conftrace_

memory efficiency

261 papers

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Co-occurring keywords

model compression (3302) large language model (13587) memory optimization (114) attention mechanism (4001) neural network (6616) efficient computing (781) inference optimization (219) kv cache (74) convolutional neural network (4226) parameter-efficient fine-tuning (736)

Papers

TaDA: Training-free recipe for Decoding with Adaptive KV Cache Compression and Mean-centering ACL 2025
Libra-Merging: Importance-redundancy and Pruning-merging Trade-off for Acceleration Plug-in in Large Vision-Language Model CVPR 2025
Mixture of Weight-shared Heterogeneous Group Attention Experts for Dynamic Token-wise KV Optimization EMNLP 2025
NDD: A Decision Diagram for Network Verification NSDI 2025
Forward Knows Efficient Backward Path: Saliency-Guided Memory-Efficient Fine-tuning of Large Language Models ACL 2025
SuperServe: Fine-Grained Inference Serving for Unpredictable Workloads NSDI 2025
Squeezing Context into Patches: Towards Memory-Efficient Ultra-High Resolution Semantic Segmentation IJCAI 2025
Accurate KV Cache Quantization with Outlier Tokens Tracing ACL 2025
Training Long-Context LLMs Efficiently via Chunk-wise Optimization ACL 2025
XQuant: Achieving Ultra-Low Bit KV Cache Quantization with Cross-Layer Compression EMNLP 2025
Efficient Beam Search for Large Language Models Using Trie-Based Decoding EMNLP 2025
MaZO: Masked Zeroth-Order Optimization for Multi-Task Fine-Tuning of Large Language Models EMNLP 2025
Efficient Unstructured Pruning of Mamba State-Space Models for Resource-Constrained Environments EMNLP 2025
Memory-Efficient Backpropagation for Fine-Tuning LLMs on Resource-Constrained Mobile Devices EMNLP 2025
Gradient Weight-normalized Low-rank Projection for Efficient LLM Training AAAI 2025
QuZO: Quantized Zeroth-Order Fine-Tuning for Large Language Models EMNLP 2025
DynFocus: Dynamic Cooperative Network Empowers LLMs with Video Understanding CVPR 2025
NeuroAda: Activating Each Neuron’s Potential for Parameter-Efficient Fine-Tuning EMNLP 2025
AsymKV: Enabling 1-Bit Quantization of KV Cache with Layer-Wise Asymmetric Quantization Configurations COLING 2025
Removing Cost Volumes from Optical Flow Estimators ICCV 2025
ELMGS: Enhancing Memory and Computation Scalability through Compression for 3D Gaussian Splatting WACV 2025
DAM: Dynamic Attention Mask for Long-Context Large Language Model Inference Acceleration ACL 2025
Thinking Forward: Memory-Efficient Federated Finetuning of Language Models NIPS 2024
AdaZeta: Adaptive Zeroth-Order Tensor-Train Adaption for Memory-Efficient Large Language Models Fine-Tuning EMNLP 2024
GES : Generalized Exponential Splatting for Efficient Radiance Field Rendering CVPR 2024