Neural relational inference for interacting systems T Kipf, E Fetaya, KC Wang, M Welling, R Zemel ICML, 2018 | 934 | 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 | 542 | 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 | 202 | 2019 |
Centroid-based deep metric learning for speaker recognition J Wang, KC Wang, MT Law, F Rudzicz, M Brudno ICASSP, 2019 | 115 | 2019 |
Classifying NBA offensive plays using neural networks KC Wang, R Zemel Proceedings of MIT Sloan Sports Analytics Conference 4, 2016 | 108 | 2016 |
Understanding and mitigating exploding inverses in invertible neural networks J Behrmann, P Vicol, KC Wang, R Grosse, JH Jacobsen AISTATS, 2021 | 99 | 2021 |
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 | 99 | 2020 |
Variational Model Inversion Attacks KC Wang, Y Fu, K Li, AJ Khisti, R Zemel, A Makhzani NeurIPS, 2021 | 97 | 2021 |
Adversarial distillation of bayesian neural network posteriors KC Wang, P Vicol, J Lucas, L Gu, R Grosse, R Zemel ICML, 2018 | 73 | 2018 |
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 | 47 | 2017 |
PROB: Probabilistic Objectness for Open World Object Detection O Zohar, KC Wang, S Yeung CVPR, 2023 | 37 | 2023 |
Diagnosing and Rectifying Vision Models using Language Y Zhang, JZ HaoChen, SC Huang, KC Wang, J Zou, S Yeung ICLR, 2023 | 36* | 2023 |
Dualing GANs Y Li, A Schwing, KC Wang, R Zemel NIPS, 5606-5616, 2017 | 31 | 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 | 19 | 2014 |
Grad2Task: Improved Few-shot Text Classification Using Gradients for Task Representation J Wang, KC Wang, F Rudzicz, M Brudno NeurIPS, 2021 | 18 | 2021 |
Few-shot Out-of-Distribution Detection K Wang, P Vicol, E Triantafillou, R Zemel ICML Workshop on Uncertainty and Robustness in Deep Learning, 2020 | 13* | 2020 |
Few-Shot Attribute Learning M Ren, E Triantafillou, KC Wang, J Lucas, J Snell, X Pitkow, AS Tolias, ... | 11* | 2021 |
LOVM: Language-Only Vision Model Selection O Zohar, SC Huang, KC Wang, S Yeung NeurIPS Dataset & Benchmark, 2023 | 8 | 2023 |
Domain Adaptive 3D Pose Augmentation for In-the-wild Human Mesh Recovery Z Weng, KC Wang, A Kanazawa, S Yeung 3DV, 2022 | 8 | 2022 |
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 | 7 | 2015 |