model architecture

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 OWSM v3.1: Better and Faster Open Whisper-Style Speech Models based on E-Branchformer Interspeech 2024 PerFedRLNAS: One-for-All Personalized Federated Neural Architecture Search AAAI 2024 Principled Architecture-aware Scaling of Hyperparameters ICLR 2024 RepViT: Revisiting Mobile CNN From ViT Perspective CVPR 2024 Rewiring the Transformer with Depth-Wise LSTMs COLING 2024 RMT: Retentive Networks Meet Vision Transformers CVPR 2024 Scalable Neural Network Kernels ICLR 2024 Scaling Laws Across Model Architectures: A Comparative Analysis of Dense and MoE Models in Large Language Models EMNLP 2024 Scaling Supervised Local Learning with Augmented Auxiliary Networks ICLR 2024 SHViT: Single-Head Vision Transformer with Memory Efficient Macro Design CVPR 2024 Speech Translation with Speech Foundation Models and Large Language Models: What is There and What is Missing? ACL 2024 Spike-driven Transformer V2: Meta Spiking Neural Network Architecture Inspiring the Design of Next-generation Neuromorphic Chips ICLR 2024 START: A Generalized State Space Model with Saliency-Driven Token-Aware Transformation NeurIPS 2024 Strengthening Layer Interaction via Dynamic Layer Attention IJCAI 2024 Towards Accurate and Robust Architectures via Neural Architecture Search CVPR 2024 Understanding the Gains from Repeated Self-Distillation NeurIPS 2024 Video-Language Understanding: A Survey from Model Architecture, Model Training, and Data Perspectives ACL 2024 VISPool: Enhancing Transformer Encoders with Vector Visibility Graph Neural Networks ACL 2024 What's in a Prior? Learned Proximal Networks for Inverse Problems ICLR 2024 You Only Need Less Attention at Each Stage in Vision Transformers CVPR 2024 ZipIt! Merging Models from Different Tasks without Training ICLR 2024 Accurate Image Restoration with Attention Retractable Transformer ICLR 2023 An Empirical Study of Metrics to Measure Representational Harms in Pre-Trained Language Models ACL 2023