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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
Efficient Test-Time Model Adaptation without Forgetting
ICML 2022
Zero-shot AutoML with Pretrained Models
ICML 2022
POET: Training Neural Networks on Tiny Devices with Integrated Rematerialization and Paging
ICML 2022
Adaptive Second Order Coresets for Data-efficient Machine Learning
ICML 2022
Winning the Lottery Ahead of Time: Efficient Early Network Pruning
ICML 2022
DeepSpeed-MoE: Advancing Mixture-of-Experts Inference and Training to Power Next-Generation AI Scale
ICML 2022
Proximal Exploration for Model-guided Protein Sequence Design
ICML 2022
FedNL: Making Newton-Type Methods Applicable to Federated Learning
ICML 2022
Off-Policy Evaluation for Large Action Spaces via Embeddings
ICML 2022
DNS: Determinantal Point Process Based Neural Network Sampler for Ensemble Reinforcement Learning
ICML 2022
Scalable Computation of Causal Bounds
ICML 2022
Lightweight Projective Derivative Codes for Compressed Asynchronous Gradient Descent
ICML 2022
Accelerating Bayesian Optimization for Biological Sequence Design with Denoising Autoencoders
ICML 2022
LCANets: Lateral Competition Improves Robustness Against Corruption and Attack
ICML 2022
Design-Bench: Benchmarks for Data-Driven Offline Model-Based Optimization
ICML 2022
EDEN: Communication-Efficient and Robust Distributed Mean Estimation for Federated Learning
ICML 2022
Fast Lossless Neural Compression with Integer-Only Discrete Flows
ICML 2022
ProgFed: Effective, Communication, and Computation Efficient Federated Learning by Progressive Training
ICML 2022
BabelTower: Learning to Auto-parallelized Program Translation
ICML 2022
Leverage Score Sampling for Tensor Product Matrices in Input Sparsity Time
ICML 2022
MemSR: Training Memory-efficient Lightweight Model for Image Super-Resolution
ICML 2022
Optimally Controllable Perceptual Lossy Compression
ICML 2022
NLP From Scratch Without Large-Scale Pretraining: A Simple and Efficient Framework
ICML 2022
Be Like Water: Adaptive Floating Point for Machine Learning
ICML 2022
QSFL: A Two-Level Uplink Communication Optimization Framework for Federated Learning
ICML 2022
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