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)
Hard Prompts Made Easy: Gradient-Based Discrete Optimization for Prompt Tuning and Discovery
NeurIPS 2023
Head-Free Lightweight Semantic Segmentation with Linear Transformer
AAAI 2023
HiFi: High-Information Attention Heads Hold for Parameter-Efficient Model Adaptation
ACL 2023
High Probability Convergence of Stochastic Gradient Methods
ICML 2023
Honey, I Shrunk the Language: Language Model Behavior at Reduced Scale.
ACL 2023
HOTNAS: Hierarchical Optimal Transport for Neural Architecture Search
CVPR 2023
How Can Objects Help Action Recognition?
CVPR 2023
How Does Information Bottleneck Help Deep Learning?
ICML 2023
How Much Data Are Augmentations Worth? An Investigation into Scaling Laws, Invariance, and Implicit Regularization
ICLR 2023
How much does Initialization Affect Generalization?
ICML 2023
How Powerful are Shallow Neural Networks with Bandlimited Random Weights?
ICML 2023
How Predictable Are Large Language Model Capabilities? A Case Study on BIG-bench
EMNLP 2023
How to Distill your BERT: An Empirical Study on the Impact of Weight Initialisation and Distillation Objectives
ACL 2023
Hybrid Inverted Index Is a Robust Accelerator for Dense Retrieval
EMNLP 2023
Hybrid Pixel-Unshuffled Network for Lightweight Image Super-resolution
AAAI 2023
Hyena Hierarchy: Towards Larger Convolutional Language Models
ICML 2023
HyperConformer: Multi-head HyperMixer for Efficient Speech Recognition
Interspeech 2023
HyperJump: Accelerating HyperBand via Risk Modelling
AAAI 2023
HyperMixer: An MLP-based Low Cost Alternative to Transformers
ACL 2023
HyperPELT: Unified Parameter-Efficient Language Model Tuning for Both Language and Vision-and-Language Tasks
ACL 2023
HyperReel: High-Fidelity 6-DoF Video With Ray-Conditioned Sampling
CVPR 2023
ImageNet-E: Benchmarking Neural Network Robustness via Attribute Editing
CVPR 2023
ImageNet-Hard: The Hardest Images Remaining from a Study of the Power of Zoom and Spatial Biases in Image Classification
NeurIPS 2023
ImbSAM: A Closer Look at Sharpness-Aware Minimization in Class-Imbalanced Recognition
ICCV 2023
Impact of classification difficulty on the weight matrices spectra in Deep Learning and application to early-stopping
JMLR 2023