← Keywords

gradient-based optimization

191 papers

Explore in graph

Co-occurring keywords

adversarial attack (1599) gradient descent (1143) large language model (12755) few-shot learning (3390) neural network (6616) hyperparameter optimization (405) neural architecture search (665) gradient optimization (57) discrete optimization (145) multi-objective optimization (357)

Papers

Differentiable Likelihoods for Fast Inversion of ’Likelihood-Free’ Dynamical Systems ICML 2020
Adaptive Adversarial Multi-task Representation Learning ICML 2020
Learning to Predict 3D Objects with an Interpolation-based Differentiable Renderer NIPS 2019
Searching for a Robust Neural Architecture in Four GPU Hours CVPR 2019
Adaptive Gradient-Based Meta-Learning Methods NIPS 2019
SEQˆ3: Differentiable Sequence-to-Sequence-to-Sequence Autoencoder for Unsupervised Abstractive Sentence Compression NAACL 2019
Actively Seeking and Learning From Live Data CVPR 2019
Interpretable and Fine-Grained Visual Explanations for Convolutional Neural Networks CVPR 2019
Robust Video Stabilization by Optimization in CNN Weight Space CVPR 2019
Decoupling Direction and Norm for Efficient Gradient-Based L2 Adversarial Attacks and Defenses CVPR 2019
Trivializations for Gradient-Based Optimization on Manifolds NIPS 2019
Scalable Structure Learning of Continuous-Time Bayesian Networks from Incomplete Data NIPS 2019
Explaining Landscape Connectivity of Low-cost Solutions for Multilayer Nets NIPS 2019
Deep Reactive Policies for Planning in Stochastic Nonlinear Domains AAAI 2019
Comparative Document Summarisation via Classification AAAI 2019
PDE Acceleration for Active Contours CVPR 2019
A Kernel Loss for Solving the Bellman Equation NIPS 2019
Bayesian Model-Agnostic Meta-Learning NIPS 2018
Neural Architecture Optimization NIPS 2018
Geodesic Convolutional Shape Optimization ICML 2018
Genetic-Gated Networks for Deep Reinforcement Learning NIPS 2018
Learning to search with MCTSnets ICML 2018
Multi-Task Learning as Multi-Objective Optimization NIPS 2018
Towards Decoding as Continuous Optimisation in Neural Machine Translation EMNLP 2017
Preventing Gradient Explosions in Gated Recurrent Units NIPS 2017