John Thickstun

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 32

Top Topics

Document Ranking

Information Bottleneck

Discriminative Classifiers

Top Venues

Trans. Mach. Learn. Res.

Publications

John Thickstun, David Leo Wright Hall, Chris Donahue, Percy Liang
Anticipatory Music Transformer. Trans. Mach. Learn. Res. 2024 (2024)
Rohith Kuditipudi, John Thickstun, Tatsunori Hashimoto, Percy Liang
Robust Distortion-free Watermarks for Language Models. Trans. Mach. Learn. Res. 2024 (2024)
John Thickstun, David Hall, Chris Donahue, Percy Liang
Anticipatory Music Transformer. CoRR (2023)
Rohith Kuditipudi, John Thickstun, Tatsunori Hashimoto, Percy Liang
Robust Distortion-free Watermarks for Language Models. CoRR (2023)
Mina Lee, Megha Srivastava, Amelia Hardy, John Thickstun, Esin Durmus, Ashwin Paranjape, Ines Gerard-Ursin, Xiang Lisa Li, Faisal Ladhak, Frieda Rong, Rose E. Wang, Minae Kwon, Joon Sung Park, Hancheng Cao, Tony Lee, Rishi Bommasani, Michael S. Bernstein, Percy Liang
Evaluating Human-Language Model Interaction. Trans. Mach. Learn. Res. 2023 (2023)
John Hewitt, John Thickstun, Christopher D. Manning, Percy Liang
Backpack Language Models. CoRR (2023)
John Hewitt, John Thickstun, Christopher D. Manning, Percy Liang
Backpack Language Models. ACL (1) (2023)
Xiang Li, John Thickstun, Ishaan Gulrajani, Percy Liang, Tatsunori B. Hashimoto
Diffusion-LM Improves Controllable Text Generation. NeurIPS (2022)
Xiang Lisa Li, John Thickstun, Ishaan Gulrajani, Percy Liang, Tatsunori B. Hashimoto
Diffusion-LM Improves Controllable Text Generation. CoRR (2022)
Krishna Pillutla, Lang Liu, John Thickstun, Sean Welleck, Swabha Swayamdipta, Rowan Zellers, Sewoong Oh, Yejin Choi, Zaïd Harchaoui
MAUVE Scores for Generative Models: Theory and Practice. CoRR (2022)
Chris Donahue, John Thickstun, Percy Liang
Melody transcription via generative pre-training. CoRR (2022)
Mina Lee, Megha Srivastava, Amelia Hardy, John Thickstun, Esin Durmus, Ashwin Paranjape, Ines Gerard-Ursin, Xiang Lisa Li, Faisal Ladhak, Frieda Rong, Rose E. Wang, Minae Kwon, Joon Sung Park, Hancheng Cao, Tony Lee, Rishi Bommasani, Michael S. Bernstein, Percy Liang
Evaluating Human-Language Model Interaction. CoRR (2022)
Chris Donahue, John Thickstun, Percy Liang
Melody transcription via generative pre-training. ISMIR (2022)
Krishna Pillutla, Swabha Swayamdipta, Rowan Zellers, John Thickstun, Sean Welleck, Yejin Choi, Zaïd Harchaoui
MAUVE: Measuring the Gap Between Neural Text and Human Text using Divergence Frontiers. NeurIPS (2021)
Vivek Jayaram, John Thickstun
Parallel and Flexible Sampling from Autoregressive Models via Langevin Dynamics. ICML (2021)
Samuel K. Ainsworth, Kendall Lowrey, John Thickstun, Zaïd Harchaoui, Siddhartha S. Srinivasa
Faster Policy Learning with Continuous-Time Gradients. L4DC (2021)
Krishna Pillutla, Swabha Swayamdipta, Rowan Zellers, John Thickstun, Yejin Choi, Zaïd Harchaoui
MAUVE: Human-Machine Divergence Curves for Evaluating Open-Ended Text Generation. CoRR (2021)
Vivek Jayaram, John Thickstun
Parallel and Flexible Sampling from Autoregressive Models via Langevin Dynamics. CoRR (2021)
John Thickstun, Jennifer Brennan, Harsh Verma
Rethinking Evaluation Methodology for Audio-to-Score Alignment. CoRR (2020)
Vivek Jayaram, John Thickstun
Source Separation with Deep Generative Priors. CoRR (2020)
Bhargavi Paranjape, Mandar Joshi, John Thickstun, Hannaneh Hajishirzi, Luke Zettlemoyer
An Information Bottleneck Approach for Controlling Conciseness in Rationale Extraction. CoRR (2020)
Bhargavi Paranjape, Mandar Joshi, John Thickstun, Hannaneh Hajishirzi, Luke Zettlemoyer
An Information Bottleneck Approach for Controlling Conciseness in Rationale Extraction. EMNLP (1) (2020)
Samuel K. Ainsworth, Kendall Lowrey, John Thickstun, Zaïd Harchaoui, Siddhartha S. Srinivasa
Faster Policy Learning with Continuous-Time Gradients. CoRR (2020)
Vivek Jayaram, John Thickstun
Source Separation with Deep Generative Priors. ICML (2020)
Harsh Verma, John Thickstun
Convolutional Composer Classification. ISMIR (2019)
John Thickstun, Zaïd Harchaoui, Dean P. Foster, Sham M. Kakade
Coupled Recurrent Models for Polyphonic Music Composition. ISMIR (2019)
Harsh Verma, John Thickstun
Convolutional Composer Classification. CoRR (2019)
John Thickstun, Zaïd Harchaoui, Dean P. Foster, Sham M. Kakade
Coupled Recurrent Models for Polyphonic Music Composition. CoRR (2018)
John Thickstun, Zaïd Harchaoui, Dean P. Foster, Sham M. Kakade
Invariances and Data Augmentation for Supervised Music Transcription. ICASSP (2018)
John Thickstun, Zaïd Harchaoui, Sham M. Kakade
Learning Features of Music From Scratch. ICLR (Poster) (2017)
John Thickstun, Zaïd Harchaoui, Dean P. Foster, Sham M. Kakade
Invariances and Data Augmentation for Supervised Music Transcription. CoRR (2017)
John Thickstun, Zaïd Harchaoui, Sham M. Kakade
Learning Features of Music from Scratch. CoRR (2016)