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Publications |
Please see Google Scholar for the most updated publication list.
PDMX: A Large-Scale Public Domain MusicXML Dataset for Symbolic Music Processing \ Phillip Long, Zachary Novack, Taylor Berg-Kirkpatrick, Julian McAuley \ Arxiv \ {% include icon_link.html text="paper" icon=site.icons.paper href="https://arxiv.org/pdf/2409.10831" %} {% include icon_link.html text="demo" icon=site.icons.demo href="https://pnlong.github.io/PDMX.demo/" %} {% include icon_link.html text="data" icon=site.icons.demo href="https://zenodo.org/records/13763756" %} {% include icon_link.html text="code" icon=site.icons.code href="https://github.com/pnlong/PDMX/" %}
LogogramNLP: Comparing Visual and Textual Representations of Ancient Logographic Writing Systems for NLP \ Danlu Chen, Freda Shi, Aditi Agarwal, Jacobo Myerston, Taylor Berg-Kirkpatrick\ Association for Computational Linguistics (ACL)\ {% include icon_link.html text="paper" icon=site.icons.paper href="https://arxiv.org/pdf/2408.04628" %} {% include icon_link.html text="project page" icon=site.icons.demo href="https://logogramnlp.github.io/" %} {% include icon_link.html text="data" icon=site.icons.demo href="https://github.com/taineleau/logogramNLP/tree/main/data" %} {% include icon_link.html text="code" icon=site.icons.code href="https://github.com/taineleau/logogramnlp" %}
Classification of Paleographic Artifacts at Scale: Mitigating Confounds and Distribution Shift in Cuneiform Tablet Dating \ Danlu Chen, Jiahe Tian, Yufei Weng, Taylor Berg-Kirkpatrick, Jacobo Myerston \ Machine Learning for Ancient Languages (ML4AL) \ {% include icon_link.html text="paper" icon=site.icons.paper href="https://aclanthology.org/2024.ml4al-1.4.pdf" %} {% include icon_link.html text="code" icon=site.icons.code href="https://github.com/taineleau/CuneiML/tree/main/ml4al_2024_dating" %}
MONSTERMASH: Multidirectional, Overlapping, Nested, Spiral Text Extraction for Recognition Models of Arabic-Script Handwriting \ Danlu Chen, Jacob Murel, Taimoor Shahid, Xiang Zhang, Jonathan Parkes Allen, Taylor Berg-Kirkpatrick, David A. Smith \ International workshop on Computational Paleography (IWCP) \ {% include icon_link.html text="paper" icon=site.icons.paper href="https://link.springer.com/chapter/10.1007/978-3-031-70642-4_6" %} {% include icon_link.html text="code" icon=site.icons.code href="https://github.com/taineleau/MONSTERMASH" %}
Improving Generalization of Speech Separation in Real-World Scenarios: Strategies in Simulation, Optimization, and Evaluation \ Ke Chen, Jiaqi Su, Taylor Berg-Kirkpatrick, Shlomo Dubnov, Zeyu Jin\ {% include icon_link.html text="paper" icon=site.icons.paper href="https://arxiv.org/pdf/2408.16126" %}
DITTO: Diffusion Inference-Time T-Optimization for Music Generation Authors\ Zachary Novack, Julian McAuley, Taylor Berg-Kirkpatrick, Nicholas J Bryan\ International Conference on Machine Learning (ICML)\ {% include icon_link.html text="paper" icon=site.icons.paper href="https://arxiv.org/pdf/2401.12179.pdf" %} {% include icon_link.html text="demo" icon=site.icons.demo href="https://ditto-music.github.io/web/" %}
Exploring the Relationship Between Model Architecture and In-Context Learning Ability\ Ivan Lee, Nan Jiang, and Taylor Berg-Kirkpatrick\ International Conference on Learning Representations (ICLR)\ {% include icon_link.html text="paper" icon=site.icons.paper href="https://arxiv.org/pdf/2310.08049.pdf" %}
Grammar-Aligned Decoding\ Kanghee Park, Jiayu Wang, Taylor Berg-Kirkpatrick, Nadia Polikarpova, and Loris D'Antoni\ arXiv preprint arXiv:2405.21047
DITTO-2: Distilled Diffusion Inference-Time T-Optimization for Music Generation\ Zachary Novack, Julian McAuley, Taylor Berg-Kirkpatrick, and Nicholas Bryan\ International Society for Music Information Retrieval Conference (ISMIR)\ {% include icon_link.html text="paper" icon=site.icons.paper href="https://arxiv.org/pdf/2405.20289.pdf" %} {% include icon_link.html text="demo" icon=site.icons.demo href="https://ditto-music.github.io/ditto2/" %}
HYSYNTH: Context-Free LLM Approximation for Guiding Program Synthesis\ Shraddha Barke, Emmanuel Anaya Gonzalez, Saketh Ram Kasibatla, Taylor Berg-Kirkpatrick, and Nadia Polikarpova\ arXiv preprint arXiv:2405.15880\ {% include icon_link.html text="paper" icon=site.icons.paper href="https://arxiv.org/pdf/2405.15880.pdf" %}
Text Conditional Alt-Text Generation for Twitter Images\ Nikita Srivatsan, Sofia Samaniego, Omar Florez, and Taylor Berg-Kirkpatrick\ International Conference on Learning Representations (ICLR)\ {% include icon_link.html text="paper" icon=site.icons.paper href="https://arxiv.org/pdf/2305.14779.pdf" %}
Clustering Running Titles to Understand the Printing of Early Modern Books\ Nikolai Vogler, Kartik Goyal, Samuel V. Lemley, D.J. Schuldt, Christopher N. Warren, Max G'Sell, and Taylor Berg-Kirkpatrick\ International Conference on Document Analysis and Recognition (ICDAR)\ {% include icon_link.html text="paper" icon=site.icons.paper href="https://arxiv.org/pdf/2405.00752.pdf" %}
