Taylor Berg-Kirkpatrick

241 papers A* 42A 2B 1Misc 7Journal 121Unranked 68

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Continuous Diffusion Models Can Obey Formal Syntax. CoRR Jinwoo Kim, Taylor Berg-Kirkpatrick, Loris D'Antoni
2026	J	`jnl`	From sunblock to softblock: Analyzing the correlates of neology in published writing and on social media. CoRR Maria Ryskina, Matthew R. Gormley, Kyle Mahowald, David R. Mortensen, Taylor Berg-Kirkpatrick, Vivek Kulkarni
2026	J	`jnl`	Low-Resource Guidance for Controllable Latent Audio Diffusion. CoRR Zachary Novack, Zack Zukowski, CJ Carr, Julian Parker, Zach Evans, Josiah Taylor, Taylor Berg-Kirkpatrick, Julian J. McAuley, Jordi Pons
2026	J	`jnl`	Translation or Recitation? Calibrating Evaluation Scores for Machine Translation of Extremely Low-Resource Languages. CoRR Danlu Chen, Ka Sing He, Jiahe Tian, Chenghao Xiao, Zhaofeng Wu, Taylor Berg-Kirkpatrick, Freda Shi
2026	J	`jnl`	UReason: Benchmarking the Reasoning Paradox in Unified Multimodal Models. CoRR Cheng Yang, Chufan Shi, Bo Shui, Yaokang Wu, Muzi Tao, Huijuan Wang, Ivan Yee Lee, Yong Liu, Xuezhe Ma, Taylor Berg-Kirkpatrick
2025	A*	`conf`	Adapting While Learning: Grounding LLMs for Scientific Problems with Tool Usage Adaptation. ICML Bohan Lyu, Yadi Cao, Duncan Watson-Parris, Leon Bergen, Taylor Berg-Kirkpatrick, Rose Yu
2025	—	`conf`	Are you really listening? Boosting Perceptual Awareness in Music-QA Benchmarks. ISMIR Yongyi Zang, Sean O'Brien, Taylor Berg-Kirkpatrick, Julian J. McAuley, Zachary Novack
2025	J	`jnl`	Are you really listening? Boosting Perceptual Awareness in Music-QA Benchmarks. CoRR Yongyi Zang, Sean O'Brien, Taylor Berg-Kirkpatrick, Julian J. McAuley, Zachary Novack
2025	J	`jnl`	BACHI: Boundary-Aware Symbolic Chord Recognition Through Masked Iterative Decoding on Pop and Classical Music. CoRR Mingyang Yao, Ke Chen, Shlomo Dubnov, Taylor Berg-Kirkpatrick
2025	J	`jnl`	Bob's Confetti: Phonetic Memorization Attacks in Music and Video Generation. CoRR Jaechul Roh, Zachary Novack, Yuefeng Peng, Niloofar Mireshghallah, Taylor Berg-Kirkpatrick, Amir Houmansadr
2025	A*	`conf`	ClimaQA: An Automated Evaluation Framework for Climate Question Answering Models. ICLR Veeramakali Vignesh Manivannan, Yasaman Jafari, Srikar Eranky, Spencer Ho, Rose Yu, Duncan Watson-Parris, Yian Ma, Leon Bergen, Taylor Berg-Kirkpatrick
2025	J	`jnl`	Constrained Adaptive Rejection Sampling. CoRR Pawel Parys, Sairam Vaidya, Taylor Berg-Kirkpatrick, Loris D'Antoni
2025	J	`jnl`	Constrained Sampling for Language Models Should Be Easy: An MCMC Perspective. CoRR Emmanuel Anaya Gonzalez, Sairam Vaidya, Kanghee Park, Ruyi Ji, Taylor Berg-Kirkpatrick, Loris D'Antoni
2025	J	`jnl`	Deriving Representative Structure from Music Corpora. CoRR Ilana Shapiro, Ruanqianqian (Lisa) Huang, Zachary Novack, Cheng-i Wang, Hao-Wen Dong, Taylor Berg-Kirkpatrick, Shlomo Dubnov, Sorin Lerner
2025	—	`conf`	Fast Text-to-Audio Generation with Adversarial Post-Training. WASPAA Zachary Novack, Zach Evans, Zack Zukowski, Josiah Taylor, CJ Carr, Julian Parker, Adnan Al-Sinan, Gian Marco Iodice, Julian J. McAuley, Taylor Berg-Kirkpatrick, Jordi Pons
2025	J	`jnl`	Fast Text-to-Audio Generation with Adversarial Post-Training. CoRR Zachary Novack, Zach Evans, Zack Zukowski, Josiah Taylor, CJ Carr, Julian Parker, Adnan Al-Sinan, Gian Marco Iodice, Julian J. McAuley, Taylor Berg-Kirkpatrick, Jordi Pons
2025	—	`conf`	Generating Symbolic Music from Natural Language Prompts using an LLM-Enhanced Dataset. ISMIR Weihan Xu, Julian J. McAuley, Taylor Berg-Kirkpatrick, Shlomo Dubnov, Hao-Wen Dong
2025	J	`jnl`	MuseTok: Symbolic Music Tokenization for Generation and Semantic Understanding. CoRR Jingyue Huang, Zachary Novack, Phillip Long, Yupeng Hou, Ke Chen, Taylor Berg-Kirkpatrick, Julian J. McAuley
2025	J	`jnl`	Optical Context Compression Is Just (Bad) Autoencoding. CoRR Ivan Yee Lee, Cheng Yang, Taylor Berg-Kirkpatrick
2025	—	`conf`	Optimizing Hidden Markov Language Models: An Empirical Study of Reparameterization and Initialization Techniques. NAACL (Findings) Ivan Lee, Taylor Berg-Kirkpatrick
2025	Misc	`conf`	PDMX: A Large-Scale Public Domain MusicXML Dataset for Symbolic Music Processing. ICASSP Phillip Long, Zachary Novack, Taylor Berg-Kirkpatrick, Julian J. McAuley
2025	A*	`conf`	Presto! Distilling Steps and Layers for Accelerating Music Generation. ICLR Zachary Novack, Ge Zhu, Jonah Casebeer, Julian J. McAuley, Taylor Berg-Kirkpatrick, Nicholas J. Bryan
2025	J	`jnl`	REGen: Multimodal Retrieval-Embedded Generation for Long-to-Short Video Editing. CoRR Weihan Xu, Yimeng Ma, Jingyue Huang, Yang Li, Wenye Ma, Taylor Berg-Kirkpatrick, Julian J. McAuley, Paul Pu Liang, Hao-Wen Dong
2025	J	`jnl`	Readability ≠ Learnability: Rethinking the Role of Simplicity in Training Small Language Models. CoRR Ivan Lee, Taylor Berg-Kirkpatrick
2025	J	`jnl`	Single-Pass Document Scanning for Question Answering. CoRR Weili Cao, Jianyou Wang, Youze Zheng, Longtian Bao, Qirui Zheng, Taylor Berg-Kirkpatrick, Ramamohan Paturi, Leon Bergen
2025	J	`jnl`	Steering Autoregressive Music Generation with Recursive Feature Machines. CoRR Daniel Zhao, Daniel Beaglehole, Taylor Berg-Kirkpatrick, Julian J. McAuley, Zachary Novack
2025	A*	`conf`	Synthesizing Composite Hierarchical Structure from Symbolic Music Corpora. IJCAI Ilana Shapiro, Ruanqianqian (Lisa) Huang, Zachary Novack, Cheng-i Wang, Hao-Wen Dong, Taylor Berg-Kirkpatrick, Shlomo Dubnov, Sorin Lerner
