Optimization & Theory

Fixed-Horizon Temporal Difference Methods for Stable Reinforcement Learning AAAI 2020 Forward and Backward Information Retention for Accurate Binary Neural Networks CVPR 2020 Fourier Features Let Networks Learn High Frequency Functions in Low Dimensional Domains NeurIPS 2020 Fractional Skipping: Towards Finer-Grained Dynamic CNN Inference AAAI 2020 Fractional Underdamped Langevin Dynamics: Retargeting SGD with Momentum under Heavy-Tailed Gradient Noise ICML 2020 FracTrain: Fractionally Squeezing Bit Savings Both Temporally and Spatially for Efficient DNN Training NeurIPS 2020 Frequency Domain Compact 3D Convolutional Neural Networks CVPR 2020 GAIT-prop: A biologically plausible learning rule derived from backpropagation of error NeurIPS 2020 GAN Compression: Efficient Architectures for Interactive Conditional GANs CVPR 2020 Generalization bound of globally optimal non-convex neural network training: Transportation map estimation by infinite dimensional Langevin dynamics NeurIPS 2020 Generalization Error Bounds of Gradient Descent for Learning Over-Parameterized Deep ReLU Networks AAAI 2020 Generalization error in high-dimensional perceptrons: Approaching Bayes error with convex optimization NeurIPS 2020 Generating Accurate Pseudo-Labels in Semi-Supervised Learning and Avoiding Overconfident Predictions via Hermite Polynomial Activations CVPR 2020 Generative Teaching Networks: Accelerating Neural Architecture Search by Learning to Generate Synthetic Training Data ICML 2020 GhostNet: More Features From Cheap Operations CVPR 2020 GLAD: Learning Sparse Graph Recovery ICLR 2020 Glyph: Fast and Accurately Training Deep Neural Networks on Encrypted Data NeurIPS 2020 Going Deep: Graph Convolutional Ladder-Shape Networks AAAI 2020 Good Subnetworks Provably Exist: Pruning via Greedy Forward Selection ICML 2020 Go Wide, Then Narrow: Efficient Training of Deep Thin Networks ICML 2020 Gradient-based Analysis of NLP Models is Manipulable EMNLP 2020 Gradient Descent with Early Stopping is Provably Robust to Label Noise for Overparameterized Neural Networks AISTATS 2020 Gradient Estimation with Stochastic Softmax Tricks NeurIPS 2020 Group Sparsity: The Hinge Between Filter Pruning and Decomposition for Network Compression CVPR 2020 Group-Wise Dynamic Dropout Based on Latent Semantic Variations AAAI 2020