Avishek Anand
Artificial Intelligence · 2017–2018
A researcher in the Science corpus: 3 papers; trusts 23 researchers and is trusted by 6 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 19 citations into it; #21,001 of 35,345 by trust here, #29,412 by citations
- Safety, Robustness & Interpretability — 12 citations into it
- Natural Language Processing — 8 citations into it
Whom Avishek Anand trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Marco Tulio Ribeiro
- Sameer Singh
- Tao Qin
- Daniel Lowd
- David Alvarez-Melis
- Carlos Guestrin
- Eric T. Nalisnick
- Geoffrey E. Hinton
- Jiafeng Guo
- Yoshua Bengio
Who trusts Avishek Anand overall
Papers from Avishek Anand's perspective
Ordered by how strongly the researchers Avishek Anand 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
- ImageNet: A large-scale hierarchical image database
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- Learning Multiple Layers of Features from Tiny Images
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
Their papers
- EXS: Explainable Search Using Local Model Agnostic Interpretability (2018) — 117 citations
- Posthoc Interpretability of Learning to Rank Models using Secondary Training Data (2018) — 48 citations
- Fine Grained Citation Span for References in Wikipedia (2017) — 9 citations