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Methodology
← Learning Types
Machine Learning
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Deep Learning
1397 directly classified papers
Papers per year
2006: 3
2007: 4
2008: 3
2011: 5
2012: 11
2013: 4
2014: 4
2015: 3
2016: 26
2017: 50
2018: 67
2019: 107
2020: 163
2021: 131
2022: 139
2023: 166
2024: 277
2025: 233
2026: 1
Papers
Robust Methods for High-Dimensional Linear Learning
JMLR 2023
Robust Generalization Against Photon-Limited Corruptions via Worst-Case Sharpness Minimization
CVPR 2023
Data Labeling for Machine Learning Engineers: Project-Based Curriculum and Data-Centric Competitions
AAAI 2023
Generalization Bounds for Noisy Iterative Algorithms Using Properties of Additive Noise Channels
JMLR 2023
3D Human Pose Estimation via Intuitive Physics
CVPR 2023
Global and Local Mixture Consistency Cumulative Learning for Long-Tailed Visual Recognitions
CVPR 2023
Overlooked Factors in Concept-Based Explanations: Dataset Choice, Concept Learnability, and Human Capability
CVPR 2023
Maestro: A Gamified Platform for Teaching AI Robustness
AAAI 2023
Class-Conditional Sharpness-Aware Minimization for Deep Long-Tailed Recognition
CVPR 2023
Physics Guided Neural Networks for Time-Aware Fairness: An Application in Crop Yield Prediction
AAAI 2023
“Nothing Abnormal”: Disambiguating Medical Reports via Contrastive Knowledge Infusion
AAAI 2023
How to Control Sentiment in Text Generation: A Survey of the State-of-the-Art in Sentiment-Control Techniques
ACL 2023
Spatio-Temporal Graph Neural Point Process for Traffic Congestion Event Prediction
AAAI 2023
Inducing Neural Collapse in Deep Long-tailed Learning
AISTATS 2023
On the Implicit Geometry of Cross-Entropy Parameterizations for Label-Imbalanced Data
AISTATS 2023
HeteRSGD: Tackling Heterogeneous Sampling Costs via Optimal Reweighted Stochastic Gradient Descent
AISTATS 2023
Coherent Probabilistic Forecasting of Temporal Hierarchies
AISTATS 2023
Leveraging Inpainting for Single-Image Shadow Removal
ICCV 2023
Loss-Curvature Matching for Dataset Selection and Condensation
AISTATS 2023
Global-Local Regularization Via Distributional Robustness
AISTATS 2023
Meta-Learning with Adjoint Methods
AISTATS 2023
Efficient and Light-Weight Federated Learning via Asynchronous Distributed Dropout
AISTATS 2023
BoxDiff: Text-to-Image Synthesis with Training-Free Box-Constrained Diffusion
ICCV 2023
Classification of Adolescents’ Risky Behavior in Instant Messaging Conversations
AISTATS 2023
Fixing by Mixing: A Recipe for Optimal Byzantine ML under Heterogeneity
AISTATS 2023
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