Theory
5,579 papers
Papers per year
1
2
3
3
9
4
32
25
33
25
39
38
47
78
67
80
103
156
267
383
486
592
713
822
805
612
154
2000
'5
'10
'15
'20
'25
Papers
ptwt - The PyTorch Wavelet Toolbox
JMLR 2024
Pushing Boundaries: Mixup's Influence on Neural Collapse
ICLR 2024
Quantized Fourier and Polynomial Features for more Expressive Tensor Network Models
AISTATS 2024
Rademacher complexity of neural ODEs via Chen-Fliess series
L4DC 2024
Random Fully Connected Neural Networks as Perturbatively Solvable Hierarchies
JMLR 2024
Random Sparse Lifts: Construction, Analysis and Convergence of finite sparse networks
ICLR 2024
RashomonGB: Analyzing the Rashomon Effect and Mitigating Predictive Multiplicity in Gradient Boosting
NeurIPS 2024
Rates of convergence for density estimation with generative adversarial networks
JMLR 2024
Reciprocal Learning
NeurIPS 2024
Recurrent Concept Drifts on Data Streams
IJCAI 2024
Recurrent Neural Networks Learn to Store and Generate Sequences using Non-Linear Representations
EMNLP 2024
Regularized Adaptive Momentum Dual Averaging with an Efficient Inexact Subproblem Solver for Training Structured Neural Network
NeurIPS 2024
ReLU Network with Width d+O(1) Can Achieve Optimal Approximation Rate
ICML 2024
Replicability in Learning: Geometric Partitions and KKM-Sperner Lemma
NeurIPS 2024
Replicable Uniformity Testing
NeurIPS 2024
RepoBench: Benchmarking Repository-Level Code Auto-Completion Systems
ICLR 2024
Representation Learning via Manifold Flattening and Reconstruction
JMLR 2024
Reproduce, Replicate, Reevaluate. The Long but Safe Way to Extend Machine Learning Methods
AAAI 2024
Reproduction & Benchmarking of German Text Simplification Systems
COLING 2024
Reranking Laws for Language Generation: A Communication-Theoretic Perspective
NeurIPS 2024
Residual Learning in Diffusion Models
CVPR 2024
ReTaSA: A Nonparametric Functional Estimation Approach for Addressing Continuous Target Shift
ICLR 2024
Rethinking Backdoor Attacks on Dataset Distillation: A Kernel Method Perspective
ICLR 2024
Rethinking Decoders for Transformer-based Semantic Segmentation: A Compression Perspective
NeurIPS 2024
Rethinking Deep Thinking: Stable Learning of Algorithms using Lipschitz Constraints
NeurIPS 2024