conftrace_

Deep Learning

78,198 papers (26 classified directly here)

Subtopics · a paper can sit in several, so these overlap

Learning Types (32,670) Architectures (30,950) Models (20,488) Techniques (9,432) Optimization & Theory (7,804) Application Areas (273)

Papers per year

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859

1,652

3,233

5,368

6,434

7,726

8,506

9,951

12,524

14,487

6,029

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Papers (including subtopics)

Favoring One Among Equals - Not a Good Idea: Many-to-One Matching for Robust Transformer Based Pedestrian Detection WACV 2024 FB-GAN: A Novel Neural Sentiment-Enhanced Model for Stock Price Prediction COLING 2024 FBLG: A Local Graph Based Approach for Handling Dual Skewed Non-IID Data in Federated Learning IJCAI 2024 FC-GNN: Recovering Reliable and Accurate Correspondences from Interferences CVPR 2024 FCS: Feature Calibration and Separation for Non-Exemplar Class Incremental Learning CVPR 2024 FD3D: Exploiting Foreground Depth Map for Feature-Supervised Monocular 3D Object Detection AAAI 2024 Fearless Stochasticity in Expectation Propagation NeurIPS 2024 Feasibility and benefits of joint learning from MRI databases with different brain diseases and modalities for segmentation MIDL 2024 Feasibility Consistent Representation Learning for Safe Reinforcement Learning ICML 2024 FeatUp: A Model-Agnostic Framework for Features at Any Resolution ICLR 2024 Feature-aligned N-BEATS with Sinkhorn divergence ICLR 2024 Feature-augmented model for multilingual discourse relation classification EACL 2024 Feature Collapse ICLR 2024 Feature Contamination: Neural Networks Learn Uncorrelated Features and Fail to Generalize ICML 2024 Feature Distribution Matching by Optimal Transport for Effective and Robust Coreset Selection AAAI 2024 Feature Distribution on Graph Topology Mediates the Effect of Graph Convolution: Homophily Perspective ICML 2024 Feature emergence via margin maximization: case studies in algebraic tasks ICLR 2024 Feature Fusion from Head to Tail for Long-Tailed Visual Recognition AAAI 2024 Feature-Level Adversarial Attacks and Ranking Disruption for Visible-Infrared Person Re-identification NeurIPS 2024 Feature Re-Embedding: Towards Foundation Model-Level Performance in Computational Pathology CVPR 2024 Feature Reuse and Scaling: Understanding Transfer Learning with Protein Language Models ICML 2024 Feature Transportation Improves Graph Neural Networks AAAI 2024 Feature Unlearning for Pre-trained GANs and VAEs AAAI 2024 FeatWalk: Enhancing Few-Shot Classification through Local View Leveraging AAAI 2024 FedAS: Bridging Inconsistency in Personalized Federated Learning CVPR 2024