Research Explorer
Papers
Trends
Conferences
Explore
Authors
Topics
Keywords
Papers
Trends
Conferences
Explore
Authors
Topics
Keywords
Achievements
About
Methodology
← Optimization & Theory
Deep Learning
›
Optimization & Theory
›
Optimization
1638 directly classified papers
Papers per year
2006: 5
2007: 2
2008: 4
2009: 2
2010: 2
2011: 3
2012: 8
2013: 25
2014: 19
2015: 22
2016: 31
2017: 42
2018: 68
2019: 104
2020: 148
2021: 174
2022: 178
2023: 209
2024: 345
2025: 244
2026: 3
Papers
Auto-NBA: Efficient and Effective Search Over the Joint Space of Networks, Bitwidths, and Accelerators
ICML 2021
Revealing the Structure of Deep Neural Networks via Convex Duality
ICML 2021
Newton Method over Networks is Fast up to the Statistical Precision
ICML 2021
Principal Bit Analysis: Autoencoding with Schur-Concave Loss
ICML 2021
Loss Surface Simplexes for Mode Connecting Volumes and Fast Ensembling
ICML 2021
Training Quantized Neural Networks to Global Optimality via Semidefinite Programming
ICML 2021
Slot Machines: Discovering Winning Combinations of Random Weights in Neural Networks
ICML 2021
Acceleration via Fractal Learning Rate Schedules
ICML 2021
Sequence Length is a Domain: Length-based Overfitting in Transformer Models
EMNLP 2021
MTAdam: Automatic Balancing of Multiple Training Loss Terms
EMNLP 2021
Improving Privacy Guarantee and Efficiency of Latent Dirichlet Allocation Model Training Under Differential Privacy
EMNLP 2021
Corrected CBOW Performs as well as Skip-gram
EMNLP 2021
EASE: Extractive-Abstractive Summarization End-to-End using the Information Bottleneck Principle
EMNLP 2021
Low Resource Quadratic Forms for Knowledge Graph Embeddings
EMNLP 2021
Speeding Up Transformer Training By Using Dataset Subsampling - An Exploratory Analysis
EMNLP 2021
Hyperparameter Power Impact in Transformer Language Model Training
EMNLP 2021
Automated Log-Scale Quantization for Low-Cost Deep Neural Networks
CVPR 2021
Achieving Robustness in Classification Using Optimal Transport With Hinge Regularization
CVPR 2021
Towards Efficient Tensor Decomposition-Based DNN Model Compression With Optimization Framework
CVPR 2021
Limitations of Post-Hoc Feature Alignment for Robustness
CVPR 2021
Neural Reprojection Error: Merging Feature Learning and Camera Pose Estimation
CVPR 2021
Cross Modal Focal Loss for RGBD Face Anti-Spoofing
CVPR 2021
Tangent Space Backpropagation for 3D Transformation Groups
CVPR 2021
Architectural Adversarial Robustness: The Case for Deep Pursuit
CVPR 2021
GrooMeD-NMS: Grouped Mathematically Differentiable NMS for Monocular 3D Object Detection
CVPR 2021
<
1
…
40
41
42
…
66
>