model compression

3283 papers

Explore in graph

Also known as

MC

Co-occurring keywords

knowledge distillation (3680) large language model (12755) neural network (6616) efficient computing (779) neural network optimization (1293) transfer learning (5442) convolutional neural network (4216) neural network pruning (265) language model (4573) parameter efficiency (415)

Papers

Task-agnostic Distillation of Encoder-Decoder Language Models COLING 2024

UPDP: A Unified Progressive Depth Pruner for CNN and Vision Transformer AAAI 2024

Towards Effective and General Graph Unlearning via Mutual Evolution AAAI 2024

BitsFusion: 1.99 bits Weight Quantization of Diffusion Model NIPS 2024

Agile Multi-Source-Free Domain Adaptation AAAI 2024

MetaMix: Meta-State Precision Searcher for Mixed-Precision Activation Quantization AAAI 2024

Sinkhorn Distance Minimization for Knowledge Distillation COLING 2024

Fast and Controllable Post-training Sparsity: Learning Optimal Sparsity Allocation with Global Constraint in Minutes AAAI 2024

Layer Compression of Deep Networks with Straight Flows AAAI 2024

PV-Tuning: Beyond Straight-Through Estimation for Extreme LLM Compression NIPS 2024

SmartTrim: Adaptive Tokens and Attention Pruning for Efficient Vision-Language Models COLING 2024

Compressing Image-to-Image Translation GANs Using Local Density Structures on Their Learned Manifold AAAI 2024

Harnessing Manycore Processors with Distributed Memory for Accelerated Training of Sparse and Recurrent Models AAAI 2024

Selective Focus: Investigating Semantics Sensitivity in Post-training Quantization for Lane Detection AAAI 2024

Resource Efficient Deep Learning Hardware Watermarks with Signature Alignment AAAI 2024

Over-parameterized Student Model via Tensor Decomposition Boosted Knowledge Distillation NIPS 2024

Make RepVGG Greater Again: A Quantization-Aware Approach AAAI 2024

Influential Exemplar Replay for Incremental Learning in Recommender Systems AAAI 2024

Fine-Tuning Large Language Model Based Explainable Recommendation with Explainable Quality Reward AAAI 2024

Progressive Distillation Based on Masked Generation Feature Method for Knowledge Graph Completion AAAI 2024

Building on Efficient Foundations: Effective Training of LLMs with Structured Feedforward Layers NIPS 2024

Layer-Adaptive State Pruning for Deep State Space Models NIPS 2024

Optimal and Approximate Adaptive Stochastic Quantization NIPS 2024

Some Like It Small: Czech Semantic Embedding Models for Industry Applications AAAI 2024

Federated Learning via Input-Output Collaborative Distillation AAAI 2024