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Model Architecture

4351 directly classified papers

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Papers

lrnnx: A library for Linear RNNs EACL 2026

Beyond Unified Models: A Service-Oriented Approach to Low Latency, Context Aware Phonemization for Real Time TTS EACL 2026

Geometric Interpretation of Layer Normalization and a Comparative Analysis with RMSNorm EACL 2026

GrowTAS: Progressive Expansion from Small to Large Subnets for Efficient ViT Architecture Search WACV 2026

Efficient Vision Transformers via Token Merging with Head-wise Attention Correction WACV 2026

RemEdit: Efficient Diffusion Editing with Riemannian Geometry WACV 2026

Optimization-Free Style Transfer for 3D Gaussian Splats WACV 2026

ArchitectHead: Continuous Level of Detail Control for 3D Gaussian Head Avatars WACV 2026

TacticalCalib: End-to-End 6-DoF Camera Pose Regression for Tactical Camera Calibration WACV 2026

SENCA-st: Integrating Spatial Transcriptomics and Histopathology with Cross Attention Shared Encoder for Region Identification in Cancer Pathology WACV 2026

Causality-Driven Audits of Model Robustness WACV 2026

MoSCo: Real-time and Efficient Text-to-Motion Synthesis via Delta Training WACV 2026

TM-Adapter: Temporal Merge Adapter for Efficient Global Temporal Modeling WACV 2026

SIAM: Synchronous Interaction Attention for Human Mesh Recovery WACV 2026

Leveraging Semantic Attribute Binding for Free-Lunch Color Control in Diffusion Models WACV 2026

Enabling High-Quality In-the-Wild Imaging from Severely Aberrated Metalens Bursts WACV 2026

Conditional Text-to-Image Generation with Reference Guidance WACV 2026

Reconstructing Realistic and Relightable Eyes WACV 2026

Optimizing LoRA Allocation of MoE with the Alignment of Topic Correlation AAAI 2026

MULTIBENCH++: A Unified and Comprehensive Multimodal Fusion Benchmarking Across Specialized Domains AAAI 2026

Make Foundation Models Trustworthy Again: Causal Fine-Adaptation for Medical Image Segmentation AAAI 2026

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

Forgetting Knowledge Localization and Isolation for Continual Forgetting of Pre-trained Vision Models AAAI 2026

How Wide and How Deep? Mitigating Over-squashing of GNNs via Channel Capacity Constrained Estimation AAAI 2026

Learning Topology-Driven Multi-Subspace Fusion for Grassmannian Deep Networks AAAI 2026