---
title: "Oriol Vinyals — all works — Elamur Research"
description: "All 163 works of Oriol Vinyals 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/oriol-vinyals/works/"
---
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# Oriol Vinyals — all works

163 works · page 1 of 2 · 1–100 · [← Oriol Vinyals](https://md.research.elamur.ai/free/en/authors/oriol-vinyals/)

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1. [**Sequence to Sequence Learning with Neural Networks arXiv:1409.3215**Ilya Sutskever, Oriol Vinyals, Quoc V. Le*2014 · 18,409 citations*](https://md.research.elamur.ai/free/en/papers/sutskever-2014-sequence-sequence-learning-neural-networks/)
2. [**Distilling the Knowledge in a Neural Network arXiv:1503.02531**Geoffrey Hinton, Oriol Vinyals, Jeff Dean*2015 · 15,229 citations*](https://md.research.elamur.ai/free/en/papers/hinton-2015-distilling-knowledge-neural-network/)
3. [**Representation Learning with Contrastive Predictive Coding arXiv:1807.03748**Aaron van den Oord, Yazhe Li, Oriol Vinyals*2018 · 7,022 citations*](https://md.research.elamur.ai/free/en/papers/oord-2018-representation-learning-contrastive-predictive-coding/)
4. **[Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation ↗](https://arxiv.org/abs/1609.08144) arXiv:1609.08144 · no summary yet**Yonghui Wu et al.*2016 · 6,904 citations*
5. [**WaveNet: A Generative Model for Raw Audio arXiv:1609.03499**Aaron van den Oord, Sander Dieleman, Heiga Zen, et al.*2016 · 5,269 citations*](https://md.research.elamur.ai/free/en/papers/oord-2016-wavenet-generative-model-raw-audio/)
6. [**Neural Message Passing for Quantum Chemistry arXiv:1704.01212**Justin Gilmer, Samuel S. Schoenholz, Patrick F. Riley, et al.*2017 · 3,793 citations*](https://md.research.elamur.ai/free/en/papers/gilmer-2017-neural-message-passing-quantum-chemistry/)
7. **[Grandmaster level in StarCraft II using multi-agent reinforcement learning ↗](https://doi.org/10.1038/s41586-019-1724-z) Nature · no summary yet**Oriol Vinyals et al.*2019 · 3,577 citations*
8. **[DeCAF: A Deep Convolutional Activation Feature for Generic Visual Recognition ↗](https://arxiv.org/abs/1310.1531) arXiv:1310.1531 · no summary yet**Jeff Donahue et al.*2013 · 3,463 citations*
9. **[Neural Discrete Representation Learning ↗](https://arxiv.org/abs/1711.00937) arXiv (Cornell University) · no summary yet**Aäron van den Oord, Oriol Vinyals, Koray Kavukcuoglu*2017 · 3,163 citations*
10. **[Generating Sentences from a Continuous Space](https://md.research.elamur.ai/free/en/papers/bowman-2016-generating-sentences-continuous-space/) [Conference on Computational Natural Language Learning (CoNLL)](https://md.research.elamur.ai/free/en/venues/conll/)**Samuel R. Bowman, Luke Vilnis, Oriol Vinyals, et al.*2016 · 2,435 citations*
11. [**Recurrent Neural Network Regularization arXiv:1409.2329**Wojciech Zaremba, Ilya Sutskever, Oriol Vinyals*2014 · 2,412 citations*](https://md.research.elamur.ai/free/en/papers/zaremba-2014-recurrent-neural-network-regularization/)
12. **[Listen, attend and spell: A neural network for large vocabulary conversational speech recognition ↗](https://doi.org/10.1109/icassp.2016.7472621) IEEE International Conference on Acoustics Speech and Signal Processing · no summary yet**William Chan et al.*2016 · 2,374 citations*
13. **[Beyond short snippets: Deep networks for video classification ↗](https://doi.org/10.1109/cvpr.2015.7299101) 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**Joe Yue-Hei Ng et al.*2015 · 2,117 citations*
