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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Page: 1 2 Hits 1 – 20 of 22 1 Winoground: Probing Vision and Language Models for Visio-Linguistic Compositionality ... Thrush, Tristan; Jiang, Ryan; Bartolo, Max. - : arXiv, 2022 BASE Show details 2 ANLIzing the Adversarial Natural Language Inference Dataset Williams, Adina; Thrush, Tristan; Kiela, Douwe In: Proceedings of the Society for Computation in Linguistics (2022) BASE Show details 3 Learning from the Worst: Dynamically Generated Datasets to Improve Online Hate Detection ... The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing 2021; Kiela, Douwe; Talat, Zeerak. - : Underline Science Inc., 2021 BASE Show details 4 FLAVA: A Foundational Language And Vision Alignment Model ... Singh, Amanpreet; Hu, Ronghang; Goswami, Vedanuj; Couairon, Guillaume; Galuba, Wojciech; Rohrbach, Marcus; Kiela, Douwe. - : arXiv, 2021 Abstract: State-of-the-art vision and vision-and-language models rely on large-scale visio-linguistic pretraining for obtaining good performance on a variety of downstream tasks. Generally, such models are often either cross-modal (contrastive) or multi-modal (with earlier fusion) but not both; and they often only target specific modalities or tasks. A promising direction would be to use a single holistic universal model, as a "foundation", that targets all modalities at once -- a true vision and language foundation model should be good at vision tasks, language tasks, and cross- and multi-modal vision and language tasks. We introduce FLAVA as such a model and demonstrate impressive performance on a wide range of 35 tasks spanning these target modalities. ... : 18 pages ... Keyword: Computation and Language cs.CL; Computer Vision and Pattern Recognition cs.CV; FOS Computer and information sciences URL: https://dx.doi.org/10.48550/arxiv.2112.04482 https://arxiv.org/abs/2112.04482 BASE Hide details 5 I like fish, especially dolphins: Addressing Contradictions in Dialogue Modeling ... The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing 2021; Bansal, Mohit; Kiela, Douwe. - : Underline Science Inc., 2021 BASE Show details 6 Improving Question Answering Model Robustness with Synthetic Adversarial Data Generation ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Bartolo, Max; Jia, Robin. - : Underline Science Inc., 2021 BASE Show details 7 Reservoir Transformers ... The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing 2021; Kiela, Douwe; Shen, Sheng. - : Underline Science Inc., 2021 BASE Show details 8 Gradient-based Adversarial Attacks against Text Transformers ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Guo, Chuan; Jégou, Hervé. - : Underline Science Inc., 2021 BASE Show details 9 DynaSent: A Dynamic Benchmark for Sentiment Analysis ... The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing 2021; Geiger, Atticus; Kiela, Douwe. - : Underline Science Inc., 2021 BASE Show details 10 On the Efficacy of Adversarial Data Collection for Question Answering: Results from a Large-Scale Randomized Study ... The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing 2021; Kaushik, Divyansh; Kiela, Douwe. - : Underline Science Inc., 2021 BASE Show details 11 Masked Language Modeling and the Distributional Hypothesis: Order Word Matters Pre-training for Little ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; ., Dieuwke; Jia, Robin. - : Underline Science Inc., 2021 BASE Show details 12 Deep Artificial Neural Networks Reveal a Distributed Cortical Network Encoding Propositional Sentence-Level Meaning Anderson, Andrew James; Kiela, Douwe; Binder, Jeffrey R.... In: J Neurosci (2021) BASE Show details 13 Emergent Linguistic Phenomena in Multi-Agent Communication Games ... Graesser, Laura; Cho, Kyunghyun; Kiela, Douwe. - : arXiv, 2019 BASE Show details 14 Inferring concept hierarchies from text corpora via hyperbolic embeddings ... Le, Matthew; Roller, Stephen; Papaxanthos, Laetitia. - : ETH Zurich, 2019 BASE Show details 15 Inferring concept hierarchies from text corpora via hyperbolic embeddings Roller, Stephen; Le, Matthew; Papaxanthos, Laetitia... In: Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics (ACL 2019) (2019) BASE Show details 16 Countering Language Drift via Visual Grounding ... Lee, Jason; Cho, Kyunghyun; Kiela, Douwe. - : arXiv, 2019 BASE Show details 17 Emergent Translation in Multi-Agent Communication ... Lee, Jason; Cho, Kyunghyun; Weston, Jason. - : arXiv, 2017 BASE Show details 18 Visually Grounded and Textual Semantic Models Differentially Decode Brain Activity Associated with Concrete and Abstract Nouns ... Anderson, AJ; Kiela, Douwe; Clark, Stephen. - : Apollo - University of Cambridge Repository, 2017 BASE Show details 19 Virtual Embodiment: A Scalable Long-Term Strategy for Artificial Intelligence Research ... Kiela, Douwe; Bulat, Luana; Vero, Anita L.. - : arXiv, 2016 BASE Show details 20 HyperLex: A Large-Scale Evaluation of Graded Lexical Entailment ... Vulić, Ivan; Gerz, Daniela; Kiela, Douwe. - : arXiv, 2016 BASE Show details Page: 1 2

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