+
|
Designing and Interpreting Probes with Control Tasks
|
2019
|
John Hewitt
Percy Liang
|
4
|
+
|
Do NLP Models Know Numbers? Probing Numeracy in Embeddings
|
2019
|
Eric Wallace
Yizhong Wang
Sujian Li
Sameer Singh
Matt Gardner
|
3
|
+
|
Deep Contextualized Word Representations
|
2018
|
Matthew E. Peters
Mark E Neumann
Mohit Iyyer
Matt Gardner
Christopher Clark
Kenton Lee
Luke Zettlemoyer
|
3
|
+
PDF
Chat
|
Verb Physics: Relative Physical Knowledge of Actions and Objects
|
2017
|
Maxwell Forbes
Yejin Choi
|
3
|
+
|
How Large Are Lions? Inducing Distributions over Quantitative Attributes
|
2019
|
Yanai Elazar
Abhijit Mahabal
Deepak Ramachandran
Tania Bedrax-Weiss
Dan Roth
|
3
|
+
PDF
Chat
|
PIQA: Reasoning about Physical Commonsense in Natural Language
|
2020
|
Yonatan Bisk
Rowan Zellers
Ronan Le Bras
Jianfeng Gao
Yejin Choi
|
3
|
+
PDF
Chat
|
Temporal Common Sense Acquisition with Minimal Supervision
|
2020
|
Ben Zhou
Ning Qiang
Daniel Khashabi
Dan Roth
|
2
|
+
|
Denoising Diffusion Probabilistic Models
|
2020
|
Jonathan Ho
Ajay N. Jain
Pieter Abbeel
|
2
|
+
PDF
Chat
|
Scalable Temporal Latent Space Inference for Link Prediction in Dynamic Social Networks
|
2016
|
Linhong Zhu
Dong Guo
Junming Yin
Greg Ver Steeg
Aram Galstyan
|
2
|
+
|
Adam: A Method for Stochastic Optimization
|
2014
|
Diederik P. Kingma
Jimmy Ba
|
2
|
+
|
Information-Theoretic Probing for Linguistic Structure
|
2020
|
Tiago Pimentel
Josef Valvoda
Rowan Hall Maudslay
Ran Zmigrod
Adina Williams
Ryan Cotterell
|
2
|
+
PDF
Chat
|
PTE
|
2015
|
Jian Tang
Meng Qu
Qiaozhu Mei
|
2
|
+
|
Distributed Representations of Words and Phrases and their Compositionality
|
2013
|
Tomáš Mikolov
Ilya Sutskever
Kai Chen
Greg S. Corrado
Jeffrey Dean
|
2
|
+
|
Neural Combinatorial Optimization with Reinforcement Learning
|
2017
|
Irwan Bello
Hieu Pham
Quoc V. Le
Mohammad Norouzi
Samy Bengio
|
2
|
+
|
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
|
2018
|
Jacob Devlin
Ming‐Wei Chang
Kenton Lee
Kristina Toutanova
|
2
|
+
|
Pixel Recurrent Neural Networks
|
2016
|
Aäron van den Oord
Nal Kalchbrenner
Koray Kavukcuoglu
|
2
|
+
|
Representation Learning over Dynamic Graphs
|
2018
|
Rakshit Trivedi
Mehrdad Farajtabar
Prasenjeet Biswal
Hongyuan Zha
|
2
|
+
|
COEVOLVE: A Joint Point Process Model for Information Diffusion and Network Co-evolution
|
2015
|
Mehrdad Farajtabar
Yichen Wang
Manuel Gomez-Rodriguez
Shuang Li
Hongyuan Zha
Le Song
|
2
|
+
|
DynGEM: Deep Embedding Method for Dynamic Graphs
|
2018
|
Palash Goyal
Nitin Kamra
Xinran He
Yan Liu
|
2
|
+
|
Trust Region Policy Optimization
|
2015
|
John Schulman
Sergey Levine
Philipp Moritz
Michael I. Jordan
Pieter Abbeel
|
2
|
+
PDF
Chat
|
DeepPath: A Reinforcement Learning Method for Knowledge Graph Reasoning
|
2017
|
Wenhan Xiong
Thien Hoang
William Yang Wang
|
2
|
+
PDF
Chat
|
Building high-level features using large scale unsupervised learning
|
2013
|
Quoc V. Le
|
2
|
+
|
DyLink2Vec: Effective Feature Representation for Link Prediction in Dynamic Networks
|
2018
|
Mahmudur Rahman
Tanay Kumar Saha
Mohammad Al Hasan
Kevin S. Xu
Chandan K. Reddy
|
2
|
+
|
Injecting Numerical Reasoning Skills into Language Models
|
2020
|
Mor Geva
Ankit Gupta
Jonathan Berant
|
2
|
+
PDF
Chat
|
Birds have four legs?! NumerSense: Probing Numerical Commonsense Knowledge of Pre-Trained Language Models
|
2020
|
Bill Yuchen Lin
Seyeon Lee
Rahul Khanna
Xiang Ren
|
2
|
+
PDF
Chat
|
