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Neural Network Optimization

902 directly classified papers

Papers per year

Papers

Breaking through Deterministic Barriers: Randomized Pruning Mask Generation and Selection EMNLP 2023
Boosting Inference Efficiency: Unleashing the Power of Parameter-Shared Pre-trained Language Models EMNLP 2023
On the Dimensionality of Sentence Embeddings EMNLP 2023
Demystifying Prompts in Language Models via Perplexity Estimation EMNLP 2023
Oscillation-free Quantization for Low-bit Vision Transformers ICML 2023
TRAMS: Training-free Memory Selection for Long-range Language Modeling EMNLP 2023
Regression as Classification: Influence of Task Formulation on Neural Network Features AISTATS 2023
A Modern Look at the Relationship between Sharpness and Generalization ICML 2023
Partition Speeds Up Learning Implicit Neural Representations Based on Exponential-Increase Hypothesis ICCV 2023
Neural Architecture Search for Wide Spectrum Adversarial Robustness AAAI 2023
Bi-Drop: Enhancing Fine-tuning Generalization via Synchronous sub-net Estimation and Optimization EMNLP 2023
Understanding Representation Learnability of Nonlinear Self-Supervised Learning AAAI 2023
The Implicit Regularization of Momentum Gradient Descent in Overparametrized Models AAAI 2023
Fast Convergence in Learning Two-Layer Neural Networks with Separable Data AAAI 2023
Experimental Observations of the Topology of Convolutional Neural Network Activations AAAI 2023
Backpropagation-Free Deep Learning with Recursive Local Representation Alignment AAAI 2023
AIO-P: Expanding Neural Performance Predictors beyond Image Classification AAAI 2023
DMIS: Dynamic Mesh-Based Importance Sampling for Training Physics-Informed Neural Networks AAAI 2023
Can We Find Strong Lottery Tickets in Generative Models? AAAI 2023
A Length-Extrapolatable Transformer ACL 2023
Curvature-Balanced Feature Manifold Learning for Long-Tailed Classification CVPR 2023
A Mini-Block Fisher Method for Deep Neural Networks AISTATS 2023
Nyström Method for Accurate and Scalable Implicit Differentiation AISTATS 2023
Class Adaptive Network Calibration CVPR 2023
ASkewSGD : An Annealed interval-constrained Optimisation method to train Quantized Neural Networks AISTATS 2023