NeurIPS Submissions

Deep Reinforcement Learning for Online Control of Stochastic Partial Differential Equations
Erfan Pirmorad, Faraz Khoshbakhtian, Farnam Mansouri, Amir-massoud Farahmand
- Sep 27, 2021 (edited Oct 23, 2021)
- DLDE Workshop -- NeurIPS 2021 Spotlight
- Readers: Everyone
AutumnSynth: Synthesis of Reactive Programs with Structured Latent State
Ria Das, Joshua B. Tenenbaum, Armando Solar-Lezama, Zenna Tavares
- Oct 08, 2021 (edited Oct 23, 2021)
- AIPLANS
- Readers: Everyone
ImageNet-21K Pretraining for the Masses
Tal Ridnik, Emanuel Ben-Baruch, Asaf Noy, Lihi Zelnik-Manor
- May 30, 2021 (edited Oct 23, 2021)
- NeurIPS 2021 Datasets and Benchmarks Track (Round 1)
- Readers: Everyone
DP-KB: Data Programming with Knowledge Bases Improves Transformer Fine Tuning for Answer Sentence Selection
Nicolaas Paul Jedema, Thuy Vu, Thuy Vu, Manish Gupta, Alessandro Moschitti
- Oct 03, 2021 (edited Oct 22, 2021)
- DBAI
- Readers: Everyone
RASL: Relational Algebra in Scikit-Learn Pipelines
Chirag Sahni, Kiran Kate, Avraham Shinnar, Hoang Thanh Lam, Martin Hirzel
- Oct 03, 2021 (edited Oct 22, 2021)
- DBAI
- Readers: Everyone
Compressing (Multidimensional) Learned Bloom Filters
Angjela Davitkova, Damjan Gjurovski, Sebastian Michel
- Oct 03, 2021 (edited Oct 22, 2021)
- DBAI
- Readers: Everyone
GRAND: Graph Neural Diffusion
Benjamin Paul Chamberlain, James Rowbottom, Maria I. Gorinova, Stefan D Webb, Emanuele Rossi, Michael M. Bronstein
- Sep 27, 2021 (edited Oct 22, 2021)
- DLDE Workshop -- NeurIPS 2021 Poster
- Readers: Everyone
Adversarial Sampling for Solving Differential Equations with Neural Networks
Kshitij Parwani, Pavlos Protopapas
- Sep 27, 2021 (edited Oct 22, 2021)
- DLDE Workshop -- NeurIPS 2021 Poster
- Readers: Everyone
CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation
Shuai Lu, Daya Guo, Shuo Ren, Junjie Huang, Alexey Svyatkovskiy, Ambrosio Blanco, Colin Clement, Dawn Drain, Daxin Jiang, Duyu Tang, Ge Li, Lidong Zhou, Linjun Shou, Long Zhou, Michele Tufano, MING GONG, Ming Zhou, Nan Duan, Neel Sundaresan, Shao Kun Deng, Shengyu Fu, Shujie LIU
- Jun 03, 2021 (edited Oct 22, 2021)
- NeurIPS 2021 Datasets and Benchmarks Track (Round 1)
- Readers: Everyone
DRL-Clusters: Buffer Management with Clustering based Deep Reinforcement Learning
Kai Li, Qi Zhang, Lei Yu, Hong Min
- Oct 03, 2021 (edited Oct 22, 2021)
- DBAI
- Readers: Everyone
Spectral PINNs: Fast Uncertainty Propagation with Physics-Informed Neural Networks
Björn Lütjens, Catherine H Crawford, Mark Veillette, Dava Newman
- Sep 27, 2021 (edited Oct 22, 2021)
- DLDE Workshop -- NeurIPS 2021 Poster
- Readers: Everyone
Numerical Reasoning over Legal Contracts via Relational Database
Jiani Huang, Ziyang Li, Ilias Fountalis, Mayur Naik
- Oct 03, 2021 (edited Oct 22, 2021)
- DBAI
- Readers: Everyone
Uncertainty Quantification in Neural Differential Equations
