Hritik Bansal
Artificial Intelligence · with Bitton · 2023–2024
A researcher in the Science corpus: 3 papers; trusts 32 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 106 citations into it
- Computer Vision and Pattern Recognition — 84 citations into it
Whom Hritik Bansal trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Alex Krizhevsky
- Geoffrey E. Hinton
- Kaiming He
- Diederik P. Kingma
- Yoshua Bengio
- Ross B. Girshick
- Ilya Sutskever
- Yann LeCun
- Karen Simonyan
- Alex Graves
Papers from Hritik Bansal's perspective
Ordered by how strongly the researchers Hritik Bansal 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
- Attention is All you Need (Neural Information Processing Systems)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- ImageNet: A large-scale hierarchical image database
- ImageNet Large Scale Visual Recognition Challenge
- Gradient-based learning applied to document recognition
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Learning Multiple Layers of Features from Tiny Images
Their papers
- VisIT-Bench: A Benchmark for Vision-Language Instruction Following Inspired by Real-World Use (2023) — 111 citations
- DataComp-LM: In search of the next generation of training sets for language models (2024) — 374 citations
- MathVista: Evaluating Mathematical Reasoning of Foundation Models in Visual Contexts (2023) — 1,741 citations