Anuj Kumar
Artificial Intelligence · with White · 2018–2021
A researcher in the Science corpus: 8 papers; trusts 103 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 142 citations into it; #31,040 of 35,345 by trust here, #9,760 by citations
- Natural Language Processing — 117 citations into it; #5,428 of 5,688 by trust here, #2,695 by citations
- Computer Vision and Pattern Recognition — 38 citations into it
- Evaluation & Benchmarks — 16 citations into it
- Representation & Self-Supervised Learning — 11 citations into it
- Model Architectures — 10 citations into it
- Information Systems — 9 citations into it
- Reinforcement Learning — 5 citations into it
Whom Anuj Kumar trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Antoine Bordes
- Yoshua Bengio
- Ilya Sutskever
- Geoffrey E. Hinton
- Jason Aaron Edward Weston
- Diederik P. Kingma
- Alex Krizhevsky
- Richard Socher
- Yann LeCun
- Oriol Vinyals
Who trusts Anuj Kumar overall
Papers from Anuj Kumar's perspective
Ordered by how strongly the researchers Anuj Kumar trusts endorse each paper. Same corpus, a different order for every researcher.
- Long Short-Term Memory
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet classification with deep convolutional neural networks
- Gradient-based learning applied to document recognition
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
Their papers
- OpenDialKG: Explainable Conversational Reasoning with Attention-based Walks over Knowledge Graphs (2019) — 346 citations
- Semantic Parsing for Task Oriented Dialog using Hierarchical Representations (2018) — 213 citations
- Memory Grounded Conversational Reasoning (2019) — 5 citations
- A Tree-to-Sequence Model for Neural NLG in Task-Oriented Dialog (2019) — 14 citations
- Federated User Representation Learning (2019) — 73 citations
- Building Adaptive Acceptability Classifiers for Neural NLG (2021) — 16 citations
- Getting to Production with Few-shot Natural Language Generation Models (2021) — 17 citations
- Best Practices for Data-Efficient Modeling in NLG:How to Train Production-Ready Neural Models with Less Data (2020) — 10 citations