Model Compression
2,258 papers
Papers per year
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62
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212
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615
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Papers
Transferable Post-hoc Calibration on Pretrained Transformers in Noisy Text Classification
AAAI 2023
Trapdoor Normalization with Irreversible Ownership Verification
ICML 2023
TVSPrune - Pruning Non-discriminative filters via Total Variation separability of intermediate representations without fine tuning
ICLR 2023
UMUTeam at SemEval-2023 Task 12: Ensemble Learning of LLMs applied to Sentiment Analysis for Low-resource African Languages
SemEval 2023
Understand and Modularize Generator Optimization in ELECTRA-style Pretraining
ICML 2023
Understanding Int4 Quantization for Language Models: Latency Speedup, Composability, and Failure Cases
ICML 2023
Unified Low-Resource Sequence Labeling by Sample-Aware Dynamic Sparse Finetuning
EMNLP 2023
Unlearn What You Want to Forget: Efficient Unlearning for LLMs
EMNLP 2023
Unmasking the Lottery Ticket Hypothesis: What's Encoded in a Winning Ticket's Mask?
ICLR 2023
UPop: Unified and Progressive Pruning for Compressing Vision-Language Transformers
ICML 2023
UPSCALE: Unconstrained Channel Pruning
ICML 2023
VL-PET: Vision-and-Language Parameter-Efficient Tuning via Granularity Control
ICCV 2023
What Makes Convolutional Models Great on Long Sequence Modeling?
ICLR 2023
Your representations are in the network: composable and parallel adaptation for large scale models
NeurIPS 2023
Zero-shot Sharpness-Aware Quantization for Pre-trained Language Models
EMNLP 2023
ZipLM: Inference-Aware Structured Pruning of Language Models
NeurIPS 2023
Accelerating Inference and Language Model Fusion of Recurrent Neural Network Transducers via End-to-End 4-bit Quantization
Interspeech 2022
Accelerating Sparse Convolution with Column Vector-Wise Sparsity
NeurIPS 2022
AdaMix: Mixture-of-Adaptations for Parameter-efficient Model Tuning
EMNLP 2022
AdapLeR: Speeding up Inference by Adaptive Length Reduction
ACL 2022
AdapterBias: Parameter-efficient Token-dependent Representation Shift for Adapters in NLP Tasks
NAACL 2022
AdapterShare: Task Correlation Modeling with Adapter Differentiation
EMNLP 2022
Adapting a Language Model While Preserving its General Knowledge
EMNLP 2022
AdaSTE: An Adaptive Straight-Through Estimator To Train Binary Neural Networks
CVPR 2022
A Flexible Multi-Task Model for BERT Serving
ACL 2022