Meta-Learning with Differentiable Convex Optimization

7 April 2019

Papers citing "Meta-Learning with Differentiable Convex Optimization"

50 / 244 papers shown

Title
Exploiting Problem Structure in Deep Declarative Networks: Two Case Studies Stephen Gould Dylan Campbell Itzik Ben-Shabat Chamin Pasidu Hewa Koneputugodage Zhiwei Xu 30 8 0 24 Feb 2022
Few-shot Learning as Cluster-induced Voronoi Diagrams: A Geometric Approach Chunwei Ma Ziyun Huang Mingchen Gao Jinhui Xu 26 4 0 05 Feb 2022
Log-Euclidean Signatures for Intrinsic Distances Between Unaligned Datasets Tal Shnitzer Mikhail Yurochkin Kristjan Greenewald Justin Solomon 41 6 0 03 Feb 2022
Tutorial on amortized optimization Brandon Amos OffRL 78 43 0 01 Feb 2022
EASY: Ensemble Augmented-Shot Y-shaped Learning: State-Of-The-Art Few-Shot Classification with Simple Ingredients Yassir Bendou Yuqing Hu Raphael Lafargue G. Lioi Bastien Pasdeloup S. Pateux Vincent Gripon VLM 44 37 0 24 Jan 2022
Beyond Simple Meta-Learning: Multi-Purpose Models for Multi-Domain, Active and Continual Few-Shot Learning Peyman Bateni Jarred Barber Raghav Goyal Vaden Masrani Jan-Willem van de Meent Leonid Sigal Frank Wood BDL VLM 50 9 0 13 Jan 2022
DDG-DA: Data Distribution Generation for Predictable Concept Drift Adaptation Wendi Li Xiao Yang Weiqing Liu Yingce Xia Jiang Bian DiffM AI4TS 28 51 0 11 Jan 2022
Semantics-driven Attentive Few-shot Learning over Clean and Noisy Samples Orhun Bugra Baran Ramazan Gokberk Cinbics 27 4 0 09 Jan 2022
Learning Differentiable Safety-Critical Control using Control Barrier Functions for Generalization to Novel Environments Hengbo Ma Bike Zhang Masayoshi Tomizuka Koushil Sreenath 20 23 0 04 Jan 2022
Hierarchical Variational Memory for Few-shot Learning Across Domains Yingjun Du Xiantong Zhen Ling Shao Cees G. M. Snoek VLM BDL 48 21 0 15 Dec 2021
Exploring Category-correlated Feature for Few-shot Image Classification Jing Xu Xinglin Pan Xu Luo Wenjie Pei Zenglin Xu 27 4 0 14 Dec 2021
Hybrid Graph Neural Networks for Few-Shot Learning Tianyuan Yu Sen He Yi-Zhe Song Tao Xiang 30 60 0 13 Dec 2021
DiPS: Differentiable Policy for Sketching in Recommender Systems Aritra Ghosh Saayan Mitra Andrew Lan BDL OffRL 21 2 0 08 Dec 2021
Curriculum Meta-Learning for Few-shot Classification Emmanouil Stergiadis Priyanka Agrawal Oliver Squire VLM 25 5 0 06 Dec 2021
Adaptive Poincaré Point to Set Distance for Few-Shot Classification Rongkai Ma Pengfei Fang Tom Drummond Mehrtash Harandi 21 45 0 03 Dec 2021
MDFM: Multi-Decision Fusing Model for Few-Shot Learning Shuai Shao Lei Xing Rui Xu Weifeng Liu Yanjiang Wang Baodi Liu 51 30 0 01 Dec 2021
Few-Shot Object Detection via Association and DIscrimination Yuhang Cao Jiaqi Wang Ying Jin Tong Wu Kai-xiang Chen Ziwei Liu Dahua Lin ObjD 29 82 0 23 Nov 2021
Enhancing Prototypical Few-Shot Learning by Leveraging the Local-Level Strategy Junying Huang Fan Chen Keze Wang Liang Lin Dongyu Zhang 33 8 0 08 Nov 2021
SEGA: Semantic Guided Attention on Visual Prototype for Few-Shot Learning Fengyuan Yang Ruiping Wang Xilin Chen VLM 39 35 0 08 Nov 2021
On sensitivity of meta-learning to support data Mayank Agarwal Mikhail Yurochkin Yuekai Sun 35 20 0 26 Oct 2021
Self-Denoising Neural Networks for Few Shot Learning S. Schwarcz Sai Saketh Rambhatla Ramalingam Chellappa 36 1 0 26 Oct 2021
Omni-Training: Bridging Pre-Training and Meta-Training for Few-Shot Learning Yang Shu Zhangjie Cao Jing Gao Jianmin Wang Philip S. Yu Mingsheng Long 38 11 0 14 Oct 2021
On the Convergence Theory for Hessian-Free Bilevel Algorithms Daouda Sow Kaiyi Ji Yingbin Liang 28 28 0 13 Oct 2021
A Closer Look at Prototype Classifier for Few-shot Image Classification Mingcheng Hou Issei Sato VLM 31 21 0 11 Oct 2021
