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07/28/2023
Robust Distortion-free Watermarks for Language Models
We propose a methodology for planting watermarks in text from an autoreg...
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06/14/2023
Anticipatory Music Transformer
We introduce anticipation: a method for constructing a controllable gene...
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12/19/2022
Evaluating Human-Language Model Interaction
Many real-world applications of language models (LMs), such as code auto...
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12/04/2022
Melody transcription via generative pre-training
Despite the central role that melody plays in music perception, it remai...
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05/27/2022
Diffusion-LM Improves Controllable Text Generation
Controlling the behavior of language models (LMs) without re-training is...
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05/17/2021
Parallel and Flexible Sampling from Autoregressive Models via Langevin Dynamics
This paper introduces an alternative approach to sampling from autoregre...
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02/02/2021
MAUVE: Human-Machine Divergence Curves for Evaluating Open-Ended Text Generation
Despite major advances in open-ended text generation, there has been lim...
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12/12/2020
Faster Policy Learning with Continuous-Time Gradients
We study the estimation of policy gradients for continuous-time systems ...
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09/30/2020
Rethinking Evaluation Methodology for Audio-to-Score Alignment
This paper offers a precise, formal definition of an audio-to-score alig...
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05/01/2020
An Information Bottleneck Approach for Controlling Conciseness in Rationale Extraction
Decisions of complex language understanding models can be rationalized b...
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02/19/2020
Source Separation with Deep Generative Priors
Despite substantial progress in signal source separation, results for ri...
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11/26/2019
Convolutional Composer Classification
This paper investigates end-to-end learnable models for attributing comp...
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11/20/2018
Coupled Recurrent Models for Polyphonic Music Composition
This work describes a novel recurrent model for music composition, which...
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11/13/2017
