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Model Compression

1503 directly classified papers

Papers per year

Papers

HashReID: Dynamic Network With Binary Codes for Efficient Person Re-Identification WACV 2024
Distilling Autoregressive Models to Obtain High-Performance Non-autoregressive Solvers for Vehicle Routing Problems with Faster Inference Speed AAAI 2024
Pipeline Parallelism with Controllable Memory NIPS 2024
Gold Panning in Vocabulary: An Adaptive Method for Vocabulary Expansion of Domain-Specific LLMs EMNLP 2024
Teacher as a Lenient Expert: Teacher-Agnostic Data-Free Knowledge Distillation AAAI 2024
Cluster-Learngene: Inheriting Adaptive Clusters for Vision Transformers NIPS 2024
Self-Supervised Quantization-Aware Knowledge Distillation AISTATS 2024
SOI: Scaling Down Computational Complexity by Estimating Partial States of the Model NIPS 2024
SIRIUS : Contexual Sparisty with Correction for Efficient LLMs NIPS 2024
BitsFusion: 1.99 bits Weight Quantization of Diffusion Model NIPS 2024
VMT-Adapter: Parameter-Efficient Transfer Learning for Multi-Task Dense Scene Understanding AAAI 2024
FALCON: FLOP-Aware Combinatorial Optimization for Neural Network Pruning AISTATS 2024
Torque Based Structured Pruning for Deep Neural Network WACV 2024
Integer Is Enough: When Vertical Federated Learning Meets Rounding AAAI 2024
PTMQ: Post-training Multi-Bit Quantization of Neural Networks AAAI 2024
Exploiting Label Skews in Federated Learning with Model Concatenation AAAI 2024
On-Demand Federated Learning for Arbitrary Target Class Distributions AISTATS 2024
DTL: Disentangled Transfer Learning for Visual Recognition AAAI 2024
Wino Vidi Vici: Conquering Numerical Instability of 8-Bit Winograd Convolution for Accurate Inference Acceleration on Edge WACV 2024
M3D: Dataset Condensation by Minimizing Maximum Mean Discrepancy AAAI 2024
Learning Performance Maximizing Ensembles with Explainability Guarantees AAAI 2024
Leveraging Normalization Layer in Adapters with Progressive Learning and Adaptive Distillation for Cross-Domain Few-Shot Learning AAAI 2024
TroL: Traversal of Layers for Large Language and Vision Models EMNLP 2024
VPTQ: Extreme Low-bit Vector Post-Training Quantization for Large Language Models EMNLP 2024
CItruS: Chunked Instruction-aware State Eviction for Long Sequence Modeling EMNLP 2024