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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14

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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

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Papers (including subtopics)

Retrieving Relevant Context to Align Representations for Cross-lingual Event Detection ACL 2023 Retrosynthesis Prediction with Local Template Retrieval AAAI 2023 Re-ViLM: Retrieval-Augmented Visual Language Model for Zero and Few-Shot Image Captioning EMNLP 2023 Revisit Finetuning strategy for Few-Shot Learning to Transfer the Emdeddings ICLR 2023 Revisiting De-Identification of Electronic Medical Records: Evaluation of Within- and Cross-Hospital Generalization EMNLP 2023 Revisiting Logistic-softmax Likelihood in Bayesian Meta-Learning for Few-Shot Classification NeurIPS 2023 Revisiting Populations in multi-agent Communication ICLR 2023 Revisiting Prototypical Network for Cross Domain Few-Shot Learning CVPR 2023 Revisiting Scalarization in Multi-Task Learning: A Theoretical Perspective NeurIPS 2023 Revisiting the Knowledge Injection Frameworks EMNLP 2023 Revisiting the Spatial and Temporal Modeling for Few-Shot Action Recognition AAAI 2023 Revisiting Weighted Aggregation in Federated Learning with Neural Networks ICML 2023 Reward Imputation with Sketching for Contextual Batched Bandits NeurIPS 2023 Reward Learning as Doubly Nonparametric Bandits: Optimal Design and Scaling Laws AISTATS 2023 Re-weighting Tokens: A Simple and Effective Active Learning Strategy for Named Entity Recognition EMNLP 2023 Rigorous Runtime Analysis of MOEA/D for Solving Multi-Objective Minimum Weight Base Problems NeurIPS 2023 Ripple: Concept-Based Interpretation for Raw Time Series Models in Education AAAI 2023 RL4F: Generating Natural Language Feedback with Reinforcement Learning for Repairing Model Outputs ACL 2023 RLIPv2: Fast Scaling of Relational Language-Image Pre-Training ICCV 2023 RLSbench: Domain Adaptation Under Relaxed Label Shift ICML 2023 RoboCook: Long-Horizon Elasto-Plastic Object Manipulation with Diverse Tools CoRL 2023 Robotic Table Tennis: A Case Study into a High Speed Learning System RSS 2023 Robot Learning with Sensorimotor Pre-training CoRL 2023 Robust Domain Adaptation for Machine Reading Comprehension AAAI 2023 Robust Generalization Strategies for Morpheme Glossing in an Endangered Language Documentation Context EMNLP 2023