R. Bansal

Safety, Robustness & Interpretability · 2022

A researcher in the Science corpus: 1 paper; trusts 11 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom R. Bansal trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Jieyu Zhao
  2. Tianlu Wang
  3. Kai-Wei Chang
  4. Mark Yatskar
  5. Vicente Ordonez
  6. Yichao Zhou
  7. Zeyu Li
  8. Eric Horvitz
  9. Geoffrey E. Hinton
  10. Yoshua Bengio

Papers from R. Bansal's perspective

Ordered by how strongly the researchers R. Bansal trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  2. Attention is All you Need (Neural Information Processing Systems)
  3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. ImageNet classification with deep convolutional neural networks
  5. Long Short-Term Memory
  6. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  7. GloVe: Global Vectors for Word Representation
  8. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  9. Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)
  10. ImageNet: A large-scale hierarchical image database

Their papers