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

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14

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32

66

53

67

103

206

482

852

1,124

1,566

1,867

2,410

2,658

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856

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Papers (including subtopics)

IIITT at CASE 2021 Task 1: Leveraging Pretrained Language Models for Multilingual Protest Detection ACL 2021 IIITT@DravidianLangTech-EACL2021: Transfer Learning for Offensive Language Detection in Dravidian Languages EACL 2021 IITK at SemEval-2021 Task 10: Source-Free Unsupervised Domain Adaptation using Class Prototypes SemEval 2021 Imitation with Neural Density Models NeurIPS 2021 Imperfect also Deserves Reward: Multi-Level and Sequential Reward Modeling for Better Dialog Management NAACL 2021 Implicit Deep Adaptive Design: Policy-Based Experimental Design without Likelihoods NeurIPS 2021 Implicit MLE: Backpropagating Through Discrete Exponential Family Distributions NeurIPS 2021 Implicit Semantic Response Alignment for Partial Domain Adaptation NeurIPS 2021 Implicit Under-Parameterization Inhibits Data-Efficient Deep Reinforcement Learning ICLR 2021 Improved Algorithms for Efficient Active Learning Halfspaces with Massart and Tsybakov Noise COLT 2021 Improved Meta-Learning Training for Speaker Verification Interspeech 2021 Improved pronunciation prediction accuracy using morphology ACL 2021 Improved Regularization and Robustness for Fine-tuning in Neural Networks NeurIPS 2021 Improve Unsupervised Pretraining for Few-Label Transfer ICCV 2021 Improving and Simplifying Pattern Exploiting Training EMNLP 2021 Improving Compositional Generalization in Classification Tasks via Structure Annotations ACL 2021 Improving Factual Consistency of Abstractive Summarization via Question Answering ACL 2021 Improving Federated Learning for Aspect-based Sentiment Analysis via Topic Memories EMNLP 2021 Improving Few-Shot Learning Using Composite Rotation Based Auxiliary Task WACV 2021 Improving Generalization in Meta-learning via Task Augmentation ICML 2021 Improving Generalization in Meta-RL with Imaginary Tasks from Latent Dynamics Mixture NeurIPS 2021 Improving Math Word Problems with Pre-trained Knowledge and Hierarchical Reasoning EMNLP 2021 Improving Performance of Seen and Unseen Speech Style Transfer in End-to-End Neural TTS Interspeech 2021 Improving Pretrained Cross-Lingual Language Models via Self-Labeled Word Alignment ACL 2021 Improving Pre-trained Vision-and-Language Embeddings for Phrase Grounding EMNLP 2021