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Extreme Classification via Adversarial Softmax Approximation

Extreme Classification via Adversarial Softmax Approximation

International Conference on Learning Representations (ICLR), 2020
15 February 2020
Kushagra Pandey
Stephan Mandt
ArXiv (abs)PDFHTML

Papers citing "Extreme Classification via Adversarial Softmax Approximation"

12 / 12 papers shown
Noise Contrastive Estimation-based Matching Framework for Low-Resource Security Attack Pattern Recognition
Noise Contrastive Estimation-based Matching Framework for Low-Resource Security Attack Pattern Recognition
Tu Nguyen
Nedim Srndic
Alexander Neth
AAML
436
8
0
18 Jan 2024
iACOS: Advancing Implicit Sentiment Extraction with Informative and
  Adaptive Negative Examples
iACOS: Advancing Implicit Sentiment Extraction with Informative and Adaptive Negative ExamplesNorth American Chapter of the Association for Computational Linguistics (NAACL), 2023
Xiancai Xu
Jia-Dong Zhang
Lei Xiong
Zhishang Liu
321
4
0
07 Nov 2023
Revisiting lp-constrained Softmax Loss: A Comprehensive Study
Revisiting lp-constrained Softmax Loss: A Comprehensive Study
C. Trivedi
Konstantinos Makantasis
Antonios Liapis
Georgios N. Yannakakis
120
1
0
20 Jun 2022
S-Rocket: Selective Random Convolution Kernels for Time Series
  Classification
S-Rocket: Selective Random Convolution Kernels for Time Series Classification
Hojjat Salehinejad
Yang Wang
Yuanhao Yu
Jingshan Tang
S. Valaee
AI4TS
229
17
0
07 Mar 2022
D-HAN: Dynamic News Recommendation with Hierarchical Attention Network
D-HAN: Dynamic News Recommendation with Hierarchical Attention NetworkExpert systems with applications (ESWA), 2021
Qinghua Zhao
HAI
261
6
0
19 Dec 2021
Disentangling Sampling and Labeling Bias for Learning in Large-Output
  Spaces
Disentangling Sampling and Labeling Bias for Learning in Large-Output SpacesInternational Conference on Machine Learning (ICML), 2021
A. S. Rawat
A. Menon
Wittawat Jitkrittum
Sadeep Jayasumana
Felix X. Yu
Sashank J. Reddi
Sanjiv Kumar
194
13
0
12 May 2021
Prototype Memory for Large-scale Face Representation Learning
Prototype Memory for Large-scale Face Representation LearningIEEE Access (IEEE Access), 2021
Evgeny Smirnov
Nikita Garaev
V. Galyuk
Evgeny Lukyanets
CVBM
291
4
0
05 May 2021
Neural Transformation Learning for Deep Anomaly Detection Beyond Images
Neural Transformation Learning for Deep Anomaly Detection Beyond ImagesInternational Conference on Machine Learning (ICML), 2021
Chen Qiu
Timo Pfrommer
Matthias Kirchler
Stephan Mandt
Maja R. Rudolph
ViTAI4TS
370
168
0
30 Mar 2021
A Tale of Two Efficient and Informative Negative Sampling Distributions
A Tale of Two Efficient and Informative Negative Sampling DistributionsInternational Conference on Machine Learning (ICML), 2020
Shabnam Daghaghi
Tharun Medini
Nicholas Meisburger
Beidi Chen
Mengnan Zhao
Anshumali Shrivastava
223
11
0
31 Dec 2020
Unbiased Loss Functions for Extreme Classification With Missing Labels
Unbiased Loss Functions for Extreme Classification With Missing Labels
Erik Schultheis
Mohammadreza Qaraei
Priyanshu Gupta
Rohit Babbar
281
6
0
01 Jul 2020
Calibrated neighborhood aware confidence measure for deep metric
  learning
Calibrated neighborhood aware confidence measure for deep metric learning
Maryna Karpusha
Sunghee Yun
István Fehérvári
UQCVFedML
298
3
0
08 Jun 2020
Extreme Multi-label Classification from Aggregated Labels
Extreme Multi-label Classification from Aggregated LabelsInternational Conference on Machine Learning (ICML), 2020
Yanyao Shen
Hsiang-Fu Yu
Sujay Sanghavi
Inderjit Dhillon
301
10
0
01 Apr 2020
1
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