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Neural Module Networks

Neural Module Networks

9 November 2015
Jacob Andreas
Marcus Rohrbach
Trevor Darrell
Dan Klein
    CoGe
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Papers citing "Neural Module Networks"

50 / 624 papers shown
Title
Ordered Memory
Ordered Memory
Songlin Yang
Shawn Tan
Seyedarian Hosseini
Zhouhan Lin
Alessandro Sordoni
Aaron Courville
21
23
0
29 Oct 2019
Dynamics Learning with Cascaded Variational Inference for Multi-Step
  Manipulation
Dynamics Learning with Cascaded Variational Inference for Multi-Step Manipulation
Kuan Fang
Yuke Zhu
Animesh Garg
Silvio Savarese
Li Fei-Fei
DRL
23
47
0
29 Oct 2019
Rethinking Cooperative Rationalization: Introspective Extraction and
  Complement Control
Rethinking Cooperative Rationalization: Introspective Extraction and Complement Control
Mo Yu
Shiyu Chang
Yang Zhang
Tommi Jaakkola
21
140
0
29 Oct 2019
A Game Theoretic Approach to Class-wise Selective Rationalization
A Game Theoretic Approach to Class-wise Selective Rationalization
Shiyu Chang
Yang Zhang
Mo Yu
Tommi Jaakkola
22
60
0
28 Oct 2019
HIGhER : Improving instruction following with Hindsight Generation for
  Experience Replay
HIGhER : Improving instruction following with Hindsight Generation for Experience Replay
Geoffrey Cideron
Mathieu Seurin
Florian Strub
Olivier Pietquin
32
37
0
21 Oct 2019
Multi-modal Deep Analysis for Multimedia
Multi-modal Deep Analysis for Multimedia
Wenwu Zhu
Xin Eric Wang
Hongzhi Li
29
38
0
11 Oct 2019
Meta Module Network for Compositional Visual Reasoning
Meta Module Network for Compositional Visual Reasoning
Wenhu Chen
Zhe Gan
Linjie Li
Yu Cheng
Wenjie Wang
Jingjing Liu
LRM
25
68
0
08 Oct 2019
REMIND Your Neural Network to Prevent Catastrophic Forgetting
REMIND Your Neural Network to Prevent Catastrophic Forgetting
Tyler L. Hayes
Kushal Kafle
Robik Shrestha
Manoj Acharya
Christopher Kanan
CLL
31
295
0
06 Oct 2019
Environmental drivers of systematicity and generalization in a situated
  agent
Environmental drivers of systematicity and generalization in a situated agent
Felix Hill
Andrew Kyle Lampinen
R. Schneider
S. Clark
M. Botvinick
James L. McClelland
Adam Santoro
OOD
17
103
0
01 Oct 2019
On Incorporating Semantic Prior Knowledge in Deep Learning Through
  Embedding-Space Constraints
On Incorporating Semantic Prior Knowledge in Deep Learning Through Embedding-Space Constraints
Damien Teney
Ehsan Abbasnejad
Anton Van Den Hengel
NAI
29
9
0
30 Sep 2019
Policy Message Passing: A New Algorithm for Probabilistic Graph
  Inference
Policy Message Passing: A New Algorithm for Probabilistic Graph Inference
Zhiwei Deng
Greg Mori
25
0
0
29 Sep 2019
Neural Embedding Propagation on Heterogeneous Networks
Neural Embedding Propagation on Heterogeneous Networks
Carl Yang
Jieyu Zhang
Jiawei Han
32
20
0
29 Sep 2019
Recurrent Independent Mechanisms
Recurrent Independent Mechanisms
Anirudh Goyal
Alex Lamb
Jordan Hoffmann
Shagun Sodhani
Sergey Levine
Yoshua Bengio
Bernhard Schölkopf
42
334
0
24 Sep 2019
Explainable High-order Visual Question Reasoning: A New Benchmark and
  Knowledge-routed Network
Explainable High-order Visual Question Reasoning: A New Benchmark and Knowledge-routed Network
Qingxing Cao
Bailin Li
Xiaodan Liang
Liang Lin
33
13
0
23 Sep 2019
Dynamic Graph Attention for Referring Expression Comprehension
Dynamic Graph Attention for Referring Expression Comprehension
Sibei Yang
Guanbin Li
Yizhou Yu
OCL
25
215
0
18 Sep 2019
Scene Graph Parsing by Attention Graph
