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PyTorch: An Imperative Style, High-Performance Deep Learning Library

PyTorch: An Imperative Style, High-Performance Deep Learning Library

3 December 2019
Adam Paszke
Sam Gross
Francisco Massa
Adam Lerer
James Bradbury
Gregory Chanan
Trevor Killeen
Zeming Lin
N. Gimelshein
L. Antiga
Alban Desmaison
Andreas Köpf
E. Yang
Zach DeVito
Martin Raison
Alykhan Tejani
Sasank Chilamkurthy
Benoit Steiner
Lu Fang
Junjie Bai
Soumith Chintala
    ODL
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Papers citing "PyTorch: An Imperative Style, High-Performance Deep Learning Library"

50 / 657 papers shown
Title
Teaching Robots to Build Simulations of Themselves
Teaching Robots to Build Simulations of Themselves
Yuhang Hu
Jiong Lin
Hod Lipson
SSL
81
4
0
20 Nov 2023
Pretrain like Your Inference: Masked Tuning Improves Zero-Shot Composed Image Retrieval
Pretrain like Your Inference: Masked Tuning Improves Zero-Shot Composed Image Retrieval
Junyang Chen
Hanjiang Lai
VLM
62
15
0
13 Nov 2023
Relax: Composable Abstractions for End-to-End Dynamic Machine Learning
Relax: Composable Abstractions for End-to-End Dynamic Machine Learning
Ruihang Lai
Junru Shao
Siyuan Feng
Steven Lyubomirsky
Bohan Hou
...
Sunghyun Park
Prakalp Srivastava
Jared Roesch
T. Mowry
Tianqi Chen
67
9
0
01 Nov 2023
Density Matrix Emulation of Quantum Recurrent Neural Networks for Multivariate Time Series Prediction
Density Matrix Emulation of Quantum Recurrent Neural Networks for Multivariate Time Series Prediction
José Daniel Viqueira
Daniel Faílde
M. M. Juane
Andrés Gómez
David Mera
47
5
0
31 Oct 2023
Enhancing Low-Order Discontinuous Galerkin Methods with Neural Ordinary Differential Equations for Compressible Navier--Stokes Equations
Enhancing Low-Order Discontinuous Galerkin Methods with Neural Ordinary Differential Equations for Compressible Navier--Stokes Equations
Shinhoo Kang
Emil M. Constantinescu
AI4CE
38
0
0
29 Oct 2023
DP-SGD with weight clipping
DP-SGD with weight clipping
Antoine Barczewski
Jan Ramon
40
1
0
27 Oct 2023
Gradual Domain Adaptation: Theory and Algorithms
Gradual Domain Adaptation: Theory and Algorithms
Yifei He
Haoxiang Wang
Bo Li
Han Zhao
CLL
74
6
0
20 Oct 2023
Causal Dynamic Variational Autoencoder for Counterfactual Regression in Longitudinal Data
Causal Dynamic Variational Autoencoder for Counterfactual Regression in Longitudinal Data
Mouad El Bouchattaoui
Myriam Tami
Benoit Lepetit
P. Cournède
CML
OOD
88
2
0
16 Oct 2023
Chameleon: a Heterogeneous and Disaggregated Accelerator System for Retrieval-Augmented Language Models
Chameleon: a Heterogeneous and Disaggregated Accelerator System for Retrieval-Augmented Language Models
Wenqi Jiang
Marco Zeller
R. Waleffe
Torsten Hoefler
Gustavo Alonso
80
15
0
15 Oct 2023
Dynamic Appearance Particle Neural Radiance Field
