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Meta-Learning with Differentiable Convex Optimization

7 April 2019

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Papers citing "Meta-Learning with Differentiable Convex Optimization"

50 / 336 papers shown

Title
The iNaturalist Sounds Dataset Mustafa Chasmai Alexander Shepard Subhransu Maji Grant Van Horn 31 2 0 31 May 2025
Differentiable Nonlinear Model Predictive Control Jonathan Frey Katrin Baumgärtner G. Frison D. Reinhardt Jasper Hoffmann Leonard Fichtner S. Gros Moritz Diehl 71 0 0 02 May 2025
Chain-of-Thought Textual Reasoning for Few-shot Temporal Action Localization Hongwei Ji Wulian Yun Mengshi Qi Huadong Ma LRM 445 0 0 18 Apr 2025
Analyzing LLMs' Knowledge Boundary Cognition Across Languages Through the Lens of Internal Representations Chenghao Xiao Hou Pong Chan Hao Zhang Mahani Aljunied Lidong Bing Noura Al Moubayed Yu Rong 179 0 0 18 Apr 2025
UAS Visual Navigation in Large and Unseen Environments via a Meta Agent Yuci Han Charles Toth Alper Yilmaz 110 0 0 20 Mar 2025
Brain Inspired Adaptive Memory Dual-Net for Few-Shot Image Classification Kexin Di Xiuxing Li Yuyang Han Ziyu Li Qing Li Xia Wu VLM 110 0 0 10 Mar 2025
Imperative Learning: A Self-supervised Neuro-Symbolic Learning Framework for Robot Autonomy Chen Wang Kaiyi Ji Junyi Geng Zhongqiang Ren Taimeng Fu ... Yi Du Qihang Li Yue Yang Xiao Lin Zhipeng Zhao SSL 160 10 0 28 Jan 2025
How Well Do Self-Supervised Methods Perform in Cross-Domain Few-Shot Learning? Yiyi Zhang Ying Zheng Xiaogang Xu Jun Wang SSL 118 4 0 28 Jan 2025
Geometric Mean Improves Loss For Few-Shot Learning Tong Wu Takumi Kobayashi 160 0 0 24 Jan 2025
CVOCSemRPL: Class-Variance Optimized Clustering, Semantic Information Injection and Restricted Pseudo Labeling based Improved Semi-Supervised Few-Shot Learning Rhythm Baghel Souvik Maji Pratik Mazumder 127 0 0 24 Jan 2025
Enhancing Few-Shot Image Classification through Learnable Multi-Scale Embedding and Attention Mechanisms Fatemeh Askari Amirreza Fateh Mohammad Reza Mohammadi 176 5 0 17 Jan 2025
RW-Net: Enhancing Few-Shot Point Cloud Classification with a Wavelet Transform Projection-based Network Haosheng Zhang Hao Huang 123 0 0 06 Jan 2025
Rethinking Meta-Learning from a Learning Lens Wenwen Qiang Jingyao Wang Chuxiong Sun Hui Xiong Jiangmeng Li 161 3 0 13 Sep 2024
MICM: Rethinking Unsupervised Pretraining for Enhanced Few-shot Learning Zhenyu Zhang Guangyao Chen Yixiong Zou Zhimeng Huang Yuhua Li Ruixuan Li VLM 67 2 0 23 Aug 2024
E2MPL:An Enduring and Efficient Meta Prompt Learning Framework for Few-shot Unsupervised Domain Adaptation Wanqi Yang Haoran Wang Lei Wang Ge Song Yang Gao Yang Gao 90 0 0 04 Jul 2024
First-Order Methods for Linearly Constrained Bilevel Optimization Guy Kornowski Swati Padmanabhan Kai Wang Zhe Zhang S. Sra 155 5 0 18 Jun 2024
Reflecting on the State of Rehearsal-free Continual Learning with Pretrained Models Lukas Thede Karsten Roth Olivier J. Hénaff Matthias Bethge Zeynep Akata CLL 86 5 0 13 Jun 2024
Tiny models from tiny data: Textual and null-text inversion for few-shot distillation Erik Landolsi Fredrik Kahl DiffM 122 1 0 05 Jun 2024
Using Few-Shot Learning to Classify Primary Lung Cancer and Other Malignancy with Lung Metastasis in Cytological Imaging via Endobronchial Ultrasound Procedures Ching-Kai Lin Di-Chun Wei Yun-Chien Cheng 85 0 0 09 Apr 2024
Behavior Alignment via Reward Function Optimization Dhawal Gupta Yash Chandak Scott M. Jordan Philip S. Thomas Bruno Castro da Silva 108 11 0 29 Oct 2023
Revisiting Implicit Differentiation for Learning Problems in Optimal Control Ming Xu Timothy Molloy Stephen Gould 70 7 0 23 Oct 2023
Context-Aware Meta-Learning Christopher Fifty Dennis Duan Ronald G. Junkins Ehsan Amid Jurij Leskovec Christopher Ré Sebastian Thrun LRM VLM MLLM 86 12 0 17 Oct 2023
Detail Reinforcement Diffusion Model: Augmentation Fine-Grained Visual Categorization in Few-Shot Conditions Tianxu Wu Shuo Ye Shuhuang Chen Qinmu Peng Xinge You DiffM 85 3 0 15 Sep 2023
Towards Task Sampler Learning for Meta-Learning Wenwen Qiang Jingyao Wang Xingzhe Su Changwen Zheng Gang Hua Hui Xiong 108 11 0 18 Jul 2023
