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
'15
'20
'25
Papers (including subtopics)
On the Explicit Role of Initialization on the Convergence and Implicit Bias of Overparametrized Linear Networks
ICML 2021
On the Frequency Bias of Generative Models
NeurIPS 2021
On the Generalization Power of Overfitted Two-Layer Neural Tangent Kernel Models
ICML 2021
On the Implicit Bias of Initialization Shape: Beyond Infinitesimal Mirror Descent
ICML 2021
On the Limits of Minimal Pairs in Contrastive Evaluation
EMNLP 2021
On the Origin of Implicit Regularization in Stochastic Gradient Descent
ICLR 2021
On the Predictability of Pruning Across Scales
ICML 2021
On the Proof of Global Convergence of Gradient Descent for Deep ReLU Networks with Linear Widths
ICML 2021
On the Random Conjugate Kernel and Neural Tangent Kernel
ICML 2021
On the Sample Complexity of Learning under Geometric Stability
NeurIPS 2021
On the Softmax Bottleneck of Recurrent Language Models
AAAI 2021
On the Stochastic Stability of Deep Markov Models
NeurIPS 2021
On the Theory of Implicit Deep Learning: Global Convergence with Implicit Layers
ICLR 2021
On the Verification of Neural ODEs with Stochastic Guarantees
AAAI 2021
Opening the Blackbox: Accelerating Neural Differential Equations by Regularizing Internal Solver Heuristics
ICML 2021
OpEvo: An Evolutionary Method for Tensor Operator Optimization
AAAI 2021
OPQ: Compressing Deep Neural Networks with One-shot Pruning-Quantization
AAAI 2021
Optimal Gradient Checkpoint Search for Arbitrary Computation Graphs
CVPR 2021
Optimal Quantization Using Scaled Codebook
CVPR 2021
Optimal Sketching for Trace Estimation
NeurIPS 2021
Optimal Transport for Deep Generative Models: State of the Art and Research Challenges
IJCAI 2021
Optimization of Graph Neural Networks: Implicit Acceleration by Skip Connections and More Depth
ICML 2021
Optimizing Deeper Transformers on Small Datasets
ACL 2021
Optimizing Information Theory Based Bitwise Bottlenecks for Efficient Mixed-Precision Activation Quantization
AAAI 2021
Optimizing Reusable Knowledge for Continual Learning via Metalearning
NeurIPS 2021