The Information Complexity of Learning Tasks, their Structure and their
Distance

The Information Complexity of Learning Tasks, their Structure and their Distance

5 April 2019

Alessandro Achille

Giovanni Paolini

Papers citing "The Information Complexity of Learning Tasks, their Structure and their Distance"

16 / 16 papers shown

Title
Neuroplasticity in Artificial Intelligence -- An Overview and Inspirations on Drop In & Out Learning Yupei Li M. Milling Björn Schuller AI4CE 107 0 0 27 Mar 2025
Concept-skill Transferability-based Data Selection for Large Vision-Language Models Jaewoo Lee Boyang Li Sung Ju Hwang VLM 45 8 0 16 Jun 2024
Semantic Communication of Learnable Concepts Francesco Pase S. Kobus Deniz Gunduz M. Zorzi 19 3 0 14 May 2023
Model-agnostic Measure of Generalization Difficulty Akhilan Boopathy Kevin Liu Jaedong Hwang Shu Ge Asaad Mohammedsaleh Ila Fiete 80 4 0 01 May 2023
Limits of Model Selection under Transfer Learning Steve Hanneke Samory Kpotufe Yasaman Mahdaviyeh 44 6 0 29 Apr 2023
Provable Pathways: Learning Multiple Tasks over Multiple Paths Yingcong Li Samet Oymak MoE 29 4 0 08 Mar 2023
Disentangling Learnable and Memorizable Data via Contrastive Learning for Semantic Communications Christina Chaccour Walid Saad 24 8 0 18 Dec 2022
Less Data, More Knowledge: Building Next Generation Semantic Communication Networks Christina Chaccour Walid Saad Merouane Debbah Zhu Han H. Vincent Poor GNN 3DV 32 121 0 25 Nov 2022
Meta-Learning for Unsupervised Outlier Detection with Optimal Transport Prabhant Singh Joaquin Vanschoren OOD 33 3 0 01 Nov 2022
The Curse of Low Task Diversity: On the Failure of Transfer Learning to Outperform MAML and Their Empirical Equivalence Brando Miranda P. Yu Yu-xiong Wang Oluwasanmi Koyejo 36 10 0 02 Aug 2022
Hierarchical Optimal Transport for Comparing Histopathology Datasets A. Yeaton Rahul G. Krishnan Rebecca J. Mieloszyk David Alvarez-Melis G. Huynh OT 25 9 0 18 Apr 2022
X-Learner: Learning Cross Sources and Tasks for Universal Visual Representation Yinan He Gengshi Huang Siyu Chen Jianing Teng Wang Kun Zhen-fei Yin Lu Sheng Ziwei Liu Yu Qiao Jing Shao VLM SSL ViT 43 7 0 16 Mar 2022
A linearized framework and a new benchmark for model selection for fine-tuning Aditya Deshpande Alessandro Achille Avinash Ravichandran Hao Li L. Zancato Charless C. Fowlkes Rahul Bhotika Stefano Soatto Pietro Perona ALM 120 46 0 29 Jan 2021
Measuring and Harnessing Transference in Multi-Task Learning Christopher Fifty Ehsan Amid Zhe Zhao Tianhe Yu Rohan Anil Chelsea Finn 28 15 0 29 Oct 2020
A No-Free-Lunch Theorem for MultiTask Learning Steve Hanneke Samory Kpotufe 20 39 0 29 Jun 2020
Transferability and Hardness of Supervised Classification Tasks Anh Tran Cuong V Nguyen Tal Hassner 134 164 0 21 Aug 2019