Guardado en:
| Autor principal: | Kumar, Siddharth Krishna |
|---|---|
| Formato: | Preprint |
| Publicado: |
2024
|
| Materias: | |
| Acceso en línea: | https://arxiv.org/abs/2401.08426 |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Wasserstein distributional adversarial training for deep neural networks
por: Bai, Xingjian, et al.
Publicado: (2025)
por: Bai, Xingjian, et al.
Publicado: (2025)
Differentiable, Bit-shifting, and Scalable Quantization without training neural network from scratch
por: Badar, Zia
Publicado: (2025)
por: Badar, Zia
Publicado: (2025)
From pre-training to downstream performance: Does domain-specific pre-training make sense?
por: Krones, Felix
Publicado: (2026)
por: Krones, Felix
Publicado: (2026)
GD-FPS: Growth-Driven Feedforward Parameter Selection for Efficient Fine-Tuning
por: Yang, Kenneth, et al.
Publicado: (2025)
por: Yang, Kenneth, et al.
Publicado: (2025)
Aligned explanations in neural networks
por: Lobet, Corentin, et al.
Publicado: (2026)
por: Lobet, Corentin, et al.
Publicado: (2026)
Equivariant neural networks and equivarification
por: Bao, Erkao, et al.
Publicado: (2019)
por: Bao, Erkao, et al.
Publicado: (2019)
A Fast and Efficient Modern BERT based Text-Conditioned Diffusion Model for Medical Image Segmentation
por: Dhara, Venkata Siddharth, et al.
Publicado: (2025)
por: Dhara, Venkata Siddharth, et al.
Publicado: (2025)
ManifoldGD: Training-Free Hierarchical Manifold Guidance for Diffusion-Based Dataset Distillation
por: Roy, Ayush, et al.
Publicado: (2026)
por: Roy, Ayush, et al.
Publicado: (2026)
Two out of Three (ToT): using self-consistency to make robust predictions
por: Lee, Jung Hoon, et al.
Publicado: (2025)
por: Lee, Jung Hoon, et al.
Publicado: (2025)
Exploring possible vector systems for faster training of neural networks with preconfigured latent spaces
por: Gabdullin, Nikita
Publicado: (2025)
por: Gabdullin, Nikita
Publicado: (2025)
On the explainability of max-plus neural networks
por: Enaieh, Ikhlas, et al.
Publicado: (2026)
por: Enaieh, Ikhlas, et al.
Publicado: (2026)
On margin-based generalization prediction in deep neural networks
por: Mouton, Coenraad
Publicado: (2024)
por: Mouton, Coenraad
Publicado: (2024)
Characterization of topological structures in different neural network architectures
por: Świder, Paweł
Publicado: (2024)
por: Świder, Paweł
Publicado: (2024)
Are classical deep neural networks weakly adversarially robust?
por: Sun, Nuolin, et al.
Publicado: (2025)
por: Sun, Nuolin, et al.
Publicado: (2025)
Generalizable Blood Cell Detection via Unified Dataset and Faster R-CNN
por: Sahay, Siddharth
Publicado: (2025)
por: Sahay, Siddharth
Publicado: (2025)
Spectral structural distortion reveals redundant neurons in neural networks
por: Wang, Yongyu
Publicado: (2026)
por: Wang, Yongyu
Publicado: (2026)
Multi-task convolutional neural network for image aesthetic assessment
por: Soydaner, Derya, et al.
Publicado: (2023)
por: Soydaner, Derya, et al.
Publicado: (2023)
Sparse components distinguish visual pathways & their alignment to neural networks
por: Marvi, Ammar I, et al.
Publicado: (2025)
por: Marvi, Ammar I, et al.
Publicado: (2025)
Training morphological neural networks with gradient descent: some theoretical insights
por: Blusseau, Samy
Publicado: (2024)
por: Blusseau, Samy
Publicado: (2024)
Neural network relief: a pruning algorithm based on neural activity
por: Dekhovich, Aleksandr, et al.
Publicado: (2021)
por: Dekhovich, Aleksandr, et al.
Publicado: (2021)
Using predefined vector systems as latent space configuration for neural network supervised training on data with arbitrarily large number of classes
por: Gabdullin, Nikita
Publicado: (2025)
por: Gabdullin, Nikita
Publicado: (2025)
Reduced storage direct tensor ring decomposition for convolutional neural networks compression
por: Gabor, Mateusz, et al.
Publicado: (2024)
por: Gabor, Mateusz, et al.
