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)

Adaptive Test-Time Personalization for Federated Learning NeurIPS 2023 AdaptSim: Task-Driven Simulation Adaptation for Sim-to-Real Transfer CoRL 2023 AdaSent: Efficient Domain-Adapted Sentence Embeddings for Few-Shot Classification EMNLP 2023 A Data-Efficient Visual-Audio Representation with Intuitive Fine-tuning for Voice-Controlled Robots CoRL 2023 A Data-Free Approach to Mitigate Catastrophic Forgetting in Federated Class Incremental Learning for Vision Tasks NeurIPS 2023 A Dataset for Learning University STEM Courses at Scale and Generating Questions at a Human Level AAAI 2023 Add and Thin: Diffusion for Temporal Point Processes NeurIPS 2023 Addressing Negative Transfer in Diffusion Models NeurIPS 2023 A deep learning method trained on synthetic data for digital breast tomosynthesis reconstruction MIDL 2023 A Domain-Transfer Meta Task Design Paradigm for Few-Shot Slot Tagging AAAI 2023 AD-TUNING: An Adaptive CHILD-TUNING Approach to Efficient Hyperparameter Optimization of Child Networks for Speech Processing Tasks in the SUPERB Benchmark Interspeech 2023 Advancements in Arabic Grammatical Error Detection and Correction: An Empirical Investigation EMNLP 2023 Advancing Bangla Punctuation Restoration by a Monolingual Transformer-Based Method and a Large-Scale Corpus EMNLP 2023 Adversarial Collaborative Learning on Non-IID Features ICML 2023 Adversarial Counterfactual Environment Model Learning NeurIPS 2023 Adversarial Online Multi-Task Reinforcement Learning ALT 2023 Adversarial Robustness of Prompt-based Few-Shot Learning for Natural Language Understanding ACL 2023 A Federated Approach for Hate Speech Detection EACL 2023 A Federated Learning Monitoring Tool for Self-Driving Car Simulation (Student Abstract) AAAI 2023 A First Look into the Carbon Footprint of Federated Learning JMLR 2023 A Framework for Vision-Language Warm-up Tasks in Multimodal Dialogue Models EMNLP 2023 A General Framework for Multimodal Argument Persuasiveness Classification of Tweets EMNLP 2023 A General Framework For Proving The Equivariant Strong Lottery Ticket Hypothesis ICLR 2023 A General Theory for Federated Optimization with Asynchronous and Heterogeneous Clients Updates JMLR 2023 Aggregating Capacity in FL through Successive Layer Training for Computationally-Constrained Devices NeurIPS 2023