Cover Image

Labels in Extremes: How Well Calibrated are Extreme Multi-label Classifiers?

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Ullah, Nasib, Schultheis, Erik, Zhang, Jinbin, Babbar, Rohit
Format:	Preprint
Published:	2024
Subjects:	Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Large Language Model as a Teacher for Zero-shot Tagging at Extreme Scales
by: Zhang, Jinbin, et al.
Published: (2024)

ELMO: Efficiency via Low-precision and Peak Memory Optimization in Large Output Spaces
by: Zhang, Jinbin, et al.
Published: (2025)

DynaSpec: Context-aware Dynamic Speculative Sampling for Large-Vocabulary Language Models
by: Zhang, Jinbin, et al.
Published: (2025)

Navigating Extremes: Dynamic Sparsity in Large Output Spaces
by: Ullah, Nasib, et al.
Published: (2024)

HASTE: Hardware-Aware Dynamic Sparse Training for Large Output Spaces
by: Ullah, Nasib, et al.
Published: (2026)

Learning label-label correlations in Extreme Multi-label Classification via Label Features
by: Kharbanda, Siddhant, et al.
Published: (2024)

UniDEC : Unified Dual Encoder and Classifier Training for Extreme Multi-Label Classification
by: Kharbanda, Siddhant, et al.
Published: (2024)

Generalized test utilities for long-tail performance in extreme multi-label classification
by: Schultheis, Erik, et al.
Published: (2023)

Consistent algorithms for multi-label classification with macro-at-$k$ metrics
by: Schultheis, Erik, et al.
Published: (2024)

A General Online Algorithm for Optimizing Complex Performance Metrics
by: Kotłowski, Wojciech, et al.
Published: (2024)

Extreme Multi-label Completion for Semantic Document Labelling with Taxonomy-Aware Parallel Learning
by: Audiffren, Julien, et al.
Published: (2024)

InceptionXML: A Lightweight Framework with Synchronized Negative Sampling for Short Text Extreme Classification
by: Kharbanda, Siddhant, et al.
Published: (2021)

Dual-Encoders for Extreme Multi-Label Classification
by: Gupta, Nilesh, et al.
Published: (2023)

Graphite: A Graph-based Extreme Multi-Label Short Text Classifier for Keyphrase Recommendation
by: Mishra, Ashirbad, et al.
Published: (2024)

Uncertainty Calibration of Multi-Label Bird Sound Classifiers
by: Schwinger, Raphael, et al.
Published: (2025)

Multi-Head Encoding for Extreme Label Classification
by: Liang, Daojun, et al.
Published: (2024)

MatchXML: An Efficient Text-label Matching Framework for Extreme Multi-label Text Classification
by: Ye, Hui, et al.
Published: (2023)

Prototypical Extreme Multi-label Classification with a Dynamic Margin Loss
by: Dahiya, Kunal, et al.
Published: (2024)

Robust Training of Federated Models with Extremely Label Deficiency
by: Zhang, Yonggang, et al.
Published: (2024)

DiCaP: Distribution-Calibrated Pseudo-labeling for Semi-Supervised Multi-Label Learning
by: Han, Bo, et al.
Published: (2025)

Multi-label Ranking: Mining Multi-label and Label Ranking Data
by: Dery, Lihi
Published: (2021)

SpaceGNN: Multi-Space Graph Neural Network for Node Anomaly Detection with Extremely Limited Labels
by: Dong, Xiangyu, et al.
Published: (2025)

ASTRA: Accurate and Scalable ANNS-based Training of Extreme Classifiers
by: Mehta, Sonu, et al.
Published: (2024)

ICXML: An In-Context Learning Framework for Zero-Shot Extreme Multi-Label Classification
by: Zhu, Yaxin, et al.
Published: (2023)

A Simple but Effective Closed-form Solution for Extreme Multi-label Learning
by: Onishi, Kazuma, et al.
Published: (2025)

Least-Ambiguous Multi-Label Classifier
by: Hagos, Misgina Tsighe, et al.
Published: (2025)

Semi-supervised Anomaly Detection with Extremely Limited Labels in Dynamic Graphs
by: Chen, Jiazhen, et al.
Published: (2025)

On the Necessity of World Knowledge for Mitigating Missing Labels in Extreme Classification
by: Prakash, Jatin, et al.
Published: (2024)

Provably Safeguarding a Classifier from OOD and Adversarial Samples: an Extreme Value Theory Approach
by: Atienza, Nicolas, et al.
Published: (2025)

Classifier Chain Networks for Multi-Label Classification
by: Touw, Daniel J. W., et al.
Published: (2024)

Extreme bandits
by: Carpentier, Alexandra, et al.
Published: (2026)

LLMQ: Efficient Lower-Precision Pretraining for Consumer GPUs
by: Schultheis, Erik, et al.
Published: (2025)

UniExtreme: A Universal Foundation Model for Extreme Weather Forecasting
by: Ni, Hang, et al.
Published: (2025)

DALLMi: Domain Adaption for LLM-based Multi-label Classifier
by: Beţianu, Miruna, et al.
Published: (2024)

HR-Extreme: A High-Resolution Dataset for Extreme Weather Forecasting
by: Ran, Nian, et al.
Published: (2024)

Class-based Subset Selection for Transfer Learning under Extreme Label Shift
by: Goyal, Akul, et al.
Published: (2024)

Multi-Quantile Regression for Extreme Precipitation Downscaling
by: Najafi, Hamed, et al.
Published: (2026)

Capturing Extreme Events in Turbulence using an Extreme Variational Autoencoder (xVAE)
by: Zhang, Likun, et al.
Published: (2025)

Translation or Recitation? Calibrating Evaluation Scores for Machine Translation of Extremely Low-Resource Languages
by: Chen, Danlu, et al.
Published: (2026)

Extremely Greedy Equivalence Search
by: Nazaret, Achille, et al.
Published: (2025)