Optimization & Theory

Compatibility-Aware Heterogeneous Visual Search CVPR 2021 Compressing 1D Time-Channel Separable Convolutions Using Sparse Random Ternary Matrices Interspeech 2021 Compressing Deep Convolutional Neural Networks by Stacking Low-dimensional Binary Convolution Filters AAAI 2021 Compression, Transduction, and Creation: A Unified Framework for Evaluating Natural Language Generation EMNLP 2021 CondenseNet V2: Sparse Feature Reactivation for Deep Networks CVPR 2021 Conditional Poisson Stochastic Beams EMNLP 2021 Connecting Sphere Manifolds Hierarchically for Regularization ICML 2021 ContactOpt: Optimizing Contact To Improve Grasps CVPR 2021 Content-Aware GAN Compression CVPR 2021 Continual Learning via Bit-Level Information Preserving CVPR 2021 Continuous Wasserstein-2 Barycenter Estimation without Minimax Optimization ICLR 2021 Contrastive Neural Architecture Search With Neural Architecture Comparators CVPR 2021 Contributions of Transformer Attention Heads in Multi- and Cross-lingual Tasks ACL 2021 Controlled tasks for model analysis: Retrieving discrete information from sequences EMNLP 2021 Convergence and Alignment of Gradient Descent with Random Backpropagation Weights NeurIPS 2021 Convergence of adaptive algorithms for constrained weakly convex optimization NeurIPS 2021 Convergence rates and approximation results for SGD and its continuous-time counterpart COLT 2021 Convolutional Neural Network Pruning With Structural Redundancy Reduction CVPR 2021 Cooperative SGD: A Unified Framework for the Design and Analysis of Local-Update SGD Algorithms JMLR 2021 Coordinate Attention for Efficient Mobile Network Design CVPR 2021 Corrected CBOW Performs as well as Skip-gram EMNLP 2021 Correlation-Aware Heuristic Search for Intelligent Virtual Machine Provisioning in Cloud Systems AAAI 2021 Coupled Gradient Estimators for Discrete Latent Variables NeurIPS 2021 Cross-Iteration Batch Normalization CVPR 2021 Cross Modal Focal Loss for RGBD Face Anti-Spoofing CVPR 2021