Co-occurring keywords · papers mentioning both
Papers
Honey, I Shrunk the Language: Language Model Behavior at Reduced Scale.
ACL 2023
How Much Data Are Augmentations Worth? An Investigation into Scaling Laws, Invariance, and Implicit Regularization
ICLR 2023
Improved Bayes Risk Can Yield Reduced Social Welfare Under Competition
NeurIPS 2023
Likelihood-Based Diffusion Language Models
NeurIPS 2023
Long Sequence Hopfield Memory
NeurIPS 2023
Reproducible Scaling Laws for Contrastive Language-Image Learning
CVPR 2023
Reward Learning as Doubly Nonparametric Bandits: Optimal Design and Scaling Laws
AISTATS 2023
Roles of Scaling and Instruction Tuning in Language Perception: Model vs. Human Attention
EMNLP 2023
Scaling Law for Document Neural Machine Translation
EMNLP 2023
Scaling Law for Recommendation Models: Towards General-Purpose User Representations
AAAI 2023
Scaling Laws for a Multi-Agent Reinforcement Learning Model
ICLR 2023
Scaling Laws for BERT in Low-Resource Settings
ACL 2023
Scaling Laws For Deep Learning Based Image Reconstruction
ICLR 2023
Scaling Laws for Discriminative Speech Recognition Rescoring Models
Interspeech 2023
Scaling Laws for Generative Mixed-Modal Language Models
ICML 2023
Scaling laws for language encoding models in fMRI
NeurIPS 2023
Scaling Laws for Multilingual Neural Machine Translation
ICML 2023
Scaling Laws for Reward Model Overoptimization
ICML 2023
Scaling Laws vs Model Architectures: How does Inductive Bias Influence Scaling?
EMNLP 2023
Statistical Knowledge Assessment for Large Language Models
NeurIPS 2023
TAN Without a Burn: Scaling Laws of DP-SGD
ICML 2023
Transcending Scaling Laws with 0.1% Extra Compute
EMNLP 2023
Uncovering Neural Scaling Laws in Molecular Representation Learning
NeurIPS 2023
An empirical analysis of compute-optimal large language model training
NeurIPS 2022
Exploring the Benefits and Limitations of Multilinguality for Non-autoregressive Machine Translation
EMNLP 2022