Siddartha Naidu
Artificial Intelligence · 2024
A researcher in the Science corpus: 2 papers; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 60 citations into it
- Computer Vision and Pattern Recognition — 15 citations into it
Whom Siddartha Naidu trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Siddartha Naidu's perspective
Ordered by how strongly the researchers Siddartha Naidu trusts endorse each paper. Same corpus, a different order for every researcher.
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Attention is All you Need (Neural Information Processing Systems)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Language Models are Few-Shot Learners (Neural Information Processing Systems)
- Language Models are Unsupervised Multitask Learners
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
Their papers
- Smaug: Fixing Failure Modes of Preference Optimisation with DPO-Positive (2024) — 257 citations
- LiveBench: A Challenging, Contamination-Free LLM Benchmark (2024) — 317 citations