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MaRI: The Structural Re-parameterization Breakthrough That Eliminated Redundant Computation in Kuaishou’s Ranking Models.
MaRI: How Kuaishou Solved the Hidden Redundancy Problem Plaguing Recommendation Models
MaRI: How Kuaishou Solved the Hidden Redundancy Problem Plaguing Recommendation Models | AI Systems Research AISecurity...
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Dynamics of Learning under User Choice: Overspecialization and Peer-Model Probing.
How AI Platforms Get Trapped Serving Only Their Fans—and the peer-model PROBING Fix That Breaks the Cycle
How AI Platforms Get Trapped Serving Only Their Fans—and the Peer-Probing Fix That Breaks the Cycle | AI Systems Research...
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AgentDropoutV2: Test-Time Rectify-or-Reject Pruning for Multi-Agent Systems.
AgentDropoutV2: Test-Time Rectify-or-Reject Pruning for Multi-Agent Systems
AgentDropoutV2: Test-Time Rectify-or-Reject Pruning for Multi-Agent Systems | AI Security Research AISecurity Research...
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ACCF: Adversarial Contrastive Collaborative Filtering.
ACCF: Adversarial Contrastive Collaborative Filtering
ACCF: Adversarial Contrastive Collaborative Filtering | AI Security Research AISecurity Research Machine Learning...
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The FedDRLPD system architecture.
FedDRLPD: Deep Reinforcement Learning Defense Against Poisoning Attacks in Federated Learning
FedDRLPD: Deep Reinforcement Learning Defense Against Poisoning Attacks in Federated Learning | AI Security Research...
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K2-Agent: The Cognitive Architecture That Taught AI to Think Like Humans About Mobile Tasks.
K2-Agent: Co-Evolving Know-What and Know-How for Hierarchical Mobile Device Control
K2-Agent: Co-Evolving Know-What and Know-How for Hierarchical Mobile Device Control | AI Security Research AISecurity...
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PDF: PUF-based DNN Fingerprinting for Knowledge Distillation Traceability.
PDF: PUF-based DNN Fingerprinting for Knowledge Distillation Traceability
PDF: PUF-based DNN Fingerprinting for Knowledge Distillation Traceability | AI Security Research AISecurity Research...
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Preference Score Distillation: Leveraging 2D Rewards to Align Text-to-3D Generation with Human Preference.
Preference Score Distillation: Leveraging 2D Rewards to Align Text-to-3D Generation with Human Preference
Preference Score Distillation: Leveraging 2D Rewards to Align Text-to-3D Generation with Human Preference | MedAI Research nn.Module:...
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TPMRI Framework Architecture.
TPMRI: How Three-Stage Progressive Fusion Is Solving RGB-T Tracking's Temporal Blindness
TPMRI: How Three-Stage Progressive Fusion Is Solving RGB-T Tracking’s Temporal Blindness | MedAI Research MedAI...
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RCD framework addresses three critical bottlenecks in text-to-image generation.
RCD: How Three Simple Fixes Are Solving Stable Diffusion's Biggest Problem
RCD: How Three Simple Fixes Are Solving Stable Diffusion’s Biggest Problem | MedAI Research MedAI Research...
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The WEMoE framework transforms critical MLP modules into dynamic mixture-of-experts structures while statically merging non-critical components. Input-dependent routing weights allow the model to adaptively blend task-specific knowledge, achieving superior multi-task performance over static merging methods.
WEMoE: How a Mixture-of-Experts Approach Is Solving the Multi-Task Model Merging Problem
WEMoE: How a Mixture-of-Experts Approach Is Solving the Multi-Task Model Merging Problem | MedAI Research MedAI...
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the proposed ESM-AnatTractNet model
ESM-AnatTractNet: Deep Learning for Eloquent White Matter Tractography in Pediatric Epilepsy Surgery
ESM-AnatTractNet: Deep Learning for Eloquent White Matter Tractography in Pediatric Epilepsy Surgery | MedAI Research...
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TAM: Plug-and-Play Temporal Attention Module for Motion-Guided Cardiac Segmentation
TAM: Plug-and-Play Temporal Attention Module for Motion-Guided Cardiac Segmentation
TAM: Plug-and-Play Temporal Attention Module for Motion-Guided Cardiac Segmentation | MedAI Research MedAI Research...
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The MT-Net encoder-decoder architecture with dimension transformation. D-DOWN operations compress depth while preserving lateral structure; D-UP operations restore volumetric resolution during decoding
MT-Net: 3D Retinal Microvascular Segmentation via Multi-Scale Topology Regulation
MT-Net: 3D Retinal Microvascular Segmentation via Multi-Scale Topology Regulation Medical Image Analysis · 2026 Vol. 110 · doi:10.1016/j.media.2026.103988...
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Screenshot 2026-02-26 191138
MSFT-Net: Multimodal Sparse Fusion Transformer for Breast Tumor Classification Using US, SMI & Elastography
MSFT-Net: Multimodal Sparse Fusion Transformer for Breast Tumor Classification Using US, SMI & Elastography Medical Image Analysis...
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Fig. 3. Structure of the semantic latent factor encoding module of CD-CMAN model
CD-CMAN: Causality-Driven Neural Network for EEG Signal Decoding in Brain-Computer Interfaces
CD-CMAN: Causality-Driven Neural Network for EEG Signal Decoding in Brain-Computer Interfaces Neuroscience × Deep Learning · March 2026 How...
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Overview of proposed Slot-BERT model.
Slot-BERT: Revolutionary AI Breakthrough for Self-Supervised Surgical Video Analysis
Introduction: The Challenge of Understanding Complex Surgical Videos Modern surgical procedures generate vast amounts of video data that hold immense...
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Framework of the proposed IB-D2GAT
IB-D2GAT: How Information Bottleneck Theory Revolutionizes Dynamic Graph Learning Under Distribution Shifts
Introduction: The Critical Challenge of Evolving Graph Data In an era where financial transactions occur in milliseconds, social networks reshape human...
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