On First-Order Meta-Learning Algorithms

8 March 2018

Papers citing "On First-Order Meta-Learning Algorithms"

50 / 1,158 papers shown

Title
On Enforcing Better Conditioned Meta-Learning for Rapid Few-Shot Adaptation Markus Hiller Mehrtash Harandi Tom Drummond AI4CE 36 8 0 15 Jun 2022
Category-Agnostic 6D Pose Estimation with Conditional Neural Processes Yumeng Li Ni Gao Hanna Ziesche Gerhard Neumann 37 5 0 14 Jun 2022
Transformers are Meta-Reinforcement Learners Luckeciano C. Melo OffRL 41 50 0 14 Jun 2022
Faster Optimization-Based Meta-Learning Adaptation Phase K. Khabarlak 19 1 0 13 Jun 2022
On the Generalization and Adaption Performance of Causal Models Nino Scherrer Anirudh Goyal Stefan Bauer Yoshua Bengio Nan Rosemary Ke CML OOD BDL TTA 31 8 0 09 Jun 2022
Sharp-MAML: Sharpness-Aware Model-Agnostic Meta Learning Momin Abbas Quan-Wu Xiao Lisha Chen Pin-Yu Chen Tianyi Chen 21 78 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 46 9 0 07 Jun 2022
On the Effectiveness of Fine-tuning Versus Meta-reinforcement Learning Mandi Zhao Pieter Abbeel Stephen James OffRL 31 33 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
Dynamic Kernel Selection for Improved Generalization and Memory Efficiency in Meta-learning Arnav Chavan Rishabh Tiwari Udbhav Bamba D. K. Gupta 33 5 0 03 Jun 2022
On the Generalization of Neural Combinatorial Optimization Heuristics S. Manchanda Sofia Michel Darko Drakulic J. Andreoli 27 21 0 01 Jun 2022
Transfer without Forgetting Matteo Boschini Lorenzo Bonicelli Angelo Porrello Giovanni Bellitto M. Pennisi S. Palazzo C. Spampinato Simone Calderara CLL 22 46 0 01 Jun 2022
HyperMAML: Few-Shot Adaptation of Deep Models with Hypernetworks Marcin Przewiȩźlikowski P. Przybysz Jacek Tabor Maciej Ziȩba Przemysław Spurek 31 19 0 31 May 2022
Meta-Learning Adversarial Bandits Maria-Florina Balcan Keegan Harris M. Khodak Zhiwei Steven Wu FedML AAML 46 7 0 27 May 2022
Fast Inference and Transfer of Compositional Task Structures for Few-shot Task Generalization Sungryull Sohn Hyunjae Woo Jongwook Choi lyubing qiang Izzeddin Gur Aleksandra Faust Honglak Lee BDL OffRL 35 3 0 25 May 2022
Learning a Better Initialization for Soft Prompts via Meta-Learning Yukun Huang Kun Qian Zhou Yu VLM 64 9 0 25 May 2022
Meta Policy Learning for Cold-Start Conversational Recommendation Zhendong Chu Hongning Wang Yun Xiao Bo Long Lingfei Wu OffRL 28 34 0 24 May 2022
Adaptive Few-Shot Learning Algorithm for Rare Sound Event Detection Chendong Zhao Jianzong Wang LeiLai Li Xiaoyang Qu Jing Xiao 60 10 0 24 May 2022
Feature-Distribution Perturbation and Calibration for Generalized Person ReID Qilei Li Jiabo Huang Jian Hu S. Gong OOD 27 3 0 23 May 2022
Personalized Federated Learning with Server-Side Information Jaehun Song Min Hwan Oh Hyung-Sin Kim FedML 35 8 0 23 May 2022
Set-based Meta-Interpolation for Few-Task Meta-Learning Seanie Lee Bruno Andreis Kenji Kawaguchi Juho Lee Sung Ju Hwang 43 9 0 20 May 2022
Persian Natural Language Inference: A Meta-learning approach Heydar Soudani Mohammadreza Mojab H. Beigy 32 1 0 18 May 2022
Learn2Weight: Parameter Adaptation against Similar-domain Adversarial Attacks Siddhartha Datta AAML 34 4 0 15 May 2022
A Comprehensive Survey of Few-shot Learning: Evolution, Applications, Challenges, and Opportunities Yisheng Song Ting-Yuan Wang S. Mondal J. P. Sahoo SLR 54 345 0 13 May 2022
Meta Balanced Network for Fair Face Recognition Mei Wang Yaobin Zhang Weihong Deng CVBM 19 74 0 13 May 2022
Warm-starting DARTS using meta-learning Matej Grobelnik Joaquin Vanschoren AI4CE 31 1 0 12 May 2022
D3T-GAN: Data-Dependent Domain Transfer GANs for Few-shot Image Generation Xintian Wu Huanyu Wang Yiming Wu Xi Li 19 2 0 12 May 2022
