Anoop Korattikara
Google (United States)(US)
Publications by Year
Research Areas
Markov Chains and Monte Carlo Methods, Bayesian Methods and Mixture Models, Gaussian Processes and Bayesian Inference, Machine Learning and Algorithms, Advanced Neural Network Applications
Most-Cited Works
- → Speed/Accuracy Trade-Offs for Modern Convolutional Object Detectors(2017)2,638 cited
- → Im2Calories: Towards an Automated Mobile Vision Food Diary(2015)489 cited
- → Austerity in MCMC Land: Cutting the Metropolis-Hastings Budget(2013)167 cited
- → Bayesian Dark Knowledge(2015)135 cited
- → Bayesian Posterior Sampling via Stochastic Gradient Fisher Scoring(2012)114 cited
- → From Language to Goals: Inverse Reinforcement Learning for Vision-Based Instruction Following(2019)66 cited
- → Large-Scale Distributed Bayesian Matrix Factorization using Stochastic Gradient MCMC(2015)47 cited
- → Measuring the Reliability of Reinforcement Learning Algorithms(2019)41 cited