Optimization

Informed Sampling for Diversity in Concept-to-Text NLG EMNLP 2021 Instance-adaptive training with noise-robust losses against noisy labels EMNLP 2021 Instance Specific Approximations for Submodular Maximization ICML 2021 Integer-Arithmetic-Only Certified Robustness for Quantized Neural Networks ICCV 2021 Integer programming-based error-correcting output code design for robust classification UAI 2021 Integer Programming for Causal Structure Learning in the Presence of Latent Variables ICML 2021 Integrated Directional Gradients: Feature Interaction Attribution for Neural NLP Models ACL 2021 Intermediate Layer Optimization for Inverse Problems using Deep Generative Models ICML 2021 Interpretable Neural Architecture Search via Bayesian Optimisation with Weisfeiler-Lehman Kernels ICLR 2021 Interpretable Sequence Classification via Discrete Optimization AAAI 2021 Interpreting and Boosting Dropout from a Game-Theoretic View ICLR 2021 Intrinsic Dimensionality Explains the Effectiveness of Language Model Fine-Tuning ACL 2021 Inverse Simulation: Reconstructing Dynamic Geometry of Clothed Humans via Optimal Control CVPR 2021 Inverse-Weighted Survival Games NeurIPS 2021 IQDet: Instance-Wise Quality Distribution Sampling for Object Detection CVPR 2021 IrEne: Interpretable Energy Prediction for Transformers ACL 2021 Isometric Multi-Shape Matching CVPR 2021 Iso-Points: Optimizing Neural Implicit Surfaces With Hybrid Representations CVPR 2021 Is the Most Accurate AI the Best Teammate? Optimizing AI for Teamwork AAAI 2021 Iterative Amortized Policy Optimization NeurIPS 2021 Iteratively Reweighted Least Squares for Basis Pursuit with Global Linear Convergence Rate NeurIPS 2021 Iterative regularization for convex regularizers AISTATS 2021 It Has Potential: Gradient-Driven Denoisers for Convergent Solutions to Inverse Problems NeurIPS 2021 iVPF: Numerical Invertible Volume Preserving Flow for Efficient Lossless Compression CVPR 2021 JEM++: Improved Techniques for Training JEM ICCV 2021