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2020 – today
- 2024
[c106]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: 14238-14254- [c105]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: 278-293 - [c104]Yasaman Jafari, Dheeraj Mekala, Rose Yu, Taylor Berg-Kirkpatrick:
MORL-Prompt: An Empirical Analysis of Multi-Objective Reinforcement Learning for Discrete Prompt Optimization. EMNLP (Findings) 2024: 9878-9889 - [c103]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: 1206-1210 - [c102]Danlu Chen
, Jacob Murel, Taimoor Shahid, Xiang Zhang, Jonathan Parkes Allen, Taylor Berg-Kirkpatrick, David A. Smith:
MONSTERMASH: Multidirectional, Overlapping, Nested, Spiral Text Extraction for Recognition Models of Arabic-Script Handwriting. ICDAR (Workshops 2) 2024: 87-101 - [c101]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. ICDAR (3) 2024: 374-390 - [c100]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 - [c99]Nikita Srivatsan, Sofía Samaniego, Omar Florez, Taylor Berg-Kirkpatrick:
Alt-Text with Context: Improving Accessibility for Images on Twitter. ICLR 2024 - [c98]Zachary Novack, Julian J. McAuley, Taylor Berg-Kirkpatrick, Nicholas J. Bryan:
DITTO: Diffusion Inference-Time T-Optimization for Music Generation. ICML 2024 - [c97]Nikita Srivatsan, Ke Chen, Shlomo Dubnov, Taylor Berg-Kirkpatrick:
Retrieval Guided Music Captioning via Multimodal Prefixes. IJCAI 2024: 7762-7770 - [c96]Shraddha Barke, Emmanuel Anaya Gonzalez, Saketh Ram Kasibatla, Taylor Berg-Kirkpatrick, Nadia Polikarpova:
HYSYNTH: Context-Free LLM Approximation for Guiding Program Synthesis. NeurIPS 2024 - [c95]Brendan Andrew Duncan, Surya Kallumadi, Taylor Berg-Kirkpatrick, Julian J. McAuley:
MAWI Rec: Leveraging Severe Weather Data in Recommendation. RecSys 2024: 850-854 - [d2]Danlu Chen, Aditi Agarwal, Taylor Berg-Kirkpatrick, Jacobo Myerston:
CuneiML: A Cuneiform Dataset. Zenodo, 2024
- [i100]Zachary Novack, Julian J. McAuley, Taylor Berg-Kirkpatrick, Nicholas J. Bryan:
DITTO: Diffusion Inference-Time T-Optimization for Music Generation. CoRR abs/2401.12179 (2024) - [i99]Yasaman Jafari, Dheeraj Mekala, Rose Yu, Taylor Berg-Kirkpatrick:
MORL-Prompt: An Empirical Analysis of Multi-Objective Reinforcement Learning for Discrete Prompt Optimization. CoRR abs/2402.11711 (2024) - [i98]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 abs/2405.00752 (2024) - [i97]Shraddha Barke, Emmanuel Anaya Gonzalez, Saketh Ram Kasibatla, Taylor Berg-Kirkpatrick, Nadia Polikarpova:
HYSYNTH: Context-Free LLM Approximation for Guiding Program Synthesis. CoRR abs/2405.15880 (2024) - [i96]Zachary Novack, Julian J. McAuley, Taylor Berg-Kirkpatrick, Nicholas J. Bryan:
DITTO-2: Distilled Diffusion Inference-Time T-Optimization for Music Generation. CoRR abs/2405.20289 (2024) - [i95]Kanghee Park, Jiayu Wang, Taylor Berg-Kirkpatrick, Nadia Polikarpova, Loris D'Antoni:
Grammar-Aligned Decoding. CoRR abs/2405.21047 (2024) - [i94]Danlu Chen, Freda Shi, Aditi Agarwal, Jacobo Myerston, Taylor Berg-Kirkpatrick:
LogogramNLP: Comparing Visual and Textual Representations of Ancient Logographic Writing Systems for NLP. CoRR abs/2408.04628 (2024) - [i93]Ke Chen, Jiaqi Su, Taylor Berg-Kirkpatrick, Shlomo Dubnov, Zeyu Jin:
Improving Generalization of Speech Separation in Real-World Scenarios: Strategies in Simulation, Optimization, and Evaluation. CoRR abs/2408.16126 (2024) - [i92]Phillip Long, Zachary Novack, Taylor Berg-Kirkpatrick, Julian J. McAuley:
PDMX: A Large-Scale Public Domain MusicXML Dataset for Symbolic Music Processing. CoRR abs/2409.10831 (2024) - [i91]Weihan Xu, Julian J. McAuley, Taylor Berg-Kirkpatrick, Shlomo Dubnov, Hao-Wen Dong:
Generating Symbolic Music from Natural Language Prompts using an LLM-Enhanced Dataset. CoRR abs/2410.02084 (2024) - [i90]Zachary Novack, Ge Zhu, Jonah Casebeer, Julian J. McAuley, Taylor Berg-Kirkpatrick, Nicholas J. Bryan:
Presto! Distilling Steps and Layers for Accelerating Music Generation. CoRR abs/2410.05167 (2024) - [i89]Weihan Xu, Paul Pu Liang, Haven Kim, Julian J. McAuley, Taylor Berg-Kirkpatrick, Hao-Wen Dong:
