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Neural Networks

11300 directly classified papers

Papers per year

Papers

Emerging Advances in Learned Video Compression: Models, Systems and Beyond IJCAI 2025
Run Like a Neural Network, Explain Like k-Nearest Neighbor IJCAI 2025
FreqMoE: Dynamic Frequency Enhancement for Neural PDE Solvers IJCAI 2025
SL2A-INR: Single-Layer Learnable Activation for Implicit Neural Representation ICCV 2025
Polarimetric Neural Field via Unified Complex-Valued Wave Representation ICCV 2025
PAN-Crafter: Learning Modality-Consistent Alignment for PAN-Sharpening ICCV 2025
ArgMatch: Adaptive Refinement Gathering for Efficient Dense Matching ICCV 2025
ContraGS: Codebook-Condensed and Trainable Gaussian Splatting for Fast, Memory-Efficient Reconstruction ICCV 2025
UniConvNet: Expanding Effective Receptive Field while Maintaining Asymptotically Gaussian Distribution for ConvNets of Any Scale ICCV 2025
AG-VPReID: A Challenging Large-Scale Benchmark for Aerial-Ground Video-based Person Re-Identification CVPR 2025
NN-Defined Modulator: Reconfigurable and Portable Software Modulator on IoT Gateways NSDI 2024
A deep learning approach for distributed aggregative optimization with users’ Feedback L4DC 2024
Topological Expressivity of ReLU Neural Networks COLT 2024
Mapping back and forth between model predictive control and neural networks L4DC 2024
Stochastic Kernel Regularisation Improves Generalisation in Deep Kernel Machines NIPS 2024
Learning locally interacting discrete dynamical systems: Towards data-efficient and scalable prediction L4DC 2024
Harmonics of Learning: Universal Fourier Features Emerge in Invariant Networks COLT 2024
System-level safety guard: Safe tracking control through uncertain neural network dynamics models L4DC 2024
Mixing classifiers to alleviate the accuracy-robustness trade-off L4DC 2024
Towards bio-inspired control of aerial vehicle: Distributed aerodynamic parameters for state prediction L4DC 2024
The Feature Speed Formula: a flexible approach to scale hyper-parameters of deep neural networks NIPS 2024
Verification of neural reachable tubes via scenario optimization and conformal prediction L4DC 2024
PlanNetX: Learning an efficient neural network planner from MPC for longitudinal control L4DC 2024
Learning sum of diverse features: computational hardness and efficient gradient-based training for ridge combinations COLT 2024
Parameter-adaptive approximate MPC: Tuning neural-network controllers without retraining L4DC 2024