Optimization & Theory

CDC: Classification Driven Compression for Bandwidth Efficient Edge-Cloud Collaborative Deep Learning IJCAI 2020 Certified Defense to Image Transformations via Randomized Smoothing NeurIPS 2020 Chaining Meets Chain Rule: Multilevel Entropic Regularization and Training of Neural Networks JMLR 2020 Channel Attention Based Iterative Residual Learning for Depth Map Super-Resolution CVPR 2020 Channel Pruning Guided by Classification Loss and Feature Importance AAAI 2020 Channel Pruning via Automatic Structure Search IJCAI 2020 Circle Loss: A Unified Perspective of Pair Similarity Optimization CVPR 2020 Cogradient Descent for Bilinear Optimization CVPR 2020 Collaborative Distillation for Ultra-Resolution Universal Style Transfer CVPR 2020 Collegial Ensembles NeurIPS 2020 Communication-Efficient Distributed Stochastic AUC Maximization with Deep Neural Networks ICML 2020 Compact Speaker Embedding: lrx-Vector Interspeech 2020 Complexity of Finding Stationary Points of Nonconvex Nonsmooth Functions ICML 2020 Compressing BERT: Studying the Effects of Weight Pruning on Transfer Learning ACL 2020 Compressing Transformer-Based Semantic Parsing Models using Compositional Code Embeddings EMNLP 2020 Computing the Testing Error Without a Testing Set CVPR 2020 Confidence-Aware Learning for Deep Neural Networks ICML 2020 Conic Descent and its Application to Memory-efficient Optimization over Positive Semidefinite Matrices NeurIPS 2020 Consistency Regularization for Certified Robustness of Smoothed Classifiers NeurIPS 2020 Contextual Residual Aggregation for Ultra High-Resolution Image Inpainting CVPR 2020 Continual Learning With Extended Kronecker-Factored Approximate Curvature CVPR 2020 Contrastive Distillation on Intermediate Representations for Language Model Compression EMNLP 2020 Controllable Orthogonalization in Training DNNs CVPR 2020 Convergence Rates for the Stochastic Gradient Descent Method for Non-Convex Objective Functions JMLR 2020 Convergence Rates of a Momentum Algorithm with Bounded Adaptive Step Size for Nonconvex Optimization ACML 2020