Information Dropout: Learning Optimal Representations Through Noisy
Computation

Information Dropout: Learning Optimal Representations Through Noisy Computation

4 November 2016

Alessandro Achille

Papers citing "Information Dropout: Learning Optimal Representations Through Noisy Computation"

16 / 16 papers shown

Title
Mitigating Visual Knowledge Forgetting in MLLM Instruction-tuning via Modality-decoupled Gradient Descent Junda Wu Yuxin Xiong Xintong Li Yu Xia Ruoyu Wang ... Sungchul Kim Ryan Rossi Lina Yao Jingbo Shang Julian McAuley CLL VLM 84 0 0 17 Feb 2025
Improving Deep Regression with Tightness Shihao Zhang Yuguang Yan Angela Yao OOD 115 0 0 13 Feb 2025
Training Noise Token Pruning Mingxing Rao Bohan Jiang Daniel Moyer ViT 89 0 0 27 Nov 2024
An Information Criterion for Controlled Disentanglement of Multimodal Data Chenyu Wang Sharut Gupta Xinyi Zhang Sana Tonekaboni Stefanie Jegelka Tommi Jaakkola Caroline Uhler DRL 64 2 0 31 Oct 2024
Look Twice Before You Answer: Memory-Space Visual Retracing for Hallucination Mitigation in Multimodal Large Language Models Xin Zou Yizhou Wang Yibo Yan Yuanhuiyi Lyu Kening Zheng ... Junkai Chen Peijie Jiang Qingbin Liu Chang Tang Xuming Hu 100 8 0 04 Oct 2024
Task-Augmented Cross-View Imputation Network for Partial Multi-View Incomplete Multi-Label Classification Xiaohuan Lu Lian Zhao Wai Keung Wong Jie Wen Jiang Long Wulin Xie 50 1 0 12 Sep 2024
Information Bottleneck Approach to Spatial Attention Learning Qiuxia Lai Yu Li Ailing Zeng Minhao Liu Hanqiu Sun Qiang Xu 43 9 0 07 Aug 2021
Nonlinear Information Bottleneck Artemy Kolchinsky Brendan D. Tracey David Wolpert 48 154 0 06 May 2017
Opening the Black Box of Deep Neural Networks via Information Ravid Shwartz-Ziv Naftali Tishby AI4CE 79 1,406 0 02 Mar 2017
Variational Dropout and the Local Reparameterization Trick Diederik P. Kingma Tim Salimans Max Welling BDL 159 1,500 0 08 Jun 2015
Bayesian Convolutional Neural Networks with Bernoulli Approximate Variational Inference Y. Gal Zoubin Ghahramani UQCV BDL 249 747 0 06 Jun 2015
Deep Learning and the Information Bottleneck Principle Naftali Tishby Noga Zaslavsky DRL 132 1,570 0 09 Mar 2015
Striving for Simplicity: The All Convolutional Net Jost Tobias Springenberg Alexey Dosovitskiy Thomas Brox Martin Riedmiller FAtt 181 4,653 0 21 Dec 2014
Recurrent Models of Visual Attention Volodymyr Mnih N. Heess Alex Graves Koray Kavukcuoglu VLM 110 3,645 0 24 Jun 2014
Representation Learning: A Review and New Perspectives Yoshua Bengio Aaron Courville Pascal Vincent OOD SSL 184 12,384 0 24 Jun 2012
Classification with Scattering Operators Joan Bruna S. Mallat 75 149 0 12 Nov 2010