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activation function

182 papers

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AF

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neural network (54) neural network optimization (28) deep neural network (13) convolutional neural network (12) deep learning (11) gradient descent (10) function approximation (9) model compression (9) approximation theory (8) gaussian process (8)

Papers

AcTTA: Rethinking Test-Time Adaptation via Dynamic Activation CVPR 2026 Exploiting Space Folding by Neural Networks AAAI 2026 Revisiting Vision-Language Foundations for No-Reference Image Quality Assessment WACV 2026 Stronger Normalization-Free Transformers CVPR 2026 Tighter Truncated Rectangular Prism Approximation for RNN Robustness Verification AAAI 2026 A Renormalization Group Framework for Scale-Invariant Feature Learning in Deep Neural Networks (Student Abstract) AAAI 2025 Can Adversarial Examples Be Parsed to Reveal Victim Model Information? WACV 2025 Can Transformers Do Enumerative Geometry? ICLR 2025 Capacity Matters: a Proof-of-Concept for Transformer Memorization on Real-World Data ACL 2025 Do We Always Need the Simplicity Bias? Looking for Optimal Inductive Biases in the Wild CVPR 2025 Entropy-based Activation Function Optimization: A Method on Searching Better Activation Functions ICLR 2025 Floating-Point Neural Networks Can Represent Almost All Floating-Point Functions ICML 2025 FreSh: Frequency Shifting for Accelerated Neural Representation Learning ICLR 2025 From KAN to GR-KAN: Advancing Speech Enhancement with KAN-Based Methodology Interspeech 2025 Global Convergence in Neural ODEs: Impact of Activation Functions ICLR 2025 Is uniform expressivity too restrictive? Towards efficient expressivity of GNNs ICLR 2025 LayerAct: Advanced Activation Mechanism for Robust Inference of CNNs AAAI 2025 Learning Kolmogorov-Arnold Neural Activation Functions by Infinite-Dimensional Optimization L4DC 2025 Lessons Learnt: Revisit Key Training Strategies for Effective Speech Emotion Recognition in the Wild Interspeech 2025 MetaSymNet: A Tree-like Symbol Network with Adaptive Architecture and Activation Functions AAAI 2025 MIRE: Matched Implicit Neural Representations CVPR 2025 Multi-band Frequency Reconstruction for Neural Psychoacoustic Coding ICML 2025 NEAR: A Training-Free Pre-Estimator of Machine Learning Model Performance ICLR 2025 Optimizing Neural Network Effectiveness via Non-Monotonicity Refinement WACV 2025 Polynomial Composition Activations: Unleashing the Dynamics of Large Language Models ICLR 2025