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

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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)

Bayesian Active Learning in the Presence of Nuisance Parameters UAI 2024 Bayesian Coreset Optimization for Personalized Federated Learning ICLR 2024 Bayesian Example Selection Improves In-Context Learning for Speech, Text and Visual Modalities EMNLP 2024 Bayesian Program Learning by Decompiling Amortized Knowledge ICML 2024 Bayesian Regression Markets JMLR 2024 BECLR: Batch Enhanced Contrastive Few-Shot Learning ICLR 2024 Be Confident in What You Know: Bayesian Parameter Efficient Fine-Tuning of Vision Foundation Models NeurIPS 2024 BEIR-PL: Zero Shot Information Retrieval Benchmark for the Polish Language COLING 2024 Benchmarking Algorithms for Federated Domain Generalization ICLR 2024 Benchmarking Generative Models on Computational Thinking Tests in Elementary Visual Programming NeurIPS 2024 Benchmarking Hallucination in Large Language Models Based on Unanswerable Math Word Problem COLING 2024 Benchmarking Low-Resource Machine Translation Systems ACL 2024 Benchmarking Spurious Bias in Few-Shot Image Classifiers ECCV 2024 BenchX: A Unified Benchmark Framework for Medical Vision-Language Pretraining on Chest X-Rays NeurIPS 2024 BERTastic at SemEval-2024 Task 4: State-of-the-Art Multilingual Propaganda Detection in Memes via Zero-Shot Learning with Vision-Language Models SemEval 2024 BERTbek: A Pretrained Language Model for Uzbek COLING 2024 BERTtime Stories: Investigating the Role of Synthetic Story Data in Language Pre-training CoNLL 2024 Best of Both Worlds: A Pliable and Generalizable Neuro-Symbolic Approach for Relation Classification NAACL 2024 Beyond Accuracy Optimization: Computer Vision Losses for Large Language Model Fine-Tuning EMNLP 2024 Beyond Borders: Investigating Cross-Jurisdiction Transfer in Legal Case Summarization NAACL 2024 Beyond Canonical Fine-tuning: Leveraging Hybrid Multi-Layer Pooled Representations of BERT for Automated Essay Scoring COLING 2024 Beyond Common Words: Enhancing ASR Cross-Lingual Proper Noun Recognition Using Large Language Models EMNLP 2024 Beyond Efficiency: Molecular Data Pruning for Enhanced Generalization NeurIPS 2024 Beyond Fine-tuning: Unleashing the Potential of Continuous Pretraining for Clinical LLMs. EMNLP 2024 Beyond Full Fine-tuning: Harnessing the Power of LoRA for Multi-Task Instruction Tuning COLING 2024