Taylor Berg-Kirkpatrick

ORCID

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 175

Top Venues

Publications

Nikita Srivatsan, Sofía Samaniego, Omar Florez, Taylor Berg-Kirkpatrick
Alt-Text with Context: Improving Accessibility for Images on Twitter. ICLR (2024)
Ke Chen, Yusong Wu, Haohe Liu, Marianna Nezhurina, Taylor Berg-Kirkpatrick, Shlomo Dubnov
MusicLDM: Enhancing Novelty in text-to-music Generation Using Beat-Synchronous mixup Strategies. ICASSP (2024)
Danlu Chen, Freda Shi, Aditi Agarwal, Jacobo Myerston, Taylor Berg-Kirkpatrick
LogogramNLP: Comparing Visual and Textual Representations of Ancient Logographic Writing Systems for NLP. ACL (1) (2024)
Zachary Novack, Julian J. McAuley, Taylor Berg-Kirkpatrick, Nicholas J. Bryan
DITTO-2: Distilled Diffusion Inference-Time T-Optimization for Music Generation. CoRR (2024)
Niloofar Mireshghallah, Justus Mattern, Sicun Gao, Reza Shokri, Taylor Berg-Kirkpatrick
Smaller Language Models are Better Zero-shot Machine-Generated Text Detectors. EACL (2) (2024)
Zachary Novack, Julian J. McAuley, Taylor Berg-Kirkpatrick, Nicholas J. Bryan
DITTO: Diffusion Inference-Time T-Optimization for Music Generation. CoRR (2024)
Ivan Lee, Nan Jiang, Taylor Berg-Kirkpatrick
Is attention required for ICL? Exploring the Relationship Between Model Architecture and In-Context Learning Ability. ICLR (2024)
Kanghee Park, Jiayu Wang, Taylor Berg-Kirkpatrick, Nadia Polikarpova, Loris D'Antoni
Grammar-Aligned Decoding. CoRR (2024)
Shraddha Barke, Emmanuel Anaya Gonzalez, Saketh Ram Kasibatla, Taylor Berg-Kirkpatrick, Nadia Polikarpova
HYSYNTH: Context-Free LLM Approximation for Guiding Program Synthesis. CoRR (2024)
Nikolai Vogler, Kartik Goyal, Samuel V. Lemley, D. J. Schuldt, Christopher N. Warren, Max G'Sell, Taylor Berg-Kirkpatrick
Clustering Running Titles to Understand the Printing of Early Modern Books. CoRR (2024)
Yasaman Jafari, Dheeraj Mekala, Rose Yu, Taylor Berg-Kirkpatrick
MORL-Prompt: An Empirical Analysis of Multi-Objective Reinforcement Learning for Discrete Prompt Optimization. CoRR (2024)
Hao-Wen Dong, Xiaoyu Liu, Jordi Pons, Gautam Bhattacharya, Santiago Pascual, Joan Serrà, Taylor Berg-Kirkpatrick, Julian J. McAuley
CLIPSonic: Text-to-Audio Synthesis with Unlabeled Videos and Pretrained Language-Vision Models. WASPAA (2023)
Nikolai Vogler, Kartik Goyal, Kishore PV Reddy, Elizaveta Pertseva, Samuel V. Lemley, Christopher N. Warren, Max G'Sell, Taylor Berg-Kirkpatrick
Contrastive Attention Networks for Attribution of Early Modern Print. CoRR (2023)
Justus Mattern, Fatemehsadat Mireshghallah, Zhijing Jin, Bernhard Schölkopf, Mrinmaya Sachan, Taylor Berg-Kirkpatrick
Membership Inference Attacks against Language Models via Neighbourhood Comparison. ACL (Findings) (2023)
Danlu Chen, Nan Jiang, Taylor Berg-Kirkpatrick
EEBO-Verse: Sifting for Poetry in Large Early Modern Corpora Using Visual Features. ICDAR (5) (2023)
