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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
SustainGym: Reinforcement Learning Environments for Sustainable Energy Systems
NIPS 2023
AndroidInTheWild: A Large-Scale Dataset For Android Device Control
NIPS 2023
Fast Attention Over Long Sequences With Dynamic Sparse Flash Attention
NIPS 2023
Pairwise GUI Dataset Construction Between Android Phones and Tablets
NIPS 2023
Performance Scaling via Optimal Transport: Enabling Data Selection from Partially Revealed Sources
NIPS 2023
Unleashing the Full Potential of Product Quantization for Large-Scale Image Retrieval
NIPS 2023
Fed-FA: Theoretically Modeling Client Data Divergence for Federated Language Backdoor Defense
NIPS 2023
One Less Reason for Filter Pruning: Gaining Free Adversarial Robustness with Structured Grouped Kernel Pruning
NIPS 2023
FETV: A Benchmark for Fine-Grained Evaluation of Open-Domain Text-to-Video Generation
NIPS 2023
Pruning vs Quantization: Which is Better?
NIPS 2023
EvoFed: Leveraging Evolutionary Strategies for Communication-Efficient Federated Learning
NIPS 2023
Fast Attention Requires Bounded Entries
NIPS 2023
SEENN: Towards Temporal Spiking Early Exit Neural Networks
NIPS 2023
ATMAN: Understanding Transformer Predictions Through Memory Efficient Attention Manipulation
NIPS 2023
Spike-driven Transformer
NIPS 2023
SGFormer: Simplifying and Empowering Transformers for Large-Graph Representations
NIPS 2023
SUPA: A Lightweight Diagnostic Simulator for Machine Learning in Particle Physics
NIPS 2023
Cheaply Estimating Inference Efficiency Metrics for Autoregressive Transformer Models
NIPS 2023
Sequential Subset Matching for Dataset Distillation
NIPS 2023
Towards Better Dynamic Graph Learning: New Architecture and Unified Library
NIPS 2023
DESSERT: An Efficient Algorithm for Vector Set Search with Vector Set Queries
NIPS 2023
Dynamic Sparsity Is Channel-Level Sparsity Learner
NIPS 2023
ASPEN: Breaking Operator Barriers for Efficient Parallelization of Deep Neural Networks
NIPS 2023
MG-ViT: A Multi-Granularity Method for Compact and Efficient Vision Transformers
NIPS 2023
xTrimoGene: An Efficient and Scalable Representation Learner for Single-Cell RNA-Seq Data
NIPS 2023
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