Name
Affiliation
Papers
TAYLOR BERG-KIRKPATRICK
Computer Science Division|University of California , Berkeley
56
Collaborators
Citations 
PageRank 
86
554
35.93
Referers 
Referees 
References 
1194
991
522
Search Limit
1001000
Title
Citations
PageRank
Year
Towards a Unified View of Parameter-Efficient Transfer Learning00.342022
Masked Measurement Prediction: Learning to Jointly Predict Quantities and Units from Textual Context.00.342022
HOLM: Hallucinating Objects with Language Models for Referring Expression Recognition in Partially-Observed Scenes00.342022
Mix and Match: Learning-free Controllable Text Generation using Energy Language Models00.342022
Achieving Conversational Goals with Unsupervised Post-hoc Knowledge Injection00.342022
Improving Automated Evaluation of Open Domain Dialog via Diverse Reference Augmentation.00.342021
Privacy Regularization - Joint Privacy-Utility Optimization in LanguageModels.00.342021
Investigating Robustness of Dialog Models to Popular Figurative Language Constructs.00.342021
Efficient Nearest Neighbor Language Models.00.342021
A Probabilistic Formulation of Unsupervised Text Style Transfer10.352020
A Bilingual Generative Transformer for Semantic Sentence Embedding.00.342020
Refer360$\circ$ - A Referring Expression Recognition Dataset in 360$\circ$ Images.00.342020
Narrative Text Generation with a Latent Discrete Plan00.342020
Like hiking? You probably enjoy nature: Persona-grounded Dialog with Commonsense Expansions.00.342020
An Empirical Investigation of Contextualized Number Prediction.00.342020
Phonetic and Visual Priors for Decipherment of Informal Romanization00.342020
Learning Sparse Prototypes for Text Generation00.342020
A Surprisingly Effective Fix for Deep Latent Variable Modeling of Text10.372019
Learning Rhyming Constraints using Structured Adversaries00.342019
An Empirical Investigation of Global and Local Normalization for Recurrent Neural Sequence Models Using a Continuous Relaxation to Beam Search.00.342019
Lagging Inference Networks and Posterior Collapse in Variational Autoencoders.10.362019
A Deep Factorization of Style and Structure in Fonts00.342019
Unsupervised Text Style Transfer using Language Models as Discriminators.80.432018
Visual Referring Expression Recognition: What Do Systems Actually Learn?40.482018
Learning to Generate Move-by-Move Commentary for Chess Games from Large-Scale Social Forum Data.10.352018
Modeling Online Discourse with Coupled Distributed Topics.00.342018
Unsupervised Learning of Syntactic Structure with Invertible Neural Projections.00.342018
Learning to Describe Differences Between Pairs of Similar Images.00.342018
A Continuous Relaxation of Beam Search for End-to-End Training of Neural Sequence Models50.422018
Using Syntax to Ground Referring Expressions in Natural Images.90.462018
SPINE: SParse Interpretable Neural Embeddings.00.342018
Speaker-Follower Models for Vision-and-Language Navigation.120.492018
OPERA - Operations-oriented Probabilistic Extraction, Reasoning, and Analysis.00.342018
Efficient Correlated Topic Modeling with Topic Embedding50.402017
Tools for Automated Analysis of Cybercriminal Markets.120.542017
Differentiable Scheduled Sampling For Credit Assignment30.432017
Automatic Compositor Attribution In The First Folio Of Shakespeare00.342017
Improved Variational Autoencoders for Text Modeling using Dilated Convolutions.341.092017
Identifying Products in Online Cybercrime Marketplaces: A Dataset for Fine-grained Domain Adaptation.20.352017
Learning-Based Single-Document Summarization With Compression And Anaphoricity Constraints150.722016
An Empirical Analysis of Optimization for Max-Margin NLP90.552015
Unsupervised Code-Switching for Multilingual Historical Document Transcription.30.412015
GPU-Friendly Local Regression for Voice Conversion.00.342015
Improved Typesetting Models For Historical Ocr00.342014
Sparser, Better, Faster GPU Parsing.10.352014
Unsupervised Transcription of Piano Music.90.622014
Learning Whom to Trust with MACE.501.852013
Decipherment with a Million Random Restarts.30.452013
Unsupervised Transcription of Historical Documents.70.912013
An Empirical Investigation of Statistical Significance in NLP00.342012
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