Fatemehsadat Mireshghallah, Justus Mattern, Sicun Gao, Reza Shokri, Taylor Berg-Kirkpatrick
Smaller Language Models are Better Black-box Machine-Generated Text Detectors. CoRR (2023)
Tanmay Laud, Daniel Spokoyny, Tom Corringham, Taylor Berg-Kirkpatrick
ClimaBench: A Benchmark Dataset For Climate Change Text Understanding in English. CoRR (2023)
Hao-Wen Dong, Ke Chen, Shlomo Dubnov, Julian J. McAuley, Taylor Berg-Kirkpatrick
Multitrack Music Transformer. ICASSP (2023)
Qiuqiang Kong, Ke Chen, Haohe Liu, Xingjian Du, Taylor Berg-Kirkpatrick, Shlomo Dubnov, Mark D. Plumbley
Universal Source Separation with Weakly Labelled Data. CoRR (2023)
Xiaohan Fu, Zihan Wang, Shuheng Li, Rajesh K. Gupta, Niloofar Mireshghallah, Taylor Berg-Kirkpatrick, Earlence Fernandes
Misusing Tools in Large Language Models With Visual Adversarial Examples. CoRR (2023)
Ayesha Qamar, Chetan Verma, Ahmed El-Kishky, Sumit Binnani, Sneha Mehta, Taylor Berg-Kirkpatrick
URL-BERT: Training Webpage Representations via Social Media Engagements. CoRR (2023)
Niloofar Mireshghallah, Nikolai Vogler, Junxian He, Omar Florez, Ahmed El-Kishky, Taylor Berg-Kirkpatrick
Simple Temporal Adaptation to Changing Label Sets: Hashtag Prediction via Dense KNN. EMNLP (2023)
Nikita Srivatsan, Sofía Samaniego, Omar Florez, Taylor Berg-Kirkpatrick
Text Conditional Alt-Text Generation for Twitter Images. CoRR (2023)
Brendan Duncan, Surya Kallumadi, Taylor Berg-Kirkpatrick, Julian J. McAuley
Jointly modeling products and resource pages for task-oriented recommendation. WWW (Companion Volume) (2023)
Jarad Forristal, Fatemehsadat Mireshghallah, Greg Durrett, Taylor Berg-Kirkpatrick
A Block Metropolis-Hastings Sampler for Controllable Energy-based Text Generation. CoNLL (2023)
Yusong Wu, Ke Chen, Tianyu Zhang, Yuchen Hui, Taylor Berg-Kirkpatrick, Shlomo Dubnov
Large-Scale Contrastive Language-Audio Pretraining with Feature Fusion and Keyword-to-Caption Augmentation. ICASSP (2023)
Keren Shao, Ke Chen, Taylor Berg-Kirkpatrick, Shlomo Dubnov
Towards Improving Harmonic Sensitivity and Prediction Stability for Singing Melody Extraction. CoRR (2023)
John Wieting, Jonathan H. Clark, William W. Cohen, Graham Neubig, Taylor Berg-Kirkpatrick
Beyond Contrastive Learning: A Variational Generative Model for Multilingual Retrieval. ACL (1) (2023)
Hao-Wen Dong, Xiaoyu Liu, Jordi Pons, Gautam Bhattacharya, Santiago Pascual, Joan Serrà, Taylor Berg-Kirkpatrick, Julian J. McAuley
CLIPSonic: Text-to-Audio Synthesis with Unlabeled Videos and Pretrained Language-Vision Models. CoRR (2023)
Hao-Wen Dong, Naoya Takahashi, Yuki Mitsufuji, Julian J. McAuley, Taylor Berg-Kirkpatrick
CLIPSep: Learning Text-queried Sound Separation with Noisy Unlabeled Videos. ICLR (2023)
Justus Mattern, Fatemehsadat Mireshghallah, Zhijing Jin, Bernhard Schölkopf, Mrinmaya Sachan, Taylor Berg-Kirkpatrick
Membership Inference Attacks against Language Models via Neighbourhood Comparison. CoRR (2023)
