conftrace
_
Papers
Trends
Conferences
Explore
Authors
Papers
Trends
Conferences
Explore
Authors
Topics
Keywords
Achievements
← Application Areas
Machine Learning
›
Application Areas
›
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
No Train No Gain: Revisiting Efficient Training Algorithms For Transformer-based Language Models
NIPS 2023
A Deep Instance Generative Framework for MILP Solvers Under Limited Data Availability
NIPS 2023
Making Scalable Meta Learning Practical
NIPS 2023
VPP: Efficient Conditional 3D Generation via Voxel-Point Progressive Representation
NIPS 2023
Adapting Neural Link Predictors for Data-Efficient Complex Query Answering
NIPS 2023
DataComp: In search of the next generation of multimodal datasets
NIPS 2023
OpenDataVal: a Unified Benchmark for Data Valuation
NIPS 2023
Similarity, Compression and Local Steps: Three Pillars of Efficient Communications for Distributed Variational Inequalities
NIPS 2023
SpecTr: Fast Speculative Decoding via Optimal Transport
NIPS 2023
LithoBench: Benchmarking AI Computational Lithography for Semiconductor Manufacturing
NIPS 2023
AiluRus: A Scalable ViT Framework for Dense Prediction
NIPS 2023
Monitor-Guided Decoding of Code LMs with Static Analysis of Repository Context
NIPS 2023
ShiftAddViT: Mixture of Multiplication Primitives Towards Efficient Vision Transformer
NIPS 2023
Knowledge Distillation for High Dimensional Search Index
NIPS 2023
Intriguing Properties of Quantization at Scale
NIPS 2023
H2O: Heavy-Hitter Oracle for Efficient Generative Inference of Large Language Models
NIPS 2023
Aggregating Capacity in FL through Successive Layer Training for Computationally-Constrained Devices
NIPS 2023
Scaling Up Differentially Private LASSO Regularized Logistic Regression via Faster Frank-Wolfe Iterations
NIPS 2023
Selectivity Drives Productivity: Efficient Dataset Pruning for Enhanced Transfer Learning
NIPS 2023
StreamNet: Memory-Efficient Streaming Tiny Deep Learning Inference on the Microcontroller
NIPS 2023
KAKURENBO: Adaptively Hiding Samples in Deep Neural Network Training
NIPS 2023
H3T: Efficient Integration of Memory Optimization and Parallelism for Large-scale Transformer Training
NIPS 2023
Binarized Spectral Compressive Imaging
NIPS 2023
The Emergence of Essential Sparsity in Large Pre-trained Models: The Weights that Matter
NIPS 2023
Speculative Decoding with Big Little Decoder
NIPS 2023
<
1
…
117
118
119
…
276
>