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Model Compression

1928 directly classified papers

Papers per year

Papers

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

SPEED-Q: Staged Processing with Enhanced Distillation Towards Efficient Low-Bit On-Device VLM Quantization AAAI 2026

Transferable Backdoor Attacks for Code Models via Sharpness-Aware Adversarial Perturbation AAAI 2026

Towards Training-Free and Accurate ANN-to-SNN Conversion via Activation-Aware Redistribution AAAI 2026

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

AfriNLLB: Efficient Translation Models for African Languages EACL 2026

Multimodal Adversarial Defense for Vision-Language Models by Leveraging One-To-Many Relationships WACV 2026

Mosaic Pruning: A Hierarchical Framework for Generalizable Pruning of Mixture-of-Experts Models AAAI 2026

HiPrune: Training-Free Visual Token Pruning via Hierarchical Attention in Vision-Language Models (Student Abstract) AAAI 2026

Adaptive Compute Efficient Learning via Conceptual-Criticality (Student Abstract) AAAI 2026

Unveiling AI Safety in Fine-tuning Quantized Model AAAI 2026

Scale Regularization for Stable Low-Rank Adaptation AAAI 2026

From Lightweight CNNs to SpikeNets: Benchmarking Accuracy-Energy Tradeoffs with Pruned Spiking SqueezeNet WACV 2026

Federated Model Synchronization for Diagnostic Redefinition through a Novel Selective Parameter Unlearning WACV 2026

MHA2MLA-VLM: Enabling DeepSeek’s Economical Multi-Head Latent Attention Across Vision-Language Models AAAI 2026

D2MoRA: Diversity-Regulated Asymmetric MoE-LoRA Decomposition for Efficient Multi-Task Adaptation AAAI 2026

One-Cycle Structured Pruning via Stability-Driven Subnetwork Search WACV 2026

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

DeepTracer: Tracing Stolen Model via Deep Coupled Watermarks AAAI 2026

SALR: Sparsity-Aware Low-Rank Representation for Efficient Fine-Tuning of Large Language Models AAAI 2026

Grow-on-Demand: Sparse and Adaptive Expert Expansion for Continual Instruction Tuning AAAI 2026

Pseudo-Spiking Neurons: A Noise-Based Training Framework for Heterogeneous-Latency Spiking Neural Networks AAAI 2026

FLRQ: Faster LLM Quantization with Flexible Low-Rank Matrix Sketching AAAI 2026

CommitMoE: Efficient Fallback-Free MoE Inference with Offloading Under GPU Memory Constraints AAAI 2026

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