MusicLDM: Enhancing Novelty in Text-to-Music Generation Using Beat-Synchronous Mixup Strategies\ Ke Chen, Yusong Wu, Haohe Liu, Marianna Nezhurina, Taylor Berg-Kirkpatrick, and Shlomo Dubnov\ IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP)\ {% include icon_link.html text="paper" icon=site.icons.paper href="https://arxiv.org/pdf/2308.01546.pdf" %} {% include icon_link.html text="demo" icon=site.icons.demo href="https://musicldm.github.io/" %} {% include icon_link.html text="code" icon=site.icons.code href="https://github.com/RetroCirce/MusicLDM/" %}
Smaller Language Models are Better Zero-shot Machine-Generated Text Detectors Authors\ Niloofar Mireshghallah, Justus Mattern, Sicun Gao, Reza Shokri, Taylor Berg-Kirkpatrick\ Conference of the European Chapter of the Association for Computational Linguistics (EACL)\ {% include icon_link.html text="paper" icon=site.icons.paper href="https://arxiv.org/abs/2305.09859.pdf" %}
MORL-Prompt: An Empirical Analysis of Multi-Objective Reinforcement Learning for Discrete Prompt Optimization\ Yasaman Jafari, Dheeraj Mekala, Rose Yu, Taylor Berg-Kirkpatrick\ arXiv preprint arXiv:2402.11711\ {% include icon_link.html text="paper" icon=site.icons.paper href="https://arxiv.org/pdf/2402.11711.pdf" %}
CuneiML: A Cuneiform Dataset for Machine Learning\ Danlu Chen, Aditi Agarwal, Taylor Berg-Kirkpatrick, and Jacobo Myerston\ Journal of Open Humanities Data, 9(1)\ {% include icon_link.html text="paper" icon=site.icons.paper href="https://storage.googleapis.com/jnl-up-j-johd-files/journals/1/articles/151/65703d56cc273.pdf" %} {% include icon_link.html text="code" icon=site.icons.code href="https://github.com/taineleau/CuneiML" %}
Simple Temporal Adaptation to Changing Label Sets: Hashtag Prediction via Dense KNN\ Niloofar Mireshghallah, Nikolai Vogler, Junxian He, Omar Florez, Ahmed El-Kishky, and Taylor Berg-Kirkpatrick\ Conference on Empirical Methods in Natural Language Processing\ {% include icon_link.html text="paper" icon=site.icons.paper href="https://aclanthology.org/2023.emnlp-main.452.pdf" %}
A Block Metropolis-Hastings Sampler for Controllable Energy-based Text Generation\ Jarad Forristal, Fatemehsadat Mireshghallah, Greg Durrett, and Taylor Berg-Kirkpatrick\ Conference on Computational Natural Language Learning (CoNLL)\ {% include icon_link.html text="paper" icon=site.icons.paper href="https://arxiv.org/pdf/2312.04510.pdf" %}
Towards Improving Harmonic Sensitivity and Prediction Stability for Singing Melody Extraction\ Keren Shao, Ke Chen, Taylor Berg-Kirkpatrick, and Shlomo Dubnov\ International Society for Music Information Retrieval Conference (ISMIR)\ {% include icon_link.html text="paper" icon=site.icons.paper href="https://arxiv.org/pdf/2308.02723.pdf" %} {% include icon_link.html text="code" icon=site.icons.code href="https://github.com/SmoothKen/KKNet" %}
URL-BERT: Training Webpage Representations via Social Media Engagements\ Ayesha Qamar, Chetan Verma, Ahmed El-Kishky, Sumit Binnani, Sneha Mehta, and Taylor Berg-Kirkpatrick\ arXiv preprint arXiv:2310.16303\ {% include icon_link.html text="paper" icon=site.icons.paper href="https://arxiv.org/pdf/2310.16303.pdf" %}
Unsupervised Lead Sheet Generation via Semantic Compression\ Zachary Novack, Nikita Srivatsan, Taylor Berg-Kirkpatrick, and Julian McAuley\ arXiv preprint arXiv:2310.10772\ {% include icon_link.html text="paper" icon=site.icons.paper href="https://arxiv.org/pdf/2310.10772.pdf" %} {% include icon_link.html text="code" icon=site.icons.code href="https://github.com/ZacharyNovack/Lead-AE" %}
Misusing Tools in Large Language Models With Visual Adversarial Examples\ Xiaohan Fu, Zihan Wang, Shuheng Li, Rajesh K Gupta, Niloofar Mireshghallah, Taylor Berg-Kirkpatrick, and Earlence Fernandes\ arXiv preprint arXiv:2310.03185\ {% include icon_link.html text="paper" icon=site.icons.paper href="https://arxiv.org/pdf/2310.03185.pdf" %}
EEBO-Verse: Sifting for Poetry in Large Early Modern Corpora Using Visual Features\ Danlu Chen, Nan Jiang, and Taylor Berg-Kirkpatrick\ International Conference on Document Analysis and Recognition (ICDAR)\ {% include icon_link.html text="paper" icon=site.icons.paper href="https://link.springer.com/chapter/10.1007/978-3-031-41734-4_3" %}
CLIPSonic: Text-to-Audio Synthesis with Unlabeled Videos and Pretrained Language-Vision Models\ Hao-Wen Dong, Xiaoyu Liu, Jordi Pons, Gautam Bhattacharya, Santiago Pascual, Joan Serrà, Taylor Berg-Kirkpatrick, and Julian McAuley\ IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA)\ {% include icon_link.html text="paper" icon=site.icons.paper href="https://arxiv.org/pdf/2306.09635.pdf" %} {% include icon_link.html text="demo" icon=site.icons.demo href="https://salu133445.github.io/clipsonic/" %}
Who Rpinted Shakespeare’s Fourth Folio?\ Christopher N Warren, Samuel V Lemley, DJ Schuldt, Elizabeth Dieterich, Laura S DeLuca, Max G’Sell, Taylor Berg-Kirkpatrick, Kari Thomas, Kartik Goyal, and Nikolai Vogler\ Shakespeare Quarterly, quad021\ {% include icon_link.html text="paper" icon=site.icons.paper href="https://doi.org/10.1093/sq/quad021" %}
