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Model Compression

1674 directly classified papers

Papers per year

Papers

SequentialAttention++ for Block Sparsification: Differentiable Pruning Meets Combinatorial Optimization NIPS 2024
IT-Tuning : Parameter Efficient Information Token Tuning for Language Model ACL 2024
UWB at WASSA-2024 Shared Task 2: Cross-lingual Emotion Detection ACL 2024
Personalized Residuals for Concept-Driven Text-to-Image Generation CVPR 2024
GTP-ViT: Efficient Vision Transformers via Graph-Based Token Propagation WACV 2024
Towards Better Structured Pruning Saliency by Reorganizing Convolution WACV 2024
Torque Based Structured Pruning for Deep Neural Network WACV 2024
LLM-QAT: Data-Free Quantization Aware Training for Large Language Models ACL 2024
Unleashing Channel Potential: Space-Frequency Selection Convolution for SAR Object Detection CVPR 2024
NeuroPrune: A Neuro-inspired Topological Sparse Training Algorithm for Large Language Models ACL 2024
LM-Cocktail: Resilient Tuning of Language Models via Model Merging ACL 2024
Disperse-Then-Merge: Pushing the Limits of Instruction Tuning via Alignment Tax Reduction ACL 2024
Structured Unrestricted-Rank Matrices for Parameter Efficient Finetuning NIPS 2024
IRPruneDet: Efficient Infrared Small Target Detection via Wavelet Structure-Regularized Soft Channel Pruning AAAI 2024
Wino Vidi Vici: Conquering Numerical Instability of 8-Bit Winograd Convolution for Accurate Inference Acceleration on Edge WACV 2024
QTIP: Quantization with Trellises and Incoherence Processing NIPS 2024
UltraSparseBERT: 99% Conditionally Sparse Language Modelling ACL 2024
Reducing the Side-Effects of Oscillations in Training of Quantized YOLO Networks WACV 2024
ResLoRA: Identity Residual Mapping in Low-Rank Adaption ACL 2024
DB-LLM: Accurate Dual-Binarization for Efficient LLMs ACL 2024
BASS: Batched Attention-optimized Speculative Sampling ACL 2024
Value-Based Deep Multi-Agent Reinforcement Learning with Dynamic Sparse Training NIPS 2024
AFLoRA: Adaptive Freezing of Low Rank Adaptation in Parameter Efficient Fine-Tuning of Large Models ACL 2024
IntactKV: Improving Large Language Model Quantization by Keeping Pivot Tokens Intact ACL 2024
Light-PEFT: Lightening Parameter-Efficient Fine-Tuning via Early Pruning ACL 2024