Douglas Eck

94 papers A* 15B 1C 5Journal 33Unranked 39
YearRankTypeTitle / Venue / Authors
2025 J jnl
Live Music Models.
CoRR
Antoine Caillon, Brian McWilliams, Cassie Tarakajian, Ian Simon, Ilaria Manco, Jesse H. Engel, Noah Constant, Yunpeng Li, Timo I. Denk, Alberto Lalama, Andrea Agostinelli, Cheng-Zhi Anna Huang, Ethan Manilow, George Brower, Hakan Erdogan, Heidi Lei, Itai Rolnick, Ivan Grishchenko, Manu Orsini, Matej Kastelic, Mauricio Zuluaga, Mauro Verzetti, Michael Dooley, Ondrej Skopek, Rafael Ferrer, Zalán Borsos, Aäron van den Oord, Douglas Eck, Eli Collins, Jason Baldridge, Tom Hume, Chris Donahue, Kehang Han, Adam Roberts
2024 A* conf
A Real-World WebAgent with Planning, Long Context Understanding, and Program Synthesis.
ICLR
Izzeddin Gur, Hiroki Furuta, Austin V. Huang, Mustafa Safdari, Yutaka Matsuo, Douglas Eck, Aleksandra Faust
2023 J jnl
A Real-World WebAgent with Planning, Long Context Understanding, and Program Synthesis.
CoRR
Izzeddin Gur, Hiroki Furuta, Austin V. Huang, Mustafa Safdari, Yutaka Matsuo, Douglas Eck, Aleksandra Faust
2023 J jnl
PaLM: Scaling Language Modeling with Pathways.
J. Mach. Learn. Res.
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
2022 — conf
Deduplicating Training Data Makes Language Models Better.
ACL (1)
Katherine Lee, Daphne Ippolito, Andrew Nystrom, Chiyuan Zhang, Douglas Eck, Chris Callison-Burch, Nicholas Carlini
2022 J jnl
PaLM: Scaling Language Modeling with Pathways.
CoRR
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
2021 J jnl
Deduplicating Training Data Makes Language Models Better.
CoRR
Katherine Lee, Daphne Ippolito, Andrew Nystrom, Chiyuan Zhang, Douglas Eck, Chris Callison-Burch, Nicholas Carlini
2021 A* conf
Emergent Social Learning via Multi-agent Reinforcement Learning.
ICML
Kamal Ndousse, Douglas Eck, Sergey Levine, Natasha Jaques
2021 J jnl
Joint Attention for Multi-Agent Coordination and Social Learning.
CoRR
Dennis Lee, Natasha Jaques, J. Chase Kew, Douglas Eck, Dale Schuurmans, Aleksandra Faust
2020 A* conf
Automatic Detection of Generated Text is Easiest when Humans are Fooled.
ACL
Daphne Ippolito, Daniel Duckworth, Chris Callison-Burch, Douglas Eck
2020 J jnl
Multi-agent Social Reinforcement Learning Improves Generalization.
CoRR
Kamal Ndousse, Douglas Eck, Sergey Levine, Natasha Jaques
2020 J jnl
This time with feeling: learning expressive musical performance.
Neural Comput. Appl.
Sageev Oore, Ian Simon, Sander Dieleman, Douglas Eck, Karen Simonyan
2020 A* conf
Toward Better Storylines with Sentence-Level Language Models.
ACL
Daphne Ippolito, David Grangier, Douglas Eck, Chris Callison-Burch
2020 J jnl
Toward Better Storylines with Sentence-Level Language Models.
CoRR
Daphne Ippolito, David Grangier, Douglas Eck, Chris Callison-Burch
2019 A* conf
A Learned Representation for Scalable Vector Graphics.
ICCV
Raphael Gontijo Lopes, David Ha, Douglas Eck, Jonathon Shlens
2019 — conf
A Learned Representation for Scalable Vector Graphics.
