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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)

Proxy Network for Few Shot Learning ACML 2020
Improving Maximum Likelihood Training for Text Generation with Density Ratio Estimation AISTATS 2020
Characterization of Overlap in Observational Studies AISTATS 2020
Corruption-Tolerant Gaussian Process Bandit Optimization AISTATS 2020
On the Convergence Theory of Gradient-Based Model-Agnostic Meta-Learning Algorithms AISTATS 2020
Private Protocols for U-Statistics in the Local Model and Beyond AISTATS 2020
Unsupervised Hierarchy Matching with Optimal Transport over Hyperbolic Spaces AISTATS 2020
Communication-Efficient Distributed Optimization in Networks with Gradient Tracking and Variance Reduction AISTATS 2020
Thompson Sampling for Linearly Constrained Bandits AISTATS 2020
FedPAQ: A Communication-Efficient Federated Learning Method with Periodic Averaging and Quantization AISTATS 2020
Noisy-Input Entropy Search for Efficient Robust Bayesian Optimization AISTATS 2020
Stepwise Model Selection for Sequence Prediction via Deep Kernel Learning AISTATS 2020
Integrals over Gaussians under Linear Domain Constraints AISTATS 2020
ChemBO: Bayesian Optimization of Small Organic Molecules with Synthesizable Recommendations AISTATS 2020
Distributed, partially collapsed MCMC for Bayesian Nonparametrics AISTATS 2020
Federated Heavy Hitters Discovery with Differential Privacy AISTATS 2020
Online Batch Decision-Making with High-Dimensional Covariates AISTATS 2020
Better Long-Range Dependency By Bootstrapping A Mutual Information Regularizer AISTATS 2020
Stochastic Neural Network with Kronecker Flow AISTATS 2020
Understanding Pre-trained BERT for Aspect-based Sentiment Analysis COLING 2020
AprilE: Attention with Pseudo Residual Connection for Knowledge Graph Embedding COLING 2020
RatE: Relation-Adaptive Translating Embedding for Knowledge Graph Completion COLING 2020
SentiX: A Sentiment-Aware Pre-Trained Model for Cross-Domain Sentiment Analysis COLING 2020
Bayes-enhanced Lifelong Attention Networks for Sentiment Classification COLING 2020
Author’s Sentiment Prediction COLING 2020