---
title: "Honglak Lee — all works — Elamur Research"
description: "All 26 works of Honglak Lee in the Elamur Research library, the most cited first: our summaries where we have them, else the original."
canonical: "https://research.elamur.ai/free/en/authors/honglak-lee/works/"
---
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# Honglak Lee — all works

26 works · [← Honglak Lee](https://md.research.elamur.ai/free/en/authors/honglak-lee/)

1. **[Convolutional deep belief networks for scalable unsupervised learning of hierarchical representations ↗](https://doi.org/10.1145/1553374.1553453) International Conference on Machine Learning · no summary yet**Honglak Lee et al.*2009 · 2,412 citations*
2. **[Unsupervised feature learning for audio classification using convolutional deep belief networks ↗](https://openalex.org/W2107789863) neural information processing systems · no summary yet**Honglak Lee et al.*2009 · 934 citations*
3. **[Learning Deep Representations of Fine-Grained Visual Descriptions ↗](https://doi.org/10.1109/cvpr.2016.13) IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yet**Scott Reed et al.*2016 · 809 citations*
4. **[Evaluation of output embeddings for fine-grained image classification ↗](https://doi.org/10.1109/cvpr.2015.7298911) IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yet**Zeynep Akata et al.*2015 · 786 citations*
5. **[Training Deep Neural Networks on Noisy Labels with Bootstrapping ↗](https://arxiv.org/abs/1412.6596) arXiv (Cornell University) · no summary yet**Scott Reed et al.*2014 · 731 citations*
6. [**Similarity of Neural Network Representations Revisited arXiv:1905.00414**Simon Kornblith, Mohammad Norouzi, Honglak Lee, et al.*2019 · 679 citations*](https://md.research.elamur.ai/free/en/papers/kornblith-2019-similarity-neural-network-representations-revisited/)
7. [**An efficient framework for learning sentence representations arXiv:1803.02893**Lajanugen Logeswaran, Honglak Lee*2018 · 577 citations*](https://md.research.elamur.ai/free/en/papers/logeswaran-2018-efficient-framework-learning-sentence-representations/)
8. **[Action-Conditional Video Prediction using Deep Networks in Atari Games ↗](https://arxiv.org/abs/1507.08750) arXiv:1507.08750 · no summary yet**Junhyuk Oh et al.*2015 · 467 citations*
9. **[Learning Latent Dynamics for Planning from Pixels ↗](https://arxiv.org/abs/1811.04551) arXiv:1811.04551 · no summary yet**Danijar Hafner et al.*2018 · 394 citations*
10. **[Object Contour Detection with a Fully Convolutional Encoder-Decoder Network ↗](https://doi.org/10.1109/cvpr.2016.28) IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yet**Jimei Yang et al.*2016 · 388 citations*
11. **[Zero-Shot Entity Linking by Reading Entity Descriptions ↗](https://aclanthology.org/P19-1335/) Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics · no summary yet**Lajanugen Logeswaran et al.*2019 · 353 citations*
12. **[Measuring Invariances in Deep Networks ↗](https://openalex.org/W2105728138) no summary yet**Ian Goodfellow et al.*2009 · 330 citations*
13. **[Improving object detection with deep convolutional networks via Bayesian optimization and structured prediction ↗](https://doi.org/10.1109/cvpr.2015.7298621) IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yet**Yuting Zhang et al.*2015 · 220 citations*
14. **[Overcoming Catastrophic Forgetting With Unlabeled Data in the Wild ↗](https://doi.org/10.1109/iccv.2019.00040) IEEE/CVF International Conference on Computer Vision (ICCV) · no summary yet**Kibok Lee et al.*2019 · 208 citations*
15. **[Augmenting CRFs with Boltzmann Machine Shape Priors for Image Labeling ↗](https://doi.org/10.1109/cvpr.2013.263) IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yet**Andrew Kae et al.*2013 · 176 citations*
16. **[Dependency Sensitive Convolutional Neural Networks for Modeling Sentences and Documents ↗](https://aclanthology.org/N16-1177/) Proceedings of the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies · no summary yet**Rui Zhang, Honglak Lee, Dragomir R. Radev*2016 · 152 citations*
17. **[Adversarial Defense via Learning to Generate Diverse Attacks ↗](https://doi.org/10.1109/iccv.2019.00283) IEEE/CVF International Conference on Computer Vision (ICCV) · no summary yet**Yunseok Jang et al.*2019 · 111 citations*
18. **[High Fidelity Video Prediction with Large Stochastic Recurrent Neural Networks ↗](https://arxiv.org/abs/1911.01655) arXiv (Cornell University) · no summary yet**Ruben Villegas et al.*2019 · 26 citations*
19. **[Evolving Reinforcement Learning Algorithms ↗](https://arxiv.org/abs/2101.03958) arXiv (Cornell University) · no summary yet**John D. Co-Reyes et al.*2021 · 22 citations*
20. [**Source-Aware Training Enables Knowledge Attribution in Language Models arXiv:2404.01019**Muhammad Khalifa, David Wadden, Emma Strubell, et al.*2024 · 21 citations*](https://md.research.elamur.ai/free/en/papers/khalifa-2024-source-aware-training-enables-knowledge/)
21. **[MLRC-Bench: Can Language Agents Solve Machine Learning Research Challenges? ↗](https://arxiv.org/abs/2504.09702) arXiv:2504.09702 · no summary yet**Yunxiang Zhang et al.*2025 · 13 citations*
22. **[Fine-grained Text Style Transfer with Diffusion-Based Language Models ↗](https://aclanthology.org/2023.repl4nlp-1.6/) Proceedings of the 8th Workshop on Representation Learning for NLP (RepL4NLP 2023) · no summary yet**Yiwei Lyu et al.*2023 · 13 citations*
23. **[A Definition of AGI ↗](https://arxiv.org/abs/2510.18212) arXiv (Cornell University) · no summary yet**Dan Hendrycks et al.*2025 · 6 citations*
24. **[Deep Learning & Feature Learning Methods for Vision ↗](https://openalex.org/W7101056123) no summary yet**Rob Fergus (nyu et al.*2016*
25. **[Under review as a conference paper at ICLR 2015 TRAINING DEEP NEURAL NETWORKS ON NOISY LABELS WITH BOOTSTRAPPING ↗](https://openalex.org/W7099146532) no summary yet**Scott E. Reed et al.*2015*
26. **[Deep Learning & Feature Learning Methods for Vision CVPR 2012 Tutorial: 9am-5:30pm ↗](https://openalex.org/W7100355423) no summary yet**Rob Fergus (nyu et al.*2013*