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2020 – today
- 2024
[c60]Izzeddin Gur, Hiroki Furuta, Austin V. Huang, Mustafa Safdari, Yutaka Matsuo, Douglas Eck, Aleksandra Faust:
A Real-World WebAgent with Planning, Long Context Understanding, and Program Synthesis. ICLR 2024- 2023
- [j9]Aakanksha Chowdhery, Sharan Narang, Jacob Devlin, Maarten Bosma, Gaurav Mishra, Adam Roberts, Paul Barham, Hyung Won Chung, Charles Sutton, Sebastian Gehrmann, Parker Schuh, Kensen Shi, Sasha Tsvyashchenko, Joshua Maynez, Abhishek Rao, Parker Barnes, Yi Tay, Noam Shazeer, Vinodkumar Prabhakaran, Emily Reif, Nan Du, Ben Hutchinson, Reiner Pope, James Bradbury, Jacob Austin, Michael Isard, Guy Gur-Ari, Pengcheng Yin, Toju Duke, Anselm Levskaya, Sanjay Ghemawat, Sunipa Dev, Henryk Michalewski, Xavier Garcia, Vedant Misra, Kevin Robinson, Liam Fedus, Denny Zhou, Daphne Ippolito, David Luan, Hyeontaek Lim, Barret Zoph, Alexander Spiridonov, Ryan Sepassi, David Dohan, Shivani Agrawal, Mark Omernick, Andrew M. Dai, Thanumalayan Sankaranarayana Pillai, Marie Pellat, Aitor Lewkowycz, Erica Moreira, Rewon Child, Oleksandr Polozov, Katherine Lee, Zongwei Zhou, Xuezhi Wang, Brennan Saeta, Mark Diaz, Orhan Firat, Michele Catasta, Jason Wei, Kathy Meier-Hellstern, Douglas Eck, Jeff Dean, Slav Petrov, Noah Fiedel:
PaLM: Scaling Language Modeling with Pathways. J. Mach. Learn. Res. 24: 240:1-240:113 (2023) - [i23]Izzeddin Gur, Hiroki Furuta, Austin V. Huang, Mustafa Safdari, Yutaka Matsuo, Douglas Eck, Aleksandra Faust
:
A Real-World WebAgent with Planning, Long Context Understanding, and Program Synthesis. CoRR abs/2307.12856 (2023) - 2022
- [c59]Katherine Lee, Daphne Ippolito, Andrew Nystrom, Chiyuan Zhang, Douglas Eck, Chris Callison-Burch, Nicholas Carlini:
Deduplicating Training Data Makes Language Models Better. ACL (1) 2022: 8424-8445 - [i22]Aakanksha Chowdhery, Sharan Narang, Jacob Devlin, Maarten Bosma, Gaurav Mishra, Adam Roberts, Paul Barham, Hyung Won Chung, Charles Sutton, Sebastian Gehrmann, Parker Schuh, Kensen Shi, Sasha Tsvyashchenko, Joshua Maynez, Abhishek Rao, Parker Barnes, Yi Tay, Noam Shazeer, Vinodkumar Prabhakaran, Emily Reif, Nan Du, Ben Hutchinson, Reiner Pope, James Bradbury, Jacob Austin, Michael Isard, Guy Gur-Ari, Pengcheng Yin, Toju Duke, Anselm Levskaya, Sanjay Ghemawat, Sunipa Dev, Henryk Michalewski, Xavier Garcia, Vedant Misra, Kevin Robinson, Liam Fedus, Denny Zhou, Daphne Ippolito, David Luan, Hyeontaek Lim, Barret Zoph, Alexander Spiridonov, Ryan Sepassi, David Dohan, Shivani Agrawal, Mark Omernick, Andrew M. Dai, Thanumalayan Sankaranarayana Pillai, Marie Pellat, Aitor Lewkowycz, Erica Moreira, Rewon Child, Oleksandr Polozov, Katherine Lee, Zongwei Zhou, Xuezhi Wang, Brennan Saeta, Mark Diaz, Orhan Firat, Michele Catasta, Jason Wei, Kathy Meier-Hellstern, Douglas Eck, Jeff Dean, Slav Petrov, Noah Fiedel:
PaLM: Scaling Language Modeling with Pathways. CoRR abs/2204.02311 (2022) - 2021
