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
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Papers
Performance Scaling via Optimal Transport: Enabling Data Selection from Partially Revealed Sources
NeurIPS 2023
Personal Primer Prototype 1: Invitation to Make Your Own Embooked Speech-Based Educational Artifact
Interspeech 2023
PETAL: Physics Emulation Through Averaged Linearizations for Solving Inverse Problems
NeurIPS 2023
Pgx: Hardware-Accelerated Parallel Game Simulators for Reinforcement Learning
NeurIPS 2023
Physically-Plausible Illumination Distribution Estimation
ICCV 2023
PINAT: A Permutation INvariance Augmented Transformer for NAS Predictor
AAAI 2023
Plan-then-Seam: Towards Efficient Table-to-Text Generation
EACL 2023
Plug-and-Play Document Modules for Pre-trained Models
ACL 2023
pNLP-Mixer: an Efficient all-MLP Architecture for Language
ACL 2023
Poly-PC: A Polyhedral Network for Multiple Point Cloud Tasks at Once
CVPR 2023
Poor Man’s Quality Estimation: Predicting Reference-Based MT Metrics Without the Reference
EACL 2023
POTTER: Pooling Attention Transformer for Efficient Human Mesh Recovery
CVPR 2023
Practical Intent-driven Routing Configuration Synthesis
NSDI 2023
Practical Network Acceleration With Tiny Sets
CVPR 2023
PRANC: Pseudo RAndom Networks for Compacting Deep Models
ICCV 2023
Pre-computed memory or on-the-fly encoding? A hybrid approach to retrieval augmentation makes the most of your compute
ICML 2023
Predictive Exit: Prediction of Fine-Grained Early Exits for Computation- and Energy-Efficient Inference
AAAI 2023
Predict+Optimize for Packing and Covering LPs with Unknown Parameters in Constraints
AAAI 2023
PreNAS: Preferred One-Shot Learning Towards Efficient Neural Architecture Search
ICML 2023
PreQuant: A Task-agnostic Quantization Approach for Pre-trained Language Models
ACL 2023
Progressive Ensemble Distillation: Building Ensembles for Efficient Inference
NeurIPS 2023
Propagate and Calibrate: Real-Time Passive Non-Line-of-Sight Tracking
CVPR 2023
Provable Data Subset Selection For Efficient Neural Networks Training
ICML 2023
PruMUX: Augmenting Data Multiplexing with Model Compression
ACL 2023
Pruning Parameterization With Bi-Level Optimization for Efficient Semantic Segmentation on the Edge
CVPR 2023