A Metric Learning Reality Check

18 March 2020

Ser-Nam Lim

Papers citing "A Metric Learning Reality Check"

44 / 294 papers shown

Title
Hyperparameter Optimization Is Deceiving Us, and How to Stop It A. Feder Cooper Yucheng Lu Jessica Zosa Forde Christopher De Sa 6 30 0 05 Feb 2021
Improving Neural Network Robustness through Neighborhood Preserving Layers Bingyuan Liu Christopher Malon Lingzhou Xue E. Kruus AAML 8 5 0 28 Jan 2021
Deep Learning for Instance Retrieval: A Survey Wei-Neng Chen Yu Liu Weiping Wang E. Bakker Theodoros Georgiou Paul Fieguth Li Liu M. Lew VLM 11 144 0 27 Jan 2021
Hybrid Trilinear and Bilinear Programming for Aligning Partially Overlapping Point Sets Wei Lian W. Zuo 11 2 0 19 Jan 2021
Probabilistic Embeddings for Cross-Modal Retrieval Sanghyuk Chun Seong Joon Oh Rafael Sampaio de Rezende Yannis Kalantidis Diane Larlus UQCV 399 200 0 13 Jan 2021
Rethinking Interactive Image Segmentation: Feature Space Annotation Jordão Bragantini A. X. Falcão Laurent Najman 11 6 0 12 Jan 2021
Metric Learning for Session-based Recommendations Bartlomiej Twardowski P. Zawistowski Szymon Zaborowski DML 19 6 0 07 Jan 2021
Skeleton-DML: Deep Metric Learning for Skeleton-Based One-Shot Action Recognition Raphael Memmesheimer Simon Häring Nick Theisen Dietrich Paulus 27 36 0 26 Dec 2020
Research Reproducibility as a Survival Analysis Edward Raff SyDa AI4CE 16 19 0 17 Dec 2020
Multi-Objective Interpolation Training for Robustness to Label Noise Diego Ortego Eric Arazo Paul Albert Noel E. O'Connor Kevin McGuinness NoLa 14 112 0 08 Dec 2020
ReproducedPapers.org: Openly teaching and structuring machine learning reproducibility Burak Yildiz Hayley Hung Jesse H. Krijthe Cynthia C. S. Liem Marco Loog ... Annibale Panichella P. Pawełczak S. Picek Mathijs de Weerdt J. C. V. Gemert SyDa 6 13 0 01 Dec 2020
Bayesian Triplet Loss: Uncertainty Quantification in Image Retrieval Frederik Warburg Martin Jørgensen Javier Civera Søren Hauberg UQCV 14 36 0 25 Nov 2020
VIGOR: Cross-View Image Geo-localization beyond One-to-one Retrieval Sijie Zhu Taojiannan Yang C. L. P. Chen 12 159 0 24 Nov 2020
SLADE: A Self-Training Framework For Distance Metric Learning Jiali Duan Yen-Liang Lin Son N. Tran Larry S. Davis C.-C. Jay Kuo 9 11 0 20 Nov 2020
Towards Improved and Interpretable Deep Metric Learning via Attentive Grouping Xinyi Xu Zhangyang Wang Cheng Deng Hao Yuan Shuiwang Ji FedML 17 14 0 17 Nov 2020
MinkLoc3D: Point Cloud Based Large-Scale Place Recognition J. Komorowski 3DPC 16 186 0 09 Nov 2020
Hyperparameter Transfer Across Developer Adjustments Daniel Stoll Jörg K.H. Franke Diane Wagner Simon Selg Frank Hutter 19 12 0 25 Oct 2020
What Can We Do to Improve Peer Review in NLP? Anna Rogers Isabelle Augenstein 6 49 0 08 Oct 2020
Data-Efficient Pretraining via Contrastive Self-Supervision Nils Rethmeier Isabelle Augenstein 15 20 0 02 Oct 2020
S2SD: Simultaneous Similarity-based Self-Distillation for Deep Metric Learning Karsten Roth Timo Milbich Bjorn Ommer Joseph Paul Cohen Marzyeh Ghassemi FedML 20 17 0 17 Sep 2020
Cosine meets Softmax: A tough-to-beat baseline for visual grounding N. Rufus U. R. Nair K. M. Krishna Vineet Gandhi 22 13 0 13 Sep 2020
The Little W-Net That Could: State-of-the-Art Retinal Vessel Segmentation with Minimalistic Models Adrian Galdran André Anjos José Dolz H. Chakor H. Lombaert Ismail Ben Ayed SSeg 14 18 0 03 Sep 2020
