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

3

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12

24

14

20

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

'5

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Papers (including subtopics)

The Well: a Large-Scale Collection of Diverse Physics Simulations for Machine Learning NeurIPS 2024 Thinking Forward: Memory-Efficient Federated Finetuning of Language Models NeurIPS 2024 Think Twice Before Selection: Federated Evidential Active Learning for Medical Image Analysis with Domain Shifts CVPR 2024 This Too Shall Pass: Removing Stale Observations in Dynamic Bayesian Optimization NeurIPS 2024 Three Heads Are Better than One: Improving Cross-Domain NER with Progressive Decomposed Network AAAI 2024 TiC-CLIP: Continual Training of CLIP Models ICLR 2024 Tight Rates in Supervised Outlier Transfer Learning ICLR 2024 Time-FFM: Towards LM-Empowered Federated Foundation Model for Time Series Forecasting NeurIPS 2024 Timeline-based Sentence Decomposition with In Context Learning for Temporal Fact Extraction ACL 2024 Time-LLM: Time Series Forecasting by Reprogramming Large Language Models ICLR 2024 Time-Varying LoRA: Towards Effective Cross-Domain Fine-Tuning of Diffusion Models NeurIPS 2024 TinyStyler: Efficient Few-Shot Text Style Transfer with Authorship Embeddings EMNLP 2024 Tiny Time Mixers (TTMs): Fast Pre-trained Models for Enhanced Zero/Few-Shot Forecasting of Multivariate Time Series NeurIPS 2024 TLab at #SMM4H 2024: Retrieval-Augmented Generation for ADE Extraction and Normalization ACL 2024 TM-TREK at SemEval-2024 Task 8: Towards LLM-Based Automatic Boundary Detection for Human-Machine Mixed Text SemEval 2024 TMU-HIT’s Submission for the WMT24 Quality Estimation Shared Task: Is GPT-4 a Good Evaluator for Machine Translation? EMNLP 2024 To Drop or Not to Drop? Predicting Argument Ellipsis Judgments: A Case Study in Japanese COLING 2024 TokenVerse: Towards Unifying Speech and NLP Tasks via Transducer-based ASR EMNLP 2024 Tolerant Algorithms for Learning with Arbitrary Covariate Shift NeurIPS 2024 ToNER: Type-oriented Named Entity Recognition with Generative Language Model COLING 2024 TOOLVERIFIER: Generalization to New Tools via Self-Verification EMNLP 2024 Topic-guided Example Selection for Domain Adaptation in LLM-based Machine Translation EACL 2024 ToPro: Token-Level Prompt Decomposition for Cross-Lingual Sequence Labeling Tasks EACL 2024 To Translate or Not to Translate: A Systematic Investigation of Translation-Based Cross-Lingual Transfer to Low-Resource Languages NAACL 2024 Toward a Well-Calibrated Discrimination via Survival Outcome-Aware Contrastive Learning NeurIPS 2024