Co-occurring keywords · papers mentioning both
Papers
Large Stepsize Gradient Descent for Non-Homogeneous Two-Layer Networks: Margin Improvement and Fast Optimization
NeurIPS 2024
Learning Hierarchical Polynomials with Three-Layer Neural Networks
ICLR 2024
Learning Low-Rank Tensor Cores with Probabilistic ℓ0-Regularized Rank Selection for Model Compression
IJCAI 2024
Learning Multi-Agent Communication from Graph Modeling Perspective
ICLR 2024
Learning Pseudo-Contractive Denoisers for Inverse Problems
ICML 2024
Learning sum of diverse features: computational hardness and efficient gradient-based training for ridge combinations
COLT 2024
Learning Ultrametric Trees for Optimal Transport Regression
AAAI 2024
LoRA Training in the NTK Regime has No Spurious Local Minima
ICML 2024
Matching the Statistical Query Lower Bound for k-Sparse Parity Problems with Sign Stochastic Gradient Descent
NeurIPS 2024
Mechanics of Next Token Prediction with Self-Attention
AISTATS 2024
Memory-Efficient LLM Training with Online Subspace Descent
NeurIPS 2024
MetaDiff: Meta-Learning with Conditional Diffusion for Few-Shot Learning
AAAI 2024
Minimizing UCB: a Better Local Search Strategy in Local Bayesian Optimization
NeurIPS 2024
Mirror and Preconditioned Gradient Descent in Wasserstein Space
NeurIPS 2024
Mitigating Privacy Risk in Membership Inference by Convex-Concave Loss
ICML 2024
Model Based Inference of Synaptic Plasticity Rules
NeurIPS 2024
MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts
NeurIPS 2024
Nesterov acceleration despite very noisy gradients
NeurIPS 2024
Neural collapse vs. low-rank bias: Is deep neural collapse really optimal?
NeurIPS 2024
Neural Network-Based Score Estimation in Diffusion Models: Optimization and Generalization
ICLR 2024
Neural Redshift: Random Networks are not Random Functions
CVPR 2024
Newton Losses: Using Curvature Information for Learning with Differentiable Algorithms
NeurIPS 2024
Nonparametric Teaching of Implicit Neural Representations
ICML 2024
Non-stationary Projection-Free Online Learning with Dynamic and Adaptive Regret Guarantees
AAAI 2024
Offline Model-Based Optimization via Policy-Guided Gradient Search
AAAI 2024