Efficient Computing
1,780 papers
Papers per year
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285
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Papers
TA-MoE: Topology-Aware Large Scale Mixture-of-Expert Training
NeurIPS 2022
Tempo: Accelerating Transformer-Based Model Training through Memory Footprint Reduction
NeurIPS 2022
The RoyalFlush System for the WMT 2022 Efficiency Task
EMNLP 2022
Token Dropping for Efficient BERT Pretraining
ACL 2022
Topologically-Aware Deformation Fields for Single-View 3D Reconstruction
CVPR 2022
Toward Low-Cost End-to-End Spoken Language Understanding
Interspeech 2022
Toward Robust Spiking Neural Network Against Adversarial Perturbation
NeurIPS 2022
Towards Efficient and Scalable Sharpness-Aware Minimization
CVPR 2022
Towards Fully Sparse Training: Information Restoration with Spatial Similarity
AAAI 2022
Towards Light-Weight and Real-Time Line Segment Detection
AAAI 2022
Towards Training Billion Parameter Graph Neural Networks for Atomic Simulations
ICLR 2022
Training Up to 50 Class ML Models on 3 $ IoT Hardware via Optimizing One-vs-One Algorithm (Student Abstract)
AAAI 2022
Transformer Quality in Linear Time
ICML 2022
Transformers meet Stochastic Block Models: Attention with Data-Adaptive Sparsity and Cost
NeurIPS 2022
Transkimmer: Transformer Learns to Layer-wise Skim
ACL 2022
TREC: Transient Redundancy Elimination-based Convolution
NeurIPS 2022
TRIPS: Efficient Vision-and-Language Pre-training with Text-Relevant Image Patch Selection
EMNLP 2022
TVConv: Efficient Translation Variant Convolution for Layout-Aware Visual Processing
CVPR 2022
Understanding and Improving Knowledge Distillation for Quantization Aware Training of Large Transformer Encoders
EMNLP 2022
Uniform Subdivision of Omnidirectional Camera Space for Efficient Spherical Stereo Matching
CVPR 2022
ViewFool: Evaluating the Robustness of Visual Recognition to Adversarial Viewpoints
NeurIPS 2022
Wavelet Feature Maps Compression for Image-to-Image CNNs
NeurIPS 2022
When Chosen Wisely, More Data Is What You Need: A Universal Sample-Efficient Strategy For Data Augmentation
ACL 2022
Who Says Elephants Can’t Run: Bringing Large Scale MoE Models into Cloud Scale Production
EMNLP 2022
ZeroFL: Efficient On-Device Training for Federated Learning with Local Sparsity
ICLR 2022