Dan Yamins
Publications by Year
Research Areas
Visual perception and processing mechanisms, Neural dynamics and brain function, Face Recognition and Perception, Machine Learning and Data Classification, Advanced Multi-Objective Optimization Algorithms
Most-Cited Works
- → Hyperopt: a Python library for model selection and hyperparameter optimization(2015)1,027 cited
- → Hyperopt: A Python Library for Optimizing the Hyperparameters of Machine Learning Algorithms(2013)804 cited
- → Making a Science of Model Search(2012)38 cited
- → The Neural Representation Benchmark and its Evaluation on Brain and Machine(2013)27 cited
- → Benchmarking Human Mid-Level Scene Understanding(2023)2 cited
- → Learning invariant object representations: asymmetric transfer of learning across line drawings and 3D cues(2015)
- → 3D-IntPhys: Towards More Generalized 3D-grounded Visual Intuitive Physics under Challenging Scenes(2023)
- → Are These the Same Apple? Comparing Images Based on Object Intrinsics(2023)
- → How Well Do Unsupervised Learning Algorithms Model Human Real-Time and Life-Long Learning?(2022)