Anoop Korattikara

Publication Activity (10 Years)

Years Active: 2015-2020
Publications (10 Years): 7

Top Topics

Reinforcement Learning

Object Detectors

Top Venues

Publications

Stephanie C. Y. Chan, Samuel Fishman, Anoop Korattikara, John F. Canny, Sergio Guadarrama
Measuring the Reliability of Reinforcement Learning Algorithms. ICLR (2020)
Justin Fu, Anoop Korattikara, Sergey Levine, Sergio Guadarrama
From Language to Goals: Inverse Reinforcement Learning for Vision-Based Instruction Following. ICLR (Poster) (2019)
Stephanie C. Y. Chan, Sam Fishman, John F. Canny, Anoop Korattikara, Sergio Guadarrama
Measuring the Reliability of Reinforcement Learning Algorithms. CoRR (2019)
Justin Fu, Anoop Korattikara, Sergey Levine, Sergio Guadarrama
From Language to Goals: Inverse Reinforcement Learning for Vision-Based Instruction Following. CoRR (2019)
Jonathan Huang, Vivek Rathod, Chen Sun, Menglong Zhu, Anoop Korattikara, Alireza Fathi, Ian Fischer, Zbigniew Wojna, Yang Song, Sergio Guadarrama, Kevin Murphy
Speed/Accuracy Trade-Offs for Modern Convolutional Object Detectors. CVPR (2017)
Jonathan Huang, Vivek Rathod, Chen Sun, Menglong Zhu, Anoop Korattikara, Alireza Fathi, Ian Fischer, Zbigniew Wojna, Yang Song, Sergio Guadarrama, Kevin Murphy
Speed/accuracy trade-offs for modern convolutional object detectors. CoRR (2016)
Anoop Korattikara, Yutian Chen, Max Welling
Sequential Tests for Large-Scale Learning. Neural Comput. 28 (1) (2016)
Austin Myers, Nick Johnston, Vivek Rathod, Anoop Korattikara, Alexander N. Gorban, Nathan Silberman, Sergio Guadarrama, George Papandreou, Jonathan Huang, Kevin Murphy
Im2Calories: Towards an Automated Mobile Vision Food Diary. ICCV (2015)
Sungjin Ahn, Anoop Korattikara, Nathan Liu, Suju Rajan, Max Welling
Large-Scale Distributed Bayesian Matrix Factorization using Stochastic Gradient MCMC. KDD (2015)