Olga Graf, Pablo Flores, Pavlos Protopapas, Karim Pichara
- Sep 27, 2021 (edited Oct 21, 2021)
- DLDE Workshop -- NeurIPS 2021 Poster
- Readers: Everyone
Empirics on the expressiveness of Randomized Signature
Enea Monzio Compagnoni, Luca Biggio, Antonio Orvieto
- Sep 27, 2021 (edited Oct 21, 2021)
- DLDE Workshop -- NeurIPS 2021 Poster
- Readers: Everyone
Enhancing the trainability and expressivity of deep MLPs with globally orthogonal initialization
Hanwen Wang, Isabelle Crawford-Eng, Paris Perdikaris
- Sep 27, 2021 (edited Oct 21, 2021)
- DLDE Workshop -- NeurIPS 2021 Poster
- Readers: Everyone
Multigrid-augmented deep learning preconditioners for the Helmholtz equation
Yael Azulay, Eran Treister
- Sep 27, 2021 (edited Oct 21, 2021)
- DLDE Workshop -- NeurIPS 2021 Poster
- Readers: Everyone
Gotta Go Fast with Score-Based Generative Models
Alexia Jolicoeur-Martineau, Ke Li, Rémi Piché-Taillefer, Tal Kachman, Ioannis Mitliagkas
- Sep 27, 2021 (edited Oct 21, 2021)
- DLDE Workshop -- NeurIPS 2021 Poster
- Readers: Everyone
Quantized convolutional neural networks through the lens of partial differential equations
Ido Ben-Yair, Moshe Eliasof, Eran Treister
- Sep 27, 2021 (edited Oct 21, 2021)
- DLDE Workshop -- NeurIPS 2021 Poster
- Readers: Everyone
Not too close and not too far: enforcing monotonicity requires penalizing the right points
Anonymous
- Sep 21, 2021 (edited Oct 21, 2021)
- XAI 4 Debugging Workshop @ NEURIPS 2021 Oral
- Readers: Everyone
MGIC: Multigrid-in-Channels Neural Network Architectures
Moshe Eliasof, Jonathan Ephrath, Lars Ruthotto, Eran Treister
- Sep 27, 2021 (edited Oct 21, 2021)
- DLDE Workshop -- NeurIPS 2021 Poster
- Readers: Everyone
HyperPINN: Learning parameterized differential equations with physics-informed hypernetworks
Filipe de Avila Belbute-Peres, Yi-fan Chen, Fei Sha
- Sep 27, 2021 (edited Oct 21, 2021)
- DLDE Workshop -- NeurIPS 2021 Poster
- Readers: Everyone
LoveDA: A Remote Sensing Land-Cover Dataset for Domain Adaptive Semantic Segmentation
Junjue Wang, Zhuo Zheng, Ailong Ma, Xiaoyan Lu, Yanfei Zhong
- Aug 15, 2021 (edited Oct 21, 2021)
- NeurIPS 2021 Datasets and Benchmarks Track (Round 2)
- Readers: Everyone
Accelerated PDEs for Construction and Theoretical Analysis of an SGD Extension
Yuxin Sun, Dong Lao, Ganesh Sundaramoorthi, Anthony Yezzi
- Sep 27, 2021 (edited Oct 20, 2021)
- DLDE Workshop -- NeurIPS 2021 Poster
- Readers: Everyone
OGB-LSC: A Large-Scale Challenge for Machine Learning on Graphs
Weihua Hu, Matthias Fey, Hongyu Ren, Maho Nakata, Yuxiao Dong, Jure Leskovec
- Aug 21, 2021 (edited Oct 20, 2021)
- NeurIPS 2021 Datasets and Benchmarks Track (Round 2)
- Readers: Everyone
Shape-Tailored Deep Neural Networks With PDEs
Naeemullah Khan, Angira Sharma, Philip Torr, Ganesh Sundaramoorthi
- Sep 27, 2021 (edited Oct 20, 2021)
- DLDE Workshop -- NeurIPS 2021 Poster
- Readers: Everyone