Compass: Spatio temporal sentiment analysis of US election what twitter says! D Paul, F Li, MK Teja, X Yu, R Frost Proceedings of the 23rd ACM SIGKDD international conference on knowledge …, 2017 | 80 | 2017 |
Learning strict identity mappings in deep residual networks X Yu, Z Yu, S Ramalingam Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018 | 62 | 2018 |
VLASE: Vehicle localization by aggregating semantic edges X Yu, S Chaturvedi, C Feng, Y Taguchi, T Lee, C Fernandes, ... RSJ International Conference on Intelligent Robots and Systems (IROS), 3196-3203, 2018 | 48 | 2018 |
The Combinatorial Brain Surgeon: Pruning Weights That Cancel One Another in Neural Networks X Yu*, T Serra*, S Ramalingam, S Zhe Proceedings of the 39th International Conference on Machine Learning(ICML), 2022 | 27 | 2022 |
Scaling Up Exact Neural Network Compression by ReLU Stability T Serra, Y Xin, A Kumar, S Ramalingam Advances in Neural Information Processing Systems 34 proceedings (NeurIPS 2021), 2021 | 18 | 2021 |
Batch Multi-Fidelity Active Learning with Budget Constraints S Li, JM Phillips, X Yu, RM Kirby, S Zhe Advances in Neural Information Processing Systems 35 proceedings (NeurIPS 2022), 2022 | 9 | 2022 |
Recall Distortion in Neural Network Pruning and the Undecayed Pruning Algorithm G Aidan*, J Lin*, X Yu*, H Sieg, M Ferguson, S Zhe, J Wieczorek, T Serra Advances in Neural Information Processing Systems 35 proceedings (NeurIPS 2022), 2022 | 6* | 2022 |
Joint 3D Human Shape Recovery and Pose Estimation from a Single Image with Bilayer Graph X Yu, J van Baar, S Chen 2021 International Conference on 3D Vision (3DV), 2021 | 4 | 2021 |
Getting away with more network pruning: From sparsity to geometry and linear regions J Cai, KN Nguyen, N Shrestha, A Good, R Tu, X Yu, S Zhe, T Serra International Conference on Integration of Constraint Programming …, 2023 | 3 | 2023 |
Mapping of Sparse 3D Data using Alternating Projection S Ranade*, X Yu*, S Kakkar, P Miraldo, S Ramalingam Proceedings of the Asian Conference on Computer Vision (ACCV), 2020 | 3* | 2020 |
" Understanding Robustness Lottery": A Comparative Visual Analysis of Neural Network Pruning Approaches Z Li, S Liu, X Yu, K Bhavya, J Cao, DJ Daniel, PT Bremer, V Pascucci arXiv preprint arXiv:2206.07918, 2022 | 1 | 2022 |
Multi-Resolution Active Learning of Fourier Neural Operators S Li, X Yu, W Xing, R Kirby, A Narayan, S Zhe International Conference on Artificial Intelligence and Statistics, 2440-2448, 2024 | | 2024 |
Streaming Factor Trajectory Learning for Temporal Tensor Decomposition S Fang, X Yu, S Li, Z Wang, M Kirby, S Zhe Advances in Neural Information Processing Systems 36, 2024 | | 2024 |
Functional Bayesian Tucker Decomposition for Continuous-indexed Tensor Data S Fang, X Yu, Z Wang, S Li, M Kirby, S Zhe arXiv preprint arXiv:2311.04829, 2023 | | 2023 |