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

Compressed 3D Gaussian Splatting for Accelerated Novel View Synthesis CVPR 2024
CoMERA: Computing- and Memory-Efficient Training via Rank-Adaptive Tensor Optimization NIPS 2024
1-Lipschitz Layers Compared: Memory Speed and Certifiable Robustness CVPR 2024
Sheared Backpropagation for Fine-tuning Foundation Models CVPR 2024
Long-Context Language Modeling with Parallel Context Encoding ACL 2024
Reducing Transformer Key-Value Cache Size with Cross-Layer Attention NIPS 2024
Even Sparser Graph Transformers NIPS 2024
SnapKV: LLM Knows What You are Looking for Before Generation NIPS 2024
TinyTTA: Efficient Test-time Adaptation via Early-exit Ensembles on Edge Devices NIPS 2024
LISA: Layerwise Importance Sampling for Memory-Efficient Large Language Model Fine-Tuning NIPS 2024
KV Cache is 1 Bit Per Channel: Efficient Large Language Model Inference with Coupled Quantization NIPS 2024
Dancing with Still Images: Video Distillation via Static-Dynamic Disentanglement CVPR 2024
Beam-search SIEVE for low-memory speech recognition INTERSPEECH 2024
MemoryFormer : Minimize Transformer Computation by Removing Fully-Connected Layers NIPS 2024
Time- Memory- and Parameter-Efficient Visual Adaptation CVPR 2024
RepCNN: Micro-sized, Mighty Models for Wakeword Detection INTERSPEECH 2024
Multimodal Industrial Anomaly Detection by Crossmodal Feature Mapping CVPR 2024
StreamingDialogue: Prolonged Dialogue Learning via Long Context Compression with Minimal Losses NIPS 2024
Dr2Net: Dynamic Reversible Dual-Residual Networks for Memory-Efficient Finetuning CVPR 2024
Fast and Memory-Efficient Video Diffusion Using Streamlined Inference NIPS 2024
The Ups and Downs of Large Language Model Inference with Vocabulary Trimming by Language Heuristics NAACL 2024
Mixture of Scales: Memory-Efficient Token-Adaptive Binarization for Large Language Models NIPS 2024
PatchDropout: Economizing Vision Transformers Using Patch Dropout WACV 2023
Self-Attentive Pooling for Efficient Deep Learning WACV 2023
Couplformer: Rethinking Vision Transformer With Coupling Attention WACV 2023