Junxian He
Artificial Intelligence · with Neubig · 2018–2023
A researcher in the Science corpus: 10 papers; trusts 446 researchers and is trusted by 16 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 270 citations into it; #11,370 of 35,345 by trust here, #3,638 by citations
- Natural Language Processing — 180 citations into it; #2,917 of 5,688 by trust here, #1,837 by citations
- Computer Vision and Pattern Recognition — 115 citations into it; #16,547 of 21,575 by trust here, #5,205 by citations
- Large Language Models — 67 citations into it
- Evaluation & Benchmarks — 51 citations into it
- Representation & Self-Supervised Learning — 33 citations into it
- Model Architectures — 24 citations into it
- Generative Models — 20 citations into it
Whom Junxian He trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Diederik P. Kingma
- Geoffrey E. Hinton
- Yoshua Bengio
- Jimmy Ba
- Kaiming He
- Alex Krizhevsky
- Ilya Sutskever
- Yann LeCun
- Ruslan Salakhutdinov
- Alex Graves
Who trusts Junxian He overall
- Chunyuan Li
- Machel Reid
- Peng-Jen Chen
- Akari Asai
- Chunting Zhou
- Timo Schick
- John Wieting
- Tu Vu
- Changhan Wang
- Soumya Batra
Papers from Junxian He's perspective
Ordered by how strongly the researchers Junxian He 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)
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
Their papers
- Revisiting Self-Training for Neural Sequence Generation (2019) — 297 citations
- Towards a Unified View of Parameter-Efficient Transfer Learning (2021) — 1,223 citations
- Lagging Inference Networks and Posterior Collapse in Variational Autoencoders (2019) — 307 citations
- StructVAE: Tree-structured Latent Variable Models for Semi-supervised Semantic Parsing (2018) — 103 citations
- The Source-Target Domain Mismatch Problem in Machine Translation (2019) — 28 citations
- Prompt Consistency for Zero-Shot Task Generalization (2022) — 97 citations
- Efficient Nearest Neighbor Language Models (2021) — 124 citations
- Choosing Transfer Languages for Cross-Lingual Learning (2019) — 265 citations
- C-Eval: A Multi-Level Multi-Discipline Chinese Evaluation Suite for Foundation Models (2023) — 890 citations
- FacTool: Factuality Detection in Generative AI - A Tool Augmented Framework for Multi-Task and Multi-Domain Scenarios (2023) — 315 citations