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

EdgeInfinite: A Memory-Efficient Infinite-Context Transformer for Edge Devices ACL 2025
Forward Knows Efficient Backward Path: Saliency-Guided Memory-Efficient Fine-tuning of Large Language Models ACL 2025
Accurate KV Cache Quantization with Outlier Tokens Tracing ACL 2025
RoCoFT: Efficient Finetuning of Large Language Models with Row-Column Updates ACL 2025
Towards Storage-Efficient Visual Document Retrieval: An Empirical Study on Reducing Patch-Level Embeddings ACL 2025
NeuroAda: Activating Each Neuron’s Potential for Parameter-Efficient Fine-Tuning EMNLP 2025
Libra-Merging: Importance-redundancy and Pruning-merging Trade-off for Acceleration Plug-in in Large Vision-Language Model CVPR 2025
Squeezing Context into Patches: Towards Memory-Efficient Ultra-High Resolution Semantic Segmentation IJCAI 2025
ELMGS: Enhancing Memory and Computation Scalability through Compression for 3D Gaussian Splatting WACV 2025
AsymKV: Enabling 1-Bit Quantization of KV Cache with Layer-Wise Asymmetric Quantization Configurations COLING 2025
TinyFoA: Memory Efficient Forward-Only Algorithm for On-Device Learning AAAI 2025
Efficient Beam Search for Large Language Models Using Trie-Based Decoding EMNLP 2025
Memory-Reduced Meta-Learning with Guaranteed Convergence AAAI 2025
Mixture of Weight-shared Heterogeneous Group Attention Experts for Dynamic Token-wise KV Optimization EMNLP 2025
XQuant: Achieving Ultra-Low Bit KV Cache Quantization with Cross-Layer Compression EMNLP 2025
MEET: Towards Memory-Efficient Temporal Sparse Deep Neural Networks CVPR 2025
MLKV: Multi-Layer Key-Value Heads for Memory Efficient Transformer Decoding NAACL 2025
Vocabulary-level Memory Efficiency for Language Model Fine-tuning NAACL 2025
QSpec: Speculative Decoding with Complementary Quantization Schemes EMNLP 2025
META-LORA: Memory-Efficient Sample Reweighting for Fine-Tuning Large Language Models COLING 2025
MSQ: Memory-Efficient Bit Sparsification Quantization ICCV 2025
Task Vector Quantization for Memory-Efficient Model Merging ICCV 2025
Efficient Training of Neural Fractional-Order Differential Equation via Adjoint Backpropagation AAAI 2025
SMMF: Square-Matricized Momentum Factorization for Memory-Efficient Optimization AAAI 2025
Memory-Efficient Generative Models via Product Quantization ICCV 2025