_ | unlearning | _ |
Boundary | unlearning | : Rapid Forgetting of Deep Networks via Shifting the Decision Boundary |
converging | unlearning | algorithm for the Hopfield neural network: optimal strategy, The |
Deep | unlearning | via Randomized Conditionally Independent Hessians |
Disposable Transfer Learning for Selective Source Task | unlearning | |
Efficient Two-stage Model Retraining for Machine | unlearning | |
ERM-KTP: Knowledge-Level Machine | unlearning | via Knowledge Transfer |
Learn to Unlearn for Deep Neural Networks: Minimizing | unlearning | Interference with Gradient Projection |
Learn to Unlearn: Insights Into Machine | unlearning | |
MUter: Machine | unlearning | on Adversarially Trained Models |
SAFE: Machine | unlearning | With Shard Graphs |
10 for unlearning
_ | unleashing | _ |
l8-Robustness and Beyond: | unleashing | Efficient Adversarial Training |
| unleashing | Knowledge Potential of Source Hypothesis for Source-Free Domain Adaptation |
| unleashing | Potential of Unsupervised Pre-Training with Intra-Identity Regularization for Person Re-Identification |
| unleashing | Text-to-Image Diffusion Models for Visual Perception |
| unleashing | the Potential of Adaptation Models via Go-getting Domain Labels |
| unleashing | the Potential of Spiking Neural Networks with Dynamic Confidence |
| unleashing | the Power of Gradient Signal-to-Noise Ratio for Zero-Shot NAS |
| unleashing | Transformers: Parallel Token Prediction with Discrete Absorbing Diffusion for Fast High-Resolution Image Generation from Vector-Quantized Codes |
| unleashing | Vanilla Vision Transformer with Masked Image Modeling for Object Detection |
9 for unleashing