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Machine Learning
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Efficient Computing
6,876 papers
Papers per year
2003: 3
2004: 2
2005: 3
2006: 3
2007: 8
2008: 10
2009: 7
2010: 11
2011: 12
2012: 15
2013: 53
2014: 48
2015: 55
2016: 97
2017: 135
2018: 233
2019: 369
2020: 502
2021: 664
2022: 741
2023: 1039
2024: 1063
2025: 1395
2026: 408
Papers
A Smooth Binary Mechanism for Efficient Private Continual Observation
NIPS 2023
Training Transformers with 4-bit Integers
NIPS 2023
A fast heuristic to optimize time-space tradeoff for large models
NIPS 2023
Coop: Memory is not a Commodity
NIPS 2023
Sparse Parameterization for Epitomic Dataset Distillation
NIPS 2023
Gold-YOLO: Efficient Object Detector via Gather-and-Distribute Mechanism
NIPS 2023
SUBP: Soft Uniform Block Pruning for 1$\times$N Sparse CNNs Multithreading Acceleration
NIPS 2023
Accelerated On-Device Forward Neural Network Training with Module-Wise Descending Asynchronism
NIPS 2023
Optimal Parameter and Neuron Pruning for Out-of-Distribution Detection
NIPS 2023
Scissorhands: Exploiting the Persistence of Importance Hypothesis for LLM KV Cache Compression at Test Time
NIPS 2023
Learning Efficient Surrogate Dynamic Models with Graph Spline Networks
NIPS 2023
Efficient Adaptation of Large Vision Transformer via Adapter Re-Composing
NIPS 2023
Module-wise Training of Neural Networks via the Minimizing Movement Scheme
NIPS 2023
Parallel Spiking Neurons with High Efficiency and Ability to Learn Long-term Dependencies
NIPS 2023
Random-Access Infinite Context Length for Transformers
NIPS 2023
A benchmark of categorical encoders for binary classification
NIPS 2023
Efficient Learning of Linear Graph Neural Networks via Node Subsampling
NIPS 2023
Causes and Effects of Unanticipated Numerical Deviations in Neural Network Inference Frameworks
NIPS 2023
Towards Anytime Classification in Early-Exit Architectures by Enforcing Conditional Monotonicity
NIPS 2023
A Scalable Neural Network for DSIC Affine Maximizer Auction Design
NIPS 2023
QuantSR: Accurate Low-bit Quantization for Efficient Image Super-Resolution
NIPS 2023
PERFOGRAPH: A Numerical Aware Program Graph Representation for Performance Optimization and Program Analysis
NIPS 2023
MixFormerV2: Efficient Fully Transformer Tracking
NIPS 2023
Towards Optimal Caching and Model Selection for Large Model Inference
NIPS 2023
Addressing the speed-accuracy simulation trade-off for adaptive spiking neurons
NIPS 2023
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