Generalization without systematicity: On the compositional skills of sequence-to-sequence recurrent networks

31 October 2017

Papers citing "Generalization without systematicity: On the compositional skills of sequence-to-sequence recurrent networks"

48 / 48 papers shown

Title
Sequential Compositional Generalization in Multimodal Models Semih Yagcioglu Osman Batur .Ince Aykut Erdem Erkut Erdem Desmond Elliott Deniz Yuret 41 1 0 18 Apr 2024
Attribute Diversity Determines the Systematicity Gap in VQA Ian Berlot-Attwell Kumar Krishna Agrawal A. M. Carrell Yash Sharma Naomi Saphra 31 1 0 15 Nov 2023
Harnessing Dataset Cartography for Improved Compositional Generalization in Transformers Osman Batur .Ince Tanin Zeraati Semih Yagcioglu Yadollah Yaghoobzadeh Erkut Erdem Aykut Erdem 24 1 0 18 Oct 2023
Reasoning with Language Model Prompting: A Survey Shuofei Qiao Yixin Ou Ningyu Zhang Xiang Chen Yunzhi Yao Shumin Deng Chuanqi Tan Fei Huang Huajun Chen ReLM ELM LRM 71 311 0 19 Dec 2022
Translate First Reorder Later: Leveraging Monotonicity in Semantic Parsing Francesco Cazzaro Davide Locatelli A. Quattoni X. Carreras 35 4 0 10 Oct 2022
Are Representations Built from the Ground Up? An Empirical Examination of Local Composition in Language Models Emmy Liu Graham Neubig CoGe 21 10 0 07 Oct 2022
Disentangling Abstraction from Statistical Pattern Matching in Human and Machine Learning Sreejan Kumar Ishita Dasgupta Nathaniel D. Daw Jonathan Cohen Thomas Griffiths 35 10 0 04 Apr 2022
Meta-Reinforcement Learning with Self-Modifying Networks Mathieu Chalvidal Thomas Serre Rufin VanRullen KELM 24 5 0 04 Feb 2022
Distinguishing rule- and exemplar-based generalization in learning systems Ishita Dasgupta Erin Grant Thomas Griffiths 18 13 0 08 Oct 2021
Leveraging the Inductive Bias of Large Language Models for Abstract Textual Reasoning Christopher Rytting David Wingate AI4CE LRM 13 26 0 05 Oct 2021
Symbolic Brittleness in Sequence Models: on Systematic Generalization in Symbolic Mathematics Sean Welleck Peter West Jize Cao Yejin Choi 26 28 0 28 Sep 2021
Updater-Extractor Architecture for Inductive World State Representations A. Moskvichev James Liu 14 4 0 12 Apr 2021
Taking Principles Seriously: A Hybrid Approach to Value Alignment Tae Wan Kim J. N. Hooker T. Donaldson 18 32 0 21 Dec 2020
A Memory-Augmented Neural Network Model of Abstract Rule Learning I. Sinha Taylor Webb Jonathan Cohen 21 5 0 13 Dec 2020
Learning Associative Inference Using Fast Weight Memory Imanol Schlag Tsendsuren Munkhdalai Jürgen Schmidhuber KELM 30 44 0 16 Nov 2020
On Task-Level Dialogue Composition of Generative Transformer Model Prasanna Parthasarathi Arvind Neelakantan Sharan Narang 19 2 0 09 Oct 2020
Compositional Networks Enable Systematic Generalization for Grounded Language Understanding Yen-Ling Kuo Boris Katz Andrei Barbu 34 22 0 06 Aug 2020
Investigating Efficient Learning and Compositionality in Generative LSTM Networks Sarah Fabi S. Otte J. G. Wiese Martin Volker Butz 13 6 0 16 Apr 2020
A Benchmark for Systematic Generalization in Grounded Language Understanding Laura Ruis Jacob Andreas Marco Baroni Diane Bouchacourt Brenden M. Lake 19 138 0 11 Mar 2020
On the impressive performance of randomly weighted encoders in summarization tasks Jonathan Pilault Jaehong Park C. Pal BDL 33 5 0 21 Feb 2020
The Next Decade in AI: Four Steps Towards Robust Artificial Intelligence G. Marcus VLM 32 355 0 14 Feb 2020
Parameterizing Branch-and-Bound Search Trees to Learn Branching Policies Giulia Zarpellon Jason Jo Andrea Lodi Yoshua Bengio 24 96 0 12 Feb 2020
Node Masking: Making Graph Neural Networks Generalize and Scale Better Pushkar Mishra Aleksandra Piktus Gerard Goossen Fabrizio Silvestri AI4CE 32 14 0 17 Jan 2020