Dynamic Appearance Particle Neural Radiance Field
Ancheng Lin
Jun Li
Jun Li
Mukesh Prasad
38
2
0
11 Oct 2023
Optimal Sequential Decision-Making in Geosteering: A Reinforcement Learning Approach
Optimal Sequential Decision-Making in Geosteering: A Reinforcement Learning Approach
R. B. Muhammad
S. Alyaev
R. Bratvold
37
4
0
07 Oct 2023
On Continuity of Robust and Accurate Classifiers
On Continuity of Robust and Accurate Classifiers
Ramin Barati
Reza Safabakhsh
Mohammad Rahmati
AAML
37
1
0
29 Sep 2023
Asynchronous Graph Generator
Asynchronous Graph Generator
Christopher P. Ley
Felipe Tobar
AI4TS
69
0
0
29 Sep 2023
Graph-level Representation Learning with Joint-Embedding Predictive Architectures
Graph-level Representation Learning with Joint-Embedding Predictive Architectures
Geri Skenderi
Hang Li
Jiliang Tang
Marco Cristani
AI4TS
GNN
76
3
0
27 Sep 2023
Smooth Exact Gradient Descent Learning in Spiking Neural Networks
Smooth Exact Gradient Descent Learning in Spiking Neural Networks
Christian Klos
Raoul-Martin Memmesheimer
74
6
0
25 Sep 2023
Pointing the Way: Refining Radar-Lidar Localization Using Learned ICP Weights
Pointing the Way: Refining Radar-Lidar Localization Using Learned ICP Weights
Daniil Lisus
Johann Laconte
Keenan Burnett
Ziyu Zhang
Timothy D. Barfoot
72
6
0
15 Sep 2023
PILOT: A Pre-Trained Model-Based Continual Learning Toolbox
PILOT: A Pre-Trained Model-Based Continual Learning Toolbox
Hai-Long Sun
Da-Wei Zhou
Han-Jia Ye
De-Chuan Zhan
CLL
170
29
0
13 Sep 2023
Foundational Policy Acquisition via Multitask Learning for Motor Skill Generation
Foundational Policy Acquisition via Multitask Learning for Motor Skill Generation
Satoshi Yamamori
Jun Morimoto
47
0
0
31 Aug 2023
Optimal Transport-inspired Deep Learning Framework for Slow-Decaying Kolmogorov n-width Problems: Exploiting Sinkhorn Loss and Wasserstein Kernel
Optimal Transport-inspired Deep Learning Framework for Slow-Decaying Kolmogorov n-width Problems: Exploiting Sinkhorn Loss and Wasserstein Kernel
M. Khamlich
F. Pichi
G. Rozza
46
4
0
26 Aug 2023
Which Transformer to Favor: A Comparative Analysis of Efficiency in Vision Transformers
Which Transformer to Favor: A Comparative Analysis of Efficiency in Vision Transformers
Tobias Christian Nauen
Sebastián M. Palacio
Federico Raue
Andreas Dengel
69
4
0
18 Aug 2023
Counting Guidance for High Fidelity Text-to-Image Synthesis
Counting Guidance for High Fidelity Text-to-Image Synthesis
Wonjune Kang
Kevin Galim
H. Koo
Nam Ik Cho
DiffM
60
9
0
30 Jun 2023
Distributed Random Reshuffling Methods with Improved Convergence
Distributed Random Reshuffling Methods with Improved Convergence
Kun-Yen Huang
Linli Zhou
Shi Pu
65
4
0
21 Jun 2023
FedNoisy: Federated Noisy Label Learning Benchmark
FedNoisy: Federated Noisy Label Learning Benchmark
Siqi Liang
Jintao Huang
Junyuan Hong
Dun Zeng