DGS@ICLR
Raphael Gontijo Lopes, David Ha, Douglas Eck, Jonathon Shlens
2019 J jnl
A Learned Representation for Scalable Vector Graphics.
CoRR
Raphael Gontijo Lopes, David Ha, Douglas Eck, Jonathon Shlens
2019 J jnl
Counterpoint by Convolution.
CoRR
Cheng-Zhi Anna Huang, Tim Cooijmans, Adam Roberts, Aaron C. Courville, Douglas Eck
2019 — conf
Enabling Factorized Piano Music Modeling and Generation with the MAESTRO Dataset.
ICLR
Curtis Hawthorne, Andriy Stasyuk, Adam Roberts, Ian Simon, Cheng-Zhi Anna Huang, Sander Dieleman, Erich Elsen, Jesse H. Engel, Douglas Eck
2019 J jnl
Human and Automatic Detection of Generated Text.
CoRR
Daphne Ippolito, Daniel Duckworth, Chris Callison-Burch, Douglas Eck
2019 — conf
Identifying the Intersections: User Experience + Research Scientist Collaboration in a Generative Machine Learning Interface.
CHI Extended Abstracts
Claire Kayacik, Sherol Chen, Signe Noerly, Jess Holbrook, Adam Roberts, Douglas Eck
2019 A* conf
Learning to Groove with Inverse Sequence Transformations.
ICML
Jon Gillick, Adam Roberts, Jesse H. Engel, Douglas Eck, David Bamman
2019 J jnl
Learning to Groove with Inverse Sequence Transformations.
CoRR
Jon Gillick, Adam Roberts, Jesse H. Engel, Douglas Eck, David Bamman
2019 — conf
Music Transformer: Generating Music with Long-Term Structure.
ICLR (Poster)
Cheng-Zhi Anna Huang, Ashish Vaswani, Jakob Uszkoreit, Ian Simon, Curtis Hawthorne, Noam Shazeer, Andrew M. Dai, Matthew D. Hoffman, Monica Dinculescu, Douglas Eck
2018 A* conf
A Hierarchical Latent Vector Model for Learning Long-Term Structure in Music.
ICML
Adam Roberts, Jesse H. Engel, Colin Raffel, Curtis Hawthorne, Douglas Eck
2018 J jnl
A Hierarchical Latent Vector Model for Learning Long-Term Structure in Music.
CoRR
Adam Roberts, Jesse H. Engel, Colin Raffel, Curtis Hawthorne, Douglas Eck
2018 — conf
A Neural Representation of Sketch Drawings.
ICLR (Poster)
David Ha, Douglas Eck
2018 J jnl
An Improved Relative Self-Attention Mechanism for Transformer with Application to Music Generation.
CoRR
Cheng-Zhi Anna Huang, Ashish Vaswani, Jakob Uszkoreit, Noam Shazeer, Curtis Hawthorne, Andrew M. Dai, Matthew D. Hoffman, Douglas Eck
2018 J jnl
Enabling Factorized Piano Music Modeling and Generation with the MAESTRO Dataset.
CoRR
Curtis Hawthorne, Andriy Stasyuk, Adam Roberts, Ian Simon, Cheng-Zhi Anna Huang, Sander Dieleman, Erich Elsen, Jesse H. Engel, Douglas Eck
2018 — conf
Learning Latent Representations of Music to Generate Interactive Musical Palettes.
IUI Workshops
Adam Roberts, Jesse H. Engel, Sageev Oore, Douglas Eck
2018 J jnl
Learning a Latent Space of Multitrack Measures.
CoRR
Ian Simon, Adam Roberts, Colin Raffel, Jesse H. Engel, Curtis Hawthorne, Douglas Eck
2018 — conf
Learning via Social Awareness: Improving a Deep Generative Sketching Model with Facial Feedback.
