Sam Wiseman
31 papers · 2015–2024 · 9 conferences · across top CS/AI conferences
Achievements
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π Academic Marathon (9) π§ Keyword Pioneer π Interdisciplinary Bridge π Conference Polyglot (9) π Cross-Pollinator (11)
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Academic Marathon
(9)
πΊοΈ
Taxonomy Completionist
(60)
π
Interdisciplinary Bridge
π₯
Mega-Team
(29)
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Dynamic Duo
(10)
π§¬
Topic Evolution
π₯
Unstoppable
(10)
ποΈ
Keyword Collector
(123)
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Century Club
(31)
Conferences
EMNLP (11)
ACL (9)
COLING (2)
ICML (2)
IJCNLP (2)
NAACL (2)
AAAI (1)
ECCV (1)
NIPS (1)
Top co-authors
Keywords
neural network
(4)
coreference resolution
(3)
variational autoencoder
(3)
nearest neighbor
(3)
variational inference
(3)
text generation
(3)
zero-shot learning
(2)
discrete representation
(2)
entity tracking
(2)
data-to-text generation
(2)
amortized inference
(2)
generative model
(2)
multi-task learning
(2)
neural machine translation
(1)
data augmentation
(1)
machine translation
(1)
knowledge distillation
(1)
domain generalization
(1)
adversarial learning
(1)
attention mechanism
(1)
Papers
"MM1: Methods, Analysis & Insights from Multimodal LLM Pre-training"
ECCV 2024
Sequence Reducible Holdout Loss for Language Model Pretraining
COLING 2024
Exploring the Effect of Frequency Resolution in FNet
ACL 2023
The Mechanical Bard: An Interpretable Machine Learning Approach to Shakespearean Sonnet Generation
ACL 2023
Approximating CKY with Transformers
EMNLP 2023
Seq2seq is All You Need for Coreference Resolution
EMNLP 2023
Baked-in State Probing
EMNLP 2022
Chess as a Testbed for Language Model State Tracking
AAAI 2022
SummScreen: A Dataset for Abstractive Screenplay Summarization
ACL 2022
CREATIVESUMM: Shared Task on Automatic Summarization for Creative Writing
COLING 2022
On Generalization in Coreference Resolution
EMNLP 2021
Data-to-text Generation by Splicing Together Nearest Neighbors
EMNLP 2021
WikiTableT: A Large-Scale Data-to-Text Dataset for Generating Wikipedia Article Sections
IJCNLP 2021
WikiTableT: A Large-Scale Data-to-Text Dataset for Generating Wikipedia Article Sections
ACL 2021
Learning Discrete Structured Representations by Adversarially Maximizing Mutual Information
ICML 2020
ENGINE: Energy-Based Inference Networks for Non-Autoregressive Machine Translation
ACL 2020
Discrete Latent Variable Representations for Low-Resource Text Classification
ACL 2020
Learning to Ignore: Long Document Coreference with Bounded Memory Neural Networks
EMNLP 2020
Amortized Bethe Free Energy Minimization for Learning MRFs
NIPS 2019
Label-Agnostic Sequence Labeling by Copying Nearest Neighbors
ACL 2019
Controllable Paraphrase Generation with a Syntactic Exemplar
ACL 2019
A Multi-Task Approach for Disentangling Syntax and Semantics in Sentence Representations
NAACL 2019
Learning Neural Templates for Text Generation
EMNLP 2018
Entity Tracking Improves Cloze-style Reading Comprehension
EMNLP 2018
Semi-Amortized Variational Autoencoders
ICML 2018
Deep Latent Variable Models of Natural Language
EMNLP 2018
Challenges in Data-to-Document Generation
EMNLP 2017
Sequence-to-Sequence Learning as Beam-Search Optimization
EMNLP 2016
Learning Global Features for Coreference Resolution
NAACL 2016
Learning Anaphoricity and Antecedent Ranking Features for Coreference Resolution
IJCNLP 2015
Learning Anaphoricity and Antecedent Ranking Features for Coreference Resolution
ACL 2015