Adam Roberts

According to our database1, Adam Roberts authored at least 55 papers between 2007 and 2024.

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Bibliography

2024
Scaling Instruction-Finetuned Language Models.
J. Mach. Learn. Res., 2024

Training LLMs over Neurally Compressed Text.
CoRR, 2024

Gemma: Open Models Based on Gemini Research and Technology.
CoRR, 2024

A Pretrainer's Guide to Training Data: Measuring the Effects of Data Age, Domain Coverage, Quality, & Toxicity.
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

Adaptive Accompaniment with ReaLchords.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023
Scaling Up Models and Data with t5x and seqio.
J. Mach. Learn. Res., 2023

PaLM: Scaling Language Modeling with Pathways.
J. Mach. Learn. Res., 2023

Report of the 1st Workshop on Generative AI and Law.
CoRR, 2023

SingSong: Generating musical accompaniments from singing.
CoRR, 2023

MusicLM: Generating Music From Text.
CoRR, 2023

The Flan Collection: Designing Data and Methods for Effective Instruction Tuning.
Proceedings of the International Conference on Machine Learning, 2023

Large Language Models Struggle to Learn Long-Tail Knowledge.
Proceedings of the International Conference on Machine Learning, 2023

UniMax: Fairer and More Effective Language Sampling for Large-Scale Multilingual Pretraining.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Crosslingual Generalization through Multitask Finetuning.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Character-Aware Models Improve Visual Text Rendering.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022
ByT5: Towards a Token-Free Future with Pre-trained Byte-to-Byte Models.
Trans. Assoc. Comput. Linguistics, 2022

VeLO: Training Versatile Learned Optimizers by Scaling Up.
CoRR, 2022

Scaling Instruction-Finetuned Language Models.
CoRR, 2022

What Language Model Architecture and Pretraining Objective Work Best for Zero-Shot Generalization?
CoRR, 2022

Scaling Up Models and Data with t5x and seqio.
CoRR, 2022

LaMDA: Language Models for Dialog Applications.
CoRR, 2022

Multi-instrument Music Synthesis with Spectrogram Diffusion.
Proceedings of the 23rd International Society for Music Information Retrieval Conference, 2022

What Language Model Architecture and Pretraining Objective Works Best for Zero-Shot Generalization?
Proceedings of the International Conference on Machine Learning, 2022

2021
Extracting Training Data from Large Language Models.
Proceedings of the 30th USENIX Security Symposium, 2021

mT5: A Massively Multilingual Pre-trained Text-to-Text Transformer.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Do Transformer Modifications Transfer Across Implementations and Applications?
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

2020
Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer.
J. Mach. Learn. Res., 2020

WT5?! Training Text-to-Text Models to Explain their Predictions.
CoRR, 2020


DDSP: Differentiable Digital Signal Processing.
Proceedings of the 8th International Conference on Learning Representations, 2020

How Much Knowledge Can You Pack Into the Parameters of a Language Model?
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

2019
The Bach Doodle: Approachable music composition with machine learning at scale.
CoRR, 2019

Approachable Music Composition with Machine Learning at Scale.
Proceedings of the 20th International Society for Music Information Retrieval Conference, 2019

Fast and Flexible Neural Audio Synthesis.
Proceedings of the 20th International Society for Music Information Retrieval Conference, 2019

Learning to Groove with Inverse Sequence Transformations.
Proceedings of the 36th International Conference on Machine Learning, 2019

Enabling Factorized Piano Music Modeling and Generation with the MAESTRO Dataset.
Proceedings of the 7th International Conference on Learning Representations, 2019

GANSynth: Adversarial Neural Audio Synthesis.
Proceedings of the 7th International Conference on Learning Representations, 2019

Identifying the Intersections: User Experience + Research Scientist Collaboration in a Generative Machine Learning Interface.
Proceedings of the Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systems, 2019

2018
Learning a Latent Space of Multitrack Measures.
CoRR, 2018

Learning Latent Representations of Music to Generate Interactive Musical Palettes.
Proceedings of the Joint Proceedings of the ACM IUI 2018 Workshops co-located with the 23rd ACM Conference on Intelligent User Interfaces (ACM IUI 2018), 2018

Onsets and Frames: Dual-Objective Piano Transcription.
Proceedings of the 19th International Society for Music Information Retrieval Conference, 2018

A Hierarchical Latent Vector Model for Learning Long-Term Structure in Music.
Proceedings of the 35th International Conference on Machine Learning, 2018

Latent Constraints: Learning to Generate Conditionally from Unconditional Generative Models.
Proceedings of the 6th International Conference on Learning Representations, 2018

2017
Counterpoint by Convolution.
Proceedings of the 18th International Society for Music Information Retrieval Conference, 2017

Neural Audio Synthesis of Musical Notes with WaveNet Autoencoders.
Proceedings of the 34th International Conference on Machine Learning, 2017

2015
Perception and representation of Bengali nasal vowels.
Proceedings of the 18th International Congress of Phonetic Sciences, 2015

2013
Ambiguous fragment assignment for high-throughput sequencing experiments.
PhD thesis, 2013

Fragment assignment in the cloud with eXpress-D.
BMC Bioinform., 2013

Updating RNA-Seq analyses after re-annotation.
Bioinform., 2013

2012
Quantifying uniformity of mapped reads.
Bioinform., 2012

2011
Identification of novel transcripts in annotated genomes using RNA-Seq.
Bioinform., 2011

2009
Fast Statistical Alignment.
PLoS Comput. Biol., 2009

Automated Risk Detection - What are the Key Elements Needed to Create a Multi-source, Pattern-based Risk Detection System?
Proceedings of the Second International Conference on Health Informatics, 2009

2007
Inferring missing genotypes in large SNP panels using fast nearest-neighbor searches over sliding windows.
Proceedings of the Proceedings 15th International Conference on Intelligent Systems for Molecular Biology (ISMB) & 6th European Conference on Computational Biology (ECCB), 2007

Sample Selection for Maximal Diversity.
Proceedings of the 7th IEEE International Conference on Data Mining (ICDM 2007), 2007


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