Vineet Kosaraju
Artificial Intelligence · 2018–2025
A researcher in the Science corpus: 9 papers; trusts 225 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 114 citations into it; #30,383 of 35,345 by trust here, #1,498 by citations
- Computer Vision and Pattern Recognition — 88 citations into it; #20,707 of 21,575 by trust here, #2,814 by citations
- Natural Language Processing — 65 citations into it
- Computational Mechanics — 24 citations into it
- Evaluation & Benchmarks — 20 citations into it
- Generative Models — 17 citations into it
- Computational Theory and Mathematics — 14 citations into it
- Model Architectures — 12 citations into it
Whom Vineet Kosaraju trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Yoshua Bengio
- Diederik P. Kingma
- Alex Krizhevsky
- Individualized Treat
- Karen Simonyan
- Kaiming He
- Ilya Sutskever
- Yann LeCun
- Andrew Zisserman
Who trusts Vineet Kosaraju overall
- Zhihong Shao
- Ye Yuan
- Tim Salzmann
- Abduallah A. Mohamed
- Tianpei Gu
- Liushuai Shi
- Yao Fu
- Francesco Giuliari
- Peiyi Wang
- Pan Lu
Papers from Vineet Kosaraju's perspective
Ordered by how strongly the researchers Vineet Kosaraju 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
- ImageNet: A large-scale hierarchical image database
- Gradient-based learning applied to document recognition
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet Large Scale Visual Recognition Challenge
- Going deeper with convolutions
Their papers
- Training Verifiers to Solve Math Word Problems (2021) — 9,717 citations
- WebGPT: Browser-assisted question-answering with human feedback (2021) — 1,953 citations
- SoPhie: An Attentive GAN for Predicting Paths Compliant to Social and Physical Constraints (2018) — 1,077 citations
- Social-BiGAT: Multimodal Trajectory Forecasting using Bicycle-GAN and Graph Attention Networks (2019) — 738 citations
- BERT Learns (and Teaches) Chemistry (2020) — 10 citations
- OpenAI GPT-5 System Card (2025) — 667 citations
- LLMLingua-2: Data Distillation for Efficient and Faithful Task-Agnostic Prompt Compression (2024) — 326 citations
- Let's Verify Step by Step (2023) — 3,887 citations
- TopNet: Structural Point Cloud Decoder (2019) — 522 citations