memory efficiency

Binary-Gaussian: Compact and Progressive Representation for 3D Gaussian Segmentation AAAI 2026 Echoless Label-Based Pre-computation for Memory-Efficient Heterogeneous Graph Learning AAAI 2026 Efficient All-Pairs Correlation Volume Sampling for Optical Flow Estimation CVPR 2026 FlashSVD: Memory-Efficient Inference with Streaming for Low-Rank Models AAAI 2026 Head-Aware KV Cache Compression for Efficient Visual Autoregressive Modeling AAAI 2026 HitKV: Activation Frequency Knows Which Tokens Are Important AAAI 2026 KeepKV: Achieving Periodic Lossless KV Cache Compression for Efficient LLM Inference AAAI 2026 MemeBQ:Memory Efficient Binary Quantization of LLMs AAAI 2026 MERG3R: A Divide-and-Conquer Approach to Large-Scale Neural Visual Geometry CVPR 2026 Question Tells You Where the Answer Is: Intention-aware Long-Context KV Cache Compression ACL 2026 See More, Store Less: Memory-Efficient Resolution for Video Moment Retrieval EACL 2026 Self-Indexing KVCache: Predicting Sparse Attention from Compressed Keys AAAI 2026 StreamingTOM: Streaming Token Compression for Efficient Video Understanding CVPR 2026 StreamKV: Streaming Video Question-Answering with Segment-based KV Cache Retrieval and Compression AAAI 2026 TaskIT: Memory-Efficient Fine-Tuning of Multi-LoRA LLMs via Cross-Task Importance Transfer CVPR 2026 Accurate KV Cache Quantization with Outlier Tokens Tracing ACL 2025 AdaRankGrad: Adaptive Gradient Rank and Moments for Memory-Efficient LLMs Training and Fine-Tuning ICLR 2025 Addax: Utilizing Zeroth-Order Gradients to Improve Memory Efficiency and Performance of SGD for Fine-Tuning Language Models ICLR 2025 AsymKV: Enabling 1-Bit Quantization of KV Cache with Layer-Wise Asymmetric Quantization Configurations COLING 2025 COAP: Memory-Efficient Training with Correlation-Aware Gradient Projection CVPR 2025 COAT: Compressing Optimizer states and Activations for Memory-Efficient FP8 Training ICLR 2025 CompAct: Compressed Activations for Memory-Efficient LLM Training NAACL 2025 Continual Quantization-Aware Pre-Training: When to transition from 16-bit to 1.58-bit pre-training for BitNet language models? ACL 2025 ContraGS: Codebook-Condensed and Trainable Gaussian Splatting for Fast, Memory-Efficient Reconstruction ICCV 2025 CSR:Achieving 1 Bit Key-Value Cache via Sparse Representation AAAI 2025