14. **[Conditional Image Generation with PixelCNN Decoders ↗](https://arxiv.org/abs/1606.05328) arXiv (Cornell University) · no summary yet**Aäron van den Oord et al.*2016 · 1,969 citations*
15. **[Scheduled Sampling for Sequence Prediction with Recurrent Neural Networks ↗](https://arxiv.org/abs/1506.03099) arXiv:1506.03099 · no summary yet**Samy Bengio et al.*2015 · 1,884 citations*
16. [**A Neural Conversational Model arXiv:1506.05869**Oriol Vinyals, Quoc Le*2015 · 1,791 citations*](https://md.research.elamur.ai/free/en/papers/vinyals-2015-neural-conversational-model/)
17. **[Convolutional, Long Short-Term Memory, fully connected Deep Neural Networks ↗](https://doi.org/10.1109/icassp.2015.7178838) IEEE International Conference on Acoustics Speech and Signal Processing · no summary yet**Tara N. Sainath et al.*2015 · 1,648 citations*
18. **[Learning skillful medium-range global weather forecasting ↗](https://doi.org/10.1126/science.adi2336) Science · no summary yet**Rémi Lam et al.*2023 · 1,493 citations*
19. **[Gemma: Open Models Based on Gemini Research and Technology ↗](https://arxiv.org/abs/2403.08295) arXiv:2403.08295 · no summary yet**Gemma Team et al.*2024 · 1,313 citations*
20. **[Gemma 2: Improving Open Language Models at a Practical Size ↗](https://arxiv.org/abs/2408.00118) arXiv:2408.00118 · no summary yet**Gemma Team et al.*2024 · 1,302 citations*
21. [**Matching Networks for One Shot Learning arXiv:1606.04080**Oriol Vinyals, Charles Blundell, Timothy Lillicrap, et al.*2016 · 1,197 citations*](https://md.research.elamur.ai/free/en/papers/vinyals-2016-matching-networks-one-shot-learning/)
22. **[Understanding deep learning requires rethinking generalization ↗](https://arxiv.org/abs/1611.03530) arXiv:1611.03530 · no summary yet**Chiyuan Zhang et al.*2016 · 1,174 citations*
23. **[Gemma 3 Technical Report ↗](https://arxiv.org/abs/2503.19786) arXiv:2503.19786 · no summary yet**Gemma Team et al.*2025 · 1,147 citations*
24. **[Exploring the Limits of Language Modeling ↗](https://arxiv.org/abs/1602.02410) arXiv:1602.02410 · no summary yet**Rafal Jozefowicz et al.*2016 · 1,091 citations*
25. **[Show and Tell: Lessons Learned from the 2015 MSCOCO Image Captioning Challenge ↗](https://doi.org/10.1109/tpami.2016.2587640) IEEE Transactions on Pattern Analysis and Machine Intelligence · no summary yet**Oriol Vinyals et al.*2016 · 929 citations*
26. **[Scaling Language Models: Methods, Analysis & Insights from Training Gopher ↗](https://arxiv.org/abs/2112.11446) arXiv:2112.11446 · no summary yet**Jack W. Rae et al.*2021 · 928 citations*
27. **[Improving language models by retrieving from trillions of tokens ↗](https://arxiv.org/abs/2112.04426) arXiv:2112.04426 · no summary yet**Sebastian Borgeaud et al.*2021 · 869 citations*
28. **[Addressing the Rare Word Problem in Neural Machine Translation](https://md.research.elamur.ai/free/en/papers/luong-2015-addressing-rare-word-problem-neural/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Thang Luong, Ilya Sutskever, Quoc Le, et al.*2015 · 832 citations*
29. **[Deep Audio-Visual Speech Recognition ↗](https://doi.org/10.1109/tpami.2018.2889052) IEEE Transactions on Pattern Analysis and Machine Intelligence · no summary yet**Triantafyllos Afouras et al.*2018 · 816 citations*
30. [**Show and Tell: A Neural Image Caption Generator arXiv:1411.4555**Oriol Vinyals, Alexander Toshev, Samy Bengio, et al.*2014 · 729 citations*](https://md.research.elamur.ai/free/en/papers/vinyals-2014-show-tell-neural-image-caption/)
31. **[Grammar as a Foreign Language ↗](https://arxiv.org/abs/1412.7449) arXiv:1412.7449 · no summary yet**Oriol Vinyals et al.*2014 · 687 citations*