2025	A*	`conf`	TeaserGen: Generating Teasers for Long Documentaries. ICLR Weihan Xu, Paul Pu Liang, Haven Kim, Julian J. McAuley, Taylor Berg-Kirkpatrick, Hao-Wen Dong
2025	J	`jnl`	The Surprising Soupability of Documents in State Space Models. CoRR Yasaman Jafari, Zixian Wang, Leon Bergen, Taylor Berg-Kirkpatrick
2025	J	`jnl`	Victim as a Service: Designing a System for Engaging with Interactive Scammers. CoRR Daniel Spokoyny, Nikolai Vogler, Xin Gao, Tianyi Zheng, Yufei Weng, JongHyun Park, Jiajun Jiao, Geoffrey M. Voelker, Stefan Savage, Taylor Berg-Kirkpatrick
2025	J	`jnl`	WildFX: A DAW-Powered Pipeline for In-the-Wild Audio FX Graph Modeling. CoRR Qihui Yang, Taylor Berg-Kirkpatrick, Julian J. McAuley, Zachary Novack
2025	J	`jnl`	Zephyrus: An Agentic Framework for Weather Science. CoRR Sumanth Varambally, Marshall Fisher, Jas Thakker, Yiwei Chen, Zhirui Xia, Yasaman Jafari, Ruijia Niu, Manas Jain, Veeramakali Vignesh Manivannan, Zachary Novack, Luyu Han, Srikar Eranky, Salva Rühling Cachay, Taylor Berg-Kirkpatrick, Duncan Watson-Parris, Yi-An Ma, Rose Yu
2024	J	`jnl`	Adapting While Learning: Grounding LLMs for Scientific Problems with Intelligent Tool Usage Adaptation. CoRR Bohan Lyu, Yadi Cao, Duncan Watson-Parris, Leon Bergen, Taylor Berg-Kirkpatrick, Rose Yu
2024	A*	`conf`	Alt-Text with Context: Improving Accessibility for Images on Twitter. ICLR Nikita Srivatsan, Sofía Samaniego, Omar Florez, Taylor Berg-Kirkpatrick
2024	J	`jnl`	ClimaQA: An Automated Evaluation Framework for Climate Foundation Models. CoRR Veeramakali Vignesh Manivannan, Yasaman Jafari, Srikar Eranky, Spencer Ho, Rose Yu, Duncan Watson-Parris, Yian Ma, Leon Bergen, Taylor Berg-Kirkpatrick
2024	—	`conf`	Clustering Running Titles to Understand the Printing of Early Modern Books. ICDAR (3) Nikolai Vogler, Kartik Goyal, Samuel V. Lemley, D. J. Schuldt, Christopher N. Warren, Max G'Sell, Taylor Berg-Kirkpatrick
2024	J	`jnl`	Clustering Running Titles to Understand the Printing of Early Modern Books. CoRR Nikolai Vogler, Kartik Goyal, Samuel V. Lemley, D. J. Schuldt, Christopher N. Warren, Max G'Sell, Taylor Berg-Kirkpatrick
2024	—	`conf`	DITTO-2: Distilled Diffusion Inference-Time T-Optimization for Music Generation. ISMIR Zachary Novack, Julian J. McAuley, Taylor Berg-Kirkpatrick, Nicholas J. Bryan
2024	J	`jnl`	DITTO-2: Distilled Diffusion Inference-Time T-Optimization for Music Generation. CoRR Zachary Novack, Julian J. McAuley, Taylor Berg-Kirkpatrick, Nicholas J. Bryan
2024	A*	`conf`	DITTO: Diffusion Inference-Time T-Optimization for Music Generation. ICML Zachary Novack, Julian J. McAuley, Taylor Berg-Kirkpatrick, Nicholas J. Bryan
2024	J	`jnl`	DITTO: Diffusion Inference-Time T-Optimization for Music Generation. CoRR Zachary Novack, Julian J. McAuley, Taylor Berg-Kirkpatrick, Nicholas J. Bryan
2024	J	`jnl`	Generating Symbolic Music from Natural Language Prompts using an LLM-Enhanced Dataset. CoRR Weihan Xu, Julian J. McAuley, Taylor Berg-Kirkpatrick, Shlomo Dubnov, Hao-Wen Dong
2024	A*	`conf`	Grammar-Aligned Decoding. NeurIPS Kanghee Park, Jiayu Wang, Taylor Berg-Kirkpatrick, Nadia Polikarpova, Loris D'Antoni
2024	J	`jnl`	Grammar-Aligned Decoding. CoRR Kanghee Park, Jiayu Wang, Taylor Berg-Kirkpatrick, Nadia Polikarpova, Loris D'Antoni
2024	A*	`conf`	HYSYNTH: Context-Free LLM Approximation for Guiding Program Synthesis. NeurIPS Shraddha Barke, Emmanuel Anaya Gonzalez, Saketh Ram Kasibatla, Taylor Berg-Kirkpatrick, Nadia Polikarpova
2024	J	`jnl`	HYSYNTH: Context-Free LLM Approximation for Guiding Program Synthesis. CoRR Shraddha Barke, Emmanuel Anaya Gonzalez, Saketh Ram Kasibatla, Taylor Berg-Kirkpatrick, Nadia Polikarpova
2024	J	`jnl`	Imprompter: Tricking LLM Agents into Improper Tool Use. CoRR Xiaohan Fu, Shuheng Li, Zihan Wang, Yihao Liu, Rajesh K. Gupta, Taylor Berg-Kirkpatrick, Earlence Fernandes
2024	A	`conf`	Improving Generalization of Speech Separation in Real-World Scenarios: Strategies in Simulation, Optimization, and Evaluation. INTERSPEECH Ke Chen, Jiaqi Su, Taylor Berg-Kirkpatrick, Shlomo Dubnov, Zeyu Jin
2024	J	`jnl`	Improving Generalization of Speech Separation in Real-World Scenarios: Strategies in Simulation, Optimization, and Evaluation. CoRR Ke Chen, Jiaqi Su, Taylor Berg-Kirkpatrick, Shlomo Dubnov, Zeyu Jin
2024	A*	`conf`	Is attention required for ICL? Exploring the Relationship Between Model Architecture and In-Context Learning Ability. ICLR Ivan Lee, Nan Jiang, Taylor Berg-Kirkpatrick
2024	—	`conf`	LogogramNLP: Comparing Visual and Textual Representations of Ancient Logographic Writing Systems for NLP. ACL (1) Danlu Chen, Freda Shi, Aditi Agarwal, Jacobo Myerston, Taylor Berg-Kirkpatrick
2024	J	`jnl`	LogogramNLP: Comparing Visual and Textual Representations of Ancient Logographic Writing Systems for NLP. CoRR Danlu Chen, Freda Shi, Aditi Agarwal, Jacobo Myerston, Taylor Berg-Kirkpatrick
2024	A	`conf`	MAWI Rec: Leveraging Severe Weather Data in Recommendation. RecSys Brendan Andrew Duncan, Surya Kallumadi, Taylor Berg-Kirkpatrick, Julian J. McAuley
2024	—	`conf`	MONSTERMASH: Multidirectional, Overlapping, Nested, Spiral Text Extraction for Recognition Models of Arabic-Script Handwriting. ICDAR (Workshops 2) Danlu Chen, Jacob Murel, Taimoor Shahid, Xiang Zhang, Jonathan Parkes Allen, Taylor Berg-Kirkpatrick, David A. Smith
