Toshev, Alexander

Show and tell: A neural image caption generator

Vinyals, O., Toshev, A., Bengio, S., & Erhan, D. (2015) · 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

Multimodal Machine Learning ApplicationsImage Retrieval and Classification Techniques

Cited by 6,318

Scalable Object Detection Using Deep Neural Networks

Erhan, D., Szegedy, C., Toshev, A., & Anguelov, D. (2014) · 2014 IEEE Conference on Computer Vision and Pattern Recognition

Advanced Neural Network ApplicationsAdvanced Image and Video Retrieval Techniques

Cited by 1,161

Show and Tell: Lessons Learned from the 2015 MSCOCO Image Captioning Challenge

Vinyals, O., Toshev, A., Bengio, S., & Erhan, D. (2017) · IEEE Transactions on Pattern Analysis and Machine Intelligence

Multimodal Machine Learning ApplicationsImage Retrieval and Classification Techniques

Cited by 875

Do As I Can, Not As I Say: Grounding Language in Robotic Affordances

Ahn, M., Brohan, A., Brown, N., Chebotar, Y., Cortes, O., David, B., Finn, C., Fu, C., Gopalakrishnan, K., Hausman, K., et al. (2022) · arXiv

Smart Agriculture and AIAI-based Problem Solving and Planning

Cited by 624

Scene Memory Transformer for Embodied Agents in Long-Horizon Tasks

Fang, K., Toshev, A., Fei-Fei, L., & Savarese, S. (2019) · 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Reinforcement Learning in RoboticsAI-based Problem Solving and Planning

Cited by 178

ObjectNav Revisited: On Evaluation of Embodied Agents Navigating to Objects

Batra, D., Gokaslan, A., Kembhavi, A., Maksymets, O., Mottaghi, R., Savva, M., Toshev, A., & Wijmans, E. (2020) · arXiv

Reinforcement Learning in RoboticsRobot Manipulation and Learning

Cited by 177

Principles and Guidelines for Evaluating Social Robot Navigation Algorithms

Francis, A., Pérez-D’Arpino, C., Li, C., Xia, F., Alahi, A., Alami, R., Bera, A., Biswas, A., Biswas, J., Chandra, R., et al. (2025) · ACM Transactions on Human-Robot Interaction

Social Robot Interaction and HRIRobotic Path Planning Algorithms

Cited by 107

ReLMoGen: Leveraging Motion Generation in Reinforcement Learning for Mobile Manipulation

Xia, F., Li, C., Martín-Martín, R., Litany, O., Toshev, A., & Savarese, S. (2020) · arXiv

Reinforcement Learning in RoboticsRobot Manipulation and Learning

Cited by 33

Large Language Models as Generalizable Policies for Embodied Tasks

Szot, A., Schwarzer, M., Agrawal, H., Mazoure, B., Talbott, W., Metcalf, K., Mackraz, N., Hjelm, D., & Toshev, A. (2023) · arXiv

Reinforcement Learning in RoboticsRobot Manipulation and Learning

Cited by 14

Scalable Pre-training of Large Autoregressive Image Models

El-Nouby, A., Klein, M., Zhai, S., Bautista, M. A., Toshev, A., Shankar, V., Susskind, J. M., & Joulin, A. (2024) · arXiv

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 9

On robustness in multimodal learning

McKinzie, B., Cheng, J., Shankar, V., Yang, Y., Shlens, J., & Toshev, A. (2023) · arXiv

Multimodal Machine Learning ApplicationsAdversarial Robustness in Machine Learning

Cited by 1

Scaling Synthetic Task Generation for Agents via Exploration

Ramrakhya, R., Szot, A., Attia, O., Yang, Y., Nguyen, A., Mazoure, B., Gan, Z., Agrawal, H., & Toshev, A. (2025) · arXiv

Speech and dialogue systemsMultimodal Machine Learning Applications

Cited by 0

MobileCLIP2: Improving Multi-Modal Reinforced Training

Faghri, F., Vasu, P. K. A., Koc, C., Shankar, V., Toshev, A., Tuzel, O., & Pouransari, H. (2025) · arXiv

Multimodal Machine Learning ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 0