neural network pruning

Gradient-based Gradual Pruning for Language-Specific Multilingual Neural Machine Translation EMNLP 2023 Holistic Adversarially Robust Pruning ICLR 2023 HomoDistil: Homotopic Task-Agnostic Distillation of Pre-trained Transformers ICLR 2023 How I Learned to Stop Worrying and Love Retraining ICLR 2023 Is Overfitting Necessary for Implicit Video Representation? ICML 2023 Lockdown: Backdoor Defense for Federated Learning with Isolated Subspace Training NeurIPS 2023 LOFT: Finding Lottery Tickets through Filter-wise Training AISTATS 2023 LoSparse: Structured Compression of Large Language Models based on Low-Rank and Sparse Approximation ICML 2023 Lottery Tickets in Evolutionary Optimization: On Sparse Backpropagation-Free Trainability ICML 2023 Memory-Friendly Scalable Super-Resolution via Rewinding Lottery Ticket Hypothesis CVPR 2023 Neural Sculpting: Uncovering hierarchically modular task structure in neural networks through pruning and network analysis NeurIPS 2023 Not All Neighbors Matter: Point Distribution-Aware Pruning for 3D Point Cloud AAAI 2023 NTK-SAP: Improving neural network pruning by aligning training dynamics ICLR 2023 Optimal Sets and Solution Paths of ReLU Networks ICML 2023 Parameter and Computation Efficient Transfer Learning for Vision-Language Pre-trained Models NeurIPS 2023 Parameter-Level Soft-Masking for Continual Learning ICML 2023 Polynomially Over-Parameterized Convolutional Neural Networks Contain Structured Strong Winning Lottery Tickets NeurIPS 2023 Practical Network Acceleration With Tiny Sets CVPR 2023 Pruning Pre-trained Language Models Without Fine-Tuning ACL 2023 Pruning vs Quantization: Which is Better? NeurIPS 2023 Quantum Ridgelet Transform: Winning Lottery Ticket of Neural Networks with Quantum Computation ICML 2023 Re-GAN: Data-Efficient GANs Training via Architectural Reconfiguration CVPR 2023 RLx2: Training a Sparse Deep Reinforcement Learning Model from Scratch ICLR 2023 Safety Aware Neural Pruning for Deep Reinforcement Learning (Student Abstract) AAAI 2023 SD-Conv: Towards the Parameter-Efficiency of Dynamic Convolution WACV 2023