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
1647 2018 Efficient streaming language models with attention sinks G Xiao, Y Tian, B Chen, S Han, M Lewis
ICLR 2024, 2023
502 2023 Learning to Perform Local Rewriting for Combinatorial Optimization X Chen, Y Tian
NeurIPS 2019, 2019
443 2019 Simple baseline for visual question answering B Zhou, Y Tian, S Sukhbaatar, A Szlam, R Fergus
arXiv preprint arXiv:1512.02167, 2015
430 2015 Understanding dimensional collapse in contrastive self-supervised learning L Jing, P Vincent, Y LeCun, Y Tian
ICLR 2022, 2021
419 2021 Extending context window of large language models via positional interpolation S Chen, S Wong, L Chen, Y Tian
arXiv preprint arXiv:2306.15595, 2023
396 2023 A cookbook of self-supervised learning R Balestriero, M Ibrahim, V Sobal, A Morcos, S Shekhar, T Goldstein, ...
arXiv preprint arXiv:2304.12210, 2023
378 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
373 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
368 2020 H Z Zhang, Y Sheng, T Zhou, T Chen, L Zheng, R Cai, Z Song, Y Tian, C Ré, ...
NeurIPS 2023, 2023
346 2023 Understanding self-supervised Learning Dynamics without Contrastive Pairs Y Tian, X Chen, S Ganguli
ICML 2021, 2021
338 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
321 2018 Training agent for first-person shooter game with actor-critic curriculum learning Y Wu, Y Tian
ICLR 2017, 2017
287 2017 Algorithmic Framework for Model-based Reinforcement Learning with Theoretical Guarantees H Xu, Y Li, Y Tian, T Darrell, T Ma
ICLR 2019, 2018
284 * 2018 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
280 2023 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
277 2019 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
277 * 2017 Building Generalizable Agents with a Realistic and Rich 3D Environment Y Wu, Y Wu, G Gkioxari, Y Tian
ICLR workshop 2018, 2018
275 2018 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
256 2017 Semantic amodal segmentation Y Zhu, Y Tian, D Mexatas, P Dollár
CVPR 2017, 2015
201 2015 
Srinivasa NarasimhanU. A. and Helen Whitaker Professor of Robotics, Carnegie Mellon universityEmail được xác minh tại andrew.cmu.edu