🧑‍🔬 Honglak Lee — all works

26 works · ← Honglak Lee

1. Convolutional deep belief networks for scalable unsupervised learning of hierarchical representations ↗International Conference on Machine Learning · no summary yetHonglak Lee et al.2009 · 2,412 citations
2. Unsupervised feature learning for audio classification using convolutional deep belief networks ↗neural information processing systems · no summary yetHonglak Lee et al.2009 · 934 citations
3. Learning Deep Representations of Fine-Grained Visual Descriptions ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetScott Reed et al.2016 · 809 citations
4. Evaluation of output embeddings for fine-grained image classification ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetZeynep Akata et al.2015 · 786 citations
5. Training Deep Neural Networks on Noisy Labels with Bootstrapping ↗arXiv (Cornell University) · no summary yetScott Reed et al.2014 · 731 citations
6. Similarity of Neural Network Representations RevisitedarXiv:1905.00414Simon Kornblith, Mohammad Norouzi, Honglak Lee, et al.2019 · 679 citations
7. An efficient framework for learning sentence representationsarXiv:1803.02893Lajanugen Logeswaran, Honglak Lee2018 · 577 citations
8. Action-Conditional Video Prediction using Deep Networks in Atari Games ↗arXiv:1507.08750 · no summary yetJunhyuk Oh et al.2015 · 467 citations
9. Learning Latent Dynamics for Planning from Pixels ↗arXiv:1811.04551 · no summary yetDanijar Hafner et al.2018 · 394 citations
10. Object Contour Detection with a Fully Convolutional Encoder-Decoder Network ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetJimei Yang et al.2016 · 388 citations
11. Zero-Shot Entity Linking by Reading Entity Descriptions ↗Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics · no summary yetLajanugen Logeswaran et al.2019 · 353 citations
12. Measuring Invariances in Deep Networks ↗no summary yetIan Goodfellow et al.2009 · 330 citations
13. Improving object detection with deep convolutional networks via Bayesian optimization and structured prediction ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetYuting Zhang et al.2015 · 220 citations
14. Overcoming Catastrophic Forgetting With Unlabeled Data in the Wild ↗IEEE/CVF International Conference on Computer Vision (ICCV) · no summary yetKibok Lee et al.2019 · 208 citations
15. Augmenting CRFs with Boltzmann Machine Shape Priors for Image Labeling ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetAndrew Kae et al.2013 · 176 citations
16. Dependency Sensitive Convolutional Neural Networks for Modeling Sentences and Documents ↗Proceedings of the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies · no summary yetRui Zhang, Honglak Lee, Dragomir R. Radev2016 · 152 citations
17. Adversarial Defense via Learning to Generate Diverse Attacks ↗IEEE/CVF International Conference on Computer Vision (ICCV) · no summary yetYunseok Jang et al.2019 · 111 citations
18. High Fidelity Video Prediction with Large Stochastic Recurrent Neural Networks ↗arXiv (Cornell University) · no summary yetRuben Villegas et al.2019 · 26 citations
19. Evolving Reinforcement Learning Algorithms ↗arXiv (Cornell University) · no summary yetJohn D. Co-Reyes et al.2021 · 22 citations
20. Source-Aware Training Enables Knowledge Attribution in Language ModelsarXiv:2404.01019Muhammad Khalifa, David Wadden, Emma Strubell, et al.2024 · 21 citations
21. MLRC-Bench: Can Language Agents Solve Machine Learning Research Challenges? ↗arXiv:2504.09702 · no summary yetYunxiang Zhang et al.2025 · 13 citations
22. Fine-grained Text Style Transfer with Diffusion-Based Language Models ↗Proceedings of the 8th Workshop on Representation Learning for NLP (RepL4NLP 2023) · no summary yetYiwei Lyu et al.2023 · 13 citations
23. A Definition of AGI ↗arXiv (Cornell University) · no summary yetDan Hendrycks et al.2025 · 6 citations
24. Deep Learning & Feature Learning Methods for Vision ↗no summary yetRob Fergus (nyu et al.2016
25. Under review as a conference paper at ICLR 2015 TRAINING DEEP NEURAL NETWORKS ON NOISY LABELS WITH BOOTSTRAPPING ↗no summary yetScott E. Reed et al.2015
26. Deep Learning & Feature Learning Methods for Vision CVPR 2012 Tutorial: 9am-5:30pm ↗no summary yetRob Fergus (nyu et al.2013

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