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
1616 2018 Simple baseline for visual question answering B Zhou, Y Tian, S Sukhbaatar, A Szlam, R Fergus
arXiv preprint arXiv:1512.02167, 2015
428 2015 Learning to Perform Local Rewriting for Combinatorial Optimization X Chen, Y Tian
NeurIPS 2019, 2019
424 2019 Understanding dimensional collapse in contrastive self-supervised learning L Jing, P Vincent, Y LeCun, Y Tian
ICLR 2022, 2021
399 2021 Efficient streaming language models with attention sinks G Xiao, Y Tian, B Chen, S Han, M Lewis
ICLR 2024, 2023
383 2023 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
372 2016 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
362 2020 Extending context window of large language models via positional interpolation S Chen, S Wong, L Chen, Y Tian
arXiv preprint arXiv:2306.15595, 2023
339 2023 Understanding self-supervised Learning Dynamics without Contrastive Pairs Y Tian, X Chen, S Ganguli
ICML 2021, 2021
333 2021 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
315 2018 Training agent for first-person shooter game with actor-critic curriculum learning Y Wu, Y Tian
ICLR 2017, 2017
283 2017 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
273 * 2017 Building Generalizable Agents with a Realistic and Rich 3D Environment Y Wu, Y Wu, G Gkioxari, Y Tian
ICLR workshop 2018, 2018
270 2018 Algorithmic Framework for Model-based Reinforcement Learning with Theoretical Guarantees H Xu, Y Li, Y Tian, T Darrell, T Ma
ICLR 2019, 2018
269 * 2018 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
266 2019 H Z Zhang, Y Sheng, T Zhou, T Chen, L Zheng, R Cai, Z Song, Y Tian, C Ré, ...
NeurIPS 2023, 2023
251 2023 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
249 2017 Deja vu: Contextual sparsity for efficient llms at inference time Z Liu, J Wang, T Dao, T Zhou, B Yuan, Z Song, A Shrivastava, C Zhang, ...
International Conference on Machine Learning, 22137-22176, 2023
242 2023 Semantic amodal segmentation Y Zhu, Y Tian, D Mexatas, P Dollár
CVPR 2017, 2015
203 2015 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
194 2007 
Srinivasa NarasimhanU. A. and Helen Whitaker Professor of Robotics, Carnegie Mellon universityAdresse e-mail validée de andrew.cmu.edu
