conftrace_

learning to learn

11 papers

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Also known as

LTL

Co-occurring keywords · papers mentioning both

task distribution (2) reinforcement learning (2) task balancing (1) bilevel optimization (1) spiking neuron (1) recurrent neural network (1) least square (1) domain shift (1) multiplicative weights update (1) few-shot classification (1)

Papers

PeFLL: Personalized Federated Learning by Learning to Learn ICLR 2024 Consensus Multiplicative Weights Update: Learning to Learn using Projector-based Game Signatures ICML 2022 Short-Term Plasticity Neurons Learning to Learn and Forget ICML 2022 Guarantees for Tuning the Step Size using a Learning-to-Learn Approach ICML 2021 Learning to Defend by Learning to Attack AISTATS 2021 Cross-Domain Few-Shot Classification via Learned Feature-Wise Transformation ICLR 2020 Meta-learning with Stochastic Linear Bandits ICML 2020 Learning-to-Learn Stochastic Gradient Descent with Biased Regularization ICML 2019 Learning To Learn Around A Common Mean NeurIPS 2018 Learning Gradient Descent: Better Generalization and Longer Horizons ICML 2017 Minimax Multi-Task Learning and a Generalized Loss-Compositional Paradigm for MTL NeurIPS 2012