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
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Papers
Exploiting Network Compressibility and Topology in Zero-Cost NAS
AutoML 2023
Exploration of Efficient End-to-End ASR using Discretized Input from Self-Supervised Learning
Interspeech 2023
Exploring the Relative Value of Collaborative Optimisation Pathways (Student Abstract)
AAAI 2023
Exploring Transformers as Compact, Data-efficient Language Models
CoNLL 2023
Exploring Video Quality Assessment on User Generated Contents from Aesthetic and Technical Perspectives
ICCV 2023
Extremely Low Bit Quantization for Mobile Speaker Verification Systems Under 1MB Memory
Interspeech 2023
eZNS: An Elastic Zoned Namespace for Commodity ZNS SSDs
OSDI 2023
FAA: Fine-grained Attention Alignment for Cascade Document Ranking
ACL 2023
Facto-CNN: Memory-Efficient CNN Training with Low-rank Tensor Factorization and Lossy Tensor Compression
ACML 2023
Fast and Accurate Binary Neural Networks Based on Depth-Width Reshaping
AAAI 2023
Fast and Accurate: Video Enhancement Using Sparse Depth
WACV 2023
Fast and Efficient Multilingual Self-Supervised Pre-training for Low-Resource Speech Recognition
Interspeech 2023
Fast and Robust Early-Exiting Framework for Autoregressive Language Models with Synchronized Parallel Decoding
EMNLP 2023
Fast Attention Over Long Sequences With Dynamic Sparse Flash Attention
NeurIPS 2023
Fast Attention Requires Bounded Entries
NeurIPS 2023
Fast Fluid Simulation via Dynamic Multi-Scale Gridding
AAAI 2023
Fast Online Video Super-Resolution With Deformable Attention Pyramid
WACV 2023
Fast, Sample-Efficient, Affine-Invariant Private Mean and Covariance Estimation for Subgaussian Distributions
COLT 2023
Fast-StrucTexT: An Efficient Hourglass Transformer with Modality-guided Dynamic Token Merge for Document Understanding
IJCAI 2023
Fcaformer: Forward Cross Attention in Hybrid Vision Transformer
ICCV 2023
FDViT: Improve the Hierarchical Architecture of Vision Transformer
ICCV 2023
Feature Staleness Aware Incremental Learning for CTR Prediction
IJCAI 2023
Fed-CBS: A Heterogeneity-Aware Client Sampling Mechanism for Federated Learning via Class-Imbalance Reduction
ICML 2023
Federated Generative Model on Multi-Source Heterogeneous Data in IoT
AAAI 2023
Federated Learning of Large Language Models with Parameter-Efficient Prompt Tuning and Adaptive Optimization
EMNLP 2023