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

2

4

12

24

14

20

29

31

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)

Test-Time Amendment with a Coarse Classifier for Fine-Grained Classification NeurIPS 2023 Test-time Personalizable Forecasting of 3D Human Poses ICCV 2023 Test-Time Robust Personalization for Federated Learning ICLR 2023 Test-Time Self-Adaptive Small Language Models for Question Answering EMNLP 2023 Text2Topic: Multi-Label Text Classification System for Efficient Topic Detection in User Generated Content with Zero-Shot Capabilities EMNLP 2023 TextManiA: Enriching Visual Feature by Text-driven Manifold Augmentation ICCV 2023 Text-only Domain Adaptation using Unified Speech-Text Representation in Transducer Interspeech 2023 Text-To-Concept (and Back) via Cross-Model Alignment ICML 2023 Textually Pretrained Speech Language Models NeurIPS 2023 Thai Dialect Corpus and Transfer-based Curriculum Learning Investigation for Dialect Automatic Speech Recognition Interspeech 2023 The ADAIO System at the BEA-2023 Shared Task: Shared Task Generating AI Teacher Responses in Educational Dialogues ACL 2023 The Aggregation–Heterogeneity Trade-off in Federated Learning COLT 2023 The Best of Both Worlds: Accurate Global and Personalized Models through Federated Learning with Data-Free Hyper-Knowledge Distillation ICLR 2023 The Best of Both Worlds: Combining Human and Machine Translations for Multilingual Semantic Parsing with Active Learning ACL 2023 The Blessing of Heterogeneity in Federated Q-Learning: Linear Speedup and Beyond ICML 2023 The Change You Want To See WACV 2023 The communication cost of security and privacy in federated frequency estimation AISTATS 2023 The CoT Collection: Improving Zero-shot and Few-shot Learning of Language Models via Chain-of-Thought Fine-Tuning EMNLP 2023 The Devil is in the Details: On Models and Training Regimes for Few-Shot Intent Classification EACL 2023 The Devil Is in the Frequency: Geminated Gestalt Autoencoder for Self-Supervised Visual Pre-training AAAI 2023 The Devil is in the Wrongly-classified Samples: Towards Unified Open-set Recognition ICLR 2023 The Effectiveness of MAE Pre-Pretraining for Billion-Scale Pretraining ICCV 2023 The Effect of Diversity in Meta-Learning AAAI 2023 The Effect of Modeling Human Rationality Level on Learning Rewards from Multiple Feedback Types AAAI 2023 The Effects of Input Type and Pronunciation Dictionary Usage in Transfer Learning for Low-Resource Text-to-Speech Interspeech 2023