AffComp@IJCAI
Natasha Jaques, Jennifer McCleary, Jesse H. Engel, David Ha, Fred Bertsch, Douglas Eck, Rosalind W. Picard
2018 — conf
Learning via social awareness: improving sketch representations with facial feedback.
ICLR (Workshop)
Natasha Jaques, Jesse H. Engel, David Ha, Fred Bertsch, Rosalind W. Picard, Douglas Eck
2018 J jnl
Learning via social awareness: improving sketch representations with facial feedback.
CoRR
Natasha Jaques, Jesse H. Engel, David Ha, Fred Bertsch, Rosalind W. Picard, Douglas Eck
2018 — conf
Onsets and Frames: Dual-Objective Piano Transcription.
ISMIR
Curtis Hawthorne, Erich Elsen, Jialin Song, Adam Roberts, Ian Simon, Colin Raffel, Jesse H. Engel, Sageev Oore, Douglas Eck
2018 J jnl
This Time with Feeling: Learning Expressive Musical Performance.
CoRR
Sageev Oore, Ian Simon, Sander Dieleman, Douglas Eck, Karen Simonyan
2018 — conf
Towards Mixed-initiative generation of multi-channel sequential structure.
ICLR (Workshop)
Cheng-Zhi Anna Huang, Sherol Chen, Mark J. Nelson, Douglas Eck
2017 J jnl
A Neural Representation of Sketch Drawings.
CoRR
David Ha, Douglas Eck
2017 — conf
Counterpoint by Convolution.
ISMIR
Cheng-Zhi Anna Huang, Tim Cooijmans, Adam Roberts, Aaron C. Courville, Douglas Eck
2017 A* conf
Deep Music: Towards Musical Dialogue.
AAAI
Mason Bretan, Sageev Oore, Jesse H. Engel, Douglas Eck, Larry P. Heck
2017 J jnl
Improving image generative models with human interactions.
CoRR
Andrew Kyle Lampinen, David So, Douglas Eck, Fred Bertsch
2017 J jnl
Learning and Evaluating Musical Features with Deep Autoencoders.
CoRR
Mason Bretan, Sageev Oore, Douglas Eck, Larry P. Heck
2017 A* conf
Neural Audio Synthesis of Musical Notes with WaveNet Autoencoders.
ICML
Jesse H. Engel, Cinjon Resnick, Adam Roberts, Sander Dieleman, Mohammad Norouzi, Douglas Eck, Karen Simonyan
2017 J jnl
Neural Audio Synthesis of Musical Notes with WaveNet Autoencoders.
CoRR
Jesse H. Engel, Cinjon Resnick, Adam Roberts, Sander Dieleman, Douglas Eck, Karen Simonyan, Mohammad Norouzi
2017 A* conf
Online and Linear-Time Attention by Enforcing Monotonic Alignments.
ICML
Colin Raffel, Minh-Thang Luong, Peter J. Liu, Ron J. Weiss, Douglas Eck
2017 J jnl
Online and Linear-Time Attention by Enforcing Monotonic Alignments.
CoRR
Colin Raffel, Minh-Thang Luong, Peter J. Liu, Ron J. Weiss, Douglas Eck
2017 J jnl
Onsets and Frames: Dual-Objective Piano Transcription.
CoRR
Curtis Hawthorne, Erich Elsen, Jialin Song, Adam Roberts, Ian Simon, Colin Raffel, Jesse H. Engel, Sageev Oore, Douglas Eck
2017 A* conf
Sequence Tutor: Conservative Fine-Tuning of Sequence Generation Models with KL-control.
ICML
Natasha Jaques, Shixiang Gu, Dzmitry Bahdanau, José Miguel Hernández-Lobato, Richard E. Turner, Douglas Eck
2017 — conf
Tuning Recurrent Neural Networks with Reinforcement Learning.
ICLR (Workshop)
Natasha Jaques, Shixiang Gu, Richard E. Turner, Douglas Eck
2016 J jnl
Tuning Recurrent Neural Networks with Reinforcement Learning.
