Distance Learner: Incorporating Manifold Prior to Model Training

14 July 2022

Papers citing "Distance Learner: Incorporating Manifold Prior to Model Training"

23 / 23 papers shown

Title
CoCa: Contrastive Captioners are Image-Text Foundation Models Jiahui Yu Zirui Wang Vijay Vasudevan Legg Yeung Mojtaba Seyedhosseini Yonghui Wu VLM CLIP OffRL 131 1,293 0 04 May 2022
Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges M. Bronstein Joan Bruna Taco S. Cohen Petar Velivcković GNN 313 1,147 0 27 Apr 2021
The Intrinsic Dimension of Images and Its Impact on Learning Phillip E. Pope Chen Zhu Ahmed Abdelkader Micah Goldblum Tom Goldstein 226 269 0 18 Apr 2021
Array Programming with NumPy Charles R. Harris K. Millman S. Walt R. Gommers Pauli Virtanen ... Tyler Reddy Warren Weckesser Hameer Abbasi C. Gohlke T. Oliphant 118 14,883 0 18 Jun 2020
Wide-minima Density Hypothesis and the Explore-Exploit Learning Rate Schedule Nikhil Iyer V. Thejas Nipun Kwatra Ramachandran Ramjee Muthian Sivathanu 28 29 0 09 Mar 2020
DROCC: Deep Robust One-Class Classification Sachin Goyal Aditi Raghunathan Moksh Jain H. Simhadri Prateek Jain VLM 57 163 0 28 Feb 2020
PyTorch: An Imperative Style, High-Performance Deep Learning Library Adam Paszke Sam Gross Francisco Massa Adam Lerer James Bradbury ... Sasank Chilamkurthy Benoit Steiner Lu Fang Junjie Bai Soumith Chintala ODL 342 42,299 0 03 Dec 2019
Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer Colin Raffel Noam M. Shazeer Adam Roberts Katherine Lee Sharan Narang Michael Matena Yanqi Zhou Wei Li Peter J. Liu AIMat 355 20,053 0 23 Oct 2019
DeepSDF: Learning Continuous Signed Distance Functions for Shape Representation Jeong Joon Park Peter R. Florence Julian Straub Richard Newcombe S. Lovegrove 3DV 114 3,677 0 16 Jan 2019
Why ReLU networks yield high-confidence predictions far away from the training data and how to mitigate the problem Matthias Hein Maksym Andriushchenko Julian Bitterwolf OODD 140 557 0 13 Dec 2018
Disentangling Adversarial Robustness and Generalization David Stutz Matthias Hein Bernt Schiele AAML OOD 249 280 0 03 Dec 2018
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding Jacob Devlin Ming-Wei Chang Kenton Lee Kristina Toutanova VLM SSL SSeg 1.3K 94,511 0 11 Oct 2018
Adversarial Attacks and Defences: A Survey Anirban Chakraborty Manaar Alam Vishal Dey Anupam Chattopadhyay Debdeep Mukhopadhyay AAML OOD 65 679 0 28 Sep 2018
Threat of Adversarial Attacks on Deep Learning in Computer Vision: A Survey Naveed Akhtar Ajmal Mian AAML 69 1,863 0 02 Jan 2018
Natural TTS Synthesis by Conditioning WaveNet on Mel Spectrogram Predictions Jonathan Shen Ruoming Pang Ron J. Weiss M. Schuster Navdeep Jaitly ... Yuxuan Wang RJ Skerry-Ryan Rif A. Saurous Yannis Agiomyrgiannakis Yonghui Wu 77 2,694 0 16 Dec 2017
Towards Deep Learning Models Resistant to Adversarial Attacks Aleksander Madry Aleksandar Makelov Ludwig Schmidt Dimitris Tsipras Adrian Vladu SILM OOD 259 12,029 0 19 Jun 2017
An Overview of Multi-Task Learning in Deep Neural Networks Sebastian Ruder CVBM 116 2,826 0 15 Jun 2017
Attention Is All You Need Ashish Vaswani Noam M. Shazeer Niki Parmar Jakob Uszkoreit Llion Jones Aidan Gomez Lukasz Kaiser Illia Polosukhin 3DV 591 130,942 0 12 Jun 2017
Adversarial Attacks on Neural Network Policies Sandy Huang Nicolas Papernot Ian Goodfellow Yan Duan Pieter Abbeel MLAU AAML 81 837 0 08 Feb 2017
Group Equivariant Convolutional Networks Taco S. Cohen Max Welling BDL 142 1,930 0 24 Feb 2016
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift Sergey Ioffe Christian Szegedy OOD 407 43,234 0 11 Feb 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 1.3K 149,842 0 22 Dec 2014
Explaining and Harnessing Adversarial Examples Ian Goodfellow Jonathon Shlens Christian Szegedy AAML GAN 225 19,017 0 20 Dec 2014