Optimization

Group Whitening: Balancing Learning Efficiency and Representational Capacity CVPR 2021 HardCoRe-NAS: Hard Constrained diffeRentiable Neural Architecture Search ICML 2021 Heavy Ball Momentum for Conditional Gradient NeurIPS 2021 Hilbert Sinkhorn Divergence for Optimal Transport CVPR 2021 How Do Adam and Training Strategies Help BNNs Optimization ICML 2021 HyDRA: Hypergradient Data Relevance Analysis for Interpreting Deep Neural Networks AAAI 2021 Hyperparameter Power Impact in Transformer Language Model Training EMNLP 2021 Image Generation using Continuous Filter Atoms NeurIPS 2021 Improving Perceptual Quality by Phone-Fortified Perceptual Loss Using Wasserstein Distance for Speech Enhancement Interspeech 2021 Improving Privacy Guarantee and Efficiency of Latent Dirichlet Allocation Model Training Under Differential Privacy EMNLP 2021 Isometric Multi-Shape Matching CVPR 2021 Iso-Points: Optimizing Neural Implicit Surfaces With Hybrid Representations CVPR 2021 Joint inference and input optimization in equilibrium networks NeurIPS 2021 (Just) A Spoonful of Refinements Helps the Registration Error Go Down ICCV 2021 K-shot NAS: Learnable Weight-Sharing for NAS with K-shot Supernets ICML 2021 Large Batch Optimization for Deep Learning Using New Complete Layer-Wise Adaptive Rate Scaling AAAI 2021 Learning Deeper Non-Monotonic Networks by Softly Transferring Solution Space IJCAI 2021 Learning Dynamics Models with Stable Invariant Sets AAAI 2021 Learning Generalized Intersection Over Union for Dense Pixelwise Prediction ICML 2021 Learning Graph Neural Networks with Approximate Gradient Descent AAAI 2021 Learning to Cascade: Confidence Calibration for Improving the Accuracy and Computational Cost of Cascade Inference Systems AAAI 2021 Learning with Gradient Descent and Weakly Convex Losses AISTATS 2021 Limitations of Post-Hoc Feature Alignment for Robustness CVPR 2021 Linear Convergent Decentralized Optimization with Compression ICLR 2021 Liquid Time-constant Networks AAAI 2021