conftrace_

compute efficiency

19 papers

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Co-occurring keywords

scaling law (120) language model (4599) parameter efficiency (417) compute-efficient training (2) model scaling (135) model training (137) diffusion model (3751) efficient computing (781) language modeling (660) data subset selection (17)

Papers

Increased Compute Efficiency and the Diffusion of AI Capabilities AAAI 2025
Slamming: Training a Speech Language Model on One GPU in a Day ACL 2025
Efficient Knowledge Editing via Minimal Precomputation ACL 2025
FreqTS: Frequency-Aware Token Selection for Accelerating Diffusion Models AAAI 2025
FlexiDiT: Your Diffusion Transformer Can Easily Generate High-Quality Samples with Less Compute CVPR 2025
Efficient Lifelong Model Evaluation in an Era of Rapid Progress NIPS 2024
Scaling Laws and Compute-Optimal Training Beyond Fixed Training Durations NIPS 2024
Algorithmic progress in language models NIPS 2024
LibAMM: Empirical Insights into Approximate Computing for Accelerating Matrix Multiplication NIPS 2024
On the Scalability of Diffusion-based Text-to-Image Generation CVPR 2024
SwitchHead: Accelerating Transformers with Mixture-of-Experts Attention NIPS 2024
HyperT5: Towards Compute-Efficient Korean Language Modeling ACL 2023
Reducing Barriers to Self-Supervised Learning: HuBERT Pre-training with Academic Compute INTERSPEECH 2023
Learning To Zoom and Unzoom CVPR 2023
Learning to Compress Prompts with Gist Tokens NIPS 2023
Partitioned Gradient Matching-based Data Subset Selection for Compute-Efficient Robust ASR Training EMNLP 2022
AUTOMATA: Gradient Based Data Subset Selection for Compute-Efficient Hyper-parameter Tuning NIPS 2022
Reservoir Transformers IJCNLP 2021
Efficient Video Classification Using Fewer Frames CVPR 2019