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Learning Paradigms

14,108 papers (9 classified directly here)

Subtopics

Transfer Learning (8,166) Few-Shot Learning (2,562) Meta-Learning (1,529) Federated Learning (1,360) Zero-Shot Learning (867) Multi-Task Learning (135) Continual Learning (118) Domain Adaptation (117) Self-Supervised Learning (100) Active Learning (75) Semi-Supervised Learning (41) Unsupervised Learning (26) In-Context Learning (19) Weakly Supervised Learning (11) Domain Generalization (9)

Papers per year

4
19
58
1128
2227
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Papers (including subtopics)

Learning to Teach with Dynamic Loss Functions NIPS 2018
Distributed Multitask Reinforcement Learning with Quadratic Convergence NIPS 2018
Low-shot Learning via Covariance-Preserving Adversarial Augmentation Networks NIPS 2018
Reward learning from human preferences and demonstrations in Atari NIPS 2018
Probabilistic Model-Agnostic Meta-Learning NIPS 2018
Transfer of Value Functions via Variational Methods NIPS 2018
Banach Wasserstein GAN NIPS 2018
Improving Simple Models with Confidence Profiles NIPS 2018
Online Reciprocal Recommendation with Theoretical Performance Guarantees NIPS 2018
Differentially Private Contextual Linear Bandits NIPS 2018
Learning to Multitask NIPS 2018
Generalizing Tree Probability Estimation via Bayesian Networks NIPS 2018
Probabilistic Matrix Factorization for Automated Machine Learning NIPS 2018
Cluster Variational Approximations for Structure Learning of Continuous-Time Bayesian Networks from Incomplete Data NIPS 2018
Hardware Conditioned Policies for Multi-Robot Transfer Learning NIPS 2018
Learning To Learn Around A Common Mean NIPS 2018
Transfer Learning with Neural AutoML NIPS 2018
Structural Causal Bandits: Where to Intervene? NIPS 2018
Long short-term memory and Learning-to-learn in networks of spiking neurons NIPS 2018
Trading robust representations for sample complexity through self-supervised visual experience NIPS 2018
PG-TS: Improved Thompson Sampling for Logistic Contextual Bandits NIPS 2018
Reinforced Continual Learning NIPS 2018
Adapted Deep Embeddings: A Synthesis of Methods for k-Shot Inductive Transfer Learning NIPS 2018
The Importance of Sampling inMeta-Reinforcement Learning NIPS 2018
Breaking the Curse of Horizon: Infinite-Horizon Off-Policy Estimation NIPS 2018