Jiayu Zhou
Zenglin Xu
FedML
61
7
0
20 Jun 2023
Naeural AI OS -- Decentralized ubiquitous computing MLOps execution engine
Naeural AI OS -- Decentralized ubiquitous computing MLOps execution engine
Beatrice Milik
S. Saraev
Cristian Bleotiu
Radu Lupaescu
34
0
0
14 Jun 2023
Referring Camouflaged Object Detection
Referring Camouflaged Object Detection
Xuying Zhang
Bo Yin
Zheng Lin
Qibin Hou
Deng-Ping Fan
Ming-Ming Cheng
80
17
0
13 Jun 2023
Transferring Foundation Models for Generalizable Robotic Manipulation
Transferring Foundation Models for Generalizable Robotic Manipulation
Jiange Yang
Wenhui Tan
Chuhao Jin
Keling Yao
Bei Liu
Jianlong Fu
Ruihua Song
Gangshan Wu
Limin Wang
LM&Ro
83
7
0
09 Jun 2023
Spatial Re-parameterization for N:M Sparsity
Spatial Re-parameterization for N:M Sparsity
Yuxin Zhang
Mingbao Lin
Mingliang Xu
Mengzhao Chen
Chia-Wen Lin
89
2
0
09 Jun 2023
DeepScribe: Localization and Classification of Elamite Cuneiform Signs Via Deep Learning
DeepScribe: Localization and Classification of Elamite Cuneiform Signs Via Deep Learning
Edward C. Williams
Grace Su
Sandra R. Schloen
Miller C. Prosser
Susanne Paulus
S.Rohith Krishnan
176
3
0
02 Jun 2023
Learning without Forgetting for Vision-Language Models
Learning without Forgetting for Vision-Language Models
Da-Wei Zhou
Yuanhan Zhang
Jingyi Ning
Jingyi Ning
De-Chuan Zhan
De-Chuan Zhan
Ziwei Liu
VLM
CLL
102
41
0
30 May 2023
Emergent representations in networks trained with the Forward-Forward algorithm
Emergent representations in networks trained with the Forward-Forward algorithm
Niccolo Tosato
Lorenzo Basile
Emanuele Ballarin
Giuseppe de Alteriis
Alberto Cazzaniga
A. Ansuini
41
9
0
26 May 2023
Generative Adversarial Reduced Order Modelling
Generative Adversarial Reduced Order Modelling
Dario Coscia
N. Demo
G. Rozza
GAN
AI4CE
80
5
0
25 May 2023
Incentivizing Honesty among Competitors in Collaborative Learning and Optimization
Incentivizing Honesty among Competitors in Collaborative Learning and Optimization
Florian E. Dorner
Nikola Konstantinov
Georgi Pashaliev
Martin Vechev
FedML
51
6
0
25 May 2023
MultiPlaneNeRF: Neural Radiance Field with Non-Trainable Representation
MultiPlaneNeRF: Neural Radiance Field with Non-Trainable Representation
D. Zimny
Artur Kasymov
Adam Kania
Jacek Tabor
Maciej Ziȩba
Przemysław Spurek
Przemysław Spurek
3DV
74
2
0
17 May 2023
Gradient Leakage Defense with Key-Lock Module for Federated Learning
Gradient Leakage Defense with Key-Lock Module for Federated Learning
Hanchi Ren
Jingjing Deng
Xianghua Xie
Xiaoke Ma
Jianfeng Ma
FedML
55
2
0
06 May 2023
NeuroBench: A Framework for Benchmarking Neuromorphic Computing Algorithms and Systems
NeuroBench: A Framework for Benchmarking Neuromorphic Computing Algorithms and Systems
Jason Yik
Korneel Van den Berghe
Douwe den Blanken
Younes Bouhadjar
Maxime Fabre
...
