Arindam Mitra
Artificial Intelligence · 2015–2023
A researcher in the Science corpus: 7 papers; trusts 159 researchers and is trusted by 33 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 141 citations into it; #5,668 of 35,345 by trust here, #8,525 by citations
- Natural Language Processing — 121 citations into it; #1,255 of 5,688 by trust here, #2,567 by citations
- Evaluation & Benchmarks — 58 citations into it
- Computer Vision and Pattern Recognition — 47 citations into it; #5,626 of 21,575 by trust here, #10,010 by citations
- Large Language Models — 26 citations into it
- Information Systems — 19 citations into it; #5,531 of 8,771 by trust here, #6,195 by citations
- Information Retrieval & Search — 7 citations into it
- Alignment & RLHF — 5 citations into it
Whom Arindam Mitra trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Luke S. Zettlemoyer
- Geoffrey E. Hinton
- Jason Aaron Edward Weston
- Yoshua Bengio
- Christopher D. Manning
- Peter Clark
- Diederik P. Kingma
- Danqi Chen
- Eugene Charniak
- Chitta Baral
Who trusts Arindam Mitra overall
- Lei Wang
- Yan Wang
- Jinghui Qin
- Subhro Roy
- Zhipeng Xie
- Pratyay Banerjee
- Jipeng Zhang
- Yining Hong
- Dongxiang Zhang
- Jiacheng Liu
Papers from Arindam Mitra's perspective
Ordered by how strongly the researchers Arindam Mitra trusts endorse each paper. Same corpus, a different order for every researcher.
- Attention is All you Need (Neural Information Processing Systems)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- ImageNet classification with deep convolutional neural networks
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- ImageNet: A large-scale hierarchical image database
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
Their papers
- Learning To Use Formulas To Solve Simple Arithmetic Problems (2016) — 123 citations
- Orca: Progressive Learning from Complex Explanation Traces of GPT-4 (2023) — 421 citations
- How Additional Knowledge can Improve Natural Language Commonsense Question Answering (2019) — 32 citations
- NumGLUE: A Suite of Fundamental yet Challenging Mathematical Reasoning Tasks (2022) — 152 citations
- Learning to Automatically Solve Logic Grid Puzzles (2015) — 35 citations
- Towards Question Format Independent Numerical Reasoning: A Set of Prerequisite Tasks (2020) — 14 citations
- Careful Selection of Knowledge to Solve Open Book Question Answering (2019) — 74 citations