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Yuandong Tian
Yuandong Tian
Research Scientist, Meta AI (FAIR)
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Title
Cited by
Cited by
Year
FBNet: Hardware-Aware Efficient ConvNet Design via Differentiable Neural Architecture Search
B Wu, X Dai, P Zhang, Y Wang, F Sun, Y Wu, Y Tian, P Vajda, Y Jia, ...
CVPR 2019, 2018
13432018
Simple baseline for visual question answering
B Zhou, Y Tian, S Sukhbaatar, A Szlam, R Fergus
arXiv preprint arXiv:1512.02167, 2015
3872015
Single image 3d interpreter network
J Wu, T Xue, JJ Lim, Y Tian, JB Tenenbaum, A Torralba, WT Freeman
Computer Vision–ECCV 2016: 14th European Conference, Amsterdam, The …, 2016
3612016
Learning to Perform Local Rewriting for Combinatorial Optimization
X Chen, Y Tian
NeurIPS 2019, 2019
2902019
Fbnetv2: Differentiable neural architecture search for spatial and channel dimensions
A Wan, X Dai, P Zhang, Z He, Y Tian, S Xie, B Wu, M Yu, T Xu, K Chen, ...
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020
2752020
Training agent for first-person shooter game with actor-critic curriculum learning
Y Wu, Y Tian
ICLR 2017, 2017
2592017
An analytical formula of population gradient for two-layered relu network and its applications in convergence and critical point analysis
Y Tian
Proceedings of the 34th International Conference on Machine Learning-Volume …, 2017
252*2017
Mixed precision quantization of convnets via differentiable neural architecture search
B Wu, Y Wang, P Zhang, Y Tian, P Vajda, K Keutzer
arXiv preprint arXiv:1812.00090, 2018
2362018
Understanding self-supervised Learning Dynamics without Contrastive Pairs
Y Tian, X Chen, S Ganguli
ICML 2021, 2021
2342021
Building Generalizable Agents with a Realistic and Rich 3D Environment
Y Wu, Y Wu, G Gkioxari, Y Tian
ICLR workshop 2018, 2018
2322018
Gradient Descent Learns One-hidden-layer CNN: Don't be Afraid of Spurious Local Minima
SS Du, JD Lee, Y Tian, B Poczos, A Singh
ICML 2018, 2017
2302017
Understanding dimensional collapse in contrastive self-supervised learning
L Jing, P Vincent, Y LeCun, Y Tian
ICLR 2022, 2021
2182021
One ticket to win them all: generalizing lottery ticket initializations across datasets and optimizers
AS Morcos, H Yu, M Paganini, Y Tian
NeurIPS 2019, 2019
2182019
Algorithmic Framework for Model-based Reinforcement Learning with Theoretical Guarantees
H Xu, Y Li, Y Tian, T Darrell, T Ma
ICLR 2019, 2018
214*2018
Easyalbum: an interactive photo annotation system based on face clustering and re-ranking
J Cui, F Wen, R Xiao, Y Tian, X Tang
Proceedings of the SIGCHI conference on Human factors in computing systems …, 2007
1882007
Exploring the spatial hierarchy of mixture models for human pose estimation
Y Tian, CL Zitnick, SG Narasimhan
Computer Vision–ECCV 2012: 12th European Conference on Computer Vision …, 2012
1812012
Semantic amodal segmentation
Y Zhu, Y Tian, D Mexatas, P Dollár
CVPR 2017, 2015
1552015
ELF: An Extensive, Lightweight and Flexible Research Platform for Real-time Strategy Games
Y Tian, Q Gong, W Shang, Y Wu, L Zitnick
NIPS 2017, 2017
1402017
ELF OpenGo: An Analysis and Open Reimplementation of AlphaZero
Y Tian, J Ma, Q Gong, S Sengupta, Z Chen, J Pinkerton, CL Zitnick
ICML 2019, 2019
137*2019
Playing the lottery with rewards and multiple languages: lottery tickets in RL and NLP
H Yu, S Edunov, Y Tian, AS Morcos
ICLR 2020, 2019
1312019
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