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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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)

Hypernetworks for Zero-Shot Transfer in Reinforcement Learning AAAI 2023 Hyperparameter Optimization through Neural Network Partitioning ICLR 2023 HyperPELT: Unified Parameter-Efficient Language Model Tuning for Both Language and Vision-and-Language Tasks ACL 2023 HyperReenact: One-Shot Reenactment via Jointly Learning to Refine and Retarget Faces ICCV 2023 HyperShot: Few-Shot Learning by Kernel HyperNetworks WACV 2023 HyperTuning: Toward Adapting Large Language Models without Back-propagation ICML 2023 Hypothesis Transfer Learning with Surrogate Classification Losses: Generalization Bounds through Algorithmic Stability ICML 2023 I2C-Huelva at SemEval-2023 Task 10: Ensembling Transformers Models for the Detection of Online Sexism SemEval 2023 I2R at SemEval-2023 Task 7: Explanations-driven Ensemble Approach for Natural Language Inference over Clinical Trial Data SemEval 2023 IACS-LRILT: Machine Translation for Low-Resource Indic Languages EMNLP 2023 IAG: Induction-Augmented Generation Framework for Answering Reasoning Questions EMNLP 2023 IBA: Towards Irreversible Backdoor Attacks in Federated Learning NeurIPS 2023 I Can't Believe There's No Images! Learning Visual Tasks Using only Language Supervision ICCV 2023 ICA-Proto: Iterative Cross Alignment Prototypical Network for Incremental Few-Shot Relation Classification EACL 2023 i-Code: An Integrative and Composable Multimodal Learning Framework AAAI 2023 IDAS: Intent Discovery with Abstractive Summarization ACL 2023 IdealGPT: Iteratively Decomposing Vision and Language Reasoning via Large Language Models EMNLP 2023 IDEAL: Query-Efficient Data-Free Learning from Black-Box Models ICLR 2023 Identify Event Causality with Knowledge and Analogy AAAI 2023 Identifying the Correlation Between Language Distance and Cross-Lingual Transfer in a Multilingual Representation Space EACL 2023 Identifying Useful Learnwares for Heterogeneous Label Spaces ICML 2023 IDRISI-RA: The First Arabic Location Mention Recognition Dataset of Disaster Tweets ACL 2023 IFSeg: Image-Free Semantic Segmentation via Vision-Language Model CVPR 2023 ImageNet Pre-training Also Transfers Non-robustness AAAI 2023 Images in Language Space: Exploring the Suitability of Large Language Models for Vision & Language Tasks ACL 2023