conftrace_

training optimization

27 papers

Explore in graph

Co-occurring keywords

large language model (13587) neural network optimization (1293) training efficiency (60) neural machine translation (2310) model compression (3302) convolutional neural network (4226) curriculum learning (633) distributed training (188) diffusion model (3751) loss function (462)

Papers

MATO: A Model-Agnostic Training Optimization for Aspect Sentiment Triplet Extraction NAACL 2025
SimAI: Unifying Architecture Design and Performance Tuning for Large-Scale Large Language Model Training with Scalability and Precision NSDI 2025
Optimizing RLHF Training for Large Language Models with Stage Fusion NSDI 2025
A Proactive Reliability Metric for Detecting Failures in Language Model Training EMNLP 2025
SuBiTO: Synopsis-based Training Optimization for Continuous Real-Time Neural Learning over Big Streaming Data AAAI 2025
TREAD: Token Routing for Efficient Architecture-agnostic Diffusion Training ICCV 2025
A Closer Look at Time Steps is Worthy of Triple Speed-Up for Diffusion Model Training CVPR 2025
ECHO-LLaMA: Efficient Caching for High-Performance LLaMA Training EMNLP 2025
Noise-Free Optimization in Early Training Steps for Image Super-resolution AAAI 2024
Sparsity-Accelerated Training for Large Language Models ACL 2024
The Fine-Grained Complexity of Gradient Computation for Training Large Language Models NIPS 2024
Exploiting Symmetric Temporally Sparse BPTT for Efficient RNN Training AAAI 2024
Immiscible Diffusion: Accelerating Diffusion Training with Noise Assignment NIPS 2024
CoMERA: Computing- and Memory-Efficient Training via Rank-Adaptive Tensor Optimization NIPS 2024
Efficient NLP Model Finetuning via Multistage Data Filtering IJCAI 2023
Data Selection Curriculum for Abstractive Text Summarization EMNLP 2023
YOLOv7: Trainable Bag-of-Freebies Sets New State-of-the-Art for Real-Time Object Detectors CVPR 2023
Convolution of Convolution: Let Kernels Spatially Collaborate CVPR 2022
Simpson's Bias in NLP Training AAAI 2021
Self-Paced Learning for Neural Machine Translation EMNLP 2020
Nimble: Lightweight and Parallel GPU Task Scheduling for Deep Learning NIPS 2020
Optimizing Data Usage via Differentiable Rewards ICML 2020
Competence-based Curriculum Learning for Neural Machine Translation NAACL 2019
E2-Train: Training State-of-the-art CNNs with Over 80% Energy Savings NIPS 2019
Beyond BLEU: Training Neural Machine Translation with Semantic Similarity ACL 2019