Can Jin

Learning Paradigms (1)

model compression (1) neural network pruning (1) representation learning (1) feature learning (1) imitation learning (1) transfer learning (1) knowledge distillation (1) network pruning (1) neural network sparsification (1) regularization technique (1) student learner (1) visual prompting (1) student-teacher learning (1) neural network (1) weight sparsity (1) data-model co-design (1) robustness against attack (1) deliberative alignment (1) case augmented reasoning (1) safety reasoning chain (1)