Architectures
30,950 papers (33 classified directly here)
Subtopics · a paper can sit in several, so these overlap
Papers per year
2
3
15
13
18
17
27
39
43
74
94
221
536
912
1,611
2,559
3,004
3,504
3,729
4,021
4,550
4,519
1,439
'10
'15
'20
'25
Papers (including subtopics)
Increasing Biases Can Be More Efficient Than Increasing Weights
WACV 2024
Incremental Residual Concept Bottleneck Models
CVPR 2024
Indirectly Parameterized Concrete Autoencoders
ICML 2024
Individuation in Neural Models with and without Visual Grounding
EMNLP 2024
Inducing Point Operator Transformer: A Flexible and Scalable Architecture for Solving PDEs
AAAI 2024
Inductive Knowledge Graph Completion with GNNs and Rules: An Analysis
COLING 2024
Industry vs Academia: Running a Course on Transformers in Two Setups
ACL 2024
Inference of Neural Dynamics Using Switching Recurrent Neural Networks
NeurIPS 2024
Inferring Iterated Function Systems Approximately from Fractal Images
IJCAI 2024
Inferring Neural Signed Distance Functions by Overfitting on Single Noisy Point Clouds through Finetuning Data-Driven based Priors
NeurIPS 2024
Inferring stochastic low-rank recurrent neural networks from neural data
NeurIPS 2024
Infinite-Dimensional Feature Interaction
NeurIPS 2024
Infinite Limits of Multi-head Transformer Dynamics
NeurIPS 2024
InfoNet: Neural Estimation of Mutual Information without Test-Time Optimization
ICML 2024
Information Bottleneck Analysis of Deep Neural Networks via Lossy Compression
ICLR 2024
Infusing Self-Consistency into Density Functional Theory Hamiltonian Prediction via Deep Equilibrium Models
NeurIPS 2024
In-Hand 3D Object Reconstruction from a Monocular RGB Video
AAAI 2024
Inherently Interpretable Time Series Classification via Multiple Instance Learning
ICLR 2024
Initial Guessing Bias: How Untrained Networks Favor Some Classes
ICML 2024
Initialization is Critical to Whether Transformers Fit Composite Functions by Reasoning or Memorizing
NeurIPS 2024
Initializing Variable-sized Vision Transformers from Learngene with Learnable Transformation
NeurIPS 2024
Injecting Undetectable Backdoors in Obfuscated Neural Networks and Language Models
NeurIPS 2024
Innovative Directional Encoding in Speech Processing: Leveraging Spherical Harmonics Injection for Multi-Channel Speech Enhancement
IJCAI 2024
In Pursuit of Causal Label Correlations for Multi-label Image Recognition
NeurIPS 2024
Input Margins Can Predict Generalization Too
AAAI 2024