Multitrack Music Transformer: Learning Long-Term Dependencies in Music with Diverse Instruments\ Hao-Wen Dong, Ke Chen, Shlomo Dubnov, Julian McAuley, and Taylor Berg-Kirkpatrick\ IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP)\ {% include icon_link.html text="paper" icon=site.icons.paper href="https://arxiv.org/pdf/2207.06983.pdf" %} {% include icon_link.html text="demo" icon=site.icons.demo href="https://salu133445.github.io/mmt/" %} {% include icon_link.html text="code" icon=site.icons.code href="https://github.com/salu133445/mmt" %}
Large-scale Contrastive Language-Audio Pretraining with Feature Fusion and Keyword-to-Caption Augmentation\ Yusong Wu*, Ke Chen*, Tianyu Zhang, Yuchen Hui, Taylor Berg-Kirkpatrick, and Shlomo Dubnov\ IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP)\ {% include icon_link.html text="paper" icon=site.icons.paper href="https://arxiv.org/pdf/2211.06687.pdf" %} {% include icon_link.html text="code" icon=site.icons.code href="https://github.com/LAION-AI/CLAP" %}
Membership Inference Attacks against Language Models via Neighbourhood Comparison\ Justus Mattern, Fatemehsadat Mireshghallah, Zhijing Jin, Bernhard Schölkopf, Mrinmaya Sachan, and Taylor Berg-Kirkpatrick\ Findings of the Association for Computational Linguistics: ACL\ {% include icon_link.html text="paper" icon=site.icons.paper href="https://arxiv.org/pdf/2305.18462.pdf" %}
Smaller Language Models are Better Black-box Machine-Generated Text Detectors\ Fatemehsadat Mireshghallah, Justus Mattern, Sicun Gao, Reza Shokri, and Taylor Berg-Kirkpatrick\ arXiv preprint arXiv:2305.09859\ {% include icon_link.html text="paper" icon=site.icons.paper href="https://arxiv.org/pdf/2305.09859.pdf" %}
Universal Source Separation with Weakly Labelled Data\ Qiuqiang Kong, Ke Chen, Haohe Liu, Xingjian Du, Taylor Berg-Kirkpatrick, Shlomo Dubnov, and Mark D. Plumbley\ arXiv preprint arXiv:2305.07447\ {% include icon_link.html text="paper" icon=site.icons.paper href="https://arxiv.org/pdf/2305.07447.pdf" %} {% include icon_link.html text="code" icon=site.icons.code href="https://github.com/bytedance/uss" %}
CLIPSep: Learning Text-queried Sound Separation with Noisy Unlabeled Videos\ Hao-Wen Dong, Naoya Takahashi, Yuki Mitsufuji, Julian McAuley, and Taylor Berg-Kirkpatrick\ International Conference on Learning Representations (ICLR)\ {% include icon_link.html text="paper" icon=site.icons.paper href="https://arxiv.org/pdf/2212.07065.pdf" %} {% include icon_link.html text="demo" icon=site.icons.demo href="https://sony.github.io/CLIPSep/" %} {% include icon_link.html text="code" icon=site.icons.code href="https://github.com/sony/CLIPSep" %}
Jointly modeling products and resource pages for task-oriented recommendation\ Brendan Duncan, Surya Kallumadi, Taylor Berg-Kirkpatrick, and Julian McAuley\ World Wide Web (WWW), Industry Track\ {% include icon_link.html text="paper" icon=site.icons.paper href="https://dl.acm.org/doi/pdf/10.1145/3543873.3584642" %}
Contrastive Attention Networks for Attribution of Early Modern Print\ Nikolai Vogler, Kartik Goyal, Kishore PV Reddy, Elizaveta Pertseva, Samuel V. Lemley, Christopher N. Warren, Max G'Sell, and Taylor Berg-Kirkpatrick\ AAAI Conference on Artificial Intelligence (AAAI)\ {% include icon_link.html text="paper" icon=site.icons.paper href="https://arxiv.org/pdf/2306.07998.pdf" %} {% include icon_link.html text="code" icon=site.icons.code href="https://github.com/nvog/damaged-type" %}
ClimaBench: A Benchmark Dataset For Climate Change Text Understanding in English\ Tanmay Laud*, Daniel Spokoyny*, Tom Corringham, and Taylor Berg-Kirkpatrick\ arXiv preprint arXiv:2301.04253\ {% include icon_link.html text="paper" icon=site.icons.paper href="https://arxiv.org/pdf/2301.04253.pdf" %} {% include icon_link.html text="code" icon=site.icons.code href="https://github.com/climabench/climabench" %}
An Empirical Analysis of Memorization in Fine-tuned Autoregressive Language Models\ Fatemehsadat Mireshghallah, Archit Uniyal, Tianhao Wang, David K Evans, and Taylor Berg-Kirkpatrick\ Conference on Empirical Methods in Natural Language Processing (EMNLP)\ {% include icon_link.html text="paper" icon=site.icons.paper href="https://aclanthology.org/2022.emnlp-main.119.pdf" %}
Quantifying Privacy Risks of Masked Language Models Using Membership Inference Attacks\ Fatemehsadat Mireshghallah, Kartik Goyal, Archit Uniyal, Taylor Berg-Kirkpatrick, and Reza Shokri\ Conference on Empirical Methods in Natural Language Processing (EMNLP)\ {% include icon_link.html text="paper" icon=site.icons.paper href="https://arxiv.org/pdf/2203.03929.pdf" %}
An Empirical Analysis of Memorization in Fine-tuned Autoregressive Language Models\ Fatemehsadat Mireshghallah, Archit Uniyal, Tianhao Wang, David Evans, and Taylor Berg-Kirkpatrick\ Conference on Empirical Methods in Natural Language Processing (EMNLP)\ {% include icon_link.html text="paper" icon=site.icons.paper href="https://aclanthology.org/2022.emnlp-main.119.pdf" %}
