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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
Improving Robustness via Tilted Exponential Layer: A Communication-Theoretic Perspective
AISTATS 2024
Video-Based Human Pose Regression via Decoupled Space-Time Aggregation
CVPR 2024
On the Impact of Overparameterization on the Training of a Shallow Neural Network in High Dimensions
AISTATS 2024
Deep Video Inverse Tone Mapping Based on Temporal Clues
CVPR 2024
Spike-guided Motion Deblurring with Unknown Modal Spatiotemporal Alignment
CVPR 2024
Dynamic Inter-treatment Information Sharing for Individualized Treatment Effects Estimation
AISTATS 2024
Inter-X: Towards Versatile Human-Human Interaction Analysis
CVPR 2024
ANIM: Accurate Neural Implicit Model for Human Reconstruction from a single RGB-D Image
CVPR 2024
Posterior Uncertainty Quantification in Neural Networks using Data Augmentation
AISTATS 2024
Real-Time Simulated Avatar from Head-Mounted Sensors
CVPR 2024
FISBe: A Real-World Benchmark Dataset for Instance Segmentation of Long-Range Thin Filamentous Structures
CVPR 2024
Towards Real-World HDR Video Reconstruction: A Large-Scale Benchmark Dataset and A Two-Stage Alignment Network
CVPR 2024
Learning multivariate temporal point processes via the time-change theorem
AISTATS 2024
Archaeoscape: Bringing Aerial Laser Scanning Archaeology to the Deep Learning Era
NIPS 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
Density-Regression: Efficient and Distance-aware Deep Regressor for Uncertainty Estimation under Distribution Shifts
AISTATS 2024
Interpretable Mesomorphic Networks for Tabular Data
NIPS 2024
TabularBench: Benchmarking Adversarial Robustness for Tabular Deep Learning in Real-world Use-cases
NIPS 2024
SoftDedup: an Efficient Data Reweighting Method for Speeding Up Language Model Pre-training
ACL 2024
Mixture of Nested Experts: Adaptive Processing of Visual Tokens
NIPS 2024
Muharaf: Manuscripts of Handwritten Arabic Dataset for Cursive Text Recognition
NIPS 2024
Achieving Group Distributional Robustness and Minimax Group Fairness with Interpolating Classifiers
AISTATS 2024
Faster Neighborhood Attention: Reducing the O(n^2) Cost of Self Attention at the Threadblock Level
NIPS 2024
iToF-flow-based High Frame Rate Depth Imaging
CVPR 2024
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