Xiaoli Z. Fern
Artificial Intelligence · 2003–2019
A researcher in the Science corpus: 8 papers; trusts 106 researchers and is trusted by 25 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 78 citations into it; #12,877 of 35,345 by trust here, #10,566 by citations
- Computer Vision and Pattern Recognition — 48 citations into it; #7,007 of 21,575 by trust here, #13,542 by citations
- Natural Language Processing — 43 citations into it; #3,147 of 5,688 by trust here, #3,529 by citations
- Evaluation & Benchmarks — 12 citations into it
- Management Science and Operations Research — 12 citations into it; #6,544 of 11,946 by trust here, #6,563 by citations
- Optimization & Training — 10 citations into it
- Representation & Self-Supervised Learning — 9 citations into it
- Signal Processing — 6 citations into it
Whom Xiaoli Z. Fern trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Inderjit S. Dhillon
- Alexander Strehl
- R. Golden
- Andrew Y. Ng
- Diederik P. Kingma
- Geoffrey E. Hinton
- Jianbo Shi
- Yoshua Bengio
- Anil K. Jain
- Ana L. N. Fred
Who trusts Xiaoli Z. Fern overall
- Ludmila I. Kuncheva
- Dong Huang
- Joydeep Ghosh
- José Valente de Oliveira
- Dongkuan Xu
- Li Liu
- Sandro Vega-Pons
- Arthur Zimek
- Ping Li
- Juan José Rodríguez Diez
Papers from Xiaoli Z. Fern's perspective
Ordered by how strongly the researchers Xiaoli Z. Fern trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Learning Multiple Layers of Features from Tiny Images
Their papers
- Hybrid Batch Bayesian Optimization (2012) — 77 citations
- DR-BiLSTM: Dependent Reading Bidirectional LSTM for Natural Language Inference (2018) — 105 citations
- Interpreting Recurrent and Attention-Based Neural Models: a Case Study on Natural Language Inference (2018) — 99 citations
- Open Set Learning with Counterfactual Images (2018) — 537 citations
- Solving cluster ensemble problems by bipartite graph partitioning (2004) — 613 citations
- Entity-aware ELMo: Learning Contextual Entity Representation for Entity Disambiguation (2019) — 26 citations
- Acoustic classification of multiple simultaneous bird species: a multi-instance multi-label approach. (2012) — 312 citations
- Random Projection for High Dimensional Data Clustering: A Cluster Ensemble Approach (2003) — 723 citations