384 citations · 2.3k across the 48 of their papers we have counts for
Showing 2015Show all
3 papers · 1 filter
cs.LG2015★ 39 cited
Why are deep nets reversible: A simple theory, with implications for training
Sanjeev Arora, Yingyu Liang, Tengyu Ma
Generative models for deep learning are promising both to improve understanding of the model, and yield training methods requiring fewer labeled samples. Recent works use generativ…
cs.LG2015★ 85 cited
Simple, Efficient, and Neural Algorithms for Sparse Coding
Sanjeev Arora, Rong Ge, Tengyu Ma +1
Sparse coding is a basic task in many fields including signal processing, neuroscience and machine learning where the goal is to learn a basis that enables a sparse representation…
cs.LG2015★ 1 cited
A Latent Variable Model Approach to PMI-based Word Embeddings
Sanjeev Arora, Yuanzhi Li, Yingyu Liang +2
Semantic word embeddings represent the meaning of a word via a vector, and are created by diverse methods. Many use nonlinear operations on co-occurrence statistics, and have hand-…