Jie Hao

Artificial Intelligence · with Chen · 2022

A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 22 citations into it
• Meta & Continual Learning — 8 citations into it

Whom Jie Hao trusts

Their strongest outbound trust, strongest first, inferred from their citations.

1. Ferenc Huszár (in Artificial Intelligence)

Papers from Jie Hao's perspective

Ordered by how strongly the researchers Jie Hao trusts endorse each paper. Same corpus, a different order for every researcher.

1. Catastrophic Interference in Connectionist Networks: The Sequential Learning Problem
2. Overcoming catastrophic forgetting in neural networks
3. Continual Learning Through Synaptic Intelligence
4. Learning without Forgetting
5. Gradient Episodic Memory for Continual Learning
6. Catastrophic forgetting in connectionist networks.
7. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
8. ImageNet classification with deep convolutional neural networks
9. Memory Aware Synapses: Learning what (not) to forget
10. Gradient-based learning applied to document recognition

Their papers

• Overcoming Catastrophic Forgetting During Domain Adaptation of Seq2seq Language Generation (2022) — 63 citations