Pascale Fung

Computer Vision and Pattern Recognition · with Ishii · 2023–2024

A researcher in the Science corpus: 2 papers; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 26 citations into it
• Representation & Self-Supervised Learning — 25 citations into it

Whom Pascale Fung trusts

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

1. L. V. D. van der Maaten (in Computer Vision and Pattern Recognition)
2. Geoffrey E. Hinton (in Computer Vision and Pattern Recognition)

Papers from Pascale Fung's perspective

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

1. Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)
2. GloVe: Global Vectors for Word Representation
3. Efficient Estimation of Word Representations in Vector Space
4. Proximal Policy Optimization Algorithms (arXiv.org)
5. Visualizing Data using t-SNE
6. Decoupled Weight Decay Regularization
7. Bootstrap Your Own Latent: A New Approach to Self-Supervised Learning
8. Big Self-Supervised Models are Strong Semi-Supervised Learners
9. Deep Reinforcement Learning from Human Preferences (Neural Information Processing Systems)
10. Finding Structure in Time

Their papers

• High-Dimension Human Value Representation in Large Language Models (2024)
• Towards Mitigating LLM Hallucination via Self Reflection (2023) — 496 citations