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

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12

24

14

20

29

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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)

READ-BioMed@SocialDisNER: Adaptation of an Annotation System to Spanish Tweets COLING 2022 Reasoning Like Program Executors EMNLP 2022 Reconciliation of Pre-trained Models and Prototypical Neural Networks in Few-shot Named Entity Recognition EMNLP 2022 ReCo: Retrieve and Co-segment for Zero-shot Transfer NeurIPS 2022 Recycle Your Wav2Vec2 Codebook: A Speech Perceiver for Keyword Spotting COLING 2022 Recycling Model Updates in Federated Learning: Are Gradient Subspaces Low-Rank? ICLR 2022 Refinement Matters: Textual Description Needs to be Refined for Zero-shot Learning EMNLP 2022 Refining Low-Resource Unsupervised Translation by Language Disentanglement of Multilingual Translation Model NeurIPS 2022 Regularized Graph Structure Learning with Semantic Knowledge for Multi-variates Time-Series Forecasting IJCAI 2022 Reincarnating Reinforcement Learning: Reusing Prior Computation to Accelerate Progress NeurIPS 2022 Reinforcement Guided Multi-Task Learning Framework for Low-Resource Stereotype Detection ACL 2022 Reinforcement Learning from Partial Observation: Linear Function Approximation with Provable Sample Efficiency ICML 2022 Reinforcement Learning under a Multi-agent Predictive State Representation Model: Method and Theory ICLR 2022 Relational Abstractions for Generalized Reinforcement Learning on Symbolic Problems IJCAI 2022 Relational Multi-Task Learning: Modeling Relations between Data and Tasks ICLR 2022 Replacing Labeled Real-Image Datasets With Auto-Generated Contours CVPR 2022 Rep-Net: Efficient On-Device Learning via Feature Reprogramming CVPR 2022 Representation Learning for Online and Offline RL in Low-rank MDPs ICLR 2022 Representation Learning for Resource-Constrained Keyphrase Generation EMNLP 2022 Representation Topology Divergence: A Method for Comparing Neural Network Representations. ICML 2022 Residual bootstrap exploration for stochastic linear bandit UAI 2022 Residual Language Model for End-to-end Speech Recognition Interspeech 2022 Resilient and Communication Efficient Learning for Heterogeneous Federated Systems ICML 2022 Resource-Adaptive Federated Learning with All-In-One Neural Composition NeurIPS 2022 Retaining Knowledge for Learning with Dynamic Definition NeurIPS 2022