Research Explorer
Papers
Trends
Conferences
Explore
Authors
Topics
Keywords
Papers
Trends
Conferences
Explore
Authors
Topics
Keywords
Achievements
About
Methodology
← Core AI
Artificial Intelligence
›
Core AI
›
Model Compression
1928 directly classified papers
Papers per year
2013: 2
2014: 1
2015: 6
2016: 4
2017: 13
2018: 47
2019: 81
2020: 114
2021: 172
2022: 191
2023: 272
2024: 370
2025: 489
2026: 166
Papers
Neural-Symbolic Collaborative Distillation: Advancing Small Language Models for Complex Reasoning Tasks
AAAI 2025
Prompt Compression with Context-Aware Sentence Encoding for Fast and Improved LLM Inference
AAAI 2025
Adaptive Draft-Verification for Efficient Large Language Model Decoding
AAAI 2025
PAT: Pruning-Aware Tuning for Large Language Models
AAAI 2025
CSR:Achieving 1 Bit Key-Value Cache via Sparse Representation
AAAI 2025
Leveraging Attention to Effectively Compress Prompts for Long-Context LLMs
AAAI 2025
Reference-Based Post-OCR Processing with LLM for Precise Diacritic Text in Historical Document Recognition
AAAI 2025
PrivDNFIS: Privacy-preserving and Efficient Deep Neuro-Fuzzy Inference System
AAAI 2025
JAQ: Joint Efficient Architecture Design and Low-Bit Quantization with Hardware-Software Co-Exploration
AAAI 2025
Can Students Beyond the Teacher? Distilling Knowledge from Teacher’s Bias
AAAI 2025
QJL: 1-Bit Quantized JL Transform for KV Cache Quantization with Zero Overhead
AAAI 2025
Learning to Rewind via Iterative Prediction of Past Weights for Practical Unlearning
AAAI 2025
Fast and Slow Gradient Approximation for Binary Neural Network Optimization
AAAI 2025
Compression-Aware Computing for Scalable and Sustainable AI
AAAI 2025
LoRA Unlearns More and Retains More (Student Abstract)
AAAI 2025
A Good Teacher Adapts Their Knowledge for Distillation
ICCV 2025
Generalized Tensor-based Parameter-Efficient Fine-Tuning via Lie Group Transformations
ICCV 2025
Task-Specific Zero-shot Quantization-Aware Training for Object Detection
ICCV 2025
Feature Coding in the Era of Large Models: Dataset, Test Conditions, and Benchmark
ICCV 2025
Knowledge Distillation with Refined Logits
ICCV 2025
SSVQ: Unleashing the Potential of Vector Quantization with Sign-Splitting
ICCV 2025
ViM-VQ: Efficient Post-Training Vector Quantization for Visual Mamba
ICCV 2025
KOEnsAttack: Towards Efficient Data-Free Black-Box Adversarial Attacks via Knowledge-Orthogonalized Substitute Ensembles
ICCV 2025
TRNAS: A Training-Free Robust Neural Architecture Search
ICCV 2025
Multi-Granular Spatio-Temporal Token Merging for Training-Free Acceleration of Video LLMs
ICCV 2025
<
1
…
16
17
18
…
78
>