Instruct: Given the title of a scientific paper, retrieve paper titles that are cited by the given paper
Query: Training a Neural Network in a Low-Resource Setting on Automatically Annotated Noisy Data
Training deep neural-networks based on unreliable labels
Adversarial Noise Layer: Regularize Neural Network by Adding Noise
Deep Convolutional Neural Networks and Noisy Images
Cost-Sensitive Learning with Neural Networks
On the characterization of noise filters for self-training semi-supervised in nearest neighbor classification
Adding Gradient Noise Improves Learning for Very Deep Networks
Information Dropout: Learning Optimal Representations Through Noisy Computation
Learning from Noisy Web Data with Category-Level Supervision
Support Vector Machines Under Adversarial Label Noise
Knowledge Transfer with Low-Quality Data: A Feature Extraction Issue
Learning Low Precision Deep Neural Networks through Regularization
The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks
Image denoising with multi-layer perceptrons, part 2: training trade-offs and analysis of their mechanisms
Exploring strategies for training deep neural networks
High-Accuracy Low-Precision Training
Analyzing noise in autoencoders and deep networks
Learning Deep Visual Object Models From Noisy Web Data: How to Make it Work
Towards instance-dependent label noise-tolerant classification: a probabilistic approach
Learning with Symmetric Label Noise: The Importance of Being Unhinged
Learning kernel logistic regression in the presence of class label noise
Sesamoids and accessory ossicles of the foot: anatomical variability and related pathology
Management of painful reverse shoulder arthroplasty
Face poser: Interactive modeling of 3D facial expressions using facial priors
Extracting and composing robust features with denoising autoencoders
Topical Word Importance for Fast Keyphrase Extraction