HeLo: Learning-Free Lookahead Decoding for Conversation Infilling\ Ivan Lee and Taylor Berg-Kirkpatrick\ Findings of the Association for Computational Linguistics: EMNLP\ {% include icon_link.html text="paper" icon=site.icons.paper href="https://aclanthology.org/2022.findings-emnlp.367.pdf" %}
Prompt Consistency for Zero-Shot Task Generalization\ Chunting Zhou*, Junxian He*, Xuezhe Ma, Taylor Berg-Kirkpatrick, and Graham Neubig\ Findings of the Association for Computational Linguistics: EMNLP\ {% include icon_link.html text="paper" icon=site.icons.paper href="https://arxiv.org/pdf/2205.00049.pdf" %}
Checklist Models for Improved Output Fluency in Piano Fingering Prediction\ Nikita Srivatsan and Taylor Berg-Kirkpatrick\ International Society for Music Information Retrieval Conference (ISMIR)\ {% include icon_link.html text="paper" icon=site.icons.paper href="https://arxiv.org/pdf/2209.05622.pdf" %}
Improving Choral Music Separation through Expressive Synthesized Data from Sampled Instruments\ Ke Chen, Hao-Wen Dong, Yi Luo, Julian McAuley, Taylor Berg-Kirkpatrick, Miller Puckette, and Shlomo Dubnov\ International Society for Music Information Retrieval Conference (ISMIR)\ {% include icon_link.html text="paper" icon=site.icons.paper href="https://arxiv.org/pdf/2209.02871.pdf" %} {% include icon_link.html text="demo" icon=site.icons.demo href="https://retrocirce.github.io/cms_demo/" %} {% include icon_link.html text="code" icon=site.icons.code href="https://github.com/RetroCirce/Choral_Music_Separation" %}
Non-Parametric Temporal Adaptation for Social Media Topic Classification\ Fatemehsadat Mireshghallah, Nikolai Vogler, Junxian He, Omar Florez, Ahmed El-Kishky, and Taylor Berg-Kirkpatrick\ arXiv preprint arXiv:2209.05706\ {% include icon_link.html text="paper" icon=site.icons.paper href="https://arxiv.org/pdf/2209.05706.pdf" %}
UserIdentifier: Implicit User Representations for Simple and Effective Personalized Sentiment Analysis\ Fatemehsadat Mireshghallah, Vaishnavi Shrivastava, Milad Shokouhi, Taylor Berg-Kirkpatrick, Robert Sim, and Dimitrios Dimitriadis\ Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT)\ {% include icon_link.html text="paper" icon=site.icons.paper href="https://arxiv.org/pdf/2110.00135.pdf" %}
Lacuna Reconstruction: Self-supervised Pre-training for Low-Resource Historical Document Transcription\ Nikolai Vogler, Jonathan Parkes Allen, Matthew Thomas Miller, and Taylor Berg-Kirkpatrick\ Findings of the Association for Computational Linguistics: NAACL-HLT\ {% include icon_link.html text="paper" icon=site.icons.paper href="https://arxiv.org/pdf/2112.08692.pdf" %}
Masked Measurement Prediction: Learning to Jointly Predict Quantities and Units from Textual Context\ Daniel Spokoyny, Ivan Lee, Zhao Jin, and Taylor Berg-Kirkpatrick\ Findings of the Association for Computational Linguistics: NAACL-HLT\ {% include icon_link.html text="paper" icon=site.icons.paper href="https://arxiv.org/pdf/2112.08616.pdf" %}
HOLM: Hallucinating Objects with Language Models for Referring Expression Recognition in Partially-Observed Scenes\ Volkan Cirik, Louis-Philippe Morency, and Taylor Berg-Kirkpatrick\ Annual Meeting of the Association for Computational Linguistics (ACL)\ {% include icon_link.html text="paper" icon=site.icons.paper href="https://aclanthology.org/2022.acl-long.373" %}
Mix and Match: Learning-free Controllable Text Generationusing Energy Language Models\ Fatemehsadat Mireshghallah, Kartik Goyal, and Taylor Berg-Kirkpatrick\ Annual Meeting of the Association for Computational Linguistics (ACL)\ {% include icon_link.html text="paper" icon=site.icons.paper href="https://aclanthology.org/2022.acl-long.31" %}
Achieving Conversational Goals with Unsupervised Post-hoc Knowledge Injection\ Bodhisattwa Prasad Majumder, Harsh Jhamtani, Taylor Berg-Kirkpatrick, and Julian McAuley\ Annual Meeting of the Association for Computational Linguistics (ACL)\ {% include icon_link.html text="paper" icon=site.icons.paper href="https://aclanthology.org/2022.acl-long.224" %}
Deep Performer: Score-to-Audio Music Performance Synthesis\ Hao-Wen Dong, Cong Zhou, Taylor Berg-Kirkpatrick, and Julian McAuley\ IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP)\ {% include icon_link.html text="paper" icon=site.icons.paper href="https://arxiv.org/pdf/2202.06034.pdf" %}
HTS-AT: A Hierarchical Token-Semantic Audio Transformer for Sound Classification and Detection\ Ke Chen, Xingjian Du, Bilei Zhu, Zejun Ma, Taylor Berg-Kirkpatrick, and Shlomo Dubnov\ IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP)\ {% include icon_link.html text="paper" icon=site.icons.paper href="https://arxiv.org/pdf/2202.00874.pdf" %} {% include icon_link.html text="code" icon=site.icons.code href="https://github.com/RetroCirce/HTS-Audio-Transformer" %}