Network Embedding as Matrix Factorization: Unifying DeepWalk, LINE, PTE, and node2vec
|
2018
|
Jiezhong Qiu
Yuxiao Dong
Hao Ma
Jian Li
Kuansan Wang
Jie Tang
|
2
|
+
PDF
Chat
|
Continuous-Time Relationship Prediction in Dynamic Heterogeneous Information Networks
|
2019
|
Sina Sajadmanesh
Sogol Bazargani
Jiawei Zhang
Hamid R. Rabiee
|
2
|
+
|
Continuous control with deep reinforcement learning
|
2015
|
Timothy Lillicrap
Jonathan J. Hunt
Alexander Pritzel
Nicolas Heess
Tom Erez
Yuval Tassa
David Silver
Daan Wierstra
|
2
|
+
PDF
Chat
|
VEWS
|
2015
|
Srijan Kumar
Francesca Spezzano
V. S. Subrahmanian
|
2
|
+
|
Inductive Representation Learning on Large Graphs
|
2017
|
William L. Hamilton
Rex Ying
Jure Leskovec
|
2
|
+
|
Deep Coevolutionary Network: Embedding User and Item Features for Recommendation
|
2016
|
Hanjun Dai
Yichen Wang
Rakshit Trivedi
Le Song
|
2
|
+
PDF
Chat
|
Anyone Can Become a Troll
|
2017
|
Justin Cheng
Michael S. Bernstein
Cristian Danescu-Niculescu-Mizil
Jure Leskovec
|
2
|
+
PDF
Chat
|
Graph embedding techniques, applications, and performance: A survey
|
2018
|
Palash Goyal
Emilio Ferrara
|
2
|
+
|
Pixel Recurrent Neural Networks
|
2016
|
Aäron van den Oord
Nal Kalchbrenner
Koray Kavukcuoglu
|
2
|
+
PDF
Chat
|
PReP
|
2017
|
Yu Shi
Po-Wei Chan
Honglei Zhuang
Huan Gui
Jiawei Han
|
2
|
+
|
Know-Evolve: Deep Temporal Reasoning for Dynamic Knowledge Graphs
|
2017
|
Rakshit Trivedi
Hanjun Dai
Yichen Wang
Le Song
|
2
|
+
PDF
Chat
|
Deep Learning based Recommender System: A Survey and New Perspectives.
|
2017
|
Shuai Zhang
Lina Yao
Aixin Sun
|
2
|
+
|
The Block Point Process Model for Continuous-Time Event-Based Dynamic Networks
|
2017
|
Ruthwik R. Junuthula
Maysam Haghdan
Kevin S. Xu
Vijay Devabhaktuni
|
2
|
+
|
Overcoming catastrophic forgetting in neural networks
|
2017
|
James Kirkpatrick
Razvan Pascanu
Neil C. Rabinowitz
Joel Veness
Guillaume Desjardins
Andrei A. Rusu
Kieran Milan
John Quan
Tiago Ramalho
Agnieszka Grabska‐Barwińska
|
2
|
+
|
Recurrent Marked Temporal Point Processes
|
2016
|
Nan Du
Hanjun Dai
Rakshit Trivedi
Utkarsh Upadhyay
Manuel Gomez-Rodriguez
Le Song
|
2
|
+
|
Dynamic Graph Neural Networks
|
2018
|
Yao Ma
Ziyi Guo
Zhaochun Ren
Eric Zhao
Jiliang Tang
Dawei Yin
|
2
|
+
|
Cramér–von Mises distance: probabilistic interpretation, confidence intervals, and neighbourhood-of-model validation
|
2017
|
Ludwig Baringhaus
Norbert Henze
|
2
|
+
|
Fast ALS-Based Tensor Factorization for Context-Aware Recommendation from Implicit Feedback
|
2012
|
Balázs Hidasi
Domonkos Tikk
|
2
|
+
PDF
Chat
|
Attributed Network Embedding for Learning in a Dynamic Environment
|
2017
|
Jundong Li
Harsh Dani
Xia Hu
Jiliang Tang
Yi Chang
Huan Liu
|
2
|
+
PDF
Chat
|
Leveraging Friendship Networks for Dynamic Link Prediction in Social Interaction Networks
|
2018
|
Ruthwik R. Junuthula
Kevin S. Xu
Vijay Devabhaktuni
|
2
|
+
|
Representation Learning on Graphs: Methods and Applications
|
2017
|
William L. Hamilton
Rex Ying
Jure Leskovec
|
2
|
+
PDF
Chat
|
Supersizing self-supervision: Learning to grasp from 50K tries and 700 robot hours
|
2016
|
Lerrel Pinto
Abhinav Gupta
|
1
|
+
PDF
Chat
|
Deep Residual Learning for Image Recognition
|
2016
|
Kaiming He
Xiangyu Zhang
Shaoqing Ren
Jian Sun
|
1
|
+
PDF
Chat
|
Expectation-based syntactic comprehension
|
2007
|
Roger Lévy
|
1
|
+
PDF
Chat
|
Abstract Planning and Perceptual Chunks: Elements of Expertise in Geometry
|
1990
|
Kenneth R. Koedinger
John R. Anderson
|
1
|