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Optimization & Theory

7,804 papers (27 classified directly here)

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Papers (including subtopics)

Decoding Text Spans for Efficient and Accurate Named-Entity Recognition ACL 2026 Decompose, Mix, Adapt: A Unified Framework for Parameter-Efficient Neural Network Recombination and Compression CVPR 2026 DeepSemantics at SemEval-2026 Task 9: Label-Wise Optimization with Adaptive Focal Loss for Polarization Manifestation Identification SemEval 2026 Defending Unauthorized Model Merging via Dual-Stage Weight Protection CVPR 2026 DeltaQuant: 4-bit Video Diffusion Models with Spatiotemporal Delta Smoothing CVPR 2026 Denoising as Path Planning: Training-Free Acceleration of Diffusion Models with DPCache CVPR 2026 Denoising, Fast and Slow: Difficulty-Aware Adaptive Sampling for Image Generation CVPR 2026 DiffBMP: Differentiable Rendering with Bitmap Primitives CVPR 2026 Differentiable Laplacian Matrix Guided Superpixel Segmentation CVPR 2026 Differentiable Vector Quantization for Rate-Distortion Optimization of Generative Image Compression CVPR 2026 DisCa: Accelerating Video Diffusion Transformers with Distillation-Compatible Learnable Feature Caching CVPR 2026 Domain Sensitive Federated Learning with Fisher-Informed Pruning CVPR 2026 Don’t Adapt Small Language Models for Tools; Adapt Tool Schemas to the Models ACL 2026 Double: Breaking the Acceleration Limit via Double Retrieval Speculative Parallelism ACL 2026 DREAM-S: Speculative Decoding with Searchable Drafting and Target-Aware Refinement for Multimodal Generation ACL 2026 Dropping Anchor and Spherical Harmonics for Sparse-view Gaussian Splatting CVPR 2026 DTC-WSI: Dynamic Token Compression for Whole-Slide Images MIDL 2026 Dual Graph Regularized Deep Unfolding Network for Guided Depth Map Super-resolution CVPR 2026 DuetMerging: Synergizing Dynamic and Static Strategies for Mitigating Task Interference in Model Merging CVPR 2026 DUET-VLM: Dual stage Unified Efficient Token reduction for VLM Training and Inference CVPR 2026 Dynamic Momentum Recalibration in Online Gradient Learning CVPR 2026 Dynamics-Aware Preference Optimization for Vision-Language Models CVPR 2026 EconProver: Towards More Economical Test-Time Scaling for Automated Theorem Proving ACL 2026 EdgeFormer: Latency-Aware Collaborative Multi-Head Attention of Transformer Inference in Edge Networks ACL 2026 Edge-RecViT: Efficient Vision Transformer via Semantic-Refined Dynamic Recursion CVPR 2026