Title
The Oversmoothing Fallacy: A Misguided Narrative in GNN Research M. Park Sunghyun Choi Jaeseung Heo Eunhyeok Park Dongwoo Kim AI4CE 230 1 0 05 Jun 2025
Zenkai -- Framework For Exploring Beyond Backpropagation Greg Short 138 0 0 16 Nov 2023
The Grand Illusion: The Myth of Software Portability and Implications for ML ProgressNeural Information Processing Systems (NeurIPS), 2023 Fraser Mince Dzung Dinh Jonas Kgomo Neil Thompson Sara Hooker 105 7 0 12 Sep 2023
Unveiling the frontiers of deep learning: innovations shaping diverse domains Shams Forruque Ahmed Md. Sakib Bin Alam Maliha Kabir Shaila Afrin Sabiha Jannat Rafa Aanushka Mehjabin Amir H. Gandomi AI4CE 418 8 0 06 Sep 2023
Auto-Differentiation of Relational Computations for Very Large Scale Machine LearningInternational Conference on Machine Learning (ICML), 2023 Yu-Shuen Tang Zhimin Ding Dimitrije Jankov Binhang Yuan Daniel Bourgeois C. Jermaine BDL 262 7 0 31 May 2023
On the Correctness of Automatic Differentiation for Neural Networks with Machine-Representable ParametersInternational Conference on Machine Learning (ICML), 2023 Wonyeol Lee Sejun Park A. Aiken PINN 150 6 0 31 Jan 2023
MCVD: Masked Conditional Video Diffusion for Prediction, Generation, and Interpolation Vikram S. Voleti Alexia Jolicoeur-Martineau Christopher Pal DiffM VGen 325 364 0 19 May 2022
Optimizing Mixture of Experts using Dynamic Recompilations Ferdinand Kossmann Zhihao Jia A. Aiken 190 5 0 04 May 2022
Memory Planning for Deep Neural Networks Maksim Levental 154 4 0 23 Feb 2022
Flashlight: Enabling Innovation in Tools for Machine LearningInternational Conference on Machine Learning (ICML), 2022 Jacob Kahn Vineel Pratap Tatiana Likhomanenko Qiantong Xu Awni Y. Hannun ... Gilad Avidov Benoit Steiner Vitaliy Liptchinsky Gabriel Synnaeve R. Collobert 215 37 0 29 Jan 2022
Terra: Imperative-Symbolic Co-Execution of Imperative Deep Learning ProgramsNeural Information Processing Systems (NeurIPS), 2022 Taebum Kim Eunji Jeong Geonyong Kim Yunmo Koo Sehoon Kim Gyeong-In Yu Byung-Gon Chun AI4CE 141 5 0 23 Jan 2022
DIVA-DAF: A Deep Learning Framework for Historical Document Image Analysis Lars Vogtlin A. Scius-Bertrand Paul Maergner Andreas Fischer Rolf Ingold 153 2 0 20 Jan 2022
Torch.fx: Practical Program Capture and Transformation for Deep Learning in Python James K. Reed Zach DeVito Horace He Ansley Ussery Jason Ansel CLIP 178 61 0 15 Dec 2021
Analysis of memory consumption by neural networks based on hyperparameters N. Mahendran 76 3 0 21 Oct 2021
ESPnet2-TTS: Extending the Edge of TTS Research Tomoki Hayashi Ryuichi Yamamoto Takenori Yoshimura Peter Wu Jiatong Shi Takaaki Saeki Yooncheol Ju Yusuke Yasuda Shinnosuke Takamichi Shinji Watanabe VLM 150 69 0 15 Oct 2021
SoftNeuro: Fast Deep Inference using Multi-platform Optimization Masaki Hilaga Yasuhiro Kuroda Hitoshi Matsuo Tatsuya Kawaguchi Gabriel Ogawa Hiroshi Miyake Yusuke Kozawa 127 2 0 12 Oct 2021
Pixyz: a Python library for developing deep generative models Masahiro Suzuki T. Kaneko Y. Matsuo AI4CE 159 3 0 28 Jul 2021
Optimizer Fusion: Efficient Training with Better Locality and Parallelism Zixuan Jiang Jiaqi Gu Mingjie Liu Keren Zhu David Z. Pan 100 3 0 01 Apr 2021
LazyTensor: combining eager execution with domain-specific compilers Alex Suhan Davide Libenzi Ailing Zhang Parker Schuh Brennan Saeta Jie Young Sohn Denys Shabalin 103 20 0 26 Feb 2021
Swift for TensorFlow: A portable, flexible platform for deep learningConference on Machine Learning and Systems (MLSys), 2021 Brennan Saeta Denys Shabalin M. Rasi Brad Larson Xihui Wu ... Saleem Abdulrasool A. Efremov Dave Abrahams Chris Lattner Richard Wei HAI 118 13 0 26 Feb 2021
HumanACGAN: conditional generative adversarial network with human-based auxiliary classifier and its evaluation in phoneme perceptionIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2021 Yota Ueda Kazuki Fujii Yuki Saito Shinnosuke Takamichi Yukino Baba Hiroshi Saruwatari GAN 63 1 0 08 Feb 2021
Ivy: Templated Deep Learning for Inter-Framework Portability Daniel Lenton Fabio Pardo Fabian Falck Stephen James R. Clark OOD VLM 244 13 0 04 Feb 2021
TensorX: Extensible API for Neural Network Model Design and Deployment Davide Nunes Luis M. Antunes 111 0 0 29 Dec 2020
Hardware and Software Optimizations for Accelerating Deep Neural Networks: Survey of Current Trends, Challenges, and the Road AheadIEEE Access (IEEE Access), 2020 Maurizio Capra Beatrice Bussolino Alberto Marchisio Guido Masera Maurizio Martina Mohamed Bennai BDL 267 171 0 21 Dec 2020
