290 citations
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5 papers · 1 filter
Unsupervised Learning of Spatiotemporally Coherent Metrics
Ross Goroshin, Joan Bruna, Jonathan Tompson +2
Current state-of-the-art classification and detection algorithms rely on supervised training. In this work we study unsupervised feature learning in the context of temporally coher…
A Credit Assignment Compiler for Joint Prediction
Kai-Wei Chang, He He, Hal Daumé +2
Many machine learning applications involve jointly predicting multiple mutually dependent output variables. Learning to search is a family of methods where the complex decision pro…
Learning Fine-grained Image Similarity with Deep Ranking
Jiang Wang, Yang song, Thomas Leung +5
Learning fine-grained image similarity is a challenging task. It needs to capture between-class and within-class image differences. This paper proposes a deep ranking model that em…
String Reconstruction from Substring Compositions
Jayadev Acharya, Hirakendu Das, Olgica Milenkovic +2
Motivated by mass-spectrometry protein sequencing, we consider a simply-stated problem of reconstructing a string from the multiset of its substring compositions. We show that all…
A Stochastic Quasi-Newton Method for Large-Scale Optimization
R. H. Byrd, S. L. Hansen, J. Nocedal +1
The question of how to incorporate curvature information in stochastic approximation methods is challenging. The direct application of classical quasi- Newton updating techniques f…