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
Birder: Communication-Efficient 1-bit Adaptive Optimizer for Practical Distributed DNN Training
NIPS 2023
MIMONets: Multiple-Input-Multiple-Output Neural Networks Exploiting Computation in Superposition
NIPS 2023
RDumb: A simple approach that questions our progress in continual test-time adaptation
NIPS 2023
Recaptured Raw Screen Image and Video Demoiréing via Channel and Spatial Modulations
NIPS 2023
Understanding Neural Network Binarization with Forward and Backward Proximal Quantizers
NIPS 2023
DELIFFAS: Deformable Light Fields for Fast Avatar Synthesis
NIPS 2023
Parameter and Computation Efficient Transfer Learning for Vision-Language Pre-trained Models
NIPS 2023
Spiking PointNet: Spiking Neural Networks for Point Clouds
NIPS 2023
Slimmed Asymmetrical Contrastive Learning and Cross Distillation for Lightweight Model Training
NIPS 2023
BiMatting: Efficient Video Matting via Binarization
NIPS 2023
Progressive Ensemble Distillation: Building Ensembles for Efficient Inference
NIPS 2023
CoLA: Exploiting Compositional Structure for Automatic and Efficient Numerical Linear Algebra
NIPS 2023
REx: Data-Free Residual Quantization Error Expansion
NIPS 2023
Pgx: Hardware-Accelerated Parallel Game Simulators for Reinforcement Learning
NIPS 2023
PDP: Parameter-free Differentiable Pruning is All You Need
NIPS 2023
ContinuAR: Continuous Autoregression For Infinite-Fidelity Fusion
NIPS 2023
Domain Agnostic Fourier Neural Operators
NIPS 2023
MathNAS: If Blocks Have a Role in Mathematical Architecture Design
NIPS 2023
Scaling Laws for Hyperparameter Optimization
NIPS 2023
DeepPCR: Parallelizing Sequential Operations in Neural Networks
NIPS 2023
Bypass Exponential Time Preprocessing: Fast Neural Network Training via Weight-Data Correlation Preprocessing
NIPS 2023
On the choice of Perception Loss Function for Learned Video Compression
NIPS 2023
Temporal Dynamic Quantization for Diffusion Models
NIPS 2023
PETAL: Physics Emulation Through Averaged Linearizations for Solving Inverse Problems
NIPS 2023
An Inverse Scaling Law for CLIP Training
NIPS 2023
<
1
…
118
119
120
…
276
>