Publicado: (2024)
Investigating generalization capabilities of neural networks by means of loss landscapes and Hessian analysis
por: Gabdullin, Nikita
Publicado: (2024)
por: Gabdullin, Nikita
Publicado: (2024)
Using predefined vector systems to speed up neural network multimillion class classification
por: Gabdullin, Nikita, et al.
Publicado: (2026)
por: Gabdullin, Nikita, et al.
Publicado: (2026)
InfoGNN: End-to-end deep learning on mesh via graph neural networks
por: Gao, Ling, et al.
Publicado: (2025)
por: Gao, Ling, et al.
Publicado: (2025)
Neural Collapse Meets Differential Privacy: Curious Behaviors of NoisyGD with Near-perfect Representation Learning
por: Wang, Chendi, et al.
Publicado: (2024)
por: Wang, Chendi, et al.
Publicado: (2024)
Hand bone age estimation using divide and conquer strategy and lightweight convolutional neural networks
por: Kasani, Amin Ahmadi, et al.
Publicado: (2024)
por: Kasani, Amin Ahmadi, et al.
Publicado: (2024)
Mapping Rio de Janeiro's favelas: general-purpose vs. satellite-specific neural networks
por: Hallopeau, Thomas, et al.
Publicado: (2025)
por: Hallopeau, Thomas, et al.
Publicado: (2025)
Real-time prediction of breast cancer sites using deformation-aware graph neural network
por: Lee, Kyunghyun, et al.
Publicado: (2025)
por: Lee, Kyunghyun, et al.
Publicado: (2025)
Can neural networks count digit frequency?
por: Khandelwal, Padmaksh
Publicado: (2023)
por: Khandelwal, Padmaksh
Publicado: (2023)
Provably scale-covariant continuous hierarchical networks based on scale-normalized differential expressions coupled in cascade
por: Lindeberg, Tony
Publicado: (2019)
por: Lindeberg, Tony
Publicado: (2019)
Exploring Invariance in Images through One-way Wave Equations
por: Chen, Yinpeng, et al.
Publicado: (2023)
por: Chen, Yinpeng, et al.
Publicado: (2023)
Distributed solar generation forecasting using attention-based deep neural networks for cloud movement prediction
por: Perera, Maneesha, et al.
Publicado: (2024)
por: Perera, Maneesha, et al.
Publicado: (2024)
Mechanisms of Non-Monotonic Scaling in Vision Transformers
por: Kumar, Anantha Padmanaban Krishna
Publicado: (2025)
por: Kumar, Anantha Padmanaban Krishna
Publicado: (2025)
Parameter Reduction Improves Vision Transformers: A Comparative Study of Sharing and Width Reduction
por: Kumar, Anantha Padmanaban Krishna
Publicado: (2025)
por: Kumar, Anantha Padmanaban Krishna
Publicado: (2025)
P-NOC: adversarial training of CAM generating networks for robust weakly supervised semantic segmentation priors
por: David, Lucas, et al.
Publicado: (2023)
por: David, Lucas, et al.
Publicado: (2023)
A foundation for exact binarized morphological neural networks
por: Aouad, Theodore, et al.
Publicado: (2024)
por: Aouad, Theodore, et al.
Publicado: (2024)
Enhancing convolutional neural network generalizability via low-rank weight approximation
por: Gao, Chenyin, et al.
Publicado: (2022)
por: Gao, Chenyin, et al.
Publicado: (2022)
Simplifying Knowledge Transfer in Pretrained Models
por: Jain, Siddharth, et al.
Publicado: (2025)
por: Jain, Siddharth, et al.
Publicado: (2025)
LLVD: LSTM-based Explicit Motion Modeling in Latent Space for Blind Video Denoising
por: Rashid, Loay, et al.
Publicado: (2025)
por: Rashid, Loay, et al.
Publicado: (2025)
Ejemplares similares
-
Wasserstein distributional adversarial training for deep neural networks
por: Bai, Xingjian, et al.
Publicado: (2025) -
Differentiable, Bit-shifting, and Scalable Quantization without training neural network from scratch
por: Badar, Zia
Publicado: (2025) -
From pre-training to downstream performance: Does domain-specific pre-training make sense?
por: Krones, Felix
Publicado: (2026) -
GD-FPS: Growth-Driven Feedforward Parameter Selection for Efficient Fine-Tuning
por: Yang, Kenneth, et al.
Publicado: (2025) -
Aligned explanations in neural networks
por: Lobet, Corentin, et al.
Publicado: (2026)