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)
Facto-CNN: Memory-Efficient CNN Training with Low-rank Tensor Factorization and Lossy Tensor Compression
ACML 2023
Fair Scratch Tickets: Finding Fair Sparse Networks Without Weight Training
CVPR 2023
FaLA: Fast Linear Adaptation for Replacing Backbone Models on Edge Devices
EMNLP 2023
Fast and Accurate Binary Neural Networks Based on Depth-Width Reshaping
AAAI 2023
Fast as CHITA: Neural Network Pruning with Combinatorial Optimization
ICML 2023
Fast Convergence in Learning Two-Layer Neural Networks with Separable Data
AAAI 2023
Fast, Differentiable and Sparse Top-k: a Convex Analysis Perspective
ICML 2023
Faster Adaptive Federated Learning
AAAI 2023
Faster Projection-Free Augmented Lagrangian Methods via Weak Proximal Oracle
AISTATS 2023
Faster Rates of Convergence to Stationary Points in Differentially Private Optimization
ICML 2023
Fast Objective & Duality Gap Convergence for Non-Convex Strongly-Concave Min-Max Problems with PL Condition
JMLR 2023
Fast Saturating Gate for Learning Long Time Scales with Recurrent Neural Networks
AAAI 2023
Fast-StrucTexT: An Efficient Hourglass Transformer with Modality-guided Dynamic Token Merge for Document Understanding
IJCAI 2023
FeatER: An Efficient Network for Human Reconstruction via Feature Map-Based TransformER
CVPR 2023
Feature learning in deep classifiers through Intermediate Neural Collapse
ICML 2023
Feature learning via mean-field Langevin dynamics: classifying sparse parities and beyond
NeurIPS 2023
Feature Likelihood Divergence: Evaluating the Generalization of Generative Models Using Samples
NeurIPS 2023
Feature selection and low test error in shallow low-rotation ReLU networks
ICLR 2023
FedAvg Converges to Zero Training Loss Linearly for Overparameterized Multi-Layer Neural Networks
ICML 2023
FIANCEE: Faster Inference of Adversarial Networks via Conditional Early Exits
CVPR 2023
FiD-ICL: A Fusion-in-Decoder Approach for Efficient In-Context Learning
ACL 2023
FiDO: Fusion-in-Decoder optimized for stronger performance and faster inference
ACL 2023
“Fifty Shades of Bias”: Normative Ratings of Gender Bias in GPT Generated English Text
EMNLP 2023
Finding the Pillars of Strength for Multi-Head Attention
ACL 2023
Fine-grained Expressivity of Graph Neural Networks
NeurIPS 2023