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Methodology
← Learning Types
Machine Learning
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Learning Types
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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
Mitigating Misleading Chain-of-Thought Reasoning with Selective Filtering
COLING 2024
Unsupervised Deep Unrolling Networks for Phase Unwrapping
CVPR 2024
A Study of Dropout-Induced Modality Bias on Robustness to Missing Video Frames for Audio-Visual Speech Recognition
CVPR 2024
Single-View Scene Point Cloud Human Grasp Generation
CVPR 2024
Towards Real-World HDR Video Reconstruction: A Large-Scale Benchmark Dataset and A Two-Stage Alignment Network
CVPR 2024
Understanding Likelihood of Normalizing Flow and Image Complexity through the Lens of Out-of-Distribution Detection
AAAI 2024
Q-SENN: Quantized Self-Explaining Neural Networks
AAAI 2024
Early Detection of Extreme Storm Tide Events Using Multimodal Data Processing
AAAI 2024
FedGCS: A Generative Framework for Efficient Client Selection in Federated Learning via Gradient-based Optimization
IJCAI 2024
Towards Reproducible, Automated, and Scalable Anomaly Detection
AAAI 2024
Discriminability-Driven Channel Selection for Out-of-Distribution Detection
CVPR 2024
L2B: Learning to Bootstrap Robust Models for Combating Label Noise
CVPR 2024
Studying Language Variation Considering the Re-Usability of Modern Theories, Tools and Resources for Annotating Explicit and Implicit Events in Centuries Old Text
NAACL 2024
Guided Trajectory Generation with Diffusion Models for Offline Model-based Optimization
NIPS 2024
Iterate Averaging in the Quest for Best Test Error
JMLR 2024
The good, the bad and the ugly sides of data augmentation: An implicit spectral regularization perspective
JMLR 2024
Nonasymptotic analysis of Stochastic Gradient Hamiltonian Monte Carlo under local conditions for nonconvex optimization
JMLR 2024
Generalization and Stability of Interpolating Neural Networks with Minimal Width
JMLR 2024
Sharpness-Aware Minimization and the Edge of Stability
JMLR 2024
Preserving Fairness Generalization in Deepfake Detection
CVPR 2024
Learned Scanpaths Aid Blind Panoramic Video Quality Assessment
CVPR 2024
TFCD: Towards Multi-modal Sarcasm Detection via Training-Free Counterfactual Debiasing
IJCAI 2024
Revisiting Adversarial Training at Scale
CVPR 2024
SimCalib: Graph Neural Network Calibration Based on Similarity between Nodes
AAAI 2024
Generate Synthetic Text Approximating the Private Distribution with Differential Privacy
IJCAI 2024
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