Optimization & Theory
7,804 papers (27 classified directly here)
Subtopics · a paper can sit in several, so these overlap
Papers per year
8
7
12
6
16
9
25
48
45
60
94
150
295
436
675
803
1,010
944
1,346
1,352
463
'10
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'25
Papers (including subtopics)
Where do Models go Wrong? Parameter-Space Saliency Maps for Explainability
NeurIPS 2022
Whitening Convergence Rate of Coupling-based Normalizing Flows
NeurIPS 2022
Who Says Elephants Can’t Run: Bringing Large Scale MoE Models into Cloud Scale Production
EMNLP 2022
Why neural networks find simple solutions: The many regularizers of geometric complexity
NeurIPS 2022
Why Robust Generalization in Deep Learning is Difficult: Perspective of Expressive Power
NeurIPS 2022
Width is Less Important than Depth in ReLU Neural Networks
COLT 2022
Winning the Lottery Ahead of Time: Efficient Early Network Pruning
ICML 2022
XDoc: Unified Pre-training for Cross-Format Document Understanding
EMNLP 2022
XPrompt: Exploring the Extreme of Prompt Tuning
EMNLP 2022
Your Transformer May Not be as Powerful as You Expect
NeurIPS 2022
ZARTS: On Zero-order Optimization for Neural Architecture Search
NeurIPS 2022
ZeroFL: Efficient On-Device Training for Federated Learning with Local Sparsity
ICLR 2022
Zero-Shot Dynamic Quantization for Transformer Inference
EMNLP 2022
Zero Stability Well Predicts Performance of Convolutional Neural Networks
AAAI 2022
Zonotope Domains for Lagrangian Neural Network Verification
NeurIPS 2022
α-IoU: A Family of Power Intersection over Union Losses for Bounding Box Regression
NeurIPS 2021
1-bit Adam: Communication Efficient Large-Scale Training with Adam’s Convergence Speed
ICML 2021
2D or not 2D? Adaptive 3D Convolution Selection for Efficient Video Recognition
CVPR 2021
3D CNNs With Adaptive Temporal Feature Resolutions
CVPR 2021
Accelerate CNNs from Three Dimensions: A Comprehensive Pruning Framework
ICML 2021
Accelerating Continuous Normalizing Flow with Trajectory Polynomial Regularization
AAAI 2021
Accelerating Ill-Conditioned Low-Rank Matrix Estimation via Scaled Gradient Descent
JMLR 2021
Accelerating Neural Machine Translation with Partial Word Embedding Compression
AAAI 2021
Acceleration via Fractal Learning Rate Schedules
ICML 2021
Accurate Post Training Quantization With Small Calibration Sets
ICML 2021