R
Ruslan Salakhutdinov
Researcher at Carnegie Mellon University
Publications - 457
Citations - 142495
Ruslan Salakhutdinov is an academic researcher from Carnegie Mellon University. The author has contributed to research in topics: Computer science & Artificial neural network. The author has an hindex of 107, co-authored 410 publications receiving 115921 citations. Previous affiliations of Ruslan Salakhutdinov include Carnegie Learning & University of Toronto.
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Unsupervised Learning of Video Representations using LSTMs
TL;DR: This work uses Long Short Term Memory networks to learn representations of video sequences and evaluates the representations by finetuning them for a supervised learning problem - human action recognition on the UCF-101 and HMDB-51 datasets.
Posted Content
HotpotQA: A Dataset for Diverse, Explainable Multi-hop Question Answering
Zhilin Yang,Peng Qi,Saizheng Zhang,Yoshua Bengio,William W. Cohen,Ruslan Salakhutdinov,Christopher D. Manning +6 more
TL;DR: It is shown that HotpotQA is challenging for the latest QA systems, and the supporting facts enable models to improve performance and make explainable predictions.
Proceedings Article
Hamming Distance Metric Learning
TL;DR: A new loss-augmented inference algorithm that is quadratic in the code length and inspired by latent structural SVMs is developed, showing strong retrieval performance on CIFAR-10 and MNIST, with promising classification results using no more than kNN on the binary codes.
Proceedings Article
Importance Weighted Autoencoders
TL;DR: The importance weighted autoencoder (IWAE) as mentioned in this paper uses a strictly tighter log-likelihood lower bound derived from importance weighting to model complex posteriors which do not fit the VAE modeling assumptions.
Proceedings Article
On Exact Computation with an Infinitely Wide Neural Net
TL;DR: The current paper gives the first efficient exact algorithm for computing the extension of NTK to convolutional neural nets, which it is called Convolutional NTK (CNTK), as well as an efficient GPU implementation of this algorithm.