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← Optimization & Theory
Deep Learning
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Optimization & Theory
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Model Compression
1674 directly classified papers
Papers per year
2012: 1
2013: 2
2014: 2
2015: 7
2016: 9
2017: 27
2018: 51
2019: 79
2020: 189
2021: 165
2022: 206
2023: 207
2024: 325
2025: 399
2026: 5
Papers
Binary Event-Driven Spiking Transformer
IJCAI 2025
SODA: Spectral Orthogonal Decomposition Adaptation for Diffusion Models
WACV 2025
Boost Embodied AI Models with Robust Compression Boundary
IJCAI 2025
FBQuant: FeedBack Quantization for Large Language Models
IJCAI 2025
WINS: Winograd Structured Pruning for Fast Winograd Convolution
ICCV 2025
Lossless Acceleration of Large Language Models with Hierarchical Drafting based on Temporal Locality in Speculative Decoding
NAACL 2025
RankAdaptor: Hierarchical Rank Allocation for Efficient Fine-Tuning Pruned LLMs via Performance Model
NAACL 2025
As easy as PIE: understanding when pruning causes language models to disagree
NAACL 2025
Large Language Models Are Overparameterized Text Encoders
NAACL 2025
Vocabulary-level Memory Efficiency for Language Model Fine-tuning
NAACL 2025
Encoder-Aware Sequence-Level Knowledge Distillation for Low-Resource Neural Machine Translation
NAACL 2025
Outlier-Aware Post-Training Quantization for Image Super-Resolution
ICCV 2025
CodecNeRF: Toward Fast Encoding and Decoding, Compact, and High-quality Novel-view Synthesis
AAAI 2025
TORE: Token Recycling in Vision Transformers for Efficient Active Visual Exploration
WACV 2025
ICP: Immediate Compensation Pruning for Mid-to-high Sparsity
CVPR 2025
Unlocking the Potential of Lightweight Quantized Models for Deepfake Detection
IJCAI 2025
Model Unlearning via Sparse Autoencoder Subspace Guided Projections
EMNLP 2025
EnergyCompress: A General Case Base Learning Strategy
IJCAI 2025
Not All Layers of LLMs Are Necessary During Inference
IJCAI 2025
DyRoNet: Dynamic Routing and Low-Rank Adapters for Autonomous Driving Streaming Perception
WACV 2025
Partial Filter-Sharing: Improved Parameter-Sharing Method for Single Image Super-Resolution Networks
WACV 2025
Comparative Knowledge Distillation
WACV 2025
ELMGS: Enhancing Memory and Computation Scalability through Compression for 3D Gaussian Splatting
WACV 2025
Revisiting Disparity from Dual-Pixel Images: Physics-Informed Lightweight Depth Estimation
WACV 2025
Robust Machine Unlearning for Quantized Neural Networks via Adaptive Gradient Reweighting with Similar Labels
ICCV 2025
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