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Neural Networks

11300 directly classified papers

Papers per year

Papers

Probing Neural Network Generalization using Default Patterns NAACL 2025
Exploring Sparse MoE in GANs for Text-conditioned Image Synthesis CVPR 2025
BF-STVSR: B-Splines and Fourier---Best Friends for High Fidelity Spatial-Temporal Video Super-Resolution CVPR 2025
wavCSE: Learning Fixed-size Unified Speech Embeddings via Feature-based Multi-Task Learning AACL 2025
Characterizing Mamba’s Selective Memory using Auto-Encoders AACL 2025
STFXNLP at SemEval-2025 Task 11 Track A: Neural Network, Schema, and Next Word Prediction-based Approaches to Perceived Emotion Detection SEMEVAL 2025
Characterizing Mamba’s Selective Memory using Auto-Encoders IJCNLP 2025
Fine-Grained Detection of AI-Generated Text Using Sentence-Level Segmentation IJCNLP 2025
SyntaxMind at BLP-2025 Task 1: Leveraging Attention Fusion of CNN and GRU for Hate Speech Detection IJCNLP 2025
A Semantically Impactful Image Manipulation Dataset: Characterizing Image Manipulations using Semantic Significance WACV 2025
LLS: Local Learning Rule for Deep Neural Networks Inspired by Neural Activity Synchronization WACV 2025
Quantum-Infused Whisper: A Framework for Replacing Classical Components IJCNLP 2025
Random ReLU Neural Networks as Non-Gaussian Processes JMLR 2025
On Non-asymptotic Theory of Recurrent Neural Networks in Temporal Point Processes JMLR 2025
Enhanced Feature Learning via Regularisation: Integrating Neural Networks and Kernel Methods JMLR 2025
Physics Informed Kolmogorov-Arnold Neural Networks for Dynamical Analysis via Efficient-KAN and WAV-KAN JMLR 2025
A Unified Framework to Enforce, Discover, and Promote Symmetry in Machine Learning JMLR 2025
HOPE: A Memory-Based and Composition-Aware Framework for Zero-Shot Learning with Hopfield Network and Soft Mixture of Experts WACV 2025
Global Convergence of Adjoint-Optimized Neural PDEs JMLR 2025
Guardian of the Ensembles: Introducing Pairwise Adversarially Robust Loss for Resisting Adversarial Attacks in DNN Ensembles WACV 2025
BioNet and NeFF: Crop Biomass Prediction from Point Clouds to Drone Imagery WACV 2025
Tightening Robustness Verification of MaxPool-based Neural Networks via Minimizing the Over-Approximation Zone CVPR 2025
SEMU-Net: A Segmentation-Based Corrector for Fabrication Process Variations of Nanophotonics with Microscopic Images WACV 2025
Precise Integral in NeRFs: Overcoming the Approximation Errors of Numerical Quadrature WACV 2025
Enriching Local Patterns with Multi-Token Attention for Broad-Sight Neural Networks WACV 2025