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Learning Paradigms

2,054 papers (7 classified directly here)

Subtopics

Meta-Learning (973) Federated Learning (894) Curriculum Learning (202)

Papers per year

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Papers (including subtopics)

Cross Attention Network for Few-shot Classification NIPS 2019
Discovery of Useful Questions as Auxiliary Tasks NIPS 2019
Fast and Flexible Multi-Task Classification using Conditional Neural Adaptive Processes NIPS 2019
Meta-Inverse Reinforcement Learning with Probabilistic Context Variables NIPS 2019
Differentially Private Distributed Data Summarization under Covariate Shift NIPS 2019
A Generalized Algorithm for Multi-Objective Reinforcement Learning and Policy Adaptation NIPS 2019
Communication-Efficient Distributed Learning via Lazily Aggregated Quantized Gradients NIPS 2019
Sample Efficient Active Learning of Causal Trees NIPS 2019
Learning to Learn By Self-Critique NIPS 2019
Loaded DiCE: Trading off Bias and Variance in Any-Order Score Function Gradient Estimators for Reinforcement Learning NIPS 2019
Meta Learning with Relational Information for Short Sequences NIPS 2019
Efficient Meta Learning via Minibatch Proximal Update NIPS 2019
Data Parameters: A New Family of Parameters for Learning a Differentiable Curriculum NIPS 2019
Learning to Self-Train for Semi-Supervised Few-Shot Classification NIPS 2019
Online-Within-Online Meta-Learning NIPS 2019
Multimodal Model-Agnostic Meta-Learning via Task-Aware Modulation NIPS 2019
Meta Architecture Search NIPS 2019
Adaptive Gradient-Based Meta-Learning Methods NIPS 2019
Compositional generalization through meta sequence-to-sequence learning NIPS 2019
Unsupervised Meta-Learning for Few-Shot Image Classification NIPS 2019
MAT: Multi-Fingered Adaptive Tactile Grasping via Deep Reinforcement Learning CORL 2019
Self-Paced Contextual Reinforcement Learning CORL 2019
Teacher algorithms for curriculum learning of Deep RL in continuously parameterized environments CORL 2019
MAME : Model-Agnostic Meta-Exploration CORL 2019
Meta-World: A Benchmark and Evaluation for Multi-Task and Meta Reinforcement Learning CORL 2019