Kuan-Chieh (Jackson) Wang
Kuan-Chieh (Jackson) Wang
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Cited by
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Neural relational inference for interacting systems
T Kipf, E Fetaya, KC Wang, M Welling, R Zemel
ICML, 2018
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
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
Centroid-based deep metric learning for speaker recognition
J Wang, KC Wang, MT Law, F Rudzicz, M Brudno
ICASSP, 2019
Classifying NBA offensive plays using neural networks
KC Wang, R Zemel
Proceedings of MIT Sloan Sports Analytics Conference 4, 2016
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
Adversarial distillation of bayesian neural network posteriors
KC Wang, P Vicol, J Lucas, L Gu, R Grosse, R Zemel
ICML, 2018
Understanding and mitigating exploding inverses in invertible neural networks
J Behrmann, P Vicol, KC Wang, R Grosse, JH Jacobsen
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
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, 1573-1587, 2014
Variational Model Inversion Attacks
KC Wang, Y Fu, K Li, AJ Khisti, R Zemel, A Makhzani
NeurIPS, 2021
Grad2Task: Improved Few-shot Text Classification Using Gradients for Task Representation
J Wang, KC Wang, F Rudzicz, M Brudno
NeurIPS, 2021
Few-Shot Attribute Learning
M Ren, E Triantafillou, KC Wang, J Lucas, J Snell, X Pitkow, AS Tolias, ...
Few-shot Out-of-Distribution Detection
K Wang, P Vicol, E Triantafillou, R Zemel
ICML Workshop on Uncertainty and Robustness in Deep Learning, 2020
Customizable Facial Gesture Recognition for Improved Assistive Technology
KC Wang, J Wang, K Truong, R Zemel
AI4SG workshop at ICLR, 2019
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
Disentanglement and Generalization Under Correlation Shifts
CM Funke, P Vicol, KC Wang, M Kümmerer, R Zemel, M Bethge
CoLLA, 2021
NeMo: 3D Neural Motion Fields from Multiple Video Instances of the Same Action
KC Wang, Z Weng, M Xenochristou, JP Araujo, J Gu, CK Liu, S Yeung
arXiv preprint arXiv:2212.13660, 2022
PROB: Probabilistic Objectness for Open World Object Detection
O Zohar, KC Wang, S Yeung
arXiv preprint arXiv:2212.01424, 2022
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
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