337 citations · 3k across the 78 of their papers we have counts for
5 papers · 1 filter
Unsupervised Transformation Learning via Convex Relaxations
Tatsunori B. Hashimoto, John C. Duchi, Percy Liang
Our goal is to extract meaningful transformations from raw images, such as varying the thickness of lines in handwriting or the lighting in a portrait. We propose an unsupervised a…
Macro Grammars and Holistic Triggering for Efficient Semantic Parsing
Yuchen Zhang, Panupong Pasupat, Percy Liang
To learn a semantic parser from denotations, a learning algorithm must search over a combinatorially large space of logical forms for ones consistent with the annotated denotations…
Adversarial Examples for Evaluating Reading Comprehension Systems
Robin Jia, Percy Liang
Standard accuracy metrics indicate that reading comprehension systems are making rapid progress, but the extent to which these systems truly understand language remains unclear. To…
Developing Bug-Free Machine Learning Systems With Formal Mathematics
Daniel Selsam, Percy Liang, David L. Dill
Noisy data, non-convex objectives, model misspecification, and numerical instability can all cause undesired behaviors in machine learning systems. As a result, detecting actual im…
Certified Defenses for Data Poisoning Attacks
Jacob Steinhardt, Pang Wei Koh, Percy Liang
Machine learning systems trained on user-provided data are susceptible to data poisoning attacks, whereby malicious users inject false training data with the aim of corrupting the…