Application Areas

Augmentation-Aware Self-Supervision for Data-Efficient GAN Training NeurIPS 2023 Augmentation by Counterfactual Explanation - Fixing an Overconfident Classifier WACV 2023 Augmentation-Free Dense Contrastive Knowledge Distillation for Efficient Semantic Segmentation NeurIPS 2023 Augmentation with Projection: Towards an Effective and Efficient Data Augmentation Paradigm for Distillation ICLR 2023 Augmenting Reddit Posts to Determine Wellness Dimensions impacting Mental Health ACL 2023 Augment to Interpret: Unsupervised and Inherently Interpretable Graph Embeddings ACML 2023 AUGUST: an Automatic Generation Understudy for Synthesizing Conversational Recommendation Datasets ACL 2023 A Unified Algebraic Perspective on Lipschitz Neural Networks ICLR 2023 A Unified Approach to Domain Incremental Learning with Memory: Theory and Algorithm NeurIPS 2023 A Unified Continual Learning Framework with General Parameter-Efficient Tuning ICCV 2023 A Unified Detection Framework for Inference-Stage Backdoor Defenses NeurIPS 2023 A Unified Fast Gradient Clipping Framework for DP-SGD NeurIPS 2023 A Unified Framework for Robustness on Diverse Sampling Errors ICCV 2023 A Unified Knowledge Distillation Framework for Deep Directed Graphical Models CVPR 2023 A Unified Knowledge Graph Augmentation Service for Boosting Domain-specific NLP Tasks ACL 2023 A Unified Optimization Framework of ANN-SNN Conversion: Towards Optimal Mapping from Activation Values to Firing Rates ICML 2023 A Unified Recognition and Correction Model under Noisy and Accent Speech Conditions Interspeech 2023 A Unified Solution for Privacy and Communication Efficiency in Vertical Federated Learning NeurIPS 2023 A Unified Spatial-Angular Structured Light for Single-View Acquisition of Shape and Reflectance CVPR 2023 A Unifying Perspective on Multi-Calibration: Game Dynamics for Multi-Objective Learning NeurIPS 2023 Auto-CARD: Efficient and Robust Codec Avatar Driving for Real-Time Mobile Telepresence CVPR 2023 Auto-Differentiation of Relational Computations for Very Large Scale Machine Learning ICML 2023 Autoencoders as Cross-Modal Teachers: Can Pretrained 2D Image Transformers Help 3D Representation Learning? ICLR 2023 AutoGluon–TimeSeries: AutoML for Probabilistic Time Series Forecasting AutoML 2023 AutoGO: Automated Computation Graph Optimization for Neural Network Evolution NeurIPS 2023