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Neural Networks

11,723 papers

Papers per year

25
148
1385
860
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'25

Papers

KOALA: Empirical Lessons Toward Memory-Efficient and Fast Diffusion Models for Text-to-Image Synthesis NIPS 2024
EnOF-SNN: Training Accurate Spiking Neural Networks via Enhancing the Output Feature NIPS 2024
Vision Mamba Mender NIPS 2024
Alias-Free Mamba Neural Operator NIPS 2024
Multilinear Mixture of Experts: Scalable Expert Specialization through Factorization NIPS 2024
Color-Oriented Redundancy Reduction in Dataset Distillation NIPS 2024
Provable Tempered Overfitting of Minimal Nets and Typical Nets NIPS 2024
Only Strict Saddles in the Energy Landscape of Predictive Coding Networks? NIPS 2024
Flow Snapshot Neurons in Action: Deep Neural Networks Generalize to Biological Motion Perception NIPS 2024
FilterNet: Harnessing Frequency Filters for Time Series Forecasting NIPS 2024
START: A Generalized State Space Model with Saliency-Driven Token-Aware Transformation NIPS 2024
Cascade of phase transitions in the training of energy-based models NIPS 2024
BAM! Just Like That: Simple and Efficient Parameter Upcycling for Mixture of Experts NIPS 2024
Deep Submodular Peripteral Networks NIPS 2024
Mixture of neural fields for heterogeneous reconstruction in cryo-EM NIPS 2024
Mixture of Nested Experts: Adaptive Processing of Visual Tokens NIPS 2024
Muharaf: Manuscripts of Handwritten Arabic Dataset for Cursive Text Recognition NIPS 2024
OnlineTAS: An Online Baseline for Temporal Action Segmentation NIPS 2024
Breaking Semantic Artifacts for Generalized AI-generated Image Detection NIPS 2024
RMLR: Extending Multinomial Logistic Regression into General Geometries NIPS 2024
Wide Two-Layer Networks can Learn from Adversarial Perturbations NIPS 2024
Coupled Mamba: Enhanced Multimodal Fusion with Coupled State Space Model NIPS 2024
Simulation-Free Training of Neural ODEs on Paired Data NIPS 2024
Inferring Neural Signed Distance Functions by Overfitting on Single Noisy Point Clouds through Finetuning Data-Driven based Priors NIPS 2024
A Canonicalization Perspective on Invariant and Equivariant Learning NIPS 2024