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Optimization & Theory

7,804 papers (27 classified directly here)

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Papers (including subtopics)

Hybrid Rotation Averaging: A Fast and Robust Rotation Averaging Approach CVPR 2021 HyDRA: Hypergradient Data Relevance Analysis for Interpreting Deep Neural Networks AAAI 2021 Hyperparameter Power Impact in Transformer Language Model Training EMNLP 2021 HypMix: Hyperbolic Interpolative Data Augmentation EMNLP 2021 IA-RED$^2$: Interpretability-Aware Redundancy Reduction for Vision Transformers NeurIPS 2021 Image Generation using Continuous Filter Atoms NeurIPS 2021 Imitating Deep Learning Dynamics via Locally Elastic Stochastic Differential Equations NeurIPS 2021 Implicit Regularization in ReLU Networks with the Square Loss COLT 2021 Implicit Regularization in Tensor Factorization ICML 2021 Improving Accuracy of Binary Neural Networks Using Unbalanced Activation Distribution CVPR 2021 Improving Adversarial Robustness via Probabilistically Compact Loss with Logit Constraints AAAI 2021 Improving Computational Efficiency in Visual Reinforcement Learning via Stored Embeddings NeurIPS 2021 Improving Deep Learning Interpretability by Saliency Guided Training NeurIPS 2021 Improving Gradient Flow with Unrolled Highway Expectation Maximization AAAI 2021 Improving Multilingual Translation by Representation and Gradient Regularization EMNLP 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 Inception Convolution With Efficient Dilation Search CVPR 2021 Incremental Learning via Rate Reduction CVPR 2021 Informer: Beyond Efficient Transformer for Long Sequence Time-Series Forecasting AAAI 2021 Instantaneous Grammatical Error Correction with Shallow Aggressive Decoding ACL 2021 Integrated Directional Gradients: Feature Interaction Attribution for Neural NLP Models ACL 2021 Interpreting and Disentangling Feature Components of Various Complexity from DNNs ICML 2021 Interpreting Deep Neural Networks with Relative Sectional Propagation by Analyzing Comparative Gradients and Hostile Activations AAAI 2021 Interpreting Multivariate Shapley Interactions in DNNs AAAI 2021