2024	—	`conf`	MORL-Prompt: An Empirical Analysis of Multi-Objective Reinforcement Learning for Discrete Prompt Optimization. EMNLP (Findings) Yasaman Jafari, Dheeraj Mekala, Rose Yu, Taylor Berg-Kirkpatrick
2024	J	`jnl`	MORL-Prompt: An Empirical Analysis of Multi-Objective Reinforcement Learning for Discrete Prompt Optimization. CoRR Yasaman Jafari, Dheeraj Mekala, Rose Yu, Taylor Berg-Kirkpatrick
2024	Misc	`conf`	MusicLDM: Enhancing Novelty in text-to-music Generation Using Beat-Synchronous mixup Strategies. ICASSP Ke Chen, Yusong Wu, Haohe Liu, Marianna Nezhurina, Taylor Berg-Kirkpatrick, Shlomo Dubnov
2024	J	`jnl`	PDMX: A Large-Scale Public Domain MusicXML Dataset for Symbolic Music Processing. CoRR Phillip Long, Zachary Novack, Taylor Berg-Kirkpatrick, Julian J. McAuley
2024	J	`jnl`	Presto! Distilling Steps and Layers for Accelerating Music Generation. CoRR Zachary Novack, Ge Zhu, Jonah Casebeer, Julian J. McAuley, Taylor Berg-Kirkpatrick, Nicholas J. Bryan
2024	A*	`conf`	Retrieval Guided Music Captioning via Multimodal Prefixes. IJCAI Nikita Srivatsan, Ke Chen, Shlomo Dubnov, Taylor Berg-Kirkpatrick
2024	—	`conf`	Smaller Language Models are Better Zero-shot Machine-Generated Text Detectors. EACL (2) Niloofar Mireshghallah, Justus Mattern, Sicun Gao, Reza Shokri, Taylor Berg-Kirkpatrick
2024	J	`jnl`	TeaserGen: Generating Teasers for Long Documentaries. CoRR Weihan Xu, Paul Pu Liang, Haven Kim, Julian J. McAuley, Taylor Berg-Kirkpatrick, Hao-Wen Dong
2023	B	`conf`	A Block Metropolis-Hastings Sampler for Controllable Energy-based Text Generation. CoNLL Jarad Forristal, Fatemehsadat Mireshghallah, Greg Durrett, Taylor Berg-Kirkpatrick
2023	J	`jnl`	A Block Metropolis-Hastings Sampler for Controllable Energy-based Text Generation. CoRR Jarad Forristal, Niloofar Mireshghallah, Greg Durrett, Taylor Berg-Kirkpatrick
2023	—	`conf`	Beyond Contrastive Learning: A Variational Generative Model for Multilingual Retrieval. ACL (1) John Wieting, Jonathan H. Clark, William W. Cohen, Graham Neubig, Taylor Berg-Kirkpatrick
2023	A*	`conf`	CLIPSep: Learning Text-queried Sound Separation with Noisy Unlabeled Videos. ICLR Hao-Wen Dong, Naoya Takahashi, Yuki Mitsufuji, Julian J. McAuley, Taylor Berg-Kirkpatrick
2023	—	`conf`	CLIPSonic: Text-to-Audio Synthesis with Unlabeled Videos and Pretrained Language-Vision Models. WASPAA Hao-Wen Dong, Xiaoyu Liu, Jordi Pons, Gautam Bhattacharya, Santiago Pascual, Joan Serrà, Taylor Berg-Kirkpatrick, Julian J. McAuley
2023	J	`jnl`	CLIPSonic: Text-to-Audio Synthesis with Unlabeled Videos and Pretrained Language-Vision Models. CoRR Hao-Wen Dong, Xiaoyu Liu, Jordi Pons, Gautam Bhattacharya, Santiago Pascual, Joan Serrà, Taylor Berg-Kirkpatrick, Julian J. McAuley
2023	J	`jnl`	ClimaBench: A Benchmark Dataset For Climate Change Text Understanding in English. CoRR Tanmay Laud, Daniel Spokoyny, Tom Corringham, Taylor Berg-Kirkpatrick
2023	A*	`conf`	Contrastive Attention Networks for Attribution of Early Modern Print. AAAI Nikolai Vogler, Kartik Goyal, Kishore PV Reddy, Elizaveta Pertseva, Samuel V. Lemley, Christopher N. Warren, Max G'Sell, Taylor Berg-Kirkpatrick
2023	J	`jnl`	Contrastive Attention Networks for Attribution of Early Modern Print. CoRR Nikolai Vogler, Kartik Goyal, Kishore PV Reddy, Elizaveta Pertseva, Samuel V. Lemley, Christopher N. Warren, Max G'Sell, Taylor Berg-Kirkpatrick
2023	—	`conf`	EEBO-Verse: Sifting for Poetry in Large Early Modern Corpora Using Visual Features. ICDAR (5) Danlu Chen, Nan Jiang, Taylor Berg-Kirkpatrick
2023	J	`jnl`	Exploring the Relationship Between Model Architecture and In-Context Learning Ability. CoRR Ivan Lee, Nan Jiang, Taylor Berg-Kirkpatrick
2023	—	`conf`	Jointly modeling products and resource pages for task-oriented recommendation. WWW (Companion Volume) Brendan Andrew Duncan, Surya Kallumadi, Taylor Berg-Kirkpatrick, Julian J. McAuley
2023	Misc	`conf`	Large-Scale Contrastive Language-Audio Pretraining with Feature Fusion and Keyword-to-Caption Augmentation. ICASSP Yusong Wu, Ke Chen, Tianyu Zhang, Yuchen Hui, Taylor Berg-Kirkpatrick, Shlomo Dubnov
2023	—	`conf`	Membership Inference Attacks against Language Models via Neighbourhood Comparison. ACL (Findings) Justus Mattern, Fatemehsadat Mireshghallah, Zhijing Jin, Bernhard Schölkopf, Mrinmaya Sachan, Taylor Berg-Kirkpatrick
2023	J	`jnl`	Membership Inference Attacks against Language Models via Neighbourhood Comparison. CoRR Justus Mattern, Fatemehsadat Mireshghallah, Zhijing Jin, Bernhard Schölkopf, Mrinmaya Sachan, Taylor Berg-Kirkpatrick
2023	J	`jnl`	Misusing Tools in Large Language Models With Visual Adversarial Examples. CoRR Xiaohan Fu, Zihan Wang, Shuheng Li, Rajesh K. Gupta, Niloofar Mireshghallah, Taylor Berg-Kirkpatrick, Earlence Fernandes
2023	Misc	`conf`	Multitrack Music Transformer. ICASSP Hao-Wen Dong, Ke Chen, Shlomo Dubnov, Julian J. McAuley, Taylor Berg-Kirkpatrick
2023	J	`jnl`	MusicLDM: Enhancing Novelty in Text-to-Music Generation Using Beat-Synchronous Mixup Strategies. CoRR Ke Chen, Yusong Wu, Haohe Liu, Marianna Nezhurina, Taylor Berg-Kirkpatrick, Shlomo Dubnov
2023	A*	`conf`	Simple Temporal Adaptation to Changing Label Sets: Hashtag Prediction via Dense KNN. EMNLP Niloofar Mireshghallah, Nikolai Vogler, Junxian He, Omar Florez, Ahmed El-Kishky, Taylor Berg-Kirkpatrick
