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)

Reinforced Learning Explicit Circuit Representations for Quantum State Characterization from Local Measurements ICML 2025 Reinforced Multi-teacher Knowledge Distillation for Efficient General Image Forgery Detection and Localization AAAI 2025 Reinforcement Active Client Selection for Federated Heterogeneous Graph Learning AAAI 2025 Reinforcement Learning for Large Language Models via Group Preference Reward Shaping EMNLP 2025 Reinforcement Learning Platform for Adversarial Black-box Attacks with Custom Distortion Filters AAAI 2025 Rejecting Hallucinated State Targets during Planning ICML 2025 Relating Piecewise Linear Kolmogorov Arnold Networks to ReLU Networks AISTATS 2025 RelationalCoder: Rethinking Complex Tables via Programmatic Relational Transformation ACL 2025 Relational Conformal Prediction for Correlated Time Series ICML 2025 Relational Invariant Learning for Robust Solvation Free Energy Prediction ICML 2025 Relational Object-Centric Actor-Critic CLeaR 2025 Relation-Aware Diffusion for Heterogeneous Graphs with Partially Observed Features ICLR 2025 Relation-Aware Equivariant Graph Networks for Epitope-Unknown Antibody Design and Specificity Optimization AAAI 2025 Relation Logical Reasoning and Relation-aware Entity Encoding for Temporal Knowledge Graph Reasoning COLING 2025 Relation-Rich Visual Document Generator for Visual Information Extraction CVPR 2025 Relative Illumination Fields: Learning Medium and Light Independent Underwater Scenes ICCV 2025 Relaxed Rotational Equivariance via G-Biases in Vision AAAI 2025 Relaxed Transition Kernels can Cure Underestimation in Adversarial Offline Reinforcement Learning ACML 2025 RelCon: Relative Contrastive Learning for a Motion Foundation Model for Wearable Data ICLR 2025 ReLearn: Unlearning via Learning for Large Language Models ACL 2025 Release the Powers of Prompt Tuning: Cross-Modality Prompt Transfer ICLR 2025 Reliable Algorithm Selection for Machine Learning-Guided Design ICML 2025 Reliable and Diverse Hierarchical Adapter for Zero-shot Video Classification IJCAI 2025 ReliableEval: A Recipe for Stochastic LLM Evaluation via Method of Moments EMNLP 2025 RELIC: Enhancing Reward Model Generalization for Low-Resource Indic Languages with Few-Shot Examples EMNLP 2025