Co-occurring keywords · papers mentioning both
Papers
Beyond Monotonicity: Revisiting Factorization Principles in Multi-Agent Q-Learning
AAAI 2026
Rethinking Data Mixing from the Perspective of Large Language Models
ACL 2026
Frozen Language Models Are Gradient Coherence Rectifiers in Vision Transformers
AAAI 2025
Gradient-Based Feature Learning under Structured Data
NeurIPS 2023
Learning GFlowNets From Partial Episodes For Improved Convergence And Stability
ICML 2023
On the Dynamics Under the Unhinged Loss and Beyond
JMLR 2023
Equilibrium Learning in Auction Markets
AAAI 2022
KOALA: A Kalman Optimization Algorithm with Loss Adaptivity
AAAI 2022
Training Scale-Invariant Neural Networks on the Sphere Can Happen in Three Regimes
NeurIPS 2022
A unified framework for Hamiltonian deep neural networks
L4DC 2021
On the Theory of Implicit Deep Learning: Global Convergence with Implicit Layers
ICLR 2021
Optimization of Graph Neural Networks: Implicit Acceleration by Skip Connections and More Depth
ICML 2021
Gradient Dynamics of Shallow Univariate ReLU Networks
NeurIPS 2019