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Methodology
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Deep Learning
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Efficient Computing
1253 directly classified papers
Papers per year
2008: 1
2009: 1
2012: 2
2013: 2
2014: 10
2015: 6
2016: 14
2017: 19
2018: 59
2019: 71
2020: 113
2021: 128
2022: 162
2023: 159
2024: 225
2025: 281
Papers
Time- Memory- and Parameter-Efficient Visual Adaptation
CVPR 2024
PikeLPN: Mitigating Overlooked Inefficiencies of Low-Precision Neural Networks
CVPR 2024
vid-TLDR: Training Free Token Merging for Light-weight Video Transformer
CVPR 2024
Low-Rank Approximation for Sparse Attention in Multi-Modal LLMs
CVPR 2024
AsyncDiff: Parallelizing Diffusion Models by Asynchronous Denoising
NIPS 2024
CPGA: Coding Priors-Guided Aggregation Network for Compressed Video Quality Enhancement
CVPR 2024
QUIK: Towards End-to-end 4-Bit Inference on Generative Large Language Models
EMNLP 2024
BA-SAM: Scalable Bias-Mode Attention Mask for Segment Anything Model
CVPR 2024
State Space Models for Event Cameras
CVPR 2024
Optical Diffusion Models for Image Generation
NIPS 2024
Empowering Resampling Operation for Ultra-High-Definition Image Enhancement with Model-Aware Guidance
CVPR 2024
Resource-Efficient Transformer Pruning for Finetuning of Large Models
CVPR 2024
Order of Magnitude Speedups for LLM Membership Inference
EMNLP 2024
Improving Training Efficiency of Diffusion Models via Multi-Stage Framework and Tailored Multi-Decoder Architecture
CVPR 2024
DeepCache: Accelerating Diffusion Models for Free
CVPR 2024
Point Transformer V3: Simpler Faster Stronger
CVPR 2024
Look-Up Table Compression for Efficient Image Restoration
CVPR 2024
DistriFusion: Distributed Parallel Inference for High-Resolution Diffusion Models
CVPR 2024
You Only Need Less Attention at Each Stage in Vision Transformers
CVPR 2024
Salience DETR: Enhancing Detection Transformer with Hierarchical Salience Filtering Refinement
CVPR 2024
All Rivers Run to the Sea: Private Learning with Asymmetric Flows
CVPR 2024
JointSQ: Joint Sparsification-Quantization for Distributed Learning
CVPR 2024
CItruS: Chunked Instruction-aware State Eviction for Long Sequence Modeling
EMNLP 2024
VPTQ: Extreme Low-bit Vector Post-Training Quantization for Large Language Models
EMNLP 2024
Adaptive Depth Networks with Skippable Sub-Paths
NIPS 2024
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