Fatima Tuz Zohora
Charlotte Frenkel
Vijay Janapa Reddi
Charlotte Frenkel
Vijay Janapa Reddi
61
20
0
10 Apr 2023
Self-Supervised Siamese Autoencoders
Self-Supervised Siamese Autoencoders
Friederike Baier
Sebastian Mair
Samuel G. Fadel
SSL
57
4
0
05 Apr 2023
InceptionNeXt: When Inception Meets ConvNeXt
InceptionNeXt: When Inception Meets ConvNeXt
Weihao Yu
Pan Zhou
Shuicheng Yan
Xinchao Wang
74
125
0
29 Mar 2023
Modeling Relational Patterns for Logical Query Answering over Knowledge Graphs
Modeling Relational Patterns for Logical Query Answering over Knowledge Graphs
Yunjie He
M. Nayyeri
Bo Xiong
Yuqicheng Zhu
Evgeny Kharlamov
Steffen Staab
42
2
0
21 Mar 2023
Deep Learning for Cross-Domain Few-Shot Visual Recognition: A Survey
Deep Learning for Cross-Domain Few-Shot Visual Recognition: A Survey
Huali Xu
Shuaifeng Zhi
Shuzhou Sun
Vishal M. Patel
Li Liu
76
13
0
15 Mar 2023
FCN+: Global Receptive Convolution Makes FCN Great Again
FCN+: Global Receptive Convolution Makes FCN Great Again
Zhongying Deng
Xiaoyu Ren
Jin Ye
Junjun He
Dongxu Yang
83
1
0
08 Mar 2023
Partial Label Learning for Emotion Recognition from EEG
Partial Label Learning for Emotion Recognition from EEG
Guangyi Zhang
Ali Etemad
64
2
0
25 Feb 2023
Monte Carlo Neural PDE Solver for Learning PDEs via Probabilistic Representation
Monte Carlo Neural PDE Solver for Learning PDEs via Probabilistic Representation
Rui Zhang
Qi Meng
Rongchan Zhu
Yue Wang
Wenlei Shi
Shihua Zhang
Zhi-Ming Ma
Tie-Yan Liu
DiffM
AI4CE
80
5
0
10 Feb 2023
Online Reinforcement Learning in Non-Stationary Context-Driven Environments
Online Reinforcement Learning in Non-Stationary Context-Driven Environments
Pouya Hamadanian
Arash Nasr-Esfahany
Malte Schwarzkopf
Siddartha Sen
MohammadIman Alizadeh
CLL
OffRL
77
0
0
04 Feb 2023
Understanding Sample Generation Strategies for Learning Heuristic Functions in Classical Planning
Understanding Sample Generation Strategies for Learning Heuristic Functions in Classical Planning
R. Bettker
P. Minini
André Grahl Pereira
M. Ritt
53
1
0
23 Nov 2022
Normal Transformer: Extracting Surface Geometry from LiDAR Points Enhanced by Visual Semantics
Normal Transformer: Extracting Surface Geometry from LiDAR Points Enhanced by Visual Semantics
Ancheng Lin
Jun Yu Li
Yusheng Xiang
Wei Bian
Mukesh Prasad
3DPC
ViT
78
2
0
19 Nov 2022
Learning Probabilities of Causation from Finite Population Data
Learning Probabilities of Causation from Finite Population Data
Ang Li
Song Jiang
Yizhou Sun
Judea Pearl
AI4CE
34
7
0
16 Oct 2022
Can Visual Dialogue Models Do Scorekeeping? Exploring How Dialogue Representations Incrementally Encode Shared Knowledge
Can Visual Dialogue Models Do Scorekeeping? Exploring How Dialogue Representations Incrementally Encode Shared Knowledge
Brielen Madureira
David Schlangen
47
4
0
14 Apr 2022
PRBoost: Prompt-Based Rule Discovery and Boosting for Interactive
  Weakly-Supervised Learning
PRBoost: Prompt-Based Rule Discovery and Boosting for Interactive Weakly-Supervised Learning
Rongzhi Zhang
Yue Yu
Pranav Shetty
Le Song
Chao Zhang
58
24
0
18 Mar 2022
A Framework and Benchmark for Deep Batch Active Learning for Regression
A Framework and Benchmark for Deep Batch Active Learning for Regression
David Holzmüller
Viktor Zaverkin
Johannes Kastner
Ingo Steinwart
UQCV
BDL
GP
59
34
0
17 Mar 2022
Energy-Latency Attacks via Sponge Poisoning
Energy-Latency Attacks via Sponge Poisoning
Antonio Emanuele Cinà
Ambra Demontis
Battista Biggio
Fabio Roli
Marcello Pelillo
SILM
86
29
0
14 Mar 2022
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