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Methodology
← Learning Types
Deep Learning
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Learning Types
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Deep Learning
1752 directly classified papers
Papers per year
2007: 1
2008: 1
2010: 2
2011: 2
2012: 3
2013: 14
2014: 12
2015: 20
2016: 48
2017: 98
2018: 154
2019: 205
2020: 255
2021: 205
2022: 198
2023: 160
2024: 208
2025: 163
2026: 3
Papers
Kepler Light Curve Classification Using Deep Learning and Markov Transition Field (Student Abstract)
AAAI 2024
Rethinking Fourier Transform from A Basis Functions Perspective for Long-term Time Series Forecasting
NIPS 2024
Understanding Representation of Deep Equilibrium Models from Neural Collapse Perspective
NIPS 2024
Optimal deep learning of holomorphic operators between Banach spaces
NIPS 2024
Reimagining Mutual Information for Enhanced Defense against Data Leakage in Collaborative Inference
NIPS 2024
Improving Robustness via Tilted Exponential Layer: A Communication-Theoretic Perspective
AISTATS 2024
On the Impact of Overparameterization on the Training of a Shallow Neural Network in High Dimensions
AISTATS 2024
DrivAerNet++: A Large-Scale Multimodal Car Dataset with Computational Fluid Dynamics Simulations and Deep Learning Benchmarks
NIPS 2024
Dynamic Inter-treatment Information Sharing for Individualized Treatment Effects Estimation
AISTATS 2024
Posterior Uncertainty Quantification in Neural Networks using Data Augmentation
AISTATS 2024
Optimizing Automatic Differentiation with Deep Reinforcement Learning
NIPS 2024
dopanim: A Dataset of Doppelganger Animals with Noisy Annotations from Multiple Humans
NIPS 2024
Learning multivariate temporal point processes via the time-change theorem
AISTATS 2024
Lightweight Dynamic Sparse Transformer for Monaural Speech Enhancement
INTERSPEECH 2024
Probabilistic Calibration by Design for Neural Network Regression
AISTATS 2024
Preventing Arbitrarily High Confidence on Far-Away Data in Point-Estimated Discriminative Neural Networks
AISTATS 2024
End-to-End Real-World Polyphonic Piano Audio-to-Score Transcription with Hierarchical Decoding
IJCAI 2024
Density-Regression: Efficient and Distance-aware Deep Regressor for Uncertainty Estimation under Distribution Shifts
AISTATS 2024
MUSE: Flexible Voiceprint Receptive Fields and Multi-Path Fusion Enhanced Taylor Transformer for U-Net-based Speech Enhancement
INTERSPEECH 2024
Achieving Group Distributional Robustness and Minimax Group Fairness with Interpolating Classifiers
AISTATS 2024
On the Success and Limitations of Auxiliary Network Based Word-Level End-to-End Neural Speaker Diarization
INTERSPEECH 2024
Benchmarking Fish Dataset and Evaluation Metric in Keypoint Detection - Towards Precise Fish Morphological Assessment in Aquaculture Breeding
IJCAI 2024
FakeSound: Deepfake General Audio Detection
INTERSPEECH 2024
GLOP: Learning Global Partition and Local Construction for Solving Large-Scale Routing Problems in Real-Time
AAAI 2024
Autoregressive Image Generation without Vector Quantization
NIPS 2024
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