6 citations · 15 across the 6 of their papers we have counts for
9 papers
Monotone deep Boltzmann machines
Zhili Feng, Ezra Winston, J. Zico Kolter
Deep Boltzmann machines (DBMs), one of the first ``deep'' learning methods ever studied, are multi-layered probabilistic models governed by a pairwise energy function that describe…
Text Descriptions are Compressive and Invariant Representations for Visual Learning
Zhili Feng, Anna Bair, J. Zico Kolter
Modern image classification is based upon directly predicting classes via large discriminative networks, which do not directly contain information about the intuitive visual featur…
Non-PSD Matrix Sketching with Applications to Regression and Optimization
Zhili Feng, Fred Roosta, David P. Woodruff
A variety of dimensionality reduction techniques have been applied for computations involving large matrices. The underlying matrix is randomly compressed into a smaller one, while…
Provable Adaptation across Multiway Domains via Representation Learning
Zhili Feng, Shaobo Han, Simon S. Du
This paper studies zero-shot domain adaptation where each domain is indexed on a multi-dimensional array, and we only have data from a small subset of domains. Our goal is to produ…
A Structured Learning Approach to Temporal Relation Extraction
Qiang Ning, Zhili Feng, Dan Roth
Identifying temporal relations between events is an essential step towards natural language understanding. However, the temporal relation between two events in a story depends on,…
Joint Reasoning for Temporal and Causal Relations
Qiang Ning, Zhili Feng, Hao Wu +1
Understanding temporal and causal relations between events is a fundamental natural language understanding task. Because a cause must be before its effect in time, temporal and cau…