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Methods/Dense Connections

Dense Connections

GeneralIntroduced 200029235 papers

Description

Dense Connections, or Fully Connected Connections, are a type of layer in a deep neural network that use a linear operation where every input is connected to every output by a weight. This means there are n_inputs∗n_outputsn\_{\text{inputs}}*n\_{\text{outputs}}n_inputs∗n_outputs parameters, which can lead to a lot of parameters for a sizeable network.

h_l=g(WTh_l−1)h\_{l} = g\left(\textbf{W}^{T}h\_{l-1}\right)h_l=g(WTh_l−1)

where ggg is an activation function.

Image Source: Deep Learning by Goodfellow, Bengio and Courville

Papers Using This Method

Making Language Model a Hierarchical Classifier and Generator2025-07-17DASViT: Differentiable Architecture Search for Vision Transformer2025-07-17Best Practices for Large-Scale, Pixel-Wise Crop Mapping and Transfer Learning Workflows2025-07-16DVFL-Net: A Lightweight Distilled Video Focal Modulation Network for Spatio-Temporal Action Recognition2025-07-16Langevin Flows for Modeling Neural Latent Dynamics2025-07-15Generative Click-through Rate Prediction with Applications to Search Advertising2025-07-15Biological Processing Units: Leveraging an Insect Connectome to Pioneer Biofidelic Neural Architectures2025-07-15KV-Latent: Dimensional-level KV Cache Reduction with Frequency-aware Rotary Positional Embedding2025-07-15Hashed Watermark as a Filter: Defeating Forging and Overwriting Attacks in Weight-based Neural Network Watermarking2025-07-15Token Compression Meets Compact Vision Transformers: A Survey and Comparative Evaluation for Edge AI2025-07-13Learning from Synthetic Labs: Language Models as Auction Participants2025-07-12Comparative Analysis of Vision Transformers and Traditional Deep Learning Approaches for Automated Pneumonia Detection in Chest X-Rays2025-07-11Chat-Ghosting: A Comparative Study of Methods for Auto-Completion in Dialog Systems2025-07-08SARA: Selective and Adaptive Retrieval-augmented Generation with Context Compression2025-07-08Agent KB: Leveraging Cross-Domain Experience for Agentic Problem Solving2025-07-08Geo-Registration of Terrestrial LiDAR Point Clouds with Satellite Images without GNSS2025-07-08Tile-Based ViT Inference with Visual-Cluster Priors for Zero-Shot Multi-Species Plant Identification2025-07-08Detecting and Mitigating Reward Hacking in Reinforcement Learning Systems: A Comprehensive Empirical Study2025-07-08A Wireless Foundation Model for Multi-Task Prediction2025-07-08Growing Transformers: Modular Composition and Layer-wise Expansion on a Frozen Substrate2025-07-08