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Model Architecture

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Papers

Neuron Specialization: Leveraging Intrinsic Task Modularity for Multilingual Machine Translation EMNLP 2024 Neuro-Visualizer: A Novel Auto-Encoder-Based Loss Landscape Visualization Method With an Application in Knowledge-Guided Machine Learning ICML 2024 NeurRev: Train Better Sparse Neural Network Practically via Neuron Revitalization ICLR 2024 NILUT: Conditional Neural Implicit 3D Lookup Tables for Image Enhancement AAAI 2024 Noise-Aware Algorithm for Heterogeneous Differentially Private Federated Learning ICML 2024 Non-convolutional graph neural networks. NeurIPS 2024 Non-Stationary Learning of Neural Networks with Automatic Soft Parameter Reset NeurIPS 2024 Null Space Matters: Range-Null Decomposition for Consistent Multi-Contrast MRI Reconstruction AAAI 2024 Object Dynamics Modeling with Hierarchical Point Cloud-based Representations CVPR 2024 ODGS: 3D Scene Reconstruction from Omnidirectional Images with 3D Gaussian Splattings NeurIPS 2024 OFELIA: Optical Flow-based Electrode LocalIzAtion MIDL 2024 Once for Both: Single Stage of Importance and Sparsity Search for Vision Transformer Compression CVPR 2024 Once Read is Enough: Domain-specific Pretraining-free Language Models with Cluster-guided Sparse Experts for Long-tail Domain Knowledge NeurIPS 2024 One Forward is Enough for Neural Network Training via Likelihood Ratio Method ICLR 2024 One More Step: A Versatile Plug-and-Play Module for Rectifying Diffusion Schedule Flaws and Enhancing Low-Frequency Controls CVPR 2024 One-Step Diffusion Distillation through Score Implicit Matching NeurIPS 2024 One-Step Forward and Backtrack: Overcoming Zig-Zagging in Loss-Aware Quantization Training AAAI 2024 One-step Spiking Transformer with a Linear Complexity IJCAI 2024 On Giant's Shoulders: Effortless Weak to Strong by Dynamic Logits Fusion NeurIPS 2024 On the Over-Memorization During Natural, Robust and Catastrophic Overfitting ICLR 2024 On the Scalability of Diffusion-based Text-to-Image Generation CVPR 2024 On the Semantic Latent Space of Diffusion-Based Text-To-Speech Models ACL 2024 On the Use of Anchoring for Training Vision Models NeurIPS 2024 Optimized Speculative Sampling for GPU Hardware Accelerators EMNLP 2024 Optimizing Instructions and Demonstrations for Multi-Stage Language Model Programs EMNLP 2024