Instruct: Given a scientific paper title, retrieve paper titles that are cited by the given paper.
Query: Few-shot Autoregressive Density Estimation: Towards Learning to Learn Distributions
Optimization as a Model for Few-Shot Learning
Learning the Structure of Generative Models without Labeled Data
Semantic Feature Augmentation in Few-shot Learning.
Active Zero-Shot Learning
Learning to Draw Samples: With Application to Amortized MLE for Generative Adversarial Learning
Fast Amortized Inference and Learning in Log-linear Models with Randomly Perturbed Nearest Neighbor Search
Reconstruction of training samples from loss functions
Distributed Variational Inference in Sparse Gaussian Process Regression and Latent Variable Models
A Simple yet Effective Model for Zero-Shot Learning
Few-Shot Learning Through an Information Retrieval Lens
Semi-Supervised Learning with Deep Generative Models
Automated Variational Inference for Gaussian Process Models
Incremental learning algorithms and applications
Learning from noisy examples
Incremental Learning From Stream Data
Probability Density Estimation from Optimally Condensed Data Samples
Variational Inference with Stein Mixtures
Learning to Learn
Robust and Discriminative Self-Taught Learning
Contrastive Estimation: Training Log-Linear Models On Unlabeled Data
A Lifelong Learning Perspective for Mobile Robot Control
A Reliable Effective Terascale Linear Learning System
a naive - bayes strategy for sentiment analysis on spanish .
Chirp sensing codes: Deterministic compressed sensing measurements for fast recovery
A comparative study on security features of Indian, Canadian and Dubai cheques