Optimization & Theory

Progressive Supernet Training for Efficient Visual Autoregressive Modeling CVPR 2026 Provable Learning of Random Hierarchy Models and Hierarchical Shallow-to-Deep Chaining COLT 2026 Proxy-GS: Unified Occlusion Priors for Training and Inference in Structured 3D Gaussian Splatting CVPR 2026 Prune2Drive: A Plug-and-Play Framework for Accelerating Vision-Language Models in Autonomous Driving CVPR 2026 Prune as You Generate: Online Rollout Pruning for Faster and Better RLVR ACL 2026 PVeRA: Probabilistic Vector-Based Random Matrix Adaptation WACV 2026 PyramidalWan: On Making Pretrained Video Model Pyramidal for Efficient Inference CVPR 2026 qTPU: Hybrid Tensor Networks for Quantum-Classical Acceleration OSDI 2026 QuantileMark: A Message-Symmetric Multi-bit Watermark for LLMs ACL 2026 QuantVLA: Scale-Calibrated Post-Training Quantization for Vision-Language-Action Models CVPR 2026 Question Tells You Where the Answer Is: Intention-aware Long-Context KV Cache Compression ACL 2026 QuietPrune: Query-Guided Early Token Pruning for Vision-Language Models CVPR 2026 QVGGT: Post-Training Quantized Visual Geometry Grounded Transformer CVPR 2026 RADAR: VQ-VAE Decoder of VAR is a Good Student for Restoring Against Degradation by Acceleration CVPR 2026 Reducing Token Redundancy in LVLMs: A Systematic Review of Token Pruning Methods ACL 2026 Ref4D-VideoBench: Four-Dimensional Reference-Based Evaluation of Text-to-Video Generative Models CVPR 2026 ReflectRM: Boosting Generative Reward Models via Self-Reflection within a Unified Judgment Framework ACL 2026 Reframing Long-Tailed Learning via Loss Landscape Geometry CVPR 2026 Registration-Free Learnable Multi-View Capture of Faces in Dense Semantic Correspondence CVPR 2026 Render-of-Thought: Rendering Textual Chain-of-Thought as Images for Visual Latent Reasoning ACL 2026 Reparameterized Complex-valued Neurons Can Efficiently Learn More than Real-valued Neurons via Gradient Descent JMLR 2026 ResCa: Residual Caching for Diffusion Transformers Acceleration CVPR 2026 Residual Koopman Spectral Profiling for Predicting and Preventing Transformer Training Instability UAI 2026 Resonating with RoPE: Spectral Quantization for High-Fidelity Key Cache Compression ACL 2026 Rethinking Asymmetric Quantization: Hidden Symmetry in Vision Model Weights CVPR 2026