Optimization

Gradient Rewiring for Editable Graph Neural Network Training NeurIPS 2024 Gradients of Functions of Large Matrices NeurIPS 2024 GradSafe: Detecting Jailbreak Prompts for LLMs via Safety-Critical Gradient Analysis ACL 2024 Graph-enhanced Optimizers for Structure-aware Recommendation Embedding Evolution NeurIPS 2024 GRAWA: Gradient-based Weighted Averaging for Distributed Training of Deep Learning Models AISTATS 2024 Group and Shuffle: Efficient Structured Orthogonal Parametrization NeurIPS 2024 Guiding Neural Collapse: Optimising Towards the Nearest Simplex Equiangular Tight Frame NeurIPS 2024 Hardness of Learning Neural Networks under the Manifold Hypothesis NeurIPS 2024 Harnessing Manycore Processors with Distributed Memory for Accelerated Training of Sparse and Recurrent Models AAAI 2024 HDRFlow: Real-Time HDR Video Reconstruction with Large Motions CVPR 2024 HEPrune: Fast Private Training of Deep Neural Networks With Encrypted Data Pruning NeurIPS 2024 Heterogeneity-Guided Client Sampling: Towards Fast and Efficient Non-IID Federated Learning NeurIPS 2024 Hierarchy-aware Biased Bound Margin Loss Function for Hierarchical Text Classification ACL 2024 Hop, skip, jump to Convergence: Dynamics of Learning Rate Transitions for Improved Training of Large Language Models EMNLP 2024 How JEPA Avoids Noisy Features: The Implicit Bias of Deep Linear Self Distillation Networks NeurIPS 2024 How Sparse Can We Prune A Deep Network: A Fundamental Limit Perspective NeurIPS 2024 HW-GPT-Bench: Hardware-Aware Architecture Benchmark for Language Models NeurIPS 2024 Hyperbolic Optimizer as a Dynamical System ICML 2024 Hyperparameter-Free Approach for Faster Minimum Bayes Risk Decoding ACL 2024 Immiscible Diffusion: Accelerating Diffusion Training with Noise Assignment NeurIPS 2024 Impartial Adversarial Distillation: Addressing Biased Data-Free Knowledge Distillation via Adaptive Constrained Optimization AAAI 2024 Implicit bias of SGD in L_2-regularized linear DNNs: One-way jumps from high to low rank ICLR 2024 Implicit Regularization of Sharpness-Aware Minimization for Scale-Invariant Problems NeurIPS 2024 Improving Equivariant Model Training via Constraint Relaxation NeurIPS 2024 Improving Neural ODE Training with Temporal Adaptive Batch Normalization NeurIPS 2024