CoRR
Natasha Jaques, Shixiang Gu, Richard E. Turner, Douglas Eck
2012 — conf
Building Musically-relevant Audio Features through Multiple Timescale Representations.
ISMIR
Philippe Hamel, Yoshua Bengio, Douglas Eck
2012 — conf
Machine Learning Methods for Music Discovery and Recommendation.
ECML/PKDD (1)
Douglas Eck
2011 A* conf
1st international ACM workshop on music information retrieval with user-centered and multimodal strategies (MIRUM).
ACM Multimedia
Cynthia C. S. Liem, Meinard Müller, Douglas Eck, George Tzanetakis
2011 J jnl
Contextual tag inference.
ACM Trans. Multim. Comput. Commun. Appl.
Michael I. Mandel, Razvan Pascanu, Douglas Eck, Yoshua Bengio, Luca Maria Aiello, Rossano Schifanella, Filippo Menczer
2011 — ed.
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
MIRUM
Cynthia C. S. Liem, Meinard Müller, Douglas Eck, George Tzanetakis
2011 — conf
Temporal Pooling and Multiscale Learning for Automatic Annotation and Ranking of Music Audio.
ISMIR
Philippe Hamel, Simon Lemieux, Yoshua Bengio, Douglas Eck
2011 — conf
The need for music information retrieval with user-centered and multimodal strategies.
MIRUM
Cynthia C. S. Liem, Meinard Müller, Douglas Eck, George Tzanetakis, Alan Hanjalic
2010 — conf
Learning Features from Music Audio with Deep Belief Networks.
ISMIR
Philippe Hamel, Douglas Eck
2010 — conf
Learning Tags that Vary Within a Song.
ISMIR
Michael I. Mandel, Douglas Eck, Yoshua Bengio
2010 — conf
Scalable Genre and Tag Prediction with Spectral Covariance.
ISMIR
James Bergstra, Michael I. Mandel, Douglas Eck
2009 — conf
An Infinite Factor Model Hierarchy Via a Noisy-Or Mechanism.
NIPS
Aaron C. Courville, Douglas Eck, Yoshua Bengio
2009 — conf
Automatic Identification of Instrument Classes in Polyphonic and Poly-Instrument Audio.
ISMIR
Philippe Hamel, Sean Wood, Douglas Eck
2009 J jnl
Probabilistic models for melodic prediction.
Artif. Intell.
Jean-François Paiement, Samy Bengio, Douglas Eck
2009 — conf
Steerable Playlist Generation by Learning Song Similarity from Radio Station Playlists.
ISMIR
François Maillet, Douglas Eck, Guillaume Desjardins, Paul Lamere
2009 — conf
Towards a musical beat emphasis function.
WASPAA
Matthew E. P. Davies, Mark D. Plumbley, Douglas Eck
2009 A* conf
Workshop summary: Sparse methods for music audio.
ICML
Douglas Eck, Dan Ellis, Philippe Hamel
2008 A* conf
A distance model for rhythms.
ICML
Jean-François Paiement, Yves Grandvalet, Samy Bengio, Douglas Eck
2008 — conf
On the Use of Sparce Time Relative Auditory Codes for Music.
ISMIR
Pierre-Antoine Manzagol, Thierry Bertin-Mahieux, Douglas Eck
2007 J jnl
A Supervised Classification Algorithm for Note Onset Detection.
EURASIP J. Adv. Signal Process.
Alexandre Lacoste, Douglas Eck
2007 — conf
Automatic Generation of Social Tags for Music Recommendation.
NIPS
Douglas Eck, Paul Lamere, Thierry Bertin-Mahieux, Stephen J. Green
2007 — conf
Autotagging Music Using Supervised Machine Learning.
ISMIR
Douglas Eck, Thierry Bertin-Mahieux, Paul Lamere
2007 — conf
Beat Tracking using an Autocorrelation Phase Matrix.
