Keywords:
- Analysis of Neural Networks
- attention-based models
- autoencoders
- deep learning
- distributional semantics
- entailment
- evaluation
- generation
- hallucination detection
- Hierarchical Attention Networks
- human annotations
- language modeling
- latent space learning
- LLM
- Machine Translation
- Multilingual Learning
- multilinguality
- natural language
- natural language generation
- Natural language processing
- natural language semantics
- neural machine translation
- neural networks
- NLP
- Nonparametric Variational Information Bottleneck
- output representation learning
- Parsing
- QA
- representation learning
- style transfer
- Summarization
- Text classification
- Transformer
- transformers
- unsupervised learning
- VAE
- variable-size
- VIB
- word embedding
- word sense disambiguation
- Zero-shot Learning
Publications of James Henderson sorted by title
| 1 | 2 |
A
| A Corpus and Evaluation for Predicting Semi-Structured Human Annotations, , , , and , in: Workshop on Generation, Evaluation and Metrics (GEM), 2022 |
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| A VAE for Transformers with Nonparametric Variational Information Bottleneck, and , in: The Eleventh International Conference on Learning Representations, 2023 |
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| A Variational AutoEncoder for Transformers with Nonparametric Variational Information Bottleneck, and , in: arxiv, 2022 |
[DOI] [URL] |
B
| Bag-of-Vectors Autoencoders for Unsupervised Conditional Text Generation, and , Idiap-RR-21-2021 |
| Bag-of-Vectors Autoencoders for Unsupervised Conditional Text Generation, and , in: Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing (Volume 1: Long Papers), Association for Computational Linguistics, Online, pages 468–488, 2022 |
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| Beyond Weight Tying: Learning Joint Input-Output Embeddings for Neural Machine Translation, , and , in: Proceedings of the Third Conference on Machine Translation (WMT), 2018 |
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C
| Compacter: Efficient Low-Rank Hypercomplex Adapter Layers, , and , in: NeurIPS, 2021 |
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D
| Deep Residual Output Layers for Neural Language Generation, and , in: Proceedings of the 36th International Conference on Machine Learning (ICML), 2019 |
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| Document-Level Neural Machine Translation with Hierarchical Attention Networks, , , and , in: Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP), 2018 |
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E
| End-to-End Bias Mitigation by Modelling Biases in Corpora, , and , in: ACL, 2020 |
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G
| GILE: A Generalized Input-Label Embedding for Text Classification, and , in: Transactions of the Association for Computational Linguistics (TACL), 2019 |
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| Graph Refinement for Coreference Resolution, and , in: Findings of Association for >Computational Linguistics: ACL 2022, 2022 |
| Graph-to-Graph Transformer for Transition-based Dependency Parsing, and , in: Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, Association for Computational Linguistics, 2020 |
[URL] |
| Graph-to-Graph Transformer for Transition-based Dependency Parsing, and , in: Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing: Findings, ACL, Online, pages 3278–3289, Association for Computational Linguistics, 2020 |
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H
| HyperMixer: An MLP-based Green AI Alternative to Transformers, , , , , , and , in: arxiv, 2022 |
| HyperMixer: An MLP-based Low Cost Alternative to Transformers, , , , , , and , in: Proc. of the 61st Annual Meeting of the Association for Computational Linguistics, Association for Computational Linguistics, Toronto, Canada, pages 15632-15654, 2023 |
[DOI] |
I
| Idiap Scientific Report 2022, , , , , , , , , , , , , , , , , and , Idiap-RR-05-2023 |
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| Implicit discourse relation classification with syntax-aware contextualized word representations, , , and , in: Proceedings of the 32nd International Florida Artificial Intelligence Research Society Conference, 2019 |
| Imposing Relation Structure in Language-Model Embeddings Using Contrastive Learning, , , and , in: Proceedings of the 25th Conference on Computational Natural Language Learning, Online, pages 337-348, Association for Computational Linguistics, 2021 |
| Inducing Meaningful Units from Character Sequences with Dynamic Capacity Slot Attention, and , in: Transactions on Machine Learning Research, 2023 |
[URL] |
| Integrating Weakly Supervised Word Sense Disambiguation into Neural Machine Translation, , , and , in: Transactions of the Association for Computational Linguistics (TACL), 2018 |
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L
| Learning Entailment-Based Sentence Embeddings from Natural Language Inference, , and , Idiap-RR-20-2019 |
[URL] |
| Learning to Abstract with Nonparametric Variational Information Bottleneck, , and , in: The 2023 Conference on Empirical Methods in Natural Language Processing, 2023 |
[URL] |
M
| Multi-Adversarial Learning for Cross-Lingual Word Embeddings, , and , in: Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Online, pages 463-472, 2021 |
| Multilingual Extraction and Categorization of Lexical Collocations with Graph-aware Transformers, , , , and , in: Proceedings of the 11th Joint Conference on Lexical and Computational Semantics, Seattle, USA, pages 89–100, 2022 |
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N
| Nonparametric Variational Regularisation of Pretrained Transformers, and , in: ArXiv, 2023 |
[DOI] [URL] |
P
| Parameter-efficient Multi-task Fine-tuning for Transformers via Shared Hypernetworks, , , and , in: ACL, 2021 |
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| Partially-supervised Mention Detection, and , in: Proceedings of the Third Workshop on Computational Models of Reference, Anaphora and Coreference, 2020 |
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| PERFECT: Prompt-free and Efficient Few-shot Learning with Language Models, , , , , , and , in: ACL, 2022 |
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| Plug and Play Autoencoders for Conditional Text Generation, , , , and , Idiap-RR-24-2020 |
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| Plug and Play Autoencoders for Conditional Text Generation, , , , and , in: Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, Online, 2020 |
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R
| Recursive Non-Autoregressive Graph-to-Graph Transformer for Dependency Parsing with Iterative Refinement, and , in: Transactions of the Association for Computational Linguistics(under submission), 2020 |
| Recursive Non-Autoregressive Graph-to-Graph Transformer for Dependency Parsing with Iterative Refinement, and , in: Transactions of the Association for Computational Linguistics, 2020 |
[URL] |
| Recursive Non-Autoregressive Graph-to-Graph Transformer for Dependency Parsing with Iterative Refinement, and , in: Transactions of the Association for Computational Linguistics (2021), 9:18, 2021 |
[DOI] [URL] |
| 1 | 2 |