Optimization & Theory
43,292 papers (3 classified directly here)
Subtopics · a paper can sit in several, so these overlap
Optimization (17,731)
Learning Theory (6,809)
Bayesian Inference (6,267)
Theory (5,579)
Statistical Learning (4,564)
Neural Network Optimization (4,155)
Stochastic Processes (2,948)
Stochastic Methods (1,283)
Loss Functions (1,220)
Distributed Learning (1,202)
Online Algorithms (1,013)
Statistics (822)
Generalization (376)
Information Theory (370)
Sample Complexity (282)
Sparse Optimization (241)
Game Theory (151)
Convex Optimization (132)
Optimal Transport (104)
Robust Optimization (84)
Distributed Optimization (73)
Approximation Algorithms (33)
Papers per year
1
14
29
44
31
52
189
195
212
235
352
382
457
787
816
828
1,066
1,391
1,913
3,012
3,646
4,303
4,450
5,357
6,155
5,854
1,521
2000
'5
'10
'15
'20
'25
Papers (including subtopics)
Scallop: From Probabilistic Deductive Databases to Scalable Differentiable Reasoning
NeurIPS 2021
Scarce Societal Resource Allocation and the Price of (Local) Justice
AAAI 2021
Scheduled Sampling Based on Decoding Steps for Neural Machine Translation
EMNLP 2021
Scheduling jobs with stochastic holding costs
NeurIPS 2021
Scheduling of Time-Varying Workloads Using Reinforcement Learning
AAAI 2021
School Choice with Flexible Diversity Goals and Specialized Seats
IJCAI 2021
SCNet: Training Inference Sample Consistency for Instance Segmentation
AAAI 2021
Score-based Generative Neural Networks for Large-Scale Optimal Transport
NeurIPS 2021
SDF-Bayes: Cautious Optimism in Safe Dose-Finding Clinical Trials with Drug Combinations and Heterogeneous Patient Groups
AISTATS 2021
Search from History and Reason for Future: Two-stage Reasoning on Temporal Knowledge Graphs
ACL 2021
Searching by Generating: Flexible and Efficient One-Shot NAS With Architecture Generator
CVPR 2021
Searching for Alignment in Face Recognition
AAAI 2021
Searching for Controllable Image Restoration Networks
ICCV 2021
Searching for Fast Model Families on Datacenter Accelerators
CVPR 2021
Searching for Machine Learning Pipelines Using a Context-Free Grammar
AAAI 2021
Searching for Robustness: Loss Learning for Noisy Classification Tasks
ICCV 2021
Searching for Search Errors in Neural Morphological Inflection
EACL 2021
Searching Parameterized AP Loss for Object Detection
NeurIPS 2021
Searching the Search Space of Vision Transformer
NeurIPS 2021
Second-Order Neural ODE Optimizer
NeurIPS 2021
Secure Bilevel Asynchronous Vertical Federated Learning with Backward Updating
AAAI 2021
SEDONA: Search for Decoupled Neural Networks toward Greedy Block-wise Learning
ICLR 2021
Seesaw Loss for Long-Tailed Instance Segmentation
CVPR 2021
Selective Sampling for Online Best-arm Identification
NeurIPS 2021
Selectivity considered harmful: evaluating the causal impact of class selectivity in DNNs
ICLR 2021