Hi, I am a research engineer at Apple working on machine learning. My email is: [first name] + [last name] + 14 at gmail dot com.

Bio

I received my PhD from Princeton University in 2019 doing research in meta-learning. I attended University of Wisconsin-Madison as an undergraduate and received a B.S. in Computer Science and a B.S. in Mathematics in 2012. In the past I have done internships at Amazon and Twitter Cortex. My CV can be found here.

Research

My research interests are in deep learning and its applications in computer vision and natural language processing.

Papers

CONFERENCE PAPERS

  • Amortized Bayesian Meta-Learning
    Sachin Ravi and Alex Beatson
    International Conference on Learning Representations (ICLR), 2019
    [pdf]

  • Meta Learning for Semi-Supervised Few-Shot Classification
    Mengye Ren, Eleni Triantafillou*, Sachin Ravi*, Jake Snell, Kevin Swersky, Joshua B. Tenenbaum,
    Hugo Larochelle, Richard S. Zemel
    International Conference on Learning Representations (ICLR), 2018
    [pdf]

  • Optimization as a Model for Few-Shot Learning
    Sachin Ravi and Hugo Larochelle
    International Conference on Learning Representations (ICLR), 2017 [Oral Presentation]
    [pdf] [code]

WORKSHOP PAPERS & PRE-PRINTS

  • Amortized Bayesian Meta-Learning
    Sachin Ravi and Alex Beatson
    NeurIPS Workshop on Meta-Learning, 2018
    [pdf]

  • Meta Learning for Batch Mode Active Learning
    Sachin Ravi and Hugo Larochelle
    International Conference on Learning Representations (ICLR) Workshop, 2018
    [pdf]

  • Learning the Dimensionality of Word Embeddings
    *Eric Nalisnick and *Sachin Ravi
    [pdf] [code]

Talks

  • Optimization as a Model for Few-Shot Learning
    International Conference on Learning Representations (ICLR). Toulon, France. May 2017.
    [slides] [video]

Teaching

  • Assistant Instructor, Princeton University
    COS 424, Interacting with Data : Spring 2014
    Advanced undergraduate course focusing on analyzing complex data sets using techniques from machine learning.

  • Assistant Instructor, Princeton University
    COS 423, Theory of Algorithms : Spring 2013
    Advanced undergraduate course involving the design and analysis of efficient data structure and algorithms.

  • Assistant Instructor, Princeton University
    COS 126, General Computer Science : Fall 2012, Fall 2013
    Course which introduces students to programming in Java and important concepts in computer science.