Efficient Computing
8,226 papers
Papers per year
3
2
3
3
8
11
7
11
12
15
55
50
57
98
136
252
379
535
681
794
1,106
1,519
2,057
432
'5
'10
'15
'20
'25
Papers
HyPiDecoder: Hybrid Pixel Decoder for Efficient Segmentation and Detection
ICCV 2025
IAM: Efficient Inference through Attention Mapping between Different-scale LLMs
ACL 2025
ICP: Immediate Compensation Pruning for Mid-to-high Sparsity
CVPR 2025
IFORMER: INTEGRATING CONVNET AND TRANSFORMER FOR MOBILE APPLICATION
ICLR 2025
IIET: Efficient Numerical Transformer via Implicit Iterative Euler Method
EMNLP 2025
Image and Video Tokenization with Binary Spherical Quantization
ICLR 2025
Image Embedding Sampling Method for Diverse Captioning
EMNLP 2025
Image Over Text: Transforming Formula Recognition Evaluation with Character Detection Matching
CVPR 2025
ImagePiece: Content-aware Re-tokenization for Efficient Image Recognition
AAAI 2025
ImageTra: Real-Time Translation for Texts in Image and Video
IJCNLP 2025
IM-LUT: Interpolation Mixing Look-Up Tables for Image Super-Resolution
ICCV 2025
IMPACT: Iterative Mask-based Parallel Decoding for Text-to-Audio Generation with Diffusion Modeling
ICML 2025
ImPart: Importance-Aware Delta-Sparsification for Improved Model Compression and Merging in LLMs
ACL 2025
Importance-Based Token Merging for Efficient Image and Video Generation
ICCV 2025
Improved Coresets for Vertical Federated Learning: Regularized Linear and Logistic Regressions
ICML 2025
Improving Accuracy and Generalization for Efficient Visual Tracking
WACV 2025
Improving Continual Learning Performance and Efficiency with Auxiliary Classifiers
ICML 2025
Improving Data Efficiency via Curating LLM-Driven Rating Systems
ICLR 2025
Improving Efficiency in Large Language Models via Extendable Block Floating Point Representation
ACL 2025
Improving LLM Video Understanding with 16 Frames Per Second
ICML 2025
Improving Shift Invariance in Convolutional Neural Networks with Translation Invariant Polyphase Sampling
WACV 2025
Improving the Efficiency of Visually Augmented Language Models
COLING 2025
Improving the Scaling Laws of Synthetic Data with Deliberate Practice
ICML 2025
Improving the Sparse Structure Learning of Spiking Neural Networks from the View of Compression Efficiency
ICLR 2025
In Benchmarks We Trust ... Or Not?
EMNLP 2025