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Model Compression

1928 directly classified papers

Papers per year

Papers

Backdooring Neural Code Search ACL 2023

ReCode: Robustness Evaluation of Code Generation Models ACL 2023

Adaptive Contrastive Knowledge Distillation for BERT Compression ACL 2023

Pruning Pre-trained Language Models with Principled Importance and Self-regularization ACL 2023

The Pick-to-Learn Algorithm: Empowering Compression for Tight Generalization Bounds and Improved Post-training Performance NIPS 2023

LLM-Adapters: An Adapter Family for Parameter-Efficient Fine-Tuning of Large Language Models EMNLP 2023

Exploring All-In-One Knowledge Distillation Framework for Neural Machine Translation EMNLP 2023

Toward Accurate Post-Training Quantization for Image Super Resolution CVPR 2023

Mitigating Task Interference in Multi-Task Learning via Explicit Task Routing With Non-Learnable Primitives CVPR 2023

Structured Sparsity Learning for Efficient Video Super-Resolution CVPR 2023

DR2: Diffusion-Based Robust Degradation Remover for Blind Face Restoration CVPR 2023

Efficient Transformer Knowledge Distillation: A Performance Review EMNLP 2023

Parameter-efficient Dysarthric Speech Recognition Using Adapter Fusion and Householder Transformation INTERSPEECH 2023

Adapter-tuning with Effective Token-dependent Representation Shift for Automatic Speech Recognition INTERSPEECH 2023

Prune Spatio-temporal Tokens by Semantic-aware Temporal Accumulation ICCV 2023

TORE: Token Reduction for Efficient Human Mesh Recovery with Transformer ICCV 2023

Bridging Vision and Language Encoders: Parameter-Efficient Tuning for Referring Image Segmentation ICCV 2023

Detecting and Repairing Deviated Outputs of Compressed Models ACML 2023

Lion: Adversarial Distillation of Proprietary Large Language Models EMNLP 2023

Adapting Language Models to Compress Contexts EMNLP 2023

LLMLingua: Compressing Prompts for Accelerated Inference of Large Language Models EMNLP 2023

Facto-CNN: Memory-Efficient CNN Training with Low-rank Tensor Factorization and Lossy Tensor Compression ACML 2023

Compressing and Debiasing Vision-Language Pre-Trained Models for Visual Question Answering EMNLP 2023

LLM-FP4: 4-Bit Floating-Point Quantized Transformers EMNLP 2023

Towards Robust Pruning: An Adaptive Knowledge-Retention Pruning Strategy for Language Models EMNLP 2023