32. **[Speaker Diarization: A Review of Recent Research ↗](https://doi.org/10.1109/tasl.2011.2125954) IEEE Transactions on Audio Speech and Language Processing · no summary yet**Xavier Anguera et al.*2010 · 686 citations*
33. **[Pointer Networks ↗](https://arxiv.org/abs/1506.03134) arXiv:1506.03134 · no summary yet**Oriol Vinyals, Meire Fortunato, Navdeep Jaitly*2015 · 684 citations*
34. **[StarCraft II: A New Challenge for Reinforcement Learning ↗](https://arxiv.org/abs/1708.04782) arXiv (Cornell University) · no summary yet**Oriol Vinyals et al.*2017 · 680 citations*
35. **[Speaker Diarization: A Review of Recent Research ↗](https://doi.org/10.1109/tasl.2011.2125954) IEEE Transactions on Audio Speech and Language Processing · no summary yet**Xavier Anguera et al.*2011 · 670 citations*
36. **[Prediction Errors of Molecular Machine Learning Models Lower than Hybrid DFT Error ↗](https://doi.org/10.1021/acs.jctc.7b00577) Journal of Chemical Theory and Computation · no summary yet**Felix A. Faber et al.*2017 · 646 citations*
37. **[Universal Transformers ↗](https://arxiv.org/abs/1807.03819) arXiv:1807.03819 · no summary yet**Mostafa Dehghani et al.*2018 · 637 citations*
38. **[Neural scene representation and rendering ↗](https://doi.org/10.1126/science.aar6170) Science · no summary yet**S. M. Ali Eslami et al.*2018 · 518 citations*
39. **[Learning the speech front-end with raw waveform CLDNNs ↗](https://doi.org/10.21437/interspeech.2015-1) Interspeech (USB) · no summary yet**Tara N. Sainath et al.*2015 · 442 citations*
40. **[Learning Deep Generative Models of Graphs ↗](https://arxiv.org/abs/1803.03324) arXiv (Cornell University) · no summary yet**Yujia Li et al.*2018 · 422 citations*
41. **[Parallel WaveNet: Fast High-Fidelity Speech Synthesis ↗](https://arxiv.org/abs/1711.10433) arXiv (Cornell University) · no summary yet**Aäron van den Oord et al.*2017 · 403 citations*
42. **[Applying and improving AlphaFold at CASP14 ↗](https://doi.org/10.1002/prot.26257) Proteins Structure Function and Bioinformatics · no summary yet**John Jumper et al.*2021 · 395 citations*
43. **[Listen, Attend and Spell ↗](https://arxiv.org/abs/1508.01211) arXiv (Cornell University) · no summary yet**William Chan et al.*2015 · 365 citations*
44. **[Recurrent neural networks for noise reduction in robust ASR ↗](https://doi.org/10.21437/interspeech.2012-6) Interspeech (USB) · no summary yet**Andrew L. Maas et al.*2012 · 340 citations*
45. **[Sentence Compression by Deletion with LSTMs](https://md.research.elamur.ai/free/en/papers/filippova-2015-sentence-compression-deletion-lstms/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Katja Filippova, Enrique Alfonseca, Carlos A. Colmenares, et al.*2015 · 338 citations*
46. **[Qualitatively characterizing neural network optimization problems ↗](https://arxiv.org/abs/1412.6544) arXiv (Cornell University) · no summary yet**Ian Goodfellow, Oriol Vinyals, Andrew Saxe*2014 · 332 citations*
47. [**Multi-task Sequence to Sequence Learning arXiv:1511.06114**Minh-Thang Luong, Quoc V. Le, Ilya Sutskever, et al.*2015 · 321 citations*](https://md.research.elamur.ai/free/en/papers/luong-2015-multi-task-sequence-sequence-learning/)
48. **[Population Based Training of Neural Networks ↗](https://arxiv.org/abs/1711.09846) arXiv (Cornell University) · no summary yet**Max Jaderberg et al.*2017 · 310 citations*
49. **[Graph Matching Networks for Learning the Similarity of Graph Structured Objects ↗](https://arxiv.org/abs/1904.12787) arXiv (Cornell University) · no summary yet**Yujia Li et al.*2019 · 298 citations*
