Ashwinee Panda
Artificial Intelligence · 2020–2024
A researcher in the Science corpus: 3 papers; trusts 17 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 121 citations into it
- Computer Vision and Pattern Recognition — 30 citations into it
- Safety, Robustness & Interpretability — 30 citations into it
- Optimization & Training — 20 citations into it
- Federated & Distributed Learning — 19 citations into it
- Electrical and Electronic Engineering — 6 citations into it
Whom Ashwinee Panda trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Alex Krizhevsky
- Geoffrey E. Hinton
- Ilya Sutskever
- Yoshua Bengio
- Diederik P. Kingma
- Kaiming He
- Yann LeCun
- Sebastian U. Stich
- Christian Szegedy
- Alex Graves
Who trusts Ashwinee Panda overall
Papers from Ashwinee Panda's perspective
Ordered by how strongly the researchers Ashwinee Panda trusts endorse each paper. Same corpus, a different order for every researcher.
- 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)
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- Learning Multiple Layers of Features from Tiny Images
- ImageNet: A large-scale hierarchical image database
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
Their papers
- Visual Adversarial Examples Jailbreak Aligned Large Language Models (2023) — 403 citations
- Safety Alignment Should Be Made More Than Just a Few Tokens Deep (2024) — 455 citations
- FetchSGD: Communication-Efficient Federated Learning with Sketching (2020) — 432 citations