Key papers

• Explicit Over Implicit: Enhancing CNNs Via Complex Structure Tensor Representations for Periocular Recognition (2026)
  Kevin Hernandez-Diaz et al.
  5.01
• Flash EQ-Linear: Accelerating Equivariant Linear Layers via Group-wise Discrete Fourier Transform (2026)
  Zhongchen Zhao et al.
  5.01
• Local Synaptic Rules Can Implement a SIGReg Gradient Without Backpropagation (2026)
  Martin Andrews
  5.01
• Spiking Transformer:Introducing Accurate Addition-Only Spiking Self-Attention for Transformer (2025)
  Yufei Guo et al.
  4.82
• A Lightweight Convolution and Vision Transformer integrated model with Multi-scale Self-attention Mechanism (2025)
  Yi Zhang et al.
  4.58
• Foundations of Equivariant Deep Learning: Unifying Graph and Sheaf Neural Networks (2026)
  Yoshihiro Maruyama
  4.39
• A Theory of Contrastive Learning with Natural Images (2026)
  Antonio Torralba et al.
  4.39
• All you need is SAMPAT (2026)
  Jayadeva et al.
  4.39
• Do Transformer Temporal Heads and Post-Pooling Motion Gates Help CorrNet-based CSLR? An Empirical Study (2026)
  Lisi Wang et al.
  4.39
• Towards Efficient Convolutional Neural Network for Embedded Hardware via Multi-Dimensional Pruning (2026)
  Hao Kong et al.
  4.39
• Similarity-Guided Curriculum Fine-Tuning of LLMs for Neural Architecture Synthesis (2026)
  Anujaya Vijayakumar et al.
  4.39
• Beyond Backbone Backpropagation: A Decoupled Strategy for Efficient Transfer Learning (2026)
  Daniel Vila-Cruz et al.
  4.39
• FastCentNN: Accelerating Centroid Neural Network with Entropy Proxy (2026)
  Le-Anh Tran
  4.39
• Detecting Neural Network Failures through Spectral Analysis of Internal Activations (2026)
  Arunan J
  4.39
• Neural Subspace Reallocation: Continual Learning as Retrieval-Based Subspace Memory Management (2026)
  Byeong Hoon Yoon
  4.33
• Intrinsically Stable Spiking Neural Networks: Overcoming the Performance Barrier in the Absence of Batch Normalization (2026)
  Ruichen Ma et al.
  4.33
• SpikeLogBERT: Energy-Efficient Log Parsing Using Spiking Transformer Networks (2026)
  Thuan Bui et al.
  4.33
• RainODE: Continuous-Time Precipitation Forecasting with Latent Neural ODEs (2026)
  Yeeun Seong et al.
  3.45
• HASTE: A Framework for Training-Free, Dynamic, and Steerable Compression of Pre-Trained Convolutional Neural Networks (2026)
  Lukas Meiner et al.
  3.45
• Kuramoto Oscillatory Phase Encoding: Neuro-inspired Synchronization for Improved Learning Efficiency (2026)
  Mingqing Xiao et al.
  3.34
• Finite Difference Flow Optimization for RL Post-Training of Text-to-Image Models (2026)
  David McAllister et al.
  3.28
• Revisiting the Platonic Representation Hypothesis: An Aristotelian View (2026)
  Fabian Gr\"oger et al.
  3.23
• Neural Particle Automata: Learning Self-Organizing Particle Dynamics (2026)
  Hyunsoo Kim et al.
  3.17
• Real-Time Crowd Counting for Embedded Systems with Lightweight Architecture (2025)
  Zhiyuan Zhao et al.
  3.10
• E-ConvNeXt: A Lightweight and Efficient ConvNeXt Variant with Cross-Stage Partial Connections (2025)
  Fang Wang et al.
  2.99
• iiANET: Inception Inspired Attention Hybrid Network for efficient Long-Range Dependency (2024)
  Haruna Yunusa et al.
  2.98
• Towards Effective and Sparse Adversarial Attack on Spiking Neural Networks via Breaking Invisible Surrogate Gradients (2025)
  Li Lun et al.
  2.71
• Room Scene Discovery and Grouping in Unstructured Vacation Rental Image Collections (2025)
  Vignesh Ram Nithin Kappagantula et al.
  2.40
• Adaptive Time-step Training for Enhancing Spike-Based Neural Radiance Fields (2025)
  Ranxi Lin et al.