Nimble: Lightweight and Parallel GPU Task Scheduling for Deep LearningNeural Information Processing Systems (NeurIPS), 2020 Woosuk Kwon Gyeong-In Yu Eunji Jeong Byung-Gon Chun 151 80 0 04 Dec 2020
A Study of Checkpointing in Large Scale Training of Deep Neural Networks Elvis Rojas A. Kahira Esteban Meneses L. Bautista-Gomez Rosa M. Badia 195 31 0 01 Dec 2020
Behaviorally Diverse Traffic Simulation via Reinforcement Learning Shinya Shiroshita Shirou Maruyama D. Nishiyama M. Castro Karim Hamzaoui Guy Rosman Jonathan A. DeCastro Kuan-Hui Lee Adrien Gaidon 181 21 0 11 Nov 2020
Ensemble Chinese End-to-End Spoken Language Understanding for Abnormal Event Detection from audio stream Haoran Wei Fei Tao Runze Su Sen Yang Ji Liu 259 3 0 19 Oct 2020
Towards a Scalable and Distributed Infrastructure for Deep Learning Applications Bita Hasheminezhad S. Shirzad Nanmiao Wu Patrick Diehl Hannes Schulz Hartmut Kaiser GNN AI4CE 316 4 0 06 Oct 2020
Label-Efficient Multi-Task Segmentation using Contrastive Learning J. Iwasawa Y. Hirano Yohei Sugawara 141 11 0 23 Sep 2020
When is invariance useful in an Out-of-Distribution Generalization problem ? Masanori Koyama Shoichiro Yamaguchi OOD 248 70 0 04 Aug 2020
Reflection-based Word Attribute Transfer Yoichi Ishibashi Katsuhito Sudoh Koichiro Yoshino Satoshi Nakamura CVBM 108 3 0 06 Jul 2020
End-to-end Learning of a Fisher Vector Encoding for Part Features in Fine-grained Recognition D. Korsch P. Bodesheim Joachim Denzler 206 8 0 04 Jul 2020
PrototypeML: A Neural Network Integrated Design and Development Environment D. R. Harris 88 1 0 01 Jul 2020
Learning Heuristic Selection with Dynamic Algorithm Configuration David Speck André Biedenkapp Katharina Eggensperger Robert Mattmüller Marius Lindauer 243 34 0 15 Jun 2020
On Correctness of Automatic Differentiation for Non-Differentiable FunctionsNeural Information Processing Systems (NeurIPS), 2020 Wonyeol Lee Hangyeol Yu Xavier Rival Hongseok Yang 166 44 0 12 Jun 2020
ESPnet-ST: All-in-One Speech Translation Toolkit Hirofumi Inaguma Shun Kiyono Kevin Duh Shigeki Karita Nelson Yalta Tomoki Hayashi Shinji Watanabe 204 171 0 21 Apr 2020
SOL: Effortless Device Support for AI Frameworks without Source Code ChangesIEEE/ACM International Symposium on Cluster, Cloud and Internet Computing (CCGrid), 2020 Nicolas Weber Felipe Huici 71 3 0 24 Mar 2020
Scalable and Practical Natural Gradient for Large-Scale Deep LearningIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2020 Kazuki Osawa Yohei Tsuji Yuichiro Ueno Akira Naruse Chuan-Sheng Foo Rio Yokota 227 42 0 13 Feb 2020
Learning to Control PDEs with Differentiable PhysicsInternational Conference on Learning Representations (ICLR), 2020 Philipp Holl V. Koltun Nils Thuerey AI4CE PINN 224 204 0 21 Jan 2020
PixelRL: Fully Convolutional Network with Reinforcement Learning for Image ProcessingIEEE transactions on multimedia (IEEE TMM), 2019 Ryosuke Furuta Naoto Inoue T. Yamasaki 168 78 0 16 Dec 2019
Adaptive Loss Scaling for Mixed Precision Training Ruizhe Zhao Brian K. Vogel Tanvir Ahmed 113 9 0 28 Oct 2019
Team PFDet's Methods for Open Images Challenge 2019 Yusuke Niitani Toru Ogawa Shuji Suzuki Takuya Akiba Tommi Kerola Kohei Ozaki Shotaro Sano 114 3 0 25 Oct 2019
Kornia: an Open Source Differentiable Computer Vision Library for PyTorchIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2019 F. Mokhayeri Dmytro Mishkin Daniel Ponsa Ethan Rublee Gary R. Bradski VLM AI4TS 318 409 0 05 Oct 2019
HumanGAN: generative adversarial network with human-based discriminator and its evaluation in speech perception modelingIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2019 Kazuki Fujii Yuki Saito Shinnosuke Takamichi Yukino Baba Hiroshi Saruwatari 87 7 0 25 Sep 2019
Einconv: Exploring Unexplored Tensor Network Decompositions for Convolutional Neural NetworksNeural Information Processing Systems (NeurIPS), 2019 K. Hayashi Taiki Yamaguchi Yohei Sugawara S. Maeda 145 62 0 13 Aug 2019
A Graph Theoretic Framework of Recomputation Algorithms for Memory-Efficient BackpropagationNeural Information Processing Systems (NeurIPS), 2019 M. Kusumoto Takuya Inoue G. Watanabe Takuya Akiba Masanori Koyama 148 48 0 28 May 2019
Semi-Supervised Ordinal Regression Based on Empirical Risk MinimizationNeural Computation (Neural Comput.), 2019 Taira Tsuchiya Nontawat Charoenphakdee Issei Sato Masashi Sugiyama OffRL 245 4 0 31 Jan 2019