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
RLtools: A Fast, Portable Deep Reinforcement Learning Library for Continuous Control
JMLR 2024
ENNS: Variable Selection, Regression, Classification, and Deep Neural Network for High-Dimensional Data
JMLR 2024
TopoX: A Suite of Python Packages for Machine Learning on Topological Domains
JMLR 2024
Countering the Communication Bottleneck in Federated Learning: A Highly Efficient Zero-Order Optimization Technique
JMLR 2024
Increasing information for model predictive control with semi-Markov decision processes
L4DC 2024
Neurocache: Efficient Vector Retrieval for Long-range Language Modeling
NAACL 2024
MATHSENSEI: A Tool-Augmented Large Language Model for Mathematical Reasoning
NAACL 2024
OrchestraLLM: Efficient Orchestration of Language Models for Dialogue State Tracking
NAACL 2024
Benchmark Transparency: Measuring the Impact of Data on Evaluation
NAACL 2024
Routing to the Expert: Efficient Reward-guided Ensemble of Large Language Models
NAACL 2024
RST-LoRA: A Discourse-Aware Low-Rank Adaptation for Long Document Abstractive Summarization
NAACL 2024
Efficient Benchmarking (of Language Models)
NAACL 2024
LoRETTA: Low-Rank Economic Tensor-Train Adaptation for Ultra-Low-Parameter Fine-Tuning of Large Language Models
NAACL 2024
DynaMo: Accelerating Language Model Inference with Dynamic Multi-Token Sampling
NAACL 2024
LM-Infinite: Zero-Shot Extreme Length Generalization for Large Language Models
NAACL 2024
AutoLoRA: Automatically Tuning Matrix Ranks in Low-Rank Adaptation Based on Meta Learning
NAACL 2024
AWESOME: GPU Memory-constrained Long Document Summarization using Memory Mechanism and Global Salient Content
NAACL 2024
PEMA: An Offsite-Tunable Plug-in External Memory Adaptation for Language Models
NAACL 2024
SlimFit: Memory-Efficient Fine-Tuning of Transformer-based Models Using Training Dynamics
NAACL 2024
Divergent Token Metrics: Measuring degradation to prune away LLM components – and optimize quantization
NAACL 2024
UICoder: Finetuning Large Language Models to Generate User Interface Code through Automated Feedback
NAACL 2024
Mustango: Toward Controllable Text-to-Music Generation
NAACL 2024
Efficient End-to-End Visual Document Understanding with Rationale Distillation
NAACL 2024
Tied-LoRA: Enhancing parameter efficiency of LoRA with Weight Tying
NAACL 2024
Struc-Bench: Are Large Language Models Good at Generating Complex Structured Tabular Data?
NAACL 2024
<
1
…
108
109
110
…
276
>