Manas R. Joglekar
Artificial Intelligence · 2014–2025
A researcher in the Science corpus: 7 papers; trusts 37 researchers and is trusted by 4 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 149 citations into it; #21,553 of 35,345 by trust here, #13,353 by citations
- Computer Vision and Pattern Recognition — 58 citations into it
- Computer Science Applications — 28 citations into it; #926 of 1,855 by trust here, #1,051 by citations
- Management Science and Operations Research — 18 citations into it
- Optimization & Training — 18 citations into it
- Model Architectures — 11 citations into it
- Statistics and Probability — 5 citations into it
Whom Manas R. Joglekar trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Barret Zoph
- Rakesh Agrawal
- Larry A. Wasserman
- Rayadurgam Srikant
- Jeffrey Scott Vitter
- Peter D. Grünwald
- Geoffrey E. Hinton
- Alex Krizhevsky
- Quoc V. Le
- Yoshua Bengio
Who trusts Manas R. Joglekar overall
- Stephen H. Bach
- Alexander J. Ratner
- Paroma Varma
- Olga Papaemmanouil
- Weiyu Cheng
- Christopher R'e
- Bryan D. He
- Xiangyu Zhao
- Hanwen Liang
- Adam Marcus
Papers from Manas R. Joglekar's perspective
Ordered by how strongly the researchers Manas R. Joglekar 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)
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Gradient-based learning applied to document recognition
- Learning Multiple Layers of Features from Tiny Images
- ImageNet Large Scale Visual Recognition Challenge
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
Their papers
- Neural Input Search for Large Scale Recommendation Models (2019) — 122 citations
- OpenAI GPT-5 System Card (2025) — 667 citations
- Weak-to-Strong Generalization: Eliciting Strong Capabilities With Weak Supervision (2023) — 504 citations
- Challenges in Data Crowdsourcing (2016) — 133 citations
- SLiMFast: Guaranteed Results for Data Fusion and Source Reliability (2015) — 63 citations
- Comprehensive and reliable crowd assessment algorithms (2014) — 53 citations
- Smart Drill-Down: A New Data Exploration Operator (2014) — 32 citations