Theory
1,239 papers
Papers per year
1
4
1
3
4
6
2
11
32
50
72
104
144
246
178
229
110
42
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Papers
Spurious Valleys and Clustering Behavior of Neural Networks
ICML 2023
Stochastic Collapse: How Gradient Noise Attracts SGD Dynamics Towards Simpler Subnetworks
NeurIPS 2023
Stochastic Gradient Descent-Induced Drift of Representation in a Two-Layer Neural Network
ICML 2023
Synthetic data for model selection
ICML 2023
The Analysis of Deep Neural Networks by Information Theory: From Explainability to Generalization
AAAI 2023
The Clock and the Pizza: Two Stories in Mechanistic Explanation of Neural Networks
NeurIPS 2023
The Expressive Power of Tuning Only the Normalization Layers
COLT 2023
The Hessian perspective into the Nature of Convolutional Neural Networks
ICML 2023
The Implicit Bias of Batch Normalization in Linear Models and Two-layer Linear Convolutional Neural Networks
COLT 2023
The Implicit Regularization of Dynamical Stability in Stochastic Gradient Descent
ICML 2023
The Implicit Regularization of Momentum Gradient Descent in Overparametrized Models
AAAI 2023
The NLP Task Effectiveness of Long-Range Transformers
EACL 2023
Theoretical and Practical Perspectives on what Influence Functions Do
NeurIPS 2023
Tokenization and the Noiseless Channel
ACL 2023
Top-Ambiguity Samples Matter: Understanding Why Deep Ensemble Works in Selective Classification
NeurIPS 2023
Towards Constituting Mathematical Structures for Learning to Optimize
ICML 2023
Towards the Difficulty for a Deep Neural Network to Learn Concepts of Different Complexities
NeurIPS 2023
Training Fully Connected Neural Networks is $\exists\mathbb{R}$-Complete
NeurIPS 2023
Training Neural Networks is NP-Hard in Fixed Dimension
NeurIPS 2023
Transformer Language Models Handle Word Frequency in Prediction Head
ACL 2023
Transformers learn through gradual rank increase
NeurIPS 2023
Tuning Frequency Bias in Neural Network Training with Nonuniform Data
ICLR 2023
Uncovering Hidden Consequences of Pre-training Objectives in Sequence-to-Sequence Models
ACL 2023
Understanding Gradient Regularization in Deep Learning: Efficient Finite-Difference Computation and Implicit Bias
ICML 2023
Understanding Imbalanced Semantic Segmentation Through Neural Collapse
CVPR 2023