50. **[Hierarchical Representations for Efficient Architecture Search ↗](https://arxiv.org/abs/1711.00436) arXiv (Cornell University) · no summary yet**Liu, Hanxiao et al.*2017 · 298 citations*
51. **[Perceiver IO: A General Architecture for Structured Inputs & Outputs ↗](https://arxiv.org/abs/2107.14795) arXiv (Cornell University) · no summary yet**Andrew Jaegle et al.*2021 · 283 citations*
52. **[Multilingual Language Processing From Bytes](https://md.research.elamur.ai/free/en/papers/gillick-2016-multilingual-language-processing-bytes/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Dan Gillick, Cliff Brunk, Oriol Vinyals, et al.*2016 · 280 citations*
53. [**Perceiver: General Perception with Iterative Attention arXiv:2103.03206**Andrew Jaegle, Felix Gimeno, Andrew Brock, et al.*2021 · 269 citations*](https://md.research.elamur.ai/free/en/papers/jaegle-2021-perceiver-general-perception-iterative-attention/)
54. [**Multimodal Few-Shot Learning with Frozen Language Models arXiv:2106.13884**Maria Tsimpoukelli, Jacob Menick, Serkan Cabi, et al.*2021 · 258 citations*](https://md.research.elamur.ai/free/en/papers/tsimpoukelli-2021-multimodal-few-shot-learning-frozen/)
55. **[Order Matters: Sequence to sequence for sets ↗](https://arxiv.org/abs/1511.06391) arXiv:1511.06391 · no summary yet**Oriol Vinyals, Samy Bengio, Manjunath Kudlur*2015 · 245 citations*
56. **[A Study on Overfitting in Deep Reinforcement Learning ↗](https://arxiv.org/abs/1804.06893) arXiv (Cornell University) · no summary yet**Chiyuan Zhang et al.*2018 · 242 citations*
57. **[Imagination-Augmented Agents for Deep Reinforcement Learning ↗](https://arxiv.org/abs/1707.06203) arXiv (Cornell University) · no summary yet**Théophane Weber et al.*2017 · 241 citations*
58. **[Precise indoor localization using smart phones ↗](https://doi.org/10.1145/1873951.1874078) ACM International Conference on Multimedia (ACM MM) · no summary yet**Eladio Martin et al.*2010 · 222 citations*
59. **[Generating Diverse High-Fidelity Images with VQ-VAE-2 ↗](https://arxiv.org/abs/1906.00446) arXiv (Cornell University) · no summary yet**Ali Shervin Razavi, Aäron van den Oord, Oriol Vinyals*2019 · 214 citations*
60. **[Meta-Learning with Latent Embedding Optimization ↗](https://arxiv.org/abs/1807.05960) arXiv (Cornell University) · no summary yet**Andrei A. Rusu et al.*2018 · 213 citations*
61. **[Contextual LSTM (CLSTM) models for Large scale NLP tasks ↗](https://arxiv.org/abs/1602.06291) arXiv (Cornell University) · no summary yet**Shalini Ghosh et al.*2016 · 207 citations*
62. **[A Generalist Agent ↗](https://arxiv.org/abs/2205.06175) arXiv:2205.06175 · Transactions on Machine Learning Research, 11/2022, https://openreview.net/forum?id=1ikK0kHjvj · no summary yet**Scott Reed et al.*2022 · 190 citations*
63. **[GraphCast: Learning skillful medium-range global weather forecasting ↗](https://arxiv.org/abs/2212.12794) arXiv (Cornell University) · no summary yet**Rémi Lam et al.*2022 · 182 citations*
64. **[Capabilities of Gemini Models in Medicine ↗](https://arxiv.org/abs/2404.18416) arXiv:2404.18416 · no summary yet**Khaled Saab et al.*2024 · 170 citations*
65. **[Relational Deep Reinforcement Learning ↗](https://arxiv.org/abs/1806.01830) arXiv (Cornell University) · no summary yet**Vinícius Zambaldi et al.*2018 · 160 citations*
66. **[Message Passing Neural Networks ↗](https://doi.org/10.1007/978-3-030-40245-7_10) Lecture notes in physics · no summary yet**Justin Gilmer et al.*2020 · 153 citations*
