Papers citing 'Meta-Curvature'

Title
Prototypical Contrastive Learning For Improved Few-Shot Audio Classification Christos Sgouropoulos Christos Nikou Stefanos Vlachos Vasileios Theiou Christos Foukanelis Theodoros Giannakopoulos VLM 120 0 0 12 Sep 2025
Learnable Loss Geometries with Mirror Descent for Scalable and Convergent Meta-Learning Yilang Zhang Bingcong Li G. Giannakis 127 0 0 02 Sep 2025
Optimization-Inspired Few-Shot Adaptation for Large Language Models Boyan Gao Xin Wang Jianlong Wu David A. Clifton 228 0 0 25 May 2025
CAMEx: Curvature-aware Merging of ExpertsInternational Conference on Learning Representations (ICLR), 2025 Dung V. Nguyen Minh H. Nguyen Luc Q. Nguyen R. Teo T. Nguyen Linh Duy Tran MoMe 299 6 0 26 Feb 2025
Memory-Reduced Meta-Learning with Guaranteed ConvergenceAAAI Conference on Artificial Intelligence (AAAI), 2024 Honglin Yang Ji Ma Xiao Yu 241 0 0 16 Dec 2024
Theoretical Investigations and Practical Enhancements on Tail Task Risk Minimization in Meta LearningNeural Information Processing Systems (NeurIPS), 2024 Yiqin Lv Qi Wang Dong Liang Zheng Xie 251 5 0 30 Oct 2024
Episodic fine-tuning prototypical networks for optimization-based few-shot learning: Application to audio classificationInternational Workshop on Machine Learning for Signal Processing (MLSP), 2024 Xuanyu Zhuang Geoffroy Peeters Gaël Richard 80 1 0 04 Oct 2024
Reducing Variance in Meta-Learning via Laplace Approximation for Regression Tasks Alfredo Reichlin Gustaf Tegnér Miguel Vasco Hang Yin Mårten Björkman Danica Kragic 177 0 0 02 Oct 2024
Black box meta-learning intrinsic rewards for sparse-reward environments Octavio Pappalardo Rodrigo Ramele Juan Miguel Santos OffRL 232 1 0 31 Jul 2024
Designing Time-Series Models With Hypernetworks & Adversarial Portfolios Filip Stanek AI4TS 172 0 0 29 Jul 2024
Meta-Learning Neural Procedural Biases Christian Raymond Qi Chen Bing Xue Mengjie Zhan 233 1 0 12 Jun 2024
Meta-Learning with Versatile Loss Geometries for Fast Adaptation Using Mirror Descent Yilang Zhang Bingcong Li G. Giannakis 269 1 0 20 Dec 2023
Are LSTMs Good Few-Shot Learners?Machine-mediated learning (ML), 2023 Mike Huisman Thomas M. Moerland Aske Plaat Jan N. van Rijn VLM 157 14 0 22 Oct 2023
Subspace Adaptation Prior for Few-Shot LearningMachine-mediated learning (ML), 2023 Mike Huisman Aske Plaat Jan N. van Rijn VLM 178 3 0 13 Oct 2023
A Meta-Learning Perspective on Transformers for Causal Language ModelingAnnual Meeting of the Association for Computational Linguistics (ACL), 2023 Xinbo Wu Lav Varshney 241 8 0 09 Oct 2023
SHOT: Suppressing the Hessian along the Optimization Trajectory for Gradient-Based Meta-LearningNeural Information Processing Systems (NeurIPS), 2023 Junhoo Lee Jayeon Yoo Nojun Kwak 200 2 0 04 Oct 2023
MetaDiff: Meta-Learning with Conditional Diffusion for Few-Shot LearningAAAI Conference on Artificial Intelligence (AAAI), 2023 Baoquan Zhang Chuyao Luo Demin Yu Huiwei Lin Xutao Li Yunming Ye Bowen Zhang DiffM 391 69 0 31 Jul 2023
Stepsize Learning for Policy Gradient Methods in Contextual Markov Decision Processes Luca Sabbioni Francesco Corda Marcello Restelli 155 0 0 13 Jun 2023
Meta Omnium: A Benchmark for General-Purpose Learning-to-LearnComputer Vision and Pattern Recognition (CVPR), 2023 Ondrej Bohdal Yinbing Tian Yongshuo Zong Ruchika Chavhan Da Li Henry Gouk Li Guo Timothy M. Hospedales 251 7 0 12 May 2023
Meta-tuning Loss Functions and Data Augmentation for Few-shot Object DetectionComputer Vision and Pattern Recognition (CVPR), 2023 B. Demirel Orhun Bugra Baran R. G. Cinbis 234 19 0 24 Apr 2023
Meta-Learning with a Geometry-Adaptive PreconditionerComputer Vision and Pattern Recognition (CVPR), 2023 Suhyun Kang Duhun Hwang Moonjung Eo Taesup Kim Wonjong Rhee AI4CE 220 21 0 04 Apr 2023
Meta-Learning Adaptive Loss Functions Christian Raymond Qi Chen Bing Xue Mengjie Zhang 194 5 0 30 Jan 2023
A Closer Look at Few-shot Classification AgainInternational Conference on Machine Learning (ICML), 2023 Xu Luo Hao Wu Ji Zhang Lianli Gao Jing Xu Jingkuan Song 196 69 0 28 Jan 2023
Transformers learn in-context by gradient descentInternational Conference on Machine Learning (ICML), 2022 J. Oswald Eyvind Niklasson E. Randazzo João Sacramento A. Mordvintsev A. Zhmoginov Max Vladymyrov MLT 426 629 0 15 Dec 2022