2023	J	`jnl`	Smaller Language Models are Better Black-box Machine-Generated Text Detectors. CoRR Fatemehsadat Mireshghallah, Justus Mattern, Sicun Gao, Reza Shokri, Taylor Berg-Kirkpatrick
2023	J	`jnl`	Text Conditional Alt-Text Generation for Twitter Images. CoRR Nikita Srivatsan, Sofía Samaniego, Omar Florez, Taylor Berg-Kirkpatrick
2023	—	`conf`	Towards Improving Harmonic Sensitivity and Prediction Stability for Singing Melody Extraction. ISMIR Keren Shao, Ke Chen, Taylor Berg-Kirkpatrick, Shlomo Dubnov
2023	J	`jnl`	Towards Improving Harmonic Sensitivity and Prediction Stability for Singing Melody Extraction. CoRR Keren Shao, Ke Chen, Taylor Berg-Kirkpatrick, Shlomo Dubnov
2023	J	`jnl`	URL-BERT: Training Webpage Representations via Social Media Engagements. CoRR Ayesha Qamar, Chetan Verma, Ahmed El-Kishky, Sumit Binnani, Sneha Mehta, Taylor Berg-Kirkpatrick
2023	J	`jnl`	Universal Source Separation with Weakly Labelled Data. CoRR Qiuqiang Kong, Ke Chen, Haohe Liu, Xingjian Du, Taylor Berg-Kirkpatrick, Shlomo Dubnov, Mark D. Plumbley
2023	J	`jnl`	Unsupervised Lead Sheet Generation via Semantic Compression. CoRR Zachary Novack, Nikita Srivatsan, Taylor Berg-Kirkpatrick, Julian J. McAuley
2022	—	`conf`	Achieving Conversational Goals with Unsupervised Post-hoc Knowledge Injection. ACL (1) Bodhisattwa Prasad Majumder, Harsh Jhamtani, Taylor Berg-Kirkpatrick, Julian J. McAuley
2022	J	`jnl`	Achieving Conversational Goals with Unsupervised Post-hoc Knowledge Injection. CoRR Bodhisattwa Prasad Majumder, Harsh Jhamtani, Taylor Berg-Kirkpatrick, Julian J. McAuley
2022	A*	`conf`	An Empirical Analysis of Memorization in Fine-tuned Autoregressive Language Models. EMNLP Fatemehsadat Mireshghallah, Archit Uniyal, Tianhao Wang, David E. Evans, Taylor Berg-Kirkpatrick
2022	J	`jnl`	An Unsupervised Masking Objective for Abstractive Multi-Document News Summarization. CoRR Nikolai Vogler, Songlin Li, Yujie Xu, Yujian Mi, Taylor Berg-Kirkpatrick
2022	J	`jnl`	Beyond Contrastive Learning: A Variational Generative Model for Multilingual Retrieval. CoRR John Wieting, Jonathan H. Clark, William W. Cohen, Graham Neubig, Taylor Berg-Kirkpatrick
2022	J	`jnl`	CLIPSep: Learning Text-queried Sound Separation with Noisy Unlabeled Videos. CoRR Hao-Wen Dong, Naoya Takahashi, Yuki Mitsufuji, Julian J. McAuley, Taylor Berg-Kirkpatrick
2022	—	`conf`	Checklist Models for Improved Output Fluency in Piano Fingering Prediction. ISMIR Nikita Srivatsan, Taylor Berg-Kirkpatrick
2022	J	`jnl`	Checklist Models for Improved Output Fluency in Piano Fingering Prediction. CoRR Nikita Srivatsan, Taylor Berg-Kirkpatrick
2022	Misc	`conf`	Deep Performer: Score-to-Audio Music Performance Synthesis. ICASSP Hao-Wen Dong, Cong Zhou, Taylor Berg-Kirkpatrick, Julian J. McAuley
2022	J	`jnl`	Deep Performer: Score-to-Audio Music Performance Synthesis. CoRR Hao-Wen Dong, Cong Zhou, Taylor Berg-Kirkpatrick, Julian J. McAuley
2022	A*	`conf`	Exposing the Implicit Energy Networks behind Masked Language Models via Metropolis--Hastings. ICLR Kartik Goyal, Chris Dyer, Taylor Berg-Kirkpatrick
2022	—	`conf`	HOLM: Hallucinating Objects with Language Models for Referring Expression Recognition in Partially-Observed Scenes. ACL (1) Volkan Cirik, Louis-Philippe Morency, Taylor Berg-Kirkpatrick
2022	Misc	`conf`	HTS-AT: A Hierarchical Token-Semantic Audio Transformer for Sound Classification and Detection. ICASSP Ke Chen, Xingjian Du, Bilei Zhu, Zejun Ma, Taylor Berg-Kirkpatrick, Shlomo Dubnov
2022	J	`jnl`	HTS-AT: A Hierarchical Token-Semantic Audio Transformer for Sound Classification and Detection. CoRR Ke Chen, Xingjian Du, Bilei Zhu, Zejun Ma, Taylor Berg-Kirkpatrick, Shlomo Dubnov
2022	—	`conf`	HeLo: Learning-Free Lookahead Decoding for Conversation Infilling. EMNLP (Findings) Ivan Lee, Taylor Berg-Kirkpatrick
2022	—	`conf`	Improving Choral Music Separation through Expressive Synthesized Data from Sampled Instruments. ISMIR Ke Chen, Hao-Wen Dong, Yi Luo, Julian J. McAuley, Taylor Berg-Kirkpatrick, Miller S. Puckette, Shlomo Dubnov
2022	J	`jnl`	Improving Choral Music Separation through Expressive Synthesized Data from Sampled Instruments. CoRR Ke Chen, Hao-Wen Dong, Yi Luo, Julian J. McAuley, Taylor Berg-Kirkpatrick, Miller S. Puckette, Shlomo Dubnov
2022	—	`conf`	Lacuna Reconstruction: Self-Supervised Pre-Training for Low-Resource Historical Document Transcription. NAACL-HLT (Findings) Nikolai Vogler, Jonathan Parkes Allen, Matthew Thomas Miller, Taylor Berg-Kirkpatrick
2022	J	`jnl`	Large-scale Contrastive Language-Audio Pretraining with Feature Fusion and Keyword-to-Caption Augmentation. CoRR Yusong Wu, Ke Chen, Tianyu Zhang, Yuchen Hui, Taylor Berg-Kirkpatrick, Shlomo Dubnov
2022	—	`conf`	Masked Measurement Prediction: Learning to Jointly Predict Quantities and Units from Textual Context. NAACL-HLT (Findings) Daniel Spokoyny, Ivan Lee, Zhao Jin, Taylor Berg-Kirkpatrick
2022	J	`jnl`	Memorization in NLP Fine-tuning Methods. CoRR Fatemehsadat Mireshghallah, Archit Uniyal, Tianhao Wang, David Evans, Taylor Berg-Kirkpatrick
2022	J	`jnl`	Mix and Match: Learning-free Controllable Text Generation using Energy Language Models. CoRR Fatemehsadat Mireshghallah, Kartik Goyal, Taylor Berg-Kirkpatrick
2022	—	`conf`	Mix and Match: Learning-free Controllable Text Generationusing Energy Language Models. ACL (1) Fatemehsadat Mireshghallah, Kartik Goyal, Taylor Berg-Kirkpatrick
