Abir Das

Artificial Intelligence · with Ghosh · 2024

A researcher in the Science corpus: 1 paper; trusts 29 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 36 citations into it
• Computer Vision and Pattern Recognition — 32 citations into it
• Representation & Self-Supervised Learning — 9 citations into it

Whom Abir Das trusts overall

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

1. Alex Krizhevsky
2. Rahaf Aljundi
3. Geoffrey E. Hinton

Papers from Abir Das's perspective

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

1. Learning Multiple Layers of Features from Tiny Images
2. ImageNet Large Scale Visual Recognition Challenge
3. ImageNet classification with deep convolutional neural networks
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. Gradient-based learning applied to document recognition
6. ImageNet: A large-scale hierarchical image database
7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
8. Attention is All you Need (Neural Information Processing Systems)
9. Rectified Linear Units Improve Restricted Boltzmann Machines
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• Convolutional Prompting meets Language Models for Continual Learning (2024) — 45 citations