Ashutosh Baheti
Natural Language Processing · 2018–2021
A researcher in the Science corpus: 2 papers; trusts 77 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Natural Language Processing — 74 citations into it
- Artificial Intelligence — 72 citations into it
- Safety, Robustness & Interpretability — 19 citations into it
- Computer Vision and Pattern Recognition — 18 citations into it
- Evaluation & Benchmarks — 9 citations into it
- Representation & Self-Supervised Learning — 5 citations into it
Whom Ashutosh Baheti trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Ilya Sutskever
- Yoshua Bengio
- Jiwei Li
- Diederik P. Kingma
- Geoffrey E. Hinton
- Alex Krizhevsky
- Oriol Vinyals
- Dzmitry Bahdanau
- Yann LeCun
- Jimmy Ba
Who trusts Ashutosh Baheti overall
- Andrea Madotto
- Abigail See
- Stephen Roller
- Mohsen Mesgar
- Charles Burton Snell
- Sumanth Dathathri
- Emily Dinan
- Emily Sheng
- Behnam Hedayatnia
- Daphne Ippolito
Papers from Ashutosh Baheti's perspective
Ordered by how strongly the researchers Ashutosh Baheti 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
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- 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)
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
Their papers
- Generating More Interesting Responses in Neural Conversation Models with Distributional Constraints (2018) — 94 citations
- Just Say No: Analyzing the Stance of Neural Dialogue Generation in Offensive Contexts (2021) — 101 citations