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

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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)

Prototype-Guided Pseudo Labeling for Semi-Supervised Text Classification ACL 2023 Prototypes-oriented Transductive Few-shot Learning with Conditional Transport ICCV 2023 Prototypical Calibration for Few-shot Learning of Language Models ICLR 2023 Prototypical Kernel Learning and Open-set Foreground Perception for Generalized Few-shot Semantic Segmentation ICCV 2023 Prototypical Partial Optimal Transport for Universal Domain Adaptation AAAI 2023 Prototypical Variational Autoencoder for 3D Few-shot Object Detection NeurIPS 2023 Proto-Value Networks: Scaling Representation Learning with Auxiliary Tasks ICLR 2023 Provable Benefits of Representational Transfer in Reinforcement Learning COLT 2023 Provable Hierarchy-Based Meta-Reinforcement Learning AISTATS 2023 Provable Multi-instance Deep AUC Maximization with Stochastic Pooling ICML 2023 Provable Pathways: Learning Multiple Tasks over Multiple Paths AAAI 2023 Provably Efficient Lifelong Reinforcement Learning with Linear Representation ICLR 2023 PS-AAS: Portfolio Selection for Automated Algorithm Selection in Black-Box Optimization AutoML 2023 PTP: Boosting Stability and Performance of Prompt Tuning with Perturbation-Based Regularizer EMNLP 2023 PunCantonese: A Benchmark Corpus for Low-Resource Cantonese Punctuation Restoration from Speech Transcripts Interspeech 2023 Pushing the Accuracy-Group Robustness Frontier with Introspective Self-play ICLR 2023 QAID: Question Answering Inspired Few-shot Intent Detection ICLR 2023 Q-Match: Self-Supervised Learning by Matching Distributions Induced by a Queue ACML 2023 Quantifying the Variability Collapse of Neural Networks ICML 2023 Quantify the Political Bias in News Edits: Experiments with Few-Shot Learners (Student Abstract) AAAI 2023 Quantum Multi-Agent Meta Reinforcement Learning AAAI 2023 Quantum Ridgelet Transform: Winning Lottery Ticket of Neural Networks with Quantum Computation ICML 2023 Query6DoF: Learning Sparse Queries as Implicit Shape Prior for Category-Level 6DoF Pose Estimation ICCV 2023 QueryForm: A Simple Zero-shot Form Entity Query Framework ACL 2023 Query Your Model with Definitions in FrameNet: An Effective Method for Frame Semantic Role Labeling AAAI 2023