2.2k citations
- IBM (United States)US73 papers
- Stanford UniversityUS62 papers
- IBM Research - Thomas J. Watson Research CenterUS42 papers
- University of California, BerkeleyUS22 papers
- IBM Research - ZurichCH21 papers
- California Institute of TechnologyUS20 papers
- École Polytechnique Fédérale de LausanneCH15 papers
- Massachusetts Institute of TechnologyUS14 papers
- Max Planck Institute of Microstructure PhysicsDE13 papers
- ETH ZurichCH10 papers
- Princeton UniversityUS10 papers
- SLAC National Accelerator LaboratoryUS10 papers
Showing 2018 · cs.LGShow all
3 papers · 2 filters
cs.LG2018★ 72 cited
A Hybrid Approach to Privacy-Preserving Federated Learning
Stacey Truex, Nathalie Baracaldo, Ali Anwar +4
Federated learning facilitates the collaborative training of models without the sharing of raw data. However, recent attacks demonstrate that simply maintaining data locality durin…
cs.LG2018
Using Multi-task and Transfer Learning to Solve Working Memory Tasks
T. S. Jayram, Tomasz Kornuta, Ryan L. McAvoy +1
We propose a new architecture called Memory-Augmented Encoder-Solver (MAES) that enables transfer learning to solve complex working memory tasks adapted from cognitive psychology.…
cs.LG2018★ 9 cited
Improved Sentence Modeling using Suffix Bidirectional LSTM
Siddhartha Brahma
Recurrent neural networks have become ubiquitous in computing representations of sequential data, especially textual data in natural language processing. In particular, Bidirection…