Co-occurring keywords · papers mentioning both
Papers
M-L2O: Towards Generalizable Learning-to-Optimize by Test-Time Fast Self-Adaptation
ICLR 2023
Nevis'22: A Stream of 100 Tasks Sampled from 30 Years of Computer Vision Research
JMLR 2023
Offline Meta Reinforcement Learning with In-Distribution Online Adaptation
ICML 2023
Provable Pathways: Learning Multiple Tasks over Multiple Paths
AAAI 2023
Task-Adaptive Meta-Learning Framework for Advancing Spatial Generalizability
AAAI 2023
Tree Prompting: Efficient Task Adaptation without Fine-Tuning
EMNLP 2023
ViM: Vision Middleware for Unified Downstream Transferring
ICCV 2023
Attention Fusion: a light yet efficient late fusion mechanism for task adaptation in NLU
NAACL 2022
Calibrating CNNs for Few-Shot Meta Learning
WACV 2022
Contextual Gradient Scaling for Few-Shot Learning
WACV 2022
Improving Meta-learning for Low-resource Text Classification and Generation via Memory Imitation
ACL 2022
Learning Action Translator for Meta Reinforcement Learning on Sparse-Reward Tasks
AAAI 2022
Learning Tensor Representations for Meta-Learning
AISTATS 2022
Personalized Keyword Spotting through Multi-task Learning
Interspeech 2022
Bayesian Model-Agnostic Meta-Learning with Matrix-Valued Kernels for Quality Estimation
ACL 2021
CAM-GAN: Continual Adaptation Modules for Generative Adversarial Networks
NeurIPS 2021
Exploration in Approximate Hyper-State Space for Meta Reinforcement Learning
ICML 2021
Hindsight Task Relabelling: Experience Replay for Sparse Reward Meta-RL
NeurIPS 2021
How Important is the Train-Validation Split in Meta-Learning?
ICML 2021
Meta-Learning Framework with Applications to Zero-Shot Time-Series Forecasting
AAAI 2021
Offline Meta-Reinforcement Learning with Advantage Weighting
ICML 2021
Statistically and Computationally Efficient Linear Meta-representation Learning
NeurIPS 2021
Automatic Curriculum Learning For Deep RL: A Short Survey
IJCAI 2020
AutoSpeech 2020: The Second Automated Machine Learning Challenge for Speech Classification
Interspeech 2020
Convergence of Meta-Learning with Task-Specific Adaptation over Partial Parameters
NeurIPS 2020