TONet: Tone-Octave Network for Singing Melody Extraction from Polyphonic Music\ Ke Chen, Shuai Yu, Cheng-i Wang, Taylor Berg-Kirkpatrick, and Shlomo Dubnov\ IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP)\ {% include icon_link.html text="paper" icon=site.icons.paper href="https://arxiv.org/pdf/2202.00951.pdf" %} {% include icon_link.html text="code" icon=site.icons.code href="https://github.com/retrocirce/tonet" %}
Towards a Unified View of Parameter-Efficient Transfer Learning\ Junxian He*, Chunting Zhou*, Xuezhe Ma, Taylor Berg-Kirkpatrick, and Graham Neubig\ International Conference on Learning Representations (ICLR)\ {% include icon_link.html text="paper" icon=site.icons.paper href="https://arxiv.org/pdf/2110.04366.pdf" %}
Exposing the Implicit Energy Networks behind Masked Language Models via Metropolis–Hastings\ Kartik Goyal, Chris Dyer, and Taylor Berg-Kirkpatrick\ International Conference on Learning Representations (ICLR)\ {% include icon_link.html text="paper" icon=site.icons.paper href="https://arxiv.org/pdf/2106.02736.pdf" %}
Zero-shot Audio Source Separation through Query-based Learning from Weakly-labeled Data\ Ke Chen*, Xingjian Du*, Bilei Zhu, Zejun Ma, Taylor Berg-Kirkpatrick, and Shlomo Dubnov\ AAAI Conference on Artificial Intelligence (AAAI)\ {% include icon_link.html text="paper" icon=site.icons.paper href="https://arxiv.org/pdf/2112.07891.pdf" %} {% include icon_link.html text="code" icon=site.icons.code href="https://github.com/RetroCirce/Zero_Shot_Audio_Source_Separation" %}
An Unsupervised Masking Objective for Abstractive Multi-Document News Summarization\ Nikolai Vogler, Songlin Li, Yujie Xu, Yujian Mi, and Taylor Berg-Kirkpatrick\ arXiv preprint arXiv:2201.02321\ {% include icon_link.html text="paper" icon=site.icons.paper href="https://arxiv.org/pdf/2201.02321.pdf" %}
Investigating Robustness of Dialog Models to Popular Figurative Language Constructs\ Harsh Jhamtani*, Varun Gangal*, Eduard Hovy, and Taylor Berg-Kirkpatrick\ Conference on Empirical Methods in Natural Language Processing (EMNLP)\ {% include icon_link.html text="paper" icon=site.icons.paper href="https://aclanthology.org/2021.emnlp-main.592" %}
Truth-Conditional Captions for Time Series Data\ Harsh Jhamtani and Taylor Berg-Kirkpatrick\ Conference on Empirical Methods in Natural Language Processing (EMNLP)\ {% include icon_link.html text="paper" icon=site.icons.paper href="https://aclanthology.org/2021.emnlp-main.55" %}
Scalable Font Reconstruction with Dual Latent Manifolds\ Nikita Srivatsan, Si Wu, Jonathan T. Barron, and Taylor Berg-Kirkpatrick\ Conference on Empirical Methods in Natural Language Processing (EMNLP)\ {% include icon_link.html text="paper" icon=site.icons.paper href="https://aclanthology.org/2021.emnlp-main.244" %}
Style Pooling: Automatic Text Style Obfuscation for Improved Classification Fairness\ Fatemehsadat Mireshghallah and Taylor Berg-Kirkpatrick\ Conference on Empirical Methods in Natural Language Processing (EMNLP)\ {% include icon_link.html text="paper" icon=site.icons.paper href="https://aclanthology.org/2021.emnlp-main.152" %}
Efficient Nearest Neighbor Language Models\ Junxian He, Graham Neubig, and Taylor Berg-Kirkpatrick\ Conference on Empirical Methods in Natural Language Processing (EMNLP)\ {% include icon_link.html text="paper" icon=site.icons.paper href="https://aclanthology.org/2021.emnlp-main.461" %}
An Empirical Evaluation of End-to-End Polyphonic Optical Music Recognition\ Sachinda Edirisooriya, Hao-Wen Dong, Julian McAuley, and Taylor Berg-Kirkpatrick\ International Society for Music Information Retrieval Conference (ISMIR)\ {% include icon_link.html text="paper" icon=site.icons.paper href="https://archives.ismir.net/ismir2021/paper/000020.pdf" %} {% include icon_link.html text="code" icon=site.icons.code href="https://github.com/sachindae/polyphonic-omr" %}
Towards Automatic Instrumentation by Learning to Separate Parts in Symbolic Multitrack Music\ Hao-Wen Dong, Chris Donahue, Taylor Berg-Kirkpatrick, and Julian McAuley\ International Society for Music Information Retrieval Conference (ISMIR)\ {% include icon_link.html text="paper" icon=site.icons.paper href="https://arxiv.org/pdf/2107.05916.pdf" %} {% include icon_link.html text="demo" icon=site.icons.demo href="https://salu133445.github.io/arranger/" %} {% include icon_link.html text="code" icon=site.icons.code href="https://github.com/salu133445/arranger" %}
Neural Representation Learning for Scribal Hands of Linear B\ Nikita Srivatsan, Jason Vega, Christina Skelton, and Taylor Berg-Kirkpatrick\ ICDAR Workshop on Computational Paleography\ {% include icon_link.html text="paper" icon=site.icons.paper href="https://link.springer.com/content/pdf/10.1007%2F978-3-030-86159-9_23.pdf" %}
Comparative Error Analysis in Neural and Finite-state Models for Unsupervised Character-level Transduction\ Maria Ryskina, Eduard Hovy, Taylor Berg-Kirkpatrick, and Matthew R. Gormley\ SIGMORPHON Workshop on Computational Research in Phonetics, Phonology, and Morphology\ {% include icon_link.html text="paper" icon=site.icons.paper href="https://aclanthology.org/2021.sigmorphon-1.22" %}
