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Machine Learning
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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
Towards Fully Sparse Training: Information Restoration with Spatial Similarity
AAAI 2022
Evo-ViT: Slow-Fast Token Evolution for Dynamic Vision Transformer
AAAI 2022
MobileFaceSwap: A Lightweight Framework for Video Face Swapping
AAAI 2022
Width & Depth Pruning for Vision Transformers
AAAI 2022
SCSNet: An Efficient Paradigm for Learning Simultaneously Image Colorization and Super-resolution
AAAI 2022
SmartIdx: Reducing Communication Cost in Federated Learning by Exploiting the CNNs Structures
AAAI 2022
Anisotropic Additive Quantization for Fast Inner Product Search
AAAI 2022
EtinyNet: Extremely Tiny Network for TinyML
AAAI 2022
Random vs. Best-First: Impact of Sampling Strategies on Decision Making in Model-Based Diagnosis
AAAI 2022
Federated Dynamic Sparse Training: Computing Less, Communicating Less, Yet Learning Better
AAAI 2022
Input-Specific Robustness Certification for Randomized Smoothing
AAAI 2022
Up to 100x Faster Data-Free Knowledge Distillation
AAAI 2022
Improved Gradient-Based Adversarial Attacks for Quantized Networks
AAAI 2022
Fast Monte-Carlo Approximation of the Attention Mechanism
AAAI 2022
Optimization for Classical Machine Learning Problems on the GPU
AAAI 2022
DISTREAL: Distributed Resource-Aware Learning in Heterogeneous Systems
AAAI 2022
Scaling Up Influence Functions
AAAI 2022
Conditional Generative Model Based Predicate-Aware Query Approximation
AAAI 2022
ApproxIFER: A Model-Agnostic Approach to Resilient and Robust Prediction Serving Systems
AAAI 2022
Sample-Efficient Reinforcement Learning via Conservative Model-Based Actor-Critic
AAAI 2022
Prune and Tune Ensembles: Low-Cost Ensemble Learning with Sparse Independent Subnetworks
AAAI 2022
Go Wider Instead of Deeper
AAAI 2022
BATUDE: Budget-Aware Neural Network Compression Based on Tucker Decomposition
AAAI 2022
MIA-Former: Efficient and Robust Vision Transformers via Multi-Grained Input-Adaptation
AAAI 2022
Anytime Multi-Agent Path Finding via Machine Learning-Guided Large Neighborhood Search
AAAI 2022
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