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Architectures

27,448 papers (33 classified directly here)

Subtopics

Neural Networks (11,723) Transformers (10,397) Graph Neural Networks (4,522) Autoencoders (1,154) Convolutional Neural Networks (973) Recurrent Neural Networks (593) Generative Adversarial Networks (18) Encoder-Decoder (14)

Papers per year

27
213
2915
3174
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'25

Papers (including subtopics)

AnyFit: Controllable Virtual Try-on for Any Combination of Attire Across Any Scenario NIPS 2024
Non-Stationary Learning of Neural Networks with Automatic Soft Parameter Reset NIPS 2024
Improving Equivariant Model Training via Constraint Relaxation NIPS 2024
Understanding and Minimising Outlier Features in Transformer Training NIPS 2024
Towards training digitally-tied analog blocks via hybrid gradient computation NIPS 2024
Toward Efficient Inference for Mixture of Experts NIPS 2024
DN-4DGS: Denoised Deformable Network with Temporal-Spatial Aggregation for Dynamic Scene Rendering NIPS 2024
PGN: The RNN's New Successor is Effective for Long-Range Time Series Forecasting NIPS 2024
Vision Transformer Neural Architecture Search for Out-of-Distribution Generalization: Benchmark and Insights NIPS 2024
Interpreting CLIP with Sparse Linear Concept Embeddings (SpLiCE) NIPS 2024
FASTopic: Pretrained Transformer is a Fast, Adaptive, Stable, and Transferable Topic Model NIPS 2024
Deep Learning for Computing Convergence Rates of Markov Chains NIPS 2024
Visual Autoregressive Modeling: Scalable Image Generation via Next-Scale Prediction NIPS 2024
Federated Learning over Connected Modes NIPS 2024
A provable control of sensitivity of neural networks through a direct parameterization of the overall bi-Lipschitzness NIPS 2024
Advancing Open-Set Domain Generalization Using Evidential Bi-Level Hardest Domain Scheduler NIPS 2024
A Closer Look at the CLS Token for Cross-Domain Few-Shot Learning NIPS 2024
Leveraging Contrastive Learning for Enhanced Node Representations in Tokenized Graph Transformers NIPS 2024
In-Context Learning with Representations: Contextual Generalization of Trained Transformers NIPS 2024
Learning Infinitesimal Generators of Continuous Symmetries from Data NIPS 2024
Brain-JEPA: Brain Dynamics Foundation Model with Gradient Positioning and Spatiotemporal Masking NIPS 2024
On Feature Learning in Structured State Space Models NIPS 2024
Local to Global: Learning Dynamics and Effect of Initialization for Transformers NIPS 2024
Neural Model Checking NIPS 2024
How many classifiers do we need? NIPS 2024