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Transformers

9294 directly classified papers

Papers per year

Papers

Adaptive-Learngene: Continual Expansion and Task-Aware Selection of Learngenes for Dynamic Environments AAAI 2026

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

Feature-Aware One-Shot Federated Learning via Hierarchical Token Sequences AAAI 2026

IndoorUAV: Benchmarking Vision-Language UAV Navigation in Continuous Indoor Environments AAAI 2026

Rethinking Irregular Time Series Forecasting: A Simple Yet Effective Baseline AAAI 2026

Sparse-Scale Transformer with Bidirectional Awareness for Time Series Forecasting AAAI 2026

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

Continuous Vision-Language-Action Co-Learning with Semantic-Physical Alignment for Behavioral Cloning AAAI 2026

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

Vision Transformers Are Circulant Attention Learners AAAI 2026

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

HMformer: Unleashing Transformer’s Potential for Time Series Forecasting via Hierarchical Multi-Scale Modeling AAAI 2026

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

UQ-ViT: Harmonizing Extreme Activations with Hardware-Friendly Uniform Quantization in Vision Transformers AAAI 2026

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

Robust Detection of Synthetic Tabular Data Under Schema Variability AAAI 2026

Cooperative Graph Transformer with Structural Consensus for Multi-View Learning AAAI 2026

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

Stratified Knowledge-Density Super-Network for Scalable Vision Transformers AAAI 2026

Difficulty-Aware Learning Curve Extrapolation AAAI 2026

ProCache: Constraint-Aware Feature Caching with Selective Computation for Diffusion Transformer Acceleration AAAI 2026

Do We Truly Need So Many Samples? Multi-LLM Repeated Sampling Efficiently Scales Test-Time Compute AAAI 2026

Extracting Multimodal Learngene in CLIP: Unveiling the Multimodal Generalizable Knowledge 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