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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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)

Byzantine-robust Decentralized Federated Learning via Dual-domain Clustering and Trust Bootstrapping CVPR 2024 Byzantine Robustness and Partial Participation Can Be Achieved at Once: Just Clip Gradient Differences NeurIPS 2024 CableInspect-AD: An Expert-Annotated Anomaly Detection Dataset NeurIPS 2024 CAILA: Concept-Aware Intra-Layer Adapters for Compositional Zero-Shot Learning WACV 2024 CamemBERT-bio: Leveraging Continual Pre-training for Cost-Effective Models on French Biomedical Data COLING 2024 Can Active Label Correction Improve LLM-based Modular AI Systems? EMNLP 2024 CANDLE: Iterative Conceptualization and Instantiation Distillation from Large Language Models for Commonsense Reasoning ACL 2024 Can GPT-4 do L2 analytic assessment? NAACL 2024 Can GPT-4 Identify Propaganda? Annotation and Detection of Propaganda Spans in News Articles COLING 2024 Can Large Language Models Enhance Predictions of Disease Progression? Investigating Through Disease Network Link Prediction EMNLP 2024 Can Large Language Models Understand DL-Lite Ontologies? An Empirical Study EMNLP 2024 Can Learned Optimization Make Reinforcement Learning Less Difficult? NeurIPS 2024 Can LLMs Fix Issues with Reasoning Models? Towards More Likely Models for AI Planning AAAI 2024 Can LLMs Learn by Teaching for Better Reasoning? A Preliminary Study NeurIPS 2024 Can LLMs Learn from Previous Mistakes? Investigating LLMs’ Errors to Boost for Reasoning ACL 2024 Can LLMs Reason in the Wild with Programs? EMNLP 2024 Can LLMs Reason with Rules? Logic Scaffolding for Stress-Testing and Improving LLMs ACL 2024 Can Machine Translation Bridge Multilingual Pretraining and Cross-lingual Transfer Learning? COLING 2024 Can Mamba Learn How To Learn? A Comparative Study on In-Context Learning Tasks ICML 2024 Can probing classifiers reveal the learning by contact center large language models?: No, it doesn’t! NAACL 2024 Can Synthetic Audio From Generative Foundation Models Assist Audio Recognition and Speech Modeling? Interspeech 2024 CARZero: Cross-Attention Alignment for Radiology Zero-Shot Classification CVPR 2024 CASE: Efficient Curricular Data Pre-training for Building Assistive Psychology Expert Models EMNLP 2024 CAT: Exploiting Inter-Class Dynamics for Domain Adaptive Object Detection CVPR 2024 Causal Graph Modeling with Deep Neural Engines for Strong Abstract Reasoning in Language and Vision IJCAI 2024