conftrace_

gpu memory

17 papers

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Co-occurring keywords

model compression (3302) large language model (13587) parameter-efficient fine-tuning (736) computational efficiency (362) graph neural network (3962) long context (121) language model (4599) memory efficiency (261) video analytics (14) layer sharing (2)

Papers

Gaussian Representations for Video WACV 2026
Orthogonal Finetuning Made Scalable EMNLP 2025
SEED: Accelerating Reasoning Tree Construction via Scheduled Speculative Decoding COLING 2025
Toy-GS: Assembling Local Gaussians for Precisely Rendering Large-Scale Free Camera Trajectories AAAI 2025
SlimFit: Memory-Efficient Fine-Tuning of Transformer-based Models Using Training Dynamics NAACL 2024
DTL: Disentangled Transfer Learning for Visual Recognition AAAI 2024
HiFT: A Hierarchical Full Parameter Fine-Tuning Strategy EMNLP 2024
Memorize Step by Step: Efficient Long-Context Prefilling with Incremental Memory and Decremental Chunk EMNLP 2024
LaMDA: Large Model Fine-Tuning via Spectrally Decomposed Low-Dimensional Adaptation EMNLP 2024
IT-Tuning : Parameter Efficient Information Token Tuning for Language Model ACL 2024
Leveraging Visual Tokens for Extended Text Contexts in Multi-Modal Learning NIPS 2024
AWESOME: GPU Memory-constrained Long Document Summarization using Memory Mechanism and Global Salient Content NAACL 2024
Gemel: Model Merging for Memory-Efficient, Real-Time Video Analytics at the Edge NSDI 2023
FlashAttention: Fast and Memory-Efficient Exact Attention with IO-Awareness NIPS 2022
A Comprehensive Study on Large-Scale Graph Training: Benchmarking and Rethinking NIPS 2022
Resource-Efficient Hybrid X-Formers for Vision WACV 2022
GNNAutoScale: Scalable and Expressive Graph Neural Networks via Historical Embeddings ICML 2021