Kushal Tirumala
Artificial Intelligence · 2022–2025
A researcher in the Science corpus: 4 papers; trusts 43 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 99 citations into it
- Computer Vision and Pattern Recognition — 61 citations into it
- Scaling & Learning Theory — 24 citations into it
- Representation & Self-Supervised Learning — 11 citations into it
- Model Architectures — 10 citations into it
Whom Kushal Tirumala trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Vitaly Feldman
- Geoffrey E. Hinton
- Diederik P. Kingma
- Yoshua Bengio
- Alex Krizhevsky
- Dan Hendrycks
- Ilya Sutskever
- Kaiming He
- Yann LeCun
- Alex Graves
Who trusts Kushal Tirumala overall
Papers from Kushal Tirumala's perspective
Ordered by how strongly the researchers Kushal Tirumala trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Attention is All you Need (Neural Information Processing Systems)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- ImageNet: A large-scale hierarchical image database
- Gradient-based learning applied to document recognition
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- ImageNet Large Scale Visual Recognition Challenge
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
Their papers
- Memorization Without Overfitting: Analyzing the Training Dynamics of Large Language Models (2022) — 288 citations
- SemDeDup: Data-efficient learning at web-scale through semantic deduplication (2023) — 307 citations
- OpenAI GPT-5 System Card (2025) — 667 citations
- Transfusion: Predict the Next Token and Diffuse Images with One Multi-Modal Model (2024) — 446 citations