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Neural Networks

11300 directly classified papers

Papers per year

Papers

Feature Distribution Matching by Optimal Transport for Effective and Robust Coreset Selection AAAI 2024
Another Way to the Top: Exploit Contextual Clustering in Learned Image Coding AAAI 2024
CoFie: Learning Compact Neural Surface Representations with Coordinate Fields NIPS 2024
Multi-Domain Deep Learning from a Multi-View Perspective for Cross-Border E-commerce Search AAAI 2024
Understanding and Improving Optimization in Predictive Coding Networks AAAI 2024
Operator-Learning-Inspired Modeling of Neural Ordinary Differential Equations AAAI 2024
Taming the Sigmoid Bottleneck: Provably Argmaxable Sparse Multi-Label Classification AAAI 2024
ResDiff: Combining CNN and Diffusion Model for Image Super-resolution AAAI 2024
STEM: Unleashing the Power of Embeddings for Multi-Task Recommendation AAAI 2024
Dynamic Neural Regeneration: Enhancing Deep Learning Generalization on Small Datasets NIPS 2024
Towards Diverse Perspective Learning with Selection over Multiple Temporal Poolings AAAI 2024
ModWaveMLP: MLP-Based Mode Decomposition and Wavelet Denoising Model to Defeat Complex Structures in Traffic Forecasting AAAI 2024
StockMixer: A Simple Yet Strong MLP-Based Architecture for Stock Price Forecasting AAAI 2024
Scaled Conjugate Gradient Method for Nonconvex Optimization in Deep Neural Networks JMLR 2024
Dense Projection for Anomaly Detection AAAI 2024
DCDepth: Progressive Monocular Depth Estimation in Discrete Cosine Domain NIPS 2024
Neural Networks with Sparse Activation Induced by Large Bias: Tighter Analysis with Bias-Generalized NTK JMLR 2024
Unveiling Implicit Deceptive Patterns in Multi-Modal Fake News via Neuro-Symbolic Reasoning AAAI 2024
Learning Accurate and Bidirectional Transformation via Dynamic Embedding Transportation for Cross-Domain Recommendation AAAI 2024
End-to-End Learning of LTLf Formulae by Faithful LTLf Encoding AAAI 2024
The Loss Landscape of Deep Linear Neural Networks: a Second-order Analysis JMLR 2024
HEALNet: Multimodal Fusion for Heterogeneous Biomedical Data NIPS 2024
Distribution Learning via Neural Differential Equations: A Nonparametric Statistical Perspective JMLR 2024
CrystalBox: Future-Based Explanations for Input-Driven Deep RL Systems AAAI 2024
Law of Large Numbers and Central Limit Theorem for Wide Two-layer Neural Networks: The Mini-Batch and Noisy Case JMLR 2024