transformer architecture

1555 papers

Explore in graph

Also known as

TTE STTR TGT DIT ENT BERT DETR ROBERTA TA

Co-occurring keywords

attention mechanism (3975) neural machine translation (2310) transformer model (1988) representation learning (6174) language model (4573) neural network (6616) self-attention mechanism (350) multimodal learning (4622) machine translation (2472) large language model (12755)

Papers

LiDAR-DHMT: LiDAR-Adaptive Dual Hierarchical Mask Transformer for Robust Freespace Detection and Semantic Segmentation WACV 2026

Transformer-Based Inpainting for Real-Time 3D Streaming in Sparse Multi-Camera Setups WACV 2026

ODEt(ODEl): Shortcutting the Time and the Length in Diffusion and Flow Models for Faster Sampling WACV 2026

Beyond Semantics: How Temporal Biases Shapes Retrieval in Transformer and State-Space Models EACL 2026

OPFormer: Object Pose Estimation Leveraging Foundation Model with Geometric Encoding WACV 2026

GateFusion: Hierarchical Gated Cross-Modal Fusion for Active Speaker Detection WACV 2026

CSF-Net: Context-Semantic Fusion Network for Large Mask Inpainting WACV 2026

Timestamp Query Transformer for Temporal Action Segmentation WACV 2026

Multi-Modal Soccer Scene Analysis with Masked Pre-Training WACV 2026

VISTA: A Vision and Intent-Aware Social Attention Framework for Multi-Agent Trajectory Prediction WACV 2026

DenseBEV: Transforming BEV Grid Cells into 3D Objects WACV 2026

Multimodal Coarse-to-Local Transformer for End-to-End Autonomous Driving (Student Abstract) AAAI 2026

Context-Aware Diffusion for Telemetry Time Series with Permutation-Stable Feature Modeling (Student Abstract) AAAI 2026

TransMamba: A Sequence-Level Hybrid Transformer-Mamba Language Model AAAI 2026

QuEPT: Quantized Elastic Precision Transformers with One-Shot Calibration for Multi-Bit Switching AAAI 2026

EMAformer: Enhancing Transformer Through Embedding Armor for Time Series Forecasting AAAI 2026

MultiTab: A Scalable Foundation for Multitask Learning on Tabular Data AAAI 2026

T3former: Temporal Graph Classification with Topological Machine Learning AAAI 2026

Transformers in Pseudo-Random Number Generation: A Dual Perspective on Theory and Practice AAAI 2026

MIDILM: A Dual-Path Model for Controllable Text-to-MIDI Generation AAAI 2026

UniSketch: A Unified Framework for Parametric Sketch Generation and Constraint Prediction AAAI 2026

STrans: Spontaneous Architecture Evolution for Adaptive Time Series Forecasting AAAI 2026

Robust Detection of Synthetic Tabular Data Under Schema Variability AAAI 2026

Tab-PET: Graph-Based Positional Encodings for Tabular Transformers AAAI 2026

Difficulty-Aware Learning Curve Extrapolation AAAI 2026