Xinyin Ma
Artificial Intelligence · 2020–2023
A researcher in the Science corpus: 5 papers; trusts 470 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 140 citations into it
- Computer Vision and Pattern Recognition — 126 citations into it
- Efficiency & Compression — 62 citations into it
- Natural Language Processing — 45 citations into it
- Generative Models — 39 citations into it
- Large Language Models — 34 citations into it
- Model Architectures — 21 citations into it
- Evaluation & Benchmarks — 19 citations into it
Whom Xinyin Ma trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Alex Krizhevsky
- Geoffrey E. Hinton
- Diederik P. Kingma
- Yoshua Bengio
- Kaiming He
- Ilya Sutskever
- Yann LeCun
- Karen Simonyan
- Ross B. Girshick
- Alex Graves
Who trusts Xinyin Ma overall
- Mengzhou Xia
- Saleh Ashkboos
- Xin Men
- Mingjie Sun
- Rui Wang
- Tianyu Gao
- Gongfan Fang
- Maximilian L. Croci
- Zhendong Yang
Papers from Xinyin Ma's perspective
Ordered by how strongly the researchers Xinyin Ma 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
- ImageNet: A large-scale hierarchical image database
- Gradient-based learning applied to document recognition
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Learning Multiple Layers of Features from Tiny Images
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
Their papers
- LLM-Pruner: On the Structural Pruning of Large Language Models (2023) — 892 citations
- DeepCache: Accelerating Diffusion Models for Free (2023) — 400 citations
- DepGraph: Towards Any Structural Pruning (2023) — 518 citations
- Multi-hop Reading Comprehension across Documents with Path-based Graph Convolutional Network (2020) — 30 citations
- Adversarial Self-Supervised Data Free Distillation for Text Classification (2020) — 27 citations