Deep Learning

Adaptive Riemannian Graph Neural Networks AAAI 2026 Adaptive Spatial and Temporal Redundancy Optimization for Efficient Reasoning in Large Language Models ACL 2026 Adaptive Spatial-Temporal Window: Unlocking the Potential of Event Cameras in Heterogeneous Velocity Scenarios CVPR 2026 Adaptive Spectral Feature Forecasting for Diffusion Sampling Acceleration CVPR 2026 Adaptive Video Distillation: Mitigating Oversaturation and Temporal Collapse in Few-Step Generation CVPR 2026 Adaptive Weighted Proxy Tuning: Efficient Gray-Box Steering for Image Captioning. ACL 2026 AdaptViG: Adaptive Vision GNN with Exponential Decay Gating WACV 2026 AdaptVision: Efficient Vision-Language Models via Adaptive Visual Acquisition CVPR 2026 AdaRadar: Rate Adaptive Spectral Compression for Radar-based Perception CVPR 2026 AdaReason: Progressive Training of Multi-LoRA Adapters for Budget-Adaptive Language Reasoning Models AAAI 2026 AdaSFormer: Adaptive Serialized Transformers for Monocular Semantic Scene Completion from Indoor Environments CVPR 2026 AdaSVD: Singular Value Decomposition with Adaptive Mechanisms for Large Multimodal Models CVPR 2026 A Data-Augmented Contrastive Learning Approach to Nonparametric Density Estimation JMLR 2026 A Data-Centric Approach to Generalizable Speech Deepfake Detection ACL 2026 Addressing Exacerbated Attention Sink for Source-Free Cross-Domain Few-Shot Learning CVPR 2026 Addressing the Ecological Fallacy in Larger LMs with Human Context CoNLL 2026 A Debiased Reconstruction-based Framework for Training-Free Detection of AI-Generated Images CVPR 2026 A Depth Hierarchy for Computing the Maximum in ReLU Networks via Extremal Graph Theory COLT 2026 A Difference-in-Difference Approach to Detecting AI-Generated Images CVPR 2026 A Diffusion-Driven Fine-Grained Nodule Synthesis Framework for Enhanced Lung Nodule Detection from Chest Radiographs MIDL 2026 AdvancedIF: Rubric-Based Benchmarking and Reinforcement Learning for Advancing LLM Instruction Following ACL 2026 Advances in PAC-Bayesian certification of deep neural networks: tighter closed-form inequalities and optimization of bounds on non-differentiable losses UAI 2026 Advancing Cancer Prognosis with Hierarchical Fusion of Genomic, Proteomic and Pathology Imaging Data from a Systems Biology Perspective CVPR 2026 Advancing Image Classification with Discrete Diffusion Classification Modeling CVPR 2026 Advancing Reasoning in Diffusion Language Models with Denoising Process Rewards ACL 2026