Location Attention for Extrapolation to Longer Sequences Yann Dubois Gautier Dagan Dieuwke Hupkes Elia Bruni 23 40 0 10 Nov 2019
On Compositionality in Neural Machine Translation Vikas Raunak Vaibhav Kumar Florian Metze 13 17 0 04 Nov 2019
Posing Fair Generalization Tasks for Natural Language Inference Atticus Geiger Ignacio Cases L. Karttunen Christopher Potts 19 48 0 03 Nov 2019
Analyzing machine-learned representations: A natural language case study Ishita Dasgupta Demi Guo S. Gershman Noah D. Goodman NAI 14 12 0 12 Sep 2019
Planning with State Abstractions for Non-Markovian Task Specifications Yoonseon Oh Roma Patel Thao Nguyen Baichuan Huang Ellie Pavlick Stefanie Tellex 13 22 0 28 May 2019
Deep Learning for Cognitive Neuroscience Katherine R. Storrs N. Kriegeskorte NAI AI4CE 33 46 0 04 Mar 2019
Pretrained language model transfer on neural named entity recognition in Indonesian conversational texts Rezka Leonandya Fariz Ikhwantri 21 4 0 21 Feb 2019
Learning to Reason with Third-Order Tensor Products Imanol Schlag Jürgen Schmidhuber NAI 19 64 0 29 Nov 2018
The Fast and the Flexible: training neural networks to learn to follow instructions from small data Rezka Leonandya Elia Bruni Dieuwke Hupkes Germán Kruszewski 18 6 0 17 Sep 2018
Neural Networks and Quantifier Conservativity: Does Data Distribution Affect Learnability? Vishwali Mhasawade I. Szabó Melanie Tosik Sheng-Fu Wang 10 1 0 15 Sep 2018
Assessing Composition in Sentence Vector Representations Allyson Ettinger Ahmed Elgohary C. Phillips Philip Resnik CoGe 20 78 0 11 Sep 2018
How clever is the FiLM model, and how clever can it be? A. Kuhnle Huiyuan Xie Ann A. Copestake 30 6 0 09 Sep 2018
RNNs as psycholinguistic subjects: Syntactic state and grammatical dependency Richard Futrell Ethan Gotlieb Wilcox Takashi Morita R. Levy 13 57 0 05 Sep 2018
Measuring abstract reasoning in neural networks David Barrett Felix Hill Adam Santoro Ari S. Morcos Timothy Lillicrap OOD 25 356 0 11 Jul 2018
Relational inductive biases, deep learning, and graph networks Peter W. Battaglia Jessica B. Hamrick V. Bapst Alvaro Sanchez-Gonzalez V. Zambaldi ... Pushmeet Kohli M. Botvinick Oriol Vinyals Yujia Li Razvan Pascanu AI4CE NAI 115 3,083 0 04 Jun 2018
Learning compositionally through attentive guidance Dieuwke Hupkes Anand Singh K. Korrel Germán Kruszewski Elia Bruni CoGe 13 29 0 20 May 2018
The Fine Line between Linguistic Generalization and Failure in Seq2Seq-Attention Models Noah Weber L. Shekhar Niranjan Balasubramanian 102 30 0 03 May 2018
Decoupling Structure and Lexicon for Zero-Shot Semantic Parsing Jonathan Herzig Jonathan Berant 11 52 0 21 Apr 2018
Natural Language Statistical Features of LSTM-generated Texts Marco Lippi M. Montemurro M. Degli Esposti G. Cristadoro DeLMO 10 71 0 10 Apr 2018
Memorize or generalize? Searching for a compositional RNN in a haystack Adam Liska Germán Kruszewski Marco Baroni 15 79 0 18 Feb 2018
Evaluating Compositionality in Sentence Embeddings Ishita Dasgupta Demi Guo Andreas Stuhlmuller S. Gershman Noah D. Goodman CoGe 24 121 0 12 Feb 2018
Improving the Universality and Learnability of Neural Programmer-Interpreters with Combinator Abstraction Da Xiao Jonathan Liao Xingyuan Yuan NAI 14 14 0 08 Feb 2018
Deep Learning: A Critical Appraisal G. Marcus HAI VLM 38 1,034 0 02 Jan 2018
Deep learning evaluation using deep linguistic processing A. Kuhnle Ann A. Copestake ELM 33 11 0 05 Jun 2017
Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation Yonghui Wu M. Schuster Z. Chen Quoc V. Le Mohammad Norouzi ... Alex Rudnick Oriol Vinyals G. Corrado Macduff Hughes J. Dean AIMat 716 6,748 0 26 Sep 2016