TeaserGen: Generating Teasers for Long Documentaries. CoRR abs/2410.05586 (2024) - [i88]Xiaohan Fu, Shuheng Li, Zihan Wang, Yihao Liu, Rajesh K. Gupta, Taylor Berg-Kirkpatrick, Earlence Fernandes:
Imprompter: Tricking LLM Agents into Improper Tool Use. CoRR abs/2410.14923 (2024) - [i87]Veeramakali Vignesh Manivannan, Yasaman Jafari, Srikar Eranky, Spencer Ho, Rose Yu, Duncan Watson-Parris, Yian Ma, Leon Bergen, Taylor Berg-Kirkpatrick:
ClimaQA: An Automated Evaluation Framework for Climate Foundation Models. CoRR abs/2410.16701 (2024) - [i86]Bohan Lyu, Yadi Cao, Duncan Watson-Parris, Leon Bergen, Taylor Berg-Kirkpatrick, Rose Yu:
Adapting While Learning: Grounding LLMs for Scientific Problems with Intelligent Tool Usage Adaptation. CoRR abs/2411.00412 (2024) - 2023
- [c94]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: 5285-5293 - [c93]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: 11330-11343 - [c92]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: 12044-12066 - [c91]Jarad Forristal, Fatemehsadat Mireshghallah, Greg Durrett, Taylor Berg-Kirkpatrick:
A Block Metropolis-Hastings Sampler for Controllable Energy-based Text Generation. CoNLL 2023: 403-413 - [c90]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: 7302-7311 - [c89]Hao-Wen Dong, Ke Chen, Shlomo Dubnov, Julian J. McAuley, Taylor Berg-Kirkpatrick:
Multitrack Music Transformer. ICASSP 2023: 1-5 - [c88]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: 1-5 - [c87]Danlu Chen, Nan Jiang, Taylor Berg-Kirkpatrick:
EEBO-Verse: Sifting for Poetry in Large Early Modern Corpora Using Visual Features. ICDAR (5) 2023: 36-52 - [c86]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 - [c85]Keren Shao, Ke Chen, Taylor Berg-Kirkpatrick, Shlomo Dubnov:
Towards Improving Harmonic Sensitivity and Prediction Stability for Singing Melody Extraction. ISMIR 2023: 657-663 - [c84]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: 1-5 - [c83]Brendan Andrew Duncan, Surya Kallumadi, Taylor Berg-Kirkpatrick, Julian J. McAuley:
Jointly modeling products and resource pages for task-oriented recommendation. WWW (Companion Volume) 2023: 432-436 - [i85]Tanmay Laud, Daniel Spokoyny, Tom Corringham, Taylor Berg-Kirkpatrick:
ClimaBench: A Benchmark Dataset For Climate Change Text Understanding in English. CoRR abs/2301.04253 (2023) - [i84]Qiuqiang Kong, Ke Chen, Haohe Liu, Xingjian Du, Taylor Berg-Kirkpatrick, Shlomo Dubnov, Mark D. Plumbley:
Universal Source Separation with Weakly Labelled Data. CoRR abs/2305.07447 (2023) - [i83]Fatemehsadat Mireshghallah, Justus Mattern, Sicun Gao, Reza Shokri, Taylor Berg-Kirkpatrick:
Smaller Language Models are Better Black-box Machine-Generated Text Detectors. CoRR abs/2305.09859 (2023) - [i82]Nikita Srivatsan, Sofía Samaniego, Omar Florez, Taylor Berg-Kirkpatrick:
Text Conditional Alt-Text Generation for Twitter Images. CoRR abs/2305.14779 (2023) - [i81]Justus Mattern, Fatemehsadat Mireshghallah, Zhijing Jin, Bernhard Schölkopf, Mrinmaya Sachan, Taylor Berg-Kirkpatrick:
Membership Inference Attacks against Language Models via Neighbourhood Comparison. CoRR abs/2305.18462 (2023) - [i80]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 abs/2306.07998 (2023) - [i79]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 abs/2306.09635 (2023) - [i78]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 abs/2308.01546 (2023) - [i77]Keren Shao, Ke Chen, Taylor Berg-Kirkpatrick, Shlomo Dubnov:
Towards Improving Harmonic Sensitivity and Prediction Stability for Singing Melody Extraction. CoRR abs/2308.02723 (2023) - [i76]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 abs/2310.03185 (2023) - [i75]Ivan Lee, Nan Jiang, Taylor Berg-Kirkpatrick:
Exploring the Relationship Between Model Architecture and In-Context Learning Ability. CoRR abs/2310.08049 (2023) - [i74]Zachary Novack, Nikita Srivatsan, Taylor Berg-Kirkpatrick, Julian J. McAuley:
Unsupervised Lead Sheet Generation via Semantic Compression. CoRR abs/2310.10772 (2023) - [i73]Ayesha Qamar, Chetan Verma, Ahmed El-Kishky, Sumit Binnani, Sneha Mehta, Taylor Berg-Kirkpatrick:
URL-BERT: Training Webpage Representations via Social Media Engagements. CoRR abs/2310.16303 (2023) - [i72]Jarad Forristal, Niloofar Mireshghallah, Greg Durrett, Taylor Berg-Kirkpatrick:
A Block Metropolis-Hastings Sampler for Controllable Energy-based Text Generation. CoRR abs/2312.04510 (2023) - 2022
- [c82]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: 4441-4449 - [c81]Fatemehsadat Mireshghallah, Kartik Goyal, Taylor Berg-Kirkpatrick:
Mix and Match: Learning-free Controllable Text Generationusing Energy Language Models. ACL (1) 2022: 401-415 - [c80]Bodhisattwa Prasad Majumder, Harsh Jhamtani, Taylor Berg-Kirkpatrick, Julian J. McAuley:
Achieving Conversational Goals with Unsupervised Post-hoc Knowledge Injection. ACL (1) 2022: 3140-3153 - [c79]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: 5440-5453 - [c78]John Wieting, Kevin Gimpel, Graham Neubig, Taylor Berg-Kirkpatrick:
Paraphrastic Representations at Scale. EMNLP (Demos) 2022: 379-388 - [c77]Fatemehsadat Mireshghallah, Archit Uniyal, Tianhao Wang, David E. Evans, Taylor Berg-Kirkpatrick:
An Empirical Analysis of Memorization in Fine-tuned Autoregressive Language Models. EMNLP 2022: 1816-1826 - [c76]Chunting Zhou, Junxian He, Xuezhe Ma, Taylor Berg-Kirkpatrick, Graham Neubig:
Prompt Consistency for Zero-Shot Task Generalization. EMNLP (Findings) 2022: 2613-2626 - [c75]Ivan Lee, Taylor Berg-Kirkpatrick:
HeLo: Learning-Free Lookahead Decoding for Conversation Infilling. EMNLP (Findings) 2022: 4996-5008 - [c74]Fatemehsadat Mireshghallah, Kartik Goyal, Archit Uniyal, Taylor Berg-Kirkpatrick, Reza Shokri:
Quantifying Privacy Risks of Masked Language Models Using Membership Inference Attacks. EMNLP 2022: 8332-8347 - [c73]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: 621-625 - [c72]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: 646-650 - [c71]Hao-Wen Dong, Cong Zhou, Taylor Berg-Kirkpatrick, Julian J. McAuley:
Deep Performer: Score-to-Audio Music Performance Synthesis. ICASSP 2022: 951-955 - [c70]Kartik Goyal, Chris Dyer, Taylor Berg-Kirkpatrick:
Exposing the Implicit Energy Networks behind Masked Language Models via Metropolis--Hastings. ICLR 2022 - [c69]Junxian He, Chunting Zhou, Xuezhe Ma, Taylor Berg-Kirkpatrick, Graham Neubig:
Towards a Unified View of Parameter-Efficient Transfer Learning. ICLR 2022 - [c68]Nikita Srivatsan, Taylor Berg-Kirkpatrick:
Checklist Models for Improved Output Fluency in Piano Fingering Prediction. ISMIR 2022: 525-531 - [c67]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: 726-732 - [c66]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: 17-29 - [c65]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: 206-216 - [c64]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: 3449-3456 - [i71]Nikolai Vogler, Songlin Li, Yujie Xu, Yujian Mi, Taylor Berg-Kirkpatrick:
An Unsupervised Masking Objective for Abstractive Multi-Document News Summarization. CoRR abs/2201.02321 (2022) - [i70]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 abs/2202.00874 (2022) - [i69]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 abs/2202.00951 (2022) - [i68]Hao-Wen Dong, Cong Zhou, Taylor Berg-Kirkpatrick, Julian J. McAuley:
Deep Performer: Score-to-Audio Music Performance Synthesis. CoRR abs/2202.06034 (2022) - [i67]Fatemehsadat Mireshghallah, Kartik Goyal, Archit Uniyal, Taylor Berg-Kirkpatrick, Reza Shokri:
Quantifying Privacy Risks of Masked Language Models Using Membership Inference Attacks. CoRR abs/2203.03929 (2022) - [i66]Bodhisattwa Prasad Majumder, Harsh Jhamtani, Taylor Berg-Kirkpatrick, Julian J. McAuley:
Achieving Conversational Goals with Unsupervised Post-hoc Knowledge Injection. CoRR abs/2203.11399 (2022) - [i65]Fatemehsadat Mireshghallah, Kartik Goyal, Taylor Berg-Kirkpatrick:
Mix and Match: Learning-free Controllable Text Generation using Energy Language Models. CoRR abs/2203.13299 (2022) - [i64]Chunting Zhou, Junxian He, Xuezhe Ma, Taylor Berg-Kirkpatrick, Graham Neubig:
Prompt Consistency for Zero-Shot Task Generalization. CoRR abs/2205.00049 (2022) - [i63]Fatemehsadat Mireshghallah, Archit Uniyal, Tianhao Wang, David Evans, Taylor Berg-Kirkpatrick:
Memorization in NLP Fine-tuning Methods. CoRR abs/2205.12506 (2022) - [i62]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 abs/2207.06983 (2022) - [i61]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 abs/2209.02871 (2022) - [i60]Nikita Srivatsan, Taylor Berg-Kirkpatrick:
Checklist Models for Improved Output Fluency in Piano Fingering Prediction. CoRR abs/2209.05622 (2022) - [i59]Fatemehsadat Mireshghallah, Nikolai Vogler, Junxian He, Omar Florez, Ahmed El-Kishky, Taylor Berg-Kirkpatrick:
Non-Parametric Temporal Adaptation for Social Media Topic Classification. CoRR abs/2209.05706 (2022) - [i58]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 abs/2211.06687 (2022) - [i57]Hao-Wen Dong, Naoya Takahashi, Yuki Mitsufuji, Julian J. McAuley, Taylor Berg-Kirkpatrick:
CLIPSep: Learning Text-queried Sound Separation with Noisy Unlabeled Videos. CoRR abs/2212.07065 (2022) - [i56]John Wieting, Jonathan H. Clark, William W. Cohen, Graham Neubig, Taylor Berg-Kirkpatrick:
Beyond Contrastive Learning: A Variational Generative Model for Multilingual Retrieval. CoRR abs/2212.10726 (2022) - 2021
- [c63]Bodhisattwa Prasad Majumder, Taylor Berg-Kirkpatrick, Julian J. McAuley, Harsh Jhamtani:
Unsupervised Enrichment of Persona-grounded Dialog with Background Stories. ACL/IJCNLP (2) 2021: 585-592 - [c62]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: 4079-4090 - [c61]Harsh Jhamtani, Taylor Berg-Kirkpatrick:
Truth-Conditional Captions for Time Series Data. EMNLP (1) 2021: 719-733 - [c60]Fatemehsadat Mireshghallah, Taylor Berg-Kirkpatrick:
Style Pooling: Automatic Text Style Obfuscation for Improved Classification Fairness. EMNLP (1) 2021: 2009-2022 - [c59]Nikita Srivatsan, Si Wu, Jonathan T. Barron, Taylor Berg-Kirkpatrick:
Scalable Font Reconstruction with Dual Latent Manifolds. EMNLP (1) 2021: 3060-3072 - [c58]Junxian He, Graham Neubig, Taylor Berg-Kirkpatrick:
Efficient Nearest Neighbor Language Models. EMNLP (1) 2021: 5703-5714 - [c57]Harsh Jhamtani, Varun Gangal, Eduard H. Hovy, Taylor Berg-Kirkpatrick:
Investigating Robustness of Dialog Models to Popular Figurative Language Constructs. EMNLP (1) 2021: 7476-7485 - [c56]Nikita Srivatsan, Jason Vega, Christina Skelton, Taylor Berg-Kirkpatrick:
Neural Representation Learning for Scribal Hands of Linear B. ICDAR Workshops (2) 2021: 325-338 - [c55]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: 159-166 - [c54]Sachinda Edirisooriya, Hao-Wen Dong, Julian J. McAuley, Taylor Berg-Kirkpatrick:
An Empirical Evaluation of End-to-End Polyphonic Optical Music Recognition. ISMIR 2021: 167-173 - [c53]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: 3799-3807 - [d1]Hao-Wen Dong, Cong Zhou, Taylor Berg-Kirkpatrick, Julian J. McAuley:
Bach Violin Dataset. Zenodo, 2021 - [i55]Fatemehsadat Mireshghallah, Huseyin A. Inan, Marcello Hasegawa, Victor Rühle, Taylor Berg-Kirkpatrick, Robert Sim:
Privacy Regularization: Joint Privacy-Utility Optimization in Language Models. CoRR abs/2103.07567 (2021) - [i54]Aashi Jain, Taylor Berg-Kirkpatrick:
An Empirical Study of Extrapolation in Text Generation with Scalar Control. CoRR abs/2104.07910 (2021) - [i53]John Wieting, Kevin Gimpel, Graham Neubig, Taylor Berg-Kirkpatrick:
Paraphrastic Representations at Scale. CoRR abs/2104.15114 (2021) - [i52]Kartik Goyal, Chris Dyer, Taylor Berg-Kirkpatrick:
Exposing the Implicit Energy Networks behind Masked Language Models via Metropolis-Hastings. CoRR abs/2106.02736 (2021) - [i51]Varun Gangal, Harsh Jhamtani, Eduard H. Hovy, Taylor Berg-Kirkpatrick:
Improving Automated Evaluation of Open Domain Dialog via Diverse Reference Augmentation. CoRR abs/2106.02833 (2021) - [i50]Bodhisattwa Prasad Majumder, Taylor Berg-Kirkpatrick, Julian J. McAuley, Harsh Jhamtani:
Unsupervised Enrichment of Persona-grounded Dialog with Background Stories. CoRR abs/2106.08364 (2021) - [i49]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 abs/2106.12698 (2021) - [i48]Hao-Wen Dong, Chris Donahue, Taylor Berg-Kirkpatrick, Julian J. McAuley:
Towards Automatic Instrumentation by Learning to Separate Parts in Symbolic Multitrack Music. CoRR abs/2107.05916 (2021) - [i47]Sachinda Edirisooriya, Hao-Wen Dong, Julian J. McAuley, Taylor Berg-Kirkpatrick:
An Empirical Evaluation of End-to-End Polyphonic Optical Music Recognition. CoRR abs/2108.01769 (2021) - [i46]Nikita Srivatsan, Jason Vega, Christina Skelton, Taylor Berg-Kirkpatrick:
Neural Representation Learning for Scribal Hands of Linear B. CoRR abs/2108.04199 (2021) - [i45]Junxian He, Graham Neubig, Taylor Berg-Kirkpatrick:
Efficient Nearest Neighbor Language Models. CoRR abs/2109.04212 (2021) - [i44]Fatemehsadat Mireshghallah, Taylor Berg-Kirkpatrick:
Style Pooling: Automatic Text Style Obfuscation for Improved Classification Fairness. CoRR abs/2109.04624 (2021) - [i43]Nikita Srivatsan, Si Wu, Jonathan T. Barron, Taylor Berg-Kirkpatrick:
Scalable Font Reconstruction with Dual Latent Manifolds. CoRR abs/2109.06627 (2021) - [i42]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 abs/2110.00135 (2021) - [i41]Harsh Jhamtani, Varun Gangal, Eduard H. Hovy, Taylor Berg-Kirkpatrick:
Investigating Robustness of Dialog Models to Popular Figurative Language Constructs. CoRR abs/2110.00687 (2021) - [i40]Harsh Jhamtani, Taylor Berg-Kirkpatrick:
Truth-Conditional Captioning of Time Series Data. CoRR abs/2110.01839 (2021) - [i39]Junxian He, Chunting Zhou, Xuezhe Ma, Taylor Berg-Kirkpatrick, Graham Neubig:
Towards a Unified View of Parameter-Efficient Transfer Learning. CoRR abs/2110.04366 (2021) - [i38]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 abs/2112.07891 (2021) - [i37]Daniel Spokoyny, Ivan Lee, Zhao Jin, Taylor Berg-Kirkpatrick:
Masked Measurement Prediction: Learning to Jointly Predict Quantities and Units from Textual Context. CoRR abs/2112.08616 (2021) - [i36]Nikolai Vogler, Jonathan Parkes Allen, Matthew Thomas Miller, Taylor Berg-Kirkpatrick:
Lacuna Reconstruction: Self-supervised Pre-training for Low-Resource Historical Document Transcription. CoRR abs/2112.08692 (2021) - 2020
- [c52]Kartik Goyal, Chris Dyer, Christopher N. Warren, Max G'Sell, Taylor Berg-Kirkpatrick:
A Probabilistic Generative Model for Typographical Analysis of Early Modern Printing. ACL 2020: 2954-2960 - [c51]Volkan Cirik, Taylor Berg-Kirkpatrick, Louis-Philippe Morency:
Refer360$^\circ$: A Referring Expression Recognition Dataset in 360$^\circ$ Images. ACL 2020: 7189-7202 - [c50]Maria Ryskina, Matthew R. Gormley, Taylor Berg-Kirkpatrick:
Phonetic and Visual Priors for Decipherment of Informal Romanization. ACL 2020: 8308-8319 - [c49]Harsh Jhamtani, Taylor Berg-Kirkpatrick:
Domain Adaptation via Context Prediction for Engineering Diagram Search. ECIR (2) 2020: 199-206 - [c48]John Wieting, Graham Neubig, Taylor Berg-Kirkpatrick:
A Bilingual Generative Transformer for Semantic Sentence Embedding. EMNLP (1) 2020: 1581-1594 - [c47]Harsh Jhamtani, Taylor Berg-Kirkpatrick:
Narrative Text Generation with a Latent Discrete Plan. EMNLP (Findings) 2020: 3637-3650 - [c46]Taylor Berg-Kirkpatrick, Daniel Spokoyny:
An Empirical Investigation of Contextualized Number Prediction. EMNLP (1) 2020: 4754-4764 - [c45]Bodhisattwa Prasad Majumder, Harsh Jhamtani, Taylor Berg-Kirkpatrick, Julian J. McAuley:
Like hiking? You probably enjoy nature: Persona-grounded Dialog with Commonsense Expansions. EMNLP (1) 2020: 9194-9206 - [c44]Junxian He, Xinyi Wang, Graham Neubig, Taylor Berg-Kirkpatrick:
A Probabilistic Formulation of Unsupervised Text Style Transfer. ICLR 2020 - [c43]Ke Chen, Cheng-i Wang, Taylor Berg-Kirkpatrick, Shlomo Dubnov:
Music SketchNet: Controllable Music Generation via Factorized Representations of Pitch and Rhythm. ISMIR 2020: 77-84 - [c42]Hao-Wen Dong, Ke Chen, Julian J. McAuley, Taylor Berg-Kirkpatrick:
MusPy: A Toolkit for Symbolic Music Generation. ISMIR 2020: 101-108 - [c41]Junxian He, Taylor Berg-Kirkpatrick, Graham Neubig:
Learning Sparse Prototypes for Text Generation. NeurIPS 2020 - [i35]Maria Ryskina, Ella Rabinovich, Taylor Berg-Kirkpatrick, David R. Mortensen, Yulia Tsvetkov:
Where New Words Are Born: Distributional Semantic Analysis of Neologisms and Their Semantic Neighborhoods. CoRR abs/2001.07740 (2020) - [i34]Junxian He, Xinyi Wang, Graham Neubig, Taylor Berg-Kirkpatrick:
A Probabilistic Formulation of Unsupervised Text Style Transfer. CoRR abs/2002.03912 (2020) - [i33]Kartik Goyal, Chris Dyer, Christopher N. Warren, Max G'Sell, Taylor Berg-Kirkpatrick:
A Probabilistic Generative Model for Typographical Analysis of Early Modern Printing. CoRR abs/2005.01646 (2020) - [i32]Maria Ryskina, Matthew R. Gormley, Taylor Berg-Kirkpatrick:
Phonetic and Visual Priors for Decipherment of Informal Romanization. CoRR abs/2005.02517 (2020) - [i31]Junxian He, Taylor Berg-Kirkpatrick, Graham Neubig:
Learning Sparse Prototypes for Text Generation. CoRR abs/2006.16336 (2020) - [i30]Ke Chen, Cheng-i Wang, Taylor Berg-Kirkpatrick, Shlomo Dubnov:
Music SketchNet: Controllable Music Generation via Factorized Representations of Pitch and Rhythm. CoRR abs/2008.01291 (2020) - [i29]Hao-Wen Dong, Ke Chen, Julian J. McAuley, Taylor Berg-Kirkpatrick:
MusPy: A Toolkit for Symbolic Music Generation. CoRR abs/2008.01951 (2020) - [i28]Bodhisattwa Prasad Majumder, Harsh Jhamtani, Taylor Berg-Kirkpatrick, Julian J. McAuley:
Like hiking? You probably enjoy nature: Persona-grounded Dialog with Commonsense Expansions. CoRR abs/2010.03205 (2020) - [i27]Harsh Jhamtani, Taylor Berg-Kirkpatrick:
Narrative Text Generation with a Latent Discrete Plan. CoRR abs/2010.03272 (2020) - [i26]Daniel Spokoyny, Taylor Berg-Kirkpatrick:
An Empirical Investigation of Contextualized Number Prediction. CoRR abs/2011.07961 (2020)
2010 – 2019
- 2019
- [c40]Junxian He, Zhisong Zhang, Taylor Berg-Kirkpatrick, Graham Neubig:
Cross-Lingual Syntactic Transfer through Unsupervised Adaptation of Invertible Projections. ACL (1) 2019: 3211-3223 - [c39]John Wieting, Taylor Berg-Kirkpatrick, Kevin Gimpel, Graham Neubig:
Beyond BLEU: Training Neural Machine Translation with Semantic Similarity. ACL (1) 2019: 4344-4355 - [c38]John Wieting, Kevin Gimpel, Graham Neubig, Taylor Berg-Kirkpatrick:
Simple and Effective Paraphrastic Similarity from Parallel Translations. ACL (1) 2019: 4602-4608 - [c37]Nikita Srivatsan, Jonathan T. Barron, Dan Klein, Taylor Berg-Kirkpatrick:
A Deep Factorization of Style and Structure in Fonts. EMNLP/IJCNLP (1) 2019: 2195-2205 - [c36]Bohan Li, Junxian He, Graham Neubig, Taylor Berg-Kirkpatrick, Yiming Yang:
A Surprisingly Effective Fix for Deep Latent Variable Modeling of Text. EMNLP/IJCNLP (1) 2019: 3601-3612 - [c35]Harsh Jhamtani, Sanket Vaibhav Mehta, Jaime G. Carbonell, Taylor Berg-Kirkpatrick:
Learning Rhyming Constraints using Structured Adversaries. EMNLP/IJCNLP (1) 2019: 6024-6030 - [c34]Junxian He, Daniel Spokoyny, Graham Neubig, Taylor Berg-Kirkpatrick:
Lagging Inference Networks and Posterior Collapse in Variational Autoencoders. ICLR (Poster) 2019 - [c33]Kartik Goyal, Chris Dyer, Taylor Berg-Kirkpatrick:
An Empirical Investigation of Global and Local Normalization for Recurrent Neural Sequence Models Using a Continuous Relaxation to Beam Search. NAACL-HLT (1) 2019: 1724-1733 - [i25]Junxian He, Daniel Spokoyny, Graham Neubig, Taylor Berg-Kirkpatrick:
Lagging Inference Networks and Posterior Collapse in Variational Autoencoders. CoRR abs/1901.05534 (2019) - [i24]Kartik Goyal, Chris Dyer, Taylor Berg-Kirkpatrick:
An Empirical Investigation of Global and Local Normalization for Recurrent Neural Sequence Models Using a Continuous Relaxation to Beam Search. CoRR abs/1904.06834 (2019) - [i23]Junxian He, Zhisong Zhang, Taylor Berg-Kirkpatrick, Graham Neubig:
Cross-Lingual Syntactic Transfer through Unsupervised Adaptation of Invertible Projections. CoRR abs/1906.02656 (2019) - [i22]Bohan Li, Junxian He, Graham Neubig, Taylor Berg-Kirkpatrick, Yiming Yang:
A Surprisingly Effective Fix for Deep Latent Variable Modeling of Text. CoRR abs/1909.00868 (2019) - [i21]John Wieting, Taylor Berg-Kirkpatrick, Kevin Gimpel, Graham Neubig:
Beyond BLEU: Training Neural Machine Translation with Semantic Similarity. CoRR abs/1909.06694 (2019) - [i20]Harsh Jhamtani, Sanket Vaibhav Mehta, Jaime G. Carbonell, Taylor Berg-Kirkpatrick:
Learning Rhyming Constraints using Structured Adversaries. CoRR abs/1909.06743 (2019) - [i19]John Wieting, Kevin Gimpel, Graham Neubig, Taylor Berg-Kirkpatrick:
Simple and Effective Paraphrastic Similarity from Parallel Translations. CoRR abs/1909.13872 (2019) - [i18]Nikita Srivatsan, Jonathan T. Barron, Dan Klein, Taylor Berg-Kirkpatrick:
A Deep Factorization of Style and Structure in Fonts. CoRR abs/1910.00748 (2019) - [i17]John Wieting, Graham Neubig, Taylor Berg-Kirkpatrick:
A Bilingual Generative Transformer for Semantic Sentence Embedding. CoRR abs/1911.03895 (2019) - 2018
- [c32]Kartik Goyal, Graham Neubig, Chris Dyer, Taylor Berg-Kirkpatrick:
A Continuous Relaxation of Beam Search for End-to-End Training of Neural Sequence Models. AAAI 2018: 3045-3052 - [c31]Anant Subramanian, Danish Pruthi, Harsh Jhamtani, Taylor Berg-Kirkpatrick, Eduard H. Hovy:
SPINE: SParse Interpretable Neural Embeddings. AAAI 2018: 4921-4928 - [c30]Volkan Cirik, Taylor Berg-Kirkpatrick, Louis-Philippe Morency:
Using Syntax to Ground Referring Expressions in Natural Images. AAAI 2018: 6756-6764 - [c29]Harsh Jhamtani, Varun Gangal, Eduard H. Hovy, Graham Neubig, Taylor Berg-Kirkpatrick:
Learning to Generate Move-by-Move Commentary for Chess Games from Large-Scale Social Forum Data. ACL (1) 2018: 1661-1671 - [c28]Junxian He, Graham Neubig, Taylor Berg-Kirkpatrick:
Unsupervised Learning of Syntactic Structure with Invertible Neural Projections. EMNLP 2018: 1292-1302 - [c27]Harsh Jhamtani, Taylor Berg-Kirkpatrick:
Learning to Describe Differences Between Pairs of Similar Images. EMNLP 2018: 4024-4034 - [c26]Nikita Srivatsan, Zachary Wojtowicz, Taylor Berg-Kirkpatrick:
Modeling Online Discourse with Coupled Distributed Topics. EMNLP 2018: 4673-4682 - [c25]Volkan Cirik, Louis-Philippe Morency, Taylor Berg-Kirkpatrick:
Visual Referring Expression Recognition: What Do Systems Actually Learn? NAACL-HLT (2) 2018: 781-787 - [c24]Daniel Fried, Ronghang Hu, Volkan Cirik, Anna Rohrbach, Jacob Andreas, Louis-Philippe Morency, Taylor Berg-Kirkpatrick, Kate Saenko, Dan Klein, Trevor Darrell:
Speaker-Follower Models for Vision-and-Language Navigation. NeurIPS 2018: 3318-3329 - [c23]Zichao Yang, Zhiting Hu, Chris Dyer, Eric P. Xing, Taylor Berg-Kirkpatrick:
Unsupervised Text Style Transfer using Language Models as Discriminators. NeurIPS 2018: 7298-7309 - [i16]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:
OPERA: Operations-oriented Probabilistic Extraction, Reasoning, and Analysis. TAC 2018 - [i15]Volkan Cirik, Taylor Berg-Kirkpatrick, Louis-Philippe Morency:
Using Syntax to Ground Referring Expressions in Natural Images. CoRR abs/1805.10547 (2018) - [i14]Zichao Yang, Zhiting Hu, Chris Dyer, Eric P. Xing, Taylor Berg-Kirkpatrick:
Unsupervised Text Style Transfer using Language Models as Discriminators. CoRR abs/1805.11749 (2018) - [i13]Volkan Cirik, Louis-Philippe Morency, Taylor Berg-Kirkpatrick:
Visual Referring Expression Recognition: What Do Systems Actually Learn? CoRR abs/1805.11818 (2018) - [i12]Daniel Fried, Ronghang Hu, Volkan Cirik, Anna Rohrbach, Jacob Andreas, Louis-Philippe Morency, Taylor Berg-Kirkpatrick, Kate Saenko, Dan Klein, Trevor Darrell:
Speaker-Follower Models for Vision-and-Language Navigation. CoRR abs/1806.02724 (2018) - [i11]Junxian He, Graham Neubig, Taylor Berg-Kirkpatrick:
Unsupervised Learning of Syntactic Structure with Invertible Neural Projections. CoRR abs/1808.09111 (2018) - [i10]Harsh Jhamtani, Taylor Berg-Kirkpatrick:
Learning to Describe Differences Between Pairs of Similar Images. CoRR abs/1808.10584 (2018) - [i9]Nikita Srivatsan, Zachary Wojtowicz, Taylor Berg-Kirkpatrick:
Modeling Online Discourse with Coupled Distributed Topics. CoRR abs/1809.07282 (2018) - 2017
- [c22]Kartik Goyal, Chris Dyer, Taylor Berg-Kirkpatrick:
Differentiable Scheduled Sampling for Credit Assignment. ACL (2) 2017: 366-371 - [c21]Maria Ryskina, Hannah Alpert-Abrams, Dan Garrette, Taylor Berg-Kirkpatrick:
Automatic Compositor Attribution in the First Folio of Shakespeare. ACL (2) 2017: 411-416 - [c20]Greg Durrett, Jonathan K. Kummerfeld, Taylor Berg-Kirkpatrick, Rebecca S. Portnoff, Sadia Afroz, Damon McCoy, Kirill Levchenko, Vern Paxson:
Identifying Products in Online Cybercrime Marketplaces: A Dataset for Fine-grained Domain Adaptation. EMNLP 2017: 2598-2607 - [c19]Zichao Yang, Zhiting Hu, Ruslan Salakhutdinov, Taylor Berg-Kirkpatrick:
Improved Variational Autoencoders for Text Modeling using Dilated Convolutions. ICML 2017: 3881-3890 - [c18]Junxian He, Zhiting Hu, Taylor Berg-Kirkpatrick, Ying Huang, Eric P. Xing:
Efficient Correlated Topic Modeling with Topic Embedding. KDD 2017: 225-233 - [c17]Rebecca S. Portnoff, Sadia Afroz, Greg Durrett, Jonathan K. Kummerfeld, Taylor Berg-Kirkpatrick, Damon McCoy, Kirill Levchenko, Vern Paxson:
Tools for Automated Analysis of Cybercriminal Markets. WWW 2017: 657-666 - [i8]Zichao Yang, Zhiting Hu, Ruslan Salakhutdinov, Taylor Berg-Kirkpatrick:
Improved Variational Autoencoders for Text Modeling using Dilated Convolutions. CoRR abs/1702.08139 (2017) - [i7]Kartik Goyal, Chris Dyer, Taylor Berg-Kirkpatrick:
Differentiable Scheduled Sampling for Credit Assignment. CoRR abs/1704.06970 (2017) - [i6]Maria Ryskina, Hannah Alpert-Abrams, Dan Garrette, Taylor Berg-Kirkpatrick:
Automatic Compositor Attribution in the First Folio of Shakespeare. CoRR abs/1704.07875 (2017) - [i5]Junxian He, Zhiting Hu, Taylor Berg-Kirkpatrick, Ying Huang, Eric P. Xing:
Efficient Correlated Topic Modeling with Topic Embedding. CoRR abs/1707.00206 (2017) - [i4]Kartik Goyal, Graham Neubig, Chris Dyer, Taylor Berg-Kirkpatrick:
A Continuous Relaxation of Beam Search for End-to-end Training of Neural Sequence Models. CoRR abs/1708.00111 (2017) - [i3]Greg Durrett, Jonathan K. Kummerfeld, Taylor Berg-Kirkpatrick, Rebecca S. Portnoff, Sadia Afroz, Damon McCoy, Kirill Levchenko, Vern Paxson:
Identifying Products in Online Cybercrime Marketplaces: A Dataset for Fine-grained Domain Adaptation. CoRR abs/1708.09609 (2017) - [i2]Anant Subramanian, Danish Pruthi, Harsh Jhamtani, Taylor Berg-Kirkpatrick, Eduard H. Hovy:
SPINE: SParse Interpretable Neural Embeddings. CoRR abs/1711.08792 (2017) - 2016
- [c16]Greg Durrett, Taylor Berg-Kirkpatrick, Dan Klein:
Learning-Based Single-Document Summarization with Compression and Anaphoricity Constraints. ACL (1) 2016 - [i1]Greg Durrett, Taylor Berg-Kirkpatrick, Dan Klein:
Learning-Based Single-Document Summarization with Compression and Anaphoricity Constraints. CoRR abs/1603.08887 (2016) - 2015
- [c15]Jonathan K. Kummerfeld, Taylor Berg-Kirkpatrick, Dan Klein:
An Empirical Analysis of Optimization for Max-Margin NLP. EMNLP 2015: 273-279 - [c14]Dan Garrette, Hannah Alpert-Abrams, Taylor Berg-Kirkpatrick, Dan Klein:
Unsupervised Code-Switching for Multilingual Historical Document Transcription. HLT-NAACL 2015: 1036-1041 - [c13]Taylor Berg-Kirkpatrick, Dan Klein:
GPU-Friendly Local Regression for Voice Conversion. HLT-NAACL 2015: 1334-1338 - 2014
- [c12]Taylor Berg-Kirkpatrick, Dan Klein:
Improved Typesetting Models for Historical OCR. ACL (2) 2014: 118-123 - [c11]David Hall, Taylor Berg-Kirkpatrick, Dan Klein:
Sparser, Better, Faster GPU Parsing. ACL (1) 2014: 208-217 - [c10]Taylor Berg-Kirkpatrick, Jacob Andreas, Dan Klein:
Unsupervised Transcription of Piano Music. NIPS 2014: 1538-1546 - 2013
- [c9]Taylor Berg-Kirkpatrick, Greg Durrett, Dan Klein:
Unsupervised Transcription of Historical Documents. ACL (1) 2013: 207-217 - [c8]Taylor Berg-Kirkpatrick, Dan Klein:
Decipherment with a Million Random Restarts. EMNLP 2013: 874-878 - [c7]Dirk Hovy, Taylor Berg-Kirkpatrick, Ashish Vaswani, Eduard H. Hovy:
Learning Whom to Trust with MACE. HLT-NAACL 2013: 1120-1130 - 2012
- [c6]Taylor Berg-Kirkpatrick, David Burkett, Dan Klein:
An Empirical Investigation of Statistical Significance in NLP. EMNLP-CoNLL 2012: 995-1005 - 2011
- [c5]Taylor Berg-Kirkpatrick, Dan Gillick, Dan Klein:
Jointly Learning to Extract and Compress. ACL 2011: 481-490 - [c4]Taylor Berg-Kirkpatrick, Dan Klein:
Simple Effective Decipherment via Combinatorial Optimization. EMNLP 2011: 313-321 - 2010
- [c3]Taylor Berg-Kirkpatrick, Dan Klein:
Phylogenetic Grammar Induction. ACL 2010: 1288-1297 - [c2]Taylor Berg-Kirkpatrick, Alexandre Bouchard-Côté, John DeNero, Dan Klein:
Painless Unsupervised Learning with Features. HLT-NAACL 2010: 582-590
2000 – 2009
- 2008
- [c1]Aria Haghighi, Percy Liang, Taylor Berg-Kirkpatrick, Dan Klein:
Learning Bilingual Lexicons from Monolingual Corpora. ACL 2008: 771-779
Coauthor Index
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