Fischer, Ian

Speed/Accuracy Trade-Offs for Modern Convolutional Object Detectors

Huang, J., Rathod, V., Sun, C., Zhu, M., Korattikara, A., Fathi, A., Fischer, I., Wojna, Z., Song, Y., Guadarrama, S., et al. (2017) · 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 2,743

Learning Latent Dynamics for Planning from Pixels

Hafner, D., Lillicrap, T., Fischer, I., Villegas, R., Ha, D., Lee, H., & Davidson, J. (2018) · arXiv

Reinforcement Learning in RoboticsAI-based Problem Solving and Planning

Cited by 708

Generative Models of Visually Grounded Imagination

Vedantam, R., Fischer, I., Huang, J., & Murphy, K. (2017) · arXiv

Generative Adversarial Networks and Image SynthesisAdvanced Neural Network Applications

Cited by 81

Weighted Ensemble Self-Supervised Learning

Ruan, Y., Singh, S., Morningstar, W., Alemi, A. A., Ioffe, S., Fischer, I., & Dillon, J. V. (2022) · arXiv

Domain Adaptation and Few-Shot LearningAdvanced Neural Network Applications

Cited by 7

Evolving Deeper LLM Thinking

Lee, K.-H., Fischer, I., Wu, Y.-H., Marwood, D., Baluja, S., Schuurmans, D., & Chen, X. (2025) · arXiv

Topic ModelingAI-based Problem Solving and Planning

Cited by 2