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Few-Shot Learning

2,562 papers

Papers per year

3
167
401
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Papers

GP-Tree: A Gaussian Process Classifier for Few-Shot Incremental Learning ICML 2021
A large-scale benchmark for few-shot program induction and synthesis ICML 2021
Demonstration-Conditioned Reinforcement Learning for Few-Shot Imitation ICML 2021
Few-Shot Conformal Prediction with Auxiliary Tasks ICML 2021
Unsupervised Embedding Adaptation via Early-Stage Feature Reconstruction for Few-Shot Classification ICML 2021
SagaNet: A Small Sample Gated Network for Pediatric Cancer Diagnosis ICML 2021
Continuous Coordination As a Realistic Scenario for Lifelong Learning ICML 2021
Data Augmentation for Meta-Learning ICML 2021
Large-Scale Meta-Learning with Continual Trajectory Shifting ICML 2021
LTL2Action: Generalizing LTL Instructions for Multi-Task RL ICML 2021
CURI: A Benchmark for Productive Concept Learning Under Uncertainty ICML 2021
Addressing Catastrophic Forgetting in Few-Shot Problems ICML 2021
Calibrate Before Use: Improving Few-shot Performance of Language Models ICML 2021
Few-Shot Neural Architecture Search ICML 2021
Learn from Concepts: Towards the Purified Memory for Few-shot Learning IJCAI 2021
One-Shot Affordance Detection IJCAI 2021
Cross-Domain Few-Shot Classification via Adversarial Task Augmentation IJCAI 2021
Learning Implicit Temporal Alignment for Few-shot Video Classification IJCAI 2021
Conditional Self-Supervised Learning for Few-Shot Classification IJCAI 2021
Few-Shot Learning with Part Discovery and Augmentation from Unlabeled Images IJCAI 2021
Learning to Learn Personalized Neural Network for Ventricular Arrhythmias Detection on Intracardiac EGMs IJCAI 2021
Regularising Knowledge Transfer by Meta Functional Learning IJCAI 2021
MFNP: A Meta-optimized Model for Few-shot Next POI Recommendation IJCAI 2021
Self-supervised Network Evolution for Few-shot Classification IJCAI 2021
Few-Shot Partial-Label Learning IJCAI 2021