Metric Learning vs Classification for Disentangled Music Representation Learning Jongpil Lee Nicholas J. Bryan Justin Salamon Zeyu Jin Juhan Nam DML DRL 8 32 0 09 Aug 2020
Adaptive additive classification-based loss for deep metric learning István Fehérvári Ives Macêdo 31 0 0 25 Jun 2020
Approximate Cross-Validation for Structured Models S. Ghosh William T. Stephenson Tin D. Nguyen Sameer K. Deshpande Tamara Broderick 8 15 0 23 Jun 2020
Compositional Learning of Image-Text Query for Image Retrieval Muhammad Umer Anwaar Egor Labintcev M. Kleinsteuber CoGe 11 91 0 19 Jun 2020
HyNet: Learning Local Descriptor with Hybrid Similarity Measure and Triplet Loss Yurun Tian Axel Barroso Laguna Tony Ng Vassileios Balntas K. Mikolajczyk 14 5 0 17 Jun 2020
Are we done with ImageNet? Lucas Beyer Olivier J. Hénaff Alexander Kolesnikov Xiaohua Zhai Aaron van den Oord VLM 8 395 0 12 Jun 2020
Self-Supervised Relational Reasoning for Representation Learning Massimiliano Patacchiola Amos Storkey OOD SSL 11 63 0 10 Jun 2020
Rethinking preventing class-collapsing in metric learning with margin-based losses Elad Levi Tete Xiao Xiaolong Wang Trevor Darrell 6 13 0 09 Jun 2020
Entropic Out-of-Distribution Detection: Seamless Detection of Unknown Examples David Macêdo T. I. Ren Cleber Zanchettin Adriano Oliveira Teresa B Ludermir OODD 2 22 0 07 Jun 2020
MISIM: A Neural Code Semantics Similarity System Using the Context-Aware Semantics Structure Fangke Ye Sheng-Tian Zhou Anand Venkat Ryan Marcus Nesime Tatbul ... Tim Mattson Tim Kraska Pradeep Dubey Vivek Sarkar Justin Emile Gottschlich 11 8 0 05 Jun 2020
On the Value of Out-of-Distribution Testing: An Example of Goodhart's Law Damien Teney Kushal Kafle Robik Shrestha Ehsan Abbasnejad Christopher Kanan A. Hengel OODD OOD 22 145 0 19 May 2020
Dynamic Sampling for Deep Metric Learning Chang-Hui Liang Wanlei Zhao Run-Qing Chen 6 4 0 24 Apr 2020
Supervised Domain Adaptation: A Graph Embedding Perspective and a Rectified Experimental Protocol Lukas Hedegaard Morsing Omar Ali Sheikh-Omar Alexandros Iosifidis OOD 6 23 0 23 Apr 2020
SL-DML: Signal Level Deep Metric Learning for Multimodal One-Shot Action Recognition Raphael Memmesheimer Nick Theisen Dietrich Paulus 8 45 0 23 Apr 2020
A unifying mutual information view of metric learning: cross-entropy vs. pairwise losses Malik Boudiaf Jérôme Rony Imtiaz Masud Ziko Eric Granger M. Pedersoli Pablo Piantanida Ismail Ben Ayed SSL 13 158 0 19 Mar 2020
DeepEMD: Differentiable Earth Mover's Distance for Few-Shot Learning Chi Zhang Yujun Cai Guosheng Lin Chunhua Shen VLM 18 110 0 15 Mar 2020
What is the State of Neural Network Pruning? Davis W. Blalock Jose Javier Gonzalez Ortiz Jonathan Frankle John Guttag 181 1,027 0 06 Mar 2020
Affinity guided Geometric Semi-Supervised Metric Learning U. Dutta Mehrtash Harandi C. Sekhar 6 2 0 27 Feb 2020
Revisiting Training Strategies and Generalization Performance in Deep Metric Learning Karsten Roth Timo Milbich Samarth Sinha Prateek Gupta Bjorn Ommer Joseph Paul Cohen 14 168 0 19 Feb 2020
Trainable Spectrally Initializable Matrix Transformations in Convolutional Neural Networks Michele Alberti A. Botros Narayan Schütz Rolf Ingold Marcus Liwicki Mathias Seuret MedIm 9 2 0 12 Nov 2019
Entropic Out-of-Distribution Detection David Macêdo T. I. Ren Cleber Zanchettin Adriano Oliveira Teresa B Ludermir OODD UQCV 4 31 0 15 Aug 2019
Ranked List Loss for Deep Metric Learning Xinshao Wang Yang Hua Elyor Kodirov N. Robertson 18 246 0 08 Mar 2019