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Deep Learning
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4351 directly classified papers
Papers per year
2006: 1
2008: 1
2009: 1
2010: 1
2013: 5
2014: 5
2015: 22
2016: 57
2017: 124
2018: 231
2019: 415
2020: 405
2021: 617
2022: 503
2023: 619
2024: 584
2025: 505
2026: 255
Papers
Making Vision Transformers Truly Shift-Equivariant
CVPR 2024
ContextSeg: Sketch Semantic Segmentation by Querying the Context with Attention
CVPR 2024
Structured Gradient-based Interpretations via Norm-Regularized Adversarial Training
CVPR 2024
Causal Analysis for Robust Interpretability of Neural Networks
WACV 2024
MLP Can Be A Good Transformer Learner
CVPR 2024
PPLNs: Parametric Piecewise Linear Networks for Event-Based Temporal Modeling and Beyond
NIPS 2024
On the Scalability of Diffusion-based Text-to-Image Generation
CVPR 2024
SD2Event:Self-supervised Learning of Dynamic Detectors and Contextual Descriptors for Event Cameras
CVPR 2024
Hierarchical Patch Diffusion Models for High-Resolution Video Generation
CVPR 2024
Unleashing Channel Potential: Space-Frequency Selection Convolution for SAR Object Detection
CVPR 2024
FMA-Net: Flow-Guided Dynamic Filtering and Iterative Feature Refinement with Multi-Attention for Joint Video Super-Resolution and Deblurring
CVPR 2024
A Sequential Learning-Based Approach for Monocular Human Performance Capture
WACV 2024
SHAP-EDITOR: Instruction-Guided Latent 3D Editing in Seconds
CVPR 2024
SNED: Superposition Network Architecture Search for Efficient Video Diffusion Model
CVPR 2024
CSTA: CNN-based Spatiotemporal Attention for Video Summarization
CVPR 2024
DeCoTR: Enhancing Depth Completion with 2D and 3D Attentions
CVPR 2024
XScale-NVS: Cross-Scale Novel View Synthesis with Hash Featurized Manifold
CVPR 2024
Model-based Diffusion for Trajectory Optimization
NIPS 2024
Finding Lottery Tickets in Vision Models via Data-driven Spectral Foresight Pruning
CVPR 2024
4K-Resolution Photo Exposure Correction at 125 FPS With ~8K Parameters
WACV 2024
SOI: Scaling Down Computational Complexity by Estimating Partial States of the Model
NIPS 2024
Enhancing In-Context Learning Performance with just SVD-Based Weight Pruning: A Theoretical Perspective
NIPS 2024
Unraveling Batch Normalization for Realistic Test-Time Adaptation
AAAI 2024
RoCEL: Advancing Table Entity Linking through Distinctive Row and Column Contexts
EMNLP 2024
AdaShift: Learning Discriminative Self-Gated Neural Feature Activation With an Adaptive Shift Factor
CVPR 2024
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