v1v2v3 (latest)

Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks

9 March 2017

Pieter Abbeel

Papers citing "Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks"

50 / 5,505 papers shown

Title
Few-shot model-based adaptation in noisy conditions Karol Arndt Ali Ghadirzadeh Murtaza Hazara Ville Kyrki 62 8 0 16 Oct 2020
Training Data Generating Networks: Shape Reconstruction via Bi-level Optimization Biao Zhang Peter Wonka 3DPC 60 4 0 16 Oct 2020
Overfitting or Underfitting? Understand Robustness Drop in Adversarial Training Zichao Li Liyuan Liu Chengyu Dong Jingbo Shang AAML 79 8 0 15 Oct 2020
An Empowerment-based Solution to Robotic Manipulation Tasks with Sparse Rewards Siyu Dai Wenyuan Xu Andreas G. Hofmann B. Williams 97 8 0 15 Oct 2020
Bilevel Optimization: Convergence Analysis and Enhanced Design Kaiyi Ji Junjie Yang Yingbin Liang 217 262 0 15 Oct 2020
Bi-level Score Matching for Learning Energy-based Latent Variable Models Fan Bao Chongxuan Li Kun Xu Hang Su Jun Zhu Bo Zhang 83 14 0 15 Oct 2020
Self-training for Few-shot Transfer Across Extreme Task Differences Cheng Perng Phoo B. Hariharan SSL 128 109 0 15 Oct 2020
Theoretical bounds on estimation error for meta-learning James Lucas Mengye Ren Irene Kameni T. Pitassi R. Zemel 51 12 0 14 Oct 2020
Function Contrastive Learning of Transferable Meta-Representations Muhammad Waleed Gondal S. Joshi Nasim Rahaman Stefan Bauer Manuel Wüthrich Bernhard Schölkopf SSL 61 19 0 14 Oct 2020
Data Augmentation for Meta-Learning Renkun Ni Micah Goldblum Amr Sharaf Kezhi Kong Tom Goldstein 93 77 0 14 Oct 2020
Cross-Domain Few-Shot Learning by Representation Fusion Thomas Adler Johannes Brandstetter Michael Widrich Andreas Mayr David P. Kreil Michael K Kopp Günter Klambauer Sepp Hochreiter OOD 101 45 0 13 Oct 2020
Model-Based Reinforcement Learning for Type 1Diabetes Blood Glucose Control Taku Yamagata A. O'Kane Amid Ayobi Dmitri S. Katz Katarzyna Stawarz P. Marshall Peter A. Flach Raúl Santos-Rodríguez University of Bristol OOD BDL OffRL 47 10 0 13 Oct 2020
Few-shot Action Recognition with Implicit Temporal Alignment and Pair Similarity Optimization Congqi Cao Yajuan Li Qinyi Lv Peng Wang Yanning Zhang 64 32 0 13 Oct 2020
Model Selection for Cross-Lingual Transfer Yang Chen Alan Ritter 78 12 0 13 Oct 2020
AttendLight: Universal Attention-Based Reinforcement Learning Model for Traffic Signal Control Afshin Oroojlooy M. Nazari Davood Hajinezhad Jorge Silva 69 87 0 12 Oct 2020
TUTOR: Training Neural Networks Using Decision Rules as Model Priors Shayan Hassantabar Prerit Terway N. Jha 92 10 0 12 Oct 2020
Meta-Active Learning for Node Response Prediction in Graphs Tomoharu Iwata 25 0 0 12 Oct 2020
Generalized Few-shot Semantic Segmentation Zhuotao Tian Xin Lai Li Jiang Shu Liu Michelle Shu Hengshuang Zhao Jiaya Jia VLM 95 82 0 11 Oct 2020
Adaptive Aggregation Networks for Class-Incremental Learning Yaoyao Liu Bernt Schiele Qianru Sun CLL 113 222 0 10 Oct 2020
Instance Weighted Incremental Evolution Strategies for Reinforcement Learning in Dynamic Environments Zhi Wang Chunlin Chen D. Dong 51 12 0 09 Oct 2020
Learning Not to Learn: Nature versus Nurture in Silico R. T. Lange Henning Sprekeler 80 10 0 09 Oct 2020
A Survey of Knowledge-Enhanced Text Generation Wenhao Yu Chenguang Zhu Zaitang Li Zhiting Hu Qingyun Wang Heng Ji Meng Jiang 132 291 0 09 Oct 2020
Few-shot Learning for Spatial Regression Tomoharu Iwata Yusuke Tanaka 98 11 0 09 Oct 2020
Addressing the Real-world Class Imbalance Problem in Dermatology W. Weng Jonathan Deaton Vivek Natarajan Gamaleldin F. Elsayed Yuan Liu 62 14 0 09 Oct 2020
Hierarchical Classification of Pulmonary Lesions: A Large-Scale Radio-Pathomics Study Jiancheng Yang Mingze Gao Kaiming Kuang Bingbing Ni Y. She D. Xie Chang Chen 22 7 0 08 Oct 2020
