Efficient Computing
8,226 papers
Papers per year
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8
11
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11
12
15
55
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57
98
136
252
379
535
681
794
1,106
1,519
2,057
432
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Papers
PoNet: Pooling Network for Efficient Token Mixing in Long Sequences
ICLR 2022
Pooling Revisited: Your Receptive Field Is Suboptimal
CVPR 2022
PowerTCP: Pushing the Performance Limits of Datacenter Networks
NSDI 2022
Predicting Attention Sparsity in Transformers
ACL 2022
Predicting label distribution improves non-intrusive speech quality estimation
Interspeech 2022
Predictive Maintenance for General Aviation Using Convolutional Transformers
AAAI 2022
Prior Gradient Mask Guided Pruning-Aware Fine-Tuning
AAAI 2022
Prioritized Training on Points that are Learnable, Worth Learning, and not yet Learnt
ICML 2022
Privacy-aware compression for federated data analysis
UAI 2022
PrivateSNN: Privacy-Preserving Spiking Neural Networks
AAAI 2022
Probing Structured Pruning on Multilingual Pre-trained Models: Settings, Algorithms, and Efficiency
ACL 2022
Processing Long Legal Documents with Pre-trained Transformers: Modding LegalBERT and Longformer
EMNLP 2022
ProgFed: Effective, Communication, and Computation Efficient Federated Learning by Progressive Training
ICML 2022
Progressive Automatic Design of Search Space for One-Shot Neural Architecture Search
WACV 2022
Prompt Compression and Contrastive Conditioning for Controllability and Toxicity Reduction in Language Models
EMNLP 2022
Prompt-free and Efficient Few-shot Learning with Language Models
ACL 2022
Prompting to Distill: Boosting Data-Free Knowledge Distillation via Reinforced Prompt
IJCAI 2022
Prospect Pruning: Finding Trainable Weights at Initialization using Meta-Gradients
ICLR 2022
ProtoAI: Model-Informed Prototyping for AI-Powered Interfaces (Extended Abstract)
IJCAI 2022
Proximal and Federated Random Reshuffling
ICML 2022
Proximal Exploration for Model-guided Protein Sequence Design
ICML 2022
Prune and Tune Ensembles: Low-Cost Ensemble Learning with Sparse Independent Subnetworks
AAAI 2022
Pruned RNN-T for fast, memory-efficient ASR training
Interspeech 2022
Pruning Neural Networks via Coresets and Convex Geometry: Towards No Assumptions
NeurIPS 2022
Pruning’s Effect on Generalization Through the Lens of Training and Regularization
NeurIPS 2022