conftrace_
← Keywords

model compression

3302 papers

Explore in graph

Also known as

MC

Co-occurring keywords

knowledge distillation (3725) large language model (13587) neural network (6616) efficient computing (781) neural network optimization (1293) transfer learning (5449) convolutional neural network (4226) neural network pruning (265) language model (4599) parameter efficiency (417)

Papers

Accelerating Dataset Distillation via Model Augmentation CVPR 2023
ERM-KTP: Knowledge-Level Machine Unlearning via Knowledge Transfer CVPR 2023
Data-free Knowledge Distillation for Fine-grained Visual Categorization ICCV 2023
Understanding the Role of Mixup in Knowledge Distillation: An Empirical Study WACV 2023
Are Straight-Through Gradients and Soft-Thresholding All You Need for Sparse Training? WACV 2023
SVD-NAS: Coupling Low-Rank Approximation and Neural Architecture Search WACV 2023
LAB: Learnable Activation Binarizer for Binary Neural Networks WACV 2023
One Wide Feedforward Is All You Need EMNLP 2023
Compute-Efficient Deep Learning: Algorithmic Trends and Opportunities JMLR 2023
Rethinking Word-Level Auto-Completion in Computer-Aided Translation EMNLP 2023
Leap-of-Thought: Accelerating Transformers via Dynamic Token Routing EMNLP 2023
G-SPEED: General SParse Efficient Editing MoDel EMNLP 2023
MUX-PLMs: Data Multiplexing for High-throughput Language Models EMNLP 2023
Toward Stable, Interpretable, and Lightweight Hyperspectral Super-Resolution CVPR 2023
Less Is More: Reducing Task and Model Complexity for 3D Point Cloud Semantic Segmentation CVPR 2023
Compressing Volumetric Radiance Fields to 1 MB CVPR 2023
PointDistiller: Structured Knowledge Distillation Towards Efficient and Compact 3D Detection CVPR 2023
Masked Wavelet Representation for Compact Neural Radiance Fields CVPR 2023
Laughing Hyena Distillery: Extracting Compact Recurrences From Convolutions NIPS 2023
Distilling Universal and Joint Knowledge for Cross-Domain Model Compression on Time Series Data IJCAI 2023
SAMP: A Model Inference Toolkit of Post-Training Quantization for Text Processing via Self-Adaptive Mixed-Precision EMNLP 2023
Inference-Time Policy Adapters (IPA): Tailoring Extreme-Scale LMs without Fine-tuning EMNLP 2023
ZipLM: Inference-Aware Structured Pruning of Language Models NIPS 2023
Parameter and Computation Efficient Transfer Learning for Vision-Language Pre-trained Models NIPS 2023
GhostRNN: Reducing State Redundancy in RNN with Cheap Operations INTERSPEECH 2023