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1412.6806
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Striving for Simplicity: The All Convolutional Net
International Conference on Learning Representations (ICLR), 2014
21 December 2014
Jost Tobias Springenberg
Alexey Dosovitskiy
Thomas Brox
Martin Riedmiller
FAtt
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Papers citing
"Striving for Simplicity: The All Convolutional Net"
50 / 1,916 papers shown
Derivative-Free Diffusion Manifold-Constrained Gradient for Unified XAI
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Hyungjin Chung
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DEBUG-HD: Debugging TinyML models on-device using Hyper-Dimensional computing
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Explainable Artificial Intelligence for Medical Applications: A Review
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Investigating the Effectiveness of Explainability Methods in Parkinson's Detection from Speech
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Interplay between Federated Learning and Explainable Artificial Intelligence: a Scoping Review
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A. Hilbert
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07 Nov 2024
Lost in Context: The Influence of Context on Feature Attribution Methods for Object Recognition
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Sayanta Adhikari
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Pseudo-Probability Unlearning: Towards Efficient and Privacy-Preserving Machine Unlearning
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Yijiang Li
Yue Yang
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Nuno Vasconcelos
Yinzhi Cao
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311
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04 Nov 2024
Benchmarking XAI Explanations with Human-Aligned Evaluations
Rémi Kazmierczak
Steve Azzolin
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Anna Hedström
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Goran Frehse
Baptiste Caramiaux
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CNN Explainability with Multivector Tucker Saliency Maps for Self-Supervised Models
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Leaky ReLUs That Differ in Forward and Backward Pass Facilitate Activation Maximization in Deep Neural Networks
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PAT: Parameter-Free Audio-Text Aligner to Boost Zero-Shot Audio Classification
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Debiasing Mini-Batch Quadratics for Applications in Deep Learning
International Conference on Learning Representations (ICLR), 2024
Lukas Tatzel
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Philipp Hennig
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Rethinking Visual Counterfactual Explanations Through Region Constraint
International Conference on Learning Representations (ICLR), 2024
Bartlomiej Sobieski
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Unlearning-based Neural Interpretations
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Alexandre Duplessis
Serge Belongie
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Mechanistic?
BlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP (BlackBoxNLP), 2024
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Riemann Sum Optimization for Accurate Integrated Gradients Computation
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Tackling the Accuracy-Interpretability Trade-off in a Hierarchy of Machine Learning Models for the Prediction of Extreme Heatwaves
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Corentin Herbert
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Ruo Yang
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24 Sep 2024
Facing Asymmetry -- Uncovering the Causal Link between Facial Symmetry and Expression Classifiers using Synthetic Interventions
Asian Conference on Computer Vision (ACCV), 2024
Tim Buchner
Niklas Penzel
Orlando Guntinas-Lichius
Joachim Denzler
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24 Sep 2024
Beyond Skip Connection: Pooling and Unpooling Design for Elimination Singularities
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Chengkun Sun
Jinqian Pan
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2D-OOB: Attributing Data Contribution through Joint Valuation Framework
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Jingyan Shen
Yongchan Kwon
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Towards Certified Unlearning for Deep Neural Networks
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Binchi Zhang
Yushun Dong
Tianhao Wang
Wenlin Yao
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MaskInversion: Localized Embeddings via Optimization of Explainability Maps
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On the Evaluation Consistency of Attribution-based Explanations
European Conference on Computer Vision (ECCV), 2024
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Weilong Dai
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Komei Sugiura
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Explainable Image Recognition via Enhanced Slot-attention Based Classifier
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Liangzhi Li
Jiahao Zhang
Yuta Nakashima
Hajime Nagahara
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Axiomatization of Gradient Smoothing in Neural Networks
Linjiang Zhou
Xiaochuan Shi
Chao Ma
Zepeng Wang
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