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

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Papers (including subtopics)

Can BERT Refrain from Forgetting on Sequential Tasks? A Probing Study ICLR 2023 Can ChatGPT Detect Intent? Evaluating Large Language Models for Spoken Language Understanding Interspeech 2023 Can Cross-Lingual Transferability of Multilingual Transformers Be Activated Without End-Task Data? ACL 2023 Can Direct Latent Model Learning Solve Linear Quadratic Gaussian Control? L4DC 2023 CANIFE: Crafting Canaries for Empirical Privacy Measurement in Federated Learning ICLR 2023 Can Language Models Laugh at YouTube Short-form Videos? EMNLP 2023 Can Language Models Teach? Teacher Explanations Improve Student Performance via Personalization NeurIPS 2023 Can LMs Generalize to Future Data? An Empirical Analysis on Text Summarization EMNLP 2023 Can We Scale Transformers to Predict Parameters of Diverse ImageNet Models? ICML 2023 Can You Answer This? – Exploring Zero-Shot QA Generalization Capabilities in Large Language Models (Student Abstract) AAAI 2023 Can You Rely on Your Model Evaluation? Improving Model Evaluation with Synthetic Test Data NeurIPS 2023 CaPriDe Learning: Confidential and Private Decentralized Learning Based on Encryption-Friendly Distillation Loss CVPR 2023 Cascaded Multi-task Adaptive Learning Based on Neural Architecture Search Interspeech 2023 Category-Extensible Out-of-Distribution Detection via Hierarchical Context Descriptions NeurIPS 2023 Causal Discovery from Subsampled Time Series with Proxy Variables NeurIPS 2023 Causal Matching with Text Embeddings: A Case Study in Estimating the Causal Effects of Peer Review Policies ACL 2023 Causal Representation Learning for Instantaneous and Temporal Effects in Interactive Systems ICLR 2023 CCIL: Context-conditioned imitation learning for urban driving RSS 2023 CDFSL-V: Cross-Domain Few-Shot Learning for Videos ICCV 2023 CDMA: A Practical Cross-Device Federated Learning Algorithm for General Minimax Problems AAAI 2023 CDTA: A Cross-Domain Transfer-Based Attack with Contrastive Learning AAAI 2023 CEIL: Generalized Contextual Imitation Learning NeurIPS 2023 CellTranspose: Few-Shot Domain Adaptation for Cellular Instance Segmentation WACV 2023 CESAR: Automatic Induction of Compositional Instructions for Multi-turn Dialogs EMNLP 2023 CF-Font: Content Fusion for Few-Shot Font Generation CVPR 2023