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Transformers

9294 directly classified papers

Papers per year

Papers

CometNet: Contextual Motif-guided Long-term Time Series Forecasting AAAI 2026

Self-Indexing KVCache: Predicting Sparse Attention from Compressed Keys AAAI 2026

Stationary and Clustering Transformer Hashing for Cross-modal Retrieval AAAI 2026

HALoRA: Low-Rank Adaptation with Hierarchical Budget Allocation for Efficient Vision-Language Alignment AAAI 2026

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

ITPP: Learning Disentangled Event Dynamics in Marked Temporal Point Processes AAAI 2026

Logic Unseen: Revealing the Logical Blindspots of Vision-Language Models AAAI 2026

MHA2MLA-VLM: Enabling DeepSeek’s Economical Multi-Head Latent Attention Across Vision-Language Models AAAI 2026

Towards Better Code Understanding in Decoder-Only Models with Contrastive Learning AAAI 2026

Symmetry-Aware Transformer Training for Automated Planning AAAI 2026

STELAR-VISION: Self-Topology-Aware Efficient Learning for Aligned Reasoning in Vision AAAI 2026

VITA: Variational Pretraining of Transformers for Climate-Robust Crop Yield Forecasting AAAI 2026

ALERT: Adversarial Learning Enhanced Stability-aware Routing Transformer for Adaptive Depression Detection AAAI 2026

ConstructAI: From Real-Time Safety Insight to Skill Growth in Deployed Construction AI Systems AAAI 2026

Life, Machine Learning, and the Search for Habitability: Predicting Biosignature Fluxes for the Habitable Worlds Observatory AAAI 2026

Cumulant Attention in Vision Transformers (Student Abstract) AAAI 2026

Feasibility-Aware Masked Transformer for the Pickup-and-Delivery Problem with Time Windows (Student Abstract) AAAI 2026

VulnBench: A Comprehensive Benchmark for Transformer-Based Vulnerability Detection AAAI 2026

MulTiCast: A Multimodal Time Series Forecasting System AAAI 2026

Synergizing Multigrid Algorithms with Vision Transformer: A Novel Approach to Enhance the Seismic Foundation Model AAAI 2026

Melodia: Training-Free Music Editing Guided by Attention Probing in Diffusion Models AAAI 2026

Sortblock: Similarity-Aware Feature Reuse for Diffusion Model AAAI 2026

DeNAS-ViT: Data Efficient NAS-Optimized Vision Transformer for Ultrasound Image Segmentation AAAI 2026

RAPTOR: Real-Time High-Resolution UAV Video Prediction with Efficient Video Attention AAAI 2026

Boosting Resolution Generalization of Diffusion Transformers with Randomized Positional Encodings AAAI 2026