Research output

Research output per year 2001 2006 2010 2011 2012 2014 2015 2021 2024

• 57 Conference contribution
• 14 Paper
• 14 Conference article
• 13 Article
• 8 More
  • 3 Chapter (peer-reviewed)
  • 1 Commissioned report
  • 1 Other report
  • 1 Chapter
  • 1 Editorial
  • 1 Other contribution

Research output per year

Research output per year

Search results

• 2022

  Learning to Navigate Wikipedia by Taking Random Walks

  Zaheer, M., Marino, K., Grathwohl, W., Schultz, J., Shang, W., Babayan, S., Ahuja, A., Dasgupta, I., Kaeser-Chen, C. & Fergus, R., 2022, Advances in Neural Information Processing Systems 35 - 36th Conference on Neural Information Processing Systems, NeurIPS 2022. Koyejo, S., Mohamed, S., Agarwal, A., Belgrave, D., Cho, K. & Oh, A. (eds.). Neural information processing systems foundation, (Advances in Neural Information Processing Systems; vol. 35).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Intelligent Web 100%
  • Artificial Intelligence of Things (AIoT) 50%
  • Fact Verification 50%
• 2021

  Automatic Data Augmentation for Generalization in Reinforcement Learning

  Raileanu, R., Goldstein, M., Yarats, D., Kostrikov, I. & Fergus, R., 2021, Advances in Neural Information Processing Systems 34 - 35th Conference on Neural Information Processing Systems, NeurIPS 2021. Ranzato, M., Beygelzimer, A., Dauphin, Y., Liang, P. S. & Wortman Vaughan, J. (eds.). Neural information processing systems foundation, p. 5402-5415 14 p. (Advances in Neural Information Processing Systems; vol. 7).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Reinforcement Learning 100%
  • Data Augmentation 100%
  • Automated Data Augmentation 100%
  • Actor-critic Algorithm 50%
  • Regularization Term 33%

• Decoupling Value and Policy for Generalization in Reinforcement Learning

  Raileanu, R. & Fergus, R., 2021, Proceedings of the 38th International Conference on Machine Learning, ICML 2021. ML Research Press, p. 8787-8798 12 p. (Proceedings of Machine Learning Research; vol. 139).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Reinforcement Learning 100%
  • Function Value 100%
  • Learning Algorithm 100%
  • Auxiliaries 50%
  • New-State 25%

• Imitation by Predicting Observations

  Jaegle, A., Sulsky, Y., Ahuja, A., Bruce, J., Fergus, R. & Wayne, G., 2021, Proceedings of the 38th International Conference on Machine Learning, ICML 2021. ML Research Press, p. 4665-4676 12 p. (Proceedings of Machine Learning Research; vol. 139).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Reward Model 100%
  • Continuous Control 100%
  • Behavior (Neuroscience) 100%
  • Inverse RL 50%

• Improving Sample Efficiency in Model-Free Reinforcement Learning from Images

  Yarats, D., Zhang, A., Kostrikov, I., Amos, B., Pineau, J. & Fergus, R., 2021, 35th AAAI Conference on Artificial Intelligence, AAAI 2021. Association for the Advancement of Artificial Intelligence, p. 10674-10681 8 p. (35th AAAI Conference on Artificial Intelligence, AAAI 2021; vol. 12A).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  Open Access

  • Model-Free Reinforcement Learning 100%
  • Reinforcement Learning 100%
  • Dimensional Image 50%
  • Learning Algorithm 50%
  • Image Reconstruction 50%

• Offline Reinforcement Learning with Fisher Divergence Critic Regularization

  Kostrikov, I., Tompson, J., Fergus, R. & Nachum, O., 2021, Proceedings of the 38th International Conference on Machine Learning, ICML 2021. ML Research Press, p. 5774-5783 10 p. (Proceedings of Machine Learning Research; vol. 139).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Regularization 100%
  • Reinforcement Learning 100%
  • Fisher Divergence 100%
  • Gradient Penalty 33%
  • Fast Convergence 25%

• Reinforcement Learning with Prototypical Representations

  Yarats, D., Fergus, R., Lazaric, A. & Pinto, L., 2021, Proceedings of the 38th International Conference on Machine Learning, ICML 2021. ML Research Press, p. 11920-11931 12 p. (Proceedings of Machine Learning Research; vol. 139).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Reinforcement Learning 100%
  • Prototypical Representation 100%
  • Task-Specific Training 100%
  • Representation Learning 50%
  • Sample-Efficient Reinforcement Learning 33%
• 2020

  Fast adaptation to new environments via policy-dynamics value functions

  Raileanu, R., Goldstein, M., Szlam, A. & Fergus, R., 2020, 37th International Conference on Machine Learning, ICML 2020. Daume, H. & Singh, A. (eds.). International Machine Learning Society (IMLS), p. 7876-7887 12 p. (37th International Conference on Machine Learning, ICML 2020; vol. PartF168147-11).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Policy Dynamics 100%
  • RL Algorithm 20%
  • Training Environment 20%
• 2019

  Finding generalizable evidence by learning to convince Q&A models

  Perez, E., Karamcheti, S., Fergus, R., Weston, J., Kiela, D. & Cho, K., 2019, EMNLP-IJCNLP 2019 - 2019 Conference on Empirical Methods in Natural Language Processing and 9th International Joint Conference on Natural Language Processing, Proceedings of the Conference. Association for Computational Linguistics, p. 2402-2411 10 p. (EMNLP-IJCNLP 2019 - 2019 Conference on Empirical Methods in Natural Language Processing and 9th International Joint Conference on Natural Language Processing, Proceedings of the Conference).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Full Passage 100%
• 2018

  Composable planning with attributes

  Zhang, A., Lerer, A., Sukhbaatar, S., Fergus, R. & Szlam, A., 2018, 35th International Conference on Machine Learning, ICML 2018. Krause, A. & Dy, J. (eds.). International Machine Learning Society (IMLS), p. 9292-9307 16 p. (35th International Conference on Machine Learning, ICML 2018; vol. 13).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Block Stacking 100%
  • World Games 100%
  • Grid World 100%
  • Complex Task 100%
  • And-States 50%

• Learning by Asking Questions

  Misra, I., Girshick, R., Fergus, R., Hebert, M., Gupta, A. & Van Der Maaten, L., Dec 14 2018, Proceedings - 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2018. IEEE Computer Society, p. 11-20 10 p. 8578107. (Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Visual Question Answering 100%
  • Question Answering Model 25%
  • Train Data 25%
  • Naturalistic Learning 25%

• Modeling others using oneself in multi-agent reinforcement learning

  Raileanu, R., Denton, E., Szlam, A. & Fergus, R., 2018, 35th International Conference on Machine Learning, ICML 2018. Krause, A. & Dy, J. (eds.). International Machine Learning Society (IMLS), p. 6779-6788 10 p. (35th International Conference on Machine Learning, ICML 2018; vol. 10).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Multi-Agent Reinforcement Learning 100%
  • Multi-agent Reinforcement Learning 100%

• Stochastic Video Generation with a Learned Prior

  Denton, E. & Fergus, R., 2018, 35th International Conference on Machine Learning, ICML 2018. Krause, A. & Dy, J. (eds.). International Machine Learning Society (IMLS), p. 1906-1919 14 p. (35th International Conference on Machine Learning, ICML 2018; vol. 3).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Stochastics 100%
  • Generation Model 100%
  • Future Frame 100%
  • Time Step 50%
  • Future Worlds 50%
• 2016

  Deep End2End Voxel2Voxel Prediction

  Tran, D., Bourdev, L., Fergus, R., Torresani, L. & Paluri, M., Dec 16 2016, Proceedings - 29th IEEE Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2016. IEEE Computer Society, p. 402-409 8 p. 7789547. (IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Architecture Search 100%
  • 3D Convolution 100%
  • Video Semantic Segmentation 100%
  • Video Classification 100%
  • Video Object Detection 100%

• Learning physical intuition of block towers by example

  Lerer, A., Gross, S. & Fergus, R., 2016, 33rd International Conference on Machine Learning, ICML 2016. Balcan, M. F. & Weinberger, K. Q. (eds.). International Machine Learning Society (IMLS), p. 648-656 9 p. (33rd International Conference on Machine Learning, ICML 2016; vol. 1).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Intuitive Physics 100%
  • Physics 100%
  • Network Model 100%
  • Convolutional Network 100%

• Learning simple algorithms from examples

  Zaremba, W., Mikolov, T., Joulin, A. & Fergus, R., 2016, 33rd International Conference on Machine Learning, ICML 2016. Balcan, M. F. & Weinberger, K. Q. (eds.). International Machine Learning Society (IMLS), p. 639-647 9 p. (33rd International Conference on Machine Learning, ICML 2016; vol. 1).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Digit Multiplication 100%
  • Multi-digit Addition 50%
• 2015

  Beyond frontal faces: Improving Person Recognition using multiple cues

  Zhang, N., Paluri, M., Taigman, Y., Fergus, R. & Bourdev, L., Oct 14 2015, IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2015. IEEE Computer Society, p. 4804-4813 10 p. 7299113. (Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition; vol. 07-12-June-2015).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  Open Access

  • Photo Album 100%
  • Frontal Face 100%
  • Person Recognition 100%
  • Recognizer 100%
  • Image Resolution 100%

• Deep Neural Networks Predict Category Typicality Ratings for Images

  Lake, B. M., Zaremba, W., Fergus, R. & Gureckis, T. M., 2015, Proceedings of the 37th Annual Meeting of the Cognitive Science Society, CogSci 2015. Noelle, D. C., Dale, R., Warlaumont, A., Yoshimi, J., Matlock, T., Jennings, C. D. & Maglio, P. P. (eds.). The Cognitive Science Society, p. 1243-1248 6 p. (Proceedings of the 37th Annual Meeting of the Cognitive Science Society, CogSci 2015).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Category Typicality 100%
  • Deep Neural Network 100%
  • Predictive Power 100%
  • Convolutional Network 100%
  • Neural Network 100%

• End-to-end integration of a Convolutional Network, Deformable Parts Model and non-maximum suppression

  Wan, L., Eigen, D. & Fergus, R., Oct 14 2015, IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2015. IEEE Computer Society, p. 851-859 9 p. 7298686. (Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition; vol. 07-12-June-2015).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  Open Access

  • Deformable Part Model 100%
  • Deformable Part 100%
  • Isolated Object 50%
  • Composition Modeling 33%
  • PASCAL VOC 33%

• Improving image classification with location context

  Tang, K., Paluri, M., Fei-Fei, L., Fergus, R. & Bourdev, L., Feb 17 2015, 2015 International Conference on Computer Vision, ICCV 2015. Institute of Electrical and Electronics Engineers Inc., p. 1008-1016 9 p. 7410478. (Proceedings of the IEEE International Conference on Computer Vision; vol. 2015 International Conference on Computer Vision, ICCV 2015).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  Open Access

  • Creative Commons 100%
  • Mean Average Precision 100%
  • Location Sensitive 50%
  • Optimal Pooling 50%
  • Neural Network Framework 50%

• Learning spatiotemporal features with 3D convolutional networks

  Tran, D., Bourdev, L., Fergus, R., Torresani, L. & Paluri, M., Feb 17 2015, 2015 International Conference on Computer Vision, ICCV 2015. Institute of Electrical and Electronics Engineers Inc., p. 4489-4497 9 p. 7410867. (Proceedings of the IEEE International Conference on Computer Vision; vol. 2015 International Conference on Computer Vision, ICCV 2015).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  Open Access

  • 3D Convolutional Network 100%
  • Convolutional Network 100%
  • Spatio-temporal Learning 66%
  • Representation Learning 50%
  • UCF-101 33%

• Predicting depth, surface normals and semantic labels with a common multi-scale convolutional architecture

  Eigen, D. & Fergus, R., Feb 17 2015, 2015 International Conference on Computer Vision, ICCV 2015. Institute of Electrical and Electronics Engineers Inc., p. 2650-2658 9 p. 7410661. (Proceedings of the IEEE International Conference on Computer Vision; vol. 2015 International Conference on Computer Vision, ICCV 2015).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  Open Access

  • Multi-scale Convolutional 100%
  • Surface Normal Estimation 100%
  • Depth Prediction 100%
  • Computer Vision Tasks 100%
  • Output Map 100%

• User conditional hashtag prediction for images

  Denton, E., Weston, J., Paluri, M., Bourdev, L. & Fergus, R., Aug 10 2015, KDD 2015 - Proceedings of the 21st ACM SIGKDD Conference on Knowledge Discovery and Data Mining. Association for Computing Machinery, p. 1731-1740 10 p. (Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining; vol. 2015-August).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Large Data Set 100%
  • image feature 100%
  • Convolutional Neural Network 100%
  • Social Network 100%
  • Image Content 100%

• Web scale photo hash clustering on a single machine

  Gong, Y., Pawlowski, M., Yang, F., Brandy, L., Boundev, L. & Fergus, R., Oct 14 2015, IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2015. IEEE Computer Society, p. 19-27 9 p. 7298596. (Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition; vol. 07-12-June-2015).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Single Machine 100%
  • Photo Sharing Websites 33%
  • Similarity Preserving 33%
  • Binary Clusters 33%
  • Clustering Accuracy 33%
• 2014

  Depth map prediction from a single image using a multi-scale deep network

  Eigen, D., Puhrsch, C. & Fergus, R., 2014, Advances in Neural Information Processing Systems. January ed. Neural information processing systems foundation, Vol. 3. p. 2366-2374 9 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Depth Map Prediction 100%
  • Multi-scale Deep Neural Network 100%
  • Training Data 100%
  • Local Information 100%
  • stereo-image 100%

• Exploiting linear structure within convolutional networks for efficient evaluation

  Denton, E., Zaremba, W., Bruna, J., LeCun, Y. & Fergus, R., 2014, Advances in Neural Information Processing Systems. January ed. Neural information processing systems foundation, Vol. 2. p. 1269-1277 9 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Large State 100%
  • Convolutional Layer 100%
  • Floating-point Operations 100%
  • Internet Scale 100%
  • Floating-Point Operation 100%

• Instance segmentation of indoor scenes using a coverage loss

  Silberman, N., Sontag, D. & Fergus, R., 2014, Computer Vision, ECCV 2014 - 13th European Conference, Proceedings. PART 1 ed. Springer Verlag, p. 616-631 16 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 8689 LNCS, no. PART 1).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Coverage Loss 100%
  • Instance Segmentation 100%
  • Coverage Metrics 50%
  • Region Feature 50%

• Learning to discover efficient mathematical identities

  Zaremba, W., Kurach, K. & Fergus, R., 2014, Advances in Neural Information Processing Systems. January ed. Neural information processing systems foundation, Vol. 2. p. 1278-1286 9 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Grammar Framework 100%
  • Learning Approach 100%
  • Brute-force Search 100%
  • Complex Identity 50%

• Visualizing and understanding convolutional networks

  Zeiler, M. D. & Fergus, R., 2014, Computer Vision, ECCV 2014 - 13th European Conference, Proceedings. PART 1 ed. Springer Verlag, p. 818-833 16 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 8689 LNCS, no. PART 1).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • ImageNet 100%
  • Intermediate Features 50%
  • Caltech-256 50%
  • Ablation Study 50%
  • Classification Benchmark 50%
• 2013

  Regularization of neural networks using DropConnect

  Wan, L., Zeiler, M., Zhang, S., LeCun, Y. & Fergus, R., 2013, 30th International Conference on Machine Learning, ICML 2013. PART 3 ed. International Machine Learning Society (IMLS), p. 2095-2103 9 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Regularization 100%
  • Neural Network 100%
  • DropConnect 100%
  • Generalization Performance 50%
  • Selected Subset 33%

• Restoring an image taken through a window covered with dirt or rain

  Eigen, D., Krishnan, D. & Fergus, R., 2013, Proceedings - 2013 IEEE International Conference on Computer Vision, ICCV 2013. Institute of Electrical and Electronics Engineers Inc., p. 633-640 8 p. 6751188. (Proceedings of the IEEE International Conference on Computer Vision).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Image Processing 100%
  • Shallower 100%
  • Natural Image 100%
  • Image Pair 100%
  • Single Image 100%
• 2012

  A hybrid neural-network latent topic model

  Wan, L., Zhu, L. & Fergus, R., 2012, Proceedings of the International Conference on Artificial Intelligence and Statistics (AISTATS).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

• Indoor segmentation and support inference from RGBD images

  Silberman, N., Hoiem, D., Kohli, P. & Fergus, R., 2012, Computer Vision, ECCV 2012 - 12th European Conference on Computer Vision, Proceedings. PART 5 ed. p. 746-760 15 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 7576 LNCS, no. PART 5).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Support Relations 100%
  • Indoor Segmentation 100%
  • Physical Support 100%
  • Support Relationship 100%
  • Detailed Annotation 33%

• Multidimensional spectral hashing

  Weiss, Y., Fergus, R. & Torralba, A., 2012, Computer Vision, ECCV 2012 - 12th European Conference on Computer Vision, Proceedings. PART 5 ed. p. 340-353 14 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 7576 LNCS, no. PART 5).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Spectral Hashing 100%
  • Kernel Trick 33%
  • Binary Code Learning 33%
  • Distance Threshold 33%
  • Spectral Relaxation 33%

• Nonparametric image parsing using adaptive neighbor sets

  Eigen, D. & Fergus, R., 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2012. p. 2799-2806 8 p. 6248004. (Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Adaptive Neighbors 100%
  • Image Parsing 100%
  • Multiple Feature Descriptors 50%
  • Skewed Distribution 50%
  • Rebalance 50%
• 2011

  Adaptive deconvolutional networks for mid and high level feature learning

  Zeiler, M. D., Taylor, G. W. & Fergus, R., 2011, 2011 International Conference on Computer Vision, ICCV 2011. p. 2018-2025 8 p. 6126474. (Proceedings of the IEEE International Conference on Computer Vision).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Convolutional Sparse Coding 100%
  • High-level Feature Learning 100%
  • Learning Methods 100%
  • Hierarchical Model 50%

• Blind deconvolution using a normalized sparsity measure

  Krishnan, D., Tay, T. & Fergus, R., 2011, 2011 IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2011. IEEE Computer Society, p. 233-240 8 p. 5995521. (Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Blind Deconvolution 100%
  • Sparsity Measure 100%
  • Cost Function 100%
  • Spatially Varying Blur 50%
  • Edge Localization 50%

• Facial expression transfer with input-output Temporal Restricted Boltzmann Machines

  Zeiler, M. D., Taylor, G. W., Sigal, L., Matthews, I. & Fergus, R., 2011, Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011, NIPS 2011. Neural Information Processing Systems, (Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011, NIPS 2011).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Input/Output 100%
  • Facial Expression 100%
  • Boltzmann Machine 100%
  • Facial Expression Transfer 100%
  • Desirable Property 50%

• Indoor scene segmentation using a structured light sensor

  Silberman, N. & Fergus, R., 2011, 2011 IEEE International Conference on Computer Vision Workshops, ICCV Workshops 2011. p. 601-608 8 p. 6130298. (Proceedings of the IEEE International Conference on Computer Vision).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Structured Light Sensor 100%
  • Image Intensity 100%
  • Intensity Image 66%
  • Depth Map 33%
  • Scene Understanding 33%

• Learning invariance through imitation

  Taylor, G. W., Spiro, I., Bregler, C. & Fergus, R., 2011, 2011 IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2011. IEEE Computer Society, p. 2729-2736 8 p. 5995538. (Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Dimensional Image 100%
  • Supervised Method 100%
  • Background Scale 50%
  • Class Membership 50%
  • Crowdsourcing 50%
• 2010

  Case for automated detection of diabetic retinopathy

  Silberman, N., Ahlrich, K., Fergus, R. & Subramanian, L., 2010, Artificial Intelligence for Development - Papers from the AAAI Spring Symposium, Technical Report. AI Access Foundation, p. 85-90 6 p. (AAAI Spring Symposium - Technical Report; vol. SS-10-01).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Diabetic Retinopathy Screening 100%
  • Diabetic Retinopathy 100%
  • Eye Hospital 33%
  • Aravind 33%
  • Retina Image 25%

• Convolutional learning of spatio-temporal features

  Taylor, G. W., Fergus, R., LeCun, Y. & Bregler, C., 2010, Computer Vision, ECCV 2010 - 11th European Conference on Computer Vision, Proceedings. PART 6 ed. Springer Verlag, p. 140-153 14 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 6316 LNCS, no. PART 6).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Motion Features 100%
  • Latent Representation 100%
  • Action Recognition 100%
  • Competitive Performance 100%
  • Temporal Feature 100%

• Deconvolutional networks

  Zeiler, M. D., Krishnan, D., Taylor, G. W. & Fergus, R., 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR 2010. p. 2528-2535 8 p. 5539957. (Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Edge Information 100%
  • Edge Symmetry 100%
  • Mid-level Cues 100%
  • Deconvolutional Network 100%
  • Learning Framework 100%

• Pose-sensitive embedding by nonlinear NCA regression

  Taylor, G. W., Fergus, R., Williams, G., Spiro, I. & Bregler, C., 2010, Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010, NIPS 2010. Neural Information Processing Systems, (Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010, NIPS 2010).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Component Analysis 100%
  • Analysis Framework 50%
  • Mechanical Turk 50%
  • Synthetic Data 50%
  • Video Database 50%

• Semantic label sharing for learning with many categories

  Fergus, R., Bernal, H., Weiss, Y. & Torralba, A., 2010, Computer Vision, ECCV 2010 - 11th European Conference on Computer Vision, Proceedings. PART 1 ed. Springer Verlag, p. 762-775 14 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 6311 LNCS, no. PART 1).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Semantic Distance 100%
  • Semantic Label 100%
  • WordNet Hierarchy 50%
• 2009

  Fast image deconvolution using hyper-laplacian priors

  Krishnan, D. & Fergus, R., 2009, Advances in Neural Information Processing Systems 22 - Proceedings of the 2009 Conference. Neural Information Processing Systems, p. 1033-1041 9 p. (Advances in Neural Information Processing Systems 22 - Proceedings of the 2009 Conference).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Hyper-Laplacian Prior 100%
  • Image Deconvolution 100%
  • Megapixel 100%
  • Deconvolution 100%
  • Megapixel Image 66%

• Learning invariant features through topographic filter maps

  Kavukcuoglu, K., Ranzato, M., Fergus, R. & LeCun, Y., 2009, 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, CVPR Workshops 2009. IEEE Computer Society, p. 1605-1612 8 p. 5206545. (2009 IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2009).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Similar Filter 100%
  • Learned Features 33%
  • Nonlinear Transform 33%
  • Multiple Filters 33%
  • Feature Descriptor 33%

• Semi-supervised learning in gigantic image collections

  Fergus, R., Weiss, Y. & Torralba, A., 2009, Advances in Neural Information Processing Systems 22 - Proceedings of the 2009 Conference. Neural Information Processing Systems, p. 522-530 9 p. (Advances in Neural Information Processing Systems 22 - Proceedings of the 2009 Conference).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Semi-supervised Learning 100%
  • Image Collection 100%
  • Image Collections 100%
  • Semisupervised Learning 100%
  • Eigenvector 50%

• Spectral hashing

  Weiss, Y., Torralba, A. & Fergus, R., 2009, Advances in Neural Information Processing Systems 21 - Proceedings of the 2008 Conference. Neural Information Processing Systems, p. 1753-1760 8 p. (Advances in Neural Information Processing Systems 21 - Proceedings of the 2008 Conference).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Laplace Operator 100%
  • Eigenvector 100%
  • Hashing 100%
  • Graph Laplacian Eigenvectors 100%
  • Graph Convergence 100%
• 2008

  Object recognition by scene alignment

  Russell, B. C., Torralba, A., Liu, C., Fergus, R. & Freeman, W. T., 2008, Advances in Neural Information Processing Systems 20 - Proceedings of the 2007 Conference. Neural Information Processing Systems, (Advances in Neural Information Processing Systems 20 - Proceedings of the 2007 Conference).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Object Recognition 100%
  • Object Category 100%
  • Object Identity 100%
  • Scene Alignment 100%
  • Recognition System 50%