research
∙
06/23/2023
On Sensitivity and Robustness of Normalization Schemes to Input Distribution Shifts in Automatic MR Image Diagnosis
Magnetic Resonance Imaging (MRI) is considered the gold standard of medi...
share
research
∙
01/27/2023
On the Feasibility of Machine Learning Augmented Magnetic Resonance for Point-of-Care Identification of Disease
Early detection of many life-threatening diseases (e.g., prostate and br...
research
∙
02/06/2019
Generative Image Translation for Data Augmentation of Bone Lesion Pathology
Insufficient training data and severe class imbalance are often limiting...
research
∙
09/12/2017
StarSpace: Embed All The Things!
We present StarSpace, a general-purpose neural embedding model that can ...
research
∙
02/15/2017
Training Language Models Using Target-Propagation
While Truncated Back-Propagation through Time (BPTT) is the most popular...
research
∙
12/15/2016
Learning through Dialogue Interactions by Asking Questions
A good dialogue agent should have the ability to interact with users by ...
research
∙
11/29/2016
Dialogue Learning With Human-In-The-Loop
An important aspect of developing conversational agents is to give a bot...
research
∙
11/21/2015
Evaluating Prerequisite Qualities for Learning End-to-End Dialog Systems
A long-term goal of machine learning is to build intelligent conversatio...
research
∙
11/20/2015
Sequence Level Training with Recurrent Neural Networks
Many natural language processing applications use language models to gen...
research
∙
11/07/2015
The Goldilocks Principle: Reading Children's Books with Explicit Memory Representations
We introduce a new test of how well language models capture meaning in c...
research
∙
09/02/2015
A Neural Attention Model for Abstractive Sentence Summarization
Summarization based on text extraction is inherently limited, but genera...
research
∙
02/19/2015
Towards AI-Complete Question Answering: A Set of Prerequisite Toy Tasks
One long-term goal of machine learning research is to produce methods th...
research
∙
12/24/2014
Learning Longer Memory in Recurrent Neural Networks
Recurrent neural network is a powerful model that learns temporal patter...
research
∙
12/20/2014
Video (language) modeling: a baseline for generative models of natural videos
We propose a strong baseline model for unsupervised feature learning usi...
research
∙
10/15/2014