67. **[Revisiting Recurrent Neural Networks for robust ASR ↗](https://doi.org/10.1109/icassp.2012.6288816) IEEE International Conference on Acoustics Speech and Signal Processing · no summary yet**Oriol Vinyals, Suman V. Ravuri, Daniel Povey*2012 · 150 citations*
68. **[Bayesian Recurrent Neural Networks ↗](https://arxiv.org/abs/1704.02798) arXiv (Cornell University) · no summary yet**Meire Fortunato, Charles Blundell, Oriol Vinyals*2017 · 146 citations*
69. **[Classification Accuracy Score for Conditional Generative Models ↗](https://arxiv.org/abs/1905.10887) arXiv (Cornell University) · no summary yet**Suman V. Ravuri, Oriol Vinyals*2019 · 143 citations*
70. **[Sequence discriminative distributed training of long short-term memory recurrent neural networks ↗](https://doi.org/10.21437/interspeech.2014-305) Interspeech (USB) · no summary yet**Haşim Sak et al.*2014 · 137 citations*
71. **[Synthesizing Programs for Images using Reinforced Adversarial Learning ↗](https://arxiv.org/abs/1804.01118) arXiv (Cornell University) · no summary yet**Yaroslav Ganin et al.*2018 · 136 citations*
72. **[Efficient Visual Pretraining with Contrastive Detection ↗](https://doi.org/10.1109/iccv48922.2021.00993) IEEE/CVF International Conference on Computer Vision (ICCV) · no summary yet**Olivier J. Hénaff et al.*2021 · 134 citations*
73. **[Deep reinforcement learning with relational inductive biases ↗](https://openalex.org/W2907502844) International Conference on Learning Representations · no summary yet**Vinícius Zambaldi et al.*2018 · 132 citations*
74. **[Low Bit-rate Speech Coding with VQ-VAE and a WaveNet Decoder ↗](https://doi.org/10.1109/icassp.2019.8683277) IEEE International Conference on Acoustics Speech and Signal Processing · no summary yet**Cristina Gârbacea et al.*2019 · 128 citations*
75. **[Overlapped speech detection for improved speaker diarization in multiparty meetings ↗](https://doi.org/10.1109/icassp.2008.4518619) IEEE International Conference on Acoustics Speech and Signal Processing · no summary yet**Kofi Boakye et al.*2008 · 122 citations*
76. **[Rapid Learning or Feature Reuse? Towards Understanding the Effectiveness of MAML ↗](https://arxiv.org/abs/1909.09157) arXiv:1909.09157 · no summary yet**Aniruddh Raghu et al.*2019 · 117 citations*
77. **[Unified Scaling Laws for Routed Language Models ↗](https://arxiv.org/abs/2202.01169) arXiv (Cornell University) · no summary yet**Aidan Clark et al.*2022 · 111 citations*
78. **[Sample Efficient Adaptive Text-to-Speech ↗](https://arxiv.org/abs/1809.10460) arXiv (Cornell University) · no summary yet**Yutian Chen et al.*2018 · 111 citations*
79. **[Decoupled Neural Interfaces using Synthetic Gradients ↗](https://arxiv.org/abs/1608.05343) arXiv (Cornell University) · no summary yet**Max Jaderberg et al.*2016 · 100 citations*
80. **[Neural Episodic Control ↗](https://arxiv.org/abs/1703.01988) arXiv:1703.01988 · no summary yet**Alexander Pritzel et al.*2017 · 91 citations*
81. **[Strategic Attentive Writer for Learning Macro-Actions ↗](https://arxiv.org/abs/1606.04695) arXiv (Cornell University) · no summary yet**Alexander - et al.*2016 · 89 citations*
82. **[Connecting Generative Adversarial Networks and Actor-Critic Methods ↗](https://arxiv.org/abs/1610.01945) arXiv (Cornell University) · no summary yet**David Pfau, Oriol Vinyals*2016 · 86 citations*
83. **[Adversarial Evaluation of Dialogue Models ↗](https://arxiv.org/abs/1701.08198) arXiv (Cornell University) · no summary yet**Anjuli Kannan, Oriol Vinyals*2017 · 85 citations*
