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Model Compression

1928 directly classified papers

Papers per year

Papers

HardF-SNN: Hardware-Friendly Quantization for Spiking Neural Networks with Efficient Integer-Arithmetic-Only Inference AAAI 2026

Training-Free ANN-to-SNN Conversion for High-Performance Spiking Transformers AAAI 2026

Discretization Is Not Always Better: Rethinking Deep Quantization for Asymmetric Image Retrieval AAAI 2026

Global Compression Commander: Plug-and-Play Inference Acceleration for High-Resolution Large Vision-Language Models AAAI 2026

TOP-RL: Task-Optimized Progressive Token Pruning with Reinforcement Learning for Vision Language Models AAAI 2026

FT-NCFM: An Influence-Aware Data Distillation Framework for Efficient VLA Models AAAI 2026

LSHFed: Robust and Communication-Efficient Federated Learning with Locally-Sensitive Hashing Gradient Mapping AAAI 2026

LoGIC: Multi-LoRA Guided Importance Consensus for Multi-Task Pruning in Vision Transformers AAAI 2026

Sub-MoE: Efficient Mixture-of-Expert LLMs Compression via Subspace Expert Merging AAAI 2026

LLA: Enhancing Security and Privacy for Generative Models with Logic-Locked Accelerators AAAI 2026

Direction Sensitivity–Based Knowledge Distillation: Optimization-Aware Low-Rank Knowledge Transfer AAAI 2026

GLOBA: Rethinking Parameter Conflicts in Model Merging AAAI 2026

Neural-Augmented Kelvinlet for Real-Time Soft Tissue Deformation Modeling AAAI 2026

DQT: Dynamic Quantization Training via Dequantization-Free Nested Integer Arithmetic AAAI 2026

Self-Indexing KVCache: Predicting Sparse Attention from Compressed Keys AAAI 2026

DeepTracer: Tracing Stolen Model via Deep Coupled Watermarks AAAI 2026

Sparse Logit Sampling: Accelerating Knowledge Distillation in LLMs ACL 2025

Private Memorization Editing: Turning Memorization into a Defense to Strengthen Data Privacy in Large Language Models ACL 2025

Neural-Symbolic Collaborative Distillation: Advancing Small Language Models for Complex Reasoning Tasks AAAI 2025

Continual Gradient Low-Rank Projection Fine-Tuning for LLMs ACL 2025

ClusterAttn: KV Cache Compression under Intrinsic Attention Clustering ACL 2025

Fast Track to Winning Tickets: Repowering One-Shot Pruning for Graph Neural Networks AAAI 2025

Prompt Compression with Context-Aware Sentence Encoding for Fast and Improved LLM Inference AAAI 2025

STUN: Structured-Then-Unstructured Pruning for Scalable MoE Pruning ACL 2025

Outlier-Safe Pre-Training for Robust 4-Bit Quantization of Large Language Models ACL 2025