Optimization & Theory

Neeko: Leveraging Dynamic LoRA for Efficient Multi-Character Role-Playing Agent EMNLP 2024 Neur2BiLO: Neural Bilevel Optimization NeurIPS 2024 Neural Collapse To Multiple Centers For Imbalanced Data NeurIPS 2024 Neural Conditional Probability for Uncertainty Quantification NeurIPS 2024 Neural Flow Diffusion Models: Learnable Forward Process for Improved Diffusion Modelling NeurIPS 2024 NeuralFluid: Nueral Fluidic System Design and Control with Differentiable Simulation NeurIPS 2024 NeuralFuse: Learning to Recover the Accuracy of Access-Limited Neural Network Inference in Low-Voltage Regimes NeurIPS 2024 Neural network learns low-dimensional polynomials with SGD near the information-theoretic limit NeurIPS 2024 Neural Networks with Sparse Activation Induced by Large Bias: Tighter Analysis with Bias-Generalized NTK JMLR 2024 Neural Optimal Transport with Lagrangian Costs UAI 2024 Neural Redshift: Random Networks are not Random Functions CVPR 2024 Neural Search Space in Gboard Decoder EMNLP 2024 NeuroPrune: A Neuro-inspired Topological Sparse Training Algorithm for Large Language Models ACL 2024 Newton Losses: Using Curvature Information for Learning with Differentiable Algorithms NeurIPS 2024 NN4SysBench: Characterizing Neural Network Verification for Computer Systems NeurIPS 2024 Noise-Free Optimization in Early Training Steps for Image Super-resolution AAAI 2024 Non-asymptotic Convergence of Training Transformers for Next-token Prediction NeurIPS 2024 Nonlinear dynamics of localization in neural receptive fields NeurIPS 2024 Nonlinear spiked covariance matrices and signal propagation in deep neural networks COLT 2024 Nonparametric Classification on Low Dimensional Manifolds using Overparameterized Convolutional Residual Networks NeurIPS 2024 Normalization Layer Per-Example Gradients are Sufficient to Predict Gradient Noise Scale in Transformers NeurIPS 2024 Normalized Narrow Jump To Conclusions: Normalized Narrow Shortcuts for Parameter Efficient Early Exit Transformer Prediction EMNLP 2024 Norm Tweaking: High-Performance Low-Bit Quantization of Large Language Models AAAI 2024 Not All Experts are Equal: Efficient Expert Pruning and Skipping for Mixture-of-Experts Large Language Models ACL 2024 Not Everything is All You Need: Toward Low-Redundant Optimization for Large Language Model Alignment EMNLP 2024