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Transformers

9294 directly classified papers

Papers per year

Papers

Towards Long-window Anchoring in Vision-Language Model Distillation AAAI 2026

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

Text-based Aerial-Ground Person Retrieval AAAI 2026

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

Positional Bias in Multimodal Embedding Models: Do They Favor the Beginning, the Middle, or the End? AAAI 2026

AVM: Towards Structure-Preserving Neural Response Modeling in the Visual Cortex Across Stimuli and Individuals AAAI 2026

TrinityDNA: A Bio-Inspired Foundational Model for Efficient Long-Sequence DNA Modeling AAAI 2026

MedSpaformer: A Transferable Transformer with Multi-Granularity Token Sparsification for Medical Time Series Classification 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

SecMoE: Communication-Efficient Secure MoE Inference via Select-Then-Compute AAAI 2026

Sonnet: Spectral Operator Neural Network for Multivariable Time Series Forecasting AAAI 2026

WaveFormer: Frequency-Time Decoupled Vision Modeling with Wave Equation AAAI 2026

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

Group-aware Multiscale Ensemble Learning for Test-Time Multimodal Sentiment Analysis 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

AdaReason: Progressive Training of Multi-LoRA Adapters for Budget-Adaptive Language Reasoning Models AAAI 2026

Symphony-MoE: Harmonizing Disparate Pre-trained Models into a Coherent Mixture-of-Experts AAAI 2026

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

Early Warning of Intraoperative Adverse Events via Transformer-Driven Multi-Label Learning AAAI 2026

Decoupled Spatiotemporal Forecasting from Extreme Sparse Observations via Quantized Latent Space AAAI 2026

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

EfficientFSL: Enhancing Few-Shot Classification via Query-Only Tuning In Vision Transformers AAAI 2026

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