Search Results for author: Aaron Chan

Found 11 papers, 4 papers with code

ER-TEST Evaluating Explanation Regularization Methods for NLP Models

no code implementations NAACL (TrustNLP) 2022 Brihi Joshi, Aaron Chan, Ziyi Liu, Xiang Ren

For the latter, explanation regularization (ER) aims to improve NLM generalization by pushing the machine rationales to align with human rationales.

FRAME: Evaluating Simulatability Metrics for Free-Text Rationales

no code implementations2 Jul 2022 Aaron Chan, Shaoliang Nie, Liang Tan, Xiaochang Peng, Hamed Firooz, Maziar Sanjabi, Xiang Ren

Free-text rationales aim to explain neural language model (LM) behavior more flexibly and intuitively via natural language.

Language Modelling Text Classification

ER-TEST: Evaluating Explanation Regularization Methods for NLP Models

no code implementations25 May 2022 Brihi Joshi, Aaron Chan, Ziyi Liu, Shaoliang Nie, Maziar Sanjabi, Hamed Firooz, Xiang Ren

Plus, little is understood about how ER model performance is affected by the choice of ER criteria or by the number/choice of training instances with human rationales.

UNIREX: A Unified Learning Framework for Language Model Rationale Extraction

no code implementations BigScience (ACL) 2022 Aaron Chan, Maziar Sanjabi, Lambert Mathias, Liang Tan, Shaoliang Nie, Xiaochang Peng, Xiang Ren, Hamed Firooz

An extractive rationale explains a language model's (LM's) prediction on a given task instance by highlighting the text inputs that most influenced the prediction.

Language Modelling Text Classification

TRACE: A Differentiable Approach to Line-level Stroke Recovery for Offline Handwritten Text

no code implementations24 May 2021 Taylor Archibald, Mason Poggemann, Aaron Chan, Tony Martinez

We demonstrate that temporal stroke information recovered by TRACE from offline data can be used for handwriting synthesis and establish the first benchmarks for a stroke trajectory recovery system trained on the IAM online handwriting dataset.

Dynamic Time Warping Handwriting Recognition

Periodic trivial extension algebras and fractionally Calabi-Yau algebras

no code implementations22 Dec 2020 Aaron Chan, Erik Darpö, Osamu Iyama, René Marczinzik

We also show that the class of twisted fractionally Calabi-Yau algebras is closed under derived equivalence, answering a question by Herschend and Iyama.

Representation Theory Rings and Algebras 16G10, 16D50, 16E05, 16E65

Egocentric Basketball Motion Planning from a Single First-Person Image

no code implementations CVPR 2018 Gedas Bertasius, Aaron Chan, Jianbo Shi

We present a model that uses a single first-person image to generate an egocentric basketball motion sequence in the form of a 12D camera configuration trajectory, which encodes a player's 3D location and 3D head orientation throughout the sequence.

Motion Planning

6-DoF Object Pose from Semantic Keypoints

1 code implementation14 Mar 2017 Georgios Pavlakos, Xiaowei Zhou, Aaron Chan, Konstantinos G. Derpanis, Kostas Daniilidis

This paper presents a novel approach to estimating the continuous six degree of freedom (6-DoF) pose (3D translation and rotation) of an object from a single RGB image.

Keypoint Detection Translation

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