gradient descent

Max-Margin Token Selection in Attention Mechanism NeurIPS 2023 Mean Estimation of Truncated Mixtures of Two Gaussians: A Gradient Based Approach AAAI 2023 Measuring Asymmetric Gradient Discrepancy in Parallel Continual Learning ICCV 2023 Mechanic: A Learning Rate Tuner NeurIPS 2023 Memory-Constrained Algorithms for Convex Optimization NeurIPS 2023 Meta-Learning with Adjoint Methods AISTATS 2023 Meta-Learning With a Geometry-Adaptive Preconditioner CVPR 2023 Mitigating Propagation Failures in Physics-informed Neural Networks using Retain-Resample-Release (R3) Sampling ICML 2023 Monotonic Alpha-divergence Minimisation for Variational Inference JMLR 2023 Multiplayer Performative Prediction: Learning in Decision-Dependent Games JMLR 2023 Multi-Task Learning via Time-Aware Neural ODE IJCAI 2023 Nearest Neighbor Machine Translation is Meta-Optimizer on Output Projection Layer EMNLP 2023 Neural Stochastic Differential Games for Time-series Analysis ICML 2023 NIPQ: Noise Proxy-Based Integrated Pseudo-Quantization CVPR 2023 Nonlinear Advantage: Trained Networks Might Not Be As Complex as You Think ICML 2023 On Generalization of Decentralized Learning with Separable Data AISTATS 2023 Online Harmonizing Gradient Descent for Imbalanced Data Streams One-Pass Classification IJCAI 2023 Online Optimization over Riemannian Manifolds JMLR 2023 On Penalty-based Bilevel Gradient Descent Method ICML 2023 On skip connections and normalisation layers in deep optimisation NeurIPS 2023 On student-teacher deviations in distillation: does it pay to disobey? NeurIPS 2023 On the complexity of finding stationary points of smooth functions in one dimension ALT 2023 On the Dynamics Under the Unhinged Loss and Beyond JMLR 2023 On the Lower Bound of Minimizing Polyak-Łojasiewicz functions COLT 2023 On the Role of Attention in Prompt-tuning ICML 2023