Fast Context Adaptation via Meta-Learning

Fast Context Adaptation via Meta-Learning

Bibliografiske detaljer
Main Authors:	Zintgraf, L, Kurin, V, Shiarli, K, Hofmann, K, Whiteson, S
Format:	Conference item
Udgivet:	International Conference on Machine Learning 2019

Lignende værker

Fast adaptation via meta reinforcement learning
af: Zintgraf, L
Udgivet: (2022)

VariBAD: a very good method for Bayes-adaptive deep RL via meta-learning
af: Zintgraf, L, et al.
Udgivet: (2020)

Exploration in approximate hyper-state space for meta reinforcement learning
af: Zintgraf, L, et al.
Udgivet: (2021)

Fast efficient hyperparameter tuning for policy gradient methods
af: Paul, S, et al.
Udgivet: (2019)

VariBAD: variational bayes-adaptive deep RL via meta-learning
af: Whiteson, S
Udgivet: (2021)

Deep variational reinforcement learning for POMDPs
af: Igl, M, et al.
Udgivet: (2018)

Can Q-learning with graph networks learn a generalizable branching heuristic for a SAT solver?
af: Kurin, V, et al.
Udgivet: (2020)

Snowflake: Scaling GNNs to high-dimensional continuous control via parameter freezing
af: Blake, C, et al.
Udgivet: (2021)

Deep coordination graphs
af: Boehmer, W, et al.
Udgivet: (2020)

Fast Context Adaptation in Cost-Aware Continual Learning
af: Seyyidahmed Lahmer, et al.
Udgivet: (2024-01-01)

Communicating via Markov decision processes
af: Sokota, S, et al.
Udgivet: (2022)

A minimalist approach to deep multi-task learning
af: Kurin, V
Udgivet: (2022)

My body is a cage: the role of morphology in graph−based incompatible control
af: Kurin, V, et al.
Udgivet: (2021)

Meta-SSD: Towards Fast Adaptation for Few-Shot Object Detection With Meta-Learning
af: Kun Fu, et al.
Udgivet: (2019-01-01)

Learning from demonstration in the wild
af: Behbahani, F, et al.
Udgivet: (2019)

Fast learning and adaptation in control and machine learning
af: Gaudio, Joseph Emilio.
Udgivet: (2020)

Congested Crowd Counting via Adaptive Multi-Scale Context Learning
af: Yani Zhang, et al.
Udgivet: (2021-05-01)

Multileave gradient descent for fast online learning to rank
af: Whiteson, S, et al.
Udgivet: (2016)

Fast Parameter Learning in Adaptive Systems
af: Cui, Yingnan
Udgivet: (2023)

Transcultural Adaptation of the Following Affective States Test (FAST) for the Brazilian Context
af: André Luiz de Carvalho Braule Pinto, et al.
Udgivet: (2021-08-01)

Meta-FSEO: A Meta-Learning Fast Adaptation with Self-Supervised Embedding Optimization for Few-Shot Remote Sensing Scene Classification
af: Yong Li, et al.
Udgivet: (2021-07-01)

TACO: Learning task decomposition via temporal alignment for control
af: Shiarlis, K, et al.
Udgivet: (2018)

Learning from Demonstrations via Deformable Residual Multi-Attention Domain-Adaptive Meta-Learning
af: Zeyu Yan, et al.
Udgivet: (2025-02-01)

MOBILE LEARNING: CONTEXT ADAPTATION AND SCENARIO APPROACH
af: Vladimir V. Kureichik, et al.
Udgivet: (2016-05-01)

How I Initiated the Bankruptcy Proceeding
af: Yurii Kurin
Udgivet: (2013-09-01)

Seeker-based adaptive guidance via reinforcement meta-learning applied to asteroid close proximity operations
af: Mario, Courtney, et al.
Udgivet: (2022)

Neural relational inference with fast modular meta-learning
af: Alet, Ferran, et al.
Udgivet: (2022)

Neural relational inference with fast modular meta-learning
af: Alet, F, et al.
Udgivet: (2021)

A Fast Adaptive AUV Control Policy Based on Progressive Networks with Context Information
af: Chunhui Xu, et al.
Udgivet: (2024-11-01)

CSAC-Net: Fast Adaptive sEMG Recognition through Attention Convolution Network and Model-Agnostic Meta-Learning
af: Xinchen Fan, et al.
Udgivet: (2022-05-01)

FastContext: A tool for identification of adapters and other sequence patterns in next generation sequencing (NGS) data
af: E. Viesná, et al.
Udgivet: (2023-01-01)

Fast and interpretable consensus clustering via minipatch learning.
af: Luqin Gan, et al.
Udgivet: (2022-10-01)

A fast and self-adaptive on-line learning detection system
af: Prasad, Mukesh, et al.
Udgivet: (2019)

Fast Convergence Strategy for Multi-Image Superresolution via Adaptive Line Search
af: Yingqian Wang, et al.
Udgivet: (2018-01-01)

Fast and Robust Visual Tracking with Few-Iteration Meta-Learning
af: Zhenxin Li, et al.
Udgivet: (2022-08-01)

MetaHEP: Meta learning for fast shower simulation of high energy physics experiments
af: Dalila Salamani, et al.
Udgivet: (2023-09-01)

Determination of the Boundaries of Plastic Zone of Metal Deformation During the Cutting
af: M. O. Kurin
Udgivet: (2020-06-01)

Does the internet eraser button for youth delete first amendment right of others?
af: Jaclyn B. Kurin
Udgivet: (2017-07-01)

A screening tool to detect stroke aphasia: Adaptation of frenchay aphasia screening test (FAST) to the Indian context
af: Avanthi Paplikar, et al.
Udgivet: (2020-01-01)

Handbook of research on the learning organization : adaptation and context /
af: editor
Udgivet: (2013)