  2.40
• SAGA: Workflow-atomic Scheduling For AI Agent Inference On GPU Clusters (2026)
  Dongxin Guo, Jikun Wu, Siu Ming Yiu
  1.94
• Adaptive Local Frequency Filtering for Fourier-Encoded Implicit Neural Representations (2026)
  Ligen Shi et al.
  1.83
• Selective Depthwise Separable Convolution for Lightweight Joint Source-Channel Coding in Wireless Image Transmission (2026)
  Ming Ye et al.
  1.83
• A New Kind of Network? Review and Reference Implementation of Neural Cellular Automata (2026)
  Martin Spitznagel et al.
  1.83
• Minaction.net: Energy-first Neural Architecture Design -- From Biological Principles To Systematic Validation (2026)
  Martin G. Frasch
  1.83
• A Case Study on Concept Induction for Neuron-Level Interpretability in CNN (2026)
  Moumita Sen Sarma et al.
  1.78
• Neural Operator-Grounded Continuous Tensor Function Representation and Its Applications (2026)
  Ruoyang Su et al.
  1.78
• WTHaar-Net: a Hybrid Quantum-Classical Approach (2026)
  Vittorio Palladino and Tsai Idden and Ahmet Enis Cetin
  1.78
• Scale-invariant Gaussian derivative residual networks (2026)
  Andrzej Perzanowski and Tony Lindeberg
  1.78
• BLINK: Behavioral Latent Modeling of NK Cell Cytotoxicity (2026)
  Iman Nematollahi et al.
  1.78
• What is Missing? Explaining Neurons Activated by Absent Concepts (2026)
  Robin Hesse et al.
  1.78
• BrainSTR: Spatio-Temporal Contrastive Learning for Interpretable Dynamic Brain Network Modeling (2026)
  Guiliang Guo et al.
  1.78
• UniPINN: A Unified PINN Framework for Multi-task Learning of Diverse Navier-Stokes Equations (2026)
  Dengdi Sun et al.
  1.78
• Decoding Functional Networks for Visual Categories via GNNs (2026)
  Shira Karmi et al.
  1.78
• Neuro-Inspired Visual Pattern Recognition via Biological Reservoir Computing (2026)
  Luca Ciampi et al.
  1.72
• From Lightweight CNNs to SpikeNets: Benchmarking Accuracy-Energy Tradeoffs with Pruned Spiking SqueezeNet (2026)
  Radib Bin Kabir et al.
  1.72
• The Effective Depth Paradox: Evaluating the Relationship between Architectural Topology and Trainability in Deep CNNs (2026)
  Manfred M. Fischer and Joshua Pitts
  1.72
• LAND: A Longitudinal Analysis of Neuromorphic Datasets (2026)
  Gregory Cohen et al.
  1.72
• NESTOR: A Nested MOE-based Neural Operator for Large-Scale PDE Pre-Training (2026)
  Dengdi Sun et al.
  1.72
• One-Shot Identification with Different Neural Network Approaches (2026)
  Janis Mohr and J\"org Frochte
  1.67
• Diffusion Forcing for Multi-Agent Interaction Sequence Modeling (2025)
  Vongani H. Maluleke et al.
  1.61
• Renormalization Group Guided Tensor Network Structure Search (2025)
  Maolin Wang et al.
  1.61
• FastBoost: Progressive Attention with Dynamic Scaling for Efficient Deep Learning (2025)
  JunXi Yuan
  1.56
• Efficiently Training A Flat Neural Network Before It has been Quantizated (2025)
  Peng Xia et al.
  1.56
• LoRA-Edge: Tensor-Train-Assisted LoRA for Practical CNN Fine-Tuning on Edge Devices (2025)
  Hyunseok Kwak et al.
  1.56
• GNN-MoE: Context-Aware Patch Routing using GNNs for Parameter-Efficient Domain Generalization (2025)
  Mahmoud Soliman et al.
  1.56
• EventFlow: Real-Time Neuromorphic Event-Driven Classification of Two-Phase Boiling Flow Regimes (2025)
  Sanghyeon Chang et al.
  1.56
• Modeling Retinal Ganglion Cells with Neural Differential Equations (2025)
  Kacper Dobek et al.
  1.56
• Intriguing Properties of Dynamic Sampling Networks (2025)
  Dario Morle et al.
  1.56
• GoPrune: Accelerated Structured Pruning with $\ell_{2,p}$-Norm Optimization (2025)
  Li Xu et al.
  1.56
• Activation-Deactivation: A General Framework for Robust Post-hoc Explainable AI (2025)
  Akchunya Chanchal et al.
  1.50