Jonathan Malmaud
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View article: OneStop: A 360-Participant English Eye Tracking Dataset with Different Reading Regimes
OneStop: A 360-Participant English Eye Tracking Dataset with Different Reading Regimes Open
We present OneStop Eye Movements, a large-scale corpus of eye movements in reading, in which native (L1) speakers read newswire texts in English and answer reading comprehension questions. OneStop has 152 hours of eye movement recordings f…
View article: OneStop: A 360-Participant English Eye Tracking Dataset with Different Reading Regimes
OneStop: A 360-Participant English Eye Tracking Dataset with Different Reading Regimes Open
We present OneStop Eye Movements, a large-scale corpus of eye movements in reading, in which native speakers read newswire texts in English and answer reading comprehension questions. OneStop has 152 hours of passage reading eye movement r…
View article: OneStop: A 360-Participant English Eye Tracking Dataset with Different Reading Regimes
OneStop: A 360-Participant English Eye Tracking Dataset with Different Reading Regimes Open
We present OneStop Eye Movements, a large-scale corpus of eye movements in reading, in which native speakers read newswire texts in English and answer reading comprehension questions. OneStop has 152 hours of passage reading eye movement r…
View article: Measuring The Impact Of Programming Language Distribution
Measuring The Impact Of Programming Language Distribution Open
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 issue, we present the BabelCode framework for execution-bas…
View article: Pareto-Optimal Quantized ResNet Is Mostly 4-bit
Pareto-Optimal Quantized ResNet Is Mostly 4-bit Open
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 size. Many real-world applications of neural networks have c…
View article: STARC: Structured Annotations for Reading Comprehension
STARC: Structured Annotations for Reading Comprehension Open
We present STARC (Structured Annotations for Reading Comprehension), a new annotation framework for assessing reading comprehension with multiple choice questions. Our framework introduces a principled structure for the answer choices and …
View article: Bridging Information-Seeking Human Gaze and Machine Reading Comprehension
Bridging Information-Seeking Human Gaze and Machine Reading Comprehension Open
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 machine reading comprehension. To this end, we collect a new eye…
View article: TensorFlow.jl: An Idiomatic Julia Front End for TensorFlow
TensorFlow.jl: An Idiomatic Julia Front End for TensorFlow Open
client library for the TensorFlow deep-learning
View article: What's Cookin'? Interpreting Cooking Videos using Text, Speech and\n Vision
What's Cookin'? Interpreting Cooking Videos using Text, Speech and\n Vision Open
We present a novel method for aligning a sequence of instructions to a video\nof someone carrying out a task. In particular, we focus on the cooking domain,\nwhere the instructions correspond to the recipe. Our technique relies on an HMM\n…
View article: What’s Cookin’? Interpreting Cooking Videos using Text, Speech and Vision
What’s Cookin’? Interpreting Cooking Videos using Text, Speech and Vision Open
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 correspond to the recipe. Our technique relies on an HMM to …