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05/08/2021
Protecting Individual Interests across Clusters: Spectral Clustering with Guarantees
Studies related to fairness in machine learning have recently gained tra...
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05/25/2020
Contradistinguisher: Applying Vapnik's Philosophy to Unsupervised Domain Adaptation
A complex combination of simultaneous supervised-unsupervised learning i...
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05/03/2017
Amortized Inference and Learning in Latent Conditional Random Fields for Weakly-Supervised Semantic Image Segmentation
Conditional random fields (CRFs) are commonly employed as a post-process...
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02/12/2017
Spectral Clustering via Graph Filtering: Consistency on the High-Dimensional Stochastic Block Model
Spectral clustering is amongst the most popular methods for community de...
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11/15/2016
A Neural Architecture Mimicking Humans End-to-End for Natural Language Inference
In this work we use the recent advances in representation learning to pr...
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02/13/2016