2022	J	`jnl`	Multitrack Music Transformer: Learning Long-Term Dependencies in Music with Diverse Instruments. CoRR Hao-Wen Dong, Ke Chen, Shlomo Dubnov, Julian J. McAuley, Taylor Berg-Kirkpatrick
2022	J	`jnl`	Non-Parametric Temporal Adaptation for Social Media Topic Classification. CoRR Fatemehsadat Mireshghallah, Nikolai Vogler, Junxian He, Omar Florez, Ahmed El-Kishky, Taylor Berg-Kirkpatrick
2022	—	`conf`	Paraphrastic Representations at Scale. EMNLP (Demos) John Wieting, Kevin Gimpel, Graham Neubig, Taylor Berg-Kirkpatrick
2022	—	`conf`	Prompt Consistency for Zero-Shot Task Generalization. EMNLP (Findings) Chunting Zhou, Junxian He, Xuezhe Ma, Taylor Berg-Kirkpatrick, Graham Neubig
2022	J	`jnl`	Prompt Consistency for Zero-Shot Task Generalization. CoRR Chunting Zhou, Junxian He, Xuezhe Ma, Taylor Berg-Kirkpatrick, Graham Neubig
2022	A*	`conf`	Quantifying Privacy Risks of Masked Language Models Using Membership Inference Attacks. EMNLP Fatemehsadat Mireshghallah, Kartik Goyal, Archit Uniyal, Taylor Berg-Kirkpatrick, Reza Shokri
2022	J	`jnl`	Quantifying Privacy Risks of Masked Language Models Using Membership Inference Attacks. CoRR Fatemehsadat Mireshghallah, Kartik Goyal, Archit Uniyal, Taylor Berg-Kirkpatrick, Reza Shokri
2022	J	`jnl`	TONet: Tone-Octave Network for Singing Melody Extraction from Polyphonic Music. CoRR Ke Chen, Shuai Yu, Cheng-i Wang, Wei Li, Taylor Berg-Kirkpatrick, Shlomo Dubnov
2022	Misc	`conf`	Tonet: Tone-Octave Network for Singing Melody Extraction from Polyphonic Music. ICASSP Ke Chen, Shuai Yu, Cheng-i Wang, Wei Li, Taylor Berg-Kirkpatrick, Shlomo Dubnov
2022	A*	`conf`	Towards a Unified View of Parameter-Efficient Transfer Learning. ICLR Junxian He, Chunting Zhou, Xuezhe Ma, Taylor Berg-Kirkpatrick, Graham Neubig
2022	—	`conf`	UserIdentifier: Implicit User Representations for Simple and Effective Personalized Sentiment Analysis. NAACL-HLT Fatemehsadat Mireshghallah, Vaishnavi Shrivastava, Milad Shokouhi, Taylor Berg-Kirkpatrick, Robert Sim, Dimitrios Dimitriadis
2022	A*	`conf`	Zero-Shot Audio Source Separation through Query-Based Learning from Weakly-Labeled Data. AAAI Ke Chen, Xingjian Du, Bilei Zhu, Zejun Ma, Taylor Berg-Kirkpatrick, Shlomo Dubnov
2021	—	`conf`	An Empirical Evaluation of End-to-End Polyphonic Optical Music Recognition. ISMIR Sachinda Edirisooriya, Hao-Wen Dong, Julian J. McAuley, Taylor Berg-Kirkpatrick
2021	J	`jnl`	An Empirical Evaluation of End-to-End Polyphonic Optical Music Recognition. CoRR Sachinda Edirisooriya, Hao-Wen Dong, Julian J. McAuley, Taylor Berg-Kirkpatrick
2021	J	`jnl`	An Empirical Study of Extrapolation in Text Generation with Scalar Control. CoRR Aashi Jain, Taylor Berg-Kirkpatrick
2021	J	`jnl`	Comparative Error Analysis in Neural and Finite-state Models for Unsupervised Character-level Transduction. CoRR Maria Ryskina, Eduard H. Hovy, Taylor Berg-Kirkpatrick, Matthew R. Gormley
2021	—	`conf`	Efficient Nearest Neighbor Language Models. EMNLP (1) Junxian He, Graham Neubig, Taylor Berg-Kirkpatrick
2021	J	`jnl`	Efficient Nearest Neighbor Language Models. CoRR Junxian He, Graham Neubig, Taylor Berg-Kirkpatrick
2021	J	`jnl`	Exposing the Implicit Energy Networks behind Masked Language Models via Metropolis-Hastings. CoRR Kartik Goyal, Chris Dyer, Taylor Berg-Kirkpatrick
2021	—	`conf`	Improving Automated Evaluation of Open Domain Dialog via Diverse Reference Augmentation. ACL/IJCNLP (Findings) Varun Gangal, Harsh Jhamtani, Eduard H. Hovy, Taylor Berg-Kirkpatrick
2021	J	`jnl`	Improving Automated Evaluation of Open Domain Dialog via Diverse Reference Augmentation. CoRR Varun Gangal, Harsh Jhamtani, Eduard H. Hovy, Taylor Berg-Kirkpatrick
2021	—	`conf`	Investigating Robustness of Dialog Models to Popular Figurative Language Constructs. EMNLP (1) Harsh Jhamtani, Varun Gangal, Eduard H. Hovy, Taylor Berg-Kirkpatrick
2021	J	`jnl`	Investigating Robustness of Dialog Models to Popular Figurative Language Constructs. CoRR Harsh Jhamtani, Varun Gangal, Eduard H. Hovy, Taylor Berg-Kirkpatrick
2021	J	`jnl`	Lacuna Reconstruction: Self-supervised Pre-training for Low-Resource Historical Document Transcription. CoRR Nikolai Vogler, Jonathan Parkes Allen, Matthew Thomas Miller, Taylor Berg-Kirkpatrick
2021	J	`jnl`	Masked Measurement Prediction: Learning to Jointly Predict Quantities and Units from Textual Context. CoRR Daniel Spokoyny, Ivan Lee, Zhao Jin, Taylor Berg-Kirkpatrick
2021	—	`conf`	Neural Representation Learning for Scribal Hands of Linear B. ICDAR Workshops (2) Nikita Srivatsan, Jason Vega, Christina Skelton, Taylor Berg-Kirkpatrick
2021	J	`jnl`	Neural Representation Learning for Scribal Hands of Linear B. CoRR Nikita Srivatsan, Jason Vega, Christina Skelton, Taylor Berg-Kirkpatrick
2021	J	`jnl`	Paraphrastic Representations at Scale. CoRR John Wieting, Kevin Gimpel, Graham Neubig, Taylor Berg-Kirkpatrick
2021	J	`jnl`	Privacy Regularization: Joint Privacy-Utility Optimization in Language Models. CoRR Fatemehsadat Mireshghallah, Huseyin A. Inan, Marcello Hasegawa, Victor Rühle, Taylor Berg-Kirkpatrick, Robert Sim
2021	—	`conf`	Privacy Regularization: Joint Privacy-Utility Optimization in LanguageModels. NAACL-HLT Fatemehsadat Mireshghallah, Huseyin A. Inan, Marcello Hasegawa, Victor Rühle, Taylor Berg-Kirkpatrick, Robert Sim
