Saved in:
| Main Authors: | Jacot, Arthur, Kaiser, Alexandre |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2405.17573 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Bottleneck Structure in Learned Features: Low-Dimension vs Regularity Tradeoff
by: Jacot, Arthur
Published: (2023)
by: Jacot, Arthur
Published: (2023)
Which Frequencies do CNNs Need? Emergent Bottleneck Structure in Feature Learning
by: Wen, Yuxiao, et al.
Published: (2024)
by: Wen, Yuxiao, et al.
Published: (2024)
Deep Learning as a Convex Paradigm of Computation: Minimizing Circuit Size with ResNets
by: Jacot, Arthur
Published: (2025)
by: Jacot, Arthur
Published: (2025)
ResNets Are Deeper Than You Think
by: Mehmeti-Göpel, Christian H. X. Ali, et al.
Published: (2025)
by: Mehmeti-Göpel, Christian H. X. Ali, et al.
Published: (2025)
L-Lipschitz Gershgorin ResNet Network
by: Juston, Marius F. R., et al.
Published: (2025)
by: Juston, Marius F. R., et al.
Published: (2025)
On the inductive bias of infinite-depth ResNets and the bottleneck rank
by: Boix-Adsera, Enric
Published: (2025)
by: Boix-Adsera, Enric
Published: (2025)
Neural Collapse is Globally Optimal in Deep Regularized ResNets and Transformers
by: Súkeník, Peter, et al.
Published: (2025)
by: Súkeník, Peter, et al.
Published: (2025)
Bridging Neural ODE and ResNet: A Formal Error Bound for Safety Verification
by: Sayed, Abdelrahman Sayed, et al.
Published: (2025)
by: Sayed, Abdelrahman Sayed, et al.
Published: (2025)
Cardioformer: Advancing AI in ECG Analysis with Multi-Granularity Patching and ResNet
by: Mobin, Md Kamrujjaman, et al.
Published: (2025)
by: Mobin, Md Kamrujjaman, et al.
Published: (2025)
Progressive Feedforward Collapse of ResNet Training
by: Wang, Sicong, et al.
Published: (2024)
by: Wang, Sicong, et al.
Published: (2024)
Acute Lymphoblastic Leukemia Diagnosis Employing YOLOv11, YOLOv8, ResNet50, and Inception-ResNet-v2 Deep Learning Models
by: Awad, Alaa, et al.
Published: (2025)
by: Awad, Alaa, et al.
Published: (2025)
How DNNs break the Curse of Dimensionality: Compositionality and Symmetry Learning
by: Jacot, Arthur, et al.
Published: (2024)
by: Jacot, Arthur, et al.
Published: (2024)
Mixed Dynamics In Linear Networks: Unifying the Lazy and Active Regimes
by: Tu, Zhenfeng, et al.
Published: (2024)
by: Tu, Zhenfeng, et al.
Published: (2024)
Saddle-To-Saddle Dynamics in Deep ReLU Networks: Low-Rank Bias in the First Saddle Escape
by: Bantzis, Ioannis, et al.
Published: (2025)
by: Bantzis, Ioannis, et al.
Published: (2025)
Lightweight Quantum-Enhanced ResNet for Coronary Angiography Classification: A Hybrid Quantum-Classical Feature Enhancement Framework
by: Xia, Jingsong
Published: (2026)
by: Xia, Jingsong
Published: (2026)
Lung Cancer Classification from CT Images Using ResNet
by: Adekunle, Olajumoke O., et al.
Published: (2025)
by: Adekunle, Olajumoke O., et al.
Published: (2025)
A Neural Architecture Search Method using Auxiliary Evaluation Metric based on ResNet Architecture
by: Wang, Shang, et al.
Published: (2025)
by: Wang, Shang, et al.
Published: (2025)
AdaResNet: Enhancing Residual Networks with Dynamic Weight Adjustment for Improved Feature Integration
by: Su, Hong
Published: (2024)
by: Su, Hong
Published: (2024)
PlantDiseaseNet-RT50: A Fine-tuned ResNet50 Architecture for High-Accuracy Plant Disease Detection Beyond Standard CNNs
by: Sagnika, Santwana, et al.
Published: (2025)
by: Sagnika, Santwana, et al.
Published: (2025)
MFI-ResNet: Efficient ResNet Architecture Optimization via MeanFlow Compression and Selective Incubation
by: Sun, Nuolin, et al.
Published: (2025)
by: Sun, Nuolin, et al.
Published: (2025)
ResBM: Residual Bottleneck Models for Low-Bandwidth Pipeline Parallelism
by: Aboudib, Alan, et al.
