conftrace_

neural network optimization

1293 papers

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model compression (3302) neural network (6616) convolutional neural network (4226) gradient descent (1144) stochastic gradient descent (1091) efficient computing (781) deep neural network (1803) large language model (13587) knowledge distillation (3725) representation learning (6206)

Papers

Towards More Accurate Diffusion Model Acceleration with A Timestep Tuner CVPR 2024
Provably Transformers Harness Multi-Concept Word Semantics for Efficient In-Context Learning NIPS 2024
DIMAT: Decentralized Iterative Merging-And-Training for Deep Learning Models CVPR 2024
Tight Convergence Rate Bounds for Optimization Under Power Law Spectral Conditions JMLR 2024
BOLD: Boolean Logic Deep Learning NIPS 2024
Scaling Laws in Linear Regression: Compute, Parameters, and Data NIPS 2024
BMRS: Bayesian Model Reduction for Structured Pruning NIPS 2024
On the Inductive Bias of Stacking Towards Improving Reasoning NIPS 2024
A Structure-Aware Framework for Learning Device Placements on Computation Graphs NIPS 2024
QDyLoRA: Quantized Dynamic Low-Rank Adaptation for Efficient Large Language Model Tuning EMNLP 2024
LEAD: Exploring Logit Space Evolution for Model Selection CVPR 2024
Pretraining with Random Noise for Fast and Robust Learning without Weight Transport NIPS 2024
SHAP-EDITOR: Instruction-Guided Latent 3D Editing in Seconds CVPR 2024
Boosting Adversarial Transferability by Block Shuffle and Rotation CVPR 2024
Light-PEFT: Lightening Parameter-Efficient Fine-Tuning via Early Pruning ACL 2024
ResLoRA: Identity Residual Mapping in Low-Rank Adaption ACL 2024
SPIN: Sparsifying and Integrating Internal Neurons in Large Language Models for Text Classification ACL 2024
RA-LoRA: Rank-Adaptive Parameter-Efficient Fine-Tuning for Accurate 2-bit Quantized Large Language Models ACL 2024
AFLoRA: Adaptive Freezing of Low Rank Adaptation in Parameter Efficient Fine-Tuning of Large Models ACL 2024
Dynamic Masking Rate Schedules for MLM Pretraining EACL 2024
AutoAugment Is What You Need: Enhancing Rule-based Augmentation Methods in Low-resource Regimes EACL 2024
Where Do Large Learning Rates Lead Us? NIPS 2024
Algorithmic progress in language models NIPS 2024
Sorted LLaMA: Unlocking the Potential of Intermediate Layers of Large Language Models for Dynamic Inference EACL 2024
Rethinking 3D Convolution in $\ell_p$-norm Space NIPS 2024