- [c58]Kamal Ndousse, Douglas Eck, Sergey Levine, Natasha Jaques:
Emergent Social Learning via Multi-agent Reinforcement Learning. ICML 2021: 7991-8004 - [i21]Dennis Lee, Natasha Jaques, J. Chase Kew, Douglas Eck, Dale Schuurmans, Aleksandra Faust:
Joint Attention for Multi-Agent Coordination and Social Learning. CoRR abs/2104.07750 (2021) - [i20]Katherine Lee, Daphne Ippolito, Andrew Nystrom, Chiyuan Zhang, Douglas Eck, Chris Callison-Burch, Nicholas Carlini:
Deduplicating Training Data Makes Language Models Better. CoRR abs/2107.06499 (2021) - 2020
- [j8]Sageev Oore, Ian Simon, Sander Dieleman, Douglas Eck, Karen Simonyan:
This time with feeling: learning expressive musical performance. Neural Comput. Appl. 32(4): 955-967 (2020) - [c57]Daphne Ippolito, Daniel Duckworth, Chris Callison-Burch, Douglas Eck:
Automatic Detection of Generated Text is Easiest when Humans are Fooled. ACL 2020: 1808-1822 - [c56]Daphne Ippolito, David Grangier, Douglas Eck, Chris Callison-Burch:
Toward Better Storylines with Sentence-Level Language Models. ACL 2020: 7472-7478 - [i19]Daphne Ippolito, David Grangier, Douglas Eck, Chris Callison-Burch:
Toward Better Storylines with Sentence-Level Language Models. CoRR abs/2005.05255 (2020) - [i18]Kamal Ndousse, Douglas Eck, Sergey Levine, Natasha Jaques:
Multi-agent Social Reinforcement Learning Improves Generalization. CoRR abs/2010.00581 (2020)
2010 – 2019
- 2019
- [c55]Claire Kayacik, Sherol Chen, Signe Noerly, Jess Holbrook, Adam Roberts, Douglas Eck:
Identifying the Intersections: User Experience + Research Scientist Collaboration in a Generative Machine Learning Interface. CHI Extended Abstracts 2019 - [c54]Raphael Gontijo Lopes, David Ha, Douglas Eck, Jonathon Shlens:
A Learned Representation for Scalable Vector Graphics. ICCV 2019: 7929-7938 - [c53]Curtis Hawthorne, Andriy Stasyuk, Adam Roberts, Ian Simon, Cheng-Zhi Anna Huang, Sander Dieleman, Erich Elsen, Jesse H. Engel, Douglas Eck:
Enabling Factorized Piano Music Modeling and Generation with the MAESTRO Dataset. ICLR 2019 - [c52]Cheng-Zhi Anna Huang, Ashish Vaswani, Jakob Uszkoreit, Ian Simon, Curtis Hawthorne, Noam Shazeer, Andrew M. Dai, Matthew D. Hoffman, Monica Dinculescu, Douglas Eck:
Music Transformer: Generating Music with Long-Term Structure. ICLR (Poster) 2019 - [c51]Raphael Gontijo Lopes, David Ha, Douglas Eck, Jonathon Shlens:
A Learned Representation for Scalable Vector Graphics. DGS@ICLR 2019 - [c50]Jon Gillick, Adam Roberts, Jesse H. Engel, Douglas Eck, David Bamman:
Learning to Groove with Inverse Sequence Transformations. ICML 2019: 2269-2279 - [i17]Cheng-Zhi Anna Huang, Tim Cooijmans, Adam Roberts, Aaron C. Courville, Douglas Eck:
Counterpoint by Convolution. CoRR abs/1903.07227 (2019) - [i16]Raphael Gontijo Lopes, David Ha, Douglas Eck, Jonathon Shlens:
A Learned Representation for Scalable Vector Graphics. CoRR abs/1904.02632 (2019) - [i15]Jon Gillick, Adam Roberts, Jesse H. Engel, Douglas Eck, David Bamman:
Learning to Groove with Inverse Sequence Transformations. CoRR abs/1905.06118 (2019) - [i14]Daphne Ippolito, Daniel Duckworth, Chris Callison-Burch, Douglas Eck:
Human and Automatic Detection of Generated Text. CoRR abs/1911.00650 (2019) - 2018
- [c49]David Ha, Douglas Eck:
A Neural Representation of Sketch Drawings. ICLR (Poster) 2018 - [c48]Cheng-Zhi Anna Huang, Sherol Chen, Mark J. Nelson, Douglas Eck:
Towards Mixed-initiative generation of multi-channel sequential structure. ICLR (Workshop) 2018 - [c47]Natasha Jaques, Jesse H. Engel, David Ha, Fred Bertsch, Rosalind W. Picard, Douglas Eck:
Learning via social awareness: improving sketch representations with facial feedback. ICLR (Workshop) 2018 - [c46]Adam Roberts, Jesse H. Engel, Colin Raffel, Curtis Hawthorne, Douglas Eck:
A Hierarchical Latent Vector Model for Learning Long-Term Structure in Music. ICML 2018: 4361-4370 - [c45]Natasha Jaques, Jennifer McCleary, Jesse H. Engel, David Ha, Fred Bertsch, Douglas Eck, Rosalind W. Picard:
Learning via Social Awareness: Improving a Deep Generative Sketching Model with Facial Feedback. AffComp@IJCAI 2018: 1-9 - [c44]Curtis Hawthorne, Erich Elsen, Jialin Song, Adam Roberts, Ian Simon, Colin Raffel, Jesse H. Engel, Sageev Oore, Douglas Eck:
Onsets and Frames: Dual-Objective Piano Transcription. ISMIR 2018: 50-57 - [c43]Adam Roberts, Jesse H. Engel, Sageev Oore, Douglas Eck:
Learning Latent Representations of Music to Generate Interactive Musical Palettes. IUI Workshops 2018 - [i13]Natasha Jaques, Jesse H. Engel, David Ha, Fred Bertsch, Rosalind W. Picard, Douglas Eck:
Learning via social awareness: improving sketch representations with facial feedback. CoRR abs/1802.04877 (2018) - [i12]Adam Roberts, Jesse H. Engel, Colin Raffel, Curtis Hawthorne, Douglas Eck:
A Hierarchical Latent Vector Model for Learning Long-Term Structure in Music. CoRR abs/1803.05428 (2018) - [i11]Ian Simon, Adam Roberts, Colin Raffel, Jesse H. Engel, Curtis Hawthorne, Douglas Eck:
Learning a Latent Space of Multitrack Measures. CoRR abs/1806.00195 (2018) - [i10]Sageev Oore, Ian Simon, Sander Dieleman, Douglas Eck, Karen Simonyan:
This Time with Feeling: Learning Expressive Musical Performance. CoRR abs/1808.03715 (2018) - [i9]Cheng-Zhi Anna Huang, Ashish Vaswani, Jakob Uszkoreit, Noam Shazeer, Curtis Hawthorne, Andrew M. Dai, Matthew D. Hoffman, Douglas Eck:
An Improved Relative Self-Attention Mechanism for Transformer with Application to Music Generation. CoRR abs/1809.04281 (2018) - [i8]Curtis Hawthorne, Andriy Stasyuk, Adam Roberts, Ian Simon, Cheng-Zhi Anna Huang, Sander Dieleman, Erich Elsen, Jesse H. Engel, Douglas Eck:
Enabling Factorized Piano Music Modeling and Generation with the MAESTRO Dataset. CoRR abs/1810.12247 (2018) - 2017
- [c42]Mason Bretan, Sageev Oore, Jesse H. Engel, Douglas Eck, Larry P. Heck:
Deep Music: Towards Musical Dialogue. AAAI 2017: 5081-5082 - [c41]Natasha Jaques, Shixiang Gu, Richard E. Turner, Douglas Eck:
Tuning Recurrent Neural Networks with Reinforcement Learning. ICLR (Workshop) 2017 - [c40]Jesse H. Engel, Cinjon Resnick, Adam Roberts, Sander Dieleman, Mohammad Norouzi, Douglas Eck, Karen Simonyan:
Neural Audio Synthesis of Musical Notes with WaveNet Autoencoders. ICML 2017: 1068-1077 - [c39]Natasha Jaques, Shixiang Gu, Dzmitry Bahdanau, José Miguel Hernández-Lobato, Richard E. Turner, Douglas Eck:
Sequence Tutor: Conservative Fine-Tuning of Sequence Generation Models with KL-control. ICML 2017: 1645-1654 - [c38]Colin Raffel, Minh-Thang Luong, Peter J. Liu, Ron J. Weiss, Douglas Eck:
Online and Linear-Time Attention by Enforcing Monotonic Alignments. ICML 2017: 2837-2846 - [c37]Cheng-Zhi Anna Huang, Tim Cooijmans, Adam Roberts, Aaron C. Courville, Douglas Eck:
Counterpoint by Convolution. ISMIR 2017: 211-218 - [i7]Colin Raffel, Minh-Thang Luong, Peter J. Liu, Ron J. Weiss, Douglas Eck:
Online and Linear-Time Attention by Enforcing Monotonic Alignments. CoRR abs/1704.00784 (2017) - [i6]Jesse H. Engel, Cinjon Resnick, Adam Roberts, Sander Dieleman, Douglas Eck, Karen Simonyan, Mohammad Norouzi:
Neural Audio Synthesis of Musical Notes with WaveNet Autoencoders. CoRR abs/1704.01279 (2017) - [i5]David Ha, Douglas Eck:
A Neural Representation of Sketch Drawings. CoRR abs/1704.03477 (2017) - [i4]Mason Bretan, Sageev Oore, Douglas Eck, Larry P. Heck:
Learning and Evaluating Musical Features with Deep Autoencoders. CoRR abs/1706.04486 (2017) - [i3]Andrew Kyle Lampinen, David So, Douglas Eck, Fred Bertsch:
Improving image generative models with human interactions. CoRR abs/1709.10459 (2017) - [i2]Curtis Hawthorne, Erich Elsen, Jialin Song, Adam Roberts, Ian Simon, Colin Raffel, Jesse H. Engel, Sageev Oore, Douglas Eck:
Onsets and Frames: Dual-Objective Piano Transcription. CoRR abs/1710.11153 (2017) - 2016
- [i1]Natasha Jaques, Shixiang Gu, Richard E. Turner, Douglas Eck:
Tuning Recurrent Neural Networks with Reinforcement Learning. CoRR abs/1611.02796 (2016) - 2012
- [c36]Philippe Hamel, Yoshua Bengio, Douglas Eck:
Building Musically-relevant Audio Features through Multiple Timescale Representations. ISMIR 2012: 553-558 - [c35]Douglas Eck:
Machine Learning Methods for Music Discovery and Recommendation. ECML/PKDD (1) 2012: 4 - 2011
- [j7]Michael I. Mandel, Razvan Pascanu, Douglas Eck, Yoshua Bengio, Luca Maria Aiello, Rossano Schifanella, Filippo Menczer:
Contextual tag inference. ACM Trans. Multim. Comput. Commun. Appl. 7(Supplement): 32 (2011) - [c34]Philippe Hamel, Simon Lemieux, Yoshua Bengio, Douglas Eck:
Temporal Pooling and Multiscale Learning for Automatic Annotation and Ranking of Music Audio. ISMIR 2011: 729-734 - [c33]Cynthia C. S. Liem, Meinard Müller, Douglas Eck, George Tzanetakis, Alan Hanjalic:
The need for music information retrieval with user-centered and multimodal strategies. MIRUM 2011: 1-6 - [c32]Cynthia C. S. Liem, Meinard Müller, Douglas Eck, George Tzanetakis:
1st international ACM workshop on music information retrieval with user-centered and multimodal strategies (MIRUM). ACM Multimedia 2011: 603-604 - [e1]Cynthia C. S. Liem, Meinard Müller, Douglas Eck, George Tzanetakis:
Proceedings of the 1st international ACM workshop on Music information retrieval with user-centered and multimodal strategies, Scottsdale, AZ, USA, November 28 - December 01, 2011. ACM 2011, ISBN 978-1-4503-0986-8 [contents] - 2010
- [c31]Philippe Hamel, Douglas Eck:
Learning Features from Music Audio with Deep Belief Networks. ISMIR 2010: 339-344 - [c30]Michael I. Mandel, Douglas Eck, Yoshua Bengio:
Learning Tags that Vary Within a Song. ISMIR 2010: 399-404 - [c29]James Bergstra, Michael I. Mandel, Douglas Eck:
Scalable Genre and Tag Prediction with Spectral Covariance. ISMIR 2010: 507-512
2000 – 2009
- 2009
- [j6]Jean-François Paiement, Samy Bengio, Douglas Eck:
Probabilistic models for melodic prediction. Artif. Intell. 173(14): 1266-1274 (2009) - [c28]Douglas Eck, Dan Ellis, Philippe Hamel:
Workshop summary: Sparse methods for music audio. ICML 2009: 11 - [c27]François Maillet, Douglas Eck, Guillaume Desjardins, Paul Lamere:
Steerable Playlist Generation by Learning Song Similarity from Radio Station Playlists. ISMIR 2009: 345-350 - [c26]Philippe Hamel, Sean Wood, Douglas Eck:
Automatic Identification of Instrument Classes in Polyphonic and Poly-Instrument Audio. ISMIR 2009: 399-404 - [c25]Aaron C. Courville, Douglas Eck, Yoshua Bengio:
An Infinite Factor Model Hierarchy Via a Noisy-Or Mechanism. NIPS 2009: 405-413 - [c24]Matthew E. P. Davies, Mark D. Plumbley, Douglas Eck:
Towards a musical beat emphasis function. WASPAA 2009: 61-64 - 2008
- [c23]Jean-François Paiement, Yves Grandvalet, Samy Bengio, Douglas Eck:
A distance model for rhythms. ICML 2008: 736-743 - [c22]Pierre-Antoine Manzagol, Thierry Bertin-Mahieux, Douglas Eck:
On the Use of Sparce Time Relative Auditory Codes for Music. ISMIR 2008: 603-608 - 2007
- [j5]Alexandre Lacoste, Douglas Eck:
A Supervised Classification Algorithm for Note Onset Detection. EURASIP J. Adv. Signal Process. 2007 (2007) - [c21]Douglas Eck:
Beat Tracking using an Autocorrelation Phase Matrix. ICASSP (4) 2007: 1313-1316 - [c20]Paul Lamere, Douglas Eck:
Using 3D Visualizations to Explore and Discover Music. ISMIR 2007: 173-174 - [c19]Douglas Eck, Thierry Bertin-Mahieux, Paul Lamere:
Autotagging Music Using Supervised Machine Learning. ISMIR 2007: 367-368 - [c18]Douglas Eck, Paul Lamere, Thierry Bertin-Mahieux, Stephen J. Green:
Automatic Generation of Social Tags for Music Recommendation. NIPS 2007: 385-392 - 2006
- [j4]James Bergstra, Norman Casagrande, Dumitru Erhan, Douglas Eck, Balázs Kégl:
Aggregate features and ADABOOSTfor music classification. Mach. Learn. 65(2-3): 473-484 (2006) - [c17]Jean-François Paiement, Douglas Eck, Samy Bengio:
Probabilistic Melodic Harmonization. Canadian AI 2006: 218-229 - [c16]James Bergstra, Alexandre Lacoste, Douglas Eck:
Predicting genre labels for artist using FreeDB. ISMIR 2006: 85-88 - [c15]Herbert Jaeger, Douglas Eck:
Can't Get You Out of My Head: A Connectionist Model of Cyclic Rehearsal. ZiF Workshop 2006: 310-335 - 2005
- [c14]Norman Casagrande, Douglas Eck, Balázs Kégl:
Geometry in sound: a speech/Music audio Classifier Inspired by an Image Classifier. ICMC 2005 - [c13]Jean-François Paiement, Douglas Eck, Samy Bengio, David Barber:
A graphical model for chord progressions embedded in a psychoacoustic space. ICML 2005: 641-648 - [c12]Jean-François Paiement, Douglas Eck, Samy Bengio:
A Probabilistic Model for Chord Progressions. ISMIR 2005: 312-319 - [c11]Norman Casagrande, Douglas Eck, Balázs Kégl:
Frame-Level Audio Feature Extraction Using AdaBoost. ISMIR 2005: 345-350 - [c10]Douglas Eck, Norman Casagrande:
Finding Meter in Music Using An Autocorrelation Phase Matrix and Shannon Entropy. ISMIR 2005: 504-509 - 2004
- [c9]Alex Graves, Douglas Eck, Nicole Beringer, Jürgen Schmidhuber:
Biologically Plausible Speech Recognition with LSTM Neural Nets. BioADIT 2004: 127-136 - 2003
- [j3]Juan Antonio Pérez-Ortiz, Felix A. Gers, Douglas Eck, Jürgen Schmidhuber:
Kalman filters improve LSTM network performance in problems unsolvable by traditional recurrent nets. Neural Networks 16(2): 241-250 (2003) - 2002
- [j2]Jürgen Schmidhuber, Felix A. Gers, Douglas Eck:
Learning Nonregular Languages: A Comparison of Simple Recurrent Networks and LSTM. Neural Comput. 14(9): 2039-2041 (2002) - [c8]Felix A. Gers, Juan Antonio Pérez-Ortiz, Douglas Eck, Jürgen Schmidhuber:
DEKF-LSTM. ESANN 2002: 369-376 - [c7]Douglas Eck, Jürgen Schmidhuber:
Learning the Long-Term Structure of the Blues. ICANN 2002: 284-289 - [c6]Felix A. Gers, Juan Antonio Pérez-Ortiz, Douglas Eck, Jürgen Schmidhuber:
Learning Context Sensitive Languages with LSTM Trained with Kalman Filters. ICANN 2002: 655-660 - [c5]Juan Antonio Pérez-Ortiz, Jürgen Schmidhuber, Felix A. Gers, Douglas Eck:
Improving Long-Term Online Prediction with Decoupled Extended Kalman Filters. ICANN 2002: 1055-1069 - [c4]Douglas Eck, Jürgen Schmidhuber:
Finding temporal structure in music: blues improvisation with LSTM recurrent networks. NNSP 2002: 747-756 - 2001
- [c3]Felix A. Gers, Douglas Eck, Jürgen Schmidhuber:
Applying LSTM to Time Series Predictable through Time-Window Approaches. ICANN 2001: 669-676 - [c2]Douglas Eck:
A Network of Relaxation Oscillators that Finds Downbeats in Rhythms. ICANN 2001: 1239-1247 - [c1]Felix A. Gers, Douglas Eck, Jürgen Schmidhuber:
Applying LSTM to Time Series Predictable Through Time-Window Approaches. WIRN 2001: 193-200
1990 – 1999
- 1999
- [j1]Michael Gasser, Douglas Eck, Robert F. Port:
Meter as Mechanism: A Neural Network Model that Learns Metrical Patterns. Connect. Sci. 11(2): 187-216 (1999)
Coauthor Index
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