Panoptic Neural Fields: A Semantic Object-Aware Neural Scene Representation Abhijit Kundu Kyle Genova Xiaoqi Yin Alireza Fathi C. Pantofaru Leonidas J. Guibas Andrea Tagliasacchi F. Dellaert Thomas Funkhouser 52 260 0 09 May 2022
Meta Learning for Natural Language Processing: A Survey Hung-yi Lee Shang-Wen Li Ngoc Thang Vu 57 42 0 03 May 2022
On the generalization capabilities of FSL methods through domain adaptation: a case study in endoscopic kidney stone image classification M. Mendez-Ruiz F. Lopez-Tiro Jonathan El Beze V. Estrade G. Ochoa-Ruiz Jacques Hubert Andres Mendez-Vazquez C. Daul OOD 17 7 0 02 May 2022
Meta-free few-shot learning via representation learning with weight averaging Kuilin Chen Chi-Guhn Lee 19 5 0 26 Apr 2022
Metappearance: Meta-Learning for Visual Appearance Reproduction Michael Fischer Tobias Ritschel 3DH 19 10 0 19 Apr 2022
Few-shot Learning with Noisy Labels Kevin J Liang Samrudhdhi B. Rangrej Vladan Petrovic Tal Hassner NoLa 30 47 0 12 Apr 2022
A Simple Approach to Adversarial Robustness in Few-shot Image Classification Akshayvarun Subramanya Hamed Pirsiavash VLM 26 6 0 11 Apr 2022
Canonical Mean Filter for Almost Zero-Shot Multi-Task classification Yong Li Heng Wang Xiang Ye 15 0 0 08 Apr 2022
Interval Bound Interpolation for Few-shot Learning with Few Tasks Shounak Datta S. S. Mullick A. Chakrabarty Swagatam Das 36 2 0 07 Apr 2022
Few-Shot Forecasting of Time-Series with Heterogeneous Channels L. Brinkmeyer Rafael Rêgo Drumond Johannes Burchert Lars Schmidt-Thieme AI4TS 28 7 0 07 Apr 2022
Fusing finetuned models for better pretraining Leshem Choshen Elad Venezian Noam Slonim Yoav Katz FedML AI4CE MoMe 54 87 0 06 Apr 2022
Universal Representations: A Unified Look at Multiple Task and Domain Learning Wei-Hong Li Xialei Liu Hakan Bilen SSL OOD 30 27 0 06 Apr 2022
Towards Robust Adaptive Object Detection under Noisy Annotations Xinyu Liu Wuyang Li Qiushi Yang Baopu Li Yixuan Yuan 19 29 0 06 Apr 2022
Learning to Adapt to Domain Shifts with Few-shot Samples in Anomalous Sound Detection Bingqing Chen Luca Bondi Samarjit Das 73 7 0 05 Apr 2022
Learning to Accelerate by the Methods of Step-size Planning Hengshuai Yao 24 0 0 01 Apr 2022
On the Efficiency of Integrating Self-supervised Learning and Meta-learning for User-defined Few-shot Keyword Spotting Wei-Tsung Kao Yue Wu Chia-Ping Chen Zhi-Sheng Chen Yu-Pao Tsai Hung-yi Lee 16 7 0 01 Apr 2022
Few-Shot Class-Incremental Learning by Sampling Multi-Phase Tasks Da-Wei Zhou Han-Jia Ye Liang Ma Di Xie Shiliang Pu De-Chuan Zhan CLL 19 119 0 31 Mar 2022
FALCON: Fast Visual Concept Learning by Integrating Images, Linguistic descriptions, and Conceptual Relations Lingjie Mei Jiayuan Mao Ziqi Wang Chuang Gan J. Tenenbaum VLM 29 21 0 30 Mar 2022
Zero-shot meta-learning for small-scale data from human subjects Julie Jiang Kristina Lerman Emilio Ferrara 30 1 0 29 Mar 2022
Exploring Frequency Adversarial Attacks for Face Forgery Detection Shuai Jia Chao Ma Taiping Yao Bangjie Yin Shouhong Ding Xiaokang Yang AAML 31 62 0 29 Mar 2022
Sketch3T: Test-Time Training for Zero-Shot SBIR Aneeshan Sain A. Bhunia Vaishnav Potlapalli Pinaki Nath Chowdhury Tao Xiang Yi-Zhe Song VLM 19 48 0 28 Mar 2022
Temporal Transductive Inference for Few-Shot Video Object Segmentation Mennatullah Siam Konstantinos G. Derpanis Richard P. Wildes VOS 21 9 0 27 Mar 2022
Image quality assessment for machine learning tasks using meta-reinforcement learning Shaheer U. Saeed Yunguan Fu V. Stavrinides Zachary Michael Cieman Baum Qianye Yang ... Richard E. Fan G. Sonn J. A. Noble D. Barratt Yipeng Hu 29 36 0 27 Mar 2022