Application Areas

Towards Unbounded Machine Unlearning NeurIPS 2023 Towards Understanding and Improving Knowledge Distillation for Neural Machine Translation ACL 2023 Towards Understanding and Reducing Graph Structural Noise for GNNs ICML 2023 Towards Understanding Ensemble Distillation in Federated Learning ICML 2023 Towards Understanding Ensemble, Knowledge Distillation and Self-Distillation in Deep Learning ICLR 2023 Towards Understanding GD with Hard and Conjugate Pseudo-labels for Test-Time Adaptation ICLR 2023 Towards Unsupervised Domain Generalization for Face Anti-Spoofing ICCV 2023 Towards Viewpoint Robustness in Bird's Eye View Segmentation ICCV 2023 Toward Understanding Generative Data Augmentation NeurIPS 2023 Toxicity in Multilingual Machine Translation at Scale EMNLP 2023 T-Phenotype: Discovering Phenotypes of Predictive Temporal Patterns in Disease Progression AISTATS 2023 TpuGraphs: A Performance Prediction Dataset on Large Tensor Computational Graphs NeurIPS 2023 TR0N: Translator Networks for 0-Shot Plug-and-Play Conditional Generation ICML 2023 Tracking Different Ant Species: An Unsupervised Domain Adaptation Framework and a Dataset for Multi-object Tracking IJCAI 2023 Trade-Off Between Robustness and Accuracy of Vision Transformers CVPR 2023 Trade-Offs Between Fairness and Privacy in Language Modeling ACL 2023 Trading-off price for data quality to achieve fair online allocation NeurIPS 2023 Trainable Projected Gradient Method for Robust Fine-Tuning CVPR 2023 Trainable Weight Averaging: Efficient Training by Optimizing Historical Solutions ICLR 2023 Train Faster, Perform Better: Modular Adaptive Training in Over-Parameterized Models NeurIPS 2023 Train Global, Tailor Local: Minimalist Multilingual Translation into Endangered Languages EACL 2023 Training a General Spiking Neural Network with Improved Efficiency and Minimum Latency ACML 2023 Training and Meta-Evaluating Machine Translation Evaluation Metrics at the Paragraph Level EMNLP 2023 Training Data Extraction From Pre-trained Language Models: A Survey ACL 2023 Training Models on Oversampled Data and a Novel Multi-class Annotation Scheme for Dementia Detection ACL 2023