Improving Automated Evaluation of Open Domain Dialog via Diverse Reference Augmentation\ Varun Gangal*, Harsh Jhamtani*, Eduard Hovy, and Taylor Berg-Kirkpatrick\ Findings of the Association for Computational Linguistics: ACL-IJCNLP\ {% include icon_link.html text="paper" icon=site.icons.paper href="https://aclanthology.org/2021.findings-acl.357" %}
Unsupervised Enrichment of Persona-grounded Dialog with Background Stories\ Bodhisattwa Prasad Majumder, Taylor Berg-Kirkpatrick, Julian McAuley, and Harsh Jhamtani\ Annual Meeting of the Association for Computational Linguistics and International Joint Conference on Natural Language Processing (ACL-IJCNLP)\ {% include icon_link.html text="paper" icon=site.icons.paper href="https://aclanthology.org/2021.acl-short.74" %}
Privacy Regularization: Joint Privacy-Utility Optimization in Language Models\ Fatemehsadat Mireshghallah, Huseyin A. Inan, Marcello Hasegawa, Victor Rühle, Taylor Berg-Kirkpatrick, and Robert Sim\ Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT)\ {% include icon_link.html text="paper" icon=site.icons.paper href="https://aclanthology.org/2021.naacl-main.298" %}
Paraphrastic Representations at Scale\ John Wieting, Kevin Gimpel, Graham Neubig, and Taylor Berg-Kirkpatrick\ arXiv preprint arXiv:2104.15114\ {% include icon_link.html text="paper" icon=site.icons.paper href="https://arxiv.org/pdf/2104.15114.pdf" %}
An Empirical Study of Extrapolation in Text Generation with Scalar Control\ Aashi Jain and Taylor Berg-Kirkpatrick\ arXiv preprint arXiv:2104.07910\ {% include icon_link.html text="paper" icon=site.icons.paper href="https://arxiv.org/pdf/2104.07910.pdf" %}
Learning Sparse Prototypes for Text Generation\ Junxian He, Taylor Berg-Kirkpatrick, and Graham Neubig\ International Conference on Neural Information Processing Systems (NeurIPS)\ {% include icon_link.html text="paper" icon=site.icons.paper href="https://proceedings.neurips.cc/paper/2020/file/a8ef1979aeec2737ae3830ec543ed0df-Paper.pdf" %}
Like hiking? You probably enjoy nature: Persona-grounded Dialog with Commonsense Expansions\ Bodhisattwa Prasad Majumder, Harsh Jhamtani, Taylor Berg-Kirkpatrick, and Julian McAuley\ Conference on Empirical Methods in Natural Language Processing (EMNLP)\ {% include icon_link.html text="paper" icon=site.icons.paper href="https://aclanthology.org/2020.emnlp-main.739" %}
An Empirical Investigation of Contextualized Number Prediction\ Daniel Spokoyny and Taylor Berg-Kirkpatrick\ Conference on Empirical Methods in Natural Language Processing (EMNLP)\ {% include icon_link.html text="paper" icon=site.icons.paper href="https://aclanthology.org/2020.emnlp-main.385" %}
A Bilingual Generative Transformer for Semantic Sentence Embedding\ John Wieting, Graham Neubig, and Taylor Berg-Kirkpatrick\ Conference on Empirical Methods in Natural Language Processing (EMNLP)\ {% include icon_link.html text="paper" icon=site.icons.paper href="https://aclanthology.org/2020.emnlp-main.122" %}
Narrative Text Generation with a Latent Discrete Plan\ Harsh Jhamtani and Taylor Berg-Kirkpatrick\ Findings of the Association for Computational Linguistics: EMNLP\ {% include icon_link.html text="paper" icon=site.icons.paper href="https://aclanthology.org/2020.findings-emnlp.325" %}
Discovering Music Relations with Sequential Attention\ Junyan Jiang, Gus Xia, and Taylor Berg-Kirkpatrick\ Workshop on NLP for Music and Audio (NLP4MusA)\ {% include icon_link.html text="paper" icon=site.icons.paper href="https://aclanthology.org/2020.nlp4musa-1.1" %}
MusPy: A Toolkit for Symbolic Music Generation\ Hao-Wen Dong, Ke Chen, Julian McAuley, and Taylor Berg-Kirkpatrick\ International Society for Music Information Retrieval Conference (ISMIR)\ {% include icon_link.html text="paper" icon=site.icons.paper href="https://arxiv.org/pdf/2008.01951.pdf" %} {% include icon_link.html text="demo" icon=site.icons.demo href="https://salu133445.github.io/muspy/" %} {% include icon_link.html text="code" icon=site.icons.code href="https://github.com/salu133445/muspy" %}
Music SketchNet: Controllable Music Generation via Factorized Representations of Pitch and Rhythm\ Ke Chen, Cheng-i Wang, Taylor Berg-Kirkpatrick, and Shlomo Dubnov\ International Society for Music Information Retrieval Conference (ISMIR)\ {% include icon_link.html text="paper" icon=site.icons.paper href="https://arxiv.org/pdf/2008.01291.pdf" %}
Refer360°: A Referring Expression Recognition Dataset in 360° Images\ Volkan Cirik, Taylor Berg-Kirkpatrick, and Louis-Philippe Morency\ Annual Meeting of the Association for Computational Linguistics (ACL)\ {% include icon_link.html text="paper" icon=site.icons.paper href="https://www.aclweb.org/anthology/2020.acl-main.644" %}
A Probabilistic Generative Model for Typographical Analysis of Early Modern Printing\ Kartik Goyal, Chris Dyer, Christopher Warren, Max G'Sell, and Taylor Berg-Kirkpatrick\ Annual Meeting of the Association for Computational Linguistics (ACL)\ {% include icon_link.html text="paper" icon=site.icons.paper href="https://www.aclweb.org/anthology/2020.acl-main.266" %}
