Skip to content
conftrace_

transformer architecture

1,645 papers

Explore in graph

Also known as

TA

Co-occurring keywords · papers mentioning both

attention mechanism (207) neural machine translation (122) multimodal learning (80) representation learning (78) language model (67) self-attention mechanism (66) transformer model (66) neural network (64) large language model (63) model compression (55)

Papers

NViST: In the Wild New View Synthesis from a Single Image with Transformers CVPR 2024 ODIN: A Single Model for 2D and 3D Segmentation CVPR 2024 OmniTokenizer: A Joint Image-Video Tokenizer for Visual Generation NeurIPS 2024 OmniVec2 - A Novel Transformer based Network for Large Scale Multimodal and Multitask Learning CVPR 2024 On the In-context Generation of Language Models EMNLP 2024 Outlier-aware Slicing for Post-Training Quantization in Vision Transformer ICML 2024 Patch-Based Selection and Refinement for Early Object Detection WACV 2024 PBWR: Parametric-Building-Wireframe Reconstruction from Aerial LiDAR Point Clouds CVPR 2024 PEM: Prototype-based Efficient MaskFormer for Image Segmentation CVPR 2024 Perceiving Longer Sequences With Bi-Directional Cross-Attention Transformers NeurIPS 2024 Peri-midFormer: Periodic Pyramid Transformer for Time Series Analysis NeurIPS 2024 PFA-ERC: Psuedo-Future Augmented Dynamic Emotion Recognition in Conversations EMNLP 2024 PINNsFormer: A Transformer-Based Framework For Physics-Informed Neural Networks ICLR 2024 PointInfinity: Resolution-Invariant Point Diffusion Models CVPR 2024 Point Transformer V3: Simpler Faster Stronger CVPR 2024 Position Coupling: Improving Length Generalization of Arithmetic Transformers Using Task Structure NeurIPS 2024 Prediction of CRISPR On-Target Effects via Deep Learning EMNLP 2024 Predictor-Corrector Enhanced Transformers with Exponential Moving Average Coefficient Learning NeurIPS 2024 Preparing Lessons for Progressive Training on Language Models AAAI 2024 Pretrained Transformer Efficiently Learns Low-Dimensional Target Functions In-Context NeurIPS 2024 ProSST: Protein Language Modeling with Quantized Structure and Disentangled Attention NeurIPS 2024 Provably Transformers Harness Multi-Concept Word Semantics for Efficient In-Context Learning NeurIPS 2024 Pruning Large Language Models to Intra-module Low-rank Architecture with Transitional Activations ACL 2024 Pseudo-Siamese Blind-spot Transformers for Self-Supervised Real-World Denoising NeurIPS 2024 Puff-Net: Efficient Style Transfer with Pure Content and Style Feature Fusion Network CVPR 2024