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model compression

3283 papers

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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

UniADS: Universal Architecture-Distiller Search for Distillation Gap AAAI 2024
Cooperative Knowledge Distillation: A Learner Agnostic Approach AAAI 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
Structured Optimal Brain Pruning for Large Language Models EMNLP 2024
Agile Multi-Source-Free Domain Adaptation AAAI 2024
MetaMix: Meta-State Precision Searcher for Mixed-Precision Activation Quantization AAAI 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
CrossKD: Cross-Head Knowledge Distillation for Object Detection CVPR 2024
The Ups and Downs of Large Language Model Inference with Vocabulary Trimming by Language Heuristics NAACL 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
Knowledge Distillation vs. Pretraining from Scratch under a Fixed (Computation) Budget NAACL 2024
Selective Focus: Investigating Semantics Sensitivity in Post-training Quantization for Lane Detection AAAI 2024
Dynamic Adapter Meets Prompt Tuning: Parameter-Efficient Transfer Learning for Point Cloud Analysis CVPR 2024
Resource Efficient Deep Learning Hardware Watermarks with Signature Alignment AAAI 2024
Over-parameterized Student Model via Tensor Decomposition Boosted Knowledge Distillation NIPS 2024
How Far Can We Compress Instant-NGP-Based NeRF? CVPR 2024
Scalable Efficient Training of Large Language Models with Low-dimensional Projected Attention EMNLP 2024
PV-Tuning: Beyond Straight-Through Estimation for Extreme LLM Compression NIPS 2024
Make RepVGG Greater Again: A Quantization-Aware Approach AAAI 2024
Retaining Key Information under High Compression Ratios: Query-Guided Compressor for LLMs ACL 2024
Influential Exemplar Replay for Incremental Learning in Recommender Systems AAAI 2024