Phonetic and Visual Priors for Decipherment of Informal Romanization\ Maria Ryskina, Matthew R. Gormley, and Taylor Berg-Kirkpatrick\ Annual Meeting of the Association for Computational Linguistics (ACL)\ {% include icon_link.html text="paper" icon=site.icons.paper href="https://www.aclweb.org/anthology/2020.acl-main.737" %}
A Probabilistic Formulation of Unsupervised Text Style Transfer\ Junxian He*, Xinyi Wang*, Graham Neubig, and Taylor Berg-Kirkpatrick\ International Conference on Learning Representations (ICLR)\ {% include icon_link.html text="paper" icon=site.icons.paper href="https://arxiv.org/pdf/2002.03912.pdf" %}
Domain Adaptation via Context Prediction for Engineering Diagram Search\ Harsh Jhamtani and Taylor Berg-Kirkpatrick\ European Conference on Information Retrieval (ECIR)\ {% include icon_link.html text="paper" icon=site.icons.paper href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7148009/pdf/978-3-030-45442-5_Chapter_25.pdf/?tool=EBI" %}
Where New Words Are Born: Distributional Semantic Analysis of Neologisms and Their Semantic Neighborhoods\ Maria Ryskina, Ella Rabinovich, Taylor Berg-Kirkpatrick, David R. Mortensen, and Yulia Tsvetkov\ Proceedings of the Society for Computation in Linguistics (SCiL)\ {% include icon_link.html text="paper" icon=site.icons.paper href="https://www.aclweb.org/anthology/2020.scil-1.43" %}
A Deep Factorization of Style and Structure in Fonts\ Nikita Srivatsan, Jonathan T. Barron, Dan Klein, and Taylor Berg-Kirkpatrick\ Conference on Empirical Methods in Natural Language Processing and International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)\ {% include icon_link.html text="paper" icon=site.icons.paper href="https://www.aclweb.org/anthology/D19-1225" %}
Learning Rhyming Constraints using Structured Adversaries\ Harsh Jhamtani, Sanket Vaibhav Mehta, Jaime Carbonell, and Taylor Berg-Kirkpatrick\ Conference on Empirical Methods in Natural Language Processing and International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)\ {% include icon_link.html text="paper" icon=site.icons.paper href="https://www.aclweb.org/anthology/D19-1621" %}
A Surprisingly Effective Fix for Deep Latent Variable Modeling of Text\ Bohan Li*, Junxian He*, Graham Neubig, Taylor Berg-Kirkpatrick, and Yiming Yang\ Conference on Empirical Methods in Natural Language Processing and International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)\ {% include icon_link.html text="paper" icon=site.icons.paper href="https://www.aclweb.org/anthology/D19-1370" %}
Cross-Lingual Syntactic Transfer through Unsupervised Adaptation of Invertible Projections\ Junxian He, Zhisong Zhang, Taylor Berg-Kirkpatrick, and Graham Neubig\ Annual Meeting of the Association for Computational Linguistics (ACL)\ {% include icon_link.html text="paper" icon=site.icons.paper href="https://www.aclweb.org/anthology/P19-1311" %}
Simple and Effective Paraphrastic Similarity from Parallel Translations\ John Wieting, Kevin Gimpel, Graham Neubig, and Taylor Berg-Kirkpatrick\ Annual Meeting of the Association for Computational Linguistics (ACL)\ {% include icon_link.html text="paper" icon=site.icons.paper href="https://www.aclweb.org/anthology/P19-1453" %}
Beyond BLEU: Training Neural Machine Translation with Semantic Similarity\ John Wieting, Taylor Berg-Kirkpatrick, Kevin Gimpel, and Graham Neubig\ Annual Meeting of the Association for Computational Linguistics (ACL)\ {% include icon_link.html text="paper" icon=site.icons.paper href="https://www.aclweb.org/anthology/P19-1427" %}
Modeling Self-Repetition in Music Generation using Generative Adversarial Networks\ Harsh Jhamtani and Taylor Berg-Kirkpatrick\ Machine Learning for Music Discovery Workshop (ML4MD)\ {% include icon_link.html text="paper" icon=site.icons.paper href="http://www.contrib.andrew.cmu.edu/~jharsh/papers/music_workshop_paper.pdf" %}
An Empirical Investigation of Global and Local Normalization for Recurrent Neural Sequence Models Using a Continuous Relaxation to Beam Search\ Kartik Goyal, Chris Dyer, and Taylor Berg-Kirkpatrick\ Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT)\ {% include icon_link.html text="paper" icon=site.icons.paper href="https://www.aclweb.org/anthology/N19-1171" %}
Lagging Inference Networks and Posterior Collapse in Variational Autoencoders\ Junxian He, Daniel Spokoyny, Graham Neubig, and Taylor Berg-Kirkpatrick\ International Conference on Learning Representations (ICLR)\ {% include icon_link.html text="paper" icon=site.icons.paper href="https://arxiv.org/pdf/1901.05534.pdf" %}
Unsupervised Text Style Transfer using Language Models as Discriminators\ Zichao Yang, Zhiting Hu, Chris Dyer, Eric P. Xing, and Taylor Berg-Kirkpatrick\ International Conference on Neural Information Processing Systems (NeurIPS)\ {% include icon_link.html text="paper" icon=site.icons.paper href="https://proceedings.neurips.cc/paper/2018/file/398475c83b47075e8897a083e97eb9f0-Paper.pdf" %}
