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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
'10
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'25

Papers (including subtopics)

Untrained Neural Nets for Snapshot Compressive Imaging: Theory and Algorithms NIPS 2024
Enhancing Feature Diversity Boosts Channel-Adaptive Vision Transformers NIPS 2024
A Theoretical Understanding of Self-Correction through In-context Alignment NIPS 2024
DeepITE: Designing Variational Graph Autoencoders for Intervention Target Estimation NIPS 2024
Continuous Product Graph Neural Networks NIPS 2024
CYCLO: Cyclic Graph Transformer Approach to Multi-Object Relationship Modeling in Aerial Videos NIPS 2024
ENAT: Rethinking Spatial-temporal Interactions in Token-based Image Synthesis NIPS 2024
GRANOLA: Adaptive Normalization for Graph Neural Networks NIPS 2024
The Intelligible and Effective Graph Neural Additive Network NIPS 2024
DeTrack: In-model Latent Denoising Learning for Visual Object Tracking NIPS 2024
On provable privacy vulnerabilities of graph representations NIPS 2024
Rethinking 3D Convolution in $\ell_p$-norm Space NIPS 2024
Graph Learning for Numeric Planning NIPS 2024
NN4SysBench: Characterizing Neural Network Verification for Computer Systems NIPS 2024
DTGB: A Comprehensive Benchmark for Dynamic Text-Attributed Graphs NIPS 2024
Multi-scale Consistency for Robust 3D Registration via Hierarchical Sinkhorn Tree NIPS 2024
FEEL-SNN: Robust Spiking Neural Networks with Frequency Encoding and Evolutionary Leak Factor NIPS 2024
Mitigating Object Hallucination via Concentric Causal Attention NIPS 2024
Speculative Decoding with CTC-based Draft Model for LLM Inference Acceleration NIPS 2024
Second-order forward-mode optimization of recurrent neural networks for neuroscience NIPS 2024
Unraveling the Gradient Descent Dynamics of Transformers NIPS 2024
Infinite-Dimensional Feature Interaction NIPS 2024
GeSS: Benchmarking Geometric Deep Learning under Scientific Applications with Distribution Shifts NIPS 2024
In-Context Learning with Transformers: Softmax Attention Adapts to Function Lipschitzness NIPS 2024
Rethinking the Membrane Dynamics and Optimization Objectives of Spiking Neural Networks NIPS 2024