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)

Towards Seamless Adaptation of Pre-trained Models for Visual Place Recognition ICLR 2024 Towards the Reusability and Compositionality of Causal Representations CLeaR 2024 Towards the Robustness of Differentially Private Federated Learning AAAI 2024 Toward Student-oriented Teacher Network Training for Knowledge Distillation ICLR 2024 Towards Understanding the Relationship between In-context Learning and Compositional Generalization COLING 2024 Towards Unified Multi-Modal Personalization: Large Vision-Language Models for Generative Recommendation and Beyond ICLR 2024 Towards Unified Task Embeddings Across Multiple Models: Bridging the Gap for Prompt-Based Large Language Models and Beyond ACL 2024 Toward Zero-Shot Instruction Following EACL 2024 Toxicity Classification in Ukrainian NAACL 2024 TPR: Topology-Preserving Reservoirs for Generalized Zero-Shot Learning NeurIPS 2024 Trace-of-Thought Prompting: Investigating Prompt-Based Knowledge Distillation Through Question Decomposition ACL 2024 Tracing Hyperparameter Dependencies for Model Parsing via Learnable Graph Pooling Network NeurIPS 2024 Tracing the Roots of Facts in Multilingual Language Models: Independent, Shared, and Transferred Knowledge EACL 2024 Traffic Light or Light Traffic? Investigating Phrasal Semantics in Large Language Models EMNLP 2024 Train-Attention: Meta-Learning Where to Focus in Continual Knowledge Learning NeurIPS 2024 Trained Transformers Learn Linear Models In-Context JMLR 2024 Training BERT Models to Carry over a Coding System Developed on One Corpus to Another COLING 2024 Training Diffusion Models with Reinforcement Learning ICLR 2024 Training-Free Object Counting With Prompts WACV 2024 TrajCLIP: Pedestrian trajectory prediction method using contrastive learning and idempotent networks NeurIPS 2024 TransCoder: Towards Unified Transferable Code Representation Learning Inspired by Human Skills COLING 2024 Transcriptomics-guided Slide Representation Learning in Computational Pathology CVPR 2024 Transductive Active Learning: Theory and Applications NeurIPS 2024 TransFed: A Way To Epitomize Focal Modulation Using Transformer-Based Federated Learning WACV 2024 Transferability of Syntax-Aware Graph Neural Networks in Zero-Shot Cross-Lingual Semantic Role Labeling EMNLP 2024