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

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9,951

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Papers (including subtopics)

Protein-Nucleic Acid Complex Modeling with Frame Averaging Transformer NeurIPS 2024 Proteus: Exploring Protein Structure Generation for Enhanced Designability and Efficiency ICML 2024 ProtGO: Function-Guided Protein Modeling for Unified Representation Learning NeurIPS 2024 ProtLLM: An Interleaved Protein-Language LLM with Protein-as-Word Pre-Training ACL 2024 ProtoGate: Prototype-based Neural Networks with Global-to-local Feature Selection for Tabular Biomedical Data ICML 2024 ProtoPFormer: Concentrating on Prototypical Parts in Vision Transformers for Interpretable Image Recognition IJCAI 2024 Prototypical Reward Network for Data-Efficient RLHF ACL 2024 Prototypical Transformer As Unified Motion Learners ICML 2024 ProtT3: Protein-to-Text Generation for Text-based Protein Understanding ACL 2024 Provable Accelerated Convergence of Nesterov’s Momentum for Deep ReLU Neural Networks ALT 2024 Provable Acceleration of Nesterov's Accelerated Gradient for Asymmetric Matrix Factorization and Linear Neural Networks NeurIPS 2024 Provable Acceleration of Nesterov’s Accelerated Gradient Method over Heavy Ball Method in Training Over-Parameterized Neural Networks IJCAI 2024 Provable and Efficient Dataset Distillation for Kernel Ridge Regression NeurIPS 2024 Provable Benefit of Cutout and CutMix for Feature Learning NeurIPS 2024 Provable Benefits of Complex Parameterizations for Structured State Space Models NeurIPS 2024 Provable Benefits of Local Steps in Heterogeneous Federated Learning for Neural Networks: A Feature Learning Perspective ICML 2024 Provable Compositional Generalization for Object-Centric Learning ICLR 2024 Provable Contrastive Continual Learning ICML 2024 Provable Editing of Deep Neural Networks using Parametric Linear Relaxation NeurIPS 2024 Provable Multi-Task Representation Learning by Two-Layer ReLU Neural Networks ICML 2024 Provable Posterior Sampling with Denoising Oracles via Tilted Transport NeurIPS 2024 Provable Robustness against a Union of L_0 Adversarial Attacks AAAI 2024 Provable Tempered Overfitting of Minimal Nets and Typical Nets NeurIPS 2024 Provably Efficient CVaR RL in Low-rank MDPs ICLR 2024 Provably Neural Active Learning Succeeds via Prioritizing Perplexing Samples ICML 2024