ICASSP (4)
Douglas Eck
2007 — conf
Using 3D Visualizations to Explore and Discover Music.
ISMIR
Paul Lamere, Douglas Eck
2006 J jnl
Aggregate features and ADABOOSTfor music classification.
Mach. Learn.
James Bergstra, Norman Casagrande, Dumitru Erhan, Douglas Eck, Balázs Kégl
2006 — conf
Can't Get You Out of My Head: A Connectionist Model of Cyclic Rehearsal.
ZiF Workshop
Herbert Jaeger, Douglas Eck
2006 — conf
Predicting genre labels for artist using FreeDB.
ISMIR
James Bergstra, Alexandre Lacoste, Douglas Eck
2006 — conf
Probabilistic Melodic Harmonization.
Canadian AI
Jean-François Paiement, Douglas Eck, Samy Bengio
2005 — conf
A Probabilistic Model for Chord Progressions.
ISMIR
Jean-François Paiement, Douglas Eck, Samy Bengio
2005 A* conf
A graphical model for chord progressions embedded in a psychoacoustic space.
ICML
Jean-François Paiement, Douglas Eck, Samy Bengio, David Barber
2005 — conf
Finding Meter in Music Using An Autocorrelation Phase Matrix and Shannon Entropy.
ISMIR
Douglas Eck, Norman Casagrande
2005 — conf
Frame-Level Audio Feature Extraction Using AdaBoost.
ISMIR
Norman Casagrande, Douglas Eck, Balázs Kégl
2005 — conf
Geometry in sound: a speech/Music audio Classifier Inspired by an Image Classifier.
ICMC
Norman Casagrande, Douglas Eck, Balázs Kégl
2004 — conf
Biologically Plausible Speech Recognition with LSTM Neural Nets.
BioADIT
Alex Graves, Douglas Eck, Nicole Beringer, Jürgen Schmidhuber
2003 J jnl
Kalman filters improve LSTM network performance in problems unsolvable by traditional recurrent nets.
Neural Networks
Juan Antonio Pérez-Ortiz, Felix A. Gers, Douglas Eck, Jürgen Schmidhuber
2002 B conf
DEKF-LSTM.
ESANN
Felix A. Gers, Juan Antonio Pérez-Ortiz, Douglas Eck, Jürgen Schmidhuber
2002 — conf
Finding temporal structure in music: blues improvisation with LSTM recurrent networks.
NNSP
Douglas Eck, Jürgen Schmidhuber
2002 C conf
Improving Long-Term Online Prediction with Decoupled Extended Kalman Filters.
ICANN
Juan Antonio Pérez-Ortiz, Jürgen Schmidhuber, Felix A. Gers, Douglas Eck
2002 C conf
Learning Context Sensitive Languages with LSTM Trained with Kalman Filters.
ICANN
Felix A. Gers, Juan Antonio Pérez-Ortiz, Douglas Eck, Jürgen Schmidhuber
2002 J jnl
Learning Nonregular Languages: A Comparison of Simple Recurrent Networks and LSTM.
Neural Comput.
Jürgen Schmidhuber, Felix A. Gers, Douglas Eck
2002 C conf
Learning the Long-Term Structure of the Blues.
ICANN
Douglas Eck, Jürgen Schmidhuber
2001 C conf
A Network of Relaxation Oscillators that Finds Downbeats in Rhythms.
ICANN
Douglas Eck
2001 — conf
Applying LSTM to Time Series Predictable Through Time-Window Approaches.
WIRN
Felix A. Gers, Douglas Eck, Jürgen Schmidhuber
2001 C conf
Applying LSTM to Time Series Predictable through Time-Window Approaches.
ICANN
Felix A. Gers, Douglas Eck, Jürgen Schmidhuber
1999 J jnl
Meter as Mechanism: A Neural Network Model that Learns Metrical Patterns.
Connect. Sci.
Michael Gasser, Douglas Eck, Robert F. Port