26 citations · 49 across the 5 of their papers we have counts for
6 papers
Measuring The Impact Of Programming Language Distribution
Gabriel Orlanski, Kefan Xiao, Xavier Garcia +6
Current benchmarks for evaluating neural code models focus on only a small subset of programming languages, excluding many popular languages such as Go or Rust. To ameliorate this…
Pareto-Optimal Quantized ResNet Is Mostly 4-bit
AmirAli Abdolrashidi, Lisa Wang, Shivani Agrawal +4
Quantization has become a popular technique to compress neural networks and reduce compute cost, but most prior work focuses on studying quantization without changing the network s…
Bridging Information-Seeking Human Gaze and Machine Reading Comprehension
Jonathan Malmaud, Roger Levy, Yevgeni Berzak
In this work, we analyze how human gaze during reading comprehension is conditioned on the given reading comprehension question, and whether this signal can be beneficial for machi…
STARC: Structured Annotations for Reading Comprehension
Yevgeni Berzak, Jonathan Malmaud, Roger Levy
We present STARC (Structured Annotations for Reading Comprehension), a new annotation framework for assessing reading comprehension with multiple choice questions. Our framework in…
What's Cookin'? Interpreting Cooking Videos using Text, Speech and Vision
Jonathan Malmaud, Jonathan Huang, Vivek Rathod +3
We present a novel method for aligning a sequence of instructions to a video of someone carrying out a task. In particular, we focus on the cooking domain, where the instructions c…
ClusterCluster: Parallel Markov Chain Monte Carlo for Dirichlet Process Mixtures
Dan Lovell, Jonathan Malmaud, Ryan P. Adams +1
The Dirichlet process (DP) is a fundamental mathematical tool for Bayesian nonparametric modeling, and is widely used in tasks such as density estimation, natural language processi…