Speaker-Follower Models for Vision-and-Language Navigation\ Daniel Fried*, Ronghang Hu*, Volkan Cirik*, Anna Rohrbach, Jacob Andreas, Louis-Philippe Morency, Taylor Berg-Kirkpatrick, Kate Saenko, Dan Klein**, and Trevor Darrell**\ International Conference on Neural Information Processing Systems (NeurIPS)\ {% include icon_link.html text="paper" icon=site.icons.paper href="https://proceedings.neurips.cc/paper/2018/file/6a81681a7af700c6385d36577ebec359-Paper.pdf" %}
Modeling Online Discourse with Coupled Distributed Topics\ Nikita Srivatsan, Zachary Wojtowicz, and Taylor Berg-Kirkpatrick\ Conference on Empirical Methods in Natural Language Processing (EMNLP)\ {% include icon_link.html text="paper" icon=site.icons.paper href="https://www.aclweb.org/anthology/D18-1496" %}
Learning to Describe Differences Between Pairs of Similar Images\ Harsh Jhamtani and Taylor Berg-Kirkpatrick\ Conference on Empirical Methods in Natural Language Processing (EMNLP)\ {% include icon_link.html text="paper" icon=site.icons.paper href="https://www.aclweb.org/anthology/D18-1436" %}
Unsupervised Learning of Syntactic Structure with Invertible Neural Projections\ Junxian He, Graham Neubig, and Taylor Berg-Kirkpatrick\ Conference on Empirical Methods in Natural Language Processing (EMNLP)\ {% include icon_link.html text="paper" icon=site.icons.paper href="https://www.aclweb.org/anthology/D18-1160" %}
Learning to Generate Move-by-Move Commentary for Chess Games from Large-Scale Social Forum Data\ Harsh Jhamtani*, Varun Gangal*, Eduard Hovy, Graham Neubig, and Taylor Berg-Kirkpatrick\ Annual Meeting of the Association for Computational Linguistics (ACL)\ {% include icon_link.html text="paper" icon=site.icons.paper href="https://www.aclweb.org/anthology/P18-1154" %}
Visual Referring Expression Recognition: What Do Systems Actually Learn?\ Volkan Cirik, Louis-Philippe Morency, and Taylor Berg-Kirkpatrick\ Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT)\ {% include icon_link.html text="paper" icon=site.icons.paper href="https://www.aclweb.org/anthology/N18-2123" %}
A Continuous Relaxation of Beam Search for End-to-end Training of Neural Sequence Models\ Kartik Goyal, Graham Neubig, Chris Dyer, and Taylor Berg-Kirkpatrick\ AAAI Conference on Artificial Intelligence (AAAI)\ {% include icon_link.html text="paper" icon=site.icons.paper href="https://arxiv.org/pdf/1708.00111.pdf" %}
Using Syntax to Ground Referring Expressions in Natural Images\ Volkan Cirik, Taylor Berg-Kirkpatrick, and Louis-Philippe Morency\ AAAI Conference on Artificial Intelligence (AAAI)\ {% include icon_link.html text="paper" icon=site.icons.paper href="https://arxiv.org/pdf/1805.10547.pdf" %}
SPINE: SParse Interpretable Neural Embeddings\ Anant Subramanian*, Danish Pruthi*, Harsh Jhamtani*, Taylor Berg-Kirkpatrick, and Eduard Hovy\ AAAI Conference on Artificial Intelligence (AAAI)\ {% include icon_link.html text="paper" icon=site.icons.paper href="https://arxiv.org/pdf/1711.08792.pdf" %}
Improved Variational Autoencoders for Text Modeling using Dilated Convolutions\ Zichao Yang, Zhiting Hu, Ruslan Salakhutdinov, and Taylor Berg-Kirkpatrick\ International Conference on Machine Learning (ICML)\ {% include icon_link.html text="paper" icon=site.icons.paper href="https://proceedings.mlr.press/v70/yang17d.html" %}
Efficient Correlated Topic Modeling with Topic Embedding\ Junxian He*, Zhiting Hu*, Taylor Berg-Kirkpatrick, Ying Huang, and Eric P. Xing.\ ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD)\ {% include icon_link.html text="paper" icon=site.icons.paper href="https://arxiv.org/pdf/1707.00206.pdf" %}
Automatic Compositor Attribution in the First Folio of Shakespeare\ Maria Ryskina, Hannah Alpert-Abrams, Dan Garrette, and Taylor Berg-Kirkpatrick\ Annual Meeting of the Association for Computational Linguistics (ACL)\ {% include icon_link.html text="paper" icon=site.icons.paper href="https://www.aclweb.org/anthology/P17-2065" %}
Differentiable Scheduled Sampling for Credit Assignment\ Kartik Goyal, Chris Dyer, and Taylor Berg-Kirkpatrick\ Annual Meeting of the Association for Computational Linguistics (ACL)\ {% include icon_link.html text="paper" icon=site.icons.paper href="https://www.aclweb.org/anthology/P17-2058" %}
Learning-Based Single-Document Summarization with Compression and Anaphoricity Constraints\ Greg Durrett, Taylor Berg-Kirkpatrick, and Dan Klein\ Annual Meeting of the Association for Computational Linguistics (ACL)\ {% include icon_link.html text="paper" icon=site.icons.paper href="https://www.aclweb.org/anthology/P16-1188" %}
Using accelerometers to remotely and automatically characterize behavior in small animals\ Talisin T. Hammond, Dwight Springthorpe, Rachel E. Walsh, and Taylor Berg-Kirkpatrick.\ Journal of Experimental Biology, 219(11)\ {% include icon_link.html text="paper" icon=site.icons.paper href="https://journals.biologists.com/jeb/article/219/11/1618/15171/Using-accelerometers-to-remotely-and-automatically" %}