Papers
2,804 papers found
Scaling Laws for Acoustic Models
Jasha Droppo, Oguz Elibol
Scaling Laws for Discriminative Speech Recognition Rescoring Models
Yile Gu, Prashanth Gurunath Shivakumar, Jari Kolehmainen et al.
Scaling Laws from the Data Manifold Dimension
Utkarsh Sharma, Jared Kaplan
Scaling Laws for Conditional Emergence of Multilingual Image Captioning via Generalization from Translation
Julian Spravil, Sebastian Houben, Sven Behnke
Graph Laplacian Regularization for Large-Scale Semidefinite Programming
Kilian Q. Weinberger, Fei Sha, Qihui Zhu et al.
Learning from Multiple Sources
Koby Crammer, Michael Kearns, Jennifer Wortman
Large-Scale Sparsified Manifold Regularization
Ivor W. Tsang, James T. Kwok
Statistical Modeling of Images with Fields of Gaussian Scale Mixtures
Siwei Lyu, Eero P. Simoncelli
A Scalable Machine Learning Approach to Go
Lin Wu, Pierre F. Baldi
Clustering appearance and shape by learning jigsaws
Anitha Kannan, John Winn, Carsten Rother
Scalable Discriminative Learning for Natural Language Parsing and Translation
Joseph Turian, Benjamin Wellington, I. D. Melamed
Large Scale Hidden Semi-Markov SVMs
Gunnar Rätsch, Sören Sonnenburg
Random Features for Large-Scale Kernel Machines
Ali Rahimi, Benjamin Recht
The Tradeoffs of Large Scale Learning
Léon Bottou, Olivier Bousquet
Mining Internet-Scale Software Repositories
Erik Linstead, Paul Rigor, Sushil Bajracharya et al.
A Randomized Algorithm for Large Scale Support Vector Learning
Krishnan Kumar, Chiru Bhattacharya, Ramesh Hariharan
A Scalable Hierarchical Distributed Language Model
Andriy Mnih, Geoffrey E. Hinton
Stochastic Relational Models for Large-scale Dyadic Data using MCMC
Shenghuo Zhu, Kai Yu, Yihong Gong
Kernelized Sorting
Novi Quadrianto, Le Song, Alex J. Smola
Supervised Dictionary Learning
Julien Mairal, Jean Ponce, Guillermo Sapiro et al.
Multi-label Multiple Kernel Learning
Shuiwang Ji, Liang Sun, Rong Jin et al.
Spectral Hashing
Yair Weiss, Antonio Torralba, Rob Fergus
Nonlinear Learning using Local Coordinate Coding
Kai Yu, Tong Zhang, Yihong Gong
Group Sparse Coding
Samy Bengio, Fernando Pereira, Yoram Singer et al.
Compositionality of optimal control laws
Emanuel Todorov