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Transformers

9294 directly classified papers

Papers per year

Papers

TrajAgg: Dual-Scale Feature Aggregation with Hybrid Training for Trajectory Similarity Computation in Free Space AAAI 2026

EPIC: Explanation of Pretrained Image Classification Networks via Prototypes AAAI 2026

H-RDT: Human Manipulation Enhanced Bimanual Robotic Manipulation AAAI 2026

History-Enhanced Two-Stage Transformer for Aerial Vision-and-Language Navigation AAAI 2026

DiTEA: Mixture-of-Experts for Vision-Language-Action Model in Robotic Manipulation AAAI 2026

TTF-VLA: Temporal Token Fusion via Pixel-Attention Integration for Vision-Language-Action Models AAAI 2026

F2SST: Frequency-to-Spatial Semantic Transfer for Few-Shot Image Classification AAAI 2026

SchellingFormer: Laplacian Matrix-guided Geometric Transformer for Robust Schelling Point Detection AAAI 2026

Efficiently Seeking Flat Minima for Better Generalization in Fine-Tuning Large Language Models and Beyond AAAI 2026

TimeMosaic: Temporal Heterogeneity Guided Time Series Forecasting via Adaptive Granularity Patch and Segment-wise Decoding AAAI 2026

AV-Edit: Multimodal Generative Sound Effect Editing via Audio-Visual Semantic Joint Control AAAI 2026

Harnessing Vision-Language Models for Time Series Anomaly Detection AAAI 2026

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

Quantum Transformer for Molecular Learning: Multi-Configuration Ground-State Energy Prediction AAAI 2026

TuckA: Hierarchical Compact Tensor Experts for Efficient Fine-Tuning AAAI 2026

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

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

Beyond Retraining: Training-Free Unknown Class Filtering for Source-Free Open Set Domain Adaptation of Vision–Language Models AAAI 2026

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

Cross Modal Fine-grained Alignment via Granularity-aware and Region-uncertain Modeling AAAI 2026

Attention Retention for Continual Learning with Vision Transformers AAAI 2026

Task Prototype-Based Knowledge Retrieval for Multi-Task Learning from Partially Annotated Data AAAI 2026

T3former: Temporal Graph Classification with Topological Machine Learning AAAI 2026

Kernelized Edge Attention: Addressing Semantic Attention Blurring in Temporal Graph Neural Networks AAAI 2026

Cumulant Attention in Vision Transformers (Student Abstract) AAAI 2026