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

'10

'15

'20

'25

Papers (including subtopics)

Auto-Encoding Variational Neural Machine Translation ACL 2019 Automated Cross-language Intelligibility Analysis of Parkinson’s Disease Patients Using Speech Recognition Technologies ACL 2019 Automated Model Selection with Bayesian Quadrature ICML 2019 Automatic Adaptation of Object Detectors to New Domains Using Self-Training CVPR 2019 Automatically Composing Representation Transformations as a Means for Generalization ICLR 2019 Automatic Generation of High Quality CCGbanks for Parser Domain Adaptation ACL 2019 Autonomous Emotion Learning in Speech: A View of Zero-Shot Speech Emotion Recognition Interspeech 2019 Auto-ReID: Searching for a Part-Aware ConvNet for Person Re-Identification ICCV 2019 AutoSeM: Automatic Task Selection and Mixing in Multi-Task Learning NAACL 2019 A Wind of Change: Detecting and Evaluating Lexical Semantic Change across Times and Domains ACL 2019 BabyAI: A Platform to Study the Sample Efficiency of Grounded Language Learning ICLR 2019 Bad Form: Comparing Context-Based and Form-Based Few-Shot Learning in Distributional Semantic Models EMNLP 2019 Bag-of-Words Transfer: Non-Contextual Techniques for Multi-Task Learning EMNLP 2019 Bayesian Counterfactual Risk Minimization ICML 2019 Bayesian Generative Active Deep Learning ICML 2019 Bayesian Learning of Neural Network Architectures AISTATS 2019 Bayesian Loss for Crowd Count Estimation With Point Supervision ICCV 2019 Bayesian Optimization Meets Bayesian Optimal Stopping ICML 2019 BayesSim: Adaptive Domain Randomization Via Probabilistic Inference for Robotics Simulators RSS 2019 Benchmarking Approximate Inference Methods for Neural Structured Prediction NAACL 2019 BERT and PALs: Projected Attention Layers for Efficient Adaptation in Multi-Task Learning ICML 2019 BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding NAACL 2019 Beto, Bentz, Becas: The Surprising Cross-Lingual Effectiveness of BERT EMNLP 2019 Better Character Language Modeling through Morphology ACL 2019 Better Fine-Tuning via Instance Weighting for Text Classification AAAI 2019