conftrace_

Learning Paradigms

14,967 papers (9 classified directly here)

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

Transfer Learning (8,172) Few-Shot Learning (2,681) Meta-Learning (1,719) Federated Learning (1,560) Zero-Shot Learning (878) Continual Learning (189) Domain Adaptation (184) Self-Supervised Learning (158) Active Learning (154) Multi-Task Learning (145) Semi-Supervised Learning (86) In-Context Learning (53) Unsupervised Learning (53) Domain Generalization (26) Weakly Supervised Learning (23)

Papers per year

3

2

4

12

24

14

20

29

31

32

66

53

67

103

206

482

852

1,124

1,566

1,867

2,410

2,658

2,486

856

'5

'10

'15

'20

'25

Papers (including subtopics)

Dialogue for Prompting: A Policy-Gradient-Based Discrete Prompt Generation for Few-Shot Learning AAAI 2024 DiffAug: A Diffuse-and-Denoise Augmentation for Training Robust Classifiers NeurIPS 2024 DiffCast: A Unified Framework via Residual Diffusion for Precipitation Nowcasting CVPR 2024 DiffSCI: Zero-Shot Snapshot Compressive Imaging via Iterative Spectral Diffusion Model CVPR 2024 Diffusion Tuning: Transferring Diffusion Models via Chain of Forgetting NeurIPS 2024 DILAB at #SMM4H 2024: RoBERTa Ensemble for Identifying Children’s Medical Disorders in English Tweets ACL 2024 DINER: Debiasing Aspect-based Sentiment Analysis with Multi-variable Causal Inference ACL 2024 DiPrompT: Disentangled Prompt Tuning for Multiple Latent Domain Generalization in Federated Learning CVPR 2024 Direct Distillation between Different Domains ECCV 2024 Direct Preference Optimization with an Offset ACL 2024 Dirichlet-based Uncertainty Quantification for Personalized Federated Learning with Improved Posterior Networks IJCAI 2024 Dirichlet Continual Learning: Tackling Catastrophic Forgetting in NLP UAI 2024 Discourse-Aware In-Context Learning for Temporal Expression Normalization NAACL 2024 Discovering Multiple Solutions from a Single Task in Offline Reinforcement Learning ICML 2024 Discovering plasticity rules that organize and maintain neural circuits NeurIPS 2024 Discovering Temporally-Aware Reinforcement Learning Algorithms ICLR 2024 Discrepancy and Uncertainty Aware Denoising Knowledge Distillation for Zero-Shot Cross-Lingual Named Entity Recognition AAAI 2024 Discriminative Language Model as Semantic Consistency Scorer for Prompt-based Few-Shot Text Classification COLING 2024 Discriminative Pattern Calibration Mechanism for Source-Free Domain Adaptation CVPR 2024 Discriminative Sample-Guided and Parameter-Efficient Feature Space Adaptation for Cross-Domain Few-Shot Learning CVPR 2024 Disentangled Unsupervised Skill Discovery for Efficient Hierarchical Reinforcement Learning NeurIPS 2024 Disentangling Pretrained Representation to Leverage Low-Resource Languages in Multilingual Machine Translation COLING 2024 Disentangling Questions from Query Generation for Task-Adaptive Retrieval EMNLP 2024 Dissecting learning and forgetting in language model finetuning ICLR 2024 Dissecting the Failure of Invariant Learning on Graphs NeurIPS 2024