Transformer-Based Learned OptimizationComputer Vision and Pattern Recognition (CVPR), 2022 Erik Gartner Luke Metz Mykhaylo Andriluka C. Freeman C. Sminchisescu 541 18 0 02 Dec 2022
Self-Destructing Models: Increasing the Costs of Harmful Dual Uses of Foundation ModelsAAAI/ACM Conference on AI, Ethics, and Society (AIES), 2022 Peter Henderson E. Mitchell Christopher D. Manning Dan Jurafsky Chelsea Finn 160 62 0 27 Nov 2022
On Learning Fairness and Accuracy on Multiple SubgroupsNeural Information Processing Systems (NeurIPS), 2022 Changjian Shui Gezheng Xu Qi Chen Jiaqi Li Charles Ling Tal Arbel Boyu Wang Christian Gagné 215 48 0 19 Oct 2022
Learning to Optimize Quasi-Newton Methods Isaac Liao Rumen Dangovski Jakob N. Foerster Marin Soljacic 211 4 0 11 Oct 2022
Unsupervised Few-shot Learning via Deep Laplacian Eigenmaps Kuilin Chen Chi-Guhn Lee SSL 157 4 0 07 Oct 2022
BaseTransformers: Attention over base data-points for One Shot LearningBritish Machine Vision Conference (BMVC), 2022 Mayug Maniparambil Kevin McGuinness Noel E. O'Connor 156 4 0 05 Oct 2022
Few-Shot Learning Meets Transformer: Unified Query-Support Transformers for Few-Shot Classification Xixi Wang Tianlin Li Bo Jiang Bin Luo 235 55 0 26 Aug 2022
Improving Meta-Learning Generalization with Activation-Based Early-Stopping Simon Guiroy C. Pal Gonçalo Mordido Sarath Chandar 179 4 0 03 Aug 2022
On the Subspace Structure of Gradient-Based Meta-Learning Gustaf Tegnér Alfredo Reichlin Hang Yin Mårten Björkman Danica Kragic 190 0 0 08 Jul 2022
Channel Importance Matters in Few-Shot Image ClassificationInternational Conference on Machine Learning (ICML), 2022 Xu Luo Jing Xu Zenglin Xu VLM 221 54 0 16 Jun 2022
On Enforcing Better Conditioned Meta-Learning for Rapid Few-Shot AdaptationNeural Information Processing Systems (NeurIPS), 2022 Markus Hiller Mehrtash Harandi Tom Drummond AI4CE 136 9 0 15 Jun 2022
Sharp-MAML: Sharpness-Aware Model-Agnostic Meta LearningInternational Conference on Machine Learning (ICML), 2022 Momin Abbas Quan-Wu Xiao Lisha Chen Pin-Yu Chen Tianyi Chen 357 97 0 08 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 154 11 0 07 Jun 2022
Robust Meta-learning with Sampling Noise and Label Noise via Eigen-ReptileInternational Conference on Machine Learning (ICML), 2022 Dong Chen Lingfei Wu Siliang Tang Xiao Yun Bo Long Yueting Zhuang VLM NoLa 162 11 0 04 Jun 2022
Meta-ticket: Finding optimal subnetworks for few-shot learning within randomly initialized neural networksNeural Information Processing Systems (NeurIPS), 2022 Daiki Chijiwa Shin'ya Yamaguchi Atsutoshi Kumagai Yasutoshi Ida 209 10 0 31 May 2022
A Comprehensive Survey of Few-shot Learning: Evolution, Applications, Challenges, and OpportunitiesACM Computing Surveys (ACM CSUR), 2022 Yisheng Song Ting-Yuan Wang S. Mondal J. P. Sahoo SLR 272 533 0 13 May 2022
Meta-learning Adaptive Deep Kernel Gaussian Processes for Molecular Property PredictionInternational Conference on Learning Representations (ICLR), 2022 Jiajun He Austin Tripp José Miguel Hernández-Lobato 331 27 0 05 May 2022
Meta-free few-shot learning via representation learning with weight averagingIEEE International Joint Conference on Neural Network (IJCNN), 2022 Kuilin Chen Chi-Guhn Lee 150 6 0 26 Apr 2022
MetaAudio: A Few-Shot Audio Classification BenchmarkInternational Conference on Artificial Neural Networks (ICANN), 2022 Calum Heggan S. Budgett Timothy M. Hospedales Mehrdad Yaghoobi VLM 177 43 0 05 Apr 2022
Meta Mirror Descent: Optimiser Learning for Fast Convergence Boyan Gao Henry Gouk Haebeom Lee Timothy M. Hospedales 169 8 0 05 Mar 2022
Amortized Proximal OptimizationNeural Information Processing Systems (NeurIPS), 2022 Juhan Bae Paul Vicol Jeff Z. HaoChen Roger C. Grosse ODL 281 15 0 28 Feb 2022
Fully Online Meta-Learning Without Task Boundaries Jathushan Rajasegaran Chesea Finn Sergey Levine CLL 100 4 0 01 Feb 2022
Learning where to learn: Gradient sparsity in meta and continual learning J. Oswald Dominic Zhao Seijin Kobayashi Simon Schug Massimo Caccia Nicolas Zucchet João Sacramento CLL 170 53 0 27 Oct 2021
On sensitivity of meta-learning to support data Mayank Agarwal Mikhail Yurochkin Yuekai Sun 164 22 0 26 Oct 2021
Fast Model Editing at ScaleInternational Conference on Learning Representations (ICLR), 2021 E. Mitchell Charles Lin Antoine Bosselut Chelsea Finn Christopher D. Manning KELM 833 446 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 253 5 0 06 Oct 2021