Neural Networks

Matrix Manifold Neural Networks++ ICLR 2024 MatrixNet: Learning over symmetry groups using learned group representations NeurIPS 2024 MccSTN: Multi-Scale Contrast and Fine-Grained Feature Fusion Networks for Subject-driven Style Transfer COLING 2024 MCNet: Rethinking the Core Ingredients for Accurate and Efficient Homography Estimation CVPR 2024 Mean-Field Analysis for Learning Subspace-Sparse Polynomials with Gaussian Input NeurIPS 2024 Mean-field Analysis on Two-layer Neural Networks from a Kernel Perspective ICML 2024 Mechanistic Neural Networks for Scientific Machine Learning ICML 2024 Med-DANet V2: A Flexible Dynamic Architecture for Efficient Medical Volumetric Segmentation WACV 2024 Megalodon: Efficient LLM Pretraining and Inference with Unlimited Context Length NeurIPS 2024 Memoria: Resolving Fateful Forgetting Problem through Human-Inspired Memory Architecture ICML 2024 Memorization Capacity for Additive Fine-Tuning with Small ReLU Networks UAI 2024 Memorization Capacity of Multi-Head Attention in Transformers ICLR 2024 Memorization Through the Lens of Curvature of Loss Function Around Samples ICML 2024 Memorization With Neural Nets: Going Beyond the Worst Case JMLR 2024 Memory-Consistent Neural Networks for Imitation Learning ICLR 2024 Memory-Efficient Reversible Spiking Neural Networks AAAI 2024 Memory of recurrent networks: Do we compute it right? JMLR 2024 Merge, Then Compress: Demystify Efficient SMoE with Hints from Its Routing Policy ICLR 2024 MeshPose: Unifying DensePose and 3D Body Mesh Reconstruction CVPR 2024 MetaMix: Meta-State Precision Searcher for Mixed-Precision Activation Quantization AAAI 2024 MgNO: Efficient Parameterization of Linear Operators via Multigrid ICLR 2024 Mimic: Speaking Style Disentanglement for Speech-Driven 3D Facial Animation AAAI 2024 Minimax optimality of convolutional neural networks for infinite dimensional input-output problems and separation from kernel methods ICLR 2024 Minimum width for universal approximation using ReLU networks on compact domain ICLR 2024 Mitigating Privacy Risk in Membership Inference by Convex-Concave Loss ICML 2024