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Honglak Lee, Ph.D. - Publications

Affiliations: 
Computer Science University of Michigan, Ann Arbor, Ann Arbor, MI 
Website:
http://web.eecs.umich.edu/~honglak/
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15 high-probability publications. We are testing a new system for linking publications to authors. You can help! If you notice any inaccuracies, please sign in and mark papers as correct or incorrect matches. If you identify any major omissions or other inaccuracies in the publication list, please let us know.

Year Citation  Score
2023 Jiang C, Hou X, Kondepudi A, Chowdury A, Freudiger CW, Orringer DA, Lee H, Hollon TC. Hierarchical discriminative learning improves visual representations of biomedical microscopy. Proceedings. Ieee Computer Society Conference On Computer Vision and Pattern Recognition. 2023: 19798-19808. PMID 37654477 DOI: 10.1109/cvpr52729.2023.01896  0.469
2020 Hollon TC, Pandian B, Urias E, Save AV, Adapa AR, Srinivasan S, Jairath NK, Farooq Z, Marie T, Al-Holou WN, Eddy K, Heth JA, Khalsa SSS, Conway K, Sagher O, ... ... Lee H, et al. Rapid, label-free detection of diffuse glioma recurrence using intraoperative stimulated Raman histology and deep neural networks. Neuro-Oncology. PMID 32672793 DOI: 10.1093/Neuonc/Noaa162  0.316
2020 Hollon TC, Pandian B, Adapa AR, Urias E, Save AV, Khalsa SSS, Eichberg DG, D'Amico RS, Farooq ZU, Lewis S, Petridis PD, Marie T, Shah AH, Garton HJL, Maher CO, ... ... Lee H, et al. Near real-time intraoperative brain tumor diagnosis using stimulated Raman histology and deep neural networks. Nature Medicine. PMID 31907460 DOI: 10.1038/S41591-019-0715-9  0.35
2020 Rajendran J, Lewis R, Veeriah V, Lee H, Singh S. How Should an Agent Practice? Proceedings of the Aaai Conference On Artificial Intelligence. 34: 5454-5461. DOI: 10.1609/AAAI.V34I04.5995  0.331
2019 Hollon T, Urias E, Adapa A, Jairath N, Save A, Canoll PD, Lee H, Freudiger C, Orringer D. NIMG-69. RAPID INTRAOPERATIVE DIAGNOSIS OF GLIOMA RECURRENCE USING STIMULATED RAMAN HISTOLOGY AND DEEP NEURAL NETWORKS Neuro-Oncology. 21: vi177-vi177. DOI: 10.1093/Neuonc/Noz175.738  0.351
2016 Burnap A, Pan Y, Liu Y, Ren Y, Lee H, Gonzalez R, Papalambros PY. Improving Design Preference Prediction Accuracy Using Feature Learning Journal of Mechanical Design. 138. DOI: 10.1115/1.4033427  0.379
2015 Bengio Y, Lee H. Editorial introduction to the Neural Networks special issue on Deep Learning of Representations. Neural Networks : the Official Journal of the International Neural Network Society. 64: 1-3. PMID 25595998 DOI: 10.1016/J.Neunet.2014.12.006  0.551
2015 Lenz I, Lee H, Saxena A. Deep learning for detecting robotic grasps The International Journal of Robotics Research. 34: 705-724. DOI: 10.1177/0278364914549607  0.552
2013 Bengio S, Deng L, Larochelle H, Lee H, Salakhutdinov R. Guest editors' introduction: special section on learning deep architectures. Ieee Transactions On Pattern Analysis and Machine Intelligence. 35: 1795-7. PMID 23946944 DOI: 10.1109/Tpami.2013.118  0.574
2013 Mittelman R, Lee H, Kuipers B, Savarese S. Weakly supervised learning of mid-level features with beta-bernoulli process restricted boltzmann machines Proceedings of the Ieee Computer Society Conference On Computer Vision and Pattern Recognition. 476-483. DOI: 10.1109/CVPR.2013.68  0.427
2012 Huang GB, Lee H, Learned-Miller E. Learning hierarchical representations for face verification with convolutional deep belief networks Proceedings of the Ieee Computer Society Conference On Computer Vision and Pattern Recognition. 2518-2525. DOI: 10.1109/CVPR.2012.6247968  0.55
2011 Lee H, Grosse R, Ranganath R, Ng AY. Unsupervised learning of hierarchical representations with convolutional deep belief networks Communications of the Acm. 54: 95-103. DOI: 10.1145/2001269.2001295  0.577
2009 Lee H, Grosse R, Ranganath R, Ng AY. Convolutional deep belief networks for scalable unsupervised learning of hierarchical representations Proceedings of the 26th International Conference On Machine Learning, Icml 2009. 609-616.  0.613
2007 Raina R, Battle A, Lee H, Packer B, Ng AY. Self-taught learning: Transfer learning from unlabeled data Acm International Conference Proceeding Series. 227: 759-766. DOI: 10.1145/1273496.1273592  0.561
2006 Lee H, Shen Y, Yu CH, Singh G, Ng AY. Quadruped robot obstacle negotiation via reinforcement learning Proceedings - Ieee International Conference On Robotics and Automation. 2006: 3003-3010. DOI: 10.1109/ROBOT.2006.1642158  0.532
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