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model compression

3302 papers

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MC

Co-occurring keywords

knowledge distillation (3725) large language model (13587) neural network (6616) efficient computing (781) neural network optimization (1293) transfer learning (5449) convolutional neural network (4226) neural network pruning (265) language model (4599) parameter efficiency (417)

Papers

2DQuant: Low-bit Post-Training Quantization for Image Super-Resolution NIPS 2024
KOALA: Empirical Lessons Toward Memory-Efficient and Fast Diffusion Models for Text-to-Image Synthesis NIPS 2024
Wasserstein Distance Rivals Kullback-Leibler Divergence for Knowledge Distillation NIPS 2024
Progressive Distillation Based on Masked Generation Feature Method for Knowledge Graph Completion AAAI 2024
Fine-Tuning Large Language Model Based Explainable Recommendation with Explainable Quality Reward AAAI 2024
Influential Exemplar Replay for Incremental Learning in Recommender Systems AAAI 2024
Make RepVGG Greater Again: A Quantization-Aware Approach AAAI 2024
Resource Efficient Deep Learning Hardware Watermarks with Signature Alignment AAAI 2024
Selective Focus: Investigating Semantics Sensitivity in Post-training Quantization for Lane Detection AAAI 2024
Harnessing Manycore Processors with Distributed Memory for Accelerated Training of Sparse and Recurrent Models AAAI 2024
Compressing Image-to-Image Translation GANs Using Local Density Structures on Their Learned Manifold AAAI 2024
Layer Compression of Deep Networks with Straight Flows AAAI 2024
Fast and Controllable Post-training Sparsity: Learning Optimal Sparsity Allocation with Global Constraint in Minutes AAAI 2024
MetaMix: Meta-State Precision Searcher for Mixed-Precision Activation Quantization AAAI 2024
Agile Multi-Source-Free Domain Adaptation AAAI 2024
Towards Effective and General Graph Unlearning via Mutual Evolution AAAI 2024
UPDP: A Unified Progressive Depth Pruner for CNN and Vision Transformer AAAI 2024
Cooperative Knowledge Distillation: A Learner Agnostic Approach AAAI 2024
UniADS: Universal Architecture-Distiller Search for Distillation Gap AAAI 2024
REPrune: Channel Pruning via Kernel Representative Selection AAAI 2024
Learning Performance Maximizing Ensembles with Explainability Guarantees AAAI 2024
Integer Is Enough: When Vertical Federated Learning Meets Rounding AAAI 2024
Building Variable-Sized Models via Learngene Pool AAAI 2024
Generative Model-Based Feature Knowledge Distillation for Action Recognition AAAI 2024
Practical Privacy-Preserving MLaaS: When Compressive Sensing Meets Generative Networks AAAI 2024