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
EffiLearner: Enhancing Efficiency of Generated Code via Self-Optimization
NIPS 2024
Personalized Adapter for Large Meteorology Model on Devices: Towards Weather Foundation Models
NIPS 2024
Beyond Concept Bottleneck Models: How to Make Black Boxes Intervenable?
NIPS 2024
MagR: Weight Magnitude Reduction for Enhancing Post-Training Quantization
NIPS 2024
StreamingDialogue: Prolonged Dialogue Learning via Long Context Compression with Minimal Losses
NIPS 2024
Cascade Speculative Drafting for Even Faster LLM Inference
NIPS 2024
SpaFL: Communication-Efficient Federated Learning With Sparse Models And Low Computational Overhead
NIPS 2024
Reducing Transformer Key-Value Cache Size with Cross-Layer Attention
NIPS 2024
LLMCBench: Benchmarking Large Language Model Compression for Efficient Deployment
NIPS 2024
FastSurvival: Hidden Computational Blessings in Training Cox Proportional Hazards Models
NIPS 2024
DuQuant: Distributing Outliers via Dual Transformation Makes Stronger Quantized LLMs
NIPS 2024
Compressing Large Language Models using Low Rank and Low Precision Decomposition
NIPS 2024
Low Precision Local Training is Enough for Federated Learning
NIPS 2024
Immiscible Diffusion: Accelerating Diffusion Training with Noise Assignment
NIPS 2024
Efficient Contextual LLM Cascades through Budget-Constrained Policy Learning
NIPS 2024
COSMIC: Compress Satellite Image Efficiently via Diffusion Compensation
NIPS 2024
Speculative Decoding with CTC-based Draft Model for LLM Inference Acceleration
NIPS 2024
QuanTA: Efficient High-Rank Fine-Tuning of LLMs with Quantum-Informed Tensor Adaptation
NIPS 2024
Multi-Head Mixture-of-Experts
NIPS 2024
Optimal and Approximate Adaptive Stochastic Quantization
NIPS 2024
Accelerating Augmentation Invariance Pretraining
NIPS 2024
Stepping Forward on the Last Mile
NIPS 2024
Fundamental Limits of Prompt Compression: A Rate-Distortion Framework for Black-Box Language Models
NIPS 2024
AsyncDiff: Parallelizing Diffusion Models by Asynchronous Denoising
NIPS 2024
Real-time Core-Periphery Guided ViT with Smart Data Layout Selection on Mobile Devices
NIPS 2024
<
1
…
79
80
81
…
276
>