Neel Jain

Artificial Intelligence · 2023–2024

A researcher in the Science corpus: 3 papers; trusts 13 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 100 citations into it
• Computer Vision and Pattern Recognition — 31 citations into it

Whom Neel Jain trusts overall

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

1. Geoffrey E. Hinton
2. Alex Krizhevsky
3. Yoshua Bengio
4. Yann LeCun
5. Diederik P. Kingma
6. Kaiming He
7. Ilya Sutskever
8. Christian Szegedy
9. Alec Radford
10. Richard Socher

Who trusts Neel Jain overall

1. Alexander Robey
2. Zeming Wei
3. Xiaogeng Liu
4. Yupei Liu

Papers from Neel Jain's perspective

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

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
3. Attention is All you Need (Neural Information Processing Systems)
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Long Short-Term Memory
6. ImageNet: A large-scale hierarchical image database
7. Gradient-based learning applied to document recognition
8. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
9. Learning Multiple Layers of Features from Tiny Images
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• Hard Prompts Made Easy: Gradient-Based Discrete Optimization for Prompt Tuning and Discovery (2023) — 425 citations
• LiveBench: A Challenging, Contamination-Free LLM Benchmark (2024) — 317 citations
• Baseline Defenses for Adversarial Attacks Against Aligned Language Models (2023) — 743 citations