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← Core Methods
Machine Learning
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Core Methods
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Model Compression
141 directly classified papers
Papers per year
2011: 1
2013: 1
2016: 2
2018: 1
2019: 5
2020: 8
2021: 23
2022: 7
2023: 17
2024: 42
2025: 34
Papers
On the Ability of Developers' Training Data Preservation of Learnware
NIPS 2024
MEDIC: Remove Model Backdoors via Importance Driven Cloning
CVPR 2023
Marich: A Query-efficient Distributionally Equivalent Model Extraction Attack
NIPS 2023
ESL-SNNs: An Evolutionary Structure Learning Strategy for Spiking Neural Networks
AAAI 2023
Probabilistic Unrolling: Scalable, Inverse-Free Maximum Likelihood Estimation for Latent Gaussian Models
ICML 2023
Accelerating Dataset Distillation via Model Augmentation
CVPR 2023
SLAMB: Accelerated Large Batch Training with Sparse Communication
ICML 2023
Fair Scratch Tickets: Finding Fair Sparse Networks Without Weight Training
CVPR 2023
GOHSP: A Unified Framework of Graph and Optimization-Based Heterogeneous Structured Pruning for Vision Transformer
AAAI 2023
Large-Capacity and Flexible Video Steganography via Invertible Neural Network
CVPR 2023
A Metric-Driven Approach to Conformer Layer Pruning for Efficient ASR Inference
INTERSPEECH 2023
Tensor-based Kernel Machines with Structured Inducing Points for Large and High-Dimensional Data
AISTATS 2023
ASkewSGD : An Annealed interval-constrained Optimisation method to train Quantized Neural Networks
AISTATS 2023
Breaking through Deterministic Barriers: Randomized Pruning Mask Generation and Selection
EMNLP 2023
GreenKGC: A Lightweight Knowledge Graph Completion Method
ACL 2023
TokenDrop + BucketSampler: Towards Efficient Padding-free Fine-tuning of Language Models
EMNLP 2023
Dec-Adapter: Exploring Efficient Decoder-Side Adapter for Bridging Screen Content and Natural Image Compression
ICCV 2023
Why Random Pruning Is All We Need to Start Sparse
ICML 2023
SInGE: Sparsity via Integrated Gradients Estimation of Neuron Relevance
NIPS 2022
Tight Neural Network Verification via Semidefinite Relaxations and Linear Reformulations
AAAI 2022
Sparse Probabilistic Circuits via Pruning and Growing
NIPS 2022
Nonuniform-to-Uniform Quantization: Towards Accurate Quantization via Generalized Straight-Through Estimation
CVPR 2022
DyRep: Bootstrapping Training With Dynamic Re-Parameterization
CVPR 2022
Combining Compressions for Multiplicative Size Scaling on Natural Language Tasks
COLING 2022
Learning to Win Lottery Tickets in BERT Transfer via Task-agnostic Mask Training
NAACL 2022
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