Anisha Gunjal

AAAI Conference on Artificial Intelligence · 2023

A researcher in the Science corpus: 1 paper; trusts 0 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Whom Anisha Gunjal trusts overall

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

1. John Schulman
2. Tsung-Yi Lin
3. Haotian Liu
4. Long Ouyang
5. Geoffrey E. Hinton
6. Diederik P. Kingma
7. Alex Krizhevsky
8. Kaiming He
9. Yoshua Bengio
10. Rafael Rafailov

Who trusts Anisha Gunjal overall

1. Vipula Rawte
2. Amit P. Sheth

Papers from Anisha Gunjal's perspective

Ordered by how strongly the researchers Anisha Gunjal 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. ImageNet Large Scale Visual Recognition Challenge
10. Language Models are Few-Shot Learners (Neural Information Processing Systems)

Their papers

• Detecting and Preventing Hallucinations in Large Vision Language Models (2023) — 337 citations