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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"

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Title
Adaptive Meta-Learning-Based KKL Observer Design for Nonlinear Dynamical Systems Lukas Trommer Halil Yigit Oksuz 47 0 0 30 Oct 2023
Diversify & Conquer: Outcome-directed Curriculum RL via Out-of-Distribution Disagreement Daesol Cho Seungjae Lee H. J. Kim OODD 84 2 0 30 Oct 2023
Generalized Category Discovery with Clustering Assignment Consistency Xiangli Yang Xinglin Pan Irwin King Zenglin Xu 58 2 0 30 Oct 2023
Efficient Test-Time Adaptation for Super-Resolution with Second-Order Degradation and Reconstruction Zeshuai Deng Zhuokun Chen Shuaicheng Niu Thomas H. Li Bohan Zhuang Mingkui Tan 81 23 0 29 Oct 2023
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
Hyperbolic Graph Neural Networks at Scale: A Meta Learning Approach Nurendra Choudhary Nikhil S. Rao Chandan K. Reddy 56 7 0 29 Oct 2023
Adaptive Test-Time Personalization for Federated Learning Wenxuan Bao Tianxin Wei Haohan Wang Jingrui He TTA OOD 84 18 0 28 Oct 2023
Episodic Multi-Task Learning with Heterogeneous Neural Processes Jiayi Shen Xiantong Zhen Qi Qi Wang M. Worring 81 12 0 28 Oct 2023
Contextual Stochastic Bilevel Optimization Yifan Hu Jie Wang Yao Xie Andreas Krause Daniel Kuhn 104 14 0 27 Oct 2023
GPT-4 Vision on Medical Image Classification -- A Case Study on COVID-19 Dataset Ruibo Chen Tianyi Xiong Yihan Wu Guodong Liu Zhengmian Hu Lichang Chen Yanshuo Chen Chenxi Liu Heng-Chiao Huang 56 8 0 27 Oct 2023
Human-Guided Complexity-Controlled Abstractions Andi Peng Mycal Tucker Eoin M. Kenny Noga Zaslavsky Pulkit Agrawal Julie A. Shah 61 1 0 26 Oct 2023
Dynamics Generalisation in Reinforcement Learning via Adaptive Context-Aware Policies Michael Beukman Devon Jarvis Richard Klein Steven D. James Benjamin Rosman 107 13 0 25 Oct 2023
Modality-Agnostic Self-Supervised Learning with Meta-Learned Masked Auto-Encoder Huiwon Jang Jihoon Tack Daewon Choi Jongheon Jeong Jinwoo Shin 74 3 0 25 Oct 2023
Knowledge Editing for Large Language Models: A Survey Song Wang Yaochen Zhu Haochen Liu Zaiyi Zheng Chen Chen Wenlin Yao KELM 176 163 0 24 Oct 2023
Amortised Inference in Neural Networks for Small-Scale Probabilistic Meta-Learning Matthew Ashman Tommy Rochussen Adrian Weller UQCV BDL 42 1 0 24 Oct 2023
Deceptive Fairness Attacks on Graphs via Meta Learning Jian Kang Yinglong Xia Ross Maciejewski Jiebo Luo Hanghang Tong 72 5 0 24 Oct 2023
FD-Align: Feature Discrimination Alignment for Fine-tuning Pre-Trained Models in Few-Shot Learning Kun Song Huimin Ma Bochao Zou Huishuai Zhang Weiran Huang 104 12 0 23 Oct 2023
Implicit meta-learning may lead language models to trust more reliable sources Dmitrii Krasheninnikov Egor Krasheninnikov Bruno Mlodozeniec Tegan Maharaj David M. Krueger 86 4 0 23 Oct 2023
Bayesian Active Learning in the Presence of Nuisance Parameters Sabina J. Sloman Ayush Bharti Julien Martinelli Samuel Kaski 88 4 0 23 Oct 2023
Cross-Domain HAR: Few Shot Transfer Learning for Human Activity Recognition Megha Thukral H. Haresamudram Thomas Ploetz 97 8 0 22 Oct 2023
Efficient Meta Neural Heuristic for Multi-Objective Combinatorial Optimization Jinbiao Chen Jiahai Wang Zizhen Zhang Zhiguang Cao Te Ye Siyuan Chen 99 18 0 22 Oct 2023
Partition Speeds Up Learning Implicit Neural Representations Based on Exponential-Increase Hypothesis Ke Liu Feng Liu Haishuai Wang Ning Ma Jiajun Bu Bo Han 74 12 0 22 Oct 2023
Are LSTMs Good Few-Shot Learners? Mike Huisman Thomas M. Moerland Aske Plaat Jan N. van Rijn VLM 83 9 0 22 Oct 2023
Zero-shot Learning of Individualized Task Contrast Prediction from Resting-state Functional Connectomes Minh Nguyen G. Ngo M. Sabuncu 40 2 0 21 Oct 2023
Transductive Learning for Textual Few-Shot Classification in API-based Embedding Models Pierre Colombo Victor Pellegrain Malik Boudiaf Victor Storchan Myriam Tami Ismail Ben Ayed C´eline Hudelot Pablo Piantanida 99 8 0 21 Oct 2023