Scene Graph Parsing by Attention Graph
Martin Andrews
Yew Ken Chia
Sam Witteveen
GNN
30
11
0
13 Sep 2019
Self-Assembling Modular Networks for Interpretable Multi-Hop Reasoning
Self-Assembling Modular Networks for Interpretable Multi-Hop Reasoning
Yichen Jiang
Joey Tianyi Zhou
ReLM
LRM
13
72
0
12 Sep 2019
Towards Learning Affine-Invariant Representations via Data-Efficient
  CNNs
Towards Learning Affine-Invariant Representations via Data-Efficient CNNs
Xenju Xu
Guanghui Wang
Alan Sullivan
Ziming Zhang
33
23
0
31 Aug 2019
Language Tasks and Language Games: On Methodology in Current Natural
  Language Processing Research
Language Tasks and Language Games: On Methodology in Current Natural Language Processing Research
David Schlangen
27
18
0
28 Aug 2019
Saccader: Improving Accuracy of Hard Attention Models for Vision
Saccader: Improving Accuracy of Hard Attention Models for Vision
Gamaleldin F. Elsayed
Simon Kornblith
Quoc V. Le
VLM
29
72
0
20 Aug 2019
Continuous Relaxation of Symbolic Planner for One-Shot Imitation
  Learning
Continuous Relaxation of Symbolic Planner for One-Shot Imitation Learning
De-An Huang
Danfei Xu
Yuke Zhu
Animesh Garg
Silvio Savarese
Fei-Fei Li
Juan Carlos Niebles
CLL
24
18
0
16 Aug 2019
A Multi-Type Multi-Span Network for Reading Comprehension that Requires
  Discrete Reasoning
A Multi-Type Multi-Span Network for Reading Comprehension that Requires Discrete Reasoning
Minghao Hu
Yuxing Peng
Zhen Huang
Dongsheng Li
AIMat
LRM
32
90
0
15 Aug 2019
A Review of Cooperative Multi-Agent Deep Reinforcement Learning
A Review of Cooperative Multi-Agent Deep Reinforcement Learning
Afshin Oroojlooyjadid
Davood Hajinezhad
56
413
0
11 Aug 2019
Recognizing Part Attributes with Insufficient Data
Recognizing Part Attributes with Insufficient Data
Xiangyu Zhao
Yi Yang
Feng Zhou
Xiao Tan
Yuchen Yuan
Sid Ying-Ze Bao
Ying Nian Wu
25
20
0
09 Aug 2019
Question-Agnostic Attention for Visual Question Answering
Question-Agnostic Attention for Visual Question Answering
M. Farazi
Salman H Khan
Nick Barnes
13
10
0
09 Aug 2019
CRIC: A VQA Dataset for Compositional Reasoning on Vision and
  Commonsense
CRIC: A VQA Dataset for Compositional Reasoning on Vision and Commonsense
Difei Gao
Ruiping Wang
Shiguang Shan
Xilin Chen
CoGe
LRM
20
27
0
08 Aug 2019
An Empirical Study of Batch Normalization and Group Normalization in
  Conditional Computation
An Empirical Study of Batch Normalization and Group Normalization in Conditional Computation
Vincent Michalski
Vikram S. Voleti
Samira Ebrahimi Kahou
Anthony Ortiz
Pascal Vincent
C. Pal
Doina Precup
BDL
30
6
0
31 Jul 2019
Disentangled Relational Representations for Explaining and Learning from
  Demonstration
Disentangled Relational Representations for Explaining and Learning from Demonstration
Yordan V. Hristov
Daniel Angelov
Michael G. Burke
A. Lascarides
S. Ramamoorthy
DRL
16
24
0
31 Jul 2019
LEAF-QA: Locate, Encode & Attend for Figure Question Answering
LEAF-QA: Locate, Encode & Attend for Figure Question Answering
Ritwick Chaudhry
Sumit Shekhar
Utkarsh Gupta
Pranav Maneriker
Prann Bansal
Ajay Joshi
LMTD
23
85
0
30 Jul 2019
Trends in Integration of Vision and Language Research: A Survey of
  Tasks, Datasets, and Methods
Trends in Integration of Vision and Language Research: A Survey of Tasks, Datasets, and Methods
Aditya Mogadala
M. Kalimuthu
Dietrich Klakow
VLM
25
133
0
22 Jul 2019
Why Build an Assistant in Minecraft?
Why Build an Assistant in Minecraft?
Arthur Szlam
Jonathan Gray
Kavya Srinet
Yacine Jernite
Armand Joulin
...
