Model Compression

Adaptive Data-Free Quantization CVPR 2023 Adaptive Low-Precision Training for Embeddings in Click-Through Rate Prediction AAAI 2023 Adaptive Neural Network Quantization For Lightweight Speaker Verification Interspeech 2023 AD-KD: Attribution-Driven Knowledge Distillation for Language Model Compression ACL 2023 AD-TUNING: An Adaptive CHILD-TUNING Approach to Efficient Hyperparameter Optimization of Child Networks for Speech Processing Tasks in the SUPERB Benchmark Interspeech 2023 A Metric-Driven Approach to Conformer Layer Pruning for Efficient ASR Inference Interspeech 2023 A Model for Every User and Budget: Label-Free and Personalized Mixed-Precision Quantization Interspeech 2023 A Multiple-Teacher Pruning Based Self-Distillation (MT-PSD) Approach to Model Compression for Audio-Visual Wake Word Spotting Interspeech 2023 Are Compressed Language Models Less Subgroup Robust? EMNLP 2023 Are You Copying My Model? Protecting the Copyright of Large Language Models for EaaS via Backdoor Watermark ACL 2023 A Scalable and Efficient Iterative Method for Copying Machine Learning Classifiers JMLR 2023 ASkewSGD : An Annealed interval-constrained Optimisation method to train Quantized Neural Networks AISTATS 2023 A Survey on Model Compression and Acceleration for Pretrained Language Models AAAI 2023 A Systematic Study of Knowledge Distillation for Natural Language Generation with Pseudo-Target Training ACL 2023 ATFormer: A Learned Performance Model with Transfer Learning Across Devices for Deep Learning Tensor Programs EMNLP 2023 A Toolkit for Reliable Benchmarking and Research in Multi-Objective Reinforcement Learning NeurIPS 2023 Augmentation-Free Dense Contrastive Knowledge Distillation for Efficient Semantic Segmentation NeurIPS 2023 Balanced Column-Wise Block Pruning for Maximizing GPU Parallelism AAAI 2023 Bayesian Optimization Over Iterative Learners with Structured Responses: A Budget-aware Planning Approach AISTATS 2023 Beyond Attentive Tokens: Incorporating Token Importance and Diversity for Efficient Vision Transformers CVPR 2023 Bias in Pruned Vision Models: In-Depth Analysis and Countermeasures CVPR 2023 BiBench: Benchmarking and Analyzing Network Binarization ICML 2023 Bi-directional Masks for Efficient N:M Sparse Training ICML 2023 Binarizing Sparse Convolutional Networks for Efficient Point Cloud Analysis CVPR 2023 Bit-Shrinking: Limiting Instantaneous Sharpness for Improving Post-Training Quantization CVPR 2023