Discovery - Top 10
By people
- 114 ma, y
- 114 ma, yi
- 113 马毅
- 50 liang, y
- 50 liang, yingyu
- 50 梁穎宇
- 19 zhang, q
- 19 zhang, qingpeng
- 19 張清鵬
- 9 luo, p
HKU Organizations
- 197 hku musketeers foundation institu...
- 43 faculty of engineering
- 42 department of computer science
- 5 department of electrical and elec...
- 5 faculty of science
- 3 department of mathematics
- 3 faculty of social sciences
- 2 department of geography
- 2 department of statistics and actu...
- 2 school of biological sciences
Browse
Collection's Items (Sorted by Submit Date in Descending order): 1 to 20 of 197
Title | Author(s) | Issue Date | Views | |
---|---|---|---|---|
On Reinforcement Learning in Stabilizability of Probabilistic Boolean Control Networks Proceeding/Conference:2023 International Conference on Machine Learning and Cybernetics (ICMLC) (09/07/2023-11/07/2023, , , Adelaide) | 28-Nov-2023 | |||
Generalizing Word Embeddings using Bag of Subwords Proceeding/Conference:Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, EMNLP 2018 | 2018 | |||
When and How Does Known Class Help Discover Unknown Ones? Provable Understanding Through Spectral Analysis Proceeding/Conference:Proceedings of Machine Learning Research | 2023 | |||
Stratified Adversarial Robustness with Rejection Proceeding/Conference:Proceedings of Machine Learning Research | 2023 | |||
Learning Entangled Single-Sample Distributions via Iterative Trimming Proceeding/Conference:Proceedings of Machine Learning Research | 2020 | |||
Learning Entangled Single-Sample Gaussians in the Subset-of-Signals Model Proceeding/Conference:Proceedings of Machine Learning Research | 2020 | |||
A THEORETICAL ANALYSIS ON FEATURE LEARNING IN NEURAL NETWORKS: EMERGENCE FROM INPUTS AND ADVANTAGE OVER FIXED FEATURES Proceeding/Conference:ICLR 2022 - 10th International Conference on Learning Representations | 2022 | |||
TOWARDS EVALUATING THE ROBUSTNESS OF NEURAL NETWORKS LEARNED BY TRANSDUCTION Proceeding/Conference:ICLR 2022 - 10th International Conference on Learning Representations | 2022 | |||
Detecting Errors and Estimating Accuracy on Unlabeled Data with Self-training Ensembles Proceeding/Conference:Advances in Neural Information Processing Systems | 2021 | |||
Deep Online Fused Video Stabilization Proceeding/Conference:Proceedings - 2022 IEEE/CVF Winter Conference on Applications of Computer Vision, WACV 2022 | 2022 | |||
PBoS: Probabilistic bag-of-subwords for generalizing word embedding Proceeding/Conference:Findings of the Association for Computational Linguistics Findings of ACL: EMNLP 2020 | 2020 | |||
ATOM: Robustifying Out-of-Distribution Detection Using Outlier Mining Proceeding/Conference:Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | 2021 | |||
Sketching Transformed Matrices with Applications to Natural Language Processing Proceeding/Conference:Proceedings of Machine Learning Research | 2020 | |||
A new view of multi-modal language analysis: Audio and video features as text “Styles” Proceeding/Conference:EACL 2021 - 16th Conference of the European Chapter of the Association for Computational Linguistics, Proceedings of the Conference | 2021 | |||
Functional regularization for representation learning: A unified theoretical perspective Proceeding/Conference:Advances in Neural Information Processing Systems | 2020 | |||
Learning relationships between text, audio, and video via deep canonical correlation for multimodal language analysis Proceeding/Conference:AAAI 2020 - 34th AAAI Conference on Artificial Intelligence | 2020 | |||
GRADIENTS AS FEATURES FOR DEEP REPRESENTATION LEARNING Proceeding/Conference:8th International Conference on Learning Representations, ICLR 2020 | 2020 | |||
Can Adversarial Weight Perturbations Inject Neural Backdoors Proceeding/Conference:International Conference on Information and Knowledge Management, Proceedings | 2020 | |||
Robust attribution regularization Proceeding/Conference:Advances in Neural Information Processing Systems | 2019 | |||
N-gram graph: Simple unsupervised representation for graphs, with applications to molecules Proceeding/Conference:Advances in Neural Information Processing Systems | 2019 |
Collection's Items (Sorted by Submit Date in Descending order): 1 to 20 of 197