Towards a General Framework for Continual Learning with Pre-training Liyuan Wang Jingyi Xie Xingxing Zhang Hang Su Jun Zhu CLL 75 3 0 21 Oct 2023
Towards Subject Agnostic Affective Emotion Recognition Amit Kumar Jaiswal Haiming Liu Prayag Tiwari 48 2 0 20 Oct 2023
Adversarial Attacks on Fairness of Graph Neural Networks Binchi Zhang Yushun Dong Chen Chen Yada Zhu Minnan Luo Jundong Li 99 3 0 20 Oct 2023
Learning to (Learn at Test Time) Yu Sun Xinhao Li Karan Dalal Chloe Hsu Oluwasanmi Koyejo Carlos Guestrin Xiaolong Wang Tatsunori Hashimoto Xinlei Chen SSL 87 8 0 20 Oct 2023
Meta-learning of Physics-informed Neural Networks for Efficiently Solving Newly Given PDEs Tomoharu Iwata Yusuke Tanaka N. Ueda AI4CE 80 2 0 20 Oct 2023
Unsupervised Representation Learning to Aid Semi-Supervised Meta Learning Atik Faysal Mohammad Rostami Huaxia Wang Avimanyu Sahoo Ryan Antle 37 0 0 19 Oct 2023
Fine-Tuning Generative Models as an Inference Method for Robotic Tasks Orr Krupnik Elisei Shafer Tom Jurgenson Aviv Tamar 95 4 0 19 Oct 2023
Are Structural Concepts Universal in Transformer Language Models? Towards Interpretable Cross-Lingual Generalization Ningyu Xu Qi Zhang Jingting Ye Menghan Zhang Xuanjing Huang 97 4 0 19 Oct 2023
Solving Expensive Optimization Problems in Dynamic Environments with Meta-learning Huan Zhang Jinliang Ding Liang Feng Kay Chen Tan Ke Li 73 7 0 19 Oct 2023
Not Just Learning from Others but Relying on Yourself: A New Perspective on Few-Shot Segmentation in Remote Sensing Hanbo Bi Yingchao Feng Zhiyuan Yan Yongqiang Mao Wenhui Diao Hongqi Wang Xian Sun 51 19 0 19 Oct 2023
New Environment Adaptation with Few Shots for OFDM Receiver and mmWave Beamforming Ouya Wang Shenglong Zhou Geoffrey Ye Li 73 4 0 18 Oct 2023
Getting aligned on representational alignment Ilia Sucholutsky Lukas Muttenthaler Adrian Weller Andi Peng Andreea Bobu ... Thomas Unterthiner Andrew Kyle Lampinen Klaus-Robert Muller M. Toneva Thomas Griffiths 158 93 0 18 Oct 2023
Learning to Generate Parameters of ConvNets for Unseen Image Data Shiye Wang Kaituo Feng Changsheng Li Ye Yuan Guoren Wang 98 1 0 18 Oct 2023
Conservative Predictions on Noisy Financial Data Omkar Nabar Gautam Shroff 73 4 0 18 Oct 2023
Live Graph Lab: Towards Open, Dynamic and Real Transaction Graphs with NFT Zhen Zhang B. Luo Shengliang Lu Bingsheng He 99 15 0 18 Oct 2023
An Automatic Learning Rate Schedule Algorithm for Achieving Faster Convergence and Steeper Descent Zhao Song Chiwun Yang 90 10 0 17 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
OpenAgents: An Open Platform for Language Agents in the Wild Tianbao Xie Fan Zhou Zhoujun Cheng Peng Shi Luoxuan Weng ... Yiheng Xu Hongjin Su Dongchan Shin Caiming Xiong Tao Yu LLMAG 135 102 0 16 Oct 2023
AST: Effective Dataset Distillation through Alignment with Smooth and High-Quality Expert Trajectories Jiyuan Shen Wenzhuo Yang Kwok-Yan Lam DD 91 1 0 16 Oct 2023
Few-Shot Learning Patterns in Financial Time-Series for Trend-Following Strategies Kieran Wood Samuel Kessler Stephen J. Roberts S. Zohren AI4TS 85 2 0 16 Oct 2023
Revisiting Logistic-softmax Likelihood in Bayesian Meta-Learning for Few-Shot Classification Tianjun Ke Haoqun Cao Zenan Ling Feng Zhou UQCV 64 8 0 16 Oct 2023
Few-shot Action Recognition with Captioning Foundation Models Xiang Wang Shiwei Zhang Hangjie Yuan Yingya Zhang Changxin Gao Deli Zhao Nong Sang VLM 126 7 0 16 Oct 2023
Farzi Data: Autoregressive Data Distillation Noveen Sachdeva Zexue He Wang-Cheng Kang Jianmo Ni D. Cheng Julian McAuley DD 88 4 0 15 Oct 2023
AMAGO: Scalable In-Context Reinforcement Learning for Adaptive Agents Jake Grigsby Linxi Fan Yuke Zhu OffRL LM&Ro 121 33 0 15 Oct 2023
Deep Reinforcement Learning with Explicit Context Representation Francisco Munguia-Galeano Ah-Hwee Tan Ze Ji OffRL 75 2 0 15 Oct 2023