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)
Convergence of Proximal Point and Extragradient-Based Methods Beyond Monotonicity: the Case of Negative Comonotonicity
ICML 2023
Coop: Memory is not a Commodity
NeurIPS 2023
CoordFill: Efficient High-Resolution Image Inpainting via Parameterized Coordinate Querying
AAAI 2023
CORNN: Convex optimization of recurrent neural networks for rapid inference of neural dynamics
NeurIPS 2023
Correlation Loss: Enforcing Correlation between Classification and Localization
AAAI 2023
Co-Training 2L Submodels for Visual Recognition
CVPR 2023
Co-training and Co-distillation for Quality Improvement and Compression of Language Models
EMNLP 2023
COT: Unsupervised Domain Adaptation With Clustering and Optimal Transport
CVPR 2023
CowClip: Reducing CTR Prediction Model Training Time from 12 Hours to 10 Minutes on 1 GPU
AAAI 2023
CP3: Channel Pruning Plug-In for Point-Based Networks
CVPR 2023
CReTIHC: Designing Causal Reasoning Tasks about Temporal Interventions and Hallucinated Confoundings
EMNLP 2023
Critical Initialization of Wide and Deep Neural Networks using Partial Jacobians: General Theory and Applications
NeurIPS 2023
Cross-Modal Attribute Insertions for Assessing the Robustness of Vision-and-Language Learning
ACL 2023
CSTAR: Towards Compact and Structured Deep Neural Networks with Adversarial Robustness
AAAI 2023
Curvature-Balanced Feature Manifold Learning for Long-Tailed Classification
CVPR 2023
D4FT: A Deep Learning Approach to Kohn-Sham Density Functional Theory
ICLR 2023
DamoFD: Digging into Backbone Design on Face Detection
ICLR 2023
Dataset Distillation with Convexified Implicit Gradients
ICML 2023
DeAR: A Deep-Learning-Based Audio Re-recording Resilient Watermarking
AAAI 2023
Decentralized Learning: Theoretical Optimality and Practical Improvements
JMLR 2023
Decentralized SGD and Average-direction SAM are Asymptotically Equivalent
ICML 2023
Decomposed Prompt Tuning via Low-Rank Reparameterization
EMNLP 2023
Deconstructing Data Reconstruction: Multiclass, Weight Decay and General Losses
NeurIPS 2023
Deep Declarative Dynamic Time Warping for End-to-End Learning of Alignment Paths
ICLR 2023
Deep Dive Into Gradients: Better Optimization for 3D Object Detection With Gradient-Corrected IoU Supervision
CVPR 2023