parameter reduction

Compressing Transformers: Features Are Low-Rank, but Weights Are Not! AAAI 2023 Exploring Transformers as Compact, Data-efficient Language Models CoNLL 2023 Global Vision Transformer Pruning With Hessian-Aware Saliency CVPR 2023 SVD-NAS: Coupling Low-Rank Approximation and Neural Architecture Search WACV 2023 Tensor decomposition for minimization of E2E SLU model toward on-device processing Interspeech 2023 A Passive Similarity based CNN Filter Pruning for Efficient Acoustic Scene Classification Interspeech 2022 Batch Normalization Tells You Which Filter Is Important WACV 2022 Deeply Tensor Compressed Transformers for End-to-End Object Detection AAAI 2022 HODEC: Towards Efficient High-Order DEcomposed Convolutional Neural Networks CVPR 2022 How to Reduce Action Space for Planning Domains? (Student Abstract) AAAI 2022 MicroBERT: Effective Training of Low-resource Monolingual BERTs through Parameter Reduction and Multitask Learning EMNLP 2022 Model Compression by Iterative Pruning with Knowledge Distillation and Its Application to Speech Enhancement Interspeech 2022 MorphTE: Injecting Morphology in Tensorized Embeddings NeurIPS 2022 Online Convolutional Re-Parameterization CVPR 2022 PPCD-GAN: Progressive Pruning and Class-Aware Distillation for Large-Scale Conditional GANs Compression WACV 2022 SpanConv: A New Convolution via Spanning Kernel Space for Lightweight Pansharpening IJCAI 2022 Spectral Pruning for Recurrent Neural Networks AISTATS 2022 Accelerating Neural Machine Translation with Partial Word Embedding Compression AAAI 2021 Associative Convolutional Layers AISTATS 2021 Exploiting the Redundancy in Convolutional Filters for Parameter Reduction WACV 2021 On Randomized Classification Layers and Their Implications in Natural Language Generation NAACL 2021 Redesigning the Transformer Architecture with Insights from Multi-particle Dynamical Systems NeurIPS 2021 UnClE: Explicitly Leveraging Semantic Similarity to Reduce the Parameters of Word Embeddings EMNLP 2021 Virtual Fully-Connected Layer: Training a Large-Scale Face Recognition Dataset With Limited Computational Resources CVPR 2021 ALBERT: A Lite BERT for Self-supervised Learning of Language Representations ICLR 2020