neural network optimization

Intriguing Properties of Quantization at Scale NeurIPS 2023 Joint Token Pruning and Squeezing Towards More Aggressive Compression of Vision Transformers CVPR 2023 KAKURENBO: Adaptively Hiding Samples in Deep Neural Network Training NeurIPS 2023 Learnable Surrogate Gradient for Direct Training Spiking Neural Networks IJCAI 2023 Learning Better Masking for Better Language Model Pre-training ACL 2023 Learning Iterative Neural Optimizers for Image Steganography ICLR 2023 Learning Neural Volumetric Representations of Dynamic Humans in Minutes CVPR 2023 Learning Physics-Informed Neural Networks without Stacked Back-propagation AISTATS 2023 Learning to Boost Training by Periodic Nowcasting Near Future Weights ICML 2023 Learning to Generalize Provably in Learning to Optimize AISTATS 2023 Less Is More Important: An Attention Module Guided by Probability Density Function for Convolutional Neural Networks AAAI 2023 Leveraging the two-timescale regime to demonstrate convergence of neural networks NeurIPS 2023 Linear-Covariance Loss for End-to-End Learning of 6D Pose Estimation ICCV 2023 Linear Regularizers Enforce the Strict Saddle Property AAAI 2023 Logical Message Passing Networks with One-hop Inference on Atomic Formulas ICLR 2023 Lon-eå at SemEval-2023 Task 11: A Comparison of Activation Functions for Soft and Hard Label Prediction SemEval 2023 Lookaround Optimizer: k steps around, 1 step average NeurIPS 2023 Loss-Curvature Matching for Dataset Selection and Condensation AISTATS 2023 Loss Landscapes are All You Need: Neural Network Generalization Can Be Explained Without the Implicit Bias of Gradient Descent ICLR 2023 Lossy and Lossless (L2) Post-training Model Size Compression ICCV 2023 Low Complexity Homeomorphic Projection to Ensure Neural-Network Solution Feasibility for Optimization over (Non-)Convex Set ICML 2023 Making Scalable Meta Learning Practical NeurIPS 2023 Mechanic: A Learning Rate Tuner NeurIPS 2023 Mimetic Initialization of Self-Attention Layers ICML 2023 Mitigating Over-smoothing in Transformers via Regularized Nonlocal Functionals NeurIPS 2023