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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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)

Label-free Concept Bottleneck Models ICLR 2023 Label-Only Model Inversion Attacks via Knowledge Transfer NeurIPS 2023 Labels are not necessary: Assessing peer-review helpfulness using domain adaptation based on self-training ACL 2023 Label Words are Anchors: An Information Flow Perspective for Understanding In-Context Learning EMNLP 2023 LABERT: A Combination of Local Aggregation and Self-Supervised Speech Representation Learning for Detecting Informative Hidden Units in Low-Resource ASR Systems Interspeech 2023 LAC - Latent Action Composition for Skeleton-based Action Segmentation ICCV 2023 LaFTer: Label-Free Tuning of Zero-shot Classifier using Language and Unlabeled Image Collections NeurIPS 2023 Landscape Surrogate: Learning Decision Losses for Mathematical Optimization Under Partial Information NeurIPS 2023 Language Anisotropic Cross-Lingual Model Editing ACL 2023 Language Model Personalization for Improved Touchscreen Typing Interspeech 2023 Language Models are Weak Learners NeurIPS 2023 Language Models Can Improve Event Prediction by Few-Shot Abductive Reasoning NeurIPS 2023 Language Models Get a Gender Makeover: Mitigating Gender Bias with Few-Shot Data Interventions ACL 2023 Large Dataset Generation of Synchronized Music Audio and Lyrics at Scale using Teacher-Student Paradigm Interspeech 2023 Large Decision Models IJCAI 2023 Large Language Models Are Latent Variable Models: Explaining and Finding Good Demonstrations for In-Context Learning NeurIPS 2023 Large Language Models are legal but they are not: Making the case for a powerful LegalLLM EMNLP 2023 Large Language Models Can be Lazy Learners: Analyze Shortcuts in In-Context Learning ACL 2023 Large Language Models Can Self-Improve EMNLP 2023 Large-scale Lifelong Learning of In-context Instructions and How to Tackle It ACL 2023 Large-scale similarity search with Optimal Transport EMNLP 2023 Large-Scale Training Data Search for Object Re-Identification CVPR 2023 LASP: Text-to-Text Optimization for Language-Aware Soft Prompting of Vision & Language Models CVPR 2023 Last Layer Re-Training is Sufficient for Robustness to Spurious Correlations ICLR 2023 Latency Matters: Real-Time Action Forecasting Transformer CVPR 2023