Efficient Computing
8,226 papers
Papers per year
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8
11
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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
Representation and Generation of Machine Learning Test Functions
EACL 2024
Repurformer: Transformers for Repurposing-Aware Molecule Generation
ACL 2024
Reservoir Computing for Short High-Dimensional Time Series: an Application to SARS-CoV-2 Hospitalization Forecast
ICML 2024
Reshape and Adapt for Output Quantization (RAOQ): Quantization-aware Training for In-memory Computing Systems
ICML 2024
Reshape Dimensions Network for Speaker Recognition
Interspeech 2024
Residual Dropout: A Simple Approach to Improve Transformer’s Data Efficiency
COLING 2024
Resource-Efficient Neural Networks for Embedded Systems
JMLR 2024
Resource-Efficient Speech Quality Prediction through Quantization Aware Training and Binary Activation Maps
Interspeech 2024
Resource-Efficient Transformer Pruning for Finetuning of Large Models
CVPR 2024
REST: Efficient and Accelerated EEG Seizure Analysis through Residual State Updates
ICML 2024
Retaining Key Information under High Compression Ratios: Query-Guided Compressor for LLMs
ACL 2024
RETAIN: Interactive Tool for Regression Testing Guided LLM Migration
EMNLP 2024
Rethinking Channel Dimensions to Isolate Outliers for Low-bit Weight Quantization of Large Language Models
ICLR 2024
Rethinking Imbalance in Image Super-Resolution for Efficient Inference
NeurIPS 2024
Rethinking Memory and Communication Costs for Efficient Data Parallel Training of Large Language Models
NeurIPS 2024
Rethinking the Up-Sampling Operations in CNN-based Generative Network for Generalizable Deepfake Detection
CVPR 2024
Rethinking Token Reduction for State Space Models
EMNLP 2024
Retraining-Free Model Quantization via One-Shot Weight-Coupling Learning
CVPR 2024
Retrieval Augmented Generation or Long-Context LLMs? A Comprehensive Study and Hybrid Approach
EMNLP 2024
Retrospective for the Dynamic Sensorium Competition for predicting large-scale mouse primary visual cortex activity from videos
NeurIPS 2024
Revealing the Dark Secrets of Extremely Large Kernel ConvNets on Robustness
ICML 2024
Reverie: Low Pass Filter-Based Switch Buffer Sharing for Datacenters with RDMA and TCP Traffic
NSDI 2024
Revisiting Adversarial Training at Scale
CVPR 2024
Revisiting Congestion Control for Lossless Ethernet
NSDI 2024
Revisiting Ensembling in One-Shot Federated Learning
NeurIPS 2024