Application Areas

Compressing Neural Networks: Towards Determining the Optimal Layer-wise Decomposition NeurIPS 2021 Compressing Visual-Linguistic Model via Knowledge Distillation ICCV 2021 Computational Visual Ceramicology: Matching Image Outlines to Catalog Sketches AAAI 2021 Conceptual Grounding Constraints for Truly Robust Biomedical Name Representations EACL 2021 CondenseNet V2: Sparse Feature Reactivation for Deep Networks CVPR 2021 Condenser: a Pre-training Architecture for Dense Retrieval EMNLP 2021 Conditional Adversarial Networks for Multi-Domain Text Classification EACL 2021 Conditional Bures Metric for Domain Adaptation CVPR 2021 Conditionally independent data generation UAI 2021 Confidence-Budget Matching for Sequential Budgeted Learning ICML 2021 Confidence Calibration for Domain Generalization Under Covariate Shift ICCV 2021 Confident Anchor-Induced Multi-Source Free Domain Adaptation NeurIPS 2021 Confident Off-Policy Evaluation and Selection through Self-Normalized Importance Weighting AISTATS 2021 Configurable Privacy-Preserving Automatic Speech Recognition Interspeech 2021 Connecting Sphere Manifolds Hierarchically for Regularization ICML 2021 Conservative Objective Models for Effective Offline Model-Based Optimization ICML 2021 Conservative Offline Distributional Reinforcement Learning NeurIPS 2021 Consistency Regularization for Cross-Lingual Fine-Tuning ACL 2021 Consistency Regularization with High-dimensional Non-adversarial Source-guided Perturbation for Unsupervised Domain Adaptation in Segmentation AAAI 2021 Consistent Accelerated Inference via Confident Adaptive Transformers EMNLP 2021 Consistent Instance False Positive Improves Fairness in Face Recognition CVPR 2021 Constrained differentially private federated learning for low-bandwidth devices UAI 2021 Constrained Optimization to Train Neural Networks on Critical and Under-Represented Classes NeurIPS 2021 Constrained Risk-Averse Markov Decision Processes AAAI 2021 Constructing a Fair Classifier with Generated Fair Data AAAI 2021