Pretrained Generalized Autoregressive Model with Adaptive Probabilistic Label Clusters for Extreme Multi-label Text Classification

5 July 2020

Papers citing "Pretrained Generalized Autoregressive Model with Adaptive Probabilistic Label Clusters for Extreme Multi-label Text Classification"

7 / 7 papers shown

Title
Generalized test utilities for long-tail performance in extreme multi-label classification Erik Schultheis Marek Wydmuch Wojciech Kotlowski Rohit Babbar Krzysztof Dembczyñski ELM 21 3 0 09 Nov 2023
PINA: Leveraging Side Information in eXtreme Multi-label Classification via Predicted Instance Neighborhood Aggregation Eli Chien Jiong Zhang Cho-Jui Hsieh Jyun-Yu Jiang Wei-Cheng Chang O. Milenkovic Hsiang-Fu Yu 25 9 0 21 May 2023
Cluster-Guided Label Generation in Extreme Multi-Label Classification Taehee Jung Joo-Kyung Kim Sungjin Lee Dongyeop Kang VLM 24 6 0 17 Feb 2023
NGAME: Negative Mining-aware Mini-batching for Extreme Classification Kunal Dahiya Nilesh Gupta Deepak Saini Akshay Soni Yajun Wang ... Sonu Mehta R. Ramjee Sumeet Agarwal Purushottam Kar Manik Varma 34 35 0 10 Jul 2022
Exploiting Local and Global Features in Transformer-based Extreme Multi-label Text Classification Ruohong Zhang Yau-Shian Wang Yiming Yang Tom Vu Li Lei 28 2 0 02 Apr 2022
InceptionXML: A Lightweight Framework with Synchronized Negative Sampling for Short Text Extreme Classification Siddhant Kharbanda Atmadeep Banerjee Devaansh Gupta Akash Palrecha Rohit Babbar 27 9 0 13 Sep 2021
Convolutional Neural Networks for Sentence Classification Yoon Kim AILaw VLM 255 13,364 0 25 Aug 2014