Optimization & Theory
7,804 papers (27 classified directly here)
Subtopics · a paper can sit in several, so these overlap
Papers per year
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12
6
16
9
25
48
45
60
94
150
295
436
675
803
1,010
944
1,346
1,352
463
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Papers (including subtopics)
SGD with Large Step Sizes Learns Sparse Features
ICML 2023
Shakes on a Plane: Unsupervised Depth Estimation From Unstabilized Photography
CVPR 2023
Shapley Head Pruning: Identifying and Removing Interference in Multilingual Transformers
EACL 2023
SHARCS: Efficient Transformers Through Routing with Dynamic Width Sub-networks
EMNLP 2023
Sharpness-Aware Minimization Leads to Low-Rank Features
NeurIPS 2023
ShiftAddViT: Mixture of Multiplication Primitives Towards Efficient Vision Transformer
NeurIPS 2023
Shortcomings of Top-Down Randomization-Based Sanity Checks for Evaluations of Deep Neural Network Explanations
CVPR 2023
Simple Hardware-Efficient Long Convolutions for Sequence Modeling
ICML 2023
Simplex Random Features
ICML 2023
Simplicity Bias in Transformers and their Ability to Learn Sparse Boolean Functions
ACL 2023
Simplifying Momentum-based Positive-definite Submanifold Optimization with Applications to Deep Learning
ICML 2023
Singularformer: Learning to Decompose Self-Attention to Linearize the Complexity of Transformer
IJCAI 2023
SLACK: Stable Learning of Augmentations With Cold-Start and KL Regularization
CVPR 2023
SLAMB: Accelerated Large Batch Training with Sparse Communication
ICML 2023
Sliced Optimal Partial Transport
CVPR 2023
Slide-Transformer: Hierarchical Vision Transformer With Local Self-Attention
CVPR 2023
SlowBERT: Slow-down Attacks on Input-adaptive Multi-exit BERT
ACL 2023
Small batch deep reinforcement learning
NeurIPS 2023
SmoothHess: ReLU Network Feature Interactions via Stein's Lemma
NeurIPS 2023
Smoothing the Landscape Boosts the Signal for SGD: Optimal Sample Complexity for Learning Single Index Models
NeurIPS 2023
SmoothQuant: Accurate and Efficient Post-Training Quantization for Large Language Models
ICML 2023
SMPConv: Self-Moving Point Representations for Continuous Convolution
CVPR 2023
SOL: Sampling-based Optimal Linear bounding of arbitrary scalar functions
NeurIPS 2023
Solving Oscillation Problem in Post-Training Quantization Through a Theoretical Perspective
CVPR 2023
Some Might Say All You Need Is Sum
IJCAI 2023