Subbarao Kambhampati
Artificial Intelligence · 1997–2023
A researcher in the Science corpus: 22 papers; trusts 138 researchers and is trusted by 12 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 178 citations into it; #13,233 of 35,345 by trust here, #9,465 by citations
- Computer Vision and Pattern Recognition — 107 citations into it; #13,945 of 21,575 by trust here, #9,305 by citations
- Reinforcement Learning — 64 citations into it
- Generative Models — 33 citations into it
- Control and Systems Engineering — 25 citations into it
- Social Psychology — 25 citations into it
- LLM Agents & Tool Use — 24 citations into it
- Safety, Robustness & Interpretability — 22 citations into it; #1,204 of 2,251 by trust here, #1,512 by citations
Whom Subbarao Kambhampati trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Bertram F. Malle
- Tathagata Chakraborti
- R. Fikes
- Nils J. Nilsson
- Sarath Sreedharan
- Tania Lombrozo
- David G. Lowe
- Geoffrey E. Hinton
- Eugene Charniak
- Yoshua Bengio
Who trusts Subbarao Kambhampati overall
- Sarath Sreedharan
- Tathagata Chakraborti
- Anshuman Gupta
- Lin Guan
- Diana Zulli
- Diego Aineto
- Costas D. Maranas
Papers from Subbarao Kambhampati's perspective
Ordered by how strongly the researchers Subbarao Kambhampati trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- ImageNet: A large-scale hierarchical image database
- Et al
- GENERATIVE ADVERSARIAL NETS
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
Their papers
- Imperfect ImaGANation: Implications of GANs Exacerbating Biases on Facial Data Augmentation and Snapchat Selfie Lenses (2020) — 40 citations
- PlanBench: An Extensible Benchmark for Evaluating Large Language Models on Planning and Reasoning about Change (2022) — 438 citations
- Hierarchical Expertise-Level Modeling for User Specific Robot-Behavior Explanations (2018) — 20 citations
- Leveraging Pre-trained Large Language Models to Construct and Utilize World Models for Model-based Task Planning (2023) — 316 citations
- What We Instagram: A First Analysis of Instagram Photo Content and User Types (2014) — 819 citations
- Algorithms for the Greater Good! On Mental Modeling and Acceptable Symbiosis in Human-AI Collaboration (2018) — 28 citations
- On the Planning Abilities of Large Language Models - A Critical Investigation (2023) — 455 citations
- Symbols as a Lingua Franca for Bridging Human-AI Chasm for Explainable and Advisable AI Systems (2021) — 56 citations
- GPT3-to-plan: Extracting plans from text using GPT-3 (2021) — 49 citations
- Widening the Pipeline in Human-Guided Reinforcement Learning with Explanation and Context-Aware Data Augmentation (2020) — 56 citations
- Handling Model Uncertainty and Multiplicity in Explanations via Model Reconciliation (2018) — 71 citations
- Balancing Explicability and Explanation in Human-Aware Planning (2017) — 45 citations
- Plan Explanations as Model Reconciliation: Moving Beyond Explanation as Soliloquy (2017) — 349 citations
- Robust planning with incomplete domain models (2017) — 38 citations
- RADAR - A Proactive Decision Support System for Human-in-the-Loop Planning (2017) — 42 citations
- Planning for serendipity (2015) — 53 citations
- Plan explicability and predictability for robot task planning (2015) — 184 citations
- Automated Planning for Peer-to-peer Teaming and its Evaluation in Remote Human-Robot Interaction (2015) — 19 citations
- Capability Models and Their Applications in Planning (2015) — 21 citations
- Coordination in human-robot teams using mental modeling and plan recognition (2014) — 83 citations