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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
Measuring Per-Unit Interpretability at Scale Without Humans
NIPS 2024
Nuclear Fusion Diamond Polishing Dataset
NIPS 2024
Block Transformer: Global-to-Local Language Modeling for Fast Inference
NIPS 2024
SS1: Accelerating Inference with Fast and Expressive Sketch Structured Transform
NIPS 2024
FlexPlanner: Flexible 3D Floorplanning via Deep Reinforcement Learning in Hybrid Action Space with Multi-Modality Representation
NIPS 2024
Achieving Domain-Independent Certified Robustness via Knowledge Continuity
NIPS 2024
Matryoshka Query Transformer for Large Vision-Language Models
NIPS 2024
GDeR: Safeguarding Efficiency, Balancing, and Robustness via Prototypical Graph Pruning
NIPS 2024
Gaussian Graph Network: Learning Efficient and Generalizable Gaussian Representations from Multi-view Images
NIPS 2024
SWE-agent: Agent-Computer Interfaces Enable Automated Software Engineering
NIPS 2024
Exploring Token Pruning in Vision State Space Models
NIPS 2024
Practical $0.385$-Approximation for Submodular Maximization Subject to a Cardinality Constraint
NIPS 2024
ContextGS : Compact 3D Gaussian Splatting with Anchor Level Context Model
NIPS 2024
MInference 1.0: Accelerating Pre-filling for Long-Context LLMs via Dynamic Sparse Attention
NIPS 2024
WelQrate: Defining the Gold Standard in Small Molecule Drug Discovery Benchmarking
NIPS 2024
Learning to Merge Tokens via Decoupled Embedding for Efficient Vision Transformers
NIPS 2024
NeuralFuse: Learning to Recover the Accuracy of Access-Limited Neural Network Inference in Low-Voltage Regimes
NIPS 2024
START: A Generalized State Space Model with Saliency-Driven Token-Aware Transformation
NIPS 2024
Inevitable Trade-off between Watermark Strength and Speculative Sampling Efficiency for Language Models
NIPS 2024
FasterDiT: Towards Faster Diffusion Transformers Training without Architecture Modification
NIPS 2024
An Efficient Recipe for Long Context Extension via Middle-Focused Positional Encoding
NIPS 2024
Parametric model reduction of mean-field and stochastic systems via higher-order action matching
NIPS 2024
DeeR-VLA: Dynamic Inference of Multimodal Large Language Models for Efficient Robot Execution
NIPS 2024
LISA: Layerwise Importance Sampling for Memory-Efficient Large Language Model Fine-Tuning
NIPS 2024
Learning on Large Graphs using Intersecting Communities
NIPS 2024
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