Ke Chen, Yusong Wu, Haohe Liu, Marianna Nezhurina, Taylor Berg-Kirkpatrick, Shlomo Dubnov
MusicLDM: Enhancing Novelty in Text-to-Music Generation Using Beat-Synchronous Mixup Strategies. CoRR (2023)
Zachary Novack, Nikita Srivatsan, Taylor Berg-Kirkpatrick, Julian J. McAuley
Unsupervised Lead Sheet Generation via Semantic Compression. CoRR (2023)
Ivan Lee, Nan Jiang, Taylor Berg-Kirkpatrick
Exploring the Relationship Between Model Architecture and In-Context Learning Ability. CoRR (2023)
Jarad Forristal, Niloofar Mireshghallah, Greg Durrett, Taylor Berg-Kirkpatrick
A Block Metropolis-Hastings Sampler for Controllable Energy-based Text Generation. CoRR (2023)
Nikolai Vogler, Kartik Goyal, Kishore PV Reddy, Elizaveta Pertseva, Samuel V. Lemley, Christopher N. Warren, Max G'Sell, Taylor Berg-Kirkpatrick
Contrastive Attention Networks for Attribution of Early Modern Print. AAAI (2023)
Keren Shao, Ke Chen, Taylor Berg-Kirkpatrick, Shlomo Dubnov
Towards Improving Harmonic Sensitivity and Prediction Stability for Singing Melody Extraction. ISMIR (2023)
Fatemehsadat Mireshghallah, Vaishnavi Shrivastava, Milad Shokouhi, Taylor Berg-Kirkpatrick, Robert Sim, Dimitrios Dimitriadis
UserIdentifier: Implicit User Representations for Simple and Effective Personalized Sentiment Analysis. NAACL-HLT (2022)
Chunting Zhou, Junxian He, Xuezhe Ma, Taylor Berg-Kirkpatrick, Graham Neubig
Prompt Consistency for Zero-Shot Task Generalization. EMNLP (Findings) (2022)
Nikolai Vogler, Jonathan Parkes Allen, Matthew Thomas Miller, Taylor Berg-Kirkpatrick
Lacuna Reconstruction: Self-Supervised Pre-Training for Low-Resource Historical Document Transcription. NAACL-HLT (Findings) (2022)
Nikita Srivatsan, Taylor Berg-Kirkpatrick
Checklist Models for Improved Output Fluency in Piano Fingering Prediction. CoRR (2022)
Ke Chen, Xingjian Du, Bilei Zhu, Zejun Ma, Taylor Berg-Kirkpatrick, Shlomo Dubnov
HTS-AT: A Hierarchical Token-Semantic Audio Transformer for Sound Classification and Detection. ICASSP (2022)
Ke Chen, Hao-Wen Dong, Yi Luo, Julian J. McAuley, Taylor Berg-Kirkpatrick, Miller S. Puckette, Shlomo Dubnov
Improving Choral Music Separation through Expressive Synthesized Data from Sampled Instruments. CoRR (2022)
Yusong Wu, Ke Chen, Tianyu Zhang, Yuchen Hui, Taylor Berg-Kirkpatrick, Shlomo Dubnov
Large-scale Contrastive Language-Audio Pretraining with Feature Fusion and Keyword-to-Caption Augmentation. CoRR (2022)
Fatemehsadat Mireshghallah, Kartik Goyal, Archit Uniyal, Taylor Berg-Kirkpatrick, Reza Shokri
Quantifying Privacy Risks of Masked Language Models Using Membership Inference Attacks. EMNLP (2022)
Fatemehsadat Mireshghallah, Kartik Goyal, Taylor Berg-Kirkpatrick
Mix and Match: Learning-free Controllable Text Generation using Energy Language Models. CoRR (2022)
John Wieting, Jonathan H. Clark, William W. Cohen, Graham Neubig, Taylor Berg-Kirkpatrick
Beyond Contrastive Learning: A Variational Generative Model for Multilingual Retrieval. CoRR (2022)
Hao-Wen Dong, Naoya Takahashi, Yuki Mitsufuji, Julian J. McAuley, Taylor Berg-Kirkpatrick
CLIPSep: Learning Text-queried Sound Separation with Noisy Unlabeled Videos. CoRR (2022)
Chunting Zhou, Junxian He, Xuezhe Ma, Taylor Berg-Kirkpatrick, Graham Neubig
Prompt Consistency for Zero-Shot Task Generalization. CoRR (2022)
Ke Chen, Xingjian Du, Bilei Zhu, Zejun Ma, Taylor Berg-Kirkpatrick, Shlomo Dubnov
Zero-Shot Audio Source Separation through Query-Based Learning from Weakly-Labeled Data. AAAI (2022)
Hao-Wen Dong, Ke Chen, Shlomo Dubnov, Julian J. McAuley, Taylor Berg-Kirkpatrick
Multitrack Music Transformer: Learning Long-Term Dependencies in Music with Diverse Instruments. CoRR (2022)
Fatemehsadat Mireshghallah, Kartik Goyal, Archit Uniyal, Taylor Berg-Kirkpatrick, Reza Shokri
Quantifying Privacy Risks of Masked Language Models Using Membership Inference Attacks. CoRR (2022)
John Wieting, Kevin Gimpel, Graham Neubig, Taylor Berg-Kirkpatrick
Paraphrastic Representations at Scale. EMNLP (Demos) (2022)
Fatemehsadat Mireshghallah, Archit Uniyal, Tianhao Wang, David Evans, Taylor Berg-Kirkpatrick
Memorization in NLP Fine-tuning Methods. CoRR (2022)
Daniel Spokoyny, Ivan Lee, Zhao Jin, Taylor Berg-Kirkpatrick
Masked Measurement Prediction: Learning to Jointly Predict Quantities and Units from Textual Context. NAACL-HLT (Findings) (2022)
Ivan Lee, Taylor Berg-Kirkpatrick
HeLo: Learning-Free Lookahead Decoding for Conversation Infilling. EMNLP (Findings) (2022)
Bodhisattwa Prasad Majumder, Harsh Jhamtani, Taylor Berg-Kirkpatrick, Julian J. McAuley
Achieving Conversational Goals with Unsupervised Post-hoc Knowledge Injection. ACL (1) (2022)
Nikolai Vogler, Songlin Li, Yujie Xu, Yujian Mi, Taylor Berg-Kirkpatrick
An Unsupervised Masking Objective for Abstractive Multi-Document News Summarization. CoRR (2022)
Fatemehsadat Mireshghallah, Nikolai Vogler, Junxian He, Omar Florez, Ahmed El-Kishky, Taylor Berg-Kirkpatrick
Non-Parametric Temporal Adaptation for Social Media Topic Classification. CoRR (2022)
Ke Chen, Hao-Wen Dong, Yi Luo, Julian J. McAuley, Taylor Berg-Kirkpatrick, Miller S. Puckette, Shlomo Dubnov
Improving Choral Music Separation through Expressive Synthesized Data from Sampled Instruments. ISMIR (2022)
Bodhisattwa Prasad Majumder, Harsh Jhamtani, Taylor Berg-Kirkpatrick, Julian J. McAuley
Achieving Conversational Goals with Unsupervised Post-hoc Knowledge Injection. CoRR (2022)
Hao-Wen Dong, Cong Zhou, Taylor Berg-Kirkpatrick, Julian J. McAuley
Deep Performer: Score-to-Audio Music Performance Synthesis. CoRR (2022)
Ke Chen, Shuai Yu, Cheng-i Wang, Wei Li, Taylor Berg-Kirkpatrick, Shlomo Dubnov
Tonet: Tone-Octave Network for Singing Melody Extraction from Polyphonic Music. ICASSP (2022)
Volkan Cirik, Louis-Philippe Morency, Taylor Berg-Kirkpatrick
HOLM: Hallucinating Objects with Language Models for Referring Expression Recognition in Partially-Observed Scenes. ACL (1) (2022)
Junxian He, Chunting Zhou, Xuezhe Ma, Taylor Berg-Kirkpatrick, Graham Neubig
Towards a Unified View of Parameter-Efficient Transfer Learning. ICLR (2022)
Fatemehsadat Mireshghallah, Archit Uniyal, Tianhao Wang, David Evans, Taylor Berg-Kirkpatrick
An Empirical Analysis of Memorization in Fine-tuned Autoregressive Language Models. EMNLP (2022)
Kartik Goyal, Chris Dyer, Taylor Berg-Kirkpatrick
Exposing the Implicit Energy Networks behind Masked Language Models via Metropolis--Hastings. ICLR (2022)
Ke Chen, Shuai Yu, Cheng-i Wang, Wei Li, Taylor Berg-Kirkpatrick, Shlomo Dubnov
TONet: Tone-Octave Network for Singing Melody Extraction from Polyphonic Music. CoRR (2022)
Nikita Srivatsan, Taylor Berg-Kirkpatrick
Checklist Models for Improved Output Fluency in Piano Fingering Prediction. ISMIR (2022)
Ke Chen, Xingjian Du, Bilei Zhu, Zejun Ma, Taylor Berg-Kirkpatrick, Shlomo Dubnov
HTS-AT: A Hierarchical Token-Semantic Audio Transformer for Sound Classification and Detection. CoRR (2022)
Fatemehsadat Mireshghallah, Kartik Goyal, Taylor Berg-Kirkpatrick
Mix and Match: Learning-free Controllable Text Generationusing Energy Language Models. ACL (1) (2022)
Hao-Wen Dong, Cong Zhou, Taylor Berg-Kirkpatrick, Julian J. McAuley
Deep Performer: Score-to-Audio Music Performance Synthesis. ICASSP (2022)
Junxian He, Graham Neubig, Taylor Berg-Kirkpatrick
Efficient Nearest Neighbor Language Models. CoRR (2021)
Varun Gangal, Harsh Jhamtani, Eduard H. Hovy, Taylor Berg-Kirkpatrick
Improving Automated Evaluation of Open Domain Dialog via Diverse Reference Augmentation. ACL/IJCNLP (Findings) (2021)
Harsh Jhamtani, Taylor Berg-Kirkpatrick
Truth-Conditional Captioning of Time Series Data. CoRR (2021)
Aashi Jain, Taylor Berg-Kirkpatrick
An Empirical Study of Extrapolation in Text Generation with Scalar Control. CoRR (2021)
Nikita Srivatsan, Si Wu, Jonathan T. Barron, Taylor Berg-Kirkpatrick
Scalable Font Reconstruction with Dual Latent Manifolds. EMNLP (1) (2021)
Sachinda Edirisooriya, Hao-Wen Dong, Julian J. McAuley, Taylor Berg-Kirkpatrick
An Empirical Evaluation of End-to-End Polyphonic Optical Music Recognition. ISMIR (2021)
John Wieting, Kevin Gimpel, Graham Neubig, Taylor Berg-Kirkpatrick
Paraphrastic Representations at Scale. CoRR (2021)
Daniel Spokoyny, Ivan Lee, Zhao Jin, Taylor Berg-Kirkpatrick
Masked Measurement Prediction: Learning to Jointly Predict Quantities and Units from Textual Context. CoRR (2021)
Junxian He, Chunting Zhou, Xuezhe Ma, Taylor Berg-Kirkpatrick, Graham Neubig
Towards a Unified View of Parameter-Efficient Transfer Learning. CoRR (2021)
Fatemehsadat Mireshghallah, Huseyin A. Inan, Marcello Hasegawa, Victor Rühle, Taylor Berg-Kirkpatrick, Robert Sim
Privacy Regularization: Joint Privacy-Utility Optimization in LanguageModels. NAACL-HLT (2021)
Hao-Wen Dong, Chris Donahue, Taylor Berg-Kirkpatrick, Julian J. McAuley
Towards Automatic Instrumentation by Learning to Separate Parts in Symbolic Multitrack Music. CoRR (2021)
Nikita Srivatsan, Jason Vega, Christina Skelton, Taylor Berg-Kirkpatrick
Neural Representation Learning for Scribal Hands of Linear B. CoRR (2021)
Fatemehsadat Mireshghallah, Taylor Berg-Kirkpatrick
Style Pooling: Automatic Text Style Obfuscation for Improved Classification Fairness. EMNLP (1) (2021)
Sachinda Edirisooriya, Hao-Wen Dong, Julian J. McAuley, Taylor Berg-Kirkpatrick
An Empirical Evaluation of End-to-End Polyphonic Optical Music Recognition. CoRR (2021)
Maria Ryskina, Eduard H. Hovy, Taylor Berg-Kirkpatrick, Matthew R. Gormley
Comparative Error Analysis in Neural and Finite-state Models for Unsupervised Character-level Transduction. CoRR (2021)
Junxian He, Graham Neubig, Taylor Berg-Kirkpatrick
Efficient Nearest Neighbor Language Models. EMNLP (1) (2021)
Harsh Jhamtani, Varun Gangal, Eduard H. Hovy, Taylor Berg-Kirkpatrick
Investigating Robustness of Dialog Models to Popular Figurative Language Constructs. CoRR (2021)
Nikita Srivatsan, Si Wu, Jonathan T. Barron, Taylor Berg-Kirkpatrick
Scalable Font Reconstruction with Dual Latent Manifolds. CoRR (2021)
Hao-Wen Dong, Chris Donahue, Taylor Berg-Kirkpatrick, Julian J. McAuley
Towards Automatic Instrumentation by Learning to Separate Parts in Symbolic Multitrack Music. ISMIR (2021)
Fatemehsadat Mireshghallah, Taylor Berg-Kirkpatrick
Style Pooling: Automatic Text Style Obfuscation for Improved Classification Fairness. CoRR (2021)
Ke Chen, Xingjian Du, Bilei Zhu, Zejun Ma, Taylor Berg-Kirkpatrick, Shlomo Dubnov
Zero-shot Audio Source Separation through Query-based Learning from Weakly-labeled Data. CoRR (2021)
Nikita Srivatsan, Jason Vega, Christina Skelton, Taylor Berg-Kirkpatrick
Neural Representation Learning for Scribal Hands of Linear B. ICDAR Workshops (2) (2021)
Harsh Jhamtani, Taylor Berg-Kirkpatrick
Truth-Conditional Captions for Time Series Data. EMNLP (1) (2021)
Fatemehsadat Mireshghallah, Vaishnavi Shrivastava, Milad Shokouhi, Taylor Berg-Kirkpatrick, Robert Sim, Dimitrios Dimitriadis
UserIdentifier: Implicit User Representations for Simple and Effective Personalized Sentiment Analysis. CoRR (2021)
Bodhisattwa Prasad Majumder, Taylor Berg-Kirkpatrick, Julian J. McAuley, Harsh Jhamtani
Unsupervised Enrichment of Persona-grounded Dialog with Background Stories. ACL/IJCNLP (2) (2021)
Harsh Jhamtani, Varun Gangal, Eduard H. Hovy, Taylor Berg-Kirkpatrick
Investigating Robustness of Dialog Models to Popular Figurative Language Constructs. EMNLP (1) (2021)
Bodhisattwa Prasad Majumder, Taylor Berg-Kirkpatrick, Julian J. McAuley, Harsh Jhamtani
Unsupervised Enrichment of Persona-grounded Dialog with Background Stories. CoRR (2021)
Varun Gangal, Harsh Jhamtani, Eduard H. Hovy, Taylor Berg-Kirkpatrick
Improving Automated Evaluation of Open Domain Dialog via Diverse Reference Augmentation. CoRR (2021)

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Publication Activity (10 Years)

Top Topics

Top Venues

Taylor Berg-Kirkpatrick