FILM: How can Few-Shot Image Classification Benefit from Pre-Trained Language Models? Zihao Jiang Yunkai Dang Dong Pang Huishuai Zhang Weiran Huang VLM 89 2 0 09 Jul 2023
Exploring the Space of Key-Value-Query Models with Intention M. Garnelo Wojciech M. Czarnecki 86 8 0 17 May 2023
DAC-MR: Data Augmentation Consistency Based Meta-Regularization for Meta-Learning Jun Shu Xiang Yuan Deyu Meng Zongben Xu 98 4 0 13 May 2023
A Closer Look at Few-Shot 3D Point Cloud Classification Chuangguan Ye Erik Cambria Bo Zhang Tao Chen 3DPC 89 15 0 31 Mar 2023
Scalable Bayesian Meta-Learning through Generalized Implicit Gradients Yilang Zhang Bingcong Li Shi-Ji Gao G. Giannakis BDL 82 11 0 31 Mar 2023
Decomposed Prototype Learning for Few-Shot Scene Graph Generation Xingchen Li Long Chen Guikun Chen Yinfu Feng Yi Yang Jun Xiao 84 7 0 20 Mar 2023
SpatialFormer: Semantic and Target Aware Attentions for Few-Shot Learning Jinxiang Lai Siqian Yang Wenlong Wu Taojing Wu Guannan Jiang ... Jun Liu Bin-Bin Gao Wei Zhang Yuan Xie Chengjie Wang 40 10 0 15 Mar 2023
Relational Multi-Task Learning: Modeling Relations between Data and Tasks Kaidi Cao Jiaxuan You J. Leskovec 59 17 0 14 Mar 2023
Meta-Learning Siamese Network for Few-Shot Text Classification Chengcheng Han Yuh-Shyang Wang Yingnan Fu Xiang Li Minghui Qiu Ming Gao Aoying Zhou VLM 72 5 0 05 Feb 2023
Disambiguation of One-Shot Visual Classification Tasks: A Simplex-Based Approach Yassir Bendou Lucas Drumetz Vincent Gripon G. Lioi Bastien Pasdeloup 87 1 0 16 Jan 2023
P3DC-Shot: Prior-Driven Discrete Data Calibration for Nearest-Neighbor Few-Shot Classification Shuang Wang Rui Ma Tieru Wu Yang Cao 91 5 0 02 Jan 2023
Generalization Bounds for Few-Shot Transfer Learning with Pretrained Classifiers Tomer Galanti András Gyorgy Marcus Hutter VLM SSL 67 4 0 23 Dec 2022
Principled and Efficient Transfer Learning of Deep Models via Neural Collapse Xiao Li Sheng Liu Jin-li Zhou Xin Lu C. Fernandez‐Granda Zhihui Zhu Q. Qu AAML 97 20 0 23 Dec 2022
Robust Meta-Representation Learning via Global Label Inference and Classification Ruohan Wang Isak Falk Massimiliano Pontil C. Ciliberto 106 3 0 22 Dec 2022
Transformers learn in-context by gradient descent J. Oswald Eyvind Niklasson E. Randazzo João Sacramento A. Mordvintsev A. Zhmoginov Max Vladymyrov MLT 148 496 0 15 Dec 2022
A Statistical Model for Predicting Generalization in Few-Shot Classification Yassir Bendou Vincent Gripon Bastien Pasdeloup Lukas Mauch Stefan Uhlich Fabien Cardinaux G. B. Hacene Javier Alonso García 87 2 0 13 Dec 2022
Multimodal Prototype-Enhanced Network for Few-Shot Action Recognition Xin Ni Yong Liu Hao Wen Yatai Ji Jing Xiao Yujiu Yang 108 12 0 09 Dec 2022
Learning Domain Invariant Prompt for Vision-Language Models Cairong Zhao Yubin Wang Xinyang Jiang Yifei Shen Kaitao Song Dongsheng Li Duoqian Miao VLM VPVLM 90 27 0 08 Dec 2022
Better Generalized Few-Shot Learning Even Without Base Data Seongwoong Kim Dong-Wan Choi 73 8 0 29 Nov 2022
Rethinking the Number of Shots in Robust Model-Agnostic Meta-Learning Xiaoyue Duan Guoliang Kang Runqi Wang Shumin Han Shenjun Xue Tian Wang Baochang Zhang 69 2 0 28 Nov 2022
A Maximum Log-Likelihood Method for Imbalanced Few-Shot Learning Tasks Samuel Hess G. Ditzler 140 2 0 26 Nov 2022
Robust Few-shot Learning Without Using any Adversarial Samples Gaurav Kumar Nayak Ruchit Rawal Inder Khatri Anirban Chakraborty AAML 58 2 0 03 Nov 2022
Alleviating the Sample Selection Bias in Few-shot Learning by Removing Projection to the Centroid Jing Xu Xu Luo Xinglin Pan Wenjie Pei Yanan Li Zenglin Xu 84 23 0 30 Oct 2022
SurCo: Learning Linear Surrogates For Combinatorial Nonlinear Optimization Problems Aaron Ferber Taoan Huang Daochen Zha M. Schubert Benoit Steiner B. Dilkina Yuandong Tian 98 22 0 22 Oct 2022
Learning Transferable Adversarial Robust Representations via Multi-view Consistency Minseon Kim Hyeonjeong Ha Dong Bok Lee Sung Ju Hwang 69 0 0 19 Oct 2022
Few-Shot Learning of Compact Models via Task-Specific Meta Distillation Yong Wu Shekhor Chanda M. Hosseinzadeh Zhi Liu Yang Wang VLM 105 8 0 18 Oct 2022