Tao Lin
Tao Lin
PhD student, EPFL
Verified email at epfl.ch - Homepage
Title
Cited by
Cited by
Year
Fog orchestration for internet of things services
Z Wen, R Yang, P Garraghan, T Lin, J Xu, M Rovatsos
IEEE Internet Computing 21 (2), 16-24, 2017
2182017
Don't Use Large Mini-Batches, Use Local SGD
T Lin, SU Stich, KK Patel, M Jaggi
ICLR 2020 - International Conference on Learning Representations, 2020
1372020
Hybrid Neural Networks for Learning the Trend in Time Series
T Lin*, T Guo*, K Aberer
IJCAI 2017 - Proceedings of the Twenty-Sixth International Joint Conference …, 2017
682017
Decentralized Deep Learning with Arbitrary Communication Compression
A Koloskova*, T Lin*, SU Stich, M Jaggi
ICLR 2020 - International Conference on Learning Representations, 2020
372020
Exploring interpretable LSTM neural networks over multi-variable data
T Guo, T Lin, N Antulov-Fantulin
ICML 2019 - International Conference on Machine Learning, 2494-2504, 2019
302019
Training DNNs with Hybrid Block Floating Point
M Drumond, T Lin, M Jaggi, B Falsafi
NeurIPS 2018 - Advances in Neural Information Processing Systems, 2018, 2018
23*2018
An Integrated Systems Genetics and Omics Toolkit to Probe Gene Function
H Li*, X Wang*, D Rukina, Q Huang, T Lin, V Sorrentino, H Zhang, ...
Cell systems 6 (1), 90-102. e4, 2018
212018
An interpretable LSTM neural network for autoregressive exogenous model
T Guo*, T Lin*, Y Lu
arXiv preprint arXiv:1804.05251, 2018
192018
Dynamic Model Pruning with Feedback
T Lin, SU Stich, L Barba, D Dmitriev, M Jaggi
ICLR 2020 - International Conference on Learning Representations, 2020
162020
Multi-variable LSTM neural network for autoregressive exogenous model
T Guo, T Lin
arXiv preprint arXiv:1806.06384, 2018
122018
Heterogeneous recommendations: what you might like to read after watching interstellar
R Guerraoui, AM Kermarrec, T Lin, R Patra
VLDB 2017 - Proceedings of the VLDB Endowment 10 (10), 1070-1081, 2017
92017
The movement tracker: a flexible system for automated movement analysis in invertebrate model organisms
L Mouchiroud, V Sorrentino, EG Williams, M Cornaglia, MV Frochaux, ...
Current protocols in neuroscience 77 (1), 8.37. 1-8.37. 21, 2016
62016
Ensemble Distillation for Robust Model Fusion in Federated Learning
T Lin*, L Kong*, SU Stich, M Jaggi
NeurIPS 2020 - Advances in Neural Information Processing Systems, 2020, 2020
52020
GA-Par: Dependable Microservice Orchestration Framework for Geo-Distributed Clouds
Z Wen, T Lin, R Yang, S Ji, R Ranjan, A Romanovsky, C Lin, J Xu
IEEE Transactions on Parallel and Distributed Systems 31 (1), 129-143, 2019
42019
Masking as an Efficient Alternative to Finetuning for Pretrained Language Models
M Zhao*, T Lin*, M Jaggi, H Schütze
EMNLP 2020 - Empirical Methods in Natural Language Processing, 2020
22020
Generalized Class Incremental Learning
F Mi*, L Kong*, T Lin, K Yu, B Faltings
CVPRW 2020 - Proceedings of the IEEE/CVF Conference on Computer Vision and …, 2020
22020
Fog orchestration and simulation for iot services
R Yang, Z Wen, D McKee, T Lin, J Xu, P Garraghan
Wiley, 2020
12020
Gene locations may contribute to predicting gene regulatory relationships
J Meng, W Xu, X Chen, T Lin, X Deng
Journal of Zhejiang University-SCIENCE B 19 (1), 25-37, 2018
12018
On the Loss Landscape of Adversarial Training: Identifying Challenges and How to Overcome Them
C Liu, M Salzmann, T Lin, R Tomioka, S Süsstrunk
NeurIPS 2020 - Advances in Neural Information Processing Systems, 2020, 2020
2020
Extrapolation for Large-batch Training in Deep Learning
T Lin*, L Kong*, SU Stich, M Jaggi
ICML 2020 - Proceedings of the 37th International Conference on Machine Learning, 2020
2020
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Articles 1–20