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Kuan-Chieh (Jackson) Wang
Kuan-Chieh (Jackson) Wang
Verified email at utoronto.ca - Homepage
Title
Cited by
Cited by
Year
Neural relational inference for interacting systems
T Kipf, E Fetaya, KC Wang, M Welling, R Zemel
ICML, 2018
5482018
Your Classifier is Secretly an Energy Based Model and You Should Treat it Like One
W Grathwohl, KC Wang, JH Jacobsen, D Duvenaud, M Norouzi, ...
ICLR, 2019
2552019
Lingvo: a modular and scalable framework for sequence-to-sequence modeling
J Shen, P Nguyen, Y Wu, Z Chen, MX Chen, Y Jia, A Kannan, T Sainath, ...
Tech report, 2019
1472019
Centroid-based deep metric learning for speaker recognition
J Wang, KC Wang, MT Law, F Rudzicz, M Brudno
ICASSP, 2019
922019
Classifying NBA offensive plays using neural networks
KC Wang, R Zemel
Proceedings of MIT Sloan Sports Analytics Conference 4, 2016
732016
Learning the stein discrepancy for training and evaluating energy-based models without sampling
W Grathwohl, KC Wang, JH Jacobsen, D Duvenaud, R Zemel
ICML, 2020
54*2020
Adversarial distillation of bayesian neural network posteriors
KC Wang, P Vicol, J Lucas, L Gu, R Grosse, R Zemel
ICML, 2018
502018
Understanding and mitigating exploding inverses in invertible neural networks
J Behrmann, P Vicol, KC Wang, R Grosse, JH Jacobsen
AISTATS, 2021
462021
A systematic review of ultrasound imaging as a tool for evaluating haemophilic arthropathy in children and adults
CC Ligocki, A Abadeh, KC Wang, T Adams‐Webber, VS Blanchette, ...
Haemophilia 23 (4), 598-612, 2017
332017
Evidence-based outcomes on diagnostic accuracy of quantitative ultrasound for assessment of pediatric osteoporosis—a systematic review
KC Wang, KC Wang, A Amirabadi, E Cheung, E Uleryk, R Moineddin, ...
Pediatric radiology 44 (12), 1573-1587, 2014
192014
Variational Model Inversion Attacks
KC Wang, Y Fu, K Li, AJ Khisti, R Zemel, A Makhzani
NeurIPS, 2021
62021
Few-Shot Attribute Learning
M Ren, E Triantafillou, KC Wang, J Lucas, J Snell, X Pitkow, AS Tolias, ...
arXiv preprint arXiv:2012.05895, 2020
6*2020
Customizable Facial Gesture Recognition for Improved Assistive Technology
KC Wang, J Wang, K Truong, R Zemel
AI4SG workshop at ICLR, 2019
42019
Longitudinal assessment of bone loss using quantitative ultrasound in a blood‐induced arthritis rabbit model
KC Wang, A Amirabadi, KC Wang, R Moineddin, R Jong, C Tomlinson, ...
Haemophilia 21 (5), e402-e410, 2015
42015
Grad2Task: Improved Few-shot Text Classification Using Gradients for Task Representation
J Wang, KC Wang, F Rudzicz, M Brudno
NeurIPS, 2021
32021
Few-shot Out-of-Distribution Detection
K Wang, P Vicol, E Triantafillou, R Zemel
ICML Workshop on Uncertainty and Robustness in Deep Learning, 2020
32020
Domain Adaptive 3D Pose Augmentation for In-the-wild Human Mesh Recovery
Z Weng, KC Wang, A Kanazawa, S Yeung
arXiv preprint arXiv:2206.10457, 2022
2022
Towards Reliably Handling Inputs Not From the Training Distribution
KC Wang
University of Toronto, 2022
2022
Disentanglement and Generalization Under Correlation Shifts
CM Funke, P Vicol, KC Wang, M Kümmerer, R Zemel, M Bethge
CoLLA, 2021
2021
Few Shot Image Generation via Implicit Autoencoding of Support Sets
A Huang, KC Wang, G Rabusseau, A Makhzani
Fifth Workshop on Meta-Learning at NeurIPS, 2021
2021
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Articles 1–20