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

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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)

In-Context Learning Agents Are Asymmetric Belief Updaters ICML 2024 In-context Learning Generalizes, But Not Always Robustly: The Case of Syntax NAACL 2024 In-Context Learning Learns Label Relationships but Is Not Conventional Learning ICLR 2024 In-Context Learning May Not Elicit Trustworthy Reasoning: A-Not-B Errors in Pretrained Language Models EMNLP 2024 In-Context Learning State Vector with Inner and Momentum Optimization NeurIPS 2024 In-Context Learning with Iterative Demonstration Selection EMNLP 2024 In-Context Learning with Transformers: Softmax Attention Adapts to Function Lipschitzness NeurIPS 2024 In-context Mixing (ICM): Code-mixed Prompts for Multilingual LLMs ACL 2024 In-Context Principle Learning from Mistakes ICML 2024 In-Context Symbolic Regression: Leveraging Large Language Models for Function Discovery ACL 2024 In-Context Unlearning: Language Models as Few-Shot Unlearners ICML 2024 In-context Vectors: Making In Context Learning More Effective and Controllable Through Latent Space Steering ICML 2024 Incorporating Dialect Understanding Into LLM Using RAG and Prompt Engineering Techniques for Causal Commonsense Reasoning NAACL 2024 Incorporating Geo-Diverse Knowledge into Prompting for Increased Geographical Robustness in Object Recognition CVPR 2024 Incorporating Test-Time Optimization into Training with Dual Networks for Human Mesh Recovery NeurIPS 2024 Incremental pre-training from smaller language models ACL 2024 Incubating Text Classifiers Following User Instruction with Nothing but LLM EMNLP 2024 IndiFoodVQA: Advancing Visual Question Answering and Reasoning with a Knowledge-Infused Synthetic Data Generation Pipeline EACL 2024 IndoCL: Benchmarking Indonesian Language Development Assessment EMNLP 2024 Induced Model Matching: Restricted Models Help Train Full-Featured Models NeurIPS 2024 Inductive biases of multi-task learning and finetuning: multiple regimes of feature reuse NeurIPS 2024 Inference and Verbalization Functions During In-Context Learning EMNLP 2024 Information Association for Language Model Updating by Mitigating LM-Logical Discrepancy CoNLL 2024 Infrared-LLaVA: Enhancing Understanding of Infrared Images in Multi-Modal Large Language Models EMNLP 2024 Initialization Matters for Adversarial Transfer Learning CVPR 2024