. Manning Dan Jurafsky Chelsea Finn 23 47 0 27 Nov 2022
On Learning Fairness and Accuracy on Multiple Subgroups Changjian Shui Gezheng Xu Qi Chen Jiaqi Li Charles Ling Tal Arbel Boyu Wang Christian Gagné 46 37 0 19 Oct 2022
Unsupervised Few-shot Learning via Deep Laplacian Eigenmaps Kuilin Chen Chi-Guhn Lee SSL 40 3 0 07 Oct 2022
BaseTransformers: Attention over base data-points for One Shot Learning Mayug Maniparambil Kevin McGuinness Noel E. O'Connor 34 3 0 05 Oct 2022
Improving Meta-Learning Generalization with Activation-Based Early-Stopping Simon Guiroy C. Pal Gonçalo Mordido Sarath Chandar 38 3 0 03 Aug 2022
On Enforcing Better Conditioned Meta-Learning for Rapid Few-Shot Adaptation Markus Hiller Mehrtash Harandi Tom Drummond AI4CE 36 8 0 15 Jun 2022
Few-Shot Learning by Dimensionality Reduction in Gradient Space M. Gauch M. Beck Thomas Adler D. Kotsur Stefan Fiel ... Markus Holzleitner Werner Zellinger D. Klotz Sepp Hochreiter Sebastian Lehner 46 9 0 07 Jun 2022
Robust Meta-learning with Sampling Noise and Label Noise via Eigen-Reptile Dong Chen Lingfei Wu Siliang Tang Xiao Yun Bo Long Yueting Zhuang VLM NoLa 31 9 0 04 Jun 2022
A Comprehensive Survey of Few-shot Learning: Evolution, Applications, Challenges, and Opportunities Yisheng Song Ting-Yuan Wang S. Mondal J. P. Sahoo SLR 50 344 0 13 May 2022
MetaAudio: A Few-Shot Audio Classification Benchmark Calum Heggan S. Budgett Timothy M. Hospedales Mehrdad Yaghoobi VLM 41 32 0 05 Apr 2022
Meta Mirror Descent: Optimiser Learning for Fast Convergence Boyan Gao Henry Gouk Haebeom Lee Timothy M. Hospedales 27 6 0 05 Mar 2022
Amortized Proximal Optimization Juhan Bae Paul Vicol Jeff Z. HaoChen Roger C. Grosse ODL 27 14 0 28 Feb 2022
Fast Model Editing at Scale E. Mitchell Charles Lin Antoine Bosselut Chelsea Finn Christopher D. Manning KELM 230 343 0 21 Oct 2021
Online Hyperparameter Meta-Learning with Hypergradient Distillation Haebeom Lee Hayeon Lee Jaewoong Shin Eunho Yang Timothy M. Hospedales Sung Ju Hwang DD 42 2 0 06 Oct 2021
Towards Gradient-based Bilevel Optimization with Non-convex Followers and Beyond Risheng Liu Yaohua Liu Shangzhi Zeng Jin Zhang 24 80 0 01 Oct 2021
Bootstrapped Meta-Learning Sebastian Flennerhag Yannick Schroecker Tom Zahavy Hado van Hasselt David Silver Satinder Singh 38 59 0 09 Sep 2021
Transductive Few-Shot Classification on the Oblique Manifold Guodong Qi Huimin Yu Zhaohui Lu Shuzhao Li 19 45 0 09 Aug 2021
Rectifying the Shortcut Learning of Background for Few-Shot Learning Xu Luo Longhui Wei Liangjiang Wen Jinrong Yang Lingxi Xie Zenglin Xu Qi Tian 45 87 0 16 Jul 2021
A Channel Coding Benchmark for Meta-Learning Rui Li Ondrej Bohdal Rajesh K. Mishra Hyeji Kim Da Li Nicholas D. Lane Timothy M. Hospedales 31 9 0 15 Jul 2021
Stateless Neural Meta-Learning using Second-Order Gradients Mike Huisman Aske Plaat Jan N. van Rijn 32 7 0 21 Apr 2021
Investigating Bi-Level Optimization for Learning and Vision from a Unified Perspective: A Survey and Beyond Risheng Liu Jiaxin Gao Jin Zhang Deyu Meng Zhouchen Lin AI4CE 59 222 0 27 Jan 2021
Personalized Adaptive Meta Learning for Cold-start User Preference Prediction Runsheng Yu Yu Gong Xu He Bo An Yu Zhu Qingwen Liu Wenwu Ou 28 57 0 22 Dec 2020
Improving Few-Shot Learning through Multi-task Representation Learning Theory Quentin Bouniot I. Redko Romaric Audigier Angélique Loesch Amaury Habrard 45 10 0 05 Oct 2020
Dataset Bias in Few-shot Image Recognition Shuqiang Jiang Yaohui Zhu Chenlong Liu Xinhang Song Xiangyang Li Weiqing Min 29 22 0 18 Aug 2020
Improving Generalization in Meta-learning via Task Augmentation Huaxiu Yao Long-Kai Huang Linjun Zhang Ying Wei Li Tian James Zou Junzhou Huang Z. Li 50 81 0 26 Jul 2020
Meta-Learning in Neural Networks: A Survey Timothy M. Hospedales Antreas Antoniou P. Micaelli Amos Storkey OOD 76 1,935 0 11 Apr 2020
Incremental Object Detection via Meta-Learning K. J. Joseph Jathushan Rajasegaran Salman Khan Fahad Shahbaz Khan V. Balasubramanian ObjD CLL VLM 177 98 0 17 Mar 2020
Meta-Neighborhoods Siyuan Shan Yang Li Junier Oliva 27 13 0 18 Sep 2019
Modular Meta-Learning with Shrinkage Yutian Chen A. Friesen Feryal M. P. Behbahani Arnaud Doucet David Budden Matthew W. Hoffman Nando de Freitas KELM OffRL 23 35 0 12 Sep 2019
Bilevel Programming for Hyperparameter Optimization and Meta-Learning Luca Franceschi P. Frasconi Saverio Salzo Riccardo Grazzi Massimiliano Pontil 110 717 0 13 Jun 2018
Delta-encoder: an effective sample synthesis method for few-shot object recognition Eli Schwartz Leonid Karlinsky J. Shtok Sivan Harary Mattias Marder Rogerio Feris Abhishek Kumar Raja Giryes A. Bronstein 192 351 0 12 Jun 2018
Bayesian Model-Agnostic Meta-Learning Taesup Kim Jaesik Yoon Ousmane Amadou Dia Sungwoong Kim Yoshua Bengio Sungjin Ahn UQCV BDL 222 498 0 11 Jun 2018
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 383 11,700 0 09 Mar 2017
Neural Architecture Search with Reinforcement Learning Barret Zoph Quoc V. Le 271 5,327 0 05 Nov 2016