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)

Identifying Self-Disclosures of Use, Misuse and Addiction in Community-based Social Media Posts NAACL 2024 ID-like Prompt Learning for Few-Shot Out-of-Distribution Detection CVPR 2024 IF-Font: Ideographic Description Sequence-Following Font Generation NeurIPS 2024 IgnitionInnovators at “Discharge Me!”: Chain-of-Thought Instruction Finetuning Large Language Models for Discharge Summaries ACL 2024 iHealth-Chile-1 at RRG24: In-context Learning and Finetuning of a Large Multimodal Model for Radiology Report Generation ACL 2024 I Learn Better If You Speak My Language: Understanding the Superior Performance of Fine-Tuning Large Language Models with LLM-Generated Responses EMNLP 2024 ILLUMINER: Instruction-tuned Large Language Models as Few-shot Intent Classifier and Slot Filler COLING 2024 Imitating Language via Scalable Inverse Reinforcement Learning NeurIPS 2024 Imitation Bootstrapped Reinforcement Learning RSS 2024 IMM: An Imitative Reinforcement Learning Approach with Predictive Representation Learning for Automatic Market Making IJCAI 2024 IMNTPU at ML-ESG-3: Transformer Language Models for Multi-Lingual ESG Impact Type and Duration Classification COLING 2024 ImplicaTR: A Granular Dataset for Natural Language Inference and Pragmatic Reasoning in Turkish ACL 2024 Implicit Regularization of Sharpness-Aware Minimization for Scale-Invariant Problems NeurIPS 2024 Improved Bayes Regret Bounds for Multi-Task Hierarchical Bayesian Bandit Algorithms NeurIPS 2024 Improved Self-Training for Test-Time Adaptation CVPR 2024 Improve Meta-learning for Few-Shot Text Classification with All You Can Acquire from the Tasks EMNLP 2024 Improve Student’s Reasoning Generalizability through Cascading Decomposed CoTs Distillation EMNLP 2024 Improving Cross-Lingual CSR Classification Using Pretrained Transformers with Variable Selection Networks and Data Augmentation COLING 2024 Improving Cross-lingual Transfer with Contrastive Negative Learning and Self-training COLING 2024 Improving Few-Shot Cross-Domain Named Entity Recognition by Instruction Tuning a Word-Embedding based Retrieval Augmented Large Language Model EMNLP 2024 Improving Generalization in Federated Learning with Model-Data Mutual Information Regularization: A Posterior Inference Approach NeurIPS 2024 Improving Generalization of Alignment with Human Preferences through Group Invariant Learning ICLR 2024 Improving Generalization via Meta-Learning on Hard Samples CVPR 2024 Improving Generalized Zero-Shot Learning by Exploring the Diverse Semantics from External Class Names CVPR 2024 Improving Knowledge Extraction from LLMs for Task Learning through Agent Analysis AAAI 2024