Siddharth Goyal
Demi Guo
Dan Rothermel
C. L. Zitnick
Jason Weston
LLMAG
30
29
0
22 Jul 2019
CraftAssist: A Framework for Dialogue-enabled Interactive Agents
CraftAssist: A Framework for Dialogue-enabled Interactive Agents
Jonathan Gray
Kavya Srinet
Yacine Jernite
Haonan Yu
Zhuoyuan Chen
Demi Guo
Siddharth Goyal
C. L. Zitnick
Arthur Szlam
41
39
0
19 Jul 2019
Neural Probabilistic Logic Programming in DeepProbLog
Neural Probabilistic Logic Programming in DeepProbLog
Robin Manhaeve
Sebastijan Dumancic
Angelika Kimmig
T. Demeester
Luc de Raedt
NAI
40
542
0
18 Jul 2019
Composing Neural Learning and Symbolic Reasoning with an Application to
  Visual Discrimination
Composing Neural Learning and Symbolic Reasoning with an Application to Visual Discrimination
Adithya Murali
Atharva Sehgal
Paul Krogmeier
P. Madhusudan
13
3
0
12 Jul 2019
Learning by Abstraction: The Neural State Machine
Learning by Abstraction: The Neural State Machine
Drew A. Hudson
Christopher D. Manning
NAI
OCL
16
258
0
09 Jul 2019
Adversarial Multimodal Network for Movie Question Answering
Zhaoquan Yuan
Siyuan Sun
Lixin Duan
Xiao Wu
Changsheng Xu
24
3
0
24 Jun 2019
Declarative Learning-Based Programming as an Interface to AI Systems
Declarative Learning-Based Programming as an Interface to AI Systems
Parisa Kordjamshidi
Dan Roth
Kristian Kersting
24
4
0
18 Jun 2019
Learning Predicates as Functions to Enable Few-shot Scene Graph
  Prediction
Learning Predicates as Functions to Enable Few-shot Scene Graph Prediction
Apoorva Dornadula
Austin Narcomey
Ranjay Krishna
Michael S. Bernstein
Li Fei-Fei
OCL
28
3
0
12 Jun 2019
Task-Aware Feature Generation for Zero-Shot Compositional Learning
Task-Aware Feature Generation for Zero-Shot Compositional Learning
Xin Wang
Feng Yu
Trevor Darrell
Joseph E. Gonzalez
VLM
CoGe
21
16
0
11 Jun 2019
Relationship-Embedded Representation Learning for Grounding Referring
  Expressions
Relationship-Embedded Representation Learning for Grounding Referring Expressions
Sibei Yang
Guanbin Li
Yizhou Yu
ObjD
33
52
0
11 Jun 2019
A Survey of Reinforcement Learning Informed by Natural Language
A Survey of Reinforcement Learning Informed by Natural Language
Jelena Luketina
Nantas Nardelli
Gregory Farquhar
Jakob N. Foerster
Jacob Andreas
Edward Grefenstette
Shimon Whiteson
Tim Rocktaschel
LM&Ro
KELM
OffRL
LRM
31
279
0
10 Jun 2019
Figure Captioning with Reasoning and Sequence-Level Training
Figure Captioning with Reasoning and Sequence-Level Training
Charles C. Chen
Ruiyi Zhang
Eunyee Koh
Sungchul Kim
Scott D. Cohen
Tong Yu
Ryan Rossi
Razvan Bunescu
AIMat
31
38
0
07 Jun 2019
OK-VQA: A Visual Question Answering Benchmark Requiring External
  Knowledge
OK-VQA: A Visual Question Answering Benchmark Requiring External Knowledge
Kenneth Marino
Mohammad Rastegari
Ali Farhadi
Roozbeh Mottaghi
19
1,020
0
31 May 2019
Learning Compositional Neural Programs with Recursive Tree Search and
  Planning
Learning Compositional Neural Programs with Recursive Tree Search and Planning
Thomas Pierrot
Guillaume Ligner
Scott E. Reed
Olivier Sigaud
Nicolas Perrin
Alexandre Laterre
David Kas
Karim Beguir
Nando de Freitas
41
41
0
30 May 2019
Recursive Sketches for Modular Deep Learning
Recursive Sketches for Modular Deep Learning
Badih Ghazi
Rina Panigrahy
Joshua R. Wang
15
20
0
29 May 2019
Learning Dynamics of Attention: Human Prior for Interpretable Machine
  Reasoning
Learning Dynamics of Attention: Human Prior for Interpretable Machine Reasoning
Wonjae Kim
Yoonho Lee
16
6
0
28 May 2019
Structure Learning for Neural Module Networks
Structure Learning for Neural Module Networks
Vardaan Pahuja
Jie Fu
Sarath Chandar
C. Pal
21
7
0
27 May 2019
Differentiable Representations For Multihop Inference Rules
Differentiable Representations For Multihop Inference Rules
William W. Cohen
Haitian Sun
R. A. Hofer
M. Siegler
14
2
0
24 May 2019
Self-Critical Reasoning for Robust Visual Question Answering
Self-Critical Reasoning for Robust Visual Question Answering
Jialin Wu
Raymond J. Mooney
OOD
NAI
32
159
0
24 May 2019
AttentionRNN: A Structured Spatial Attention Mechanism
AttentionRNN: A Structured Spatial Attention Mechanism
Siddhesh Khandelwal
Leonid Sigal
27
3
0
22 May 2019
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