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← Optimization & Theory
Machine Learning
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Optimization & Theory
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Neural Network Optimization
3,648 papers
Papers per year
2001: 1
2003: 1
2005: 2
2006: 3
2007: 6
2008: 1
2009: 7
2010: 5
2011: 7
2012: 9
2013: 17
2014: 18
2015: 40
2016: 76
2017: 113
2018: 214
2019: 324
2020: 414
2021: 489
2022: 445
2023: 524
2024: 469
2025: 386
2026: 77
Papers
Reflash Dropout in Image Super-Resolution
CVPR 2022
Long-Term Visual Map Sparsification With Heterogeneous GNN
CVPR 2022
Partial Class Activation Attention for Semantic Segmentation
CVPR 2022
TO-FLOW: Efficient Continuous Normalizing Flows With Temporal Optimization Adjoint With Moving Speed
CVPR 2022
LAS-AT: Adversarial Training With Learnable Attack Strategy
CVPR 2022
Automated Progressive Learning for Efficient Training of Vision Transformers
CVPR 2022
AME: Attention and Memory Enhancement in Hyper-Parameter Optimization
CVPR 2022
Learning To Anticipate Future With Dynamic Context Removal
CVPR 2022
CHEX: CHannel EXploration for CNN Model Compression
CVPR 2022
Topology-Preserving Shape Reconstruction and Registration via Neural Diffeomorphic Flow
CVPR 2022
Towards Robust and Reproducible Active Learning Using Neural Networks
CVPR 2022
Global Convergence of MAML and Theory-Inspired Neural Architecture Search for Few-Shot Learning
CVPR 2022
Training Quantised Neural Networks With STE Variants: The Additive Noise Annealing Algorithm
CVPR 2022
Neural Architecture Search With Representation Mutual Information
CVPR 2022
Deep Equilibrium Optical Flow Estimation
CVPR 2022
Learning To Learn by Jointly Optimizing Neural Architecture and Weights
CVPR 2022
Pooling Revisited: Your Receptive Field Is Suboptimal
CVPR 2022
Patch Slimming for Efficient Vision Transformers
CVPR 2022
It's All in the Teacher: Zero-Shot Quantization Brought Closer to the Teacher
CVPR 2022
b-DARTS: Beta-Decay Regularization for Differentiable Architecture Search
CVPR 2022
Exploring the Equivalence of Siamese Self-Supervised Learning via a Unified Gradient Framework
CVPR 2022
PokeBNN: A Binary Pursuit of Lightweight Accuracy
CVPR 2022
The Importance of Being Parameters: An Intra-Distillation Method for Serious Gains
EMNLP 2022
ELMER: A Non-Autoregressive Pre-trained Language Model for Efficient and Effective Text Generation
EMNLP 2022
GA-SAM: Gradient-Strength based Adaptive Sharpness-Aware Minimization for Improved Generalization
EMNLP 2022
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