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Optimization & Theory

7,804 papers (27 classified directly here)

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Papers (including subtopics)

TimeRipples: Accelerating vDiTs by Understanding the Spatio-Temporal Correlations in Latent Space CVPR 2026 Too Vivid to Be Real? Benchmarking and Calibrating Generative Color Fidelity CVPR 2026 Toward Early Quality Assessment of Text-to-Image Diffusion Models CVPR 2026 Toward Low-Cost yet Effective Temporal Learning for UAV Tracking CVPR 2026 Towards a Mechanistic Understanding of Large Reasoning Models: A Survey of Training, Inference, and Failures ACL 2026 Towards High-Quality Image Segmentation: Improving Topology Accuracy by Penalizing Neighbor Pixels CVPR 2026 Towards Intrinsic Interpretability of Large Language Models: A Survey of Design Principles and Architectures ACL 2026 Towards Universal Computational Aberration Correction in Photographic Cameras: A Comprehensive Benchmark Analysis CVPR 2026 Tracing Logit Trajectories Across Layer Depth: Dataset-Level Explainability for Language Models ACL 2026 Trainable Log-linear Sparse Attention for Efficient Diffusion Transformers CVPR 2026 Training-free Mixed-Resolution Latent Upsampling for Spatially Accelerated Diffusion Transformers CVPR 2026 Transformers Can Overcome the Curse of Dimensionality: A Theoretical Study from an Approximation Perspective JMLR 2026 TransformerTrio at SemEval-2026 Task 13: Navigating Domain Shift and Representation Instability in Machine-Generated Code Detection SemEval 2026 TransPrune: Token Transition Pruning for Efficient Large Vision-Language Model CVPR 2026 TSTM: Temporal Segmentation for Task-relevant Mask in Visual Reinforcement Learning Generalization CVPR 2026 Tunable Soft Equivariance with Guarantees CVPR 2026 TWEO: Transformers Without Extreme Outliers Enables FP8 Training And Quantization For Dummies CVPR 2026 UCAN: Unified Convolutional Attention Network for Expansive Receptive Fields in Lightweight Super-Resolution CVPR 2026 Understanding, Accelerating, and Improving MeanFlow Training CVPR 2026 Understanding and Enforcing Weight Disentanglement in Task Arithmetic CVPR 2026 Understanding LLM Performance Degradation in Multi-Instance Processing: The Roles of Instance Count and Context Length ACL 2026 UniCompress: Token Compression for Unified Vision-Language Understanding and Generation CVPR 2026 UniComp: Rethinking Video Compression Through Informational Uniqueness CVPR 2026 Unified Spatiotemporal Token Compression for Video-LLMs at Ultra-Low Retention CVPR 2026 UniFusion: A Unified Image Fusion Framework with Robust Representation and Source-Aware Preservation CVPR 2026