84. **[Prosodic and other Long-Term Features for Speaker Diarization ↗](https://doi.org/10.1109/tasl.2009.2015089) IEEE Transactions on Audio Speech and Language Processing · no summary yet**Gerald H Friedland et al.*2009 · 80 citations*
85. **[Krylov Subspace Descent for Deep Learning ↗](https://arxiv.org/abs/1111.4259) arXiv (Cornell University) · no summary yet**Oriol Vinyals, Daniel Povey*2011 · 79 citations*
86. **[Temporal Modeling Using Dilated Convolution and Gating for Voice-Activity-Detection ↗](https://doi.org/10.1109/icassp.2018.8461921) IEEE International Conference on Acoustics Speech and Signal Processing · no summary yet**Shuo-Yiin Chang et al.*2018 · 78 citations*
87. **[Learning model-based planning from scratch ↗](https://arxiv.org/abs/1707.06170) arXiv (Cornell University) · no summary yet**Razvan Pascanu et al.*2017 · 76 citations*
88. **[Waffling around for Performance: Visual Classification with Random Words and Broad Concepts ↗](https://doi.org/10.1109/iccv51070.2023.01443) IEEE/CVF International Conference on Computer Vision (ICCV) · no summary yet**Karsten Roth et al.*2023 · 70 citations*
89. **[Machine Translation Decoding beyond Beam Search ↗](https://aclanthology.org/2021.emnlp-main.662/) Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing · no summary yet**Rémi Leblond et al.*2021 · 60 citations*
90. **[Learning with Recursive Perceptual Representations ↗](https://openalex.org/W2133282586) no summary yet**Oriol Vinyals et al.*2012 · 60 citations*
91. **[Comparing multilayer perceptron to Deep Belief Network Tandem features for robust ASR ↗](https://doi.org/10.1109/icassp.2011.5947378) IEEE International Conference on Acoustics Speech and Signal Processing · no summary yet**Oriol Vinyals, Suman V. Ravuri*2011 · 56 citations*
92. **[Solving Mixed Integer Programs Using Neural Networks ↗](https://arxiv.org/abs/2012.13349) arXiv:2012.13349 · no summary yet**Vinod Nair et al.*2020 · 52 citations*
93. **[The Benchmark Lottery ↗](https://arxiv.org/abs/2107.07002) arXiv:2107.07002 · no summary yet**Mostafa Dehghani et al.*2021 · 50 citations*
94. **[An Online Sequence-to-Sequence Model Using Partial Conditioning ↗](https://arxiv.org/abs/1511.04868) arXiv (Cornell University) · no summary yet**Navdeep Jaitly et al.*2015 · 49 citations*
95. **[General-purpose, long-context autoregressive modeling with Perceiver AR ↗](https://arxiv.org/abs/2202.07765) arXiv (Cornell University) · no summary yet**Curtis Hawthorne et al.*2022 · 48 citations*
96. **[Video Pixel Networks ↗](https://arxiv.org/abs/1610.00527) arXiv (Cornell University) · no summary yet**Nal Kalchbrenner et al.*2016 · 48 citations*
97. **[Non-isotropy Regularization for Proxy-based Deep Metric Learning ↗](https://doi.org/10.1109/cvpr52688.2022.00727) 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**Karsten Roth, Oriol Vinyals, Zeynep Akata*2022 · 46 citations*
98. **[Metacontrol for Adaptive Imagination-Based Optimization ↗](https://arxiv.org/abs/1705.02670) arXiv (Cornell University) · no summary yet**Jessica B. Hamrick et al.*2017 · 46 citations*
99. **[Multimodal location estimation ↗](https://doi.org/10.1145/1873951.1874197) ACM International Conference on Multimedia (ACM MM) · no summary yet**Gerald H Friedland, Oriol Vinyals, Trevor Jackson Darrell*2010 · 46 citations*
100. **[The ICSI RT-09 Speaker Diarization System ↗](https://doi.org/10.1109/tasl.2011.2158419) IEEE Transactions on Audio Speech and Language Processing · no summary yet**Gerald H Friedland et al.*2011 · 44 citations*

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