Published: (2026)
by: Aboudib, Alan, et al.
Published: (2026)
Scaling ResNets in the Large-depth Regime
by: Marion, Pierre, et al.
Published: (2022)
by: Marion, Pierre, et al.
Published: (2022)
Graph Structure Learning with Temporal Graph Information Bottleneck for Inductive Representation Learning
by: Xiong, Jiafeng, et al.
Published: (2025)
by: Xiong, Jiafeng, et al.
Published: (2025)
Universal approximation property of ODENet and ResNet with a single activation function
by: Kimura, Masato, et al.
Published: (2024)
by: Kimura, Masato, et al.
Published: (2024)
Learning to Intervene on Concept Bottlenecks
by: Steinmann, David, et al.
Published: (2023)
by: Steinmann, David, et al.
Published: (2023)
XFACTORS: Disentangled Information Bottleneck via Contrastive Supervision
by: Myara, Alexandre, et al.
Published: (2026)
by: Myara, Alexandre, et al.
Published: (2026)
These Are Not All the Features You Are Looking For: A Fundamental Bottleneck in Supervised Pretraining
by: Yang, Xingyu Alice, et al.
Published: (2025)
by: Yang, Xingyu Alice, et al.
Published: (2025)
ActNetFormer: Transformer-ResNet Hybrid Method for Semi-Supervised Action Recognition in Videos
by: Dass, Sharana Dharshikgan Suresh, et al.
Published: (2024)
by: Dass, Sharana Dharshikgan Suresh, et al.
Published: (2024)
GaGSL: Global-augmented Graph Structure Learning via Graph Information Bottleneck
by: Li, Shuangjie, et al.
Published: (2024)
by: Li, Shuangjie, et al.
Published: (2024)
Transformative or Conservative? Conservation laws for ResNets and Transformers
by: Marcotte, Sibylle, et al.
Published: (2025)
by: Marcotte, Sibylle, et al.
Published: (2025)
Interpreting the Residual Stream of ResNet18
by: Longon, André
Published: (2024)
by: Longon, André
Published: (2024)
Approximation theory for 1-Lipschitz ResNets
by: Murari, Davide, et al.
Published: (2025)
by: Murari, Davide, et al.
Published: (2025)
StormNet: Improving storm surge predictions with a GNN-based spatio-temporal offset forecasting model
by: Nader, Noujoud, et al.
Published: (2026)
by: Nader, Noujoud, et al.
Published: (2026)
Quotient Network -- A Network Similar to ResNet but Learning Quotients
by: Hui, Peng, et al.
Published: (2025)
by: Hui, Peng, et al.
Published: (2025)
Credal Concept Bottleneck Models: Structural Separation of Epistemic and Aleatoric Uncertainty
by: Mukherjee, Tanmoy, et al.
Published: (2026)
by: Mukherjee, Tanmoy, et al.
Published: (2026)
Is Value Learning Really the Main Bottleneck in Offline RL?
by: Park, Seohong, et al.
Published: (2024)
by: Park, Seohong, et al.
Published: (2024)
Learning Concept Bottleneck Models from Mechanistic Explanations
by: De Santis, Antonio, et al.
Published: (2026)
by: De Santis, Antonio, et al.
Published: (2026)
IBNorm: Information-Bottleneck Inspired Normalization for Representation Learning
by: Zou, Xiandong, et al.
Published: (2025)
by: Zou, Xiandong, et al.
Published: (2025)
Generalization of Scaled Deep ResNets in the Mean-Field Regime
by: Chen, Yihang, et al.
Published: (2024)
by: Chen, Yihang, et al.
Published: (2024)
Prediction Bottlenecks Don't Discover Causal Structure (But Here's What They Actually Do)
by: Lade, Ankit Hemant, et al.
Published: (2026)
by: Lade, Ankit Hemant, et al.
Published: (2026)
Similar Items
-
Bottleneck Structure in Learned Features: Low-Dimension vs Regularity Tradeoff
by: Jacot, Arthur
Published: (2023) -
Which Frequencies do CNNs Need? Emergent Bottleneck Structure in Feature Learning
by: Wen, Yuxiao, et al.
Published: (2024) -
Deep Learning as a Convex Paradigm of Computation: Minimizing Circuit Size with ResNets
by: Jacot, Arthur
Published: (2025) -
ResNets Are Deeper Than You Think
by: Mehmeti-Göpel, Christian H. X. Ali, et al.
Published: (2025) -
L-Lipschitz Gershgorin ResNet Network
by: Juston, Marius F. R., et al.
Published: (2025)