Unsupervised Representation Learning Meets Pseudo-Label Supervised Self-Distillation: A New Approach to Rare Disease Classification Jinghan Sun Dong Wei Kai Ma Liansheng Wang Yefeng Zheng 32 8 0 09 Oct 2021
The Information Geometry of Unsupervised Reinforcement Learning Benjamin Eysenbach Ruslan Salakhutdinov Sergey Levine SSL OffRL 61 31 0 06 Oct 2021
Learning by Examples Based on Multi-level Optimization Shentong Mo P. Xie 29 0 0 22 Sep 2021
Multi-Domain Few-Shot Learning and Dataset for Agricultural Applications Sai Vidyaranya Nuthalapati Anirudh Tunga 30 32 0 21 Sep 2021
Adversarial Representation Learning With Closed-Form Solvers Bashir Sadeghi Lan Wang Vishnu Boddeti 44 5 0 12 Sep 2021
LibFewShot: A Comprehensive Library for Few-shot Learning Wenbin Li Ziyi Ziyi Wang Xuesong Yang C. Dong ... Jing Huo Yinghuan Shi Lei Wang Yang Gao Jiebo Luo VLM 119 66 0 10 Sep 2021
Highly Scalable and Provably Accurate Classification in Poincare Balls Eli Chien Chao Pan Puoya Tabaghi O. Milenkovic 30 12 0 08 Sep 2021
Binocular Mutual Learning for Improving Few-shot Classification Ziqi Zhou Xi Qiu Jiangtao Xie Jianan Wu Chi Zhang SSL 18 76 0 27 Aug 2021
Adaptation-Agnostic Meta-Training Jiaxin Chen Li-Ming Zhan Xiao-Ming Wu K. F. Chung 37 0 0 24 Aug 2021
Relational Embedding for Few-Shot Classification Dahyun Kang Heeseung Kwon Juhong Min Minsu Cho 39 185 0 22 Aug 2021
Prototype Completion for Few-Shot Learning Baoquan Zhang Xutao Li Yunming Ye Shanshan Feng VLM 68 18 0 11 Aug 2021
The Role of Global Labels in Few-Shot Classification and How to Infer Them Ruohan Wang Massimiliano Pontil C. Ciliberto VLM 41 17 0 09 Aug 2021
Transductive Few-Shot Classification on the Oblique Manifold Guodong Qi Huimin Yu Zhaohui Lu Shuzhao Li 21 45 0 09 Aug 2021
Uniform Sampling over Episode Difficulty Sébastien M. R. Arnold Guneet Singh Dhillon Avinash Ravichandran Stefano Soatto 29 14 0 03 Aug 2021
Bayesian Embeddings for Few-Shot Open World Recognition John Willes James Harrison Ali Harakeh Chelsea Finn Marco Pavone Steven Waslander BDL OffRL 27 18 0 29 Jul 2021
Boosting Few-Shot Classification with View-Learnable Contrastive Learning Xu Luo Yuxuan Chen Liangjiang Wen Lili Pan Zenglin Xu VLM SSL 18 25 0 20 Jul 2021
Property-Aware Relation Networks for Few-Shot Molecular Property Prediction Yaqing Wang Abulikemu Abuduweili Quanming Yao Dejing Dou 42 68 0 16 Jul 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 47 88 0 16 Jul 2021
FLEX: Unifying Evaluation for Few-Shot NLP Jonathan Bragg Arman Cohan Kyle Lo Iz Beltagy 208 104 0 15 Jul 2021
Few-shot Learning with Global Relatedness Decoupled-Distillation Yuanen Zhou Yanrong Guo Shijie Hao Richang Hong Zhen junzha Meng Wang 32 1 0 12 Jul 2021
Evaluating the progress of Deep Reinforcement Learning in the real world: aligning domain-agnostic and domain-specific research J. Luis E. Crawley B. Cameron OffRL 27 6 0 07 Jul 2021
Finding Significant Features for Few-Shot Learning using Dimensionality Reduction M. Mendez-Ruiz Jorge Gonzalez-Zapata G. Ochoa-Ruiz Andres Mendez-Vazquez 43 1 0 06 Jul 2021
Rapid Neural Architecture Search by Learning to Generate Graphs from Datasets Hayeon Lee Eunyoung Hyung Sung Ju Hwang 40 43 0 02 Jul 2021
Cross-domain Few-shot Learning with Task-specific Adapters Weihong Li Xialei Liu Hakan Bilen OOD 34 113 0 01 Jul 2021
Representation based meta-learning for few-shot spoken intent recognition Ashish R. Mittal Samarth Bharadwaj Shreya Khare Saneem A. Chemmengath Karthik Sankaranarayanan Brian Kingsbury 20 12 0 29 Jun 2021
Dizygotic Conditional Variational AutoEncoder for Multi-Modal and Partial Modality Absent Few-Shot Learning Yi Zhang Sheng Huang Xiao-song Peng Dan Yang 33 9 0 28 Jun 2021