Neural Networks
13,168 papers
Papers per year
2
3
11
13
16
16
25
29
31
58
71
150
423
716
1,155
1,541
1,448
1,502
1,290
1,327
1,589
1,371
381
'10
'15
'20
'25
Papers
Learning Multi-Level Features with Matryoshka Sparse Autoencoders
ICML 2025
Learning Neural Networks with Distribution Shift: Efficiently Certifiable Guarantees
ICLR 2025
Learning Neural Scene Representation from iToF Imaging
ICCV 2025
Learning Normal Flow Directly From Events
ICCV 2025
Learning Null Geodesics for Gravitational Lensing Rendering in General Relativity
ICCV 2025
Learning Phase Distortion with Selective State Space Models for Video Turbulence Mitigation
CVPR 2025
Learning Pixel-adaptive Multi-layer Perceptrons for Real-time Image Enhancement
ICCV 2025
Learning to Discover Regulatory Elements for Gene Expression Prediction
ICLR 2025
Learning to Generate Projections for Reducing Dimensionality of Heterogeneous Linear Programming Problems
ICML 2025
Learning to (Learn at Test Time): RNNs with Expressive Hidden States
ICML 2025
Learning to Stop: Deep Learning for Mean Field Optimal Stopping
ICML 2025
Learning Verified Safe Neural Network Controllers for Multi-Agent Path Finding
AAAI 2025
Learning without Isolation: Pathway Protection for Continual Learning
ICML 2025
LEDiff: Latent Exposure Diffusion for HDR Generation
CVPR 2025
LegalSeg: Unlocking the Structure of Indian Legal Judgments Through Rhetorical Role Classification
NAACL 2025
Lego Sketch: A Scalable Memory-augmented Neural Network for Sketching Data Streams
ICML 2025
Let Me Grok for You: Accelerating Grokking via Embedding Transfer from a Weaker Model
ICLR 2025
LETS-C: Leveraging Text Embedding for Time Series Classification
ACL 2025
Let SSMs be ConvNets: State-space Modeling with Optimal Tensor Contractions
ICLR 2025
Leveraging Asynchronous Spiking Neural Networks for Ultra Efficient Event-Based Visual Processing
AAAI 2025
Leveraging Submodule Linearity Enhances Task Arithmetic Performance in LLMs
ICLR 2025
LEVIS: Large Exact Verifiable Input Spaces for Neural Networks
ICML 2025
LGA-Net: Learning Local and Global Affinities for Sparse Scribble based Image Colorization
ICCV 2025
LidarGait++: Learning Local Features and Size Awareness from LiDAR Point Clouds for 3D Gait Recognition
CVPR 2025
Lie Algebra Canonicalization: Equivariant Neural Operators under arbitrary Lie Groups
ICLR 2025