Anthony Man-Cho So
Artificial Intelligence · 2005–2023
A researcher in the Science corpus: 8 papers; trusts 129 researchers and is trusted by 30 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 118 citations into it
- Natural Language Processing — 75 citations into it
- Computer Vision and Pattern Recognition — 52 citations into it
- Large Language Models — 38 citations into it
- Electrical and Electronic Engineering — 34 citations into it; #1,432 of 16,539 by trust here, #4,502 by citations
- Computational Mechanics — 32 citations into it; #1,955 of 10,001 by trust here, #1,368 by citations
- Computer Networks and Communications — 27 citations into it; #4,984 of 9,886 by trust here, #4,405 by citations
- Efficiency & Compression — 24 citations into it
Whom Anthony Man-Cho So trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Paul Tseng
- Geoffrey E. Hinton
- Yoshua Bengio
- Ilya Sutskever
- Diederik P. Kingma
- Alex Krizhevsky
- Radford M. Neal
- Yurii E. Nesterov
- Zhi-Quan Tom Luo
- Yann LeCun
Who trusts Anthony Man-Cho So overall
- J. Dattorro
- Benjamin Fuchs
- Gui Zhou
- Dmitriy Drusvyatskiy
- Paul Tseng
- Hamed Karimi
- Derrick Wing Kwan Ng
- Fan Liu
- B. Recht
- Rui Zhang
Papers from Anthony Man-Cho So's perspective
Ordered by how strongly the researchers Anthony Man-Cho So 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
- Attention is All you Need (Neural Information Processing Systems)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
Their papers
- Semidefinite Relaxation of Quadratic Optimization Problems (2010) — 3,673 citations
- Outage Constrained Robust Transmit Optimization for Multiuser MISO Downlinks: Tractable Approximations by Conic Optimization (2011) — 832 citations
- Theory of semidefinite programming for Sensor Network Localization (2005) — 467 citations
- A unified approach to error bounds for structured convex optimization problems (2015) — 200 citations
- Decoder-Only or Encoder-Decoder? Interpreting Language Model as a Regularized Encoder-Decoder (2023) — 68 citations
- On the Effectiveness of Parameter-Efficient Fine-Tuning (2022) — 249 citations
- On the Linear Convergence of the Proximal Gradient Method for Trace Norm Regularization (2013) — 58 citations
- Learning with Partially Absorbing Random Walks (2012) — 145 citations