Linguistic generalization and compositionality in modern artificial neural networks

30 March 2019

Papers citing "Linguistic generalization and compositionality in modern artificial neural networks"

22 / 72 papers shown

Title
Disentangling Syntax and Semantics in the Brain with Deep Networks Charlotte Caucheteux Alexandre Gramfort J. King 36 70 0 02 Mar 2021
The Role of Syntactic Planning in Compositional Image Captioning Emanuele Bugliarello Desmond Elliott CoGe 28 13 0 28 Jan 2021
Exploring Transitivity in Neural NLI Models through Veridicality Hitomi Yanaka K. Mineshima Kentaro Inui 28 23 0 26 Jan 2021
On (Emergent) Systematic Generalisation and Compositionality in Visual Referential Games with Straight-Through Gumbel-Softmax Estimator Kevin Denamganai James Alfred Walker 21 10 0 19 Dec 2020
ReferentialGym: A Nomenclature and Framework for Language Emergence & Grounding in (Visual) Referential Games Kevin Denamganai James Alfred Walker 14 6 0 17 Dec 2020
Towards Coinductive Models for Natural Language Understanding. Bringing together Deep Learning and Deep Semantics Wlodek Zadrozny AI4CE 24 1 0 09 Dec 2020
What Meaning-Form Correlation Has to Compose With Timothee Mickus Timothée Bernard Denis Paperno 42 4 0 07 Dec 2020
Recurrent babbling: evaluating the acquisition of grammar from limited input data Ludovica Pannitto Aurélie Herbelot 27 13 0 09 Oct 2020
Measuring Systematic Generalization in Neural Proof Generation with Transformers Nicolas Angelard-Gontier Koustuv Sinha Siva Reddy C. Pal LRM 14 64 0 30 Sep 2020
Explainability in Deep Reinforcement Learning Alexandre Heuillet Fabien Couthouis Natalia Díaz Rodríguez XAI 16 279 0 15 Aug 2020
KQA Pro: A Dataset with Explicit Compositional Programs for Complex Question Answering over Knowledge Base S. Cao Jiaxin Shi Liangming Pan L. Nie Yutong Xiang Lei Hou Juanzi Li Bin He Hanwang Zhang LMTD CoGe 45 100 0 08 Jul 2020
Compositional Generalization by Learning Analytical Expressions Qian Liu Shengnan An Jian-Guang Lou Bei Chen Zeqi Lin Yan Gao Bin Zhou Nanning Zheng Dongmei Zhang CoGe NAI 20 72 0 18 Jun 2020
CiwGAN and fiwGAN: Encoding information in acoustic data to model lexical learning with Generative Adversarial Networks Gašper Beguš GAN 6 34 0 04 Jun 2020
The Unreasonable Volatility of Neural Machine Translation Models Marzieh Fadaee Christof Monz 28 16 0 25 May 2020
Emergence of Syntax Needs Minimal Supervision Raphaël Bailly Kata Gábor 36 5 0 03 May 2020
Structural Inductive Biases in Emergent Communication Agnieszka Słowik Abhinav Gupta William L. Hamilton M. Jamnik S. Holden C. Pal AI4CE 43 5 0 04 Feb 2020
Probing the phonetic and phonological knowledge of tones in Mandarin TTS models Jian Zhu 21 8 0 23 Dec 2019
Composing and Embedding the Words-as-Classifiers Model of Grounded Semantics Daniele Moro Stacy Black C. Kennington 22 4 0 08 Nov 2019
Capacity, Bandwidth, and Compositionality in Emergent Language Learning Cinjon Resnick Abhinav Gupta Jakob N. Foerster Andrew M. Dai Kyunghyun Cho 31 51 0 24 Oct 2019
Is the Red Square Big? MALeViC: Modeling Adjectives Leveraging Visual Contexts Sandro Pezzelle Raquel Fernández VLM 19 18 0 27 Aug 2019
On learning an interpreted language with recurrent models Denis Paperno 19 4 0 11 Sep 2018
Building machines that adapt and compute like brains Brenden M. Lake J. Tenenbaum AI4CE FedML NAI AILaw 254 888 0 11 Nov 2017