Albert Cohen

Artificial Intelligence · arXiv.org · 2013–2021

A researcher in the Science corpus: 4 papers; trusts 1 researcher and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Albert Cohen trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Sven Verdoolaege
  2. Uday Bondhugula
  3. Shane Ryoo

Who trusts Albert Cohen overall

  1. Tianqi Chen

Papers from Albert Cohen's perspective

Ordered by how strongly the researchers Albert Cohen trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  2. ImageNet classification with deep convolutional neural networks
  3. Code generation in the polyhedral model is easier than you think (Proceedings. 13th International Conference on Parallel Architecture and Compilation Techniques, 2004. PACT 2004.)
  4. Practical Bayesian Optimization of Machine Learning Algorithms
  5. TensorFlow: A system for large-scale machine learning
  6. Optimization principles and application performance evaluation of a multithreaded GPU using CUDA (ACM SIGPLAN Symposium on Principles & Practice of Parallel Programming)
  7. Improving neural networks by preventing co-adaptation of feature detectors
  8. A practical automatic polyhedral parallelizer and locality optimizer (ACM-SIGPLAN Symposium on Programming Language Design and Implementation)
  9. Aggregated Residual Transformations for Deep Neural Networks
  10. Optimizing Compilers for Modern Architectures: A Dependence-based Approach

Their papers