Low-Resource Domain Adaptation for Compositional Task-Oriented Semantic Parsing Xilun Chen Asish Ghoshal Yashar Mehdad Luke Zettlemoyer S. Gupta 94 90 0 07 Oct 2020
A Survey of Deep Meta-Learning Mike Huisman Jan N. van Rijn Aske Plaat 205 335 0 07 Oct 2020
Variational Feature Disentangling for Fine-Grained Few-Shot Classification Aoxiang Fan Hieu M. Le Mingzhen Huang ShahRukh Athar Dimitris Samaras DRL 57 55 0 07 Oct 2020
On Negative Interference in Multilingual Models: Findings and A Meta-Learning Treatment Zirui Wang Zachary Chase Lipton Yulia Tsvetkov 93 32 0 06 Oct 2020
Dif-MAML: Decentralized Multi-Agent Meta-Learning Mert Kayaalp Stefan Vlaski Ali H. Sayed 50 29 0 06 Oct 2020
CURI: A Benchmark for Productive Concept Learning Under Uncertainty Ramakrishna Vedantam Arthur Szlam Maximilian Nickel Ari S. Morcos Brenden M. Lake UQLM LRM 70 27 0 06 Oct 2020
Deep Representation Learning of Patient Data from Electronic Health Records (EHR): A Systematic Review Yuqi Si Jingcheng Du Zhao Li Xiaoqian Jiang T. Miller Fei Wang W. J. Zheng Kirk Roberts OOD 103 165 0 06 Oct 2020
Neural Mask Generator: Learning to Generate Adaptive Word Maskings for Language Model Adaptation Minki Kang Moonsu Han Sung Ju Hwang OOD 81 18 0 06 Oct 2020
Dissecting Span Identification Tasks with Performance Prediction Sean Papay Roman Klinger Sebastian Padó 82 16 0 06 Oct 2020
Dynamic Semantic Matching and Aggregation Network for Few-shot Intent Detection Hoang Nguyen Chenwei Zhang Congying Xia Philip S. Yu 85 27 0 06 Oct 2020
Shot in the Dark: Few-Shot Learning with No Base-Class Labels Z. Chen Subhransu Maji Erik Learned-Miller SSL VLM 53 20 0 06 Oct 2020
Lower Bounds and Optimal Algorithms for Personalized Federated Learning Filip Hanzely Slavomír Hanzely Samuel Horváth Peter Richtárik FedML 137 190 0 05 Oct 2020
The Traveling Observer Model: Multi-task Learning Through Spatial Variable Embeddings Elliot Meyerson Risto Miikkulainen 90 12 0 05 Oct 2020
Specialized federated learning using a mixture of experts Edvin Listo Zec Olof Mogren John Martinsson L. R. Sütfeld D. Gillblad FedML 103 29 0 05 Oct 2020
Improving Few-Shot Learning through Multi-task Representation Learning Theory Quentin Bouniot I. Redko Romaric Audigier Angélique Loesch Amaury Habrard 105 10 0 05 Oct 2020
Robust High-dimensional Memory-augmented Neural Networks G. Karunaratne Manuel Schmuck Manuel Le Gallo G. Cherubini Luca Benini Abu Sebastian Abbas Rahimi 86 103 0 05 Oct 2020
Long-tailed Recognition by Routing Diverse Distribution-Aware Experts Xudong Wang Long Lian Zhongqi Miao Ziwei Liu Stella X. Yu 148 394 0 05 Oct 2020
MetaPhys: Few-Shot Adaptation for Non-Contact Physiological Measurement Xin Liu Ziheng Jiang Josh Fromm Xuhai Xu Shwetak N. Patel Daniel J. McDuff 80 3 0 05 Oct 2020
Dialogue Generation on Infrequent Sentence Functions via Structured Meta-Learning Yifan Gao Piji Li Wei Bi Xiaojiang Liu Michael R. Lyu Irwin King 56 7 0 04 Oct 2020
FOCAL: Efficient Fully-Offline Meta-Reinforcement Learning via Distance Metric Learning and Behavior Regularization Lanqing Li Rui Yang Dijun Luo OffRL 80 9 0 02 Oct 2020
Exploration in Approximate Hyper-State Space for Meta Reinforcement Learning L. Zintgraf Leo Feng Cong Lu Maximilian Igl Kristian Hartikainen Katja Hofmann Shimon Whiteson 87 39 0 02 Oct 2020
Bongard-LOGO: A New Benchmark for Human-Level Concept Learning and Reasoning Weili Nie Zhiding Yu Lei Mao Ankit B. Patel Yuke Zhu Anima Anandkumar VLM LRM 111 77 0 02 Oct 2020
Fast Few-Shot Classification by Few-Iteration Meta-Learning A. S. Tripathi Martin Danelljan Luc Van Gool Radu Timofte 94 6 0 01 Oct 2020
Task Agnostic Continual Learning Using Online Variational Bayes with Fixed-Point Updates Chen Zeno Itay Golan Elad Hoffer Daniel Soudry OOD FedML 102 47 0 01 Oct 2020
Meta-Consolidation for Continual Learning K. J. Joseph V. Balasubramanian CLL 99 56 0 01 Oct 2020