2021	—	`conf`	Scalable Font Reconstruction with Dual Latent Manifolds. EMNLP (1) Nikita Srivatsan, Si Wu, Jonathan T. Barron, Taylor Berg-Kirkpatrick
2021	J	`jnl`	Scalable Font Reconstruction with Dual Latent Manifolds. CoRR Nikita Srivatsan, Si Wu, Jonathan T. Barron, Taylor Berg-Kirkpatrick
2021	—	`conf`	Style Pooling: Automatic Text Style Obfuscation for Improved Classification Fairness. EMNLP (1) Fatemehsadat Mireshghallah, Taylor Berg-Kirkpatrick
2021	J	`jnl`	Style Pooling: Automatic Text Style Obfuscation for Improved Classification Fairness. CoRR Fatemehsadat Mireshghallah, Taylor Berg-Kirkpatrick
2021	—	`conf`	Towards Automatic Instrumentation by Learning to Separate Parts in Symbolic Multitrack Music. ISMIR Hao-Wen Dong, Chris Donahue, Taylor Berg-Kirkpatrick, Julian J. McAuley
2021	J	`jnl`	Towards Automatic Instrumentation by Learning to Separate Parts in Symbolic Multitrack Music. CoRR Hao-Wen Dong, Chris Donahue, Taylor Berg-Kirkpatrick, Julian J. McAuley
2021	J	`jnl`	Towards a Unified View of Parameter-Efficient Transfer Learning. CoRR Junxian He, Chunting Zhou, Xuezhe Ma, Taylor Berg-Kirkpatrick, Graham Neubig
2021	J	`jnl`	Truth-Conditional Captioning of Time Series Data. CoRR Harsh Jhamtani, Taylor Berg-Kirkpatrick
2021	—	`conf`	Truth-Conditional Captions for Time Series Data. EMNLP (1) Harsh Jhamtani, Taylor Berg-Kirkpatrick
2021	—	`conf`	Unsupervised Enrichment of Persona-grounded Dialog with Background Stories. ACL/IJCNLP (2) Bodhisattwa Prasad Majumder, Taylor Berg-Kirkpatrick, Julian J. McAuley, Harsh Jhamtani
2021	J	`jnl`	Unsupervised Enrichment of Persona-grounded Dialog with Background Stories. CoRR Bodhisattwa Prasad Majumder, Taylor Berg-Kirkpatrick, Julian J. McAuley, Harsh Jhamtani
2021	J	`jnl`	UserIdentifier: Implicit User Representations for Simple and Effective Personalized Sentiment Analysis. CoRR Fatemehsadat Mireshghallah, Vaishnavi Shrivastava, Milad Shokouhi, Taylor Berg-Kirkpatrick, Robert Sim, Dimitrios Dimitriadis
2021	J	`jnl`	Zero-shot Audio Source Separation through Query-based Learning from Weakly-labeled Data. CoRR Ke Chen, Xingjian Du, Bilei Zhu, Zejun Ma, Taylor Berg-Kirkpatrick, Shlomo Dubnov
2020	—	`conf`	A Bilingual Generative Transformer for Semantic Sentence Embedding. EMNLP (1) John Wieting, Graham Neubig, Taylor Berg-Kirkpatrick
2020	A*	`conf`	A Probabilistic Formulation of Unsupervised Text Style Transfer. ICLR Junxian He, Xinyi Wang, Graham Neubig, Taylor Berg-Kirkpatrick
2020	J	`jnl`	A Probabilistic Formulation of Unsupervised Text Style Transfer. CoRR Junxian He, Xinyi Wang, Graham Neubig, Taylor Berg-Kirkpatrick
2020	A*	`conf`	A Probabilistic Generative Model for Typographical Analysis of Early Modern Printing. ACL Kartik Goyal, Chris Dyer, Christopher N. Warren, Max G'Sell, Taylor Berg-Kirkpatrick
2020	J	`jnl`	A Probabilistic Generative Model for Typographical Analysis of Early Modern Printing. CoRR Kartik Goyal, Chris Dyer, Christopher N. Warren, Max G'Sell, Taylor Berg-Kirkpatrick
2020	—	`conf`	An Empirical Investigation of Contextualized Number Prediction. EMNLP (1) Taylor Berg-Kirkpatrick, Daniel Spokoyny
2020	J	`jnl`	An Empirical Investigation of Contextualized Number Prediction. CoRR Daniel Spokoyny, Taylor Berg-Kirkpatrick
2020	—	`conf`	Domain Adaptation via Context Prediction for Engineering Diagram Search. ECIR (2) Harsh Jhamtani, Taylor Berg-Kirkpatrick
2020	A*	`conf`	Learning Sparse Prototypes for Text Generation. NeurIPS Junxian He, Taylor Berg-Kirkpatrick, Graham Neubig
2020	J	`jnl`	Learning Sparse Prototypes for Text Generation. CoRR Junxian He, Taylor Berg-Kirkpatrick, Graham Neubig
2020	—	`conf`	Like hiking? You probably enjoy nature: Persona-grounded Dialog with Commonsense Expansions. EMNLP (1) Bodhisattwa Prasad Majumder, Harsh Jhamtani, Taylor Berg-Kirkpatrick, Julian J. McAuley
2020	J	`jnl`	Like hiking? You probably enjoy nature: Persona-grounded Dialog with Commonsense Expansions. CoRR Bodhisattwa Prasad Majumder, Harsh Jhamtani, Taylor Berg-Kirkpatrick, Julian J. McAuley
2020	—	`conf`	MusPy: A Toolkit for Symbolic Music Generation. ISMIR Hao-Wen Dong, Ke Chen, Julian J. McAuley, Taylor Berg-Kirkpatrick
2020	J	`jnl`	MusPy: A Toolkit for Symbolic Music Generation. CoRR Hao-Wen Dong, Ke Chen, Julian J. McAuley, Taylor Berg-Kirkpatrick
2020	—	`conf`	Music SketchNet: Controllable Music Generation via Factorized Representations of Pitch and Rhythm. ISMIR Ke Chen, Cheng-i Wang, Taylor Berg-Kirkpatrick, Shlomo Dubnov
2020	J	`jnl`	Music SketchNet: Controllable Music Generation via Factorized Representations of Pitch and Rhythm. CoRR Ke Chen, Cheng-i Wang, Taylor Berg-Kirkpatrick, Shlomo Dubnov
2020	—	`conf`	Narrative Text Generation with a Latent Discrete Plan. EMNLP (Findings) Harsh Jhamtani, Taylor Berg-Kirkpatrick
2020	J	`jnl`	Narrative Text Generation with a Latent Discrete Plan. CoRR Harsh Jhamtani, Taylor Berg-Kirkpatrick
2020	A*	`conf`	Phonetic and Visual Priors for Decipherment of Informal Romanization. ACL Maria Ryskina, Matthew R. Gormley, Taylor Berg-Kirkpatrick
2020	J	`jnl`	Phonetic and Visual Priors for Decipherment of Informal Romanization. CoRR Maria Ryskina, Matthew R. Gormley, Taylor Berg-Kirkpatrick
2020	A*	`conf`	Refer360$^\circ$: A Referring Expression Recognition Dataset in 360$^\circ$ Images. ACL Volkan Cirik, Taylor Berg-Kirkpatrick, Louis-Philippe Morency
2020	J	`jnl`	Where New Words Are Born: Distributional Semantic Analysis of Neologisms and Their Semantic Neighborhoods. CoRR Maria Ryskina, Ella Rabinovich, Taylor Berg-Kirkpatrick, David R. Mortensen, Yulia Tsvetkov
2019	J	`jnl`	A Bilingual Generative Transformer for Semantic Sentence Embedding. CoRR John Wieting, Graham Neubig, Taylor Berg-Kirkpatrick
2019	—	`conf`	A Deep Factorization of Style and Structure in Fonts. EMNLP/IJCNLP (1) Nikita Srivatsan, Jonathan T. Barron, Dan Klein, Taylor Berg-Kirkpatrick
2019	J	`jnl`	A Deep Factorization of Style and Structure in Fonts. CoRR Nikita Srivatsan, Jonathan T. Barron, Dan Klein, Taylor Berg-Kirkpatrick
2019	—	`conf`	A Surprisingly Effective Fix for Deep Latent Variable Modeling of Text. EMNLP/IJCNLP (1) Bohan Li, Junxian He, Graham Neubig, Taylor Berg-Kirkpatrick, Yiming Yang
2019	J	`jnl`	A Surprisingly Effective Fix for Deep Latent Variable Modeling of Text. CoRR Bohan Li, Junxian He, Graham Neubig, Taylor Berg-Kirkpatrick, Yiming Yang
2019	—	`conf`	An Empirical Investigation of Global and Local Normalization for Recurrent Neural Sequence Models Using a Continuous Relaxation to Beam Search. NAACL-HLT (1) Kartik Goyal, Chris Dyer, Taylor Berg-Kirkpatrick
2019	J	`jnl`	An Empirical Investigation of Global and Local Normalization for Recurrent Neural Sequence Models Using a Continuous Relaxation to Beam Search. CoRR Kartik Goyal, Chris Dyer, Taylor Berg-Kirkpatrick
2019	—	`conf`	Beyond BLEU: Training Neural Machine Translation with Semantic Similarity. ACL (1) John Wieting, Taylor Berg-Kirkpatrick, Kevin Gimpel, Graham Neubig
2019	J	`jnl`	Beyond BLEU: Training Neural Machine Translation with Semantic Similarity. CoRR John Wieting, Taylor Berg-Kirkpatrick, Kevin Gimpel, Graham Neubig
2019	—	`conf`	Cross-Lingual Syntactic Transfer through Unsupervised Adaptation of Invertible Projections. ACL (1) Junxian He, Zhisong Zhang, Taylor Berg-Kirkpatrick, Graham Neubig
2019	J	`jnl`	Cross-Lingual Syntactic Transfer through Unsupervised Adaptation of Invertible Projections. CoRR Junxian He, Zhisong Zhang, Taylor Berg-Kirkpatrick, Graham Neubig
2019	—	`conf`	Lagging Inference Networks and Posterior Collapse in Variational Autoencoders. ICLR (Poster) Junxian He, Daniel Spokoyny, Graham Neubig, Taylor Berg-Kirkpatrick
2019	J	`jnl`	Lagging Inference Networks and Posterior Collapse in Variational Autoencoders. CoRR Junxian He, Daniel Spokoyny, Graham Neubig, Taylor Berg-Kirkpatrick
2019	—	`conf`	Learning Rhyming Constraints using Structured Adversaries. EMNLP/IJCNLP (1) Harsh Jhamtani, Sanket Vaibhav Mehta, Jaime G. Carbonell, Taylor Berg-Kirkpatrick
2019	J	`jnl`	Learning Rhyming Constraints using Structured Adversaries. CoRR Harsh Jhamtani, Sanket Vaibhav Mehta, Jaime G. Carbonell, Taylor Berg-Kirkpatrick
2019	—	`conf`	Simple and Effective Paraphrastic Similarity from Parallel Translations. ACL (1) John Wieting, Kevin Gimpel, Graham Neubig, Taylor Berg-Kirkpatrick
2019	J	`jnl`	Simple and Effective Paraphrastic Similarity from Parallel Translations. CoRR John Wieting, Kevin Gimpel, Graham Neubig, Taylor Berg-Kirkpatrick
2018	A*	`conf`	A Continuous Relaxation of Beam Search for End-to-End Training of Neural Sequence Models. AAAI Kartik Goyal, Graham Neubig, Chris Dyer, Taylor Berg-Kirkpatrick
2018	A*	`conf`	Learning to Describe Differences Between Pairs of Similar Images. EMNLP Harsh Jhamtani, Taylor Berg-Kirkpatrick
2018	J	`jnl`	Learning to Describe Differences Between Pairs of Similar Images. CoRR Harsh Jhamtani, Taylor Berg-Kirkpatrick
2018	—	`conf`	Learning to Generate Move-by-Move Commentary for Chess Games from Large-Scale Social Forum Data. ACL (1) Harsh Jhamtani, Varun Gangal, Eduard H. Hovy, Graham Neubig, Taylor Berg-Kirkpatrick
2018	A*	`conf`	Modeling Online Discourse with Coupled Distributed Topics. EMNLP Nikita Srivatsan, Zachary Wojtowicz, Taylor Berg-Kirkpatrick
2018	J	`jnl`	Modeling Online Discourse with Coupled Distributed Topics. CoRR Nikita Srivatsan, Zachary Wojtowicz, Taylor Berg-Kirkpatrick
2018	—	`conf`	OPERA: Operations-oriented Probabilistic Extraction, Reasoning, and Analysis. TAC Eduard H. Hovy, Taylor Berg-Kirkpatrick, Jaime G. Carbonell, Hans Chalupsky, Anatole Gershman, Alexander G. Hauptmann, Florian Metze, Teruko Mitamura, Aditi Chaudhary, Xianyang Chen, Bernie Po-Yao Huang, Hector Zhengzhong Liu, Xuezhe Ma, Shruti Palaskar, Dheeraj Rajagopal, Maria Ryskina, Ramon Sanabria
2018	A*	`conf`	SPINE: SParse Interpretable Neural Embeddings. AAAI Anant Subramanian, Danish Pruthi, Harsh Jhamtani, Taylor Berg-Kirkpatrick, Eduard H. Hovy
2018	A*	`conf`	Speaker-Follower Models for Vision-and-Language Navigation. NeurIPS Daniel Fried, Ronghang Hu, Volkan Cirik, Anna Rohrbach, Jacob Andreas, Louis-Philippe Morency, Taylor Berg-Kirkpatrick, Kate Saenko, Dan Klein, Trevor Darrell
2018	J	`jnl`	Speaker-Follower Models for Vision-and-Language Navigation. CoRR Daniel Fried, Ronghang Hu, Volkan Cirik, Anna Rohrbach, Jacob Andreas, Louis-Philippe Morency, Taylor Berg-Kirkpatrick, Kate Saenko, Dan Klein, Trevor Darrell
2018	A*	`conf`	Unsupervised Learning of Syntactic Structure with Invertible Neural Projections. EMNLP Junxian He, Graham Neubig, Taylor Berg-Kirkpatrick
2018	J	`jnl`	Unsupervised Learning of Syntactic Structure with Invertible Neural Projections. CoRR Junxian He, Graham Neubig, Taylor Berg-Kirkpatrick
2018	A*	`conf`	Unsupervised Text Style Transfer using Language Models as Discriminators. NeurIPS Zichao Yang, Zhiting Hu, Chris Dyer, Eric P. Xing, Taylor Berg-Kirkpatrick
2018	J	`jnl`	Unsupervised Text Style Transfer using Language Models as Discriminators. CoRR Zichao Yang, Zhiting Hu, Chris Dyer, Eric P. Xing, Taylor Berg-Kirkpatrick
2018	A*	`conf`	Using Syntax to Ground Referring Expressions in Natural Images. AAAI Volkan Cirik, Taylor Berg-Kirkpatrick, Louis-Philippe Morency
2018	J	`jnl`	Using Syntax to Ground Referring Expressions in Natural Images. CoRR Volkan Cirik, Taylor Berg-Kirkpatrick, Louis-Philippe Morency
2018	—	`conf`	Visual Referring Expression Recognition: What Do Systems Actually Learn? NAACL-HLT (2) Volkan Cirik, Louis-Philippe Morency, Taylor Berg-Kirkpatrick
2018	J	`jnl`	Visual Referring Expression Recognition: What Do Systems Actually Learn? CoRR Volkan Cirik, Louis-Philippe Morency, Taylor Berg-Kirkpatrick
2017	J	`jnl`	A Continuous Relaxation of Beam Search for End-to-end Training of Neural Sequence Models. CoRR Kartik Goyal, Graham Neubig, Chris Dyer, Taylor Berg-Kirkpatrick
2017	—	`conf`	Automatic Compositor Attribution in the First Folio of Shakespeare. ACL (2) Maria Ryskina, Hannah Alpert-Abrams, Dan Garrette, Taylor Berg-Kirkpatrick
2017	J	`jnl`	Automatic Compositor Attribution in the First Folio of Shakespeare. CoRR Maria Ryskina, Hannah Alpert-Abrams, Dan Garrette, Taylor Berg-Kirkpatrick
2017	—	`conf`	Differentiable Scheduled Sampling for Credit Assignment. ACL (2) Kartik Goyal, Chris Dyer, Taylor Berg-Kirkpatrick
2017	J	`jnl`	Differentiable Scheduled Sampling for Credit Assignment. CoRR Kartik Goyal, Chris Dyer, Taylor Berg-Kirkpatrick
2017	A*	`conf`	Efficient Correlated Topic Modeling with Topic Embedding. KDD Junxian He, Zhiting Hu, Taylor Berg-Kirkpatrick, Ying Huang, Eric P. Xing
2017	J	`jnl`	Efficient Correlated Topic Modeling with Topic Embedding. CoRR Junxian He, Zhiting Hu, Taylor Berg-Kirkpatrick, Ying Huang, Eric P. Xing
2017	A*	`conf`	Identifying Products in Online Cybercrime Marketplaces: A Dataset for Fine-grained Domain Adaptation. EMNLP Greg Durrett, Jonathan K. Kummerfeld, Taylor Berg-Kirkpatrick, Rebecca S. Portnoff, Sadia Afroz, Damon McCoy, Kirill Levchenko, Vern Paxson
2017	J	`jnl`	Identifying Products in Online Cybercrime Marketplaces: A Dataset for Fine-grained Domain Adaptation. CoRR Greg Durrett, Jonathan K. Kummerfeld, Taylor Berg-Kirkpatrick, Rebecca S. Portnoff, Sadia Afroz, Damon McCoy, Kirill Levchenko, Vern Paxson
2017	A*	`conf`	Improved Variational Autoencoders for Text Modeling using Dilated Convolutions. ICML Zichao Yang, Zhiting Hu, Ruslan Salakhutdinov, Taylor Berg-Kirkpatrick
2017	J	`jnl`	Improved Variational Autoencoders for Text Modeling using Dilated Convolutions. CoRR Zichao Yang, Zhiting Hu, Ruslan Salakhutdinov, Taylor Berg-Kirkpatrick
2017	J	`jnl`	SPINE: SParse Interpretable Neural Embeddings. CoRR Anant Subramanian, Danish Pruthi, Harsh Jhamtani, Taylor Berg-Kirkpatrick, Eduard H. Hovy
2017	A*	`conf`	Tools for Automated Analysis of Cybercriminal Markets. WWW Rebecca S. Portnoff, Sadia Afroz, Greg Durrett, Jonathan K. Kummerfeld, Taylor Berg-Kirkpatrick, Damon McCoy, Kirill Levchenko, Vern Paxson
2016	—	`conf`	Learning-Based Single-Document Summarization with Compression and Anaphoricity Constraints. ACL (1) Greg Durrett, Taylor Berg-Kirkpatrick, Dan Klein
2016	J	`jnl`	Learning-Based Single-Document Summarization with Compression and Anaphoricity Constraints. CoRR Greg Durrett, Taylor Berg-Kirkpatrick, Dan Klein
2015	A*	`conf`	An Empirical Analysis of Optimization for Max-Margin NLP. EMNLP Jonathan K. Kummerfeld, Taylor Berg-Kirkpatrick, Dan Klein
2015	—	`conf`	GPU-Friendly Local Regression for Voice Conversion. HLT-NAACL Taylor Berg-Kirkpatrick, Dan Klein
2015	—	`conf`	Unsupervised Code-Switching for Multilingual Historical Document Transcription. HLT-NAACL Dan Garrette, Hannah Alpert-Abrams, Taylor Berg-Kirkpatrick, Dan Klein
2014	—	`conf`	Improved Typesetting Models for Historical OCR. ACL (2) Taylor Berg-Kirkpatrick, Dan Klein
2014	—	`conf`	Sparser, Better, Faster GPU Parsing. ACL (1) David Hall, Taylor Berg-Kirkpatrick, Dan Klein
2014	—	`conf`	Unsupervised Transcription of Piano Music. NIPS Taylor Berg-Kirkpatrick, Jacob Andreas, Dan Klein
2013	A*	`conf`	Decipherment with a Million Random Restarts. EMNLP Taylor Berg-Kirkpatrick, Dan Klein
2013	—	`conf`	Learning Whom to Trust with MACE. HLT-NAACL Dirk Hovy, Taylor Berg-Kirkpatrick, Ashish Vaswani, Eduard H. Hovy
2013	—	`conf`	Unsupervised Transcription of Historical Documents. ACL (1) Taylor Berg-Kirkpatrick, Greg Durrett, Dan Klein
2012	—	`conf`	An Empirical Investigation of Statistical Significance in NLP. EMNLP-CoNLL Taylor Berg-Kirkpatrick, David Burkett, Dan Klein
2011	A*	`conf`	Jointly Learning to Extract and Compress. ACL Taylor Berg-Kirkpatrick, Dan Gillick, Dan Klein
2011	A*	`conf`	Simple Effective Decipherment via Combinatorial Optimization. EMNLP Taylor Berg-Kirkpatrick, Dan Klein
2010	—	`conf`	Painless Unsupervised Learning with Features. HLT-NAACL Taylor Berg-Kirkpatrick, Alexandre Bouchard-Côté, John DeNero, Dan Klein
2010	A*	`conf`	Phylogenetic Grammar Induction. ACL Taylor Berg-Kirkpatrick, Dan Klein
2008	A*	`conf`	Learning Bilingual Lexicons from Monolingual Corpora. ACL Aria Haghighi, Percy Liang, Taylor Berg-Kirkpatrick, Dan Klein