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

• 2024

  ADAPTIVE RETRIEVAL AND SCALABLE INDEXING FOR k-NN SEARCH WITH CROSS-ENCODERS

  Yadav, N., Monath, N., Zaheer, M., Fergus, R. & McCallum, A., 2024.

  Research output: Contribution to conference › Paper › peer-review

  • Cross-encoder 100%
  • Dual Encoder 83%
  • Item Embedding 33%
  • Query Embedding 16%
  • Sparse Matrix Factorization 9%

• A Fresh Take on Stale Embeddings: Improving Dense Retriever Training with Corrector Networks

  Monath, N., Grathwohl, W., Boratko, M., Fergus, R., McCallum, A. & Zaheer, M., 2024, In: Proceedings of Machine Learning Research. 235, p. 36072-36087 16 p.

  Research output: Contribution to journal › Conference article › peer-review

  • Dense Retrievers 100%
  • Target Embedding 100%
  • Dense Retrieval 66%
  • Softmax Function 25%

• Cambrian-1: A Fully Open, Vision-Centric Exploration of Multimodal LLMs

  Tong, S., Brown, E., Wu, P., Woo, S., Middepogu, M., Akula, S. C., Yang, J., Yang, S., Iyer, A., Pan, X., Wang, A., Fergus, R., LeCun, Y. & Xie, S., 2024, In: Advances in Neural Information Processing Systems. 37

  Research output: Contribution to journal › Conference article › peer-review

  • Instruction Tuning 100%
  • Visual Learning 66%
  • Visual Instruction 66%
  • High-resolution 33%
  • Publicly Available 33%

• diff History for Neural Language Agents

  Piterbarg, U., Pinto, L. & Fergus, R., 2024, In: Proceedings of Machine Learning Research. 235, p. 40843-40868 26 p.

  Research output: Contribution to journal › Conference article › peer-review

  • Language Modeling 100%
  • Interaction History 50%
  • Unix 25%
  • Embodied Control 25%
  • Need for Interaction 25%

• USTAD: Unified Single-model Training Achieving Diverse Scores for Information Retrieval

  Kim, S., Rawat, A. S., Zaheer, M., Jitkrittum, W., Sadhanala, V., Jayasumana, S., Menon, A. K., Fergus, R. & Kumar, S., 2024, In: Proceedings of Machine Learning Research. 235, p. 24486-24508 23 p.

  Research output: Contribution to journal › Conference article › peer-review

  • Training Model 100%
  • Information Retrieval 100%
  • Embedding Alignment 33%
  • Large-scale Retrieval 33%
  • Asymmetric Architecture 33%
• 2023

  Distilling Internet-Scale Vision-Language Models into Embodied Agents

  Sumers, T., Marino, K., Ahuja, A., Fergus, R. & Dasgupta, I., 2023, In: Proceedings of Machine Learning Research. 202, p. 32797-32818 22 p.

  Research output: Contribution to journal › Conference article › peer-review

  • Embodied Agent 100%
  • Behavior (Neuroscience) 100%
  • Hindsight Experience Replay 25%
  • Language Grounding 25%
  • Existing Category 25%

• LEARNING ABOUT PROGRESS FROM EXPERTS

  Bruce, J., Anand, A., Mazoure, B. & Fergus, R., 2023.

  Research output: Contribution to conference › Paper › peer-review

  • Case Study 100%
  • Expert Data 33%

• NetHack is Hard to Hack

  Piterbarg, U., Pinto, L. & Fergus, R., 2023, In: Advances in Neural Information Processing Systems. 36

  Research output: Contribution to journal › Conference article › peer-review

  • NetHack 100%
  • Performance Gap 100%
  • Locomotion 100%
  • Reinforcement Learning 100%
  • Median 100%

• Reduce, Reuse, Recycle: Compositional Generation with Energy-Based Diffusion Models and MCMC

  Du, Y., Durkan, C., Strudel, R., Tenenbaum, J. B., Dieleman, S., Fergus, R., Sohl-Dickstein, J., Doucet, A. & Grathwohl, W., 2023, In: Proceedings of Machine Learning Research. 202, p. 8489-8510 22 p.

  Research output: Contribution to journal › Conference article › peer-review

  • Diffusion Model 100%
  • Reduce Reuse Recycle 100%
  • Facilitated Diffusion 100%
  • Web Page 16%
  • Probability Density Function 16%

• TEACHER GUIDED TRAINING: AN EFFICIENT FRAMEWORK FOR KNOWLEDGE TRANSFER

  Zaheer, M., Rawat, A. S., Kim, S., You, C., Jain, H., Veit, A., Fergus, R. & Kumar, S., 2023.

  Research output: Contribution to conference › Paper › peer-review

  • Data Domain 100%
  • Knowledge Transfer 100%
  • Generative Model 50%
  • Performance Gain 50%
  • Training Data 50%
• 2022

  IntPhys 2019: A Benchmark for Visual Intuitive Physics Understanding

  Riochet, R., Castro, M. Y., Bernard, M., Lerer, A., Fergus, R., Izard, V. & Dupoux, E., Sep 1 2022, In: IEEE Transactions on Pattern Analysis and Machine Intelligence. 44, 9, p. 5016-5025 10 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  • Artificial System 100%
  • Next-frame Prediction 33%
  • Physical Possibility 33%
  • Quadruplets 33%
  • Semantic Mask 33%

• 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%

• Biological structure and function emerge from scaling unsupervised learning to 250 million protein sequences

  Rives, A., Meier, J., Sercu, T., Goyal, S., Lin, Z., Liu, J., Guo, D., Ott, M., Zitnick, C. L., Ma, J. & Fergus, R., Apr 13 2021, In: Proceedings of the National Academy of Sciences of the United States of America. 118, 15, e2016239118.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  • Amino Acids 100%
  • Peptide Sequence 100%
  • Artificial Intelligence 100%
  • Protein Secondary Structure 50%
  • Tertiary Structure 50%

• 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%

• IMAGE AUGMENTATION IS ALL YOU NEED: REGULARIZING DEEP REINFORCEMENT LEARNING FROM PIXELS

  Yarats, D., Fergus, R. & Kostrikov, I., 2021.

  Research output: Contribution to conference › Paper › peer-review

  • Reinforcement Learning 100%
  • Deep Reinforcement Learning 100%
  • Model-Free Reinforcement Learning 75%
  • Value Policy 33%
  • Art Performance 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

  ENERGY-BASED MODELS FOR ATOMIC-RESOLUTION PROTEIN CONFORMATIONS

  Du, Y., Meier, J., Ma, J., Fergus, R. & Rives, A., 2020.

  Research output: Contribution to conference › Paper › peer-review

  • Energy Engineering 100%
  • Energy Function 100%
  • Conformation 100%
  • Protein Conformation 100%
  • Protein Structure 50%

• 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%

• Hierarchical RL using an ensemble of proprioceptive periodic policies

  Marino, K., Gupta, A., Szlam, A. & Fergus, R., Jan 1 2019.

  Research output: Contribution to conference › Paper › peer-review

  • Periodic Policy 100%
  • Sparse Reward 100%
  • Hierarchical RL 100%
  • High-level Policies 100%
  • High Level Policy 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%

• Intrinsic motivation and automatic curricula via asymmetric self-play

  Sukhbaatar, S., Lin, Z., Kostrikov, I., Synnaeve, G., Szlam, A. & Fergus, R., Jan 1 2018.

  Research output: Contribution to conference › Paper › peer-review

  • Intrinsic Motivation 100%
  • Unsupervised Training 100%
  • Self-play 100%
  • Unsupervised Manner 100%
  • Reward Structure 100%

• 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%
• 2017

  Preface

  Von Luxburg, U., Guyon, I., Bengio, S., Wallach, H., Fergus, R., Vishwanathan, S. V. N. & Garnett, R., 2017, In: Advances in Neural Information Processing Systems. 2017-December, p. xlix-liv

  Research output: Contribution to journal › Editorial › peer-review

• Project 1640 Observations of Brown Dwarf GJ 758 B: Near-infrared Spectrum and Atmospheric Modeling

  Nilsson, R., Veicht, A., Godfrey, P. A. G., Rice, E. L., Aguilar, J., Pueyo, L., Roberts, L. C., Oppenheimer, R., Brenner, D., Luszcz-Cook, S. H., Bacchus, E., Beichman, C., Burruss, R., Cady, E., Dekany, R., Fergus, R., Hillenbrand, L., Hinkley, S., King, D. & Lockhart, T. & 6 others, Parry, I. R., Sivaramakrishnan, A., Soummer, R., Vasisht, G., Zhai, C. & Zimmerman, N. T., Mar 20 2017, In: Astrophysical Journal. 838, 1, 64.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  • Spectrum Modeling 100%
  • Atmospheric Model 100%
  • Infrared Spectra 100%
  • Substellar Companion Stars 100%
  • J-band 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 multiagent communication with backpropagation

  Sukhbaatar, S., Szlam, A. & Fergus, R., 2016, In: Advances in Neural Information Processing Systems. p. 2252-2260 9 p.

  Research output: Contribution to journal › Conference article › peer-review

  • Multi-agent Communication 100%
  • multiagent learning 100%
  • Communicative Agents 50%

• 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 generative image models using a laplacian pyramid of adversarial networks

  Denton, E., Chintala, S., Szlam, A. & Fergus, R., 2015, In: Advances in Neural Information Processing Systems. 2015-January, p. 1486-1494 9 p.

  Research output: Contribution to journal › Conference article › peer-review

  • Laplacian Pyramid 100%
  • Generative Image Model 100%
  • Quantitative Assessment 50%
  • Convolutional Network 50%
  • Resolution Image 50%

• 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%

• Detection of third and sixth cranial nerve palsies with a novel method for eye tracking while watching a short film clip

  Samadani, U., Farooq, S., Ritlop, R., Warren, F., Reyes, M., Lamm, E., Alex, A., Nehrbass, E., Kolecki, R., Jureller, M., Schneider, J., Chen, A., Shi, C., Mendhiratta, N., Huang, J. H., Qian, M., Kwak, R., Mikheev, A., Rusinek, H. & George, A. & 4 others, Fergus, R., Kondziolka, D., Huang, P. P. & Smith, R. T., Mar 2015, In: Journal of Neurosurgery. 122, 3, p. 707-720 14 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  • Third Cranial Nerve Palsy 100%
  • Sixth Cranial Nerve Palsy 100%
  • Film Clips 100%
  • Eye Tracking 100%
  • Cranial Nerve Paralysis 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%

• End-to-end memory networks

  Sukhbaatar, S., Szlam, A., Weston, J. & Fergus, R., 2015, In: Advances in Neural Information Processing Systems. 2015-January, p. 2440-2448 9 p.

  Research output: Contribution to journal › Conference article › peer-review

  • End-to-end Memory Networks 100%
  • Output Symbol 100%
  • Recurrent Attention Model 50%

• 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%

• Training convolutional networks with noisy labels

  Sukhbaatar, S., Bruna, J., Paluri, M., Bourdev, L. & Fergus, R., Jan 1 2015.

  Research output: Contribution to conference › Paper › peer-review

  • Noise Layer 100%
  • Label Distribution 74%

• 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%