Neural Network Optimization

Adaptive Plasticity Improvement for Continual Learning CVPR 2023 Adaptive Positional Encoding for Bundle-Adjusting Neural Radiance Fields ICCV 2023 Adaptive Rotated Convolution for Rotated Object Detection ICCV 2023 Adaptive SGD with Polyak stepsize and Line-search: Robust Convergence and Variance Reduction NeurIPS 2023 Adaptive Smoothing Gradient Learning for Spiking Neural Networks ICML 2023 A Deep Conjugate Direction Method for Iteratively Solving Linear Systems ICML 2023 ADGym: Design Choices for Deep Anomaly Detection NeurIPS 2023 AD-KD: Attribution-Driven Knowledge Distillation for Language Model Compression ACL 2023 Adversarial Training from Mean Field Perspective NeurIPS 2023 A Fully First-Order Method for Stochastic Bilevel Optimization ICML 2023 A future for universal grapheme-phoneme transduction modeling with neuralized finite-state transducers ACL 2023 AGD: an Auto-switchable Optimizer using Stepwise Gradient Difference for Preconditioning Matrix NeurIPS 2023 A General Regret Bound of Preconditioned Gradient Method for DNN Training CVPR 2023 A Guide Through the Zoo of Biased SGD NeurIPS 2023 Aiming towards the minimizers: fast convergence of SGD for overparametrized problems NeurIPS 2023 Algebraically Rigorous Quaternion Framework for the Neural Network Pose Estimation Problem ICCV 2023 Algorithm-Hardware Co-Design for Efficient Brain-Inspired Hyperdimensional Learning on Edge (Extended Abstract) IJCAI 2023 Algorithmic Regularization in Tensor Optimization: Towards a Lifted Approach in Matrix Sensing NeurIPS 2023 Algorithmic Stability of Heavy-Tailed SGD with General Loss Functions ICML 2023 Alias-Free Convnets: Fractional Shift Invariance via Polynomial Activations CVPR 2023 AlignAtt: Using Attention-based Audio-Translation Alignments as a Guide for Simultaneous Speech Translation Interspeech 2023 AlphaD3M: An Open-Source AutoML Library for Multiple ML Tasks AutoML 2023 Alternating Differentiation for Optimization Layers ICLR 2023 Alternating Updates for Efficient Transformers NeurIPS